1909 System Architecture Jobs - Page 17

We are looking for an enthusiastic Senior Software Engineer to work at the forefront of our cloud modernisation efforts. Key Responsibilities You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering. You will work as a senior developer in an agile team to deliver high-quality software solutions within agreed timelines, aligned with business requirements and agile principles. Translate business requirements into clean, scalable code with minimal defects. Collaborate closely with cross-functional team members to design, develop, test, and release software. Contribute to development processes and practices, fostering a culture of continuous integration, delivery, and improvement. Provide clear and concise documentation for code, processes, and system architecture to support knowledge sharing and maintainability. Experience and Skills Bachelors degree in engineering. 4+ years of hands-on experience in software development. Proven experience building secure, high-volume, mission-critical web systems in regulated industries (finance/insurance). Translating business requirements into clean, scalable code using design patterns and security best practices. Strong individual contributor and effective team collaborator. Technical Skills Proficient in .NET Core / .NET 6+ / .NET Framework, building APIs with ASP.NET and C#. Experienced in writing unit tests (NUnit), using mocking frameworks, and applying TDD. Integration testing using BDD. Expertise in building REST/SOAP/gRPC APIs using microservices/SOA. Expertise in creating, maintaining, and reusing frameworks/libraries. Hands-on with AWS for deploying and managing applications. Clean code, clean architecture, SOLID principles, and design patterns. Expertise with SQL/NoSQL databases. Proficient with Docker, Kubernetes, and Git (Bitbucket, GitHub, GitLab) & CI/CD practices. Expertise in Agile teams (Scrum or Kanban). Familiar with static code analysis and vulnerability management. Desirable Skills Working knowledge of GenAI tools for coding. AWS certifications or relevant public cloud certifications. Deploying & scaling services on Kubernetes, Amazon ECS/EKS. Familiarity with Domain-Driven Design (DDD) and Event-Driven Architecture (EDA). Event streaming/messaging tools (Kafka, EventBridge, Kinesis, RabbitMQ, ActiveMQ). Proficient in Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK. CI/CD tools like GitHub Actions, GitLab CI, or Jenkins.

The role of the Senior Performance Testing Engineer will Conduct performance testing and establish performance engineering strategy for software programs. Drive execution and enable a high impact QA engineering function. Collaborate internally with key Technology Services teams as we'll as business functions to ensure initiatives are aligned with business and technical needs, are we'll managed and delivered on time, and are on budget with the required functionality. Promote industry best practices such as shift leftmodularize/real-time methods and have a metrics driven team approach. Responsibilities Responsible for architecting, designing and implementing test performance testing frameworks from the ground up into a continuous integration and execution model Conduct workload modelling analyzing application architecture and production workload Develop, execute and maintain performance test scripts to meet software release deliverables, project testing requirements and other quality considerations Define test data conditions and partners and works closely with Data team to obtain the data. Actively engage in defect reporting and triaging Responsible for creating data portability functions. Create data necessary for the scripts based on the functionality Document, maintain, and monitor software problems Recommend strategies and methods to improve test plans and test processes Maintain we'll organized records of test results and generate historical analysis of test results As a member of the scrum team, closely interact with both onsite and offshore team members. The onsite and offshore interactions include scrum team members (Scrum masters, developers, Product Owners and QA at onsite and offshore) Qualifications 4-5 years of Performance Testing Experience Plan Performance Test strategy for complex systems Quick decision-making related to test environment readiness and results analysis based on previous experience Understand the system architecture and target the LOAD test to identify the potential bottlenecks Workload modeling on the system under test to design the test based on the Load, Volume of data and Peak time of the business PROD Monitoring for utilization of infrastructure Guide the team members with Industry best practices NeoLoad, Azure cloud experience would be a plus. Experience in testing of Web services (XML/REST/SOAP) and Browser-specific testing Experience with UI API testing Experience with Continuous Integration systems (eg, Azure, Jenkins, Travis, GitLab) Required Experience Education: Bachelors degree equivalent in Computer Science, equivalent preferred. At-least 4-5 years of experience in performance testing

