2877 Distribution System Jobs - Page 18

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 100,000 customers from Fortune 500 enterprises to small businesses across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the Role: As a Software Engineer, you will be a part of a team who can turn product ideas into reality by designing components and services for new feature developments. You will implement scalable architecture and work with an enthusiastic team contributing to robust projects that will be critical for Fleet Safety such as server solutions that interface with best in class Dashcams, tracking critical driving events, and tools for both Safety managers and drivers. What Youll Do: Collaborate with a cross functional team to design and document scalable solutions Ability to write secure, maintainable code that powers the platform that connects the world s trucks Launch and support features that will be used by trucking industry and its partnersLead code reviews and help to guide software architecture decisions Resource for the product team to determine technical feasibility of features. What Were Looking For: 7+ years of software development experience A degree in computer science, software engineering, or a related field An affinity for creating software that is extensible, performant, and easy to read Strong programming skills in one or more of these languages: Ruby (Rails), GoLang, Java, Python, or NodeJS Solid understanding of relational databases preferably Postgres or MySQL Experience with scaling, troubleshooting, migrations and security of distributed systems Experience with NoSQL databases, AWS, micro services, SOAExperience with CI/CD and version control (preferably Git)

About the Role As a Senior Full stack engineer, youll work across the stack and be responsible for the entire customer journey from where we store data to our server application logic, to our front end UI. You ll work closely with our other engineers to build and ship key features. We are detail oriented and value clean, modular, and high-performing code. Youll help architect and build our internal standards and frameworks. We love engineering-wide consistency in code and have huge ambitions on both client and server side. Duties and Responsibilities: Collaborate with other engineers and designers to develop and ship features Design, build, and maintain our API s Write efficient, modular, and reusable libraries and abstractions Design and build internal tooling to improve development efficiency Find and solve performance issues Participate in code reviews Communicate best practices to the team Mentor junior engineers Qualifications and Skills: 8+ years of full time engineering experience Expert in Javascript Full stack engineering experience in Javascript, Python/Django, or Ruby/Rails Expert in SQL, database design, and familiarity with PostgreSQL Experience with front and back end architectural patterns of large, high-scale web applications Ability to design clean APIs and understanding of performance issues Experienced with software engineering best practices design patterns, code reviews, unit and integration testing, etc. Ability to communicate technical specifications both verbal and written Command over front-end web technologies such as HTML, CSS, React Solid CS fundamentals including data structures and algorithms Understanding of security, common attacks and defenses Knowledge of build systems configurations and setup - such as Webpack Experience with infrastructure, distributed systems, and deploying apps into a high-scale environment #LI-Hybrid #LI-DG1

Experience Required: 8+Years Mode of work: Remote Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture,Azure Data Factory, Pyspark, Python, SQL, Spark Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within September 15th 2025) Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights. Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. Provide technical guidance and expertise to junior data engineers and developers. Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering. Contribute to the continuous improvement of data engineering processes, tools, and best practices. Bachelor s or master s degree in computer science, engineering, or a related field. 10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solution

Your Title: Staff AI / ML Operations - Senior Engineer Job Location: Chennai Our Department: [CMS] Are you a seasoned technical leader ready to define the strategic direction of enterprise AI/ML infrastructure and shape the future of MLOps across our organization What You Will Do This role offers the opportunity to drive transformational AI/ML initiatives at the highest technical level within our organization. As a Principal Engineer, you will be responsible for setting technical vision, architecting next-generation ML platforms, and establishing industry-leading practices that scale across multiple business units. This position requires exceptional technical depth, proven leadership experience, and the ability to influence strategic decisions while solving the most complex challenges in production AI/ML systems. Strategic Leadership & Architecture: Define and execute the long-term technical strategy for enterprise AI/ML infrastructure, establishing architectural principles and technology roadmaps that align with business objectives Lead the design and implementation of next-generation ML platforms capable of supporting thousands of models across diverse use cases and business units Drive cross-organizational initiatives to standardize MLOps practices, establishing centers of excellence and governance frameworks Architect solutions for emerging AI technologies including large language models, multi-modal AI systems, and federated learning environments Advanced Technical Implementation: Design and implement cutting-edge MLOps solutions including automated hyperparameter optimization, neural architecture search, and advanced model optimization techniques Lead the development of sophisticated ML infrastructure supporting real-time inference at scale, including edge computing deployments and distributed serving architectures Establish advanced observability and reliability frameworks including custom ML metrics, automated anomaly detection, and intelligent auto-remediation systems Drive innovation in ML security, implementing zero-trust architectures, model privacy preservation, and advanced threat detection for AI systems Leadership & Influence: Provide technical leadership and mentorship to senior engineers and cross-functional teams, fostering a culture of technical excellence and continuous learning Collaborate with executive leadership, product management, and business stakeholders to translate strategic business goals into technical initiatives Represent the organization at industry conferences, contribute to open-source projects, and establish external partnerships with technology vendors and research institutions Lead technical decision-making processes, conduct architecture reviews, and establish engineering standards across multiple teams What Skills & Experience You Should Bring Required: Advanced degree (Masters/PhD) in Computer Science, Engineering, Machine Learning, or related technical field, or equivalent professional experience with exceptional technical depth 8+ years of experience in ML Operations, Site Reliability Engineering, or related fields with 3+ years in senior technical leadership roles Proven track record of architecting and implementing large-scale ML infrastructure serving millions of predictions with high availability and performance requirements Expert-level programming skills in multiple languages (Python, Go, Rust, Java, C++) with deep understanding of distributed systems and performance optimization Extensive experience leading enterprise cloud transformations across multiple platforms (AWS, Azure, GCP) including advanced AI/ML services and cost optimization strategies Deep expertise in ML model lifecycle management at scale, including sophisticated A/B testing frameworks, multi-armed bandit algorithms, and automated experimentation platforms Proven experience with advanced infrastructure technologies including service mesh architectures, event-driven systems, and serverless ML computing Preferred: Experience with cutting-edge ML technologies including transformer architectures, foundation model deployment, and prompt engineering infrastructure Expertise in advanced data engineering including real-time streaming architectures, data mesh implementations, and privacy-preserving analytics Knowledge of ML compliance and governance frameworks including model interpretability, bias detection, and regulatory compliance (GDPR, CCPA, industry-specific regulations) Experience with quantum computing applications, neuromorphic computing, or other emerging AI hardware architectures Track record of successful technology vendor relationships, including build vs. buy decisions and enterprise software negotiations Published research, patents, or significant open-source contributions in ML infrastructure or related fields Experience leading geographically distributed teams and managing complex multi-year technical initiatives Leadership Qualifications: Demonstrated ability to influence technical strategy at the executive level and drive organizational change Proven experience mentoring and developing senior technical talent, including Principal and Staff-level engineers Track record of successful cross-functional collaboration with product, business, and executive stakeholders Experience establishing technical communities of practice and knowledge sharing programs As a Principal Engineer, you will have the opportunity to: Shape the technical direction of AI/ML capabilities across the entire organization Lead strategic technology initiatives with multimillion-dollar impact Build and mentor high-performing engineering teams Establish industry partnerships and represent the company at major conferences Contribute to open-source projects and publish cutting-edge research

