Top AWS Jobs in Pune

Designs, deploys, and drives adoption of New Relic observability solutions for strategic customers. Architects scalable monitoring for microservices, serverless, and distributed systems; integrates observability with cloud platforms, IaC, CI/CD, and platform engineering workflows; leads technical workshops; troubleshoots deployments; and creates documentation, training, and implementation best practices.

Design, build, and scale secure platform services and frameworks that support multiple products and engineering teams. The role drives architecture decisions, improves performance, observability, reliability, and developer productivity, and resolves production issues and technical risks. Responsibilities include collaborating with engineering teams, maintaining code quality, applying distributed systems and cloud technologies, and mentoring junior engineers.

Develop scalable platforms and services for Mastercard’s Priceless platform. Responsibilities include hands-on software development, code reviews, collaboration with product and design teams, automated testing, CI/CD, cloud-native development, DevOps, stakeholder communication, and maintaining quality, reliability, security, and system performance.

Build and maintain large-scale data platforms, databases, ETL pipelines, and data solutions. Develop optimized SQL, Spark, Kafka, and streaming applications; support deployments, production code, data security, automation, data modeling, and quality improvements. Partner with analysts, data scientists, and stakeholders on investigations, data extraction, transformation, analysis, root-cause analysis, and ad hoc business requests.

Supports cloud, application, infrastructure, container, and Kubernetes security engineering. Contributes to multi-cloud controls, IAM policies, policy-as-code guardrails, vulnerability triage, compliance evidence gathering, security automation, and secure AI system monitoring. The role also involves scripting, documentation, root-cause analysis, and collaboration with Engineering, IT, Compliance, and senior security engineers.

Lead security engineering efforts across multi-cloud environments by designing cloud security controls, policy-as-code guardrails, container protections, and automated remediation. Own vulnerability management and incident escalation, conduct forensics and root-cause analysis, translate compliance requirements into technical controls, and automate evidence collection. Mentor engineers, oversee threat modeling and architecture reviews, maintain security documentation, and participate in on-call operations.

Designs and implements multi-cloud security controls, policy-as-code guardrails, IAM and network protections, container and Kubernetes security, vulnerability remediation, and incident response tooling. Partners with engineering, IT, compliance, and risk teams on audits and control validation. The role also mentors security engineers, supports root-cause analysis, improves response runbooks, and participates in on-call rotations.

Lead end-to-end cloud technology consulting projects, delivering scalable and cost-effective solutions for clients. Manage project delivery, facilitate client and internal collaboration, develop business cases, troubleshoot technology interactions, and mentor global project teams. Apply expertise in cloud platforms, enterprise data management, analytics, automation, application development, and Agile delivery. The role involves client-facing work, hybrid office presence, and travel as required.

Design, develop, and optimize scalable big data applications and ETL/ELT pipelines using Scala, Apache Spark, and distributed data technologies. Build reusable processing frameworks, tune Spark jobs, troubleshoot production issues, implement data-quality monitoring, and collaborate with technical and business teams. Apply software engineering practices including testing, code reviews, Git, and CI/CD while working with Hadoop, HDFS, Hive, Kafka, and Spark SQL.

Design, build, and scale secure, reliable platform services and frameworks supporting multiple products and engineering teams. Drive architecture and platform strategy, improve performance, observability, and operational efficiency, and ensure strong code quality. Collaborate with engineering teams, resolve technical risks and production issues, and mentor junior engineers. The role requires backend or platform development experience, distributed systems knowledge, cloud expertise, containerization, orchestration, databases, and database performance tuning.

Designs, administers, secures, patches, upgrades, and optimizes Microsoft SQL Server databases across on-premises and cloud environments. Monitors performance, troubleshoots incidents, manages backup and recovery, implements database changes, and supports release processes. Partners with engineering and analytics teams, architects database solutions, improves change controls and best practices, mentors team members, and provides on-call support.

Develops and delivers secure, mission-critical software solutions from design through deployment. Responsibilities include writing and reviewing code, testing, debugging, CI/CD automation, API and service integration, architecture development, release orchestration, operational improvements, and incident mitigation. The role collaborates with product stakeholders, manages delivery risks and metrics, conducts demonstrations, drives engineering standards, and mentors less-experienced engineers.

