Top Software Engineer Jobs in India

Develops and supports secure distributed software applications using Microsoft .NET technologies. Responsibilities include system analysis, solution design, estimation, programming, database development, API and microservices work, project delivery, application support, risk communication, and technical issue resolution. The role collaborates with technical and project managers, contributes to Agile delivery, and mentors less experienced developers while promoting continuous improvement and professional growth.

Build, maintain, test, and deploy scalable C#/.NET Core applications and RESTful APIs. Troubleshoot, optimize, and improve platform modules, collaborate with cross-functional teams, and support roll-outs and integrations.

Develop and maintain Python-based FastAPI services and REST APIs within secure, scalable, event-driven Azure microservices architectures. Design technical solutions, troubleshoot production issues, perform root-cause analysis, support CI/CD and automation, and improve reliability, performance, security, and SaaS cost efficiency. Participate in agile ceremonies, code reviews, incident management, mentoring, and technical roadmap development while collaborating with engineering, product, operations, and project teams.

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.

Lead development of cloud-native, microservices-based back-end systems and production-grade data pipelines (batch and streaming). Design scalable Big Data solutions, ensure data quality and observability, partner with product teams, support production lifecycle and incidents, and apply SDLC and AI-assisted engineering tools to improve automation and delivery.

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 and develops integrations between indirect procurement platforms and SAP AFS/S4HANA, covering purchase orders, goods receipts, invoices, and remittances. Troubleshoots production integration issues, develops or modifies interfaces, supports Coupa testing and regression activities, documents audit and configuration records, and participates in Agile ceremonies. The role partners with engineers, finance, procurement, product, and platform teams while applying Procure-to-Pay and Source-to-Pay process knowledge.

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.

Support Coupa audit, ITGC/SOX compliance, access reviews, configuration change tracking, evidence collection, and application troubleshooting. Assist with Coupa workflows, approvals, role management, enhancements, testing, and production support. Collaborate with senior engineers, Finance, Procurement, audit, identity management, and business teams while maintaining audit documentation and participating in Agile delivery.

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.