Top Software Engineer Jobs in Pune

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.

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.

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 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.

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.

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.

Design, develop and maintain high-performance mainframe payment systems using COBOL, DB2, CICS, JCL and TWS. Lead technical solutions, drive automation and quality initiatives, coordinate across teams and present project metrics. Mentor junior engineers and support full lifecycle Agile development.

Develop and maintain production software for a cloud-native distributed SQL database. Responsibilities include designing, coding, testing, and deploying new and existing projects involving query optimization, fault tolerance, server architecture, concurrency, multithreading, LLMs, vector indexes, SIMD, and LLVM code generation. Engineers collaborate across teams, own projects end to end, and contribute throughout the product lifecycle.

Develop Windows-based automotive diagnostic applications using C#/.NET, WPF or WinForms, UDS, ISO-TP, CAN/CAN FD, and MVVM. Responsibilities include ECU diagnostics, firmware flashing, CAN hardware integration, UDS service implementation, checksum and CRC verification, and robust retry, timeout, and recovery handling. The role requires expertise in multithreaded software development, automotive communication protocols, and firmware formats.

Develop diagnostic desktop software for automotive ECU systems using C# and .NET. Build WPF or WinForms applications with MVVM, asynchronous programming, and multithreading. Implement and support UDS and ECU flashing functionality, integrating CAN, CAN FD, and ISO-TP communications through hardware APIs such as Vector XL, PCAN-Basic, Kvaser CANlib, Vehicle Spy, or NI-XNET.

Leads full-stack design, development, debugging, testing, and maintenance of Vertiv’s cloud platform for remote services. Builds Angular and .NET Core solutions, develops reusable components and prototypes, collaborates on architecture and interfaces, estimates work, manages user stories, mitigates risks, and provides technical recommendations. The role requires expertise in web development, databases, REST services, software design patterns, cloud platforms, security principles, and agile collaboration.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.

Build and iterate on full-stack systems powering autonomous AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

Build and operate a high-performance search platform serving billions of documents and hundreds of queries per second. Responsibilities include scaling distributed systems, migrating legacy architecture with zero downtime, improving monitoring and deployment practices, profiling and optimizing performance, and developing reliable data pipelines and real-time processing systems.

Develop and lead scalable cloud-native SaaS features using ReactJS, TypeScript, GraphQL, and NodeJS. Translate business needs into technical solutions, troubleshoot complex issues, mentor junior engineers, improve development processes, and advocate for modern technologies. Collaborate cross-functionally and with customers to deliver high-quality government software, including AI-driven user experiences, agents, and workflow automation.

The role involves developing full-stack web apps, creating APIs, improving lead capture models, and collaborating across teams to enhance the Social Planner product.

Own end-to-end development of modules across Amtech’s AWS-hosted .NET/C# Cloud API and legacy 4D ERP platform. Design RESTful APIs, integrate AWS services, resolve complex business-logic issues, improve testing and reliability, maintain data integrity, participate in Agile ceremonies and code reviews, and mentor junior engineers. The role requires independent technical judgment across modern and legacy enterprise systems, with opportunities to use AI-assisted development tools.

Designs, develops, maintains, and troubleshoots Workday integrations, reports, dashboards, and security configurations. Supports payroll, benefits, recruiting, financial, time, absence, talent, and performance processes. Translates HR requirements into Workday solutions, manages releases, investigates integration and reporting issues, documents technical processes, and supports SOX audits, access reviews, and change control while collaborating with cross-functional stakeholders and middleware teams.

Own the enterprise-wide architectural vision for a cloud-native, AI-enabled SaaS platform. Define multi-year technical roadmaps, govern frontend, backend, microservices, APIs, and cloud standards, conduct design reviews, resolve performance issues, write reference code, and architect agentic AI integrations. Partner with product and engineering leadership while mentoring senior and principal engineers across teams.

Designs, develops, deploys, tests, and reviews software applications, features, and defect fixes. Collaborates with team leaders and users to support a product roadmap, analyze requirements, document software, provide developer-level support, and learn existing codebases. The role also involves participating in planning meetings, conferences, and occasional team travel.

Develop and maintain React Native features for iOS and Android while supporting existing Swift and Kotlin applications. Own WebView-based learning experiences, authentication, deep links, native-to-web communication, offline support, push notifications, biometrics, and device permissions. Manage mobile CI/CD pipelines and app releases, write tests, resolve production issues, monitor stability, and collaborate with product, design, QA, and backend teams.

Develop and lead scalable SaaS features for government-focused products using ReactJS, TypeScript, GraphQL, and NodeJS. Translate business requirements into technical solutions, troubleshoot complex issues, mentor engineers, improve development processes, and promote operational excellence. The role requires full-stack development, cloud-native application experience, AI-driven UX familiarity, event-driven architecture, API integration, observability, and AWS or Azure expertise.

Build and improve full-stack APIs, microservices, database models, and frontend experiences for enterprise government software. Own features from problem definition through production monitoring, collaborate with Product and Design, and develop AI-powered workflows and user experiences. Use AI-assisted coding tools, review human- and AI-generated code, mentor teammates, improve engineering processes, and work directly with customers in a fast-paced SaaS environment.

Leads the design and development of scalable AI-powered productivity tools and modern web applications. Responsibilities include architecting generative AI and RAG workflows, integrating LLMs, adopting AWS or GCP cloud-native architectures, collaborating cross-functionally, mentoring engineers, and driving technical initiatives that improve employee productivity.

Design, develop, test, deploy, and maintain scalable Java and Spring Boot backend services, REST APIs, and microservices. Work with PostgreSQL, SQL, JPA/Hibernate, Azure, Docker, Kubernetes, and CI/CD pipelines. Apply distributed-systems, security, testing, observability, and performance practices. Troubleshoot production issues, contribute to architecture decisions, collaborate across technical teams, and mentor junior and mid-level engineers.