Requirements Description and Requirements Position Summary: A skilled Big Data (Hadoop) Administrator responsible for the installation, configuration, and maintenance of Cloudera Data Platform (CDP) and Cloudera Flow Management (CFM) streaming clusters on RedHat Linux. Proficiency in DevOps practices, scripting, and infrastructure-as-code for automating routine tasks and improving operational efficiency is desirable. Experience working with cross-functional teams, including application development, infrastructure, and operations, is preferred. Job Responsibilities: Manages the design, distribution, performance, replication, security, availability, and access requirements for large and complex Big Data clusters. Designs and develops the architecture and configurations to support various application needs; implements backup, recovery, archiving, conversion strategies, and performance tuning; manages job scheduling, application release, cluster changes, and compliance. Identifies and resolves issues utilizing structured tools and techniques. Provides technical assistance and mentoring to staff in all aspects of Hadoop cluster management; consults and advises application development teams on security, query optimization, and performance. Writes scripts to automate routine cluster management tasks and documents maintenance processing flows per standards. Implement industry best practices while performing Hadoop cluster administration tasks. Works in an Agile model with a strong understanding of Agile concepts. Collaborates with development teams to provide and implement new features. Debugs production issues by analyzing logs directly and using tools like Splunk and Elastic. Address organizational obstacles to enhance processes and workflows. Adopts and learns new technologies based on demand and supports team members by coaching and assisting. Education: Bachelor’s degree in computer science, Information Systems, or another related field with 10+ years of IT and Infrastructure engineering work experience. Experience: 10+ Years Total IT experience & 7+ Years relevant experience in Big Data database Technical Skills: Big Data Platform Management : Big Data Platform Management: Expertise in managing and optimizing the Cloudera Data Platform, including components such as Apache Hadoop (YARN and HDFS), Apache HBase, Apache Solr , Apache Hive, Apache Kafka, Apache NiFi , Apache Ranger, Apache Spark, as well as JanusGraph and IBM BigSQL . Data Infrastructure & Security : Proficient in designing and implementing robust data infrastructure solutions with a strong focus on data security, utilizing tools like Apache Ranger and Kerberos. Performance Tuning & Optimization : Skilled in performance tuning and optimization of big data environments, leveraging advanced techniques to enhance system efficiency and reduce latency. Backup & Recovery : Experienced in developing and executing comprehensive backup and recovery strategies to safeguard critical data and ensure business continuity. Linux & Troubleshooting : Strong knowledge of Linux operating systems , with proven ability to troubleshoot and resolve complex technical issues, collaborating effectively with cross-functional teams. DevOps & Scripting : Proficient in scripting and automation using tools like Ansible, enabling seamless integration and automation of cluster operations. Experienced in infrastructure-as-code practices and observability tools such as Elastic. Agile & Collaboration : Strong understanding of Agile SAFe for Teams, with the ability to work effectively in Agile environments and collaborate with cross-functional teams. ITSM Process & Tools : Knowledgeable in ITSM processes and tools such as ServiceNow. Other critical Requirement: Automation and Scripting : Proficiency in automation tools and programming languages such as Ansible and Python to streamline operations and improve efficiency. Analytical and Problem-Solving Skills : Strong analytical and problem-solving abilities to address complex technical challenges in a dynamic enterprise environment. Communication Skills : Exceptional written and oral communication skills, with the ability to clearly articulate technical and functional issues, conclusions, and recommendations to stakeholders at all levels. 24x7 Support : Ability to work in a 24x7 rotational shift to support Hadoop platforms and ensure high availability. Stakeholder Management : Prior experience in effectively managing both onshore and offshore stakeholders, ensuring alignment and collaboration across teams. Business Presentations : Skilled in creating and delivering impactful business presentations to communicate key insights and recommendations. Collaboration and Independence : Demonstrated ability to work independently as well as collaboratively within a team environment, ensuring successful project delivery in a complex enterprise setting. About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us! 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Role Overview: Kunato.Ai seeks a skilled Python Developer to drive the backend architecture of our platform. This role involves building and maintaining high-performance server-side applications, integrating with the frontend components, and deploying scalable solutions using containerization and orchestration tools. Responsibilities: Develop and maintain server-side code in Python following SOLID design principles Design, build, and optimize low-latency, scalable applications. Integrate user-facing elements developed by front-end developers with server-side logic via RESTful APIs. Maintain ETL and Data pipelines Implement secure data handling, storage, and processing protocols. Manage authentication and authorization protocols across systems and environments. Ensure security and data protection measures. Setup efficient deployment practices with Docker and Kubernetes Leverage caching solutions for enhanced performance and scalability. Skills and Qualifications: Technical Proficiency: Strong experience in Python, with proficiency in at least one Python web framework (e.g., FastAPI, Flask) Familiarity with ORM libraries and the ability to integrate multiple data sources and databases. Experience: Minimum 1.5 years of professional experience with Python in backend development roles. Programming Practices: Knowledge of asynchronous programming in Python. Experience with event-driven architecture and messaging tools (e.g., Apache Kafka, RabbitMQ). Experience with NoSQL databases (e.g., Mongo, Cassandra, etc). Experience with Vector databases (e.g., Elastic search or Qdrant or OpenSearch). Exposure to Docker for application containerization and Kubernetes for deployment and orchestration. Testing and Debugging: Strong unit testing and debugging skills to ensure code quality. Ability to setup and utilize Monitoring and Logging frameworks effectively (ELK, Prometheus, Grafana etc) Performance Optimization: Experience with caching tools such as Redis for optimized application performance and scalability. Experience working with SQL and common NoSQL databases (MongoDB, Elasticsearch) Show more Show less

Job Title - Software Engineer II - Backend Role - Our client is looking for highly passionate software engineers to build highly scalable and low latency cloud services that deliver personalised digital marketing experiences to billions of users globally. You will work closely with senior engineers on one of the most sophisticated rule based decisioning systems. Additionally, you will also contribute towards building several integrations for example with Email service providers, SMS service providers, Push notification services, CRM platforms, Paid media platforms, Ticketing systems etc. You will work on cutting edge technologies like Ruby on Rails, Elixir, Rust etc. which will help you gain a lot of experience on building scalable and performant backend systems. Responsibilities - Work with team members to design, develop and deploy new features to the Campaign execution engine. Build new microservices during the process as required. Work with multiple teams during the process. Build new features for the integration framework. Build new microservices during the process as required. Build new application integrations within the integration framework. Work on projects to improve performance, scalability and stability of existing services. Work with the support team to debug, analyze and respond to customer issues. Requirements Bachelors/Masters in Computer Science or related fields. 2+ years of experience on building applications as a backend engineer. Solid understanding of CS concepts including OOP, data structures, concurrency. Solid understanding of relational databases and SQL. Attention to detail, curiosity, proactiveness, willingness to learn, sense of ownership are critical qualities to succeed. Good communication and coordination skills. Experience working on Unix based systems. Experience working on a public cloud like AWS/Azure/GCP will be an advantage. Experience working on a modern language like Elixir/Rust/Golang will be an advantage. Experience with NoSQL systems such as Cassandra/ScyllaDB, ElasticSearch, REDIS will be a great advantage. Show more Show less

