Top Software Engineer Jobs in Gurgaon

Designs, develops, tests, debugs, documents, and maintains software enhancements and commercial application products using COBOL and related technologies. Collaborates with product managers and users to define requirements, produces technical specifications, participates in design reviews, and supports installation and maintenance. The role also involves communicating with business and client-facing teams, mentoring colleagues, presenting technical information, and potentially managing project plans, budgets, and schedules.

Own end-to-end QA for a scrum team across web applications, JavaScript libraries, mobile SDKs, APIs, backend systems, and performance testing. Build automated test suites, QA infrastructure, CI pipelines, and test environments; investigate customer issues, perform client-side debugging and root-cause analysis, manage deployments, and establish testing strategies for AI-powered features.

Designs and develops Linux-based embedded software architectures for high-performance real-time systems. Leads requirements analysis, coding, integration, debugging, testing, and kernel optimization. Develops Linux kernel solutions, device drivers, and Board Support Packages for RISC processors and ARM environments. Manages configuration using ClearCase and ClearQuest, collaborates with cross-functional teams and customers, and supports wireless protocol and telecommunications initiatives.

Build and support a strategic web platform for automotive intelligence. Responsibilities include designing and owning cloud-based microservices, developing scalable services and APIs with Core Java, integrating datasets, collaborating with product and technology leaders, participating in code reviews, and contributing to engineering best practices. The role involves AWS, Kubernetes, Spring technologies, and emerging Gen AI tools.

Develop scalable Python software and integrate AI/ML solutions, including RAG and intelligent automation. Collaborate with data engineering and DevOps teams on data processing, deployment, and CI/CD. Conduct code reviews, troubleshoot complex issues, document solutions, train stakeholders, and support Agile continuous improvement while integrating AI capabilities with Jira and Confluence.

Build and operate full-stack production systems for warehouse intelligence products. Responsibilities include developing Python and Node.js/NestJS services, REST APIs, integrations, PostgreSQL databases, asynchronous workflows, caching, and data pipelines. Deploy and monitor services using Docker, Kubernetes, cloud infrastructure, and CI/CD. Diagnose production issues, improve reliability and performance, apply secure coding practices, and progressively own components across the software lifecycle.

Lead technical improvements across a large enterprise software portal, owning major features, architecture, database governance, testing standards, modernization, and production incident response. Mentor developers, conduct critical code reviews, establish engineering practices, and collaborate with product, QA, customer success, and leadership. The role requires expertise across PHP, React, AWS, C#, SQL Server, distributed systems, legacy modernization, and AI-assisted development workflows.

Leads architecture, delivery, modernization, database governance, testing, code quality, and incident response across complex enterprise software systems. Mentors developers, establishes engineering standards, guides incremental modernization, and manages production risks involving financial, inventory, and shipping data. Requires strong PHP, React, AWS, C#, SQL Server, distributed systems, testing, and technical leadership expertise.

Build and own automated testing frameworks, CI/CD infrastructure, load and stress testing, and chaos engineering practices for a brokerage platform. Write primarily Go, integrate AI and LLM tooling into quality workflows, investigate application and Kubernetes failures, improve developer tooling, and mentor engineers on reliability and test coverage.

Develop and enhance a cloud-based securities processing platform using C++. Analyze requirements, design solutions, implement features, estimate tasks, lead code reviews, enforce best practices, and mentor junior engineers. The role supports strategic platform enhancements and client implementation projects within an agile scrum team.

Build and ship secure full-stack product features using Angular or React and Java or Node.js. Own UI, APIs, data flows, testing, releases, and fixes while applying security-first practices. Use AI tools, coding agents, MCPs, APIs, and automation to accelerate development and connect AI capabilities to real systems. Review human- and AI-generated code, improve engineering workflows, and contribute product ideas within a fast-moving remote team.

Leads quality engineering for scalable web portals and distributed backend systems. Designs end-to-end test strategies, builds UI and API automation frameworks, tests asynchronous AWS-based microservices, drives performance and resilience testing, integrates suites into CI/CD, improves test reliability and observability, and mentors QA engineers. Uses AI coding assistants responsibly to accelerate test development and quality workflows while influencing architecture and shifting quality left.

