Technical Development Lead, Cards (Microservices, JAVA development)

Principal/Staff, Firmware and Product Test (SSD)

Manager, Data Engineering

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Software Engineer SAP Commerce Cloud

Senior AI Engineer

Data Engineer

Technical Writer

Responsibilities: Application Development &amp; Delivery: <ul><li>Lead development and implementation Cards related applications with overall accountability ensuring product deliveries are timely and with good quality.</li><li>Partner with System Analyst &amp; subject matter experts to understand and implement functional and technical requirements</li><li>Provide systems input to specification phase (e.g., effort estimates, high-level delivery plan) based on impact assessment (e.g., function points)</li><li>Partner with Architects, Security and System Analysts to ensure solution design complies with enterprise design principles, security and control standards. Have a hands-on approach to ensure that the application teams build the enhancements according to the solution plan</li><li>Drive platform modernization initiatives in collaboration with Architecture, Risk, and Infrastructure teams.</li><li>Partner with Test Manager to ensure completion of SIT, UAT, performance / load testing and application security testing with quality results</li><li>Work with Security to facilitate completion of penetration testing and remediation of findings in accordance with Mitigation Plan</li><li>Prepare and manage technical implementation plan across application teams</li><li>Coordinate technical implementation activities across application teams to ensure non-event production cutover and adequate post implementation support</li><li>Escalate issues that impact project schedule on timely basis and propose workarounds/resolutions</li><li>Work with vendor to ensure product deliveries are timely and of good quality.</li><li>Manage budgets coming from different projects.</li><li>Ensure project documentation is done up in accordance with bank standards</li></ul> DevOps &amp; Technical Governance: <ul><li>Champion CI/CD, automated testing, and infrastructure-as-code practices.</li><li>Ensure compliance with patching, vulnerability remediation, and security standards.</li><li>Manage deployments and change control processes.</li></ul> Incident &amp; Problem Management: <ul><li>Provide technical leadership during major incidents.</li><li>Conduct root cause analysis and implement preventive actions.</li><li>Collaborate with support teams for smooth production transitions.</li></ul> Team &amp; Stakeholder Management: <ul><li>Lead high-performing teams across onshore and offshore locations.</li><li>Mentor team members and foster technical excellence.</li><li>Collaborate with business units, vendors, and compliance teams to align delivery with strategic goals.</li></ul> Operational Excellence: <ul><li>Drive continuous improvement across development and delivery processes.</li><li>Maintain technical documentation, design artifacts, and runbooks.</li><li>Participate in capacity planning, disaster recovery, and performance tuning</li></ul> Requirements: <ul><li>Delivery, Project, Stakeholder &amp; Vendor Management experience, &amp; Technical Delivery Leadership</li><li>Experience in actual systems development work, with prior coding, functional specifications and technical specifications and systems development and testing experience</li><li>Strong experience in Cards &amp; Payments domain (Credit Cards, Debit Cards, Transaction Processing, Authorization, Settlement).</li><li>Experience implementing CI/CD pipelines using tools such as Jenkins, Git, Maven, Gradle, and SonarQube.</li></ul>