About The Role We are looking for a highly skilled and experienced Senior React Native Developer to join our team and take the lead on developing our cross-platform mobile application. You’ll play a critical role in building, launching, and scaling a high-performance mobile app that runs seamlessly on both iOS and Android platforms from a single codebase. If you’re passionate about mobile technologies, have a strong command of React Native, and are excited about creating a high-quality product from the ground up, we’d love to hear from you. Responsibilities Lead the end-to-end development of a cross-platform mobile application using React Native. Collaborate with product managers, designers, and backend engineers to deliver high-quality user experiences. Build reusable components and front-end libraries for future use. Optimize app performance for speed and scalability across devices and OS versions. Ensure the app complies with design standards and platform-specific guidelines (Apple App Store & Google Play). Set up CI/CD pipelines for automated builds, testing, and deployment (e.g., using Fastlane, EAS, or similar). Integrate RESTful APIs and third-party services. Handle app store submissions and updates. Mentor junior developers and enforce best practices in mobile development. Requirements Must-Have: 5+ years of experience in mobile application development. 3+ years of hands-on experience with React Native. Strong understanding of JavaScript (ES6+), TypeScript, and React architecture. Deep knowledge of iOS and Android mobile app development lifecycle. Experience with mobile UI/UX best practices and performance optimization. Familiarity with native build tools (Xcode, Android Studio). Experience integrating REST APIs and handling network latency issues. Proficient with Git, GitHub/GitLab, and agile development practices. Experience with push notifications, in-app purchases, deep linking, and analytics SDKs. Preferred Experience with Expo or EAS for managed workflows. Familiarity with mobile CI/CD pipelines (Fastlane, Bitrise, etc.). Experience with native modules (Objective-C/Swift and Java/Kotlin) as needed. Knowledge of automated testing frameworks (Jest, Detox). Published apps in both the App Store and Google Play. Prior experience in startups or high-growth environments. What We Offer Opportunity to lead and build a product from the ground up. Work with a dynamic and talented team in a fast-paced environment. Flexible working hours and remote-first culture. Competitive salary and equity options (if applicable). Learning and development budget. Skills:- React Native, Javascript, Mobile App Development, RESTful APIs, User Interface (UI) Development, TypeScript, Redux/Flux, GitHub, CI/CD, Mobile App Design, User Experience (UX) Design, Automated testing, gitlab and Git Show more Show less

About The Role We are looking for a highly skilled and experienced Junior React Native Developer to join our team and take the lead on developing our cross-platform mobile application. You’ll play a critical role in building, launching, and scaling a high-performance mobile app that runs seamlessly on both iOS and Android platforms from a single codebase. If you’re passionate about mobile technologies, have a strong command of React Native, and are excited about creating a high-quality product from the ground up, we’d love to hear from you. Responsibilities Lead the end-to-end development of a cross-platform mobile application using React Native. Collaborate with product managers, designers, and backend engineers to deliver high-quality user experiences. Build reusable components and front-end libraries for future use. Optimize app performance for speed and scalability across devices and OS versions. Ensure the app complies with design standards and platform-specific guidelines (Apple App Store & Google Play). Set up CI/CD pipelines for automated builds, testing, and deployment (e.g., using Fastlane, EAS, or similar). Integrate RESTful APIs and third-party services. Handle app store submissions and updates. Mentor junior developers and enforce best practices in mobile development. Requirements Must-Have: 1+ years of experience in mobile application development. 1+ years of hands-on experience with React Native. Strong understanding of JavaScript (ES6+), TypeScript, and React architecture. Deep knowledge of iOS and Android mobile app development lifecycle. Experience with mobile UI/UX best practices and performance optimization. Familiarity with native build tools (Xcode, Android Studio). Experience integrating REST APIs and handling network latency issues. Proficient with Git, GitHub/GitLab, and agile development practices. Experience with push notifications, in-app purchases, deep linking, and analytics SDKs. Preferred Experience with Expo or EAS for managed workflows. Familiarity with mobile CI/CD pipelines (Fastlane, Bitrise, etc.). Experience with native modules (Objective-C/Swift and Java/Kotlin) as needed. Knowledge of automated testing frameworks (Jest, Detox). Published apps in both the App Store and Google Play. Prior experience in startups or high-growth environments. What We Offer Opportunity to lead and build a product from the ground up. Work with a dynamic and talented team in a fast-paced environment. Flexible working hours and remote-first culture. Competitive salary and equity options (if applicable). Learning and development budget. Skills:- React Native, RESTful APIs, Javascript, Mobile App Development, Android Development, iOS App Development, GitHub, Git, SDK and Xcode Show more Show less

Position Overview: As a Backend Developer at ShyftLabs, you will work closely with our cross-functional teams, including product managers, developers, and stakeholders, to create user-centric and visually appealing designs for our digital solutions. You will be responsible for developing and delivering high-quality user interfaces and user experiences that meet our clients’ needs and exceed their expectations. ShyftLabs is a rapidly growing data product company that specializes in creating digital solutions for Fortune 500 companies across various industries. We are looking for a talented and experienced Backend Developer to join our team and help us continue to deliver innovative solutions that help accelerate business growth. Job Responsibilities: Design and architect scalable, high-performance backend systems. Lead the development of system architecture, including high-level and low-level design (HLD/LLD). Ensure that the system design adheres to industry best practices and principles, such as microservices, distributed systems, and cloud-native architectures. Develop and optimize backend components, including APIs, databases, and server-side logic. Implement best practices for security, performance, and scalability in backend development. Monitor and optimize system performance, ensuring low latency and high availability. Implement logging, monitoring, and alerting systems to ensure system health and quick troubleshooting. Collaborate with cross-functional teams, including frontend developers, product managers, and DevOps, to deliver end-to-end solutions. Help set and maintain high coding standards within the team. Basic Qualifications: Strong Java skills with a minimum of 4 years of experience in Java. At least 1+ year of experience in Kotlin. Experience with GraphQL for efficient data querying and API development. Familiarity with relational databases like Postgres and ORM frameworks such as Hibernate. Experience working with MongoDB for NoSQL database management and Kafka for event-driven architecture and message streaming. Show more Show less

