Top Software Engineer Jobs in India

Develop and maintain full-stack software for GuidingCare and Wellframe healthcare integrations. Build application features, user interfaces, databases, APIs, and integration services using .NET and modern front-end technologies. Write tests, debug code, manage data, troubleshoot production issues, and participate in on-call support. Collaborate with product, design, and engineering teams while using AI coding tools and agentic workflows to improve development productivity and code quality.

Develop and enhance software applications using Microsoft technologies, APIs, microservices, relational databases, and modern web interfaces. Responsibilities include writing optimized code, developing SQL scripts and stored procedures, building application features, debugging, testing, documenting technical designs, and collaborating with developers and cross-functional teams. The role requires independent problem-solving, attention to detail, and participation throughout the software development lifecycle.

Develops and maintains production-grade healthcare software using the .NET ecosystem. Responsibilities include building user interfaces, databases, APIs, and client-facing features; participating in technical design; writing clean, tested code; debugging defects; conducting code reviews; supporting releases; maintaining documentation; and collaborating with product, QA, DevOps, and support teams.

Lead design and implementation of AI/ML compiler and runtime software for RISC-V/NPU SoCs. Develop IREE/MLIR-based lowering, custom dialects and passes, code generation, quantization, and runtime integration. Optimize models for edge deployment across CPU, vector, matrix, and accelerator paths. Collaborate with hardware, firmware, FPGA and validation teams, build test/CI infrastructure, and provide technical leadership for performance tuning and customer enablement.

Develop, test, debug, and maintain embedded software using Python and Java. Collaborate with hardware and embedded engineering teams, perform software verification and validation, participate in code reviews, document designs and tests, and support product quality and reliability. The role also involves database use, Agile development, technical troubleshooting, and cross-functional collaboration. Familiarity with IEC 61850, HVDC systems, and configuration management tools is advantageous.

Designs, develops, deploys, and optimizes AI-enabled software and data infrastructure using Python and Scala. Responsibilities include building AI assistant tooling, maintaining code quality and security, collaborating on product development, coordinating releases, and managing scalable cloud-based systems. The role requires experience with big data technologies, AWS services, Kafka, Kubernetes, Snowflake, CI/CD pipelines, and SQL.

Design, build, and operate scalable, fault-tolerant observability infrastructure (logs, metrics, traces). Implement ingestion, transformation, and query services, run Kubernetes production systems, collaborate with SREs and platform teams, participate in on-call rotation, contribute to design reviews and incident retrospectives, and optionally build React UIs and integrate AI/LLM capabilities.

Develop, maintain, and support distributed control system (DCS) software for industrial automation. Collaborate with global teams to design, test, and deploy automation solutions, ensure software quality and reliability, and contribute to digital twin and asset monitoring initiatives that support energy transition and sustainability goals.

Leads multiple software engineering teams responsible for designing, developing, deploying, and supporting mission-critical customer-facing applications. Manages people, budgets, delivery quality, engineering processes, and end-to-end SDLC activities. Coaches engineers, reviews architecture and code, drives operational excellence, improves reusable frameworks and automation, and communicates risks and opportunities to senior leaders. Requires extensive experience with modern software development, cloud, APIs, microservices, AI technologies, CI/CD, testing, and Agile delivery.

Design, build, and operate scalable, fault-tolerant observability infrastructure for telemetry ingestion, storage, querying, and visualization. Work across the stack (backend, optional frontend), operate Kubernetes production systems, collaborate with SREs and platform teams, participate in on-call rotations, perform design reviews and post-incident retrospectives, and contribute to open-source observability projects.

Design, build, and operate internal developer platforms and self-service tools to improve engineering productivity. Own CI/CD pipelines, integrate cloud and container platforms, maintain development tools, troubleshoot deployments, and drive adoption via documentation and training.

Design, deploy, automate, and run end-to-end AWS infrastructure and EKS platform. Build GitOps/IaC, support multi-account multi-region cell architecture, ensure reliability, security, cost-effectiveness, and collaborate with product teams while sharing on-call duties.

Build and maintain a high-throughput backend data pipeline processing millions of messages per second and terabytes of data. Design and implement microservices, REST and GraphQL APIs, Kafka and Spark-based data processing, and work with SQL/NoSQL stores. Ensure observability, Kubernetes-based deployment, test automation, and continuous improvement through refactoring and collaboration with a small engineering team.

Lead the design, development, and operation of internal PaaS offerings, including API gateways, Kafka platforms, portals, dashboards, backend services, databases, and CI/CD systems. Drive AIOps and No-Ops initiatives using machine learning, architect resilient distributed systems, provide on-call support, establish engineering standards, and mentor junior engineers. Collaborate with infrastructure, SRE, and software engineering teams to deliver scalable, secure, and highly available platforms.

Design, build, test, deploy, and monitor AI-powered solutions (Generative AI, LLMs, NLP). Develop prompts, RAG, vector search, data pipelines, APIs, and integrations. Implement responsible AI, CI/CD, and production monitoring while collaborating with stakeholders and following engineering best practices.

Develop, integrate, debug, and maintain cellular PHY software across 2G, 4G/LTE, and 5G NR systems. Analyze logs, traces, crash dumps, KPIs, configurations, and system behavior to isolate root causes and resolve complex product issues. Collaborate across MAC, RLC, RRC, RF, DSP, hardware, and system teams. Contribute to AI-assisted development, automated log analysis, and root-cause-analysis tools.

Build and scale data infrastructure for LLM training, fine-tuning, and RAG applications. Design ingestion and transformation pipelines, develop LangGraph-based agentic workflows, optimize vector databases and semantic retrieval, create structured and unstructured data models, and improve latency across embedding and retrieval systems. Collaborate with AI researchers and product managers to convert prototypes into production-ready AI data products.

Develop and test embedded software for connected medical devices throughout the product lifecycle. Responsibilities include device connectivity, requirements translation, implementation, debugging, verification, validation, cybersecurity, compliance, and collaboration with cross-functional engineering, quality, regulatory, digital, and manufacturing teams. The role supports new product development, enhancements, engineering changes, and continuous improvement.

Develop embedded software for connected medical devices throughout the product lifecycle, including requirements, design, implementation, debugging, integration, verification, validation, and launch. The role supports device-to-device, mobile, and cloud connectivity using communication protocols and collaborates with systems, electrical, quality, regulatory, digital, and manufacturing teams. It also contributes to software quality, cybersecurity, compliance, product enhancements, and engineering changes.

Design, develop, test, deploy, and support scalable Java and Angular applications using AWS cloud services, microservices, and event-driven architecture. Own modules from design through deployment, contribute to architectural decisions, conduct code reviews, diagnose complex issues, and improve engineering practices. Integrate AI/ML capabilities and developer tools, mentor team members, and collaborate with architects, product owners, and stakeholders to deliver performant, fault-tolerant platform solutions.

Leads multiple software engineering teams responsible for designing, developing, deploying, and supporting mission-critical digital applications. Oversees end-to-end engineering delivery, code and design reviews, software quality, security, operational excellence, SDLC improvements, budgeting, hiring, performance management, and employee development. Partners with senior leaders to communicate risks, opportunities, and lessons learned while ensuring scalable, maintainable, high-quality solutions and delivery against business objectives.

Build and maintain high-scale full-stack advertising and marketing technology applications, APIs, services, and data-driven features. Responsibilities include system design, architecture, deployment, production support, technical decision-making, AI-assisted development, LLM integrations, distributed systems, and collaboration with product, design, analytics, and machine learning teams. The role also involves mentoring engineers and contributing to engineering best practices.

Design, build, and support scalable advertising and marketing platforms, backend services, APIs, and distributed systems. Own features from architecture through production, make technical decisions, optimize reliability and performance, and collaborate across teams. Use AI-assisted development tools and contribute to LLM-powered advertising capabilities. Participate in Agile practices, mentor engineers, lead design reviews, and help establish engineering best practices.

Design, build, and support scalable backend services, APIs, and advertising and marketing platform features. Own technical design, architecture, deployment, and production support for complex distributed systems. Make architectural tradeoffs, collaborate across teams, mentor engineers, and contribute to engineering best practices. Use AI-assisted development tools and help integrate LLMs, recommendation systems, and intelligent campaign optimization into production systems.

Develop, administer, and optimize Nielsen’s ServiceNow platform across ITSM, HR, ITOM, ITAM, SPM, and related modules. Responsibilities include gathering requirements, designing workflows and custom applications, scripting, integrations, troubleshooting, reporting, access control, upgrades, Agile release management, documentation, and stakeholder support. The role also mentors junior team members and drives automation and process improvements.