We are looking for a dynamic, energetic Software Systems Design Engineer to join our growing team. As a key contributor to the success of AMD s products, you will be part of a leading team to drive and improve AMD s abilities to deliver the highest quality, industry-leading technologies to market. The Software Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as we'll as facilitate continuous career development. THE PERSON: As a Software Systems Design Engineer, you will be responsible for increasing performance optimization of applications running on AMD hardware. In this high visibility position, your systems engineering expertise will be necessary to define products, develop solutions, assess root causes, and produce solution resolutions. As a senior member of the team, taking initiative in mentoring to achiev e the team s goal of on time delivery is expected. KEY RESPONSIBILITIES: Drive technical innovation to improve AMDs capabilities across product development and validation, including software tools and script development, technical and procedural methodology enhancement, and various internal and cross-functional initiatives . C onvert feature specifications into test cases (manual and automated) that will cover several types of testing - boundary, negative, functional, etc W ork with multiple teams and tracking test execution to make sure all features are validated and optimized on time . W ork closely with supporting technical teams to validate new software features and new OS (Operating System) introduction . Le ad collaborative approaches with multiple teams . M entor others to achieve integrated projects . PREFERRED EXPERIENCE: C++ Programming experience is a MUST x86-64 Architecture knowledge Python or any scripting language knowledge is added advantage Debug techniques and methodologies . Good knowledge and hands on experience in PC (Personal Computer) configurations (both Software and Hardware) with methods of Troubleshooting . Proven work on Windows and Linux operating systems . Knowledge of system architecture, technical debug, and validation strategies . Detailed oriented; ability to multitask through planning/organizing. Excellent Communication and Presentation skills . ACADEMIC CREDENTIALS: Bachelors or masters degree in electrical or computer engineering . masters degree preferred.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firms strategic goals. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning, mobile, etc) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

Adobe Creative Cloud Extensibility Team is adding hard-working people who are revolutionising the world of design and creativity. Are you interested in helping Adobe products thrive globally Does the idea of coming up, developing and incubating new product solutions that unlock opportunities in other cultures excite you We are looking for a dedicated Senior Fullstack Engineer to help re-envision our user experiences for international users with a passion for current web technology, extensibility, collaboration on shared code, solving problems at scale, and pixel-perfect user experiences. we're seeking an Engineer to join our team based in Bangalore, India. What you'll Do As an Extensibility Engineer, you will distil designs into embedded experiences that integrates with frameworks at Adobe and other 3rd party platforms. you'll participate in overall strategy, key technical planning activities, such as feature delivery, system architecture, requirements definition, project scope, and delivery expectations. The Engineer plays a key role in ensuring International solutions launch in an agile, stable and scalable way. In this role, you will: Prototype, develop, unit-test and deploy scalable features in the highest quality Collaborate with teammates on the best approaches for problem solving Perform code reviews, provide mentorship to team members on coding techniques and respond effectively to feedback from reviewers Plan, develop, supervise and evolve needed infrastructure in collaboration with Ops partners Be committed to DevOps/Unified Engineering culture Troubleshoot and resolve performance, reliability, and scalability issues. Adopt a highly reciprocal team that requires effective communication and quality contributions across multiple geographies What you need to succeed 7+ years of experience as a Frontend developer. In-depth understanding of the entire web development process (design, development and deployment) Proficient with front-end technologies such as ReactJS, HTML, JavaScript and CSS Good understanding of User authentication and authorisation between multiple systems, servers, and environments Proficient understanding of code versioning tools, such as Git Critical thinker and problem-solving skills Good organisational and time-management skills Great interpersonal and communication skills B.Tech./M.Tech. degree from a premium institute