Your Title: Staff AI / ML Operations - Senior Engineer Job Location: Chennai Our Department: [CMS] Are you a seasoned technical leader ready to define the strategic direction of enterprise AI/ML infrastructure and shape the future of MLOps across our organization What You Will Do This role offers the opportunity to drive transformational AI/ML initiatives at the highest technical level within our organization. As a Principal Engineer, you will be responsible for setting technical vision, architecting next-generation ML platforms, and establishing industry-leading practices that scale across multiple business units. This position requires exceptional technical depth, proven leadership experience, and the ability to influence strategic decisions while solving the most complex challenges in production AI/ML systems. Strategic Leadership & Architecture: Define and execute the long-term technical strategy for enterprise AI/ML infrastructure, establishing architectural principles and technology roadmaps that align with business objectives Lead the design and implementation of next-generation ML platforms capable of supporting thousands of models across diverse use cases and business units Drive cross-organizational initiatives to standardize MLOps practices, establishing centers of excellence and governance frameworks Architect solutions for emerging AI technologies including large language models, multi-modal AI systems, and federated learning environments Advanced Technical Implementation: Design and implement cutting-edge MLOps solutions including automated hyperparameter optimization, neural architecture search, and advanced model optimization techniques Lead the development of sophisticated ML infrastructure supporting real-time inference at scale, including edge computing deployments and distributed serving architectures Establish advanced observability and reliability frameworks including custom ML metrics, automated anomaly detection, and intelligent auto-remediation systems Drive innovation in ML security, implementing zero-trust architectures, model privacy preservation, and advanced threat detection for AI systems Leadership & Influence: Provide technical leadership and mentorship to senior engineers and cross-functional teams, fostering a culture of technical excellence and continuous learning Collaborate with executive leadership, product management, and business stakeholders to translate strategic business goals into technical initiatives Represent the organization at industry conferences, contribute to open-source projects, and establish external partnerships with technology vendors and research institutions Lead technical decision-making processes, conduct architecture reviews, and establish engineering standards across multiple teams What Skills & Experience You Should Bring Required: Advanced degree (Masters/PhD) in Computer Science, Engineering, Machine Learning, or related technical field, or equivalent professional experience with exceptional technical depth 8+ years of experience in ML Operations, Site Reliability Engineering, or related fields with 3+ years in senior technical leadership roles Proven track record of architecting and implementing large-scale ML infrastructure serving millions of predictions with high availability and performance requirements Expert-level programming skills in multiple languages (Python, Go, Rust, Java, C++) with deep understanding of distributed systems and performance optimization Extensive experience leading enterprise cloud transformations across multiple platforms (AWS, Azure, GCP) including advanced AI/ML services and cost optimization strategies Deep expertise in ML model lifecycle management at scale, including sophisticated A/B testing frameworks, multi-armed bandit algorithms, and automated experimentation platforms Proven experience with advanced infrastructure technologies including service mesh architectures, event-driven systems, and serverless ML computing Preferred: Experience with cutting-edge ML technologies including transformer architectures, foundation model deployment, and prompt engineering infrastructure Expertise in advanced data engineering including real-time streaming architectures, data mesh implementations, and privacy-preserving analytics Knowledge of ML compliance and governance frameworks including model interpretability, bias detection, and regulatory compliance (GDPR, CCPA, industry-specific regulations) Experience with quantum computing applications, neuromorphic computing, or other emerging AI hardware architectures Track record of successful technology vendor relationships, including build vs. buy decisions and enterprise software negotiations Published research, patents, or significant open-source contributions in ML infrastructure or related fields Experience leading geographically distributed teams and managing complex multi-year technical initiatives Leadership Qualifications: Demonstrated ability to influence technical strategy at the executive level and drive organizational change Proven experience mentoring and developing senior technical talent, including Principal and Staff-level engineers Track record of successful cross-functional collaboration with product, business, and executive stakeholders Experience establishing technical communities of practice and knowledge sharing programs About Your Location [Location detail - hybrid/remote options, office locations, travel requirements] About Our Division [Summary of CMS division focused on the scale and impact of AI/ML initiatives] Growth & Impact Opportunities As a Principal Engineer, you will have the opportunity to: Shape the technical direction of AI/ML capabilities across the entire organization Lead strategic technology initiatives with multimillion-dollar impact Build and mentor high-performing engineering teams Establish industry partnerships and represent the company at major conferences Contribute to open-source projects and publish cutting-edge research