As a Principal Software Engineer, you should be proficient in Data Structures and Algorithms, Java, object-oriented principles, building distributed systems, vector databases, containerization, orchestration, and cloud-native architectures. You will collaborate with cross-functional teams to build scalable, reliable, and production-ready solutions. Oracle is investing heavily in Generative AI, and as a Principal Software Engineer, you must have a good understanding and experience in leveraging the capabilities of Large Language Models. In this role, you will design, develop, and build scalable services that leverage the latest and greatest advancements in GenAI to solve complex business problems intelligently. Your expertise will be pivotal in developing Conversational AI solutions, Agentic flows using LLM and other cutting-edge Machine learning techniques to shape up and enhance users' experience with AI/ML/GenAI capabilities. You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions. The ideal candidate is highly technical, proficient in Java, Python, Data Structures, Algorithms, Kubernetes, Agentic frameworks (LangGraph, Autogen, AG2, Agent Development Kit) and has experience in building scalable solutions particularly around ML and AI/GenAI/Agentic Workflows, but can lead across the full stack, along with good product sense and business understanding, to map the technology choices to the context of each initiative. Responsibilities: Write elegant and performant code in Java. Create detailed technical designs specifications, present it to the team and write code as per the design. Perform thorough peer code reviews. Design and build scalable solutions for distributed systems using microservices. Develop proof of concepts in Java as well as python for AI and GenAI solutions. Design and build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks, etc. in GenAI space. Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver AI/ML capabilities in a micoservcies architecture for our customers. Leverage third-party and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems with low latency serving and reliable means to update/re-train ML models. Design, test, and deploy Machine learning models, including large-language models and build pipelines at scale for batch and real-time use cases. Work collaboratively with cross-functional partners including product managers, operations team, and data scientists. Communicate continually with the project teams and explain progress on the development effort. Ensures quality of work through development standards and QA procedures. Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops. Identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact. Show more Show less

The Role We are looking for intermediate full-stack software engineers who are passionate about solving business problems through innovation and engineering practices. This role will be responsible for writing code, pairing with other developers as appropriate, decomposing acceptance criteria to understand team backlog deliverables, complexities, and risk, while working as a strong contributor on an agile team. From a technical standpoint, the Software Engineer has full-stack coding and implementation responsibilities and adheres to best practice principles, including modern cloud-based software development, agile and scrum, code quality, and tool usage. The Software Engineer works to understand and influence software architecture, while contributing to Citi’s and GFT’s technical user base. Responsibilities Apply depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with stakeholders on a regular basis Develop and engineer solutions within an Agile software delivery team, working to collaboratively deliver sprint goals, write code, and participate in the broader Citi technical community and team-level Agile and Scrum processes. Contribute to the design, documentation, and development of world-class enterprise applications leveraging the latest technologies and software design patterns. Leverage technical knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues, as necessary. Follow and contribute to defining technical and team standards. Collaborate technical leadership to achieve established goals, in line with our broader technical strategy. Required Qualifications 5+ years of experience as a Software Engineer/Developer using Java Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.). Clear understanding of Data Structures and Object Oriented Principles using Java Multiple years of experience on Service Oriented and MicroServices architectures, including REST and GraphQL implementations. Exposure to front-end technologies (Angular, Javascript, Typescript) Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.) Multiple years of experience with frameworks like Spring Boot, Quarkus, Micronaut, or Vert.x Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, CircleCI, Cloudbees Jenkins, etc.). Multiple years of experience with agile and iterative software delivery (SCRUM, Kanban) Exposure to Database technologies (RDBMS, NoSQL, Oracle, MySQL, Mongo) Exposure to event-driven design and architecture (i.e., Kafka, Spark Flink, RabbitMQ, etc.) B.Tech/B.Engg degree or equivalent work experience Preferred Qualifications Exposure to architecture experience in building horizontally scalable, highly available, highly resilient, and low latency applications. Exposure to Cloud infrastructure both on-premise and public cloud (i.e., OpenShift, AWS, etc.). Exposure to API Management tools Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.) Exposure to Security, Observability, and Monitoring (i.e., Grafana Prometheus, Splunk, ELK, CloudWatch, etc.) Experience mentoring junior developers Exposure to database concepts (RDBMS, NoSQL) and web-based technologies (Angular/React) is a plus ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Job Description As a Senior Engineer for Networking Control services, you will spearhead the development of innovative services in the Networking Automation & Health domain. This initiative involves building a robust software stack from the ground up to monitor and manage network infrastructure, automatically resolve network issues, and ensure high bandwidth with low latency connections essential for LLM workloads. Our team is developing a cutting-edge software stack to monitor and manage network infrastructure. This system will automatically resolve network issues and ensure high-bandwidth, low-latency connections that are essential for large language model (LLM) workloads. We are seeking a Principal Software Engineer with strong expertise in distributed systems, microservices, high volume data processing and operational excellence. The ideal candidate should possess a strong sense of ownership. Career Level - IC3 Responsibilities Senior Member of Technical Staff - Network Control Services The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges. We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications. Who are we looking for? We are looking for engineers with distributed systems experience. You should have experience with the design of major features and launching them into production. You’ve operated high-scale services and understand how to make them more resilient. You work on most projects and tasks independently. You have experience working with services that require data to travel long distances, but have to abide by compliance and regulations. The ideal candidate will own the software design and development for major components of Oracle’s Cloud Infrastructure. You should be both a rock-solid coder and a distributed systems generalist, able to dive deep into any part of the stack and low-level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. What are the biggest challenges for the team? The team is building a brand new service.The dynamic and fast growth of the business is driving us to build brand new innovative technologies. We understand that software is living and needs investment. The challenge is making the right tradeoffs, communicating those decisions effectively, and crisp execution. We need engineers who can build services that can reliably protect our customer cloud environment. We need engineers who can figure out how we can keep up our solution in a fast pace to securely protect our customers. We need engineers who can build services that enable us to offer even more options to customers and contribute to the overall growth of Oracle Cloud. Required Qualifications BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience 3+ years of total experience in software development Demonstrated ability to write great code using Java, GoLang, C#, or similar OO languages Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Experience working in an operational environment with mission-critical tier-one livesite servicing Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Preferred Qualifications Hands-on experience developing and maintaining services on a public cloud platform (e.g., AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Experience with Kafka, Apache Spark and other big data technologies About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Asset Management Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions. Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. SDLC and Runtime (SDLCR) focuses on delivering engineer-first, scalable platforms for job scheduling, Compute-as-a-Service, file transfer, firmwide software distribution and software development. This includes the CI/CD ecosystems, based around the GitLab and proprietary platforms. Software Development Life Cycle (SDLC) is a suite of products that provides end-to-end build and deploy tooling for Engineers in the firm. It provides a modern, secure and highly available plant that facilitates source control, code review, build, test and production activation. The primary customer base for the SDLCR tools are Engineers within Goldman Sachs. Key customers are the Global Banking & Markets as well as the Asset & Wealth Management and the Platform Solutions group. Part of the Goldman Sachs’ Core Engineering group's function is to provide best in class language support and tooling for our engineering community to facilitate the building, testing and deployment of their products. We strive for our tooling to improve product quality, developer productivity and increase opportunities for collaboration. Our aim is to innovate and drive technology solutions that will impact the bottom line for the firm. By joining us, you will be part of a diverse global technical team focusing on solving critical business problems. You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiled quickly, tested comprehensively, and distributed widely. You will deliver CI/CD solutions that sup port cloud native development and contribute to our efforts to move the firm to a cloud-based mobile SDLC. Workflow Software Engineer Our team is responsible for managing and maintaining the organization’s strategic software repository, which serves as a comprehensive inventory of all software built or utilized by the firm. This includes ensuring data integrity and providing useful integrations into other SDLC and tech risk systems to manage the lifecycle of our software. Additionally, we oversee the development, enhancement, and maintenance of peer review tooling used throughout the firm. These include; Static analysis and linting results Regression testing Compliance checks Automated Trading Controls (ATC) Our responsibilities include creating new features, ensuring the tools meet the needs of our development teams, and providing ongoing support to ensure smooth operation and integration with other systems. Our mission is to ensure that our engineers have all the information they need to make high quality changes to production code, regardless what software stack or toolchain they use. What Will You Do Work with engineers and stakeholders worldwide to understand pain points and inefficiencies in our workflow tooling and processes Streamline and automate compliance and quality gates Standardize differences in user experience across different front end applications High impact: Every change to our systems is felt by thousands of engineers worldwide Skills We Are Looking For 3-4 years experience in Java Strong software engineering fundamentals Experience in building high-availability apps and services Familiarity with designing and supporting front end web apps (React / Typescript preferable) Experience writing software in a high-integrity software environment desirable Experience in producing and maintaining SDLC tooling desirable No banking experience necessary About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Your Impact Work with a global team of highly motivated platform engineers and software developers building integrated architectures for secure, scalable infrastructure services serving a diverse set of use cases. Partner with colleagues from across technology and risk to ensure an outstanding Billing / Custody platform is delivered. Help to provide frictionless integration with the firm’s runtime, deployment and SDLC technologies. Collaborate on feature design and problem solving. Help to ensure reliability, define, measure, and meet service level objectives. Manage integration, testing, release, and demise of software products supporting Wealth Management (WM) back-office functions. Engage in quality control and production troubleshooting. Help to communicate and promote best practices for software engineering across the WM tech stack. Basic Qualifications A strong grounding in software engineering concepts and implementation of architecture design patterns. A good understanding of multiple aspects of software development in microservices architecture, full stack development experience, Identity / access management and technology risk. Sound SDLC and practices and tooling experience - version control, CI/CD and configuration management tools. Ability to communicate technical concepts effectively, both written and orally, as well as interpersonal skills required to collaborate effectively with colleagues across diverse technology teams. Experience meeting demands for high availability and scalable system requirements. Ability to reason about performance, security, and process interactions in complex distributed systems. Ability to understand and effectively debug both new and existing software. Experience with metrics and monitoring tooling, including the ability to use metrics to rationally derive system health and availability information. Experience in auditing and supporting software based on sound SRE principles. Preferred Qualifications Ability to report on trends, perform gap analysis, perform risk analysis and provide recommendations to continuously improve the environment. Experience using and/or supporting Java based frameworks. Experience with deploying software to containerized environments - Kubernetes/Docker. Scripting skills using Python, Shell or bash. Experience with Terraform or similar infrastructure-as-code platforms. Experience building services using public cloud providers such as AWS, Azure or GCP. Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity. Show more Show less

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. About Franchise Data Engineering Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing the platform, processes and governance, for enabling the availability of clean, organized and impactful data to scale, streamline and empower our core businesses. Franchise Data Engineering is a team within the Global Banking & Markets (GBM) division responsible for building data pipelines and curating data specifically for GBM CFO and Capital Management teams. Franchise Data Engineering team design, build and re-engineer scalable and resilient data solutions that propel the Global Banking & Markets Division’s efforts around PnL analytics and Capital optimization which is leveraged by Division Heads and Executive Office. Team engages with stakeholders across all business lines of GBM to understand the data, workflows and analyze processes that are critical for driving strategic commercial outcomes and then develop/iterate on the deployment of high-quality data solutions that empower those efforts. Our engineers collaborate closely with businesses to ensure their data needs are met and we react quickly to new demands by rapidly evolving our solutions. How You Will Fulfill Your Role The Analyst/Associate Role (1-4 years of experience) involves dynamically collaborating across business and engineering teams, translating business problems into detailed data specifications and then designing, building and deploying scalable relational data models which would serve as the source for business user's/consumer's analytical use cases. The role requires end-to-end skills in data engineering, ETL, data modeling, distributed databases, math/logic and a good grasp SDLC best practices along with Data Governance aspect. In the course of building this data solution, the engineer will benefit from and be required to learn financial data engineering as it is performed at a top tier financial firm. Skills & Experience We Are Looking For Academic Qualifications: A Bachelors or Masters degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) 1-4 years of relevant work experience in a global team-oriented environment Strong object-oriented design and hands on experience in one of programming languages (such as Java, Python, C++) using Object Oriented design techniques and best practices. Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes In-depth knowledge of relational and columnar SQL databases, including database design Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL modeling, milestoning, indexing, partitioning) Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts and gather business requirements Independent thinker, willing to engage, challenge or learn Ability to stay commercially focused and to always push for quantifiable commercial impact Strong work ethic, a sense of ownership and urgency Strong analytical and problem solving skills Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner Preferred Qualifications Industry Experience in Data engineering. Exposure to cloud databases (such as Snowflake, Single Store). Exposure to cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform). Experience with programming for extract transform load (ETL) operations and data analysis. Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