Responsibilities: <ul><li>Build comprehensive firmware verification plans for various firmware features.</li><li>Develop white/ grey-box, known, and closed system testing methods to verify and validate firmware products.</li><li>Analyze failures from weekly regressions and perform root-cause analysis, requiring deep SSD domain expertise.</li><li>Manage test development, test deployment, test automation, and reporting activities.</li><li>Communicate challenges, solutions, and mitigation plans to cross-functional teams and management with clear and effective communication of both technical and non-technical topics.</li><li>Participate in code reviews and guide the team to ensure comprehensive coverage and accurate architectural build.</li><li>Establish strong working relationships with firmware development engineers to improve code quality.</li><li>Lead a team of technical people, as required.</li></ul>&nbsp;Requirements: <ul><li>B.Sc. in Electrical Engineering, Computer Engineering, or Computer Science</li><li>6-8 years of pertinent experience in SSD firmware test development</li><li>Comprehensive understanding and substantial experience in SSD firmware testing and Python programming</li><li>Deep understanding of storage industry protocols such as PCIe, NVMe and NVMe-MI, with ability to design and develop tests aligned with specifications.</li><li>Familiarity with Agile/ Scrum development, GIT-based development workflow and branch management.</li><li>Experience with automated build, continuous integration, and test automation systems</li><li>Highly organized, creative, motivated, and passionate about achieving results</li><li>Ability to work on complex tasks independently with minimal supervision</li><li>Demonstrated leadership abilities and the capability to mentor less experienced engineers</li><li>Excellent problem-solving and analytical skills</li><li>Strong interpersonal and communication skills, and a great teammate</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Responsibilities: QMS Ownership for Deliverable Software <ul><li>Translate AS9115 Rev A and AS9100:2016 requirements into practical procedures, work instructions, and templates.</li><li>Establish processes covering software planning, development, integration, verification/validation, release, delivery, and post-delivery support.</li><li>Ensure the QMS supports multiple development models (Agile, Waterfall, Incremental) while enforcing required quality controls including reviews, approvals, traceability, and documentation.</li></ul> Software Planning &amp; Requirements Quality <ul><li>Lead the creation and maintenance of Software Quality Plans.</li><li>Establish standards for requirements management ensuring requirements are:</li></ul> <ul><li>Clear</li><li>Unambiguous</li><li>Testable</li><li>Maintain bidirectional traceability from:</li><li>Requirements → Design → Code → Test → Release.</li></ul> Configuration Management &amp; Change Control Define standards for Software Configuration Management (CM) including: <ul><li>Baselines</li><li>Configuration item identification</li><li>Change evaluation and approval</li><li>Configuration status accounting</li><li>Integrate software configuration management with product and system configuration processes.</li><li>Ensure CM covers software, documentation, tools, environments, and build/release artifacts.</li></ul> Supplier &amp; COTS/NDS Management <ul><li>Establish standards for evaluation and acceptance of Commercial Off-The-Shelf (COTS) and Non-Developmental Software (NDS) used in deliverable products.</li><li>Define AS9115 control applicability with both customers and suppliers.</li><li>Support supplier qualification, audits, and incoming verification for software deliverables and services.</li></ul> Verification, Validation &amp; Test Assurance <ul><li>Define verification standards within the QMS including:</li><li>Static analysis</li><li>Peer reviews</li><li>Unit testing</li><li>Integration testing</li><li>System testing</li><li>Regression testing</li><li>Security testing</li><li>Ensure independence of verification activities where required.</li><li>Maintain controlled test environments, data integrity, and objective evidence for compliance audits.</li></ul> Release, Delivery &amp; Post-Delivery Support Develop procedures for: <ul><li>Software release criteria</li><li>Delivery records</li><li>Installation documentation</li><li>Post-delivery issue management</li><li>Patching and configuration updates</li><li>Ensure all processes align with AS9115 standards.</li></ul> Audits, Metrics &amp; Continuous Improvement Lead internal and customer audits related to AS9115/AS9100 compliance. <ul><li>Manage Corrective and Preventive Actions (CAPA).</li><li>Support external and second-party audits with aerospace OEMs.</li><li>Define and track key quality KPIs, including:</li><li>Requirements volatility</li><li>Defect density</li><li>Defect escape rate</li><li>Verification coverage</li><li>Audit findings aging</li><li>Build reproducibility</li><li>Change lead time</li></ul> Requirements: Bachelor’s or Master’s degree in: <ul><li>Software Engineering</li><li>Computer Science</li><li>Systems Engineering or a related discipline.</li><li>Minimum 5 years of experience in software quality or software engineering within aerospace, defense, or other regulated industries.</li><li>Hands-on experience implementing AS9100 quality processes with working knowledge of AS9115 software lifecycle controls.</li></ul> Strong experience in: <ul><li>Requirements management</li><li>Configuration management</li><li>Verification and validation</li><li>Software release governance</li><li>Experience managing COTS/NDS software integration and supplier quality.</li><li>Proven ability to lead audit activities and corrective actions using structured problem-solving tools such as:</li><li>5 Why</li><li>Ishikawa</li><li>8D</li></ul> Preferred Qualifications <ul><li>Experience supporting AS9115 second-party audits with aerospace OEMs.</li><li>Familiarity with DO-178C concepts and coordination with DO-254/ED-80 hardware processes.</li><li>Experience with ALM/PLM and configuration management tools, such as:</li><li>Polarion</li><li>IBM DOORS</li><li>CodeBeamer</li><li>Git / GitLab</li><li>Bitbucket</li><li>Azure DevOps</li><li>Knowledge of CI/CD pipelines, static analysis tools, and unit testing frameworks.</li><li>Exposure to CMMI-DEV processes and experience aligning them with AS9115 quality objectives.</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>Framework Development: Contribute to, maintain and enhance the test automation framework by adding new capabilities and improving maintainability.</li><li>Ensure the framework supports scalability, modularity, and cross-platform compatibility.</li><li>Be ready to jump into unknown areas and quickly implement the most suitable solutions.</li><li>Test Script Development: Design, develop, and maintain robust and reusable test automation scripts.</li><li>Work with different application layers: UI, API, database, and possibly mobile or desktop apps. Implement and maintain utilities and test libraries.</li><li>If required support developers with unit tests.</li><li>Test Strategy &amp; Planning: Collaborate with QA leads and developers to define what to automate, when, and how.</li><li>Ensure test automation is integrated in the CI/CD pipeline and supports continuous testing.</li><li>Test Execution &amp; Maintenance: Regularly run automated tests and analyze results. Identify and troubleshoot test failures, escalating issues when needed. Maintain and update existing test cases and CI/CD pipelines as applications evolve.</li><li>Troubleshooting &amp; Debugging: Investigate test failures and identify root causes— whether it’s a test issue, application defect, or environment problem.</li><li>Provide quick and effective fixes or workarounds.</li><li>Collaboration &amp; Mentorship: Collaborate with developers, QA engineers, DevOps, and product owners to ensure alignment on testing objectives.</li><li>Mentor junior team members on automation best practices and tool usage.</li><li>Code Quality &amp; Version Control: Write clean, maintainable, and efficient automation code. Perform code reviews for junior engineers and provide constructive feedback. Ensure adherence to automation coding standards and version control practices.</li><li>Test Data &amp; Environment Handling: Set up or manage basic test data for automated runs. Run tests across different environments and report inconsistencies.</li><li>Documentation: Document automated tests and provide clear test case descriptions.</li><li>Keep test coverage and automation status updated in tracking tools like Jira, TestRail, or similar.</li></ul> Requirements: <ul><li>Experience &amp; Expertise: Excellent coding skill in Python, JavaScript is a plus.</li><li>Proven experience in building test framework, application development and building applications, working with git.</li><li>Solid experience with API automation testing, microservices solutions, setting up CI/CD pipelines in Azure DevOps or similar.</li><li>Great experience with Docker or similar.</li><li>Agile methodology: Experience in working in an Agile environment and comfortable in dynamic settings and requirements.</li><li>You thrive as fast-paced and are an independent contributor with no support required to drive assigned tasks forward with precision and efficiency.</li><li>Communication &amp; Collaboration: Proficient in cross-functional communication with a demonstrated ability to facilitate team communication and knowledge sharing sessions.</li><li>Technical Proficiency: Hands-on experience with latest development tools and processes, DevOps practices and Cloud solutions like Azure, AWS or similar, Robot Framework, Selenium Grid and reporting tools like Grafana, Report Portal or similar.&nbsp;</li><li>Continuous Improvement: Proactively identify areas for automation improvement or technical debt reduction.</li><li>Stay current with industry trends, tools, and emerging practices.</li><li>Educational Background: A Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain scalable software solutions for the eCommerce domain.</li><li>Work as a key member of an agile Scrum team, actively participating in sprint planning, backlog refinement, daily stand-ups, and retrospectives.</li><li>Collaborating closely with development leads to align on technical direction, architecture, and implementation strategies.</li><li>Analyze and solve complex problems across the stack, from front-end interfaces to back-end services and integrations.</li><li>Understand business and technical requirements to create high-quality, maintainable deliverables.</li><li>Participate in code reviews, design discussions, and continuous improvement of engineering practices.</li><li>Ensure high standards of code quality, reliability, and system performance.</li><li>Support incident resolution and platform stability initiatives.</li></ul> Requirements: <ul><li>4+ years of hands-on programming experience in one or more languages such as Java, C#, JavaScript, Python, Spring boot etc.</li><li>Proven ability to learn and adapt quickly to new technologies, frameworks, and platforms.</li><li>Strong understanding of software engineering principles, design patterns, and scalable architecture.</li><li>Solid experience with RESTful APIs, microservices, and modern development tools (Git, CI/CD, etc.).</li><li>Strong analytical, problem-solving, and debugging skills.</li><li>Working knowledge of relational and/or NoSQL databases.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus.</li><li>Prior experience or understanding of eCommerce systems, shopping carts, order management, product catalog, payment integration, etc., is highly desirable.</li><li>Exposure to DevOps practices, automation, and monitoring tools is a plus.</li><li>Excellent communication and collaboration skills, especially in a distributed team setting.</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Responsibilities: <ul><li>Develop and maintain comprehensive documentation for smart contract applications, including user guides, API references, and system overviews.</li><li>Collaborate with engineering and product teams to understand new features and translate them into accurate and accessible documentation.</li><li>Create tutorials, walkthroughs, and FAQs to support users and developers interacting with our applications.</li><li>Ensure documentation is consistent with brand voice, technical accuracy, and usability standards.</li><li>Maintain version control and change logs for documentation updates.</li><li>Organize and manage documentation repositories using tools like Git, Notion, or Confluence.</li><li>Conduct user research and gather feedback to improve documentation quality and relevance.</li><li>Stay current with Web3 trends, tools, and best practices to ensure documentation reflects the latest standards and innovations.</li></ul> Requirements: <ul><li>3+ years of experience in technical writing, preferably in software or blockchain environments.</li><li>Strong understanding of Web3 technologies, including smart contracts, dApps, and blockchain fundamentals.</li><li>Experience documenting APIs, SDKs, and developer tools.</li><li>Proficiency with documentation tools such as Markdown, Git, and static site generators.</li><li>Excellent written and verbal communication skills.</li><li>Ability to work independently and manage multiple documentation projects simultaneously.</li><li>Strong attention to detail and commitment to clarity and accuracy.</li></ul> Bonus Experience: <ul><li>Experience working with smart contracts</li><li>Familiarity with Solidity, Rust, or other smart contract languages.</li><li>Experience with Chainlink tools, including CCIP, Data Feeds, VRF, and Automation.</li><li>Background in UX writing or instructional design.</li><li>Contributions to open-source documentation or developer communities.</li><li>Experience in financial services or regulated industries.</li></ul>

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12 git Jobs found

Technical Development Lead, Cards (Microservices, JAVA development)

Principal/Staff, Firmware and Product Test (SSD)

Manager, Data Engineering

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Software Engineer SAP Commerce Cloud

Senior AI Engineer

Data Engineer

Technical Writer

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12 git Jobs found

Technical Development Lead, Cards (Microservices, JAVA development)

Principal/Staff, Firmware and Product Test (SSD)

Manager, Data Engineering

Staff Advanced Quality Engineer (Software)

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Software Engineer SAP Commerce Cloud

Senior AI Engineer

Data Engineer

Technical Writer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.