As a member of the software engineering division, you will define, design, and lead the development of major software components . Provide technical leadership to other developers, set architectural direction, and deliver high-impact solutions. Anticipate future needs and build extensible systems to support them. We are a team that builds and maintains distributed services to manage OCI networks. Currently, we are looking for experienced engineers with deep expertise in automating, scaling, and managing large fleets of networking devices. These are exciting times, and our team is undergoing rapid growth while working on ambitious initiatives. At the IC4 level, engineers are expected to make strategic technical decisions, drive cross-team alignment, and have broad technical and business impact. Responsibilities As a Principal Member of Technical Staff (IC4) on the Network Fleet Management team, you will: Own the design and architecture of tooling and infrastructure to manage OCI s rapidly growing fleet of networking devices. Lead technical initiatives for onboarding new regions, capacity expansion, deployment tooling, patching, fleet monitoring, and automation. Drive end-to-end ownership of critical services, ensuring availability, security, and scalability. Provide technical leadership and mentorship to other engineers, reviewing designs and guiding best practices. Partner with multiple teams across OCI to deliver networking solutions that are best-in-class. Define and improve operational excellence, including runbooks, automation, and monitoring systems. Influence long-term strategy and roadmap for networking fleet management and related automation systems. Participate in on-call rotation and lead efforts to improve reliability and reduce operational load. Qualifications You are an expert in Linux, proficient with Python, Go, BASH, and Java, with strong networking and systems engineering experience. You value simplicity and scale, thrive in collaborative and agile environments, and are excited to lead others in building highly reliable systems. Basic Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or related technical fields. 8+ years of experience in software engineering or systems engineering. 5+ years of experience with Linux system engineering. 5+ years of experience with Python/BASH/Java/Go. Experience with infrastructure-as-code tools (Shepherd/Terraform) at scale. Strong DevOps and CI/CD experience, including build tools and pipelines (TeamCity, Maven, Make, etc.). Preferred Qualifications: Experience leading large-scale distributed systems or networking automation projects. Experience driving cross-team technical initiatives and influencing design decisions at org level. Prior cloud infrastructure experience. Hardware qualification experience (embedded development). Strong track record of improving reliability and reducing operational burden through automation.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Company Overview: Thermo Fisher Scientific Inc. is the global leader in science, with annual revenue of around $40 billion. Our goal is to help customers improve the worlds health, cleanliness, and safety. We assist in life sciences research, solve analytical problems, improve patient well-being, and produce life-changing treatments. With over 100,000 employees worldwide, we offer innovative technologies, convenient purchasing, and pharmaceutical services under world-class brands like Thermo Scientific, Fisher Scientific, Applied Biosystems, Unity Lab Services, and more. Position Summary: In the role of Staff Engineer within the Digital Commerce Platforms group, your contribution will be crucial in crafting the architecture and driving innovation for enterprise eCommerce platforms like Thermo Fisher Scientific. This role places a strong emphasis on leading technical initiatives, mentoring teams, and delivering scalable, impactful, and secure solutions to address evolving business requirements. Collaborating with cross-functional teams, you will implement impactful projects while maintaining a steadfast focus on customer experience and operational excellence. Key Responsibilities: Design and implement fault-tolerant, distributed systems and cloud-native solutions using Kubernetes, AWS (EC2, EKS, RDS), and other elastic platforms. Champion modern software development practices, including microservices, API design, and DevSecOps principles. Lead architecture and code reviews to maintain high-quality standards and improve the development lifecycle. Drive the implementation of critical enterprise initiatives, focusing on cloud cost optimization, risk management, and legacy system modernization. Spearhead AI and machine learning adoption to improve digital commerce capabilities, including anomaly detection and search optimizations. Collaborate with global teams to deliver high-impact features, ensuring alignment with organizational priorities and customer requirements. Mentor and guide senior software engineers and software engineer 3 team members, encouraging a culture of technical excellence and continuous learning. Experience and Skills: Technical Expertise: Experience: 10+ years of software development experience with 3+ years in a technical leadership role. Programming: Expertise in Java and strong proficiency in Python for backend development. Cloud: Proven experience deploying and managing applications on AWS and container orchestration platforms like Kubernetes. Architecture: Deep understanding of distributed systems, microservices, and secure software design principles. Problem Solving: Outstanding analytical skills to navigate ambiguity and deliver innovative, scalable solutions. Leadership and Collaboration: Strong background of leading cross-functional teams and delivering sophisticated projects on time. Ability to collaborate with various teams, present technical solutions, and build alignment across departments. Experience mentoring engineers, encouraging standard methodologies, and cultivating a strong team culture. Preferred Qualifications: Familiarity with eCommerce platforms and revenue optimization strategies. Experience with AI/ML tools, particularly generative AI solutions. SAFe Agile certification or experience working within a SAFe framework.

Ready to shape the future of healthcare AI Apply now and be a part of building the clinical agentic infrastructure for tomorrow. The OHAI Agent Engineering Team is pioneering the next generation of intelligent agent frameworks, delivering transformative solutions to elevate healthcare services and drive exceptional customer experiences. Our cutting-edge platform seamlessly integrates advanced automation, clinical intelligence, and user-centric design empowering healthcare providers to deliver proactive, personalized care and setting a new standard for operational excellence and patient delight. Join us as we shape the future of healthcare with innovation, passion, and impact. We are seeking a Senior Software Principal Engineer with deep expertise in healthcare technologies, Agentic AI frameworks, and modern data/AI infrastructure to join our Clinical AI team. This role is pivotal in shaping our next-generation Clinical Agentic AI Platform, enabling dynamic, context-aware care pathways for healthcare providers and patients. The ideal candidate will be an accomplished hands-on architect with a strong background in Python, exposure to Java, and demonstrated experience with Agentic AI, LangGraph, Vector DBs, OpenSearch, and LLM-based systems. In addition to strong system design skills, you must be capable of mentoring senior engineers, driving technical strategy, and ensuring delivery of scalable, secure, and high-performing AI services. Key Responsibilities: Architect and lead the development of clinical agent-based AI systems using LangGraph or similar frameworks. Collaborate with product and clinical informatics teams to design AI-driven care pathways and decision support systems. Define and evolve the technical roadmap , aligning with compliance, performance, and integration standards. Lead the implementation of LangGraph-based agents, integrating them with Vector Databases, OpenSearch, and other retrieval-augmented generation (RAG) pipelines. Design and guide data pipelines for LLM-based applications, ensuring real-time contextual understanding. Mentor and coach senior and mid-level engineers; foster a culture of technical excellence and innovation. Conduct design reviews, enforce code quality standards, and ensure scalable, maintainable solutions. Collaborate with platform teams on observability, deployment automation, and runtime performance optimization. Stay current with evolving AI trends, particularly in the LLMOps / Agentic AI space, and evaluate emerging tools and frameworks. Required Qualifications: 10+ years of hands-on software development experience; at least 3 years in an architect-level role. Proven experience building and scaling agent-based AI applications, ideally in clinical or healthcare contexts. Strong proficiency in Python (primary language); working knowledge of Java is a plus. Solid experience with LangGraph or similar agentic orchestration frameworks. Deep understanding of LLMs, prompt engineering, retrieval-augmented generation (RAG), and semantic search. Hands-on with Vector Databases (e.g., FAISS, Weaviate, Pinecone) and OpenSearch/ElasticSearch. Knowledge of healthcare standards (e.g., FHIR, HL7) and regulatory considerations (HIPAA, HITRUST) is highly desirable. Track record of designing large-scale, distributed systems with high availability and performance. Experience guiding cross-functional engineering teams through architecture, design, and code reviews. Preferred Qualifications: Experience building clinical decision support systems, EHR integrations, or AI-based triage tools. Familiarity with LangChain, Haystack, FastAPI, gRPC, and OCI or any other public cloud environments. Strong communication skills and the ability to translate complex technical topics for diverse stakeholders. Background in mentoring, growing engineering talent, and establishing design best practices Why Join Us Join a mission-driven team transforming healthcare through agentic AI and intelligent automation. Work on cutting-edge technology that directly impacts clinical workflows and patient outcomes. Collaborate with thought leaders in healthcare, AI, and software architecture. Competitive compensation, equity, and comprehensive benefits. Career Level - IC5 Responsibilities Interacts with product and service teams to identify questions and issues for core platform products. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. You will be responsible for defining and developing software for tasks associated with developing, designing, and debugging healthcare software applications on Cloud (OCI) platform Responsibilities Include: Work with Product and lead the product development. Deliver production-ready code quality and adhere to cloud-native design principles Collaborate with the Oracle Engineering communities Contribute to design, and security reviews, OHAI knowledge base. Be responsive and participate in complex troubleshooting Address the system availability and scalability related challenges Foresee dependencies, risks, and issues with designs and technical strategy, and react early to resolve Getting involved in anything that will help the organization thrive, whether a big project or small task Deliver scalable solutions adhering to infra, application, and data security

