Top Software Engineer Jobs in India

Seeking a Lead SDET to manage quality strategy, lead a testing team, and ensure high product quality through automation and manual testing.

Design, develop and deliver scalable, secure Android applications using Kotlin and Java. Collaborate with product, design and cross-functional teams, participate in Agile ceremonies, lead code reviews, mentor developers, enforce testing (unit/UI) and CI/CD, and drive technical excellence and risk-aware solutions.

The Associate Software QA Engineer will perform manual and exploratory testing, document bugs, assist in automation efforts, and collaborate on quality improvement initiatives.

The Senior Software Engineer will design, implement, and maintain backend services, microservices, and APIs, focusing on performance and reliability, and optimize databases while mentoring other engineers.

As a key member of the Data Infrastructure team, you will develop and optimize software features for Apache Hudi's transactional engine, enhance database performance, and solve complex data processing challenges.

Build and scale AI-driven workflow features: integrate AI into Email/SMS/code actions, implement RAG and knowledge-base solutions, develop data extraction, text-to-voice, and analysis tools, optimize low-latency APIs, and mentor junior engineers.

As a Lead Engineer, you'll design and develop frameworks and services for HighLevel's platform, optimizing large-scale database clusters and ensuring performance and security across multiple environments.

The Senior Software Engineer will develop software solutions to manage data from sensors. Responsibilities include design, coding, code reviews, and mentoring junior developers.

Design, build, and ship cloud-native platform features and developer tooling. Implement CI/CD and AI-native workflows, modernize legacy tools, develop resilient, well-tested services integrated with global cloud infrastructure, participate in code reviews and cross-team technical decisions, and contribute to communities of practice in cloud, DevOps, and AI/ML.

Develop and maintain software for image acquisition and processing in an international Scrum team, utilizing modern C++, C#, and WPF.

Lead and technically drive Nike's multi-cloud platform engineering: design, build, operate, and govern cloud infrastructure solutions (Kubernetes, control plane, CRDs, autoscaling). Split time between hands-on engineering and leadership—shaping technical priorities, best practices, partnering cross-functionally, and mentoring cloud engineering teams.

Develop and maintain full-stack web applications with Ruby on Rails and React. Design scalable backend services and REST APIs, build responsive UIs, collaborate on QA and architecture, write well-tested code, and troubleshoot production issues to ensure performance and reliability.

Lead the performance engineering efforts for the Enterprise TruRisk Platform, focusing on real-time data pipelines across various technologies, and optimizing system performance and SLAs.

As a Staff Software Engineer (Backend), you will build and enhance features, ensure service ownership, and mentor engineers while managing cloud services and adhering to software development best practices.

Develop, test, deploy, and support Python backend microservices and REST/GraphQL APIs on AWS. Improve CI/CD, automated testing, and security practices, troubleshoot production issues, and share knowledge across cross-functional teams using AI-assisted engineering tools.

As a Senior Data Engineer, you will architect the AI-native Data Platform, optimize performance, ensure data governance, and mentor engineers on best practices.

Looking for a Senior Software Engineer to lead backend development, focusing on system design, collaboration, and operational excellence. Responsibilities include coding, designing, and maintaining scalable systems for high throughput applications.

Develop end-to-end software for SDR-based RF ground systems: ingest and time-align I/Q data from multiple stations, implement signal processing and estimation algorithms (FFTs, filtering, Doppler compensation, Kalman/least-squares), integrate with RF hardware, validate with simulated/recorded/live data, and produce technical documentation and test reports.

Design and implement scalable Windows system-level features, lead end-to-end development, mentor junior engineers, participate in design/code reviews and on-call rotation, debug using WinDbg and profiling tools, and collaborate cross-functionally to deliver secure, high-availability solutions.

Develop and maintain a macOS agent: participate in design and code reviews, improve processes, handle on-call rotations and customer escalations, optimize performance, ensure secure packaging, testing, and cross-language interoperability between C++ and Swift.

Design, build, and maintain scalable enterprise backend services and microservices in C#/.NET. Participate in design and code reviews, CI/CD and DevOps, troubleshoot production issues, join on-call rotation, drive platform reliability, performance optimization, and collaborate with global cross-functional teams.

Lead design and delivery of scalable, production-grade data systems and backend services. Build and maintain data pipelines, implement data models, ensure schema evolution and data integrity, write testable maintainable code, contribute to CI/CD and observability, debug production issues, and participate in architecture and system design.

Architect and build highly scalable backend systems; lead full project lifecycle from design to deployment; mentor engineers; collaborate across distributed teams; ensure engineering best practices; drive innovation and cloud-native solutions on AWS/Azure using modern data stores and messaging platforms.

Design and build a multi-tenant, cloud-scale data platform and lakehouse architectures; implement batch, streaming, and CDC ingestion pipelines; perform data modeling (dimensional, Data Vault), SQL optimization, Spark-based processing, and data quality/monitoring; use Python/Scala, Airflow, and AWS services to enable real-time analytics and AI use cases.

Lead design and development of Java/Spring Boot microservices on Azure. Implement event-driven architectures (Kafka/Spark), write automated tests, drive scalable, secure multi-tenant SaaS solutions, manage deployments with Kubernetes/AKS and IaC, and represent product/technical roadmaps to stakeholders.