Top Software Engineer Jobs in India

Design, build, deploy, and operate scalable microservices and distributed applications. Develop well-tested APIs and services, troubleshoot production incidents, participate in on-call, coordinate integrations, improve software quality, address customer needs, and mentor less-experienced engineers. The role requires cloud, CI/CD, monitoring, database, automated testing, and distributed-systems experience, with preferred exposure to AI/ML, Kubernetes, infrastructure as code, event streaming, observability, and financial services.

Leads the architecture, strategy, and implementation of enterprise backend .NET services. Designs scalable cloud-native microservices, API-driven and event-driven systems, and distributed platforms using technologies such as Kafka, Kubernetes, AWS, Azure, and SQL Server. Provides enterprise-wide technical leadership, drives architectural standards, coordinates complex cross-functional delivery, evaluates emerging technologies, solves critical technical problems, and mentors senior engineering teams.

Leads the design, development, and operation of secure, scalable Python and Flask services, REST APIs, and cloud applications. Provides architecture leadership, code reviews, debugging, production support, and technical direction across teams. Builds on GAP and AWS, works with SQL and CockroachDB, performs data analysis, and governs responsible AI-assisted engineering practices.

Leads design, development, testing, and maintenance of enterprise-scale payment applications. Builds Java and Spring Boot microservices, REST APIs, GraphQL services, and React micro frontends. Drives secure coding, automated testing, CI/CD, cloud-native development, observability, troubleshooting, architecture, and responsible AI-assisted engineering practices. Collaborates across product, architecture, operations, and engineering teams while ensuring performance, resiliency, scalability, and maintainability.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Design, build, and operate large-scale distributed platform services and APIs using Java and Python. Develop Spark-based data pipelines, cloud-native Kubernetes services, AI and agentic capabilities, and enterprise integrations. Own reliability, observability, scalability, security, and production operations. Apply system design and low-level design principles, participate in architecture and code reviews, mentor engineers, and collaborate with data, ML, and platform teams in a 0-to-1 environment.

Develops, tests, troubleshoots, and maintains software applications, APIs, websites, frameworks, utilities, and databases. Performs systems analysis, improves reliability and security, contributes to technical documentation, and follows software development and Agile practices. Builds AI-powered features using LLM APIs and related technologies, collaborates with product and engineering teams, supports releases, analyzes service performance, and participates in occasional on-call rotations.

Design, build, and maintain scalable Go-based backend services and RESTful APIs. Drive technical architecture, system reliability, observability, and long-term scalability while collaborating with product, design, and frontend teams. Participate in system design, project delivery, production on-call support, and engineering strategy. Mentor junior engineers and contribute to microservices, distributed systems, cloud deployments, and continuous improvement of healthcare technology platforms.

Leads architecture and hands-on development of secure, scalable, cloud-native enterprise applications, emphasizing backend services and distributed systems. Owns technical initiatives from design through production, drives testing, observability, CI/CD, reliability, security, and cost optimization, and applies AI/ML capabilities. Provides technical leadership, mentorship, architectural influence, and cross-functional collaboration across engineering, product, business, and platform teams.

Designs, develops, tests, and maintains Java applications, services, automation solutions, and reusable testing frameworks. Collaborates with product and engineering teams, contributes to architecture and code reviews, improves test coverage and quality metrics, supports CI/CD quality gates, and applies secure coding, monitoring, observability, and reliability practices. Uses tools including Playwright, RestAssured, TestNG, Cucumber, Git, and AI-assisted development tools.

Develop and support ServiceNow enterprise solutions for Incident, Problem, Change, and CMDB management. Build workflows, integrations, APIs, automation, and configuration data capabilities; troubleshoot production issues; write maintainable software; participate in testing, code reviews, Agile delivery, CI/CD, and operational support. The role offers early-career engineers opportunities to deepen expertise in ITSM, platform engineering, SRE practices, and enterprise application architecture.

Develops and delivers complex software requirements, designs application architecture and interfaces, writes unit and automated tests, and automates release activities. The role performs proofs of concept, refines requirements, estimates work, and mentors engineers on CI/CD and DevOps practices. It may also include people management, risk management, coaching, and delivery oversight.