This role is for one of Weekday's clients Salary range: Rs 1200000 - Rs 1500000 (ie INR 12-15 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time Requirements About the Role We're looking for a highly skilled and motivated AI Engineer to join our growing team of machine learning practitioners, data scientists, and engineers. This role is ideal for someone passionate about building cutting-edge AI solutions using modern deep learning and NLP frameworks. You will work on a wide range of problems—from training and fine-tuning large language models to deploying intelligent systems at scale—while collaborating across product, data, and engineering teams. As an AI Engineer, you will be at the core of our AI initiatives, applying your knowledge in Python, PyTorch, TensorFlow, Scikit-Learn, and other key libraries to build, optimize, and deploy high-performing models. You will also be instrumental in adopting MLOps best practices to ensure that our models are scalable, maintainable, and reproducible. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world AI applications with a focus on natural language processing (NLP). Leverage libraries like PyTorch, TensorFlow, and Scikit-learn to build and train custom ML/DL models. Use Hugging Face Transformers, spaCy, and other NLP libraries to fine-tune and integrate state-of-the-art models for tasks like classification, summarization, entity recognition, and question answering. Implement MLOps practices such as experiment tracking, model versioning, CI/CD pipelines, and automated deployment. Collaborate with data engineers and analysts to preprocess and clean large datasets using Pandas and NumPy. Build and maintain reusable code and model components to streamline development and promote best practices. Evaluate model performance using rigorous metrics and troubleshoot issues related to bias, overfitting, or latency. Stay updated with the latest research, tools, and trends in AI, especially in the rapidly evolving NLP domain. Work cross-functionally with product, engineering, and business teams to define AI use cases and deliver high-impact solutions. Required Skills & Qualifications 4+ years of hands-on experience as an AI/ML Engineer or similar role. Strong programming skills in Python, with deep understanding of data structures, algorithms, and OOP principles. Expertise in PyTorch and/or TensorFlow for building and deploying deep learning models. Proficiency with Scikit-Learn, Pandas, NumPy, and other core Python libraries used in ML pipelines. Solid understanding and practical experience in natural language processing (NLP) using tools such as HuggingFace, spaCy, or similar. Familiarity with MLOps workflows, including model deployment, version control, and monitoring. Experience working with cloud environments or containerization tools is a plus (e.g., Docker, Kubernetes, AWS, GCP). Strong problem-solving, analytical, and communication skills. Preferred Qualifications Master's or Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field. Experience working on production-level NLP applications. Contributions to open-source ML libraries or participation in ML research Show more Show less

Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. FICC Portfolio Analytics Tech team is responsible for the Lightning 2 platform, which is the primary intraday real time risk/pnl platform for the traders in FICC division. Lightning 2 is highly available, resilient distributed computing platform, built on akka actor framework. It uses platforms like RabbitMQ, Kafka, MongoDB, Elastic Search etc. FICC Portfolio Analytics tech team in BGL is responsible for the core platform, by building new feature that are required by the business. This requires talking to the other teams globally to understand their requirements and coming up with design and implementation of the features. The team also responsible for maintaining the platform and works with the core engineering teams to keep the platform up to date on the technologies. Requirements Minimum 3 years of experience in software development A solid understanding of object orientated programming skills (Java or any other OO technology) including data structures and algorithms Sound SDLC practices and ability to debug and troubleshoot problems Energetic, self-directed, and self-motivated Experience collaborating in global teams and possesses strong interpersonal skills Familiarity with automated testing, DevOps and Continuous Deployment Strong communication skills Preferred Qualifications Familiarity with Git, awareness of CI/CD and other modern SDLC practice Experience in NoSQL data stores, e.g. Cassandra or MongoDB Experience in modern message oriented middleware, e.g. Kafka or RabbitMQ Experience in building and debugging distributed systems Experience in developing software for Akka or Vertx Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity. Show more Show less

Job Description WHAT WE DO At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Want to push the limit of digital possibilities? Start here. YOUR IMPACT Skills We are looking for a professional with technical and quantitative skills to join the Emerging Markets (EM) Strat team to develop and deliver the trading platform and product for the CEEMEA markets. As a product specialist within the EM Strat team, your role will encompass: Development, implementation and ownership of technical solutions to enable the EM product and platform business Detailed data analysis, design and implementation of data structures in close collaboration with Sales & Trading Full engagement with the product development lifecycle, partnering with colleagues across Engineering, Operations, Legal & Compliance, as well as external clients, brokers and counterparties, to design and deliver solutions for the EM Trading Desk and its clients OUR IMPACT Global Markets (Public) Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help our clients buy and sell financial products on exchanges around the world. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a very motivated trading floor. Team Description The team is responsible for managing the product, platform and quantitative analytics for Emerging Markets Sales & Trading. Activities include product and platform strategy, market strategy and data-driven problem solving. How You Will Fulfill Your Potential As a Delta1 Emerging Market Trading Strat, you will play an integral role in the business. You will work very closely with Sales & Trading and liaise with different stakeholders to add a quantitative & solution-driven dimension to all trading products and activities. We run a flat structure, you will be exposed to the business from various angles and you will be given lots of responsibility and ownership from day one and be expected to effectively collaborate with multiple teams. Responsibilities And Qualifications SKILLS & EXPERIENCE WE'RE LOOKING FOR Quantitative background in engineering, applied mathematics, physics, or other relevant field Preferable to have coding and software design skills (Python, Javascript) Broad knowledge of data structures and data reporting Good understanding of securities business and equities in particular Excellent problem solving, analytical, functional and technical skills Ability to manage multiple stakeholders across different teams & levels, demonstrating initiative and impact Ability to own a deliverable across a project lifecycle through to execution Ability to prioritise multiple demands and identify key risk areas which require input and oversight Strong interpersonal and communication skills and ability to interact with global stakeholders (internal and external) and management effectively Ability to work in a team-based environment, and adapt to a dynamic and changing organization About Goldman Sachs At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is building a future-ready AI base Cloud Service. We are developing next-generation, AI-powered solutions focused on transforming surveillance and authentication systems. Our work is at the forefront of revolutionizing security by moving away from traditional password-based authentication in favor of cutting-edge biometric and AI-driven technologies. You will play a key role in designing and implementing solutions that enable real-time, intelligent analysis of surveillance camera feeds, enhancing security systems with advanced features like facial recognition, behavior analysis. This is an exciting opportunity to contribute to a rapidly evolving field, where your innovations will drive the future of authentication and surveillance technologies, improving security on a global scale. Qualifications: Master’s degree or equivalent experience (preferred) in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, Operations Research, or a related field. 