Top Software Engineer Jobs in India

Leads and delivers enterprise-scale full-stack software initiatives using Java, Spring Boot, React, REST APIs, microservices, event-driven integrations, and cloud technologies. Designs, tests, deploys, and maintains secure, scalable applications; builds CI/CD automation; optimizes relational and NoSQL databases; troubleshoots production issues; supports modernization and cloud migration; and mentors engineers while collaborating with product, architecture, QA, and security teams.

Leads the design, development, and delivery of scalable full-stack Java applications using React or Angular. Establishes architecture, technical standards, APIs, microservices, security, resiliency, and zero-downtime production practices. Collaborates with product and cross-functional teams, provides technical leadership, estimates scope and timelines, and supports project delivery. The role also drives cloud-native development, DevOps automation, observability, release management, and adoption of generative AI solutions.

Design, build, and operate high-volume telemetry infrastructure, Kafka pipelines, ClickHouse data systems, Kubernetes services, and full-stack analytics features. Own production reliability, observability, incident response, APIs, data models, and CI/CD. Lead complex multi-service designs, mentor engineers, and integrate AI capabilities safely into telemetry products and agent interfaces.

Design and maintain high-throughput backend services and concurrent asynchronous workflows for AI agent evaluation. Build control-plane integrations with secure execution environments, scalable gRPC and REST APIs, and resilient event-driven systems. Collaborate across teams, document technical designs, review code, test comprehensively, monitor performance, investigate bottlenecks, and ensure reliable distributed orchestration. Apply understanding of LLM APIs, prompt constraints, and non-deterministic AI system testing.

Lead the design, development, testing, and operational support of secure, scalable cloud-native applications using microservices. Build production-quality software, review code, resolve and automate recurring issues, modernize systems, optimize data performance, and enable resilient zero-downtime releases. Apply domain modeling, promote engineering best practices, and lead communities of practice. Preferred experience includes banking and AWS certification.

Lead and deliver Workday integration and Prism Analytics solutions: design, code, test, debug, and document reports, datasets, and dashboards. Mentor engineers, resolve technical issues, support deployments and production releases, and collaborate with stakeholders to meet reporting requirements and compliance needs.

Lead and deliver full‑stack Java/Spring Boot and React applications, design microservices and event‑driven integrations, build CI/CD pipelines, optimize relational and NoSQL databases, troubleshoot production, mentor teammates, and ensure secure, scalable cloud‑native solutions.

Leads enterprise-scale software engineering initiatives for synthetics monitoring, telemetry, and observability across on-premises and cloud platforms. Designs, codes, tests, and documents complex solutions; establishes engineering standards; mentors teams; and advises leadership. Develops full-stack and AI-powered observability capabilities, including anomaly detection, root-cause analysis, remediation automation, and operational toil reduction. Collaborates with technical stakeholders to resolve performance and connectivity issues and improve platform availability.

Leads software engineering initiatives involving Workday reporting, calculated fields, dashboards, scorecards, and Prism Analytics data ingestion, transformation, and dataset management. Designs, codes, tests, debugs, documents, deploys, and supports solutions while resolving technical issues, guiding junior staff, collaborating with stakeholders, and supporting production releases and critical reporting milestones.

Leads the enterprise SRE transformation by defining strategy, operating models, reliability standards, observability practices, and AI-enabled operational workflows. Builds SRE capabilities, mentors teams, improves incident response and service performance, and partners with engineering, infrastructure, governance, and business stakeholders. Drives automation, resilience, capacity management, telemetry, error budgets, and secure, auditable AI adoption across production operations.

MetLife is seeking a Senior Software/Platform Engineer for its DevOps Engineering organization. The provided description contains limited role-specific details, but the position likely involves developing, maintaining, and improving software platforms, infrastructure, and DevOps capabilities in support of MetLife’s technology environment.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

Lead design, build, and operate reliable batch and streaming data pipelines, curate domain datasets with contracts and SLAs, implement ETL/ELT validation, build APIs and search/indexing pipelines, enable AI/ML data foundations, and enforce security, governance, observability, and operational excellence.

