Top Software Engineer Jobs in Delhi

Architect and develop scalable security platform services using Golang or Java. Define technical roadmaps, manage projects, collaborate with cross-functional stakeholders, write and review well-tested code, debug complex backend systems, improve operational reliability, and mentor engineers. The role focuses on security, compliance, privacy, secrets and key management, identity access management, vulnerabilities, and onchain security capabilities.

Design and build scalable data pipelines, APIs, and data services using cloud and open-source technologies. Ensure data quality, performance, and maintainability, collaborate with cross-functional teams, contribute to engineering best practices, and leverage AI-assisted tools to improve productivity.

Build and own full-stack product features from ambiguous problems through deployment. Partner with Product and Design, make UX decisions, integrate LLM and agent capabilities into trustworthy product experiences, talk with users, instrument releases, and iterate based on usage. The role requires strong product judgment, user empathy, independent execution, and comfort using AI coding tools while collaborating with AI engineers on model behavior.

Build and maintain real-time dashboards and interfaces; develop RESTful APIs and WebSocket endpoints; integrate and visualize IoT and energy device data; implement modular front-end components and secure, scalable back-end services; collaborate with hardware and grid teams; optimize performance and reliability for low-connectivity environments.

Create, execute, and improve manual and automated test plans for web and API applications. Develop QA automation tools, build front-end UI components, reproduce and debug client issues, manage test-environment deployments, and collaborate with product, marketing, and development teams. Own QA processes within Scrum, report testing outcomes, and support usability, end-user experience, and GenAI-related initiatives.

Build production-grade AI applications, backend services, agents, agentic workflows, and MCP integrations using Java and/or Python. Integrate LLMs with enterprise tools, implement prompting, context management, tool calling, memory, evaluation, safety, and reliability patterns. Collaborate cross-functionally on scalable AI architectures, troubleshoot production issues, improve observability and efficiency, support releases, and document engineering best practices.

Build and maintain production services, endpoints, pipelines, and interfaces while training, evaluating, and deploying machine-learning models. Prepare and reconcile government data through ingestion, validation, feature engineering, and testing. Develop reproducible evaluation harnesses, test systems under real-world connectivity and device constraints, participate in code reviews, maintain documentation, and support reliable deployments. The role targets candidates with up to two years of experience or relevant demonstrated academic and project work.

Architect and develop security platform services supporting secrets and key management, identity and access management, onchain security, policy and risk management, and vulnerability management. Define technical roadmaps, build scalable cloud systems using Go or Java, manage project deliverables, mentor engineers, review designs, and maintain backend systems. The role requires solving complex technical problems, ensuring security and operational integrity, and collaborating with engineering, product, design, and leadership teams.

Lead design and implementation of autonomy and edge-AI software for air, land, and sea platforms. Develop tactical autonomy algorithms, integrate software with hardware, deploy and field-test capabilities, analyze mission data, mentor teammates, collaborate cross-functionally, and support customers and defense programs.

Develop and integrate autonomy and edge-AI capabilities using the Hivemind SDK for unmanned platforms across air, sea, and space. Work with customers to deploy and debug integrations, provide technical training, document solutions, collaborate with product teams, and conduct on-site deployments and flight testing (~30% travel).

Develop and integrate Hivemind autonomy capabilities for unmanned platforms across air/sea/space. Collaborate with customers to enable edge-AI, debug integrations, deploy infrastructure at customer sites, provide technical training, document systems, and work with product/engineering to iterate. Travel to customer sites (~30%).

Design and implement the core front-end web application including onboarding, authentication, and quote/bind/pay flows with complex dynamic forms. Build reusable UI libraries and components, drive UI/UX best practices, introduce AI-assisted tooling, perform code reviews, improve system quality and scalability, and collaborate cross-functionally across the stack.

Design, develop, and operate high-quality Java applications, microservices, and distributed cloud systems for Twilio’s identity and access management platform. Collaborate across teams to deliver features, conduct code reviews, troubleshoot production issues, document technical solutions, and maintain coding standards. Use GitHub, Jira, and build/deployment systems while supporting scalable authentication and authorization services.

Provides system-level technical leadership for AI-powered shopping platforms. Owns architecture across mobile, backend, AI, and distributed systems; establishes standards for reliability, scalability, observability, integration, and performance; leads cross-domain technical initiatives; translates strategy into enterprise architectures; resolves systemic constraints; and mentors Principal and Staff engineers.

Participate in developing and maintaining core products, documenting business interfaces, troubleshooting issues identified by QA, and supporting customer-service teams with problem resolution and system improvements. The role requires Java development, Spring microservices, database and middleware knowledge, strong communication, teamwork, and learning ability. Experience with Web3 projects is preferred.

Participate in developing and maintaining core products, compiling business-module interface documentation, troubleshooting issues identified by QA, and helping Customer Support resolve and categorize customer problems. The role is part of a 3–6 month early-career accelerator internship focused on blockchain and digital assets. Candidates should have strong Java, Spring microservices, database, middleware, communication, teamwork, and problem-solving skills.

Design, develop, deploy, and maintain high-performance, scalable Python-based enterprise web applications. Integrate with cross-platform web services, perform performance profiling/tuning, follow Agile processes, and contribute across the full product lifecycle for mission-critical emergency services.

Develop, test, and maintain Android mobile applications using Android SDK and Core Java. Integrate apps with web services, profile and tune performance, use Android testing frameworks, and collaborate in Agile processes. Contribute across the product lifecycle to build reliable, user-facing apps that support large-scale emergency services.

Design, develop, test and maintain telecom-grade embedded C/C++ and IoT applications. Integrate device firmware with cross-platform web services, apply multi-threading and asynchronous communication, perform performance profiling and tuning, and follow Agile lifecycle practices. Contribute across design to deployment and collaborate on mission-critical, large-scale emergency services.

Design, build, and own end-to-end web application modules across backend, frontend, and infrastructure. Integrate LLM-powered features (RAG, embeddings, prompt engineering), ensure code quality with tests and CI/CD, optimize performance and databases, participate in architecture and client discussions, and mentor peers while driving reliable delivery and technical vision.

Create realistic computer-use tasks for AI agents on Linux desktops. Responsibilities include designing multi-step scenarios, preparing files and documents, writing agent instructions, developing Python setup and scoring scripts, testing environments, and documenting tasks. Requires Python, daily AI tool usage, basic AI/ML experience, Ubuntu and virtual machine familiarity, attention to detail, and Git basics. Experience building RL environments or computer-use benchmarks is preferred.

Design, build, and maintain scalable Workato integrations and custom connectors. Architect automation frameworks, integrate AI/LLM services, build ETL/ELT pipelines, and ensure governance, reliability, and performance across enterprise integrations. Collaborate with business and engineering teams, manage deployments, troubleshoot production issues, and mentor stakeholders.

Build responsive, reusable frontend components for geospatial and AI-powered applications. Develop React and Next.js features, integrate REST, GraphQL, WebSocket, and SSE APIs, and maintain shared design systems. Optimize performance, accessibility, cross-browser compatibility, and mobile experiences. Implement authentication, secure token handling, logging, analytics, and error tracking while collaborating with backend, mobile, and design teams to deliver complete product features.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Build, ship, and improve Pebble’s iOS and Android mobile applications while identifying product friction across onboarding, activation, retention, conversion, and monetization. Develop prototypes and experiments, analyze user and product data, define success metrics, and use results to guide future decisions. The role combines production mobile engineering with product ownership, growth experimentation, conversion optimization, and cross-functional collaboration with founders and business leadership.