6+ years for Master's, or demonstrated experience in designing, implementing, and deploying machine learning models in production. Practical experience designing and deploying distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java). Experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Knowledge of machine learning techniques, statistical models, and performance tuning. Expertise in Java, Python, C++ . Strong understanding of data structures, algorithms, and problem-solving skills Career Level - IC2 Responsibilities Design, develop, and implement AI and machine learning models for real-time surveillance analysis, such as facial recognition, object detection, and behavior analysis. Develop and optimize biometric authentication systems using techniques like facial recognition, voice recognition, or fingerprint scanning. Manage and optimize Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models, ensuring seamless deployment, high availability, and efficient resource utilization for real-time surveillance and authentication solutions. Continuously monitor and improve the performance of AI models, focusing on accuracy, speed, and efficiency of real-time analysis. Optimize algorithms for lower latency, better scalability, and robust performance in varying conditions. Stay up-to-date with the latest advancements in AI, machine learning, biometric technologies, and surveillance systems. Proactively research new technologies, methodologies, and tools that can be integrated to improve the capabilities of the solution. Maintain thorough documentation of AI models, system architectures, and processes for future development and regulatory compliance. Provide regular updates on project progress, challenges, and results to management and stakeholders. Troubleshoot and provide technical support for deployed systems, helping to resolve any performance or integration issues quickly. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description What we do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Want to push the limit of digital possibilities? Start here. Client Onboarding Engineering is the key group which is focused on various key activities involving onboarding of clients of Goldman Sachs faster and better. We are committed to deliver projects involving process workflow for KYC Due Diligence (AML), Regulatory & Product Due Diligence, entity case assessment, Client outreaches, client account opening services and Client Lifecycle Management platform. Engineering, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. We use both open-source industry standard and internal proprietary technologies to build strategic platforms for onboarding clients through proactive management of the f2b onboarding process. This also involves projects requiring document and data digitization through various NLP techniques where the developer works in close partnership with R&D team involving new machine learning methodologies, setting the stage for STP and full automation of the various workflows and processes. Team members have the opportunity daily, to work with various global stakeholders (Compliance, Business, Client Implementation, Quality Assurance, Firmwide Ref Data Engineering) to onboard new clients with a focus on efficiency, control, and excellent client service that in mandated per se AML Enhanced Due Diligence (EDD) Policy and select EDD Procedures within Financial Crime Compliance (FCC). We are looking for a strong engineer who can work at the forefront of technology innovation and drive our goal forward. We need strong , self driven & motivated individuals who would develop and extend our service oriented platform to provide flexible features and functionalities to various Operations working group in Goldman Sachs and also deliver key client onboarding flows as well as an enriched client experience. Our technology stack consists of Java, Spring, React, BPMNs, RESTful web services, Elastic Search, Kubernetes, Mongo and DB2 database, industry tools integration API’s. A willingness to learn new languages, technologies and the business will be the key to your success in this role. How You Will Fulfill Your Potential 1+ years of experience in Software development in a fast paced environment with a successful track record of delivering quality code Great problem solving skills, desire to solve problems that have no text book solution Strong analytical and problem solving skills along with exceptional communication skills to operate in a fast-paced Agile/Scrum setup with global/remote team. Ability to design scalable, reliable, maintainable solutions with very excellent user experience Strong verbal and written communications skills and an ability to work in a team environment Experience with implementing unit tests, integration tests, Test Driven Development. Ability to work independently and as part of a team with skills to adapt to a variety of technologies Obsession with quality, operational excellence and user experience Proficient at working with large and complex code bases and comfortable with agile operating models A wide variety of projects are active and we have a long pipeline of proposed business solutions Participate in the design, development, testing and documentation of our COB platform Evolve the client onboarding platform to meet business, client, regulatory, operational, technical needs Participate in the entire SDLC from definition of requirements through deployment and production resiliency. Work closely with Business, Operations users and other developers globally Excellent opportunity to gain strong domain knowledge on aspects of the firms’ client onboarding functions across all divisional groups Skills And Experience We Are Looking For Bachelor’s degree in Computer Science (or equivalent work experience) Minimum of 1 years of professional development experience Exceptional machine learning programming skills and proficient in DNN, NLP, Transformer architecture, Tensorflow, Pytorch, LLM, scikit-learn Demonstrable core Java (JDK 8 and above) development experience (solid understanding of Core Java concepts and design patterns) Experience with building and maintaining a micro-service based distributed architecture Proven object oriented design and implementation skills Technologies: Java, Spring, Web Services, Web API (RestFul), Python. Solid understanding of relational databases like Db2, Sybase etc. Strong technical, analytical and communication skills; must be a self-starter Preferred Qualifications Experience with Kubernetes deployment architectures Experience in distributed systems (Kafka) About Goldman Sachs At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Engineering, which is comprised of our Technology Division and global strategists’ groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Asset and Wealth Management (AWM) About Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors, spanning traditional and alternative markets offering products and services Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goal Real Estate Engineering team is responsible for designing and building applications to scale the real estate business. The team is focused on building the end-to-end infrastructure to launch new retail funds by increased focus on automation, control and scalability which covers product setup applications, workflow management tools, databases, data access layers, applications for asset and portfolio management and various reporting tools. The team covers Real Estate Equity and Real Estate Credit businesses and makes sure that firmwide Regulatory and Fed reporting standards are met to ensure data integrity and effective risk management. Our Impact A career with Goldman Sachs is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world’s