Were looking for a highly skilled experienced engineers to design and build high-scale, cloud-based data processing systems that can handle massive amounts of data with low latency. Youll work with a team of smart, motivated, and diverse people and be given the autonomy and support to do your best work. This is a rare opportunity to make a meaningful impact in society while working in a dynamic and flexible workplace where youll belong and be encouraged. Qualifications: Bachelors Degree required Significant experience with distributed systems. Experience with modern programming languages such as Java, C#, C/C++, or Ruby. Experience with container platforms such as DC/OS, Kubernetes Fluency in technologies and design concepts around Big Data processing and relational databases, such as the Hadoop ecosystem, Map/Reduce, stream processing, etc. Experience with production operations and good practices for putting quality code into production and troubleshooting issues when they arise. Effective communication of technical ideas verbally and in writing, including technical proposals, design specs, architecture diagrams, and presentations. Ability to collaborate effectively with the team and other stakeholders. Preferably, production experience with Cloud and data processing technologies. 10+ years of experience of relevant technologies Career Level - IC5 As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems. Design and build distributed, scalable, and fault-tolerant software systems. Build cloud services on top of the modern OCI infrastructure. Participate in the entire software lifecycle, from design to development, to quality assurance, and to production. Invest in the best engineering and operational practices upfront to ensure our software quality bar is high. Optimize data processing pipelines for orders of magnitude higher throughput and faster latencies. Leverage a plethora of internal tooling at OCI to develop, build, deploy, and troubleshoot software.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Company Overview: Thermo Fisher Scientific Inc. is the global leader in science, with annual revenue of around $40 billion. Our goal is to help customers improve the worlds health, cleanliness, and safety. We assist in life sciences research, solve analytical problems, improve patient well-being, and produce life-changing treatments. With over 100,000 employees worldwide, we offer innovative technologies, convenient purchasing, and pharmaceutical services under world-class brands like Thermo Scientific, Fisher Scientific, Applied Biosystems, Unity Lab Services, and more. Position Summary: In the role of Staff Engineer within the Digital Commerce Platforms group, your contribution will be crucial in crafting the architecture and driving innovation for enterprise eCommerce platforms like Thermo Fisher Scientific. This role places a strong emphasis on leading technical initiatives, mentoring teams, and delivering scalable, impactful, and secure solutions to address evolving business requirements. Collaborating with cross-functional teams, you will implement impactful projects while maintaining a steadfast focus on customer experience and operational excellence. Key Responsibilities: Design and implement fault-tolerant, distributed systems and cloud-native solutions using Kubernetes, AWS (EC2, EKS, RDS), and other elastic platforms. Champion modern software development practices, including microservices, API design, and DevSecOps principles. Lead architecture and code reviews to maintain high-quality standards and improve the development lifecycle. Drive the implementation of critical enterprise initiatives, focusing on cloud cost optimization, risk management, and legacy system modernization. Spearhead AI and machine learning adoption to improve digital commerce capabilities, including anomaly detection and search optimizations. Collaborate with global teams to deliver high-impact features, ensuring alignment with organizational priorities and customer requirements. Mentor and guide senior software engineers and software engineer 3 team members, encouraging a culture of technical excellence and continuous learning. Experience and Skills: Technical Expertise: Experience: 10+ years of software development experience with 3+ years in a technical leadership role. Programming: Expertise in Java and strong proficiency in Python for backend development. Cloud: Proven experience deploying and managing applications on AWS and container orchestration platforms like Kubernetes. Architecture: Deep understanding of distributed systems, microservices, and secure software design principles. Problem Solving: Outstanding analytical skills to navigate ambiguity and deliver innovative, scalable solutions. Leadership and Collaboration: Strong background of leading cross-functional teams and delivering sophisticated projects on time. Ability to collaborate with various teams, present technical solutions, and build alignment across departments. Experience mentoring engineers, encouraging standard methodologies, and cultivating a strong team culture. Preferred Qualifications: Familiarity with eCommerce platforms and revenue optimization strategies. Experience with AI/ML tools, particularly generative AI solutions. SAFe Agile certification or experience working within a SAFe framework.

