1649 Data Processing Jobs - Page 26

WebEngage prides itself on delivering efficient, effective solutions across a wide range of industries. The key to our success largely depends on our Solutions Engineering teams stellar ability. we're currently searching for an experienced Solutions Engineer to join our ranks and continue our tradition of success. The role of a Senior Solutions Engineer is to interface with customers and identify their needs. You will need to work with various departments such as engineering/development, support, success and onboarding to work together in order to help achieve the business requirements of our customers through custom implementations to balance various aspects of the project, from safety to design. Additionally, a Senior Solutions Engineer researches advanced technology regarding best practices in the field and seeks to find cost-effective solutions. The main objective of this role is to architect solutions to achieve the custom business requirements of our customers. You also can be in the code and partner in developing more complex solutions with the team. We find that most of our technologists love this, as they do not like to get too far from the code. Responsibilities: Understand customer requirements and create an implementation strategy accordingly. Communicating with the enterprise customer s technical team to arrive at a solution or to communicate the solution in technical terms. Update and maintain existing back-end projects to ensure smooth operations. Integrate third-party services and APIs into projects, enabling seamless communication and data flow across platforms. Collaborate with front-end developers, back-end developers, CSMs, and external stakeholders to deliver complete solutions. Build reusable components for backend projects and evolve the team with scalable practices. Optimize applications for performance, scalability, and stability. Test and troubleshoot projects to ensure software security and stability. Write jobs to move data between customer ecosystems and WebEngage. Manage AWS-based deployments, ensuring scalability, monitoring, and optimization for performance under load. Write SQL scripts for data processing, transformations, and reporting. Provide technical guidance and support during implementation to ensure smooth delivery of solutions. Collaborate with product engineering teams to encapsulate recurring customer requirements into core product features. Develop, update, and maintain technical documentation for projects and processes. What Kind of Problems You Would Work On: Developing Custom Connectors :Build and maintain custom integrations between WebEngage and third-party vendor APIs. Customer-Centric Solutions :Collaborate with WebEngage customers to design and implement solutions using the platform s core APIs. Enhancing Core Product Features :Partner with product engineering teams to identify recurring customer needs and encapsulate them into scalable, reusable features. Life at WebEngage: We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our monthly & quarterly town hall meetings. A highly inclusive work culture that promotes a relaxed, creative and productive environment. Practice autonomy, open communication, growth opportunities,while maintaining a perfect work-life balance Perks & Benefits: Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentorship (Macbook for Engagers!) Get the best in class medical insurance (with Covid Care facilities), programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? With a focus on digitization, innovation, and analytics, the Enterprise Digital and Data Solutions (EDDS) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as we'll as long-term transformation of our business. A unique aspect of EDDS is the integration of diverse skills across all its remit. EDDS has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing and Digital Acquisition & Membership experiences as we'll as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value. Purpose of the Role: This role will report to the Director of Marketing Optimization Capabilities Analytics (MOCA) team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurugram, India. The candidate will be responsible for leading the efforts on data strategy for Media Mix Model (MOCA) working with product and data science teams to develop advanced analytical solutions to media measurement problems, and address needs around implementation and use by partner finance and data teams and for delivery of highly impactful analytics to optimize the performance of Media marketing channels through the application of insights from MOCA models Responsibilities: Working with Data Science to define different model structures and approaches to measuring media impact Partnering with MOCA Product teams to develop and maintain products for data aggregation, simulation and scenario planning Lead a team of 4 to collate data needed for MOCA models across multiple markets and BUs. Perform trend analysis & work with marketing partners to lay out business context for the models Work with an external data aggregator to automate data pipes for MOCA Lead the efforts on model documentation for MOCA model certification Minimum Qualifications: Advanced degree in a quantitative field (eg Finance, Engineering, Mathematics, Computer Science) Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL. Experience in large data processing and handling, understanding in data science is a plus. Ability to work in a dynamic, cross-functional environment, with strong attention to detail. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment. Preferred Qualifications: Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test. Understanding of Media Mix Models and experience with modeling 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 seeking a highly motivated and experienced SDE II - Backend and Data to join our growing platform engineering team. In this role, you will be a key contributor to building and scaling our data infrastructure, ensuring data quality, and enabling real-time analytics for our platform. You will work closely with other engineers and product managers to deliver impactful solutions that drive business growth. What we are looking for in our Backend and Data Engineer (SDE2): Develop and maintain scalable backend services and APIs for our applications powe'red by real time data base. Architect and implement data pipelines for ingestion, processing, and storage leveraging cloud services, preferably AWS. Set up, manage, and optimize Apache Pinot for real-time analytics, including schema design, indexing strategies, and query tuning. Design and implement data lake strategies for storing and accessing raw and processed data. Implement data quality and anomaly checks and monitoring across backend and data pipelines. Develop and maintain ETL processes, integrating them with backend services. Optimize data models and storage for performance and efficiency. Contribute to data infrastructure design, focusing on scalability and fault tolerance. Troubleshoot and resolve data-related issues in backend and pipelines. Stay current with backend and data engineering trends. Participate in code reviews and improve engineering practices. Contribute to automated testing and deployment processes. What we expect from you: 3-6 years of experience in backend development and data engineering. Strong understanding of data engineering concepts, including data architecture, pipeline design, data modeling, and data quality. Proficiency in SQL and experience with relational databases. Experience with Python and data processing libraries (eg, Pandas). Experience with real-time analytics platforms (eg, Apache Pinot/Druid) is highly desired. Experience with ETL tools and processes, including understanding of Fivetran or similar platforms. Experience with cloud platforms (eg, AWS, GCP, Azure) is a plus. Strong problem-solving and debugging skills. Excellent communication and collaboration skills. Bachelors degree in Computer Science or a related field. Bonus Points: Experience with streaming technologies (eg, Kafka, Flink). Experience setting up and managing open-source data tools (eg, Superset, Redash, Airflow) and working experience with such tools. Experience with monitoring and alerting tools (eg, Prometheus, Datadog). Contributions to open-source projects. What s in store for you at Uniqode A we'll-deserved compensation package that recognizes your skills and contributions to our team. Join our journey with an opportunity to share in the companys success through equity ownership. Get the opportunity to work with hand-picked individuals who are experts in their domain and passionate about the product. Contribute to a product that is rapidly growing and is the chosen platform of thousands of businesses across the globe. Experience the flexibility of working both in-office and remotely, optimizing your work-life balance. Secure your we'll-being with comprehensive health insurance coverage, ensuring you and your family peace of mind. Receive dedicated mental health support, fostering a nurturing workplace environment that values your emotional we'll-being.

As part of the Merchant Reporting & Insights team at PayPal, you will lead the development of mission-critical systems that ingest, orchestrate, and analyze massive volumes of data. These systems generate millions of high-volume reports, transforming complex fintech data into actionable business insights. you'll be responsible for ensuring timely delivery of reports aligned with merchant SLAs and business cadences. Meet our team The Merchant Reporting & Insights team is at the heart of PayPal s data-driven decision-making. We build scalable data platforms and reporting tools that empower merchants with real-time insights. you'll collaborate with cross-functional teams across engineering, product , customers to deliver impactful solutions that drive business outcomes. Your way to impact You will lead the design and development of scalable, enterprise-grade data solutions that power critical reporting for merchants globally. Your leadership will drive innovation in big data and real-time processing, ensuring high-throughput systems meet business needs. you'll foster a culture of technical excellence, collaboration, and continuous improvement. Your Day-to-Day: Provide technical leadership and guidance to teams of software engineers, fostering a culture of collaboration, innovation, and continuous improvement. Establish outcomes and key results (OKRs) and successfully deliver them. Drive improvements in key performance indicators (KPIs). Increase the productivity and velocity of delivery teams. Develop, plan, and execute engineering roadmaps that bring value and quality to our customers. Collaborate and coordinate across teams and functions to ensure technical, product, and business objectives are met. Instill end-to-end ownership of products, projects, features, modules, and services that you and your team deliver in all phases of the software development lifecycle. What do you need to bring: 10+ years of experience in the software industry, with 3+ years of professional experience leading software development teams. Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges. Experience building and developing engineering teams that exhibit strong ownership, user empathy, and engineering excellence. Proven track record of delivering high-quality systems and software in Big Data Technologies including Spark, Airflow, Hive, etc, with practical exposure to integrating machine learning workflows into data pipelines. Proven track record of delivering high-quality systems and software in Java/J2EE technologies and distributed systems, with experience deploying ML models into production at scale using REST APIs, streaming platforms, or batch inference. Excellent communication skills with the ability to collaborate effectively with cross-functional teams (including data scientists and ML engineers) and manage stakeholders expectations. Ability to coach and mentor talent to reach their full potential, including guiding teams in adopting MLOps best practices and understanding AI model lifecycle management. Experience in building large scale, high throughput, low latency systems, including real-time data processing systems that support personalization, anomaly detection, or predictive analytics. Strong understanding of software development methodologies, modern technology topics and frameworks, and developer operations best practices. Experience with ML platforms (eg, Kubeflow, MLflow) and familiarity with model monitoring, feature engineering, and data versioning tools is a plus. Provide leadership to others, particularly junior engineers who work on the same team or related product features. Proven experience delivering complex software projects and solutions effectively through Agile methodologies on a regular release cadence. Strong verbal and written communication skills. Strong customer focus, ownership, urgency and drive.

4+ years of experience in C++ development, specializing in high-performance, low-latency systems. Deep expertise in modern C++ (C++14/17/20), multithreading, and concurrency. Strong Qt development experience for building real-time, high-performance trading UIs. Experience building ultra-fast order execution engines, market data feeds, and real-time risk management tools. Strong understanding of networking protocols (TCP/IP, UDP, FIX) and interprocess communication (IPC, shared memory, message queues). Hands-on experience with latency optimization, performance tuning, and profiling tools (perf, Valgrind, gprof, etc). Proficiency in memory management, lock-free programming, and CPU cache optimization. A deep understanding of exchange connectivity, order matching engines, and algorithmic trading systems. A hacker mentality you love solving problems that seem impossible. What You Will Do: Architect, develop, and optimize ultra-low-latency C++ trading applications that handle millions of transactions per second. Build high-performance market data processing solutions with microsecond-level latencies. Develop real-time, intuitive, and high-speed trading interfaces using Qt. Work on exchange connectivity, FIX protocol integrations, and risk management systems. Profile and optimize code to achieve maximum throughput and minimal latency. Solve some of the hardest engineering problems in fintech alongside an elite team. Experiment with new technologies to stay ahead of the competition. Own your work end-to-end from concept to deployment, pushing the limits of what s possible. Must-Have Skills: 4+ years of experience in C++ development, specializing in high-performance, low-latency systems. Deep expertise in modern C++ (C++14/17/20), multithreading, and concurrency. Strong Qt development experience for building real-time, high-performance trading UIs. Experience building ultra-fast order execution engines, market data feeds, and real-time risk management tools. Strong understanding of networking protocols (TCP/IP, UDP, FIX) and interprocess communication (IPC, shared memory, message queues). Hands-on experience with latency optimization, performance tuning, and profiling tools (perf, Valgrind, gprof, etc). Nice-to-Have Skills: Experience in high-frequency trading (HFT), market-making, or ultra-low-latency environments. Knowledge of exchange matching algorithms, order routing strategies, and market microstructure. Contributions to open-source C++ and Qt projects or performance-critical software. Expertise in hardware acceleration (FPGA, SIMD, AVX, GPU computing). Familiarity with cloud-based trading infrastructure and hybrid on-prem/cloud systems. Why Join Us? Be part of a high-energy startup with massive growth potential. Work with visionary fintech leaders and top-tier engineers. Build industry-defining products that will shape the future of trading. A culture that values bold ideas, rapid execution, and relentless optimization. Competitive compensation and a real opportunity to lead and innovate.

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks. Key Responsibilities: Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications. Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access Process and prepare data to support RAG workflows, ensuring data quality and relevance. Integrate and manage various data types (eg, text, images) to enhance retrieval and generation capabilities. Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance. Ensure the scalability, reliability, and performance of data retrieval in production environments. Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge. What we're looking for: masters degree in Data Science or a related field is preferred. Approximately 8 years of experience in Data Science, MLOps, and Data Engineering Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing. Proficiency in Python Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems. Familiarity with processing multimodal data (eg, text, images) for retrieval and generation tasks. Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions. Proficiency in Azure AI, Databricks, and other relevant tools.

Tradelab Technologies Pvt Ltd is not for those seeking comfort we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits every day. If you thrive in high-stakes environments and have a deep passion for performance-driven backend systems, we want you. For more info, visit: https://tradelab.in/ What We Expect: You should already be exceptional at Golang. If you need hand-holding, this isn t the place for you. You thrive on challenges, not on perks or financial rewards. You measure success by your own growth, not external validation. Taking calculated risks excites you you're here to build, break, and learn. You don t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment. You understand the stakes milliseconds can make or break trades, and precision is everything. What You Will Do: Develop and optimize high-performance backend systems in Golang for trading platforms and financial services. Architect low-latency, high-throughput microservices that push the boundaries of speed and efficiency. Build event-driven, fault-tolerant systems that can handle massive real-time data streams. Own your work no babysitting, no micromanagement. Work alongside equally driven engineers who expect nothing less than brilliance. Learn faster than you ever thought possible. Must-Have Skills: Proven expertise in Golang (if you need to prove yourself, this isn t the role for you). Deep understanding of concurrency, memory management, and system design. Experience with Trading, market data processing, or low-latency systems. Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing. Hands-on with Docker, Kubernetes, and CI/CD pipelines. A portfolio of work that speaks louder than a resume. Nice-to-Have Skills: Past experience in fintech, trading systems, or algorithmic trading. Contributions to open-source Golang projects. A history of building something impactful from scratch. Understanding of FIX protocol, WebSockets, and streaming APIs. Why Join Us Work with a team that expects and delivers excellence. A culture where risk-taking is rewarded, and complacency is not. Limitless opportunities for growth if you can handle the pace. A place where learning is currency, and outperformance is the only metric that matters. The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech

A Frontend Architect is responsible for designing, developing, and maintaining scalable, high-performance user interfaces that meet business and user needs They establish technical standards, frameworks, and best practices for frontend development while leading teams to deliver innovative and user-friendly web and mobile applications Key Responsibilities: * Define and implement the architecture for web and mobile frontend applications * Select appropriate technologies, frameworks, and tools (eg, React, Angular, VueJS, Typescript) * Ensure frontend systems are scalable, maintainable, and adhere to best practices * Design efficient state management and component structures * Guide the frontend development team by providing technical direction and mentoring * Enforce coding standards, code reviews, and quality assurance practices * Act as the technical point of contact for all frontend-related concerns * Work closely with UX/UI designers to ensure designs are translated into functional user interfaces * Collaborate with backend teams to define APIs and integrate frontend with backend services * Engage with product owners and business stakeholders to align on technical requirements * Optimize frontend applications for speed, responsiveness, and accessibility * Ensure compatibility across a range of devices, browsers, and platforms * Implement and improve CI/CD pipelines to streamline deployments * Stay up to date with the latest frontend technologies and trends * Evaluate and adopt new frameworks, libraries, and tools to improve development efficiency * Drive the adoption of modern practices like Progressive Web Apps (PWAs), server-side rendering (SSR), and micro-frontend architecture Required Skills: * Proficiency in modern JavaScript frameworks (React, Angular, Vuejs) and related tools * Strong knowledge of HTML5, CSS3, and CSS preprocessors (SASS, LESS) * Expertise in TypeScript, Webpack, and Babel * Experience in designing and implementing state management solutions (Redux, MobX, or Context API) * Knowledge of testing frameworks (Jest, Mocha, Cypress) for unit and end-to-end testing * Familiarity with RESTful APIs, GraphQL, and WebSocket integration * Understanding of DevOps practices, including CI/CD pipelines, containerization (Docker), and deployment strategies Experience: * bachelors degree in computer science, Engineering, or a related field * 8+ years of experience in frontend development, with at least 2-3 years in a leadership role * Proven track record of delivering complex, high-traffic web applications

The R&D team at Cohesity is on a mission to help organizations manage and protect their data in smarter and more scalable ways. Our customer-obsessed engineers design innovative solutions that tackle the hardest technical challenges. As an Engineering Manager for our R&D organization, you will be a hands-on, innovative leader focused on inspiring and managing a high-performing team to drive key strategic initiatives, reporting to the Director of Engineering. We are a passionate team of innovators and builders committed to pushing the limits of distributed systems and enterprise data management. we're seeking leaders who are energized by deep technical challenges, building high-performing teams, and making a big impact through collaboration and technical excellence. HOW you'll SPEND YOUR TIME HERE Inspire, lead, and manage a team of world-class developers designing and developing innovative products for our on-prem and SaaS offerings. Drive end-to-end product development, from gathering requirements with stakeholders to building, testing, and deploying products. Accelerate high-quality software development through technical thought leadership and innovation. Mentor, lead, and grow future leaders within the team. Set clear goals, foster collaborative achievements, and ensure the success of Cohesity s most strategic initiatives. Example: You will use leadership and technical mentoring skills to grow a team of high-performing engineers in order to drive delivery of next-generation data management solutions within the next 12 months. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING BS/MS/Ph.D. in Computer Science or a related technical field. 10+ years of hands-on software engineering experience in planning, architecting, and delivering high-quality products. 5+ years of experience building, managing, or leading high-performing development teams. Proven track record in building highly scalable distributed systems. Strong knowledge of agile/scrum methodologies. Hands-on expertise in coding and design best practices. Domain expertise in distributed systems, storage, platform engineering, data management products, and data pipelines/ETL.

Develop ML models, platforms, and services for Adobe Express as a Machine Learning Engineer. About the Team The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What you'll Do Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. Basic Qualifications: PhD or masters or Bachelors or equivalent experience in Computer Science, ML, Applied Mathematics, Data Science, or a related technical field. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes.

As a DevX Tools-TaaS Engineer in the Productivity Engineering team you will be instrumental in building scalable and reliable platforms and tools using Git, Bitbucket, Python, Jenkins, Kubernetes and the latest technologies. Your primary focus will be on problem-solving in the domain of software delivery and release process automation, collaborating closely with our DevX team, developers and SDETs across the company. HOW you'll SPEND YOUR TIME HERE Design, develop, and maintain scalable web applications using modern full stack technologies. Collaborate with cross-functional teams to identify pain points and implement innovative solutions. Design, code, test, and deploy high-quality software solutions that would help increase the productivity of engineers. Utilize the latest and greatest technologies to drive continuous improvement in our automation processes. Troubleshoot and resolve issues related to tools and platforms promptly. Stay up-to-date with industry trends and emerging technologies to ensure our offerings remain cutting-edge. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). 4+ years proven experience in building scalable and reliable platforms and tools using Python (Django/Flask) or Golang. Strong Design, troubleshooting and problem-solving ability in back-end as we'll as font-end (ReactJs) Experience in working with different Databases like mongo, SQL or Neo4j Solid understanding of REST APIs, GraphQL, and asynchronous data handling. Practical experience with integrating AI/ML tools such as GitHub Copilot, CodiumAI or OpenAI. Monitor and maintain the health and usage of internal tooling platforms, proactively resolving issues. Familiarity with CI/CD tools like Jenkins and orchestration tools like Airflow Good to have knowledge of monitoring, logging and alerting solutions - the more the better. Familiarity with cloud platforms (eg, AWS, Azure, GCP) and containerization (eg, Docker, Kubernetes). Familiarity with infrastructure-as-code tools (eg, Terraform, Ansible). Excellent communication skills and the ability to collaborate effectively with cross-functional teams. A creative, independent, self-motivated person willing to learn new technologies

We are looking for a Data Engineer II, Analytics to join our growing team and help build scalable, high-performance data pipelines that enable meaningful business insights you'll work with modern data tools, collaborate with cross-functional teams, and contribute to building a robust data foundation that supports Eightfolds AI-driven analytics and reporting needs What You Will Learn To Do Design & Develop Pipelines: Build, maintain, and optimize reliable ETL/ELT pipelines to ingest, process, and transform large datasets from diverse sources using Databricks and Amazon Redshift Data Modeling & Architecture: Support the design and implementation of scalable data models and architectures to meet evolving analytics and business intelligence needs Data Quality & Integration: Ensure accuracy, consistency, and quality of integrated data from structured and unstructured sources across systems Performance Tuning: Optimize the performance of queries, pipelines, and databases to ensure high efficiency and reliability for analytics workloads Collaboration & Delivery: Partner with analytics engineers, data scientists, product managers, and business stakeholders to deliver high-quality data solutions that enable business insights and product innovations Documentation & Best Practices: Contribute to documentation, promote data engineering best practices, and ensure data governance, security, and compliance standards are upheld What We Need: Experience: 3-6 years of hands-on experience as a Data Engineer or in a similar data engineering role, ideally in analytics-focused environments Databricks: Practical experience building and managing pipelines and workflows using Databricks Amazon Redshift: Strong understanding of Amazon Redshift, including data modeling and query optimization Programming: Proficiency in SQL and working knowledge of Python or Scala for data processing tasks ETL/ELT Tools: Hands-on experience developing and maintaining ETL/ELT processes Big Data Tools (Good to Have): Familiarity with Apache Spark, Hadoop, Kafka, or other big data technologies is a plus Analytical & Problem-Solving Skills: Ability to troubleshoot data issues and optimize performance effectively Communication & Collaboration: Strong communication skills with a collaborative mindset in fast-paced environments

We seek to hire a Manager to lead our DataPath Engineering team. We are building massively distributed systems at web-scale. Would be leading teams that work on a wide range of exciting and difficult problems and crafting and building massively parallel and distributed systems and architecture. Expert and innovative leaders who are up for the challenge of leading, innovating, mentoring, and working towards outcomes. We look for exceptional minds who love to solve complex problems and deal with critical challenges. HOW you'll SPEND YOUR TIME HERE: As an engineering leader, you will encourage, lead, and develop a team of outstanding software engineers across geo s that are redefining how enterprise customers manage their data. This role requires an energetic, creative, and driven individual with excellent communication, organization, and technical skills to partner with various organizations. Contribute to our data platform, which serves as a foundational platform for various on-prem and aaS products at Cohesity. Responsible for the product end to end from working on product requirements with internal teams, to build, test and deploy for on-prem as we'll as cloud, BaaS/DMaaS support. Mentor, lead and grow leaders in the team. Work closely with various stakeholders within Cohesity like product management, program management, sales, QA, and support teams to deliver high-quality products and drive the product vision and roadmap. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING: BS/MS/Ph.D. in Computer Sciencee 10 years Experience in agile/scrum methodologies and knowledge of Storage domain or filesystem experience is a plus. Understand market dynamics to drive product direction and execution for the team.