leading asset managers with over $2 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As a primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals. Our products include Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fixed Income, Stable Value, Fundamental Equity and a Global Portfolio Solutions Business. AMD Technology is directly aligned to the business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment. AMD Technology builds on top of cutting-edge in-house platforms complimented with a strong focus on leveraging open source solutions. Roles And Responsibilities Be a major contributor to the build out of the ETF platform, including taking projects from beginning to end, from analysis, design, implementation, and go-live Work with portfolio manager, traders, and operations to understand requirements for new ETF products, as well as to identify opportunities for efficiency improvements Support product launches and ongoing ETF operations Basic Qualifications 6+ years of experience as a Software Engineer A degree in Computer Science or related field Experience with back-end service development in Java Experience with front-end UI development with JavaScript and a major framework Experience successfully collaborating directly with stakeholders to understand the product space, identify solutions, and finally deliver software products Knowledge of asset management, particularly Equities, Fixed Income and ETFs is a big plus Comfort with multi-tasking, a fast-paced environment, and managing multiple stakeholders Experience working as part of a global team Excellent written and spoken communication About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers . We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is building a future-ready AI base Cloud Service. We are developing next-generation, AI-powered solutions focused on transforming surveillance and authentication systems. Our work is at the forefront of revolutionizing security by moving away from traditional password-based authentication in favor of cutting-edge biometric and AI-driven technologies. You will play a key role in designing and implementing solutions that enable real-time, intelligent analysis of surveillance camera feeds, enhancing security systems with advanced features like facial recognition, behavior analysis. This is an exciting opportunity to contribute to a rapidly evolving field, where your innovations will drive the future of authentication and surveillance technologies, improving security on a global scale. Qualifications: Master’s degree or equivalent experience (preferred) in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, Operations Research, or a related field. 6+ years for Master's, or demonstrated experience in designing, implementing, and deploying machine learning models in production. Practical experience designing and deploying distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java). Experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Knowledge of machine learning techniques, statistical models, and performance tuning. Expertise in Java, Python, C++ . Strong understanding of data structures, algorithms, and problem-solving skills Career Level - IC2 Responsibilities Design, develop, and implement AI and machine learning models for real-time surveillance analysis, such as facial recognition, object detection, and behavior analysis. Develop and optimize biometric authentication systems using techniques like facial recognition, voice recognition, or fingerprint scanning. Manage and optimize Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models, ensuring seamless deployment, high availability, and efficient resource utilization for real-time surveillance and authentication solutions. Continuously monitor and improve the performance of AI models, focusing on accuracy, speed, and efficiency of real-time analysis. Optimize algorithms for lower latency, better scalability, and robust performance in varying conditions. Stay up-to-date with the latest advancements in AI, machine learning, biometric technologies, and surveillance systems. Proactively research new technologies, methodologies, and tools that can be integrated to improve the capabilities of the solution. Maintain thorough documentation of AI models, system architectures, and processes for future development and regulatory compliance. Provide regular updates on project progress, challenges, and results to management and stakeholders. Troubleshoot and provide technical support for deployed systems, helping to resolve any performance or integration issues quickly. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description What We Do At Goldman Sachs, our engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build scalable software and systems, create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Asset and Wealth Management (AWM) About Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors, spanning traditional and alternative markets offering products and services Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goal Who We Look For We are looking for talented and energetic java developers to help design and implement the new end-to end systems for the real estate fund business. The role also provides an opportunity to participate in all phases of a project life cycle and work with extremely bright and motivated individuals, who focus on java development and strive for continuous process improvement. In specific the candidate will Participate in design, build out, and maintenance of a distributed, multi-region, scalable, resilient, and firmwide compute and other infrastructure provisioning and inventory systems. Participate in design and implementation of consolidating multiple infrastructure inventory systems integral to the backbone of the firm’s infrastructure platform Collaborate with platform infrastructure providers to successfully on-board them onto our central inventory platform and uplift their provisioning systems. Interact with other engineering teams to understand technology offerings and how they can be applied and leveraged as part of our solutions. Basic Qualifications Bachelor’s degree or relevant work experience in computer science, mathematics, electrical engineering or related technical discipline. 3+ years of software development experience. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. Expert knowledge in one or more of Programming in a complied language such as java, or c++ or an interpreted language such as python and experience with concurrency and memory management. Responsive web development, with professional react/angular/redux experience and advanced javascript proficiency. Nosql databases such as mongodb and elastic search. Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.S. or M.S. computer science or related field. Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity. Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is building a future-ready AI base Cloud Service. We are developing next-generation, AI-powered solutions focused on transforming surveillance and authentication systems. Our work is at the forefront of revolutionizing security by moving away from traditional password-based authentication in favor of cutting-edge biometric and AI-driven technologies. You will play a key role in designing and implementing solutions that enable real-time, intelligent analysis of surveillance camera feeds, enhancing security systems with advanced features like facial recognition, behavior analysis. This is an exciting opportunity to contribute to a rapidly evolving field, where your innovations will drive the future of authentication and surveillance technologies, improving security on a global scale. Qualifications: Master’s degree or equivalent experience (preferred) in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, Operations Research, or a related field. 