Total 45 Engineering job vacancies in bengaluru

The Opportunity:

We, at Flywire, are looking for an experienced Sr. Software Engineer I, ideally with a background in FinTech. Your primary responsibility will be to build and maintain the platform that supports the money movement of our industry leading payment engine moving hundreds of millions everyday. 

You will be joining a team in charge of designing new functionalities and improving the current capabilities to improve speed, cost and scalability of our product. Thus, a commitment to collaborative problem solving, pragmatic design, building quality products and to convey the sensation that the product is the responsibility of all the team is essential. You will be responsible for ensuring high quality code in a team defined timeframe. 

• Write clean, high quality, testable, secure, maintainable and extendable code
• Solve items such as challenging bugs and production issues within the development environment
• Work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results
• Understand scalability and performance status and make improvement for scalability
• Drive change and improvement in all phases of the development lifecycle
• Partake in the recruitment process by identifying and exciting great talent
• Ensure the best possible performance, quality, and responsiveness of the applications
• Contribute to the product vision by collaborating with Product Managers and stakeholders
• Drive initiatives to lead projects as well as mentor team members
• Drive AI readiness and adoption — leverage Claude via AWS Bedrock for AI-assisted development, intelligent code review, automated documentation, and smart observability across payment workflows
• Use AWS Bedrock's enterprise controls (IAM, CloudWatch, VPC, audit logs) to ensure AI usage within the platform remains secure, compliant, and observable
• Partner with Product, SRE, and global stakeholders to translate complex, high-stakes requirements into robust engineering outcomes

The Opportunity: 

We're looking for an experienced Backend Software Engineer, ideally with a background in FinTech, to help build and maintain the platform that powers Flywire's industry-leading payment engine — processing hundreds of millions of dollars every day.

You'll join a team designing new functionality and improving existing capabilities to enhance speed, cost efficiency, and scalability. We value collaborative problem-solving, pragmatic design, and a shared sense of ownership over what we ship. If you care deeply about code quality and want your work to have real-world financial impact, this role is for you.

Responsibilities:

• Write clean, testable, secure, maintainable, and extensible backend code across payment processing systems
• Investigate and resolve complex bugs and production issues with precision and care
• Work on non-trivial engineering problems that require deep evaluation of data, system behavior, and tradeoffs
• Understand and improve application scalability and performance proactively
• Contribute to technical design discussions and propose pragmatic solutions in line with team standards
• Collaborate with Product Managers, QA, SRE, and business stakeholders to deliver high-quality outcomes
• Support and participate in the hiring process by helping identify and engage strong engineering talent
• Drive AI readiness and adoption — leverage Claude via AWS Bedrock for AI-assisted development, intelligent code review, automated documentation, and smart observability across payment workflows
• Use AWS Bedrock's enterprise controls (IAM, CloudWatch, VPC, audit logs) to ensure AI usage remains secure, compliant, and fully observable within production environments

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Represents Package Engineering in cross-functional teams and ensures that packages are characterized, qualified, and introduced into production in a timely manner while meeting all mechanical, electrical, performance, reliability, and quality requirements.        
• Lead cross-functional teams, factories, and other engineers while managing the entire package life cycle process.          
• Works with the Packaging R&D teams worldwide to develop and qualify new and emerging packaging technology required to support business needs
• Support assembly yield improvement and package cost reduction programs.  
• Lead new product from low volume to high volume production transition with yield and quality meeting goals. Ensure FMEA, SOD, Control Plan, recipe guideline, SPC and other assembly controls are ready prior to high volume production.
• Work on innovative ideas for best-in-class package design.

Ensure software quality by designing test plans, creating test cases, performing manual/automated tests, and debugging issues.

Key Responsibilities

• Testing: Design, implement, and execute manual and automated test cases.
• Defect Management: Identify, log, and verify software bugs using tools such as JIRA.
• Collaboration: Work with developers to resolve issues and ensure software meets requirements.
• Quality Standards: Ensure software meets usability and performance standards.
• Environment Setup: Set up and manage test environments.

Key Skills & Qualifications

• Technical Skills: Knowledge of SQL, C#, and API testing.
• Automation Tools: Experience with Selenium, JMeter, or similar tools.
• Methodologies: Understanding of Agile/Scrum and software development life cycles (SDLC).
• Soft Skills: Strong analytical, problem-solving, and communication skills.

Tools

• Bug Tracking: Azure DevOps, JIRA.
• Automation: Selenium, Postman, JMeter.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

Productivity Engineering builds products that power LinkedIn’s core business processes, including finance, sales, and customer operations. We deliver systems that enable seamless transactions, improve operational efficiency, and support business growth.

We are looking for a Techno-Functional QA Engineer to join our Finance Engineering team. In this role, you will ensure the quality, reliability, and integrity of financial systems and their integrations. You will partner closely with engineering, product, and finance teams to validate complex business workflows and deliver high-quality, reliable releases.

Responsibilities

• Own the end-to-end testing strategy and quality validation for Oracle EBS QTC systems and integrations.

• Validate Quote-to-Cash workflows, including:

  • Quote creation, pricing, and approvals

  • Order management and fulfillment lifecycle

  • Billing and invoice generation

  • Cash application and collections

  • Revenue recognition and reporting

• Ensure data accuracy, reconciliation, and consistency across systems, including validation between Order Management, Accounts Receivable, and General Ledger.

• Validate pricing, discounting, tax calculations, and billing logic across complex transactional scenarios.

• Test and validate integrations with external systems, including:

  • Order capture and CRM platforms

  • Checkout and payment processors

  • Billing and revenue systems

• Perform API testing, SQL-based backend validation, and data reconciliation across upstream and downstream systems.

• Develop and maintain test automation frameworks (UI, API, and data layers) integrated with CI/CD pipelines.

• Validate high-volume transactional systems impacting revenue, ensuring performance, reliability, and correctness.

• Follow established change, release, and deployment governance, ensuring appropriate test coverage and quality gates.

• Conduct test reviews, defect triaging, and root cause analysis to maintain high-quality standards.

• Collaborate with cross-functional teams (Engineering, Product, Finance, Operations) to ensure end-to-end validation of financial workflows.

• Support production validation, monitoring, and post-deployment verification to ensure ongoing system reliability.

• Drive continuous improvement through test optimization, automation, monitoring, and reduction of manual validation efforts.

• Ensure compliance with financial reporting requirements by validating audit trails, reconciliation processes, and revenue accuracy. 

We seek an experienced IT professional to join us as a Staff Site Reliability Engineer, working in the Product Reliability Engineering function who will:

• Perform day-to-day site reliability engineering functions including Maintenance and incident resolution for all Debit applications, products, and services – including debit, prepaid and risk lines of business.
• Perform ongoing/Proactive analysis of various debit authorization, Api and UI based applications to detect potential problems and actively engage & facilitate the discussion to find the best possible solution.
• Work under the Guidance of technical subject matter experts and be point of contact for key DPS projects.
• Work closely with service partners such as product development, engineering teams to seamlessly implement the innovative solutions to improve the reliability, scalability, and efficiency.
• Contribute towards automating the routine tasks and processes to improve overall efficiency and reduce human errors.
• Actively participate in troubleshooting activities and SWAT calls and drive investigation towards swift resolution.
• Participate in the Major Problem Review discussions, drive the root cause analysis, identify the gaps, and come up with innovative preventive measures.
• Mentor junior team members and foster a culture of continuous improvement in the team through retrospectives and open feedback.
• Build comprehensive and robust documentation repositories that can facilitate knowledge transfer among DPS PRE and DPS Global Operations peers.
• Implement innovative GenAI and machine learning trends to continuously optimize the application reliability and efficiency.  
• Work with observability team to design and implement the modern visa observability solutions such as Anomaly detection, operations intelligent platform (OIP), Fault Isolation tool (FIT) across all DPS products.
• Provide on-call support in 12*7 model.   
• Self-motivated, and have excellent interpersonal and communication skills.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce.   We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people.   While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.     

The Opportunity: 

We are seeking a GenAI Architect / Sr Consultant, Software Engineer (I6.5) who is both a hands-on full-stack engineer and a team leader capable of designing, developing, and deploying GenAI‑powered applications. You will manage and mentor an engineering team while delivering scalable AI systems that integrate with Visa’s product ecosystem, developer platforms, and internal operational tools.

This role blends architecture, leadership, full-stack development, cloud engineering, and GenAI frameworks.  As a Visa Lead Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.   

The Work itself: 

• Global Operations holds the responsibility of ensuring Visa’s diverse portfolio of commercial services are performing optimally, meeting stringent availability targets and exceeding our clients’ expectations.  
• By architecting automation and GenAI into our operational DNA, and deeply embedding AIOps into our strategic foundation, Global Operations, the engine room of production operations, is well positioned to think big, act quickly and innovate with intention. 
• Working with highly integrated, high-throughput systems, an equally high importance must be placed on robust observability, intelligent event detection and incident management.  
• Global Operations sets the operational standards to support the business demands of today and the operational needs of tomorrow as technologies continue to evolve and adjust the way we work to support the business.  
• Through blame free post mortems, intellectual curiosity and problem solving we turn reactive into proactive and create an environment that provides the support and mentorship for our team members to learn and grow. 

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Our project is to provide visual solution to investigate and query all data from our platform for customers using Nexthink Query Language (NQL) behind the scene hiding the complexity of the language. For that we developed Visual Editor, Rich data table with actions over data, and for more advanced queries we provide NQLEditor build on top of Monaco Editor.

Our technology stack:

Java, Micronaut Framework, ReactJs/Typescript, GraphQl, RestAPI, gRPC….

• Design, implement, deliver and validate product features
• Help improving the team architecture, design and development best practices
• Handle L3 support requests (together with the rest of the team)
• Participate actively in the technology roadmap
• Work with the agile iterative/incremental mindset and best practices and participate actively to the different ceremonials

Job Description: 

• Should be good in understanding the PCB board’s w.r.t layout schematics and information about the various active and passive components on the PCB.
• Good hands on BOM analysis and report preparation.
• Excellent debugging and Failure Analysis skills with exposure to tools like protocol analysers, Logical analysers, CRO etc. Should be good at reproducing and root causing the issues.
• Good Power analysis and Power tree Distribution Reverse engineering skills
• Good to have Experience in Storage Domain.
• Good to have Knowledge on the PCB Construction and Assembly details
• Good Experience in System level activities for hardware design and validation.
• Good to have Experience working with Flash memory technologies and internals.
• Good to have Experience in NVMe, SD/uSD, USB or PCIE protocols understanding.
• Mindset towards delivering the Highest Quality product to the customer.
• Must be execution focused, have zeal to learn more and do more. Take initiatives.
• Proven ability to achieve results in a fast moving, dynamic environment.
• Should be good team player, approachable with to do attitude.

Duties:

• Solve highly complex technical problems and deliver innovative, scalable, and maintainable solutions with minimal supervision.
• Implement architectural patterns and design standards, collaborating closely with key stakeholders to ensure adherence to defined architecture and best practices.
• Champion efficient and effective software development methodologies aligned with Agile and Lean principles, fostering continuous learning, collaboration, and iterative improvement.
• Contribute hands-on to development by designing, coding, reviewing, and optimizing critical software components and services.
• Drive adoption of DevOps practices and toolchains with a strong emphasis on automation, continuous integration, continuous deployment, and proactive operational monitoring.
• Embed security, reliability, scalability, and performance considerations into architecture, design, and development processes as non-negotiable quality attributes.
• Demonstrate deep expertise in modern platforms, frameworks, and tools, leveraging open-source technologies and open standards where appropriate to optimize cost and flexibility.
• Promote and enforce secure coding practices and the integration of security controls throughout the Software Development Life Cycle (SDLC).
• Serve as a technical bridge between engineering, QA, and other teams to design efficient testing strategies and enable high-quality, innovative delivery outcomes.

Duties:

• Solve highly complex technical problems and deliver innovative, scalable, and maintainable solutions with minimal supervision.
• Implement architectural patterns and design standards, collaborating closely with key stakeholders to ensure adherence to defined architecture and best practices.
• Champion efficient and effective software development methodologies aligned with Agile and Lean principles, fostering continuous learning, collaboration, and iterative improvement.
• Contribute hands-on to development by designing, coding, reviewing, and optimizing critical software components and services.
• Drive adoption of DevOps practices and toolchains with a strong emphasis on automation, continuous integration, continuous deployment, and proactive operational monitoring.
• Embed security, reliability, scalability, and performance considerations into architecture, design, and development processes as non-negotiable quality attributes.
• Demonstrate deep expertise in modern platforms, frameworks, and tools, leveraging open-source technologies and open standards where appropriate to optimize cost and flexibility.
• Promote and enforce secure coding practices and the integration of security controls throughout the Software Development Life Cycle (SDLC).
• Serve as a technical bridge between engineering, QA, and other teams to design efficient testing strategies and enable high-quality, innovative delivery outcomes.

Job Description: 

• Should be good in understanding the PCB board’s w.r.t layout schematics and information about the various active and passive components on the PCB.
• Good hands on BOM analysis and report preparation.
• Excellent debugging and Failure Analysis skills with exposure to tools like protocol analysers, Logical analysers, CRO etc. Should be good at reproducing and root causing the issues.
• Good Power analysis and Power tree Distribution Reverse engineering skills
• Good to have Experience in Storage Domain.
• Good to have Knowledge on the PCB Construction and Assembly details
• Good Experience in System level activities for hardware design and validation.
• Good to have Experience working with Flash memory technologies and internals.
• Good to have Experience in NVMe, SD/uSD, USB or PCIE protocols understanding.
• Mindset towards delivering the Highest Quality product to the customer.
• Must be execution focused, have zeal to learn more and do more. Take initiatives.
• Proven ability to achieve results in a fast moving, dynamic environment.
• Should be good team player, approachable with to do attitude.

Role Summary:

We are seeking a Software Engineer to contribute to the development of AI/ML software for our AI Privacy Box platform. This role involves implementing and optimizing LLM and RAG workflows, with a focus on efficient use of storage and system resources.

Key Responsibilities:

• Develop AI/ML software components for the AI Privacy Box platform.
• Implement and integrate LLM and RAG models into the software stack.
• Work on performance optimization of AI workloads using storage and system‑level techniques.
• Contribute to system software components interacting with OS, memory, and I/O subsystems.
• Collaborate with senior engineers on architecture, design, and optimization.
• Debug, test, and maintain high‑quality, production‑ready code.

Required Skills:

• Knowledge of Machine Learning and AI/ML fundamentals.
• Exposure to LLMs and RAG concepts or frameworks.
• Proficiency in C and/or C++.
• Understanding of Operating Systems concepts.
• Strong knowledge of Data Structures and Algorithms.

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us, you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. 

Payment Products Development Team (PPD) under Visa Technology Org is building a new generation of digital and secured products to facilitate commerce in everyone’s digital and mobile lives. Our focus is to build intuitive features that expose profound new value for our customers, merchants and developers.

As Staff Software Engineer within Visa, you will form an integral role in the design, development, testing and deployment of complex solutions that process millions of transactions per day worldwide. We are looking for experienced stars to solicit input from business and technology stakeholders across the enterprise and be responsible for the quality of large-scale technology initiatives.

You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays.

Responsibilities:

• Work as a member of a team responsible for designing, coding, testing and maintaining Visa's payment products.
• Lead the design for the applications you own. Contribute expertise for other application by participating in review sessions.
• Contribute to enhancements and changes to existing applications codebase.
• Develop code that complies with design specifications and meets security and Java/J2EE best practices. Use industry standard design patterns where applicable.
• Create code that is easily maintainable and have high system performance.
• Collaborating with Product, Test, Dev-ops, and other Agile/Scrum teams.
• Utilize GenAI tools to enhance software development processes & Productivity, including code generation, optimization, and testing.
• Collaborate with cross-functional teams to integrate AI solutions (LLMs/MCPs) into existing systems and workflows.
• Create documentation and procedures for installation and maintenance. Work with operations team for any production issues.
• Identify opportunities for future enhancements and refinements to standards, best practices, design patterns and development methodologies.
• Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions
• Work closely with project team and other groups (e.g. Platform, Ops, Release Engineering/Management).
• Participate in design and code review sessions to ensure the quality of work delivered by self and teammates are in accordance with development standards.
• Interact with business units to define requirements/modifications and use case to utilize in designing appropriate solutions. Ask question to understand what and why and then decide the how.
• Adapt quickly to new application knowledge and changes. Complete proof of concepts and other technical evaluations of technologies, designs and solutions
• Work in a loosely structured, fast-paced organization.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Role Summary:

We are seeking a Software Engineer to contribute to the development of AI/ML software for our AI Privacy Box platform. This role involves implementing and optimizing LLM and RAG workflows, with a focus on efficient use of storage and system resources.

Key Responsibilities:

• Develop AI/ML software components for the AI Privacy Box platform.
• Implement and integrate LLM and RAG models into the software stack.
• Work on performance optimization of AI workloads using storage and system‑level techniques.
• Contribute to system software components interacting with OS, memory, and I/O subsystems.
• Collaborate with senior engineers on architecture, design, and optimization.
• Debug, test, and maintain high‑quality, production‑ready code.

Required Skills:

• Knowledge of Machine Learning and AI/ML fundamentals.
• Exposure to LLMs and RAG concepts or frameworks.
• Proficiency in C and/or C++.
• Understanding of Operating Systems concepts.
• Strong knowledge of Data Structures and Algorithms.