Top Software Engineer Jobs in India

Lead architecture and delivery of scalable, resilient cloud-native payment platforms. Own system design, microservices, APIs, event-driven architectures, performance, observability, and security. Lead full-stack development (Java/Spring Boot, Angular), mentor engineers, enforce engineering standards, drive CI/CD/DevSecOps, and integrate AI capabilities for product enhancements.

Lead the development and enhancement of data and AI platforms, ensuring performance, scalability, and compliance while mentoring junior engineers and collaborating across teams.

As a Principal Software Engineer, lead and implement solutions for complex challenges, mentor teams, optimize applications, and provide technical thought leadership in Java development.

Build and evolve scalable cloud foundation services powering multiple SaaS products. Own detailed technical design, implementation, testing, reliability, observability, and operational readiness for complex distributed systems. Translate architectural direction into production software, provide technical feedback, resolve complex production issues, lead code reviews, improve engineering practices, and mentor engineers. Work across APIs, repositories, data services, workflows, search, and other shared platform capabilities.

Designs, develops, tests, maintains, and supports full-stack features across JADE, C#/.NET, and React. Partners with product and project management, builds scalable AI-enabled workflows, integrates REST APIs, troubleshoots complex issues, and applies security, performance, scalability, and availability best practices. Owns features through their lifecycle, contributes to architectural design and peer reviews, mentors junior engineers, communicates with stakeholders, and delivers independently in Agile environments.

Design, develop, and test cloud-based software for automotive dealership service centers. Build and integrate AI/ML solutions using LLM APIs, model training, fine-tuning, and production deployment. Collaborate with stakeholders, customers, product managers, and technical leaders to deliver scalable, reliable solutions across microservices, mobile, and cloud technology stacks.

Design, develop, test, and integrate scalable cloud software and AI/ML solutions for automotive dealerships. Responsibilities include working with LLM APIs, fine-tuning and deploying models, collaborating with stakeholders, improving architecture and reliability, and mentoring junior engineers. The role spans microservices, mobile, cloud, databases, messaging, and multiple programming languages.

Designs and maintains Playwright and C# automation frameworks; creates test plans and cases; performs manual, UI, API, regression, integration, performance, security, and non-functional testing. Validates web applications, databases, APIs, and cloud environments, analyzes defects, reports quality metrics, and collaborates with development teams. The role also requires PostgreSQL and SQL skills, cloud and DevOps knowledge, AI-assisted development experience, and mentoring junior QA engineers.

Develops and enhances systems software using Golang and Python. Designs, codes, tests, debugs, and integrates software components while addressing scalability and performance. Leads project teams and collaborates with internal and outsourced partners on architecture, development, and issue resolution. Provides technical guidance and mentoring to less-experienced engineers. The role requires expertise in databases, distributed systems, DevOps, Kubernetes, open-source data tools, networking, and software development workflows.

Develop distributed system software, SDKs, and switching software for Ethernet switch products. Design and implement L2, L3, VXLAN, ACL, QoS, and other networking capabilities for ASIC-based platforms. Collaborate with hardware, ASIC, marketing, and testing teams throughout the product lifecycle, while focusing on scale, performance, and reliability.

Develops software for Cisco Nexus data center Ethernet switching platforms. Leads medium-to-large features from requirements through deployment, collaborates with architecture, hardware, verification, testing, and product teams, and resolves complex integration and production issues. Responsibilities include writing reliable C/C++ and Python code, debugging, testing, architecture and code reviews, networking SDK integration, technical leadership, process improvement, and mentoring junior engineers.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Lead a high-performing software engineering team developing scalable backend services for industrial automation and IoT. Provide technical direction, mentor developers, guide architecture, coordinate cross-functional work, estimate development efforts, perform automated testing, participate in agile ceremonies, conduct code reviews and pair programming, and ensure timely, high-quality delivery. The role requires hands-on development using C/C++ and/or Lua, along with expertise in software engineering fundamentals, operating systems, concurrency, databases, networking, and application security.