A Senior SAP S/4HANA Test Management Manager is responsible for overseeing the testing lifecycle of SAP S/4HANA implementations and upgrades. This role ensures that all SAP solutions meet high-quality standards before deployment, mitigating risks associated with system failures or defects. The Senior Manager will define test strategies, manage test execution, lead cross-functional teams, and ensure compliance with industry best practices. Key Responsibilities 1. Test Strategy Planning Develop comprehensive test strategies for SAP S/4HANA projects, ensuring alignment with business requirements, system architecture, and project timelines. Define test scope, objectives, and methodologies , ensuring full coverage of functional, integration, and performance testing. Establish testing best practices and methodologies based on industry standards such as ISTQB , Agile, and DevOps . Ensure compliance with regulatory requirements in industries such as manufacturing, finance, healthcare, and retail. 2. Test Execution Defect Management Oversee functional, integration, regression, performance, and user acceptance testing (UAT) . Utilize test automation tools (eg, SAP Solution Manager, Signavio, Tricentis Tosca, Tricentis Neoload, HP ALM, JIRA ) to streamline test execution. Monitor test execution progress, ensuring on-time completion of test cycles while identifying bottlenecks. Manage defect tracking and resolution processes, collaborating with development, SAP functional, and business teams to ensure timely fixes and revalidation. Ensure end-to-end traceability between test cases, requirements, and defects. 3. Test Governance Quality Assurance Establish a test governance framework to standardize testing policies and procedures across SAP S/4HANA projects. Define and track key quality metrics (eg, defect density, test coverage, pass/fail rates). Perform risk-based testing assessments , identifying critical areas that require focused testing efforts. Ensure rigorous security and compliance testing , particularly for industries with data protection regulations (GDPR, SOX, HIPAA, etc) . 4. Team Leadership Stakeholder Management Lead and mentor onshore and offshore test teams, ensuring productivity and efficiency in testing efforts. Collaborate with SAP consultants, business analysts, functional teams, and project managers to ensure smooth communication across teams. Act as the primary point of contact for executives, business stakeholders, and IT teams , providing regular updates on testing progress and risk assessments. Conduct training sessions and knowledge transfer workshops to enhance team capabilities in SAP testing methodologies. 5. Test Automation Continuous Improvement Drive test automation adoption to improve efficiency and reduce manual testing efforts. Implement CI/CD (Continuous Integration/Continuous Deployment) practices for SAP S/4HANA testing. Explore AI/ML-driven testing solutions to enhance predictive analytics in test case execution. Continuously refine test strategies based on lessons learned from previous projects and industry advancements . Education Certifications Bachelors or masters degree in Computer Science, Information Technology, Engineering, or a related field . ISTQB Advanced Level Test Manager certification is highly desirable. SAP-related certifications such as SAP S/4HANA Testing or SAP Solution Manager are a plus. Experience 10+ years of experience in SAP testing and test management , with a focus on SAP S/4HANA implementations in Global, multi lingual roll out model. Extensive experience in managing end-to-end SAP testing lifecycles , including greenfield, brownfield, and hybrid implementations . Strong and comprehensive expertise in test automation tools , including but not limited to Tricentis Tosca, Tricentis Neoload, HP ALM, and Selenium . Hands-on experience with Agile, DevOps, and SAFe methodologies in SAP projects. Experience in leading global testing teams , including onshore/offshore coordination. Technical Functional Skills In-depth knowledge of SAP S/4HANA modules (eg, Finance (FI), Supply Chain (SCM), Manufacturing (PP, MM), Sales Distribution (SD), Procurement, HR etc ). Strong understanding of SAP Fiori, ABAP, and integrations with third-party applications . Familiarity with SAP Solution Manager (SolMan) for test management, defect tracking, and business process monitoring . Expertise in API testing, performance testing, and security testing for SAP applications. Soft Skills Strong leadership and stakeholder management abilities. Excellent analytical and problem-solving skills. Effective communication and presentation skills for executive-level reporting. Ability to manage multiple concurrent projects under tight deadlines. Preferred Qualifications Experience working in SAP S/4HANA Cloud environments . Knowledge of RPA (Robotic Process Automation) for SAP testing. Familiarity with SAP BTP (Business Technology Platform) and SAP AI-driven testing tools .

We are seeking a seasoned SoC Architect with expertise or significant interest in System Architecture. You have had significant success driving architecture, product roadmaps and product requirements. You are meticulous about Power, Performance and Area while driving schedule and managing cost. This senior role will stretch you as you lead architecture teams in new directions, network with our world-class, patent-holding think-tank, and negotiate amongst design teams, marketing, and business unit executives. THE PERSON: You have excellent communication and presentation skills, demonstrated through technical publications, presentations, trainings, executive briefings, etc You are highly adept at collaboration among top-thinkers and engineers alike, ready to mentor and guide, and help to elevate the knowledge and skills of the team around you. KEY RESPONSIBILITIES: Define product features and capabilities, close architecture, and micro-architecture requirements, drive technical specifications for SoC and IP blocks to meet those requirements, and provide technical direction to execution teams Comprehend the SOC as a complete system which includes HW (Silicon), FW, BIOS & SW and ensure that FW, BIOS & SW are aligned to enable all features, optimizing for performance and power Work cross functionally with IP/Domain architects to identify and assess complex technical issues/risks and develop architectural solutions to achieve product requirements Knowledge sharing and other contributions to Platform & System Architecture As an overall product owner, responsible for architecture analysis and technical solutions for marketing/feature change requests Work closely with Design teams for Area and Floorplan refinement, Verification Test plan reviews, Timing targets, Emulation plans, Pre-Si bug resolution and Performance/Power Verification sign offs Support Post-Si teams for Product Performance, Power and functional issues debug/resolution PREFERRED EXPERIENCE: Outstanding foundation in Systems & SoC architecture, with expertise in one or more of the following: CPU or GPU, Memory sub-system, Fabrics, CPU/GPU coherency, Multimedia, I/O subsystems, Clocks, Resets, Virtualization and Security Experience analyzing CPU, GPU or System-level Micro-Architectural features to identify performance bottlenecks within different workloads Demonstrated expertise in power management microarchitecture, low power design and power optimization, along with power impact at architecture, logic design, and circuit levels Excellent communication, management, and presentation skills. Adept at collaboration among top-thinkers and senior architects with strong interpersonal skills to work across teams in different geographies ACADEMIC CREDENTIALS: bachelors or masters degree in related discipline preferred

Overview Enterprise Data Operations Analyst Job OverviewAs an Analyst, Data Modeling , your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics . The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks , Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/ modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives , maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications Qualifications 5+ years of overall technology experience that includes at least 2+ years of data modeling and systems architecture. Around 2+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 2+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ , and Great Expectations. Experience building/ operating highly available , distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake . Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI ).

Overview As Senior Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data str/cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Overview As an Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 4+ years of overall technology experience that includes at least 2+ years of data modeling and systems architecture. Around 2+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 2+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Overview Enterprise Data Operations Sr Analyst L08 Job OverviewAs Senior Analyst, Data Modeling , your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics . The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks , Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/ modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives , maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications Qualifications 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ , and Great Expectations. Experience building/ operating highly available , distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake . Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI ). Does the person hired for this job need to be based in a PepsiCo office, or can they be remote Employee must be based in a Pepsico office Primary Work LocationHyderabad HUB-IND

Overview PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCos global business scale to enable business insights, advanced analytics, and new product development. PepsiCos Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. Increase awareness about available data and democratize access to it across the company. As a data engineering lead, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Ideally Candidate must be flexible to work an alternative schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon coverage requirements of the job. The candidate can work with immediate supervisor to change the work schedule on rotational basis depending on the product and project requirements. Responsibilities Provide leadership and management to a team of data engineers, managing processes and their flow of work, vetting their designs, and mentoring them to realize their full potential. Act as a subject matter expert across different digital projects. Overseework with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance. Responsible for implementing best practices around systems integration, security, performance, and data management. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Develop and optimize procedures to productionalize data science models. Define and manage SLAs for data products and processes running in production. Support large-scale experimentation done by data scientists. Prototype new approaches and build solutions at scale. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Qualifications 8+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture. 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.). 2+ years in cloud data engineering experience in Azure. Fluent with Azure cloud services. Azure Certification is a plus. Experience in Azure Log Analytics Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse or Snowflake. Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). BA/BS in Computer Science, Math, Physics, or other technical fields. Candidate must be flexible to work an alternative work schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon product and project coverage requirements of the job. Candidates are expected to be in the office at the assigned location at least 3 days a week and the days at work needs to be coordinated with immediate supervisor Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals. Ability to lead others without direct authority in a matrixed environment.

Overview PepsiCo operates in an environment undergoing immense and rapid change.Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCos global business scale to enable business insights, advanced analytics, and new product development. PepsiCos Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company. Responsible for day-to-day data collection, transportation, maintenance/ curation, and access to the PepsiCo corporate data asset Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders. Increase awareness about available data and democratize access to it across the company . As a data enginee r , you will be the key technical expert building PepsiCo's data product s to drive a strong vision. You'll be empowered to create data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help developing very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics . You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Responsibilities Act as a subject matter expert across different digital projects. Overseework with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance. Responsible for implementing best practices around systems integration, security, performance, and data management. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Develop and optimize procedures to productionalize data science models. Define and manage SLAs for data products and processes running in production. Support large-scale experimentation done by data scientists. Prototype new approaches and build solutions at scale. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Qualifications 4 + years of overall technology experience that includes at least 3 + years of hands-on software development, data engineering, and systems architecture. 3 + years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 3 + years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark , Scala etc.). 2+ years in cloud data engineering experience in Azure. Fluent with Azure cloud services. Azure Certification is a plus. Experience in Azure Log Analytics

Overview As an Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 5+ years of overall technology experience that includes at least 2+ years of data modeling and systems architecture. Around 2+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 2+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Overview As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems Responsibilities Active contributor to code development in projects and services. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance. Responsible for implementing best practices around systems integration, security, performance and data management. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Develop and optimize procedures to productionalize data science models. Define and manage SLAs for data products and processes running in production. Support large-scale experimentation done by data scientists. Prototype new approaches and build solutions at scale. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries Qualifications 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture. 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.). 2+ years in cloud data engineering experience in Azure. Fluent with Azure cloud services. Azure Certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake. Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus Understanding of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). BA/BS in Computer Science, Math, Physics, or other technical fields.

Overview As Senior Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data str/cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Understand Requirements and create Technical Specifications based thereuponGuide and Mentor Junior Developers Develop software modules according to requirements Test and verify that the developed software meets the requirements Manage the support team and process after Go-Live Skills: C# with .Net Core or higher Angular version and above SQL Server, Postgres Database Administration Microsoft Signal R Core MQTT Android & iOS Development Good understanding of System Architecture and Design Experience

Technical Lead – Linux-based IVI Development (8+ years) Location: Bangalore Job Summary: We are seeking an experienced Technical Lead to spearhead the development of a Linux-based In-Vehicle Infotainment (IVI) system. The role involves leading the design and implementation of the Bootloader (BL), Board Support Package (BSP), and Human-Machine Interface (HMI) components, ensuring seamless integration, performance, and compliance with automotive standards. Key Responsibilities: Lead the end-to-end technical delivery of Linux-based IVI software components, including BL, BSP, and HMI development. Architect and design system solutions that meet project requirements and automotive industry standards. Oversee kernel porting, device driver development, and bootloader customization. Guide the HMI/UI team in developing intuitive and responsive user interfaces using frameworks such as Qt or Wayland. Collaborate with cross-functional teams (middleware, hardware, QA) to ensure smooth integration and validation. Define coding standards, review code, and mentor team members to maintain high-quality deliverables. Manage technical risks, identify dependencies, and implement mitigation strategies. Work closely with project management to align technical execution with timelines and milestones. Stay updated with emerging technologies and industry trends relevant to IVI and embedded Linux development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electronics, or related field. 8+ years of experience in embedded Linux development, preferably in the automotive or IVI domain. Proven expertise in Bootloader (e.g., U-Boot) development and customization. Strong experience with Linux kernel porting, BSP development, and device driver implementation. Hands-on experience with HMI/UI development frameworks like Qt, Wayland, or OpenGL. Solid understanding of embedded system architectures and automotive communication protocols (CAN, Ethernet, etc.). Familiarity with Yocto Project or Buildroot for Linux build systems. Experience leading a technical team and mentoring engineers. Excellent problem-solving, communication, and leadership skills. Preferred Skills: Knowledge of multimedia frameworks (GStreamer, PulseAudio). Understanding of automotive safety standards (ISO 26262) and security best practices. Experience with Agile/Scrum development methodologies. Familiarity with CI/CD pipelines and automated testing tools.

Experience : Total experience of 7 and above years Minimum 3 years experience in BigCommerce Contract Duration: Minimum duration 6 months and extendable. Work Mode: Remote Required Skills: Should have hands-on experience in Node.js, React. CI/CD, DevOps, and deployment strategies System Design & Architecture Problem-Solving Ability Good at coding. Excellent communication skills..

Overview : We are seeking a highly skilled and experienced Principal Engineer with a strong background in Software Engineering and Build Engineering. In this hybrid role, you will be responsible for driving the design, development, and optimization of critical software systems while ensuring the robustness and efficiency of our build and deployment processes. You will lead technical initiatives, mentor junior engineers, and collaborate across teams to deliver high-performance solutions. If you are passionate about both high-level software architecture and optimizing build systems, we invite you to join our team. Responsibilities : Software Engineering Responsibilities : - Lead the design, architecture, and development of high-performance software systems using C++, C#, and .NET technologies. - Oversee the integration of low-level components using COM and ActiveX, ensuring seamless functionality across systems. - Architect and implement real-time, multi-threaded event-driven systems that meet scalability and performance requirements. - Leverage your deep knowledge of Windows Internals to build high-level, robust solutions for system-level programming. - Mentor and guide development teams, sharing best practices for software design, coding, and testing. - Drive the adoption of modern development methodologies and continuous improvement in the software development lifecycle. - Ensure that software is optimized for performance, scalability, and long-term maintainability. - Identify and address software bottlenecks and optimize code to meet stringent performance metrics. Build Engineering Responsibilities : - Spearhead the creation and optimization of complex build and release automation pipelines using Makefile scripting, InstallShield, and related tools. - Own and drive the build and deployment processes to ensure smooth integration across environments and teams. - Lead the management of Perforce version control, enforcing best practices for source code management and versioning. - Establish and improve Continuous Integration (CI) and Continuous Deployment (CD) pipelines to streamline development and deployment workflows. - Troubleshoot complex build and release issues, providing timely resolutions and root cause analysis. - Collaborate with cross-functional teams to ensure the build system integrates seamlessly with development workflows and deployment processes. - Develop strategies for optimizing build performance, reducing build times, and improving system reliability. - Provide leadership and mentoring for junior engineers working on build and release systems. Requirements : - Extensive experience with C++, C#, and .NET development, with a strong track record of software design and architecture. - Expertise in COM and ActiveX technologies for low-level system integration. - Proven experience designing and building real-time, multi-threaded event-driven systems. - Deep understanding of Windows Internals and experience building system-level software. - Expert in Makefile scripting, build automation tools, and optimizing software builds. - Strong experience with Perforce or similar version control systems. - Experience creating and maintaining CI/CD pipelines for continuous software delivery. - Strong leadership skills with a proven ability to mentor, guide, and influence technical teams. - A proactive, problem-solving mindset, with the ability to resolve complex technical issues. - Excellent communication skills and the ability to interact with cross-functional teams and stakeholders. - Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience). Preferred Qualifications : - Experience with Jenkins, TeamCity, Bamboo, or other CI/CD tools. - Familiarity with cloud-based environments or virtualization technologies. - Knowledge of containerization (e.g., Docker, Kubernetes) and related technologies. - Expertise in cross-platform development and optimization. - Strong understanding of software release management and deployment best practices.

As Manager, Systems Engineering of Peritoneal dialysis department within Renal business, expected to deliver to the department vision that aligns with the organization's vision or strategic plan. Based on significant technical expertise, reviews and approves complex design concepts and provides general direction to technical staff. Utilizes solid understanding of theories and practices of a variety of disciplines to manage complex projects or programs within boundaries of quality, time and budget. Acknowledged outside of business unit or division for input on programs of some magnitude. Exhibits creativity and innovation in completing divisional and cross-functional/business unit responsibilities. Role & responsibilities : Effectively communicate and realize vision and strategy for the organization that aligns with the business and patient needs. Ability to lead technical team in the group that ensures clear accountability and operational excellence. Ensures that succession planning and talent pipeline is in place for the team members across multiple functions and/or technical disciplines. Leverage partnerships effectively with cross functional teams including the business unit, quality, program management, manufacturing, regulatory, medical and clinical to achieve business results. Establish processes for effective resource management from planning through execution in close collaboration with program management. Foster an environment where mentoring, coaching, career growth and progression, and employee development are critical focus areas. Create a culture and environment that attracts, develops, retains, and grows diverse and top talent aligned with organizational strategy. Ensure effective performance management. Applies knowledge of medical device lifecycle management to effectively drive specific phases of product development and sustainability with high quality and predictability of timeline and budget. Demonstrates understanding of and adherence to FDA, ISO and IEC design control procedures, regulations and standards and ensures appropriate design controls are being adhered to during sustaining engineering efforts and new product development. Takes ownership for the continuous improvement initiatives within the assigned function in alignment with business needs. Identifies and builds technical competencies and system approach to realize all aspects of product development including innovation/ideation. Drives effective collaboration with external partners. Lead the development and integration of project System deliverables which may cross several disciplines; evaluate alternatives against agreed criteria. Coach the team to select solutions, assess risks and for understanding full range of implications across the system. Review and analyze proposals to determine if benefits derived and possible applications meet quality, cost and performance with future roadmap and sustenance considered. Qualifications / Experience and/or Background Bachelors in Electronics or Electrical or Mechanical Engineering or Computer Science or any other relevant engineering discipline, Masters preferred, 12+ years of experience including 2+ yrs of functional leadership experience. Must be well versed in engineering disciplines Must possess knowledge of related disciplines. Knowledge of GMPs, FDA guidelines, purchasing practices and process validation. Must be self-motivated, have good interpersonal skills, capable of analyzing and solving complex problems through innovative thought and experience. Ability to manage multiple cross-functional teams simultaneously. Ability to design and influence outside of immediate scope of responsibility. Maintain industry contacts and be involved in industry interest groups. Proven track record of management/leadership effectiveness

A career at HARMAN Automotive offers you the opportunity to be part of a global, multi-disciplinary team dedicated to harnessing the power of technology to shape the future. You will have the chance to engineer audio systems and integrated technology platforms that enhance the driving experience. Through a combination of innovation, thorough research, collaboration, design, and engineering excellence, you will contribute to the advancement of in-vehicle infotainment, safety, efficiency, and enjoyment. As a Principal Engineer / Software System Architect in the Connectivity division at HARMAN Automotive, you will play a key role in developing automotive embedded software with a focus on telematics. Your responsibilities will include defining and maintaining the architecture for on-board telematics units, leading system design and integration, ensuring compliance with automotive standards, and working hands-on with embedded software technologies such as C/C++, RTOS, and Linux. You will drive the development of secure, reliable, and scalable solutions for connected vehicles. To excel in this role, you should possess at least 14 years of experience in automotive embedded software with a strong background in system architecture for telematics. Deep knowledge of vehicle networks, proficiency in C/C++, RTOS, Linux/Android Automotive platforms, familiarity with connectivity modules, antenna systems, hardware-software integration, debugging skills, and experience in cybersecurity and secure communication for connected vehicles are essential requirements. Additionally, strong communication, documentation, problem-solving, and integration skills are crucial for success in this position. HARMAN Automotive offers a range of benefits and opportunities to its employees, including a flexible work environment with global remote work options, employee discounts on Harman and Samsung products, extensive training through HARMAN University, wellness benefits, tuition reimbursement, employee recognition programs, and an inclusive work environment that fosters personal and professional development. At HARMAN, every employee is valued, empowered, and encouraged to bring their unique perspective and ideas to the table. The company is committed to creating a supportive culture where diversity is celebrated, learning is encouraged, and employees are empowered to pursue the career they desire. HARMAN's legacy of innovation spans decades, with a focus on creating technology platforms that enhance safety, connectivity, and overall experiences in automotive, lifestyle, and digital transformation solutions. By marketing products under renowned brands such as JBL, Mark Levinson, and Revel, HARMAN sets itself apart by exceeding engineering and design standards to deliver exceptional solutions to customers, partners, and the industry as a whole.,

