Top AWS Jobs in Pune

Build and modernize responsive enterprise web interfaces using JavaScript, HTML, CSS, AngularJS, and legacy ExtJS. Collaborate with UX, product, and backend teams; consume and enhance Java/Groovy REST APIs; prototype workflows; instrument frontend telemetry; and develop automated cross-browser tests. The role owns features from wireframes through production, supports Agile delivery, and improves performance across desktop and mobile viewports.

Develop and support full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; writing and reviewing code; developing CRUD APIs and microservices; supporting production incidents; participating in Agile planning and user-story refinement; and deploying applications in cloud environments. The role requires collaboration with product, Scrum, and architecture teams and hands-on experience with Java, React or Angular, SQL, Kubernetes, messaging systems, and cloud platforms.

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.

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

Develop secure, scalable full-stack applications using Java, Spring Boot, REST APIs, relational databases, and modern frontend frameworks. Build cloud-native microservices, CI/CD pipelines, and containerized deployments while contributing to architecture, Agile ceremonies, testing, and production support. Work with Databricks, Spark, