Top Software Engineer Jobs in India

Provides Tier 1 Salesforce platform support by managing tickets, troubleshooting user issues, monitoring errors, performing data loads and maintenance, and escalating complex problems. Assists with Salesforce configuration, permissions, QA smoke and regression testing, defect tracking, requirements refinement, and process documentation. Collaborates with business and technical teams to maintain data integrity, resolve production issues, and improve operational workflows.

Administer and automate developer tooling and CI/CD systems (GitHub Actions, Runners, JFrog Artifactory/Xray). Configure code quality and testing tools (GitHub Code Quality/Codacy, Sauce Labs, BlazeMeter), develop custom integrations and automation scripts, analyze license usage and metrics, collaborate with teams, and meet MTTS targets.

Leads software design, development, troubleshooting, code review, architecture evaluation, automation, and operational stability initiatives. Guides adoption of AI-assisted engineering practices, establishes secure validation standards, evaluates technology solutions, drives communities of practice, and mentors teams on responsible AI use. Requires advanced Java and enterprise application expertise, architectural knowledge, and ownership of business outcomes.

Build and ship software rapidly within an advanced technology team. Responsibilities include working across TypeScript/Node.js, Go, and Python; modifying unfamiliar codebases; writing reliable CI tests; publishing and versioning CLIs, SDKs, or packages; and debugging integrations involving third-party APIs, external services, and CI runners.

Designs and maintains automated test frameworks and suites for functional, regression, integration, smoke, canary, API, and performance testing. The role validates distributed financial systems, simulates market events, investigates failures, performs root-cause analysis, and promotes QA best practices across the software development lifecycle. It collaborates with engineering, product, and analyst teams to improve automation scalability, coverage, reliability, and compliance in regulated FinTech environments.

Leads complex, large-scale software engineering initiatives and develops secure Java full-stack applications. Designs, codes, tests, debugs, documents, and reviews technology solutions; establishes engineering, Agile, DevOps, and cloud-native standards; and contributes to modernization through APIs and microservices. Provides architectural guidance, makes technical decisions, conducts code reviews, mentors junior developers, and coordinates developers and QA engineers to deliver production-ready software. Collaborates with technical leaders and stakeholders while supporting banking-domain technology objectives.

Lead software engineering initiatives and large-scale technical planning. Design, develop, test, debug, document, upgrade, and deploy complex Java full-stack applications using Spring, microservices, cloud platforms, and modern UI frameworks. Resolve technical challenges, review solutions, lead projects, support compliance requirements, and guide less experienced engineers. Collaborate with peers and managers while addressing performance, scalability, integration, and client needs.

Designs, develops, tests, and delivers scalable system software supporting automation initiatives. Builds microservices and APIs, contributes to architectural decisions, collaborates with product, QA, and engineering teams, and implements CI/CD pipelines. The role requires experience with Golang, Java, or Python; Kubernetes and Docker; and DevOps tools including Jenkins and Git. Preferred experience includes public cloud platforms, databases, and emerging AI technologies.

Supports Coupa audit, SOX/ITGC compliance, access reviews, configuration change tracking, and audit evidence collection. Executes Coupa workflow, approval, and role changes; troubleshoots application and access issues; supports regression testing and documentation. Collaborates with senior engineers, Finance, Procurement, auditors, product managers, and business stakeholders in an Agile environment, escalating complex integration or production issues as needed.

Lead development of ChampionAI’s core platform, MCP tool server, multi-agent infrastructure, and production AI agents. Design and deliver enterprise-scale features, optimize cloud-native architectures, resolve complex technical issues, and guide cross-team implementation. Conduct architectural and code reviews focused on prompts, security, scope, and deployment. Partner with DevOps and Cloud teams on Kubernetes, databases, feature flags, and rollouts while mentoring engineers and establishing engineering standards.

Develop and maintain Java enterprise applications using Spring Boot, REST APIs, and microservices. Translate business requirements into technical designs, integrate databases and third-party systems, write optimized SQL, and collaborate with DevOps and business analysts. The role requires Java application development experience, PostgreSQL, GitHub workflows, object-oriented design, debugging, and Agile/Scrum familiarity. RabbitMQ, Docker, Kubernetes, and Jasper Reports experience are preferred.

Develop production-grade software using AI as a primary engineering partner. Convert requirements into prompts, implementation plans, and acceptance criteria; generate and validate AI-assisted solutions; identify hallucinations, security issues, logic gaps, and incorrect assumptions; create automated tests; and ensure architecture, performance, maintainability, documentation, and production readiness. Build reusable AI development workflows, collaborate across technical teams, document decisions, and help engineers adopt AI-native practices.

Develop production-grade software using AI as a primary engineering partner. Translate requirements into prompts, implementation plans, acceptance criteria, and AI-generated solutions; validate outputs for correctness, security, maintainability, and performance. Create automated tests, reusable prompt templates, documentation, and AI-native workflows. Collaborate with product, QA, DevOps, architecture, and security teams, while guiding engineers in adopting AI-assisted development practices.

Design and build distributed systems while mentoring junior engineers. Own platform reliability and contribute to the development of key software features.

Provides technical consulting for Vistex GTMS implementations, including configuring fields and data models, preparing templates, loading data, developing custom enhancements, building interfaces, testing, quality assurance, troubleshooting, and customer documentation. Collaborates with functional consultants, offshore development teams, product development, and customers while learning Vistex products and delivering project work on schedule.

Own the architecture and delivery of an AI-assisted Nintex-to-Power Automate migration platform. Design LLM agents, prompts, evaluation harnesses, RAG or classification pipelines, parsers, and Azure integrations. Lead model selection, security, quality, migration risk, stakeholder management, and customer escalations. Develop Node.js/TypeScript or Python conversion engines, integrate APIs and authentication flows, validate workflow conversions, and mentor a 3–8 person AI and automation engineering team.

Administer, configure, optimize, and integrate the Codebeamer ALM platform in a regulated product development environment. Responsibilities include managing workflows, permissions, traceability, reporting, data migration, integrations, DevOps support, and ALM metrics. The role partners with software, systems, quality, regulatory, and IT teams to support compliant lifecycle management and engineering processes.

Develop and maintain high-throughput Java and Spring Boot microservices supporting millions of IoT devices. Build secure REST APIs, event-driven systems, scalable MongoDB solutions, and AWS-based containerized deployments. Own features from design through production monitoring, contribute to architecture and reliability improvements, troubleshoot incidents, and maintain strong test coverage. Collaborate in agile development while using AI-powered tools to improve coding, testing, reviews, planning, and debugging.

Designs, develops, customizes, integrates, and supports enterprise solutions using Microsoft Dynamics 365, Power Platform, Power Apps, and Dataverse. The role involves configuring business applications, automating processes, troubleshooting, optimizing performance, collaborating with stakeholders, and promoting low-code/no-code development. Candidates should have a .NET development background, strong Dynamics 365 and Power Platform expertise, and at least five years of experience.

Lead ETL and data management engineering for a financial wellbeing platform. Design, build, configure, and implement front- and back-end changes, data transformation workflows, integrations, and database solutions. Ensure operational stability, resilience, data quality, and performance through SQL optimization, testing, validation, peer reviews, and DevOps practices. Provide domain expertise, estimate simple changes, mentor colleagues, and collaborate across engineering and architecture teams.

Develop scalable frontend and backend systems using .NET, Node.js, React, and Next.js while applying an AI-first, specification-driven workflow. Responsibilities include creating technical specifications and API contracts, using AI tools to generate and test code, developing REST and GraphQL APIs, reviewing AI-generated outputs for security and quality, automating engineering processes, and documenting architecture and reusable prompt frameworks.

Design, develop, and maintain scalable distributed storage systems across bare-metal, AWS, and hybrid-cloud environments. Lead high-impact engineering initiatives, architectural decisions, technical standards, incident analysis, and reliability improvements. Build AI-augmented systems, mentor engineers, and represent engineering in cross-functional planning. The role requires expertise in Java, storage technologies, distributed systems, secure SDLC, performance engineering, and large-scale data platforms.

Develops production-quality backend software for defined product components and features. Responsibilities include designing scalable and secure systems, writing maintainable code, testing, participating in code reviews, supporting CI/CD, monitoring operational health, responding to incidents, maintaining documentation, and collaborating with Product and Engineering teams. The role also contributes to technical debt reduction, delivery improvements, and mentoring junior engineers under guidance from senior engineers.

Develop and maintain scalable, reusable frontend code for complex SaaS applications. Design responsive user interfaces, integrate securely with backend services, participate in architecture discussions, own feature delivery, mentor junior engineers, conduct code reviews, test and debug applications, optimize performance, and collaborate with product and design teams. The role requires expertise in React, Next.js, TypeScript, JavaScript, HTML, CSS, testing frameworks, browser technologies, cloud services, and responsive UX.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.