Top Software Engineer Jobs in India

Build scalable frontend UIs and reusable TypeScript components, design Python-based backend services and APIs for LLM/agentic workflows, implement secure AWS cloud infrastructure with Terraform and Docker, maintain CI/CD pipelines, and integrate AI tooling while applying testing, security, and agentic SDLC practices.

Build scalable frontend UIs (TypeScript, React/Next.js or Angular), design Python backend services and APIs, deploy secure AWS infrastructure with Terraform, Docker and CI/CD, integrate LLMs and agentic workflows, use AI coding assistants, perform rigorous testing and code reviews, and ensure security and responsible AI in production.

Lead and mentor a team of software engineers building scalable control-plane components for Zscaler’s cloud security products. Define technical roadmaps, develop distributed systems, improve observability and reliability, and collaborate with SRE, Support, and Customer Success. The role requires deep networking, Kubernetes, container infrastructure, AI/ML, and high-throughput systems expertise, with preferred experience in control-plane architecture, state management, RPC frameworks, and LLM integrations.

Lead backend software engineer responsible for designing, building, maintaining, and scaling distributed services and support tooling for New Relic’s observability infrastructure. The role involves architecture, automation, cloud development, agile DevOps practices, on-call support, research, feature development, mentoring, and collaboration across multidisciplinary teams. Candidates must have extensive distributed-systems experience, strong Go proficiency, cloud expertise, and the ability to deliver production-scale software.

Develop and maintain highly scalable Java backend applications and services on AWS. Design, document, and implement new functionality; participate in code and design reviews; maintain automated test coverage; and support continuous integration and deployment. The role involves Java, Spring, Docker, Terraform, AWS services, microservices, REST, relational and NoSQL databases, and collaborative Agile development across a distributed engineering team.

Own and improve developer tooling and workflows at scale: optimize TypeScript tooling, CLI, linting, and CI to speed developer productivity and reliability across the company.

Design and build scalable backend microservices for Wise’s global KYC and onboarding platform. Own technical roadmaps, improve reliability, scalability, security, and technical debt, and integrate risk and compliance systems. Lead large, cross-team technical initiatives while developing clean APIs, optimizing databases, managing sensitive data, and delivering maintainable, testable, high-performance code in a product-focused environment.

Designs and maintains scalable automation frameworks, tools, and scripts; architects QA automation solutions; improves testing processes and tooling; integrates automation into CI/CD and DevOps environments; resolves complex quality issues; tracks QA KPIs; mentors engineers; and evaluates AI/ML technologies for intelligent testing and automation.

Lead infrastructure software engineering for Linux platforms across on-premises, virtualized, and cloud environments. Responsibilities include building standardized operating system images, automating provisioning and software distribution, managing RPM pipelines, developing REST APIs and microservices, supporting Kubernetes and Windows Server, and troubleshooting complex infrastructure issues. The role also leads adoption of secure, responsible AI-assisted engineering practices and contributes to automation, CI/CD, testing, and operational stability.

Build and maintain an end-to-end real-time flight simulation framework for eVTOL aircraft, including dynamics, propulsion, controls, avionics, environmental effects, and failure modes. Develop C++ and Python software, automate verification and validation, integrate visual, audio, motion, VR/MR, and external systems, and ensure deterministic performance. Support SIL, HIL, pilot-in-the-loop testing, simulator qualification, certification readiness, and cross-functional collaboration with flight controls, avionics, autonomy, and hardware teams.

Design and develop scalable backend services for corporate expense, payments, ledgers, policy management, and accounting integrations. Own features end to end, improve system reliability and performance, support production deployments, and collaborate with global cross-functional teams. Apply Java, Spring Boot, distributed systems, microservices, AWS, and AI-driven development while promoting strong engineering practices in testing, documentation, monitoring, and code quality.

Develop and enhance Dynamics 365 CRM and Power Platform solutions, including C#/.NET plugins, JavaScript customizations, Power Automate flows, and Canvas or Model-Driven Power Apps. Collaborate with stakeholders and U.S. teams in an agile Azure DevOps environment. Perform testing, deployment, documentation, troubleshooting, and support across CRM environments. Experience with Azure, CI/CD, managed solutions, Microsoft Copilot, AI Builder, and CRM integrations is preferred.