We are looking for a highly skilled Lead Data Analyst with strong expertise in Data Warehousing & Analytics to join our team. The ideal candidate will have extensive experience in designing and managing data solutions, advanced SQL proficiency, and hands-on expertise in Python. Key Responsibilities: Design, develop, and maintain scalable data warehouse solutions. Write and optimize complex SQL queries for data extraction, transformation, and reporting. Develop and automate data pipelines using Python. Work with AWS cloud services for data storage, processing, and analytics. Collaborate with cross-functional teams to provide data-driven insights and solutions. Ensure data integrity, security, and performance optimization Qualifications 7- 9 years of experience in Data Warehousing & Analytics. Strong proficiency in writing complex SQL queries with deep understanding of query optimization, stored procedures, and indexing. Hands-on experience with Python for data processing and automation. Experience working with AWS cloud services. Ability to work independently and collaborate with teams across different time zones. Good to Have: Hands-on experience with reporting tools like Power BI or Tableau.

we're looking for a Performance & Ta lent Management Partner to support our global Talent Management strategy and programs. In this role, you'll work closely with the Senior Director of Talent Management and Organizational Development to design, implement, and optimize programs that enable career growth, leadership development, and performance excellence across Cohesity. Your contributions will allow our Talent Management Leader to operate at a more strategic level, ensuring that we continue to build a high-performing , engaged workforce. HOW you'll SPEND YOUR TIME HERE Support and Execute Talent Management Initiatives Partner with the Senior Director of Talent Management and Organizational Development to design and execute talent programs, including performance management, talent assessment, succession planning, career frameworks, and leadership development initiatives. Develop tools and resources to support managers and employees in navigating talent processes. Provide program management support to ensure high-quality execution of talent initiatives across the organization. Drive Performance Management Excellence Assist in managing the performance review process, including goal-setting , feedback loops, and calibration. Support the integration of always on listening and continuous feedback mechanisms into the employee experience. Collaborate with People Partners and leaders to ensure adoption and effectiveness of performance programs. Analyze Data and Provide Insights Collect, analyze, and interpret talent data to identify trends and recommend improvements. Create reports and dashboards to track key metrics related to talent development, succession planning, and performance. Leverage data-driven insights to refine and optimize talent programs. Optimize Talent Technology & Processes Partner with HR Tech and Business Application teams to enhance talent management tools and systems. Ensure seamless execution of talent processes within platforms like Workday or other talent systems. Identify opportunities to improve efficiency and effectiveness through technology enhancements. Enable Leaders & People Partners Serve as a key resource for People Partners and leaders by providing guidance and support on talent processes. Develop communication materials, toolkits, and training to enhance understanding and adoption of talent programs. Ensure alignment between talent management strategies and company-wide leadership and DEI initiatives. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING bachelors degree in Business , Human Resources, Industrial/Organizational Psychology, Organizational Development, or a related field 4+ years of experience in Talent Management, Organizational Development, HR, or a related field Strong project management skills with the ability to execute programs efficiently in a fast-paced environment Data-driven mindset with experience analyzing and interpreting talent metrics Experience working with talent management processes such as performance management, career frameworks, talent assessment and succession planning Ability to effectively partner with People Partners , leaders, and cross-functional stakeholders Excellent written and verbal communication skills, including the ability to distill complex information into clear, actionable insights Proficiency in talent management technology , particularly Workday, is a plus WHY JOIN US? This role provides an opportunity to make a significant impact on the employee experience at Cohesity by driving talent programs that empower people to grow and succeed. If you're passionate about talent development and want to be part of a dynamic, high-impact team, we'd love to hear from you

You will be responding to customer inquiries (voice or other digital communications) for an assigned product(s) within a Technical Support Engineer environment. Provide technical support to Veritas customers, partners, and field support staff with varying levels of support maintenance entitlements ie, entry level, through to premier level entitlements, with focus on diagnosing, troubleshooting, and debugging Veritas software and hardware, including cloud platforms. Position provides an opportunity to continuously develop technical skills through learning and supporting a platform that brings together availability, protection, and insights for our customers. Position requires a motivated, self-starter and self-learner with a customer-first attitude. HOW you'll SPEND YOUR TIME HERE Work with Veritas customers, partners, and field reps by answering technical questions, and providing solutions for Netbackup products, including cloud infrastructures. Resolve cases per productivity, performance and SLA standards and support goals. Research, document, and collaborate on cases as required. Author or update technical documents into Knowledge Management (KM) for inclusion into support knowledge base. Address multiple issues simultaneously, with a case for each issue raised. Establish close interactions with team members and other applicable stakeholders. Assess when it is necessary to engage with team members to enable timely case resolution. Participate in the Technical Support Engineer Process Community Meetings and Innovation Teams, to help improve areas that can have a positive impact to Customer Success. Participate in Product Previews for New Product Releases. Participate in projects and support the Enablement Functions, in addition to lab engagement/management, and UAT testing for various initiatives. Work effectively in a collaborative operating environment, partner with technical support team members. Mentor and assist other technical support engineers (TSEs) in the knowledge of product and processes. Participates in or conduct internal and external hiring interviews. Diagnose technically complex and/or politically sensitive case issues and engage senior team members to resolve. As a support champion, participate in internal projects partnering with internal teams, ie enablement/engineering etc to drive continuous process and product improvement. Develop course content, and TOI material to be delivered to TSEs. Take advancements from team members, work in collaboration to case resolution where applicable. Subject matter expert in one or more areas of product. Interface with Engineering for assistance and collaboration. Participate and/or lead calls with customers and 3rd party teams/vendors. Assess when it is necessary to engage or escalate to senior team members to resolve complex issues. Apply specialized knowledge, analytical practices, and procedures to analyze, diagnose and resolve issues in unique and often complex enterprise environments, on multiply platforms. Research on a wide array of technical subjects such as Operating Systems, Infrastructural Technologies, and Veritas Software Products to continually learn to stay informed of new product features, related applications, hardware, and technologies. Develop documentation for the Technical Support Knowledge Base to reduce troubleshooting time and drive faster issue resolution. Participate in online customer facing forums eg, VOX and internal forums/DLs. Participate in global projects, including identifying and driving product improvements through the appropriate stakeholders. Build in-depth relationships with multiple internal organizations including Product Management, Engineering, QA, Training, Release readiness. Engage and participate in customer visits/POCs. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Experience across multiple of the following core technologies, including desired secondary knowledge. Operating Systems: Linux (Red Hat), Microsoft Windows. System Administration: Server Hardware, Software, maintenance, and troubleshooting. Networking: TCP/IP, TLS, PKI, Firewalls, Routing, VLANs, Link Aggregation (802.3ad, balanced-alb), Authentication (LDAP, Active Directory), DNS, NFS, CIFS. Storage: LVM, RAID, DAS, SAN, NAS, Software-Defined Storage, SAS, Fibre Channel. Diagnostics: Log Analysis, Process Tracing, Debugging, Kernel Panic, Root Cause Analysis. Observability: Application Performance Management, reliability, availability, and serviceability. Infrastructure: Data Center Operations / Management. Veritas product offerings. Additional Knowledge: Working knowledge of the majority of the following. Enterprise Information Systems, Application Servers, and Hardware Infrastructure. Virtualization: VMware, Hyper-V, RHV, Nutanix, and Containers (Docker, Podman). Databases: Microsoft SQL Server / MySQL / PostgreSQL / MongoDB / SQLit / MariaDB Oracle Database IBM DB2 Microsoft Exchange / Microsoft 365 SAP/SAP HANA Informix Sybase Sharepoint Openstack/HBase Hadoop Storage: DAS/NAS/SAN: Switches, Zoning, HBA, SFP, WWN, WWPN, Troubleshooting Cloud: Object Storage (AWS, Azure, GCP) and on-premises disaster recovery solutions Network troubleshooting (ie, Tcpdump/WireShark). Basic familiarity with SaaS, PaaS, IaaS, and APIs. Clustering and High Availability systems. Experience with Shell, Perl, Python, Terraform, Ansible and C / C++ is beneficial.

