Top Software Engineer Jobs in India

Design, develop, test, and support enterprise investment-management products as a full-stack engineer. Lead test strategy, automation, CI/CD, cloud infrastructure, architecture adherence, requirements analysis, and technical process improvements. Collaborate with international scrum teams, product owners, architects, and business experts. Mentor teammates, promote technical excellence, and apply responsible AI tools to accelerate development while ensuring quality and architectural fit.

Lead enterprise software and integration implementations using Java, Spring Boot, REST APIs, Kafka, and PostgreSQL. Translate customer requirements into technical designs, lead development through deployment, troubleshoot distributed production systems, conduct client workshops, support implementations, collaborate cross-functionally, and mentor junior developers or consultants.

Lead technical design, development, and delivery of DevOps platforms supporting developer experience and software delivery at enterprise scale. Mentor engineers, create technical specifications, coordinate Agile engineering efforts, and maintain automated deployment, source control, release readiness, and code traceability systems across thousands of servers and multiple data centers.

Develops secure, scalable, and reliable software with minimal mentoring. Responsibilities include writing application modules and unit tests, conducting system and integration testing, designing and tuning SQL databases, optimizing code, reviewing and troubleshooting defects, supporting deployments and releases, and contributing to system design, coding standards, patterns, and process improvements.

Lead and mentor software and quality engineers while developing high-performance C++ and Lua backend services for distributed industrial data and automation platforms. Responsibilities include architecture, system design, API development, cloud and edge integrations, technical decision-making, code reviews, automated testing, delivery planning, and building scalable, reliable software connecting industrial systems to cloud platforms.

Build and lead scalable test automation across web, APIs, workflows, and AI-driven systems using Playwright and SerenityJS. Develop JavaScript and TypeScript test suites, integrate quality gates into Jenkins or GitHub Actions, analyze failures, conduct code reviews, define acceptance criteria, mentor teams, and improve automation metrics. The role emphasizes regression, integration, system, end-to-end, accessibility, desktop, and API testing within containerized SaaS environments.

Own technical direction and architecture for major backend systems and product features. Build end-to-end distributed services, data pipelines, and LLM-powered agent workflows involving tool calling, retrieval, orchestration, evaluation, and safety guardrails. Lead design and code reviews, establish testing and observability standards, mentor engineers, and collaborate with product, sales, customer success, and leadership to ship reliable production solutions.

Lead the design and implementation of scalable, resilient services for a global multi-tenant SaaS identity platform. Responsibilities include distributed-system architecture, performance optimization, operational excellence, CI/CD and infrastructure collaboration, technical leadership, design reviews, and AI adoption across products and software development.

Leads architecture and technical strategy for a global, multi-tenant SaaS platform. Designs highly scalable distributed systems, improves performance and operational excellence, partners with SRE and DevOps on CI/CD and resilient infrastructure, mentors engineers, conducts design reviews, and drives AI adoption across product development and the SDLC. Requires deep Java and Spring Boot expertise, Kafka, LDAP, OpenSearch, AWS, distributed systems, and familiarity with React.js, IAM, and Kubernetes.

Lead the technical direction for secure, reliable infrastructure and developer platforms. Design secure-by-default Kubernetes, cloud, GitOps, CI/CD, observability, secrets, PKI, and IAM systems; drive Zero Trust, policy-as-code, vulnerability remediation, security observability, incident response, and blameless post-mortems. Advise engineering leadership, influence cross-functional architecture decisions, and secure AI/ML workloads and MLOps pipelines.

Develops and manages database models for core products, including SQL views, tables, stored procedures, SSIS packages, T-SQL, and SQL jobs. Designs staging and archival data solutions, performs database analysis, migration, normalization, indexing, query tuning, and performance optimization. Supports authentication and authorization, establishes database development best practices, documents technical processes, and collaborates with engineering teams on data analytics solutions.

Lead the design and maintenance of CI/CD pipelines, infrastructure as code, cloud operations, configuration management, Snowflake deployments, monitoring, and automation across AWS and Azure. Develop Python tooling, support disaster recovery and high availability, optimize infrastructure and deployment workflows, and lead data engineering associates while collaborating with global technology teams.

Develops, tests, debugs, implements, and maintains moderately complex software across front-end and back-end platforms. Designs application specifications, analyzes databases and existing systems, validates code, documents solutions, and resolves defects. Collaborates with business teams, clients, vendors, and technology partners on solution approaches. Supports application standards, PCI compliance, estimates, implementation planning, and provides guidance to other software engineers.

Develops, tests, debugs, implements, and maintains moderately complex software across front-end and back-end platforms. Designs application solutions, documents code, validates changes, supports application standards and PCI compliance, estimates project resources, participates in client and vendor discussions, and mentors other software engineers. Requires broad programming, API, database, operating system, and web technology knowledge across the software development life cycle.

Lead technical direction for AI-enabled software initiatives, design enterprise-grade architectures, mentor engineering teams, optimize cloud costs, evaluate AI models, drive cross-team delivery, and apply modern SDLC and DevOps practices.

Lead and deliver multiple software projects across the bank, design high-level solutions and microservices, develop and deploy cloud-native applications, mentor engineers, enforce secure coding and quality standards, and drive engineering practices and documentation.

Lead architecture and delivery of Control Center platform capabilities, evolving it into an AI-agent-ready operations platform. Design MCP registries, AI orchestration, access automation, guardrails, and HITL workflows. Mentor engineers, drive cross-team roadmaps, own backend services reliability, SLOs, observability, incident response, and collaborate with Security and Product to deliver secure, compliant internal tooling.

Lead architecture and engineering of a cloud-native, distributed runtime and developer platform for agentic generative AI. Mentor engineers, drive security-as-code, automation and zero-touch deployments, manage cross-team dependencies, ensure scalability, performance, and production readiness.

The Software Development Engineer designs, implements, and manages software systems, collaborating with teams and optimizing applications while ensuring scalability and security.

Develop and maintain high-quality C/C++ code for HDL compiler and runtime support. Responsibilities include building compiler front-ends supporting SystemVerilog and VHDL language standards, improving compiler performance and infrastructure, and contributing to RTL simulation, synthesis, and runtime environments.

Design, develop, and scale automated testing frameworks for APIs, backend systems, and enterprise applications. Integrate automated tests into CI/CD pipelines, create reusable test data frameworks, and support performance and load testing. Collaborate with development, product, and DevOps teams in Agile/SAFe environments to improve release quality, reliability, and scalability through continuous validation.

Design, develop, and maintain automated testing frameworks for APIs, backend systems, and enterprise applications. Integrate automated tests into CI/CD pipelines, create reusable test data frameworks, and support performance and load testing. Collaborate with developers, product owners, and DevOps engineers in Agile/SAFe teams to improve software quality, reliability, scalability, and release validation.

Build and maintain an AI-native EHR: own features end-to-end, ship continuously, use AI/LLMs to increase productivity, ensure reliability, and work across frontend, backend, data, jobs, and infra.

Design and build low-latency, scalable model inference and serving stacks, data processing and evaluation infrastructure, and translate research into production. Collaborate with research and product teams, deliver high-performance distributed systems, and provide technical leadership to ship ML platform features.

Build and optimize core backend systems enabling user features, real-time data synchronization (event-driven/CDC), advanced caching and connection pooling, and improved observability. Drive architectural and infrastructure upgrades, own deployment and scaling strategies, contribute to open-source, and raise backend engineering standards across the platform.