Top Software Engineer Jobs in Pune

Build and manage production AI agents, high-precision RAG pipelines, and LLM-powered features. Develop backend architecture using Postgres, REST APIs, asynchronous programming, queues, storage, RBAC, and encryption. Integrate foundation models, establish evaluation patterns, write automated tests, monitor system health, and collaborate with product managers on reliable, secure AI applications.

Designs, develops, configures, and supports enterprise-scale Fluent Commerce OMS solutions. Builds REST APIs, JSON integrations, webhooks, and asynchronous integrations with ERP, WMS, payment, CRM, loyalty, and eCommerce platforms. Responsibilities include testing, troubleshooting, production support, root cause analysis, code reviews, Agile ceremonies, and mentoring junior developers.

Design, build, debug, and improve software across the YugabyteDB and Meko ecosystems. Work with distributed systems, databases, cloud infrastructure, Kubernetes, APIs, developer tooling, automation, and AI technologies. Investigate complex problems, prototype ideas, deliver production-quality solutions, and improve reliability and engineering productivity. Collaborate across engineering, product, support, architecture, and customer teams while owning ambiguous projects and learning new technologies quickly.

Develop and lead end-to-end features for scalable cloud-native SaaS applications using ReactJS, TypeScript, NodeJS, GraphQL, and modern cloud technologies. Translate customer and business needs into technical solutions, troubleshoot complex issues, mentor engineers, improve development processes, and guide adoption of emerging technologies, including AI-driven user experiences and workflow automation.

Owns DevOps delivery infrastructure across on-premises, cloud, hybrid edge-cloud, and air-gapped environments. Designs GitLab CI/CD pipelines, manages Docker and Kubernetes platforms, implements Terraform and Ansible infrastructure automation, and supports multi-cloud deployments. Leads release management, security and compliance automation, observability, reliability engineering, and automated rollback strategies. Develops Bash and Python tooling while collaborating with architects, developers, QA, and product teams to improve delivery practices and platform resilience.

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.

Design, build, and maintain scalable backend services, REST APIs, distributed data pipelines, and enterprise data ingestion frameworks for a multitenant B2B SaaS platform. Own features from requirements through production, improve scalability and reliability, troubleshoot complex issues, conduct code reviews, mentor engineers, and collaborate with product, architecture, QA, and engineering teams.

Build and evolve Litmos’s platform using .NET, React, and SQL Server. Design microservices, APIs, and front-end components; improve scalability, reliability, observability, and maintainability. Own delivery from development through deployment, including Azure DevOps CI/CD pipelines. Collaborate with Product, UX, database teams, and globally distributed Agile engineers while using AI-assisted development workflows to support design, coding, documentation, and reviews.

Develop kernel- and user-mode device drivers for Ethernovia networking hardware, integrating with Linux and AUTOSAR communication stacks. Own driver architecture, implementation, testing, debugging, and SDK integration for safety-critical automotive systems. Develop stack extensions, utilities, and automated unit and system tests while applying functional safety and engineering standards. The role requires strong C/C++ skills, operating-system and kernel knowledge, hardware integration experience, and familiarity with communication devices and embedded platforms.

Designs, develops, and operates scalable backend systems and APIs for core financial transactions. Responsibilities include architecture, microservices, integrations, automation of testing and deployments, cloud development, database optimization, security implementation, and collaboration with product, engineering, and QA teams in an agile environment.

Design and build scalable Playwright and TypeScript UI/API automation frameworks, integrate testing into CI/CD, reduce flakiness, troubleshoot failures, and establish automation architecture and quality metrics. Apply Agentic AI, LLM evaluation, RAG testing, self-healing automation, and intelligent test analysis. Collaborate with engineering and product teams, contribute to test strategy and architecture reviews, mentor engineers, and develop reusable automation tools and AI-enabled quality engineering solutions.

Develops, configures, customizes, and supports Zoho CRM and related enterprise CRM solutions. Responsibilities include scripting with Deluge and JavaScript, building REST API integrations, automating workflows, creating reports and dashboards, supporting data migrations, troubleshooting systems, and maintaining development, test, and production environments. The role collaborates with architects, analysts, and business stakeholders to deliver scalable CRM solutions across multiple companies.

Build innovative software products in the Special Projects Division addressing public health, agriculture, education, and aid-related challenges in Sub-Saharan Africa. Responsibilities include designing software architectures, developing on UNIX-based platforms, participating in code reviews, using disciplined version control, collaborating with teams, and potentially applying Django, React, Android, or PyTorch. The role may involve travel to Africa to understand local contexts.

Own end-to-end software engineering initiatives from design through production. Develop and improve scalable internal applications, drive cloud and DevOps deployments, and build AI/GenAI solutions using LLMs, RAG, vector databases, and embeddings. Responsibilities include architecture, coding, code reviews, CI/CD, containerization, infrastructure automation, monitoring, observability, technical leadership, mentoring, documentation, and continuous engineering improvement.

Designs and maintains automated test frameworks and suites for functional, integration, load, performance, API, UI, and system testing. Develops test strategies, improves CI/CD automation infrastructure, validates distributed systems, identifies coverage gaps, investigates defects, and enhances software reliability and quality engineering practices in collaboration with engineering and release teams.

Develop and maintain Java Spring Boot microservices, REST APIs, and backend services for enterprise order management and supply chain applications. Design scalable, reliable, secure, and configurable product capabilities; troubleshoot production issues; write tested code; participate in reviews; and collaborate with product, QA, DevOps, and engineering teams. Use AI-assisted development tools responsibly for coding, debugging, testing, documentation, and productivity.

Design, develop, deploy, and maintain scalable distributed systems, real-time platforms, data pipelines, and analytics tools. Build data extraction, transformation, and loading systems using SQL and big data technologies. Work across low-level systems and distributed architectures, collaborate with data science and product teams, and mentor junior engineers.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

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.

Design and develop scalable, resilient cloud architecture integrated with on-premises systems. Drive technical direction, identify platform efficiency opportunities, communicate complex architecture, and implement changes that improve reliability and supportability. Own critical software projects through design, implementation, quality assurance, deployment, and monitoring while providing technical leadership to engineers.

Build and optimize high-performance local AI inference software for NVIDIA RTX and DGX GPUs. Develop inference runtimes and execution stacks, optimize models and data pipelines using quantization, pruning, sparsity, and distillation, and perform system-level debugging and performance analysis. Collaborate with software, research, architecture, and product teams to improve scalability, stability, accuracy, and production readiness across language, vision, speech, and diffusion workloads.

Seeking senior software engineers with proven expertise in at least one technical area, including AI/ML, LLMs, data, full-stack or backend development, automation, cloud infrastructure, and DevOps. Responsibilities include solving complex problems independently, collaborating across technologies, and delivering production-quality projects in a startup environment. Engagements may be project-based or ongoing.

Build, deploy, and operate integrations, data pipelines, automations, internal tools, and AI-enabled workflows connecting business systems. Responsibilities include writing Python, integrating APIs and webhooks, deploying on Google Cloud, monitoring production systems, responding to incidents, evaluating vendors, performing data migrations, and documenting solutions. The role requires end-to-end technical ownership, debugging across system boundaries, testing, and clear communication with business stakeholders.