Cohesity is on a mission to help organizations around the world find limitless value from their data. Our customer obsessed account executives are focused on building new businesses while expanding the value of Cohesity for existing customers. As part of the consulting services, you will be an individual contributor focused on delivering Cohesity s products & solutions globally , working under the Professional Services Organization. We are a passionate company with a desire to disrupt the way organizations think about data management , protection and security . We are looking to enhance our consulting team and are excited about bringing endless value to their customers through simplifying the world of data management. HOW you'll SPEND YOUR TIME HERE Deliver in-scope Consulting Services engagements for Netbackup/Flex appliances, including but not limited to deployments, upgrades, configurations, assessments, health checks, Catalog migrations. Interact with customers, partners, internal team and third-party vendors to understand and satisfy customer requirements. Develop and manage client relationships, ensuring ongoing client satisfaction and quality assurance on delivery of projects. Provide regular updates to technical delivery leaders and escalate out-of-scope requests or issues in a timely manner. Collaborate with other team members, program/project managers, and technical teams to deliver engagements and/or escalate/resolve issues. Meet or exceed performance metrics, such as timely completion of assignments, utilization, billable hours, and customer satisfaction. Acts as a technical trusted advisor to all Customers by successfully implementing and troubleshooting technical issues during engagements. Possess active listening skills to understanding the client s environment, maintain detailed documentation on client interactions and customer meetings, Troubleshoot, and collect evidence (logs), conduct research to find a solution, recreate the problem in a lab environment, provide a solution or engage appropriate resources to get the project/case moving towards resolution. Prioritize and multitask across assigned projects within agreed timelines. Maintain documentation. Create knowledge articles for any new findings and wherever possible. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Experience of working on NetBackup Appliances/Flex/ Access Appliance. Good technical Understanding of NetBackup and/or Data Protect Experience of working on Disaster Recovery situations. Experience on Storage Technologies - Tape Library/VTL and Disk Based Methodologies ( DataDomain , StoreOnce , MSDP etc ) Overall Unix/Linux/Windows system experience. Knowledge on Cloud Buckets, access permissions, tokens ( aws or Azure). Understanding of Network Data Management Protocol and KMS. Some scripting and development background (Perl, DOS batch scripting etc VBScript, Java/C++ a plus). Database administration experience a plus (Oracle or SQL preferred). Project management understanding Docker-container, Kubernetes knowledge. Basic knowledge of LDAP. Experience on working in a live production environment or datacenter with heterogeneous IT infrastructure. Bachelors Degree or equivalent. Minimum 5 years of relevant experience with Netbackup , solution implementation, troubleshooting, and root cause analysis. In-depth specialization with Netbackup

Key Responsibilities: Gather, clean, and analyze large data sets from various sources Develop dashboards and reports using tools like Power BI, Tableau, or Excel Identify trends, patterns, and actionable insights to support decision-making Work with cross-functional teams to define data requirements and deliver insights Prepare detailed reports and present findings to stakeholders Automate data processing and reporting pipelines where applicable