This is an excellent opportunity to join Cisco's Unified Computing Systems (UCS) team working in Cisco's Data Center space. The Cisco UCS Rack Server is a compact, high-density server optimized for performance and efficiency, suitable for various applications such as virtualization and bare-metal workloads. This server can function as a standalone unit managed by Cisco Intersight or UCS Manager, demonstrating the full range of Cisco's unified computing benefits and enhancing business agility. Our team values open communications, empowerment, innovation, partnership, and customer success as foundational principles. You will collaborate with the Computing Systems product group, a global organization encompassing development, sqa, tme, product management, and program management teams. This group is responsible for delivering innovative end-to-end configurations for rack and blade servers, from firmware revisions to i/o connectivity, enabling sophisticated data centers as a service (ITaaS). The current product portfolio includes unified computing servers, both blade and rack models, and UCS management software that simplifies access and control of the complete end-to-end solution. As part of the UCS validation team at Cisco, Bangalore, you will have the opportunity to work with the latest technologies and trends in server and storage areas. The role involves validating the Cisco c-series and s-series rack BMC, debugging and solving issues, performing first-level issue triage, studying industry specifications and vendor hardware documentation, and designing test cases. We are looking for an SQA Engineer with 3-5 years of experience specializing in rack or blade server validation. The ideal candidate should possess hands-on experience in server BMC validation, knowledge in CPU/memory/PCI subsystems, understanding of Intel/AMD server platforms, nvme, gpus, system architecture, operating systems concepts, third-party adopters, configuration utilities, and automation scripting in languages like Tcl, expect, and python. At Cisco, we are committed to developing innovative technology to power a more inclusive, digital future for everyone. We value diversity, equality, and inclusivity, and we support each other in achieving collective success. Our inclusive communities bring people together around commonalities or passions, fostering a culture of learning, listening, and caring for our communities. Join us in making the world a better place through technology and collective efforts. Be yourself at Cisco and contribute to our mission of creating a more inclusive future.,

As a Senior Associate Information Security Analyst at NTT DATA, you will play a crucial role in designing and implementing security systems to safeguard the organization's computer networks from cyber-attacks and ensuring compliance with industry standards. Your responsibilities will include monitoring security alerts, investigating potential threats, installing security software, and documenting any security issues or breaches found. You will be actively involved in implementing and monitoring security controls such as firewalls, intrusion detection systems, and access controls. Conducting regular vulnerability assessments, analyzing scan results, and assisting in prioritizing and remediating identified vulnerabilities will be part of your daily tasks. Additionally, you will support the incident response team in investigating security incidents, documenting findings, and participating in remediation efforts. Your role will also involve installing security measures, operating software to protect systems and information infrastructure, documenting security breaches, and assessing the damage they cause. You will collaborate with the security team to perform tests, uncover network vulnerabilities, and maintain a high-security standard by fixing detected vulnerabilities. Furthermore, you will contribute to security awareness initiatives by creating training materials, conducting workshops, and educating employees about best security practices. Staying abreast of information technology trends and security standards, researching security enhancements, and making recommendations to management will also be part of your responsibilities. Key Requirements: - Bachelor's degree or equivalent in information security, cybersecurity, computer science, or related field. - Security certifications such as CompTIA Security+, CISSP, or CISM are advantageous. - Moderate level of demonstrated experience in information security or cybersecurity. - Proficiency in network penetration testing, security assessment, and vulnerability scanning tools. - Familiarity with security frameworks, standards, and regulations. Attributes: - Strong communication skills to convey technical information effectively. - Analytical thinking and problem-solving skills to prevent network hacking. - Ability to identify, evaluate, and mitigate potential risks. - Understanding of firewalls, proxies, SIEM, antivirus, and IDPS concepts. - Proficiency with MAC and OS. - Basic understanding of network and system architecture, security controls, and protocols. NTT DATA is a trusted global innovator in business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. As a Senior Associate Information Security Analyst, you will be part of a diverse and inclusive workplace that fosters growth, belonging, and collaboration. Join us in making a difference and pushing the boundaries of what is possible in the world of information security.,

As a Presales Product Architect at Shaiva Group, you will play a crucial role in designing software solutions and developing system architectures to meet the needs of our clients. Your responsibilities will include managing products, creating comprehensive solution architectures, and providing technical guidance to the sales team. You will engage with clients to understand their requirements, define product specifications, and lead product development efforts. Your expertise in Software Development, Product Management, System Architecture, and Solution Architecture will be essential in delivering exceptional value to our clients. To excel in this role, you should possess excellent communication and interpersonal skills, along with the ability to collaborate effectively with cross-functional teams. Proficiency in product sales, pitch decks, and business presentations will be key to success in this position. A background in the fintech, biotechnology, or real estate industry would be advantageous. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required to qualify for this full-time on-site position located in Hyderabad. If you are passionate about leveraging cutting-edge technology to empower businesses and drive success in different industries, we invite you to join our team at Shaiva Group. Your dedication to ensuring the satisfaction and success of our clients through tailored product offerings will contribute to our mission of delivering innovative solutions and exceptional value.,