6+ years for Master's, or demonstrated experience in designing, implementing, and deploying machine learning models in production. Practical experience designing and deploying distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java). Experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Knowledge of machine learning techniques, statistical models, and performance tuning. Expertise in Java, Python, C++ . Strong understanding of data structures, algorithms, and problem-solving skills Career Level - IC2 Responsibilities Design, develop, and implement AI and machine learning models for real-time surveillance analysis, such as facial recognition, object detection, and behavior analysis. Develop and optimize biometric authentication systems using techniques like facial recognition, voice recognition, or fingerprint scanning. Manage and optimize Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models, ensuring seamless deployment, high availability, and efficient resource utilization for real-time surveillance and authentication solutions. Continuously monitor and improve the performance of AI models, focusing on accuracy, speed, and efficiency of real-time analysis. Optimize algorithms for lower latency, better scalability, and robust performance in varying conditions. Stay up-to-date with the latest advancements in AI, machine learning, biometric technologies, and surveillance systems. Proactively research new technologies, methodologies, and tools that can be integrated to improve the capabilities of the solution. Maintain thorough documentation of AI models, system architectures, and processes for future development and regulatory compliance. Provide regular updates on project progress, challenges, and results to management and stakeholders. Troubleshoot and provide technical support for deployed systems, helping to resolve any performance or integration issues quickly. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Location: Delhi Type: Full-Time Experience Level: Senior / Expert Start Date: Immediate About Brainwave Science: Brainwave Science is a leader in cognitive technologies, specializing in solutions for the security and intelligence sectors. Our flagship product, iCognative™ , leverages real-time cognitive response analysis using Artificial Intelligence and Machine Learning techniques to redefine the future of investigations, defense, counterterrorism, and counterintelligence operations. Beyond security, Brainwave Science is at the forefront of healthcare innovation, applying our cutting-edge technology to identifying diseases, various neurological conditions, and mental health challenges in advance and identification of stress and anxiety in real time and providing non-medical, science-backed interventions. Together, we are shaping a future where advanced technology strengthens security, promotes wellness, and creates a healthier, safer world for individuals and communities worldwide. About the Role We are seeking an experienced and forward-thinking AI/ML Engineer – LLM & Deep Learning Expert to design, develop, and deploy Large Language Models (LLMs) and intelligent AI systems. You will work on cutting-edge projects at the intersection of natural language processing , edge AI , and biosignal intelligence , helping drive innovation across defense, security, and healthcare use cases. This role is ideal for someone who thrives in experimental environments, understands private and local LLM deployments, and is passionate about solving real-world challenges using advanced AI. Responsibilities Design, train, fine-tune, and deploy Large Language Models using frameworks like PyTorch , TensorFlow , or Hugging Face Transformers Integrate LLMs for local/edge deployment using tools like Ollama , LangChain , LM Studio , or llama.cpp Build NLP applications for intelligent automation , investigative analytics , and biometric interpretation Optimize models for low-latency , token efficiency , and on-device performance Work on prompt engineering , embedding tuning , and vector search integration (FAISS, Qdrant, Weaviate) Collaborate with technical and research teams to deliver scalable AI-driven features Stay current with developments in open-source and closed-source LLM ecosystems (e.g., Meta, OpenAI, Mistral) Must-Have Requirements B.Tech/M.Tech in Computer Science (CSE) , Electronics & Communication (ECE) , or Electrical & Electronics (EEE) from IIT, NIT, or BITS Minimum 3 - 4 years of hands-on experience in AI/ML, deep learning , and LLM development Deep experience with Transformer models (e.g., GPT, LLaMA, Mistral, Falcon, Claude) Hands-on with tools like LangChain , Hugging Face , Ollama , Docker , or Kubernetes Proficiency in Python , and strong knowledge of Linux environments Strong understanding of NLP , attention mechanisms , and model fine-tuning Preferred Qualifications Experience with biosignals , especially EEG or time-series data Experience deploying custom-trained LLMs on proprietary datasets Familiarity with RAG pipelines and multi-modal models (e.g., CLIP, LLaVA) Knowledge of cloud platforms (AWS, GCP, Azure) for scalable model training and serving Published research, patents, or open-source contributions in AI/ML communities Excellent communication, analytical, and problem-solving skills What We Offer Competitive compensation based on experience Flexible working hours and remote-friendly culture Access to high-performance compute infrastructure Opportunities to work on groundbreaking AI projects in healthcare, security, and defense Show more Show less

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: Strengthening and maintaining Tower's security referential infrastructure to address trading and back-office needs Taking end-to-end ownership: development, testing, release and support Being a subject matter expert, functionally and technically, to deliver security referential data needs for Tower's global trading footprint Interacting with trading teams and users to handle issue Qualifications: The ideal candidate will have:Brilliant problem-solving abilities Solid background in data structures and algorithms Programming expertise in one or more of the following languages - C++, Rust, Python Good breadth of knowledge in widely used industry technologies, including Python, Bash and databases Clear understanding of computer architecture fundamentals Ability to manage multiple tasks in a fast-paced environment Understanding of Relational databases is a plus Benefits: Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is building a future-ready AI base Cloud Service. We are developing next-generation, AI-powered solutions focused on transforming surveillance and authentication systems. Our work is at the forefront of revolutionizing security by moving away from traditional password-based authentication in favor of cutting-edge biometric and AI-driven technologies. You will play a key role in designing and implementing solutions that enable real-time, intelligent analysis of surveillance camera feeds, enhancing security systems with advanced features like facial recognition, behavior analysis. This is an exciting opportunity to contribute to a rapidly evolving field, where your innovations will drive the future of authentication and surveillance technologies, improving security on a global scale. Qualifications: Master’s degree or equivalent experience (preferred) in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, Operations Research, or a related field. 6+ years for Master's, or demonstrated experience in designing, implementing, and deploying machine learning models in production. Practical experience designing and deploying distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java). Experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Knowledge of machine learning techniques, statistical models, and performance tuning. Expertise in Java, Python, C++ . Strong understanding of data structures, algorithms, and problem-solving skills Career Level - IC2 Responsibilities Design, develop, and implement AI and machine learning models for real-time surveillance analysis, such as facial recognition, object detection, and behavior analysis. Develop and optimize biometric authentication systems using techniques like facial recognition, voice recognition, or fingerprint scanning. Manage and optimize Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models, ensuring seamless deployment, high availability, and efficient resource utilization for real-time surveillance and authentication solutions. Continuously monitor and improve the performance of AI models, focusing on accuracy, speed, and efficiency of real-time analysis. Optimize algorithms for lower latency, better scalability, and robust performance in varying conditions. Stay up-to-date with the latest advancements in AI, machine learning, biometric technologies, and surveillance systems. Proactively research new technologies, methodologies, and tools that can be integrated to improve the capabilities of the solution. Maintain thorough documentation of AI models, system architectures, and processes for future development and regulatory compliance. Provide regular updates on project progress, challenges, and results to management and stakeholders. Troubleshoot and provide technical support for deployed systems, helping to resolve any performance or integration issues quickly. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less