As a Senior Product Operation Program Manager at Cohesity, you will provide project management leadership while driving implementation of cross functional and critical initiatives. You will also advocate business transformation by defining project scope, alignment and delivery to achievements. You will efficiently drive cross-functional teams, while influencing and collaborating with management at all levels. HOW you'll SPEND YOUR TIME HERE: Drive planning and execution of high profile new product introduction programs to support Cohesity revenue growth Lead product improvement projects within the product management organization Help establish repeatable process and structure within the product operations team Lead multiple projects and teams while providing methodology leadership, ensuring the delivery of solutions to high impact business initiatives Optimally remove blockers and mitigate program risks while growing team efficiency and ensuring delivery Facilitate alignment through effective collaborators engagement and communication, identify program critical success factors, and drive mitigation of significant issues and risks Lead key project meetings with project collaborators to collect requirements, craft an appropriate solution, and present the complete project plan Act as a primary point of contact throughout the project implementation Generate and maintain documentation that supports the collection, management, and reporting of all project related information Develop, document and distribute contingency plans for critical events Provide regular updates and keep project collaborators advised throughout the project Identify potential project issues, in advance, and drive appropriate solutions we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING: BS degree in industrial, mechanical, electrical engineering or computer science MBA preferred 5+ Years experience leading software new product development programs 3+ years in product operations within a product management organization Strong ability to communicate written and with powerpoint Ability to drive work independently, identifying solutions, moving them to implementation Familiarity with product management processes and tools Develops, maintains, and strengthens partnerships with others inside and outside the project team who provide decision making, information, or support Validated experience in project management Ability to drive process and influence people Remarkable problem-solving skills Validated experience working with project management techniques and tools Outstanding interpersonal and analytical skills that include the ability to respond to changing needs and shifting priorities while minimizing project impact Strong presentation and leadership skills Excellent verbal and written communication skills Project and Program Management Certifications (PMP) optional Proficiency with Asana and Jira. Drive Successful Outcomes Establish relevant cross functional partnerships across a variety of organizations including Sales Operations, Finance, Business Applications and Product Management Lead multiple critical initiatives - develop and align scope and deliverables and optimally deliver the solution Supply to the transition of project management at Cohesity to Agile methodology

Cohesity is seeking an outstanding lawyer to be based in India with 5+ years legal experience to join our International legal team. We are looking for someone who is enthusiastic about technology and self-directed learning, enjoys being challenged, and uses sound judgement in ambiguity. This position will support both our rapidly growing local India sales team and other international regions, and as such requires flexibility to support time zones across the globe. All candidates should be interested in experiencing a fast-paced, fun and growing culture. This lawyer s responsibilities will include partnering effectively with sales, deal management, sales operations, finance, and our technical teams. The successful candidate will also handle general contract and corporate matters as necessary, and will work closely with other lawyers in the Cohesity legal team, including the Chief Legal Officer. HOW you'll SPEND YOUR TIME HERE Negotiate and draft a high volume of complex technology sales and partnering transactions, and a variety of other commercial contracts, including confidentiality agreements, license agreements, data processing agreements, professional services agreements, assignments and amendments Develop and implement legal efficiencies to support sales, channel and business development teams and improve our contract processes and operations Improve and create contract templates and negotiation playbooks and provide internal training to sales, sales operations and legal operations Work closely with sales leadership, deal management and company leaders on strategic initiatives in support of all business verticals and customer-facing transactions Provide proactive strategic advice regarding business and legal issues and risks we'd LOVE TO TALK IF YOU HAVE MANY OF THE FOLLOWING 5+ years of law firm and/or in-house legal work experience preferably focused on technology transactions Law degree from a recognized university and license to practice in India, the United States or United Kingdom. Exceptional candidates without a license to practice in one of these jurisdictions will also be considered Specific experience in a SaaS, cloud computing, enterprise software and data privacy is highly valued but not essential Adept at interacting effectively in a highly customer satisfaction focused environment Adept at partnering with sales colleagues in fast paced customer facing transactions, demonstrated competencies as a critical thinker and proactive problem solver, with a willingness to roll up his/her sleeves to get into the details and drive creative solutions Excellent oral, written and interpersonal communication skills Detail-oriented, excellent organizational skills and ability to manage multiple transactions and projects simultaneously under deadline pressure Demonstrated exceptional judgment and integrity with the ability to think strategically and give practical advice appropriately weighing legal and business objectives. Essential to Success: Willingness to be flexible to support time zones across the world Ability to thrive in situations that are rarely clear-cut or by-the-book. This team is nimble and inventive; being willing to go beyond your comfort zone is essential to success. A strong team player who can work we'll with business colleagues in high pressure situations Committed to his or her personal growth and development by actively seeking feedback and responding with action.

We are seeking an experienced DevOps Engineer to join our team and help drive our infrastructure automation, cloud operations, and deployment processes The ideal candidate will have a strong background in AWS services, containerization, and modern DevOps practices Key Responsibilities: * Design, implement, and maintain AWS cloud infrastructure using Infrastructure as Code * Manage and optimize container orchestration platforms (EKS/ECS) * Implement and maintain CI/CD pipelines for application deployment * Monitor cloud infrastructure costs and implement optimization strategies * Establish and maintain monitoring and observability solutions * Collaborate with development teams to improve deployment processes * Implement security best practices and compliance requirements * Design and implement high availability and disaster recovery solutions Mandatory Technical Skills: * AWS Services: EC2, VPC, S3, RDS, IAM, Route53, Cloud Watch * Infrastructure as Code: Terraform or Cloud Formation * Container Technologies: Docker, Kubernetes with advanced orchestration knowledge * CI/CD Tools: GitHub Actions, Azure DevOps, Jenkins, or similar * Version Control: Git * Scripting: Python, Bash * Container Orchestration: EKS, ECS * Monitoring Tools: Cloud Watch, Prometheus, Grafana, or similar * Strong hands-on experience with Automation & Configuration Management tools (Terraform, Ansible, Puppet, or Chef) * Deep understanding of security practices for cloud environments * Experience in designing highly available, fault-tolerant systems * Expertise in monitoring and logging systems (Prometheus, Grafana, ELK Stack, New Relic, Splunk) Good to Have Skills: * Experience with AWS cost optimization tools and strategies * Lead and execute cloud migration projects * Knowledge of other cloud platforms (GCP, Azure) * Configuration Management tools (Ansible, Chef, or Puppet) * Knowledge of security tools and compliance frameworks * Database administration skills * Experience with microservices architecture deployment and scaling Required Qualities: * Strong problem-solving and analytical skills * Excellent communication and documentation abilities * Experience working in Agile environments with sprint planning and ceremonies * Ability to mentor junior team members * Strong focus on automation and process improvement Required Experience: * 4-7 years of hands-on experience in DevOps/Cloud Engineering roles * Strong experience with AWS cloud platform and services * Proven track record in implementing and managing CI/CD pipelines * Experience with containerization and orchestration technologies * Experience working in Agile environment with frequent deployments and iterative improvements Education: * bachelors degree in computer science, Engineering, or related field * Relevant AWS certifications are a plus * Agile/Scrum certifications are valued

