Top Tech Jobs & Startup Jobs in Pune

Design, develop, and manage cloud-native distributed systems, microservices, and platform components across the full software lifecycle. Lead architecture, Kubernetes platform engineering, CI/CD, test automation, observability, DevSecOps, reliability, and AI-powered engineering automation. Mentor engineers, drive technical standards, and collaborate cross-functionally. Serve additionally as Scrum Master for a SAFe agile team, supporting planning and delivery commitments.

Designs and develops high-performance hardware, leading board design, testing, debugging, and system integration. Collaborates with software and product teams, documents specifications and test plans, ensures quality and regulatory compliance, estimates development work, and mentors junior engineers. The role requires hands-on laboratory experience, EDA tool proficiency, strong hardware design knowledge, and the ability to manage multiple projects independently.

Develop, qualify, and sustain thermo-mechanical manufacturing processes for high-performance electronic and optical products. Responsibilities include mechanical assembly, thermal interface and heat sink integration, tooling and fixture development, warpage and dimensional analysis, metrology, GD&T, tolerance stack-ups, reliability testing, NPI support, root-cause investigations, and process optimization through high-volume manufacturing. The role collaborates with design teams and suppliers to implement DFM, DFA, and DFR principles and improve yield and product quality.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test frameworks; developing tests with Python, Java, or Go; integrating testing into CI/CD pipelines; applying AI/ML for test generation and defect analysis; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and executes test strategies for optical DWDM and OTN equipment and protocols. Develops automated testing frameworks, creates test plans and scripts, analyzes results, identifies product issues, and supports system security and reliability. Collaborates with development and cross-functional teams to resolve customer-found issues, maintains testing documentation, and stays current with optical networking technologies.

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.

Define and evolve scalable, secure, cloud-native EMS architectures for autonomous telecom networks. Lead requirements analysis, system design, development, troubleshooting, performance optimization, and technical decisions. Build multi-agent pipelines and agent harnesses, drive AI-enabled SDLC adoption, and modernize engineering practices using Java, microservices, Kubernetes, OpenShift, automated testing, and CI/CD. Collaborate across product, platform, architecture, verification, and network-element teams while mentoring engineers.

Troubleshoot complex IP network, hardware, and software issues for customers and field teams. Lead deployments, resolve critical trouble tickets, perform root cause analysis, recommend corrective actions, and provide technical requirements for product enhancements and releases. Mentor support teams, contribute to documentation and customer notifications, support production networks, and advise on IP product integration, access network nodes, and emergency issue restoration.

Lead complex AI cloud data center projects from planning through delivery, including front-end and back-end network integration. Collaborate with engineering, operations, IT, GPU cloud providers, hyperscalers, clients, and partners. Manage risks, resources, timelines, compliance, stakeholder relationships, contracts, performance reviews, and project documentation while identifying emerging technology and business opportunities.