Top Engineering Jobs in Pune

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Leads quality engineering for consumer-facing web and mobile experiences. Designs scalable automation frameworks, develops functional, API, integration, regression, and end-to-end test suites, and integrates quality gates into CI/CD pipelines. Validates accessibility, performance, reliability, and cross-device behavior; investigates defects, analyzes quality metrics, and drives continuous improvement. Collaborates with product and engineering teams, mentors engineers, and applies AI-assisted testing practices.

Design, build, optimize, and support scalable consumer-facing mobile applications across iOS and Android using React Native, TypeScript, and JavaScript. Develop native integrations, reusable components, secure architectures, API integrations, automated testing, CI/CD pipelines, and production monitoring. Collaborate cross-functionally, contribute to releases and Agile delivery, mentor engineers, conduct code reviews, and drive mobile engineering excellence, accessibility, performance, and reliability.

Leads Twilio Segment’s data platform and pipeline engineering team, building high-scale ingestion, routing, and distributed data-processing systems. Responsibilities include architecting reliable cloud systems, guiding technical decisions, improving cost and performance, mentoring engineers, driving agile and automation practices, and translating technical strategy for stakeholders. The role requires managing software teams, overseeing multiple workstreams, and maintaining operational excellence across highly available systems processing large volumes of data.

As a Principal Software Engineer, you will lead technical initiatives, design software solutions, and collaborate with cross-functional teams in financial services.

Leads high-performing data and AI engineering teams delivering scalable data products, analytics foundations, AI/ML capabilities, and reliable cloud platforms. Responsibilities include people leadership, stakeholder partnership, architecture governance, product delivery from prototype to production, data modeling and pipelines, AI-assisted development, DevOps/DataOps, security, observability, incident management, and continuous improvement.

Owns data quality and reliability for data engineering projects by defining testing strategies, building scalable automation frameworks, validating pipelines and analytical platforms, and managing release readiness. The role covers backend and pipeline testing, data integrity, ETL/ELT validation, AI-augmented test development, governance, code reviews, and reducing manual testing. It requires close collaboration with data engineering, product, and data science teams.

Lead engineering for Barclays’ Markets Sales Technology platforms, designing and delivering scalable, resilient cloud-native applications. Responsibilities include developing microservices, APIs, event-driven solutions, and AWS-based systems; building CI/CD automation; improving testing, observability, security, performance, and operational stability; assessing risk, capacity, and cost; supporting governance; and collaborating with product, architecture, data, infrastructure, and business stakeholders. The role also provides technical leadership, strategic guidance, stakeholder influence, and coaching.

Own Rubiscape’s Spec Engineering methodology, including specification grammar, templates, tooling, reviews, quality metrics, and a shared spec library. Lead and mentor 2–4 Spec Engineers while partnering with product, UX, engineering, prompt engineering, and AI toolchain teams. Translate product requirements into precise, testable, LLM-executable specifications and coach the organization on AI-assisted development practices.

Own engineering programme roadmap execution across six studios and shared platform workstreams. Lead SAFe PI Planning, capacity and resource planning, dependency tracking, RAID management, release governance, stage-gate reviews, customer communications, and post-release SLA tracking. Partner with Finance and engineering leadership on budgets, headcount, investment prioritization, and ROI. Deliver executive programme health reporting and establish standardized programme-management processes, templates, and tooling across delivery teams.

Design, test, and refine prompt systems for production LLM agents supporting code generation, specification parsing, code review, documentation, and enterprise reasoning. Build versioned prompt libraries and evaluation frameworks, measure performance, investigate hallucinations and other failure modes, and collaborate with engineering teams to integrate reliable prompts into AI workflows. The role also requires documenting prompt decisions and staying current with techniques such as RAG, structured outputs, chain-of-thought, and tool use.

The position involves customer interaction for technical data, BOM management, product specifications evaluation, and supplier coordination in an automotive engineering context.

Lead engineering delivery of FNZ's data platform including streaming data, analytical warehouse, AI/ML capabilities, and platform security, while mentoring teams and managing stakeholder communications.

The Engineering Manager for Salesforce will build and lead a high-performing team, ensuring quality delivery, fostering collaboration, and managing engineering deliverables in alignment with business goals.

Leads technology alignment, competitive intelligence, product portfolio strategy, and market value positioning. Partners with sales, business groups, and customers to improve products and services, provides technology trend insights, mentors staff, manages resources, and leads small projects in global, multicultural environments.

Owns technical direction for enterprise agentic AI solutions across application, cloud, data, and AI layers. Leads architecture decisions, deployment standards, security reviews, reusable infrastructure, CI/CD practices, and production monitoring. Mentors Forward Deployed Engineers toward independent delivery, guides design and code reviews, prototypes high-risk components, and resolves critical blockers. The role emphasizes technical leadership, scalable deployment capability, cloud cost discipline, agent evaluation, guardrails, and operational reliability rather than sustained feature development.

Researches, writes, edits, and formats customer-facing technical documentation, including user manuals, online help, installation guides, API documentation, and command reference guides. Interviews engineers and technical personnel to gather accurate information, follows Vertiv and OEM standards, supports localization and international teams, and manages multiple documentation projects across product lines and time zones.

Build and maintain shared backend platform services, SDKs, API gateway capabilities, service mesh configurations, event bus patterns, AI integrations, and observability systems. Establish API standards, contract testing, documentation, reliability practices, and SLO monitoring. The role also includes incident response, mentoring engineers, code quality ownership, and collaboration across twelve product squads to deliver secure, stable, developer-friendly platform infrastructure.

Lead and manage AI engineering teams to design, build, and maintain scalable ML/GenAI infrastructure and deployment pipelines on AWS. Drive technical strategy, governance, CI/CD and IaC practices, mentor staff, collaborate with stakeholders, and ensure secure, high-quality delivery aligned to business objectives.

Build and guide modern Java and Spring Boot services using microservices, distributed systems, APIs, Kafka, and event-driven architecture. Develop Angular interfaces with component-driven UI design and modern frontend tooling. Apply OpenAPI, OAuth2/JWT, and gateway patterns, while supporting cloud infrastructure, Kubernetes, containerization, observability, reliability engineering, incident response, and performance tuning. Blockchain knowledge is a plus.

Lead product strategy and development for data management solutions in life sciences, ensuring market relevance and user satisfaction while managing lifecycle and stakeholder alignment.

The Sr. Manager of Software Engineering leads a global team to develop high-quality software, manage resources, and implement strategies to achieve organizational goals.

Lead and deliver enterprise Salesforce platform engineering, driving architecture, integrations, CI/CD, governance, security, and cross‑functional collaboration to meet business outcomes in a regulated environment.

Design, develop, and optimize highly reliable, scalable backend services and APIs. Monitor performance, identify bottlenecks, and implement system-level optimizations for high-throughput environments. Build asynchronous and multithreaded systems using Rust or C++, deploy production software on Linux, and collaborate cross-functionally on complex technical challenges. Experience with trading systems, databases, and financial or security-constrained systems is advantageous.