Build and maintain full-stack web products across frontend, backend, databases, DevOps, analytics, and third-party integrations. The engineer will implement features, fix bugs, improve infrastructure, monitoring, deployments, testing, and developer experience, and participate in on-call support. The role requires collaboration with product teams, proactive technical ownership, reliable production code, analytics-informed iteration, and fluency with AI coding tools. Senior candidates may additionally own architecture, technical strategy, and major projects.

Build, maintain, and improve highly automated build, release, testing, and continuous delivery infrastructure. Develop internal tools and automation, collaborate with development, QA, and operations teams, implement AWS-based technologies, and support infrastructure scaling. Partner with internal customers to roll out projects, monitor adoption, gather feedback, and refine processes in an agile environment.

Develop, customize, and enhance software components using SAP UI5 and JavaScript. Collaborate with cross-functional teams to translate requirements into scalable solutions, troubleshoot complex issues, document code changes, and improve user experiences. Participate in agile development, contribute to technical problem-solving, and support junior team members while independently serving as a subject matter expert.

Build and operate production-grade AI systems, including RAG pipelines, AI agents, LLM integrations, MLOps infrastructure, evaluation frameworks, and intelligent automation. Develop full-stack AI applications, APIs, cloud infrastructure, CI/CD pipelines, observability, and resilience mechanisms. Promote AI-assisted development, establish responsible AI practices, mentor engineers, document best practices, and partner with product, design, and data science teams on enterprise AI opportunities.

Build and operate production-grade AI systems, including RAG pipelines, agents, LLM integrations, orchestration workflows, and intelligent automation. Develop full-stack applications, APIs, MLOps/LLMOps infrastructure, cloud deployments, observability, CI/CD, and evaluation frameworks. Apply AI coding tools, establish responsible AI practices, mentor engineers, document technical solutions, and partner across product, design, and data science teams.

Develop scalable, maintainable enterprise software using Go. Design web services and contribute to microservices architecture, translating requirements into high-performance systems. Write robust, testable code, document packages, address database bottlenecks, and collaborate across infrastructure layers. Participate in architectural and design decisions while maintaining strong quality and test coverage.

Develop and maintain production-quality GPU and display kernel-mode drivers, embedded firmware, and system software for Linux and Android. Implement HDCP and other display-content-protection features, debug hardware-software interoperability issues, and build automated tests and diagnostic tools. The role requires strong C programming, operating-system and concurrency knowledge, low-level debugging, and collaboration with hardware, firmware, security, and external partner teams.

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

Develop and enhance custom SAP software solutions using SAP ABAP Cloud. Design scalable applications, integrate SAP systems through APIs and web services, debug and optimize code, and apply agile and CI/CD practices. Serve as a subject matter expert, make team decisions, solve complex technical problems, lead process improvements, mentor junior engineers, and coordinate cross-functional delivery.

Design, build, configure, and optimize SAP applications, primarily using SAP Plant Maintenance. Translate business processes into AI-driven workflows, integrate SAP modules and AI services, and manage end-to-end solution implementation. Collaborate with cross-functional teams, troubleshoot application issues, guide technical decisions, facilitate knowledge sharing, and ensure project alignment with business goals. The role requires SME-level expertise, client communication, and team leadership.

Develop and maintain scalable, multi-tiered backend web services using Java and related technologies. Design extensible APIs, solve technical problems, support deployment and maintenance, improve platform efficiency, and address production issues within an agile cross-functional team. The role requires strong application, database, and security knowledge, clean maintainable code, and effective communication with internal teams and clients.

Build and operate enterprise AI systems, including RAG pipelines, agents, LLM integrations, ML platforms, and intelligent automation. Develop full-stack applications, APIs, cloud infrastructure, MLOps/LLMOps pipelines, observability, testing, and resilient deployment architectures. Apply AI coding assistants, establish responsible AI guardrails, mentor engineers, document best practices, and partner with product, design, and data science teams to deliver production-ready solutions.

Engineer and maintain secure, high-performance software, scripts, and tools within a feature team. Responsibilities include requirements analysis, architecture, coding, testing, deployment, operations, lifecycle maintenance, and collaboration with engineers, architects, business analysts, and stakeholders. The role requires Java development expertise, especially Java 17, Spring Boot, JPA, Hibernate, microservices, testing frameworks, databases, CI/CD tools, and cloud platforms.