Develop and test high-performance software for Mastercard’s real-time decision management and fraud prevention platform. Drive quality engineering practices, automate acceptance, integration, functional, and non-functional testing, and improve CI/CD and release processes. Collaborate with developers to build reliable, performant, and testable systems using Java, microservices, cloud technologies, and observability tools. Mentor team members while remaining hands-on in development and test automation.

Lead the technical direction, architecture, training, fine-tuning, evaluation, and production deployment of LLM and agentic AI systems for cybersecurity products. Optimize inference at scale, establish engineering standards and release evaluations, make model strategy decisions, resolve complex technical trade-offs, and mentor senior engineers. The role remains hands-on while influencing cross-team product and platform investments.

Build and productionize AI-powered applications, backend services, RAG solutions, MCP integrations, and agentic workflows. Translate requirements into secure, scalable software; establish AI evaluation and validation standards; implement testing, CI/CD, observability, resilience, privacy, compliance, and Responsible AI controls. Collaborate with cross-functional teams to deliver reliable enterprise solutions in an Agile environment.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to deliver customer-focused features, improves development processes, reviews code, mentors junior engineers, and collaborates across global teams. The role requires strong Java and modern web development expertise, cloud-native experience, distributed systems knowledge, automated testing skills, and proficiency in agile software engineering.

Leads the architecture and delivery of secure, scalable enterprise infrastructure across on-premises, hybrid-cloud, and cloud environments. Partners with engineering, security, network, and product teams to drive platform modernization, automation, Infrastructure-as-Code, resiliency, performance, and operational excellence. Develops architecture standards, roadmaps, and documentation while ensuring availability, compliance, disaster recovery, and security requirements for mission-critical platforms.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

Develop and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, implement microservices and APIs, ensure security and code quality, and support testing, deployment, monitoring, and incident remediation. Contribute to CI/CD automation, Agile ceremonies, technical documentation, proof-of-concepts, and AI-assisted software development practices. Work with relational and NoSQL databases, containers, DevOps tools, and emerging AI technologies.

Designs, develops, supports, and optimizes scalable data pipelines and distributed processing workloads. Writes production-grade Python, PySpark, and SQL; tunes Spark and SQL performance; troubleshoots Linux and AWS infrastructure; improves monitoring, reliability, security, and cost efficiency; performs root cause analysis; and collaborates with engineering, product, architecture, and operations teams. The role also supports AI-enabled data workflows using LLMs, Amazon Bedrock, Agentic AI, and MCP.

Architect and deliver high-performance Angular-based UI experiences for SailPoint’s cloud SaaS product. Build responsive TypeScript components, define REST API contracts with microservices teams, resolve customer UI issues, improve frontend architecture and automated test coverage, and prevent critical regressions. The role also includes mentoring engineers, collaborating with UX and Product Management, estimating quarterly epics, and leading frontend architecture planning in an Agile environment.

Leads the design, modernization, development, and deployment of Java microservices applications. Provides technical direction to backend and SDET teams, designs REST APIs and distributed integrations, manages Kubernetes deployments and CI/CD pipelines, and coordinates regional releases. Responsibilities include code and architecture reviews, performance optimization, observability, secure coding, automated testing, production troubleshooting, incident management, and stakeholder coordination.

Leads complex, cross-functional technology programs across engineering, architecture, product, security, infrastructure, and operations teams. Owns program planning, dependencies, risks, delivery milestones, migrations, modernization, release governance, operational readiness, executive reporting, and incident war rooms. Drives alignment, resolves blockers, improves governance and delivery predictability, and mentors TPMs and project leads.

Leads architecture and design for scalable, highly available payment services. Responsibilities include creating high-level and low-level designs, developing critical components, preparing proofs of concept, conducting code reviews, mentoring engineers, documenting designs, managing source control operations, evaluating technologies, and improving engineering processes. The role requires expertise in Java, Spring, databases, NoSQL, messaging, microservices, cloud deployment, testing, Agile practices, security concepts, and enterprise application design.

Lead test automation, SRE, DevOps, and infrastructure automation initiatives for Mastercard’s cloud-native Priceless Platform. Build automated testing frameworks, CI/CD integrations, observability, monitoring, and deployment automation. Improve reliability, scalability, security, and release velocity through chaos engineering, performance testing, capacity planning, incident response, and disaster recovery practices. Mentor engineers, lead technical reviews, support production systems, and foster shared ownership and continuous improvement.