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex s Global Loyalty and Benefits organization and lets lead the way together. Global Loyalty and Benefits Global Loyalty and Benefits powers the Membership Reward points, Amex Offers, Insurance, and Card benefits for 112+ million cards in 58+ markets worldwide. This Position is for Global Loyalty and Benefits Engineering Department. About the job We are looking for a Senior Software Engineer II to help in our transformation journey as we decommission legacy applications and move to our modern platform that is based on event driven architecture and employs cutting edge technologies such as Golang, Docker, Kafka and Postgres. This platform is highly scalable and capable of supporting up to 10,000 TPS. Key Responsibilities: Understand the Loyalty and Benefits domain and how it powers the AMEX experience for customers Learn and support our legacy applications and modern platforms to develop a deep understanding of all functional workflows. Work closely with product owners and/or other technology counterparts globally as needed to further our initiatives targeting business growth, cost savings, platform maintenance and platform modernization. Participate in agile development processes including sprint planning, stand-ups, demos and retrospectives Ability to come up with multiple architectural solutions, present pros and cons and influence stakeholders towards a technical solution Be actively involved in low level design, coding, code reviews and unit and E2E testing in. Assist with production deployment and ensure smooth CI/CD pipeline process. Co-ordinate delivery of the project across global teams. Manage risk through all stages of project life cycle. Be a role model for engineering excellence within the team driving adoption of CICD and DevOps practices. Take ownership and lead initiatives. This could also involve leading a small team. Minimum Qualifications : Bachelors degree in computer science, computer science engineering, or related experience required with at least 10 years of experience in software development Delivered complex projects where complexity is a function of domain knowledge required, technical implementation and stakeholders. Ability to independently work with product and business to gather requirements, architect and implement solutions. Experienced in leading a team of 6-12 people. Experience in software development in Go, container-based technologies (docker, Kubernetes), GIT, Jenkins, TDD/BDD, mocking frameworks, CICD gates on security, code coverage and code quality. Experience with distributed systems, micro services architecture (REST) and messaging services such as Kafka. Experience working with relational/NoSQL databases Experience working with Comcast Rulio or some type of rules engine. Ability to work in a team environment as well as independently Commitment to write clean maintainable code with good documentation practices

MongoDB s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. At the heart of this mission is Application Modernization: helping enterprises transform legacy, monolithic systems into modern, cloud-native, AI-powered applications. Organizations worldwide are burdened by outdated applications that lack scalability, resilience, and cloud compatibility. Our Application Modernization team leads customers through this transformation journey migrating from relational systems to MongoDB Atlas and accelerating the process with AI-driven code translation, refactoring, and database migration tools. We are looking for a Director of Engineering, Application Modernization to drive this transformation at scale. This is a rare opportunity to lead a global engineering organization at the forefront of modernization and Generative AI. This role can be based out of our Gurugram office, or remotely in India. What You ll Do Lead and Inspire: Drive multiple globally distributed engineering teams, fostering a culture of innovation, accountability, and growth Set Vision: Define and execute the engineering strategy for our modernization platform, aligning with business outcomes and pushing the frontier of AI-driven modernization Own the Platform: Take full ownership of the Application Modernization platform design, delivery, and operational excellence of customer-facing features Accelerate with AI: Champion the integration of AI-powered code translation, refactoring, and migration tooling, ensuring MongoDB becomes the easiest and smartest modernization path for enterprises Modernize Legacy Stacks: Lead the transformation of legacy relational and monolithic applications into modern, distributed, cloud-native architectures built on MongoDB Atlas Raise the Bar: Establish best practices in distributed systems design, database migrations, performance optimization, and operational excellence Database Expertise: Apply deep knowledge of relational (Oracle, SQL Server, Postgres, MySQL) and non-relational/document systems to help customers transition to a modern data stack Talent Builder: Hire, mentor, and grow world-class engineering leaders and ICs, ensuring career progression and strong technical vision Cross-Functional Influence: Partner with Product, Field Engineering, Data Science, Sales, and executives to align priorities and maximize customer impact Innovate and Experiment: Drive proof-of-concepts with emerging AI/ML technologies and strategic technology partnerships Be a Force Multiplier: Remove blockers, amplify team impact, and create an environment where engineers can do the best work of their careers The Ideal Candidate Will Have Distributed Systems Expertise: Proven track record of building and scaling large-scale, distributed systems with strong performance, resilience, and reliability requirements Database Depth: Hands-on expertise with relational and non-relational systems, with practical knowledge of schema design, database migrations, and performance tuning Enterprise Scale Leadership: 10+ years leading engineering teams (including leaders-of-leaders) across globally distributed locations AI Mindset: Experience (or strong passion) for building AI-powered applications and developer tools To drive the personal growth and business impact of our employees, we re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it s like to work at MongoDB , and help us make an impact on the world! MongoDB is an equal opportunities employer. Req ID: 425545

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About Thermo Fisher Scientific At Thermo Fisher Scientific, we enable our customers to make the world healthier, cleaner, and safer. With a distributed team of over 100,000 colleagues and annual revenues surpassing $40 billion, we offer innovative technologies, reliable services, and essential solutions that drive scientific progress and improve quality of life. Our work powers breakthroughs in life sciences research, supports diagnostics and patient care, and drives pharmaceutical development and production. Position Summary We are searching for an experienced and driven Senior Manager, Software Engineering to lead successful teams within our Digital Commerce Platforms group. In this role, you will provide technical leadership and operational direction for our enterprise eCommerce solutions. You ll play a pivotal role in driving architecture decisions, overseeing development cycles, and empowering teams to deliver scalable, secure, and customer-focused digital products. You will work together with various teams to establish strategies, achieve roadmap objectives, and advocate for standard methodologies in software development. Your ability to build and mentor strong technical teams while maintaining a hands-on approach will be critical to our success. What You ll Do Lead a team of skilled software engineers and architects to deliver high-quality, scalable software solutions in a fast-paced Agile/SAFe environment. Guide the team in developing robust Java-based applications using modern frameworks such as Spring Boot and microservices architecture. Mentor and coach team members, develop career, and champion a culture of continuous learning and innovation. Partner with product owners to translate business needs into technical strategies, roadmaps, and actionable development plans. Establish standards for design, development, testing, and documentation across the engineering team. Collaborate across business units to align on technical approaches, improve code reuse, and share established methods. Represent the team in multi-functional meetings, technical forums, and customer discussions. Drive performance management, resource planning, and recruitment strategies for a growing engineering team. Identify technical risks and create proactive strategies to mitigate them. Advocate for a customer-first approach while upholding engineering excellence and operational efficiency. What You Bring Bachelor s or Master s degree in Computer Science, Engineering, or a related technical discipline. 12+ years of experience in software engineering with at least 5 years leading high-impact development teams. Proven success delivering enterprise-grade applications in cloud or distributed systems environments. Deep expertise in Java, Spring Boot, and microservices architecture. Strong understanding of object-oriented design, data modeling, and relational databases (Oracle, SQL, etc.). Hands-on experience with Agile/SCRUM or SAFe development methodologies. A passion for coaching and mentoring engineers and fostering a culture of accountability and innovation. Excellent communication and interpersonal skills with the ability to collaborate effectively across teams and geographies. Strong problem-solving skills and a growth mindset ready to learn, adapt, and lead through change. Preferred Qualifications: Familiarity with eCommerce platforms and revenue optimization strategies. Experience with AI/ML tools, particularly generative AI solutions. Why Join Us Be part of a mission-driven company that impacts lives across the globe. Work on cutting-edge technologies in an inclusive, collaborative environment. Grow your career through leadership development and mentorship opportunities. Thrive in a company that supports work-life balance and continuous learning.