Build and maintain scalable test automation frameworks using Playwright, Cucumber, Python, and Java. Automate web, mobile, API, data, and end-to-end workflows; integrate testing into CI/CD pipelines; perform functional, regression, performance, and data validation testing; investigate production issues; and drive quality strategies, metrics, release readiness, and engineering best practices across the SDLC.

Lead the architecture and development of massive-scale observability ingestion systems using Java, Kafka, and cloud-native technologies. Drive architectural strategy, distributed-system design, multi-cloud infrastructure, JVM and concurrency optimization, and operational excellence. Mentor engineers, establish engineering standards, eliminate performance bottlenecks, and translate business requirements into scalable technical solutions.

Build scalable backend APIs, data pipelines, orchestration layers, and front-end dashboards powering conversational AI agents. Integrate AI and machine learning models with enterprise workflows, ensuring real-time performance, security, reliability, and low latency. Develop human-in-the-loop workflows, support enterprise-ready product features, and collaborate with AI/ML engineers and architecture leaders. Contribute to code reviews, system design, and engineering best practices in a fast-paced startup environment.

Develop and maintain scalable PHP web applications using MySQL, MVC, REST APIs, and software development best practices. Responsibilities include requirements analysis, architecture and solution design, coding, testing, debugging, performance optimization, code reviews, deployment support, production issue resolution, and cross-functional collaboration. The role also contributes to application security, technical improvements, and enterprise software development.

Paid six-month software engineering internship developing high-throughput integrations for ClickPost’s logistics intelligence platform. The intern will contribute to production systems processing over one million shipments daily, using Java or Kotlin and technologies including PostgreSQL, ScyllaDB, Kafka, RabbitMQ, cloud platforms, and monitoring tools. Responsibilities expand from onboarding and initial production contributions to end-to-end platform development, automation, visibility, and velocity improvements.

Develop and maintain scalable Python test automation frameworks for cloud security products. Collaborate with engineering teams, test software at scale, troubleshoot complex production customer issues, and provide debugging insights. Integrate automated test APIs into Jenkins and GitLab CI/CD pipelines while building tools that improve testing workflows and engineering productivity. The role also involves diagnosing networking, cloud infrastructure, HTTP/HTTPS, and TLS issues.

Design, develop, and maintain backend APIs for various services like payments, analytics, and subscriptions. Collaborate with cross-functional teams to align architecture with product strategy.

Lead design, development, and deployment of scalable full‑stack web applications using React front-ends and Java/Oracle backends. Own product lifecycle, conduct code reviews, mentor engineers, drive AI-augmented engineering practices, optimize performance and security, implement testing and CI/CD practices, and collaborate with product, UX, and QA teams to translate business requirements into technical solutions.

Develop and deploy AI-powered features for PowerPoint, focusing on LLMs, prompt engineering, fine-tuning, indexing/semantic search, and context management. Write and test prompts, implement full-stack features, and iterate using usage data.

Design, implement, test, and deploy backend and DevOps features and infrastructure. Build robust systems for rapid development and automated testing. Use usage data to iterate on product features for a PowerPoint-integrated AI assistant in a fast-paced startup environment.

Lead architecture and hands-on implementation of agentic and generative AI systems for a secure FinTech platform. Architect scalable agent registries, policy engines, observability, CI/CD and progressive delivery. Fine-tune and prompt-engineer foundation models, mentor Staff Engineers/Tech Leads, run design clinics, align across Security/Compliance/Data, and drive production readiness and incident response.

Design and build BlackLine's next-generation multi-tenant SaaS applications and data platform. Lead architecture and cross-team initiatives for cloud-native, high-concurrency microservices and real-time data pipelines. Mentor engineers, drive DevOps/CI-CD practices, ensure security and performance, and integrate data across ERP, banking, payments, and subledger systems.

Senior individual contributor to architect and build agentic and generative AI systems for an enterprise Invoice-to-Cash platform. Own end-to-end architecture, model fine-tuning, observability, CI/CD and release strategy while being deeply hands-on, mentoring Staff Engineers, aligning across Security/Compliance/Data, and ensuring production readiness and governance for FinTech-grade deployments.