Develop scalable AR/VR applications with Unity3D, architect interactive experiences, optimize rendering and performance across devices, integrate AR/VR SDKs, implement immersive UI/UX, and collaborate with designers, artists, backend developers, and other engineers. Responsibilities include code reviews, mentoring junior developers, debugging, documentation, and applying software design patterns, multiplayer development, and cross-platform development practices.

Build and operate scalable backend services, APIs, data pipelines, and distributed systems processing hundreds of millions of events daily. Responsibilities include owning complex features from design through production, maintaining SLAs and SLOs, testing and debugging, supporting on-call operations, improving observability, collaborating across teams, and mentoring junior engineers. The role requires expertise in high-throughput messaging, search and indexing, cloud infrastructure, workflow orchestration, and production reliability.

Build end-to-end data- and AI-driven applications across user interfaces, backend services, APIs, and data integrations. Develop prototypes and production-ready solutions, support analytics use cases, and collaborate with product, business, data, and platform teams. Responsibilities include implementing CI/CD, automated testing, monitoring, observability, security, troubleshooting, and operational support. The role requires full-stack development with React or Vue.js, JavaScript or TypeScript, backend services, SQL, cloud platforms, and DevOps practices.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

Build scalable, reliable backend systems for energy-management software. Responsibilities include solving ambiguous engineering problems, designing APIs, services, workflows, data models, databases, and distributed event-driven systems; optimizing SQL and system performance; and owning features from product decomposition through production. The role requires strong software engineering, system design, problem-solving, and database skills, with preferred experience in Java, Python, or Node.js.

Lead backend and cloud-native development while owning CI/CD, infrastructure automation, deployments, reliability, and observability. Build microservices and automated workflows for Azure AI Foundry model and agent lifecycles. Provision infrastructure with Terraform, deploy containerized workloads to AKS using Helm, implement monitoring and testing, troubleshoot production systems, and optimize performance, cost, and security. Collaborate across engineering, cloud, AI, QA, and operations teams using Agile practices.

Develop and maintain business-critical full-stack applications using TypeScript, JavaScript, and React. Own features from design through deployment and production support, troubleshoot defects, write automated tests, participate in code reviews, monitor system reliability, and collaborate with Product, DevOps, Support, and Operations teams. The role also uses AI-assisted development tools, contributes to documentation and technical debt reduction, and supports scalable, secure software delivery.

Design, develop, test, and deploy complex full-stack software solutions and services. Lead technical design, architecture, feature delivery, production troubleshooting, scalability, reliability, and technical debt reduction. Own the long-term health of assigned systems, collaborate with DevOps and cross-functional teams, conduct code and design reviews, mentor engineers, and promote engineering excellence. Use AI-assisted development tools responsibly across coding, testing, debugging, documentation, and reviews while advancing AI-enabled development practices.

Build and productionize distributed data infrastructure for Onehouse’s managed lakehouse platform. Responsibilities include developing Apache Hudi transactional capabilities, concurrency control, indexing, metadata and data-access systems, and optimization algorithms for distributed processing on Kubernetes. The role involves analyzing complex data, prototyping performance improvements, collaborating with engineers, and safely deploying solutions. Candidates should bring strong object-oriented programming, distributed systems, algorithm, and relational database expertise.

Build and operate the control plane for DigitalOcean's DBaaS: design and implement scalable distributed systems, provision/scale/backup database clusters, create telemetry and logging, orchestrate complex workflows, automate operational playbooks, and stay current with cloud-native and DBaaS trends.

Build and operate the control plane for a cloud DBaaS platform: develop scalable distributed systems, provision/scale/backup database clusters, create telemetry/logging and orchestration workflows, automate maintenance/playbooks, and stay current with cloud-native, Kubernetes, and control-plane patterns.

The role involves designing and implementing network security software in public cloud infrastructure, focusing on firewalls and SWG platforms. Responsibilities include executing technical roadmaps, collaboration with engineering teams, and driving team member development.