Top Software Engineer Jobs in Pune

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Design, develop and deliver secure software solutions across the full SDLC. Define requirements, create design and test artifacts, lead development and maintenance, perform incident management and on-call support, run PoCs, evaluate vendor solutions, mentor and train team members, coordinate offshore resources, and promote QA, performance benchmarking and security best practices.

Build and ship scalable SaaS features for government agencies using ReactJS, TypeScript, GraphQL, NodeJS, and Python. Responsibilities include end-to-end full-stack development, technical design, debugging, cross-functional collaboration, AI-driven workflow development, operational improvement, and mentoring junior engineers. The role requires expertise in software engineering fundamentals, databases, algorithms, observability, GraphQL APIs, and event-driven architecture.

Own end-to-end machine learning for ecommerce discovery, including recommendation and ranking models, low-latency Python serving, batch pipelines, A/B testing, and production deployments. Operate containerized services on Kubernetes, monitor systems, and extend LLM-powered shopping and catalog applications. The role requires strong recommender systems, search ranking, embeddings, vector databases, streaming, and production ML experience.

Develop and maintain scalable backend, frontend, or full-stack applications serving 100K+ users. The role requires strong programming, data structures, algorithms, object-oriented programming, system design, API, database, and scalable architecture skills. Candidates will build high-traffic products, ensure performance and reliability, use AI coding assistants effectively, and demonstrate strong problem-solving and ownership.

Design, develop, test, debug, and support software solutions across modern and legacy technologies. Collaborate on requirements, code reviews, pair programming, security, risk mitigation, and delivery estimates. Improve engineering processes and product quality while contributing to AI-assisted development, innovation, and continuous professional growth. The role operates independently on well-scoped tasks and supports less experienced team members.

Design, build, and operate scalable AI-powered enterprise applications for seller experiences. Develop AI agents, Copilot solutions, full-stack web applications, backend services, APIs, Dynamics 365 integrations, and Azure cloud-native platforms. Lead work across architecture, implementation, testing, deployment, security, reliability, and observability. Collaborate with product, design, data science, security, and engineering teams while driving technical strategy, platform improvements, and engineering excellence.

Lead full‑stack development and technical leadership for CFRA's next‑generation customer‑facing web applications. Mentor the team, design scalable React/TypeScript frontends and Python backends on AWS, collaborate with product stakeholders, follow Agile practices, resolve production issues, and drive continuous improvement.

Lead the design and development of quantitative data engineering models, algorithms, data pipelines, and processing systems on AWS using Python. Build scalable pipelines that ingest, transform, validate, and aggregate large datasets. Develop statistical and machine learning algorithms, optimize performance, evaluate models, create visualizations, and document methodologies. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable customer-facing quantitative solutions and actionable insights.

Design, develop, and modernize enterprise Sitecore content management platforms. Build scalable Sitecore solutions, headless integrations, APIs, and digital architectures while optimizing performance, reliability, security, and compliance. Collaborate with product, design, DevOps, and marketing teams to deliver integrated web experiences. Troubleshoot complex platform issues, enforce engineering standards, and mentor mid-level developers in an agile environment.

Design and develop software-defined connectivity solutions, managing network services, device management, and ensuring system performance and reliability.

Join AKKO as an SDET focusing on automation and manual testing for software products, ensuring user-friendly experiences and maintaining test integrity.

Senior full-stack engineer responsible for designing, developing, and deploying .NET/Azure-based product features. Collaborate on architecture, APIs, DevOps, security, performance, and release management. Ensure code quality, testing, documentation, and continuous product improvement.

Design, develop, and maintain scalable build, infrastructure, and vulnerability-management tools. Build frontend and backend systems, optimize multi-platform and multi-architecture compilation, improve engineering productivity, and collaborate with cross-functional teams. The role emphasizes software security, reliability, scalability, service-oriented architecture, REST, microservices, databases, SQL, and CI/CD automation.

Build and maintain test automation frameworks for cloud microservices and deployments. Ensure highly available, scalable, secure, performant distributed systems through functional and non-functional testing. Develop organized, efficient code in Python or Go, improve internal processes, and test containers, Kubernetes, infrastructure-as-code, and related cloud technologies in an agile environment.

Design, develop, and maintain scalable cloud-native software and observability platform capabilities. Own end-to-end feature delivery, troubleshoot complex defects and performance issues, conduct root cause analysis, and improve reliability. Build CI/CD pipelines, automation frameworks, containerized deployments, and Kubernetes solutions. Collaborate with architects, product owners, and engineering teams in Agile/Scrum environments while applying modern software practices and AI-assisted development tools.

Designs, builds, and optimizes enterprise-scale software systems and cloud platforms. Develops infrastructure as code with Terraform, automates infrastructure using scripting, and implements CI/CD pipelines. Applies DevSecOps and SRE practices, including monitoring, incident management, and performance tuning. Integrates generative AI into engineering workflows and leads architectural and technical decisions across AWS, Azure, and GCP environments while collaborating with stakeholders and technical teams.

The Software Engineer will design, code, and test features, enhance applications, conduct code reviews, and develop data models while collaborating with the team.

Design, develop, and maintain cloud-native microservices in Java; deploy containerized applications on AWS EKS; work with Aurora/PostgreSQL, Redis; troubleshoot production issues; contribute to architecture and CI/CD.

Build and deliver full-stack features for agency management, onboarding, and billing systems. Develop scalable APIs, microservices, integrations, data models, queries, and modern frontend workflows. Own features through planning, implementation, testing, deployment, monitoring, and production support. Collaborate with product, design, and engineering teams; troubleshoot issues using observability tools; contribute to code reviews, incident resolution, security, reliability, and AI-assisted development practices.

The Lead Software Engineer is responsible for information security, adhering to policies, and ensuring secure access to Mastercard's digital payment systems.

Lead development of scalable microservices and developer tooling using Java/Go (or Python). Design, implement, test, and operate secure, high-performance services, CI/CD pipelines, containerized deployments, and monitoring. Mentor engineers, collaborate cross-functionally, and champion engineering standards, secure SDLC, and developer experience initiatives.

Develop Python-based test frameworks and CI/CD automation for NVIDIA Metropolis AI and video analytics workflows. Build functional, integration, system, and end-to-end validation across cloud, data center, workstation, and edge platforms. Validate distributed microservices, GPU deployments, video search and summarization, AI agents, and computer vision pipelines. Benchmark accuracy, latency, scalability, and reliability while using Docker, Kubernetes, Helm, and AI-powered tools to improve testing, debugging, coverage, and regression analysis.

Develop and optimize on-device AI inference stacks and runtimes for RTX and DGX systems. Collaborate with cross-functional teams to design high-performance, memory-efficient inference pipelines, apply model optimizations (quantization, pruning, distillation), perform system-level debugging and performance tuning, and build infrastructure for performance/accuracy evaluation and production readiness.

Design and optimize on-device AI inference stacks for RTX and DGX systems. Build inference runtimes, optimize models and pipelines (quantization, pruning), perform system-level debugging and performance-accuracy tradeoffs, and collaborate across software, research, architecture, and product teams to ensure production readiness.