Develop, enhance, and support business-critical mobile applications for Android and iOS. Responsibilities include designing scalable features, integrating enterprise systems and third-party services, monitoring application health, resolving production issues, supporting releases, contributing to CI/CD, conducting code reviews, mentoring junior developers, and improving application reliability, security, and support processes.

Owns platform-level quality strategy for a Reporting/BI domain across multiple scrum teams. Responsibilities include SQL and PL/SQL validation architecture, financial report accuracy, performance benchmarking, API and automation frameworks, security testing, AI-augmented testing, release governance, defect resolution, quality standards, and mentoring senior QA engineers. The role also partners with engineering, product, DevOps, and enterprise clients to drive quality outcomes and delivery decisions.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Design and implement end-to-end automation frameworks and testing strategies for complex frontend and backend features. Own automation roadmaps, improve test coverage and reliability, and build functional, performance, resiliency, and security testing integrated with CI/CD. Develop AI-assisted and agentic QA workflows, scalable testing infrastructure for distributed and cloud-native systems, observability-driven validation, and predictive quality tooling. Collaborate cross-functionally with engineering, product, platform, and QA teams while mentoring other engineers.

Build and maintain web and mobile systems supporting field-worker onboarding, device assignment, attendance, data collection, uploads, payments, dashboards, and operational workflows. Integrate storage and data-quality systems, improve reliability under poor connectivity, automate manual processes, monitor deployments, and troubleshoot production issues. The role partners closely with founders and operations teams, owning features end to end across frontend, backend, infrastructure, testing, deployment, and support.

Develop and lead architecture for a scalable AI application platform. Design, implement, test, debug, and optimize distributed systems and cloud services, while improving performance, scalability, reliability, and developer experience. Collaborate across research, product, design, and engineering teams; contribute to code reviews and development practices; mentor engineers; and own complex projects from problem identification through delivery.

Design, build, and optimize secure, scalable distributed systems supporting analytics, business intelligence, and reporting. Lead architecture and technical decisions, develop cloud-native solutions, improve performance and reliability, mentor engineers, collaborate with internal and external stakeholders, and participate in on-call support.

Leads multiple software engineering teams or a complex engineering domain, setting priorities, ensuring delivery outcomes, guiding architecture and DevOps adoption, managing risks and dependencies, and developing engineering talent. Partners with architecture, DevOps, AI, and enablement leaders to shape enterprise engineering practices, governance, investment decisions, and scalable software solutions.

Owns end-to-end product features across the full stack, including conversational voice and email AI agents, LLM tool orchestration, deterministic safeguards, evaluation frameworks, vector search, monitoring, tracing, and staged production releases. The role requires strong product judgment, system-design skills, real-time processing experience, and independent execution in a remote India-based environment.

Develop and troubleshoot software for new and existing products, coordinate releases and installations, resolve technical issues, support testing and quality controls, and monitor software security. The role also analyzes system requirements, performs post-release health checks, prepares project status reports, and collaborates with engineering teams and customers to address problems and improve performance.

Own the architecture and technical direction of Egnyte’s distributed data migration platform, including customer agents, cloud control planes, and cloud-to-cloud services. Improve performance, reliability, data integrity, observability, and deployment safety across large-scale migrations. Lead incident response, technical design, cross-functional escalations, mentoring, and engineering quality improvements.

Own the full mobile engineering lifecycle, including Flutter and Dart development, native iOS and Android integrations, architecture, CI/CD, testing, releases, monitoring, performance, and incident response. Build GitHub Actions and Fastlane pipelines, manage app-store compliance and SDK upgrades, troubleshoot production issues, and improve reliability and developer experience. Partner cross-functionally with Product, Design, Backend, Platform, Security, and Support teams while mentoring engineers.

Design and scale cloud and Kubernetes infrastructure, distributed systems, CI/CD, observability, and deployment tooling. Build production-grade AI agents for infrastructure and engineering workflows, including tool use, evaluation, permissions, guardrails, and failure handling. Improve reliability, performance, and cloud efficiency; troubleshoot across application and infrastructure layers; mentor engineers; document architecture; and participate in on-call operations.