Top Engineering Jobs in Pune, MH

Leads complex software engineering projects, designs and implements secure, scalable solutions, and provides architecture guidance. Writes and reviews code, drives automation, CI/CD, testing, performance optimization, incident reduction, and cross-service integration. Researches technologies, develops roadmaps, mentors engineers, conducts technical interviews, and collaborates with product and business stakeholders to prioritize improvements and deliver high-quality applications.

Leads enterprise-scale software engineering initiatives, architecture strategy, cloud-native modernization, and AI-assisted development. Designs scalable APIs, microservices, distributed and event-driven systems; drives security, reliability, testing, observability, and DevSecOps practices. Partners with cross-functional stakeholders, evaluates emerging technologies, resolves complex production issues, and mentors engineers. Requires strong Java and Spring Boot expertise, cloud experience, software architecture knowledge, and leadership across multiple engineering teams and programs.

Develops, deploys, operates, and troubleshoots scalable, low-latency fraud decisioning services across AWS, Kubernetes, cloud, and on-premise environments. Builds CI/CD pipelines, improves observability and reliability, supports production incidents, automates infrastructure, collaborates in Agile Scrum teams, and delivers secure software and technical documentation. The role also incorporates AI-driven incident analysis, anomaly detection, and intelligent CI/CD automation.

Develops and maintains software applications for Mastercard’s Data Governance and Regulations program. Responsibilities include designing solutions, analyzing requirements, coding, testing, documenting, troubleshooting, improving operations, and following the SDLC in an Agile, cross-functional environment. The role requires collaboration across distributed teams, strong communication, and expertise in Java, Spring Boot, REST APIs, NoSQL databases, JSON, PCF cloud technologies, and Angular.

Leads architecture, development, and operational support for scalable transaction lookup APIs and data services. Designs Java microservices, optimizes Oracle and big-data platforms, establishes API and security standards, and drives Kubernetes modernization, CI/CD, observability, reliability, and performance improvements. Partners with product and engineering teams, leads technical design and incident resolution, defines roadmaps, mentors engineers, and promotes engineering excellence across initiatives.

Operate and improve enterprise multi-cloud platforms across AWS, Azure, and hybrid environments. Lead complex incidents, Kubernetes operations, CI/CD troubleshooting, SRE practices, observability, security remediation, infrastructure-as-code, and automated self-healing. Develop automation using scripting languages, support DevSecOps and AIOps capabilities, manage ITIL incident and change processes, and serve as a technical escalation point for global 24x7 operations.

Leads enterprise platform architecture across hybrid and cloud infrastructure, AI platforms, security, compliance, modernization, and sustainability initiatives. Defines target-state architectures, reference patterns, and roadmaps; drives automation and platform simplification; partners with security and technology teams; manages budgets and multiple teams; mentors architects and engineers; and influences executive technology strategy.

Lead the architecture and delivery of enterprise backend services, APIs, distributed systems, cloud-native applications, and agentic AI workflows. Design scalable solutions using Java, Spring Boot, AWS, event-driven architectures, and modern data platforms. Drive modernization, observability, security, reliability, automation, and engineering standards. Mentor engineers, lead technical initiatives, influence platform strategy, and collaborate across product, security, operations, and architecture teams.

Lead the architecture, design, development, and delivery of scalable, cloud-native experimentation and analytics software. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, technical strategy, design reviews, cross-team execution, security, reliability, observability, and continuous delivery while mentoring engineers and collaborating across global teams.

Leads the design and development of Chef-based automation frameworks, configuration management, and platform services for hybrid infrastructure. Builds reusable Infrastructure as Code and CI/CD integrations, automated testing, compliance controls, self-service capabilities, and GitOps workflows. Collaborates with cloud, platform, and security teams to enforce hardened configuration baselines, troubleshoot complex infrastructure issues, and improve observability and operational tooling.