We are seeking an enthusiastic and detail-oriented Entry-Level BI Analyst to join our Global Sales Compensation Team. This full-time role focuses on creating sales compensation-related reports, dashboards, and scorecards primarily using Smartsheet, Power BI, and Excel. The ideal candidate will possess strong process improvement skills, a focus on data quality, and an interest in process automation. Knowledge of Sales Compensation and Callidus is desired. HOW you'll SPEND YOUR TIME HERE Develop and maintain sales compensation reports, dashboards, and scorecards using Smartsheet, Power BI, and Excel. Collaborate with global cross-functional teams, including Sales Operations and Commissions, to gather requirements and ensure accurate reporting. Integrate data from various platforms, including Workday, Callidus, Salesforce, Oracle, and others to ensure comprehensive reporting. Ensure data integrity and accuracy across all reporting platforms, with an emphasis on data quality. Assist in automating reporting processes to improve efficiency and reduce manual effort. Document processes and maintain operational documents for reporting activities. Contribute to process improvement initiatives to enhance reporting efficiency and effectiveness. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING bachelors degree in Business, Finance, Data Analytics, or a related field (recent graduates are encouraged to apply). Strong Excel skills for data analysis and reporting. Familiarity with Smartsheet and Power BI for report creation and data visualization. Experience with data integration from platforms such as Workday, Callidus, Salesforce, and Oracle is a plus. Knowledge of Sales Compensation is desired. Strong skills in process improvement, data quality, and process automation. Attention to detail and problem-solving abilities. Good communication and writing skills to effectively convey information and collaborate with team members. Ability to work collaboratively with diverse teams across different time zones.

Our passionate and highly skilled engineering team is proficient in building comprehensive data protection solutions to secure, manage and protect data of large enterprise customers across variety of environment. As a Staff Software Engineer, you will be an individual contributor focused on architecting, designing, developing, enhancing innovative features on next generation of our proven NetBackup architecture. We are a motived team of engineers building microservices based scalable, elastic and resilient solutions to achieve significant cost savings for our customers. HOW you'll SPEND YOUR TIME HERE Collaborate with stakeholders and team members to understand customer asks, use cases. Brainstorm, design and implement robust and scalable solutions, ensure timely delivery as per release milestones. Ensure high quality output with diligent code reviews, thorough unit/automation testing and stakeholder demos. Analize, troubleshoot and resolve complex issues found during internal testing, customer usage. Mentor/Guide junior team members. Collaborate & contribute to innovation efforts across the company we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Proficiency and hands on development experience of 8-14 years in C/C++, GoLang, exposure to Python. Excellent understanding and background in Containers and Kubernetes. In depth knowledge of Cloud (AWS, Azure & Google). Strong understanding of cyber security is desirable. Strong coding, analytical, debugging and troubleshooting skills including use of tools such GDB, Python Debugger. Highly motivated and passionate, problem-solver who can dive deep to solve complex problems/issues and build quality products. Strong collaborator with great communication skills.

Our passionate and highly skilled engineering team is proficient in building comprehensive data protection solutions to secure, manage and protect data of large enterprise customers across variety of environment. As a Software Engineer, you will be an individual contributor focused on developing, enhancing innovative features on next generation of our proven NetBackup architecture. We are a motived team of engineers building microservices based scalable, elastic and resilient solutions to achieve significant cost savings for our customers. HOW you'll SPEND YOUR TIME HERE Collaborate with stakeholders and team members to understand customer asks, use cases. Brainstorm, design and implement robust and scalable solutions, ensure timely delivery as per release milestones. Ensure high quality output with diligent code reviews, thorough unit/automation testing and stakeholder demos. Analize, troubleshoot and resolve complex issues found during internal testing, customer usage. we'd LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Excellent understanding and background in Containers and Kubernetes. Proficiency and hands on development experience of 2 to 4 years in C/C++, GoLang, exposure to Python. In depth knowledge of Cloud (AWS, Azure & Google). Strong coding, analytical, debugging and troubleshooting skills including use of tools such GDB, Python Debugger. Understanding of data security, management and protection concepts is a big plus. Highly motivated and passionate, problem-solver who can dive deep to solve complex problems/issues and build quality products. Strong collaborator with great communication skills.

Software Engineering Associate Analyst - API Developer Position Overview Developer with hands on design and developer experience to build robust APIs and services using Java and Spring Boot, coupled with hands-on experience in data processing. Has knowledge and experience to design and implement scalable On Prem / Cloud solutions that efficiently manage and leverage large datasets. Proficient in Java / Spring Boot with demonstrated ability to integrate with different databases and other APIs and services while ensuring security and best practices are followed throughout the development lifecycle. Responsibilities Design, develop, and maintain API s using Java and Spring Boot and ensure efficient data exchange between applications. Implement API security measures including authentication, authorization, and rate limiting. Document API specifications and maintain API documentation for internal and external users. Develop integration with different data sources and other APIs / Web Services Develop integrations with IBM MQ and Kafka Develop / Maintain CI/CD pipelines Do performance evaluation and application tuning Monitor and troubleshoot application for stability and performance Qualifications Required Skills & Experience: 0 - 1 Years of experience Programming Languages: Proficiency in Java. Web Development: Experience with SOAP and RESTful services. Database Management: Strong knowledge of SQL (Oracle). Version Control: Expertise in using version control systems like Git. CI/CD: Familiarity with CI/CD tools such as GitLab CI and Jenkins. Containerization & Orchestration: Experience with Docker and OpenShift. Messaging Queues: Knowledge of IBM MQ and Apache Kafka. Cloud Services: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. About Evernorth Health Services