Lead ServiceNow and full-stack software engineering across application design, development, deployment, testing, cloud operations, troubleshooting, and architecture reviews. Translate business requirements into implementation plans, roadmaps, and technical solutions. Develop Service Portal UIs, APIs, integrations, reporting, ACLs, and database connections while supporting Azure DevOps, CI/CD automation, accessibility, reliability, and ITSM capabilities. Collaborate with stakeholders, product owners, developers, and QA teams in Agile environments.

Design, develop, troubleshoot, and maintain MERN-stack applications and microservices. Provide technical guidance to junior developers, implement DevOps/CI-CD practices, ensure application security and data protection, collaborate on new features, and perform functional, regression, and integration testing.

Lead technical strategy and architecture for Partner Connect: design event infrastructure, APIs, partner onboarding and data storage/modeling; set frameworks and standards other teams use; mentor engineers; collaborate across product and platform to deliver scalable, observable systems; and adopt AI tools responsibly to improve developer experience and platform productivity.

Develop and deliver cloud-native infrastructure features supporting Ericsson’s 5G portfolio. Responsibilities include requirements analysis, design, coding, automated testing, CI pipeline qualification, defect and vulnerability resolution, documentation, and collaboration across teams from design through deployment. The role focuses on containerized, microservice-based products and requires independent problem-solving within Agile development environments.

Build and maintain DevSecOps automation for cloud-based application platforms, including CI/CD pipelines, testing, reusable scripts, libraries, and services. Partner with security and application teams to identify, prioritize, and remediate vulnerabilities while improving operational efficiency, scalability, reliability, and cost. Provide production support during critical incidents and customer events.

Develop and support Microsoft Dynamics 365 Finance & Operations solutions, troubleshoot technical, performance, functional, and integration issues, and deliver enhancements, bug fixes, integrations, and deployments. The role includes incident ownership, documentation, monitoring, automation, technical design, peer reviews, stakeholder communication, and mentoring junior engineers. Candidates collaborate with global teams and contribute to Power Platform and Azure integration initiatives.

Leads design, development, and delivery of scalable backend services and patient-facing healthcare applications. Owns system architecture, performance, reliability, observability, secure HIPAA-compliant handling of ePHI, and integrations with healthcare systems using HL7, FHIR, and NCPDP/EDI. Champions testing, CI/CD, security, and code quality while mentoring engineers and collaborating with product, clinical, and engineering stakeholders.

Develop, test, deploy, and support middleware, backend REST APIs, and integrations for an online banking platform. Write unit and end-to-end tests, participate in Agile ceremonies, support CI/CD and deployments, monitor logs, debug applications, and collaborate with technical and product stakeholders across India and the United States.

Build and scale AI-powered applications, production backend services, AI agents, agentic workflows, and MCP integrations. Integrate LLMs with external tools and enterprise platforms while improving prompt orchestration, context handling, tool calling, memory, evaluation, reliability, observability, cost, and safety. Collaborate across engineering, product, and architecture teams, support releases and incidents, conduct experimentation, and document AI engineering best practices.

Develop and maintain Java backend services and data-processing components, including scalable ingestion, transformation, APIs, databases, and distributed systems. Collaborate with engineering and business stakeholders on design, implementation, testing, troubleshooting, and production support. Improve service performance, reliability, and maintainability while participating in code reviews, documentation, and Agile engineering practices.

Build and evolve Java and Spring Boot backend services for process management and workflow automation. Work with Camunda, RabbitMQ, REST APIs, persistence, asynchronous integrations, and transactional Inbox/Outbox patterns. Investigate workflow failures, implement reliable distributed processes, write unit and integration tests, and contribute to architecture, code reviews, product discovery, and production reliability. Collaborate with product, frontend, QA, and architecture teams while making technical trade-offs and owning customer outcomes.

Develop and deploy cloud-native backend services, APIs, and microservices using Python. Implement monitoring, observability, performance optimization, automated testing, CI/CD pipelines, and deployment processes. Contribute small features, bug fixes, refactoring, and GenAI application development while collaborating with globally distributed Agile engineering teams.