Job Title: Sr. Software Engineer Role Overview: We are looking for a highly skilled and motivated Software Engineer with 4+ years of experience in Python and Java development, as well as understanding of Continuous Integration and Continuous Deployment (CI/CD) practices. The candidate should have a good foundation in software engineering, a passion for building high-performance applications, and a commitment to writing maintainable, efficient code. As part of the team, you will contribute to the design and delivery of innovative solutions while collaborating with cross-functional teams About the Role: Design, develop, and maintain software applications using Python and Java. Write clean, efficient, and well-documented code in adherence to coding standards and best practices. Implement and optimize CI/CD pipelines to automate the build, testing, and deployment processes. Architect and implement solutions on AWS or Google Cloud Platform (GCP) with an emphasis on scalability, reliability, and performance. Collaborate with DevOps, QA, and Product teams to deliver software in an Agile environment. Conduct code reviews to ensure code quality, maintainability, and scalability. Troubleshoot and resolve complex technical issues in production and development environments. Assist in writing unit tests and perform integration testing to ensure the reliability of software. About You : 5+ years of professional experience in software development. Strong proficiency in Python and Java, with a good understanding of object-oriented programming principles and design patterns. Solid experience with CI/CD tools and workflows (e.g., Jenkins, GitLab CI, CircleCI, etc.). Experience with version control systems (primarily Git). Strong problem-solving skills and ability to debug complex issues. Solid understanding of RESTful APIs, microservices architecture, and distributed systems. Experience with relational and non-relational databases (SQL, NoSQL). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Good communication skills and the ability to work collaboratively in a team-oriented environment. Demonstrated ability to write high-quality, scalable, and maintainable code. Experience working with microservices architecture and related technologies. Familiarity with infrastructure as code tools (e.g., Terraform, CloudFormation). Knowledge of Agile software development methodologies.

We are looking for a Senior Backend and Infra Engineer that will work on a variety of exciting projects with responsibility for designing and delivering secure, distributed, scalable and fault tolerant services, end-user applications and APIs. In this role, you will have an opportunity to use your engineering expertise & leadership in the delivery of cloud-hosted (AWS) SaaS systems. You will work on complex, event driven services adhering to agile engineering practices and processes with a strong focus on automation. You should be motivated, organized, excited about technology and SaaS products, a thorough critical thinker, and relentless when it comes to code quality, scalability, latency, and platform stability. Our culture is motivational, constructive, and positive. We value teamwork, camaraderie, and collaboration. If youre up for a fun challenge, we want to hear from you! Responsibilities: Work with architects and other stakeholders on polishing requirements, suggest technical solutions, and provide feasible estimates Transfer requirements into implementation that is focused on efficiency and quality Be an owner of solutions implemented, actively support them from the proof of concept through production deployment Focus not only on development but on running software in production. Be proactive in defining monitoring/alerting specifications, enhancing observability and traceability of all production flows Provide mentorship to junior team members, become a center of competence on every part of the product you contribute to Participate in code reviews and other efforts to maximize quality of Engage products Qualifications: Bachelor's degree in Computer Science, Engineering or a related field or equivalent, is required 8+ years in an engineering software development role building backend services and APIs Proven track record in delivery of event-driven, highly available, scalable, resilient enterprise grade commercial cloud services. Proficiency in developing Java applications. Advanced knowledge of Java Core, Collections, Multithreading & J ava Memory Model, Garbage collection Deep understanding of micro services architecture paradigm, event driven system design, distributed systems, eventual consistency principles Experience developing REST services: REST manifesto, stateful/stateless services, load balancing strategies Strong RDBMS skills: writing advanced queries, designing table structure / indexes / triggers, query, optimization / query plan analys i s Experience with at least one public cloud platform, preferable with AWS Hands on experience in K8S: kubectl, K8S types, Helm Hands-on experience with Big Data technologies Familiarity with Cloud based CI/CD methodologies. Hands on experience deploying applications using Kubernetes Experience with at least one public cloud platform, preferable with AWS Experience working with Kafka or other messaging queues

You should have a minimum of 16 years of experience in C++ to apply for this position. As a C++ Solution Architect, your role would involve expertise in C++, a strong understanding of algorithms, data structures, and network communication. Your responsibilities would include building distributed, high-performance systems, leading software design, and overseeing implementation. You should have a proven track record of developing and architecting large-scale projects from scratch and providing mentorship to engineering teams. Strong analytical and problem-solving skills are essential for this role. Preferred qualifications include experience in telephony, VoIP, or real-time systems, as well as familiarity with cloud technologies. Key skills required for this position include C++, VOIP, SIP, PBX, Architectural Design, Distribution System, Telecom, Docker, Telecommunication Engineering, architects, Telephony, Python, and Kubernetes. This position is based in Chennai, and it requires you to work from the office. The interview process will be conducted in person at the Chennai office. Only candidates with relevant experience as mentioned above should apply for this role.,

AI Engineer Primary Responsibilities: Develop and improve the AI agentic frameworks that allow AI agents to work together to achieve complex tasks. Develop novel data collection, fine-tuning, and AI technologies that achieve optimal performance on specific tasks and domains. Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions Build scalable, reusable backend systems to support AI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. Hands-on programming experience with at least one modern language such as Python, Scala Experience contributing to the architecture and design of large-scale distributed systems and/or ML systems and tools Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Experience building AI Agents using Azure Copilot Studio or Mosaic AI Agent Framework Strong in Azure and Databricks AI/ML services with experience building AI applications Prior experience in developing AI/ML framework with Mosaic or open-source ML software is an advantage.

1. Conduct original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. 2. Build Proof of Concepts (POCs) with emerging AI innovations and assess their feasibility for production. 3. Design and experiment with multimodal generative models (text, images, audio, and other modalities). 4. Develop autonomous, agent-based AI systems (agentic AI) capable of adaptive decision-making. 5. Lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. 6. Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration. 7. Manage data preprocessing and feature engineering (cleaning, normalization, dimensionality reduction, feature selection). 8. Evaluate and validate models using industry-standard benchmarks; iterate to achieve target KPIs. 9. Provide technical leadership and mentorship to junior researchers and engineers. 10. Document research findings, model architectures, and experimental outcomes in technical reports and publications. 11. Stay updated with the latest advancements in NLP, DL, and generative AI, fostering a culture of innovation within the team. Mandatory Technical & Functional Skills Strong expertise in PyTorch or TensorFlow. Proficiency in deep learning architectures: CNN, RNN, LSTM, Transformers, and LLMs (BERT, GPT, etc.). Experience fine-tuning open-source LLMs (Hugging Face, LLaMA 3.1, BLOOM, Mistral AI, etc.). Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.). Familiarity with emerging AI frameworks & protocols (MCP, A2A, ACP, etc.). Deployment experience with cloud AI platforms: GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proven track record in building POCs for cutting-edge AI use cases. Desired Candidate Profile Preferred Technical & Functional Skills Experience with LangGraph, CrewAI, or Autogen for agent-based AI. Large-scale deployment of GenAI/ML projects with MLOps/LLMOps best practices. Experience handling scalable data pipelines (BigQuery, Synapse, etc.). Strong understanding of cloud computing architectures (Azure, AWS, GCP). Key Behavioral Attributes Strong ownership mindset: able to lead end-to-end project deliverables, not just tasks. Ability to align AI solutions with business objectives and data requirements. Excellent communication and collaboration skills for cross-functional projects. Drop Resume Here Allowed file types : .doc, .docx, .pdf. Maximum 2 files Year of Birth What is your current location? Can you relocate to Kochi? Total years of experience? Does your employer approve of notice period buyout option? GCP Vertex AI Azure AI Foundry or AWS SageMaker Reference link 1 + Add another link How did you come to know about BEO Softwares Pvt. Ltd.

Seeking a highly skilled technical architect to design and implement customized integration solution. Candidate must have expertise in Java & API integrations with a good understanding of distributed systems. Candidate should have knowledge of various AI frameworks. This role will require strong problem-solving skills, architectural design expertise, and hands-on coding abilities. Job Description Design and develop customized integration solutions for multiple applications Work closely with product owners, AI architects, and application developers to ensure seamless integration Build scalable, secure, and efficient components using Java and Python Define API standards and best practices for component integration Ensure robust monitoring, logging, and debugging capabilities for integrated solutions Collaborate with security teams to implement secure integrations and compliance standards Lead proof-of-concept (PoC) initiatives and evaluate new technologies for integration Document architecture, design decisions, and integration workflows Total Experience Expected: 10-14 years

Job Summary: We are seeking an accomplished Machine Learning Architect with 12 to 18 years of experience to lead the design and implementation of robust, scalable, and production-grade ML systems in the financial services domain . The ideal candidate will have deep expertise across the entire ML lifecycle — from data ingestion and modeling to deployment, serving, and operationalization — and a strong understanding of enterprise-level architecture and compliance considerations in the financial industry. As an ML Architect, you will work cross-functionally with engineering, data science, product, and compliance teams to design end-to-end machine learning platforms and pipelines that power intelligent financial applications, such as fraud detection, credit scoring, customer analytics, and risk management. Required Qualifications: 12 to 18 years of experience in software engineering, machine learning, or data platform architecture, with at least 5 years in architecting end-to-end ML solutions. Proven experience in the financial domain , working with use cases such as fraud detection, risk scoring, AML, churn prediction, or credit modeling. Deep knowledge of computer science fundamentals , including: Data structures and algorithms Distributed systems High-availability and low-latency system design Strong programming and architectural experience with Python , and at least one of Java/Scala/C++ . Expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps platforms (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience building and deploying RESTful APIs or microservices to serve ML models. Solid hands-on experience with data processing tools (e.g., Apache Spark, Kafka, Airflow) and cloud infrastructure (AWS/GCP/Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes ) for deploying scalable systems. Preferred Qualifications: Prior experience in ML architecture within financial institutions , fintech, or regulatory environments. Working knowledge of governance and compliance frameworks: model auditability, explainable AI (XAI), fairness and bias detection. Experience designing real-time inference and streaming-based ML systems . Understanding of feature stores , model registries , and data lineage in ML pipelines. Strong communication and leadership skills, capable of influencing C-level stakeholders and guiding engineering decisions across departments. Technical Skills • 12+ years of experience in IT and relevant Machine learning experience • Strong understanding of software engineering principles and fundamentals including data structures and algorithms. • Excellent understanding of object-oriented concepts and Python. • Strong knowledge of computer science fundamentals to develop a scalable system • Experience in NLP models like BERT, Transformer architectures, etc. • Experience in leveraging Computer Vision and OCR in document extraction use cases • Familiarity with ML problems (ex, Classification/Regression/Anomaly Detection) • Python ML Packages (Scikit/Numpy/Pandas/OpenCV) • Exposure to REST API/ Flask concepts • Experience in deep learning package, Pytorch, Tensorflow etc • Familiarity with Graph database like Neo4j will be a plus. Roles and Responsibilities Architect and design scalable ML systems that cover the entire lifecycle: Data acquisition and preprocessing Model training, validation, and optimization Model deployment and API serving Model monitoring, drift detection, retraining, and governance Build and maintain modular, reusable, and compliant ML platforms and services , ensuring scalability, reliability, and performance for production environments. Define architecture and best practices for: Model versioning and reproducibility Feature engineering and feature stores MLOps workflows (CI/CD pipelines, model registry, deployment automation) Collaborate with data engineers, ML engineers, software architects, and domain experts to align technical design with business goals and regulatory requirements. Ensure systems meet financial industry standards for data privacy, explainability, auditability , and regulatory compliance (e.g., model risk management frameworks). Mentor engineering and data science teams on architectural patterns, system design principles, and ML operationalization. Evaluate and integrate new technologies and tools in ML infrastructure and cloud platforms.

We are looking for who individuals who are driven to help in our transformation journey as we'decommission legacy applications and move to our modern platform that is based on event driven architecture and employs cutting edge technologies such as Golang, Docker, Kafka and Postgres. This platform is highly scalable and capable of supporting up to 10,000 TPS. Key Responsibilities: Understand the Loyalty and Benefits domain and how it powers the AMEX experience for customers Learn and support our legacy applications and modern platforms to develop a deep understanding of all functional workflows. Work closely with product owners and/or other technology counterparts globally as needed to further our initiatives targeting business growth, cost savings, platform maintenance and platform modernization. Participate in agile development processes including sprint planning, stand-ups, demos and retrospectives Be actively involved in coding, code reviews and unit and E2E testing. Assist with production deployment and ensure smooth CI/CD pipeline process. Co-ordinate delivery of the project across global teams. Manage risk through all stages of project life cycle. Be a role model for engineering excellence within the team driving adoption of CICD and DevOps practices. Take ownership on the initiatives you work. Minimum Qualifications : Bachelors degree in computer science, computer science engineering, or related experience required with 4-7 years of experience in software development Ability to independently work with product and business to gather requirements, architect and implement solutions. Experience in software development in Go, container-based technologies (docker, Kubernetes), GIT, Jenkins, TDD/BDD, mocking frameworks, CICD gates on security, code coverage and code quality. Experience with distributed systems, micro services architecture (REST) and messaging services such as Kafka. Experience working with relational/NoSQL databases Experience working with Comcast Rulio or some type of rules engine. Ability to work in a team environment as we'll as independently We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

We are looking for a Senior Software Engineer I to help in our transformation journey as we'decommission legacy applications and move to our modern platform that is based on event driven architecture and employs cutting edge technologies such as Golang, Docker, Kafka and Postgres. This platform is highly scalable and capable of supporting up to 10,000 TPS. Key Responsibilities: Understand the Loyalty and Benefits domain and how it powers the AMEX experience for customers Learn and support our legacy applications and modern platforms to develop a deep understanding of all functional workflows. Work closely with product owners and/or other technology counterparts globally as needed to further our initiatives targeting business growth, cost savings, platform maintenance and platform modernization. Participate in agile development processes including sprint planning, stand-ups, demos and retrospectives Ability to come up with multiple architectural solutions, present pros and cons and influence stakeholders towards a technical solution Be actively involved in low level design, coding, code reviews and unit and E2E testing in. Assist with production deployment and ensure smooth CI/CD pipeline process. Co-ordinate delivery of the project across global teams. Manage risk through all stages of project life cycle. Be a role model for engineering excellence within the team driving adoption of CICD and DevOps practices. Take ownership and lead initiatives. This could also involve leading a small team. Minimum Qualifications : Bachelors degree in computer science, computer science engineering, or related experience required with at least 8 years of experience in software development Delivered complex projects where complexity is a function of domain knowledge required, technical implementation and stakeholders. Ability to independently work with product and business to gather requirements, architect and implement solutions. Experienced in leading a team of 6-12 people. Experience in software development in Go, container-based technologies (docker, Kubernetes), GIT, Jenkins, TDD/BDD, mocking frameworks, CICD gates on security, code coverage and code quality. Experience with distributed systems, micro services architecture (REST) and messaging services such as Kafka. Experience working with relational/NoSQL databases Experience working with Comcast Rulio or some type of rules engine. Ability to work in a team environment as we'll as independently Commitment to write clean maintainable code with good documentation practices We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Build automation and tooling to support service provisioning, monitoring, security, and reliability Own systems related to compute orchestration (eg, Kubernetes), networking, and cloud infrastructure (AWS) Collaborate closely with product engineering, data, and security teams to ensure platform stability and performance Contribute to observability, logging, and alerting frameworks to proactively detect and resolve issues Drive best practices in infrastructure as code, CI/CD pipelines, and deployment automation 3+ years of experience in systems or infrastructure engineering (roles open across experience levels) Proficient in at least one programming language (eg, Go, Python, Java) Strong understanding of distributed systems, Linux, networking, and cloud-native technologies Hands-on experience with tools such as Docker, Kubernetes, Terraform, or Prometheus Experience building or operating production systems on AWS or similar public cloud platforms (Bonus) Exposure to platform security, cost optimization, or infrastructure reliability Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions

Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments. Optimize TensorFlow-based models for real-time inference and low-latency decision-making. Enhance agent decision-making abilities through RL, planning, and heuristic algorithms. Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar. Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT). Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus. Ensure AI safety, security, and ethical considerations in agent behavior. Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI. Stay up to date with AI trends, including autonomous agents, self-improving models, and multi-agent coordination Requirements Strong programming skills in Python, Go, Node.JS or Java. Experience with LLM-based agents (AutoGPT, BabyAGI, CrewAI, OpenAI Function Calling, etc). Hands-on experience with LLMs (GPT, LLaMA, Claude, Mistral, etc), diffusion model or GANs Hands-on experience with Reinforcement Learning (RL), Evolutionary Algorithms, or Graph Neural Networks. Strong experience with AI/ML framework such as TensorFlow, PyTorch or JAX. Knowledge of event-driven architectures and messaging systems (Kafka, Redis Streams, RabbitMQ). Proficiency in cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI). Experience with multi-agent coordination communication protocols. Familiarity with observability logging tools (Prometheus, OpenTelemetry, ELK). Strong understanding of distributed systems, networking, and security for AI agents. Experience working with OpenAI, Hugging face or Anthropic APIs. Knowledge of LLM fine-tuning techniques such as LoRA, QLoRA or RLHF Contributions to open-source AI agent projects. Background in game theory, planning algorithms, or decision trees. Familiarity with Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB). Familiarity with interface development with Angular/React/Javascript framework

Strong troubleshooting skills on patrol agent related issue with True Sight Operations management and BMC Helix Operations Management console. Deep knowledge in monitoring TSOM BHOM infrastructure architecture hands-on with infrastructure upgrades performance tuning activities. Collaborating closely with software and operations teams to improve end-to-end monitoring and alerting production services. They deliver lasting, preventative improvements that cross the development/operation team divides.They coordinate our response to service impacting incidents Routinely modifying configurations or systems in a way that produces lasting improvements from a one-time effort. Applying their expertise and experience to assist with architecting the next generation of services Assisting with support escalation in high impacting incidents, coordinating SMEs and vendors as required Representing CTO outwards to manage quality of service delivered. Requirements Experience in providing monitoring solutions on (Patrol, True sight, AppDynamics, Open source tools) to create best-of-breed production monitoring, incident detection and response solutions. Strong fundamentals in distributed systems and networking. Participation in regular follow-the-sun on call rotas to ensure adequate out of hours cover for the services we support Participate in the design and engineering of auto-healing solutions Good communication skills to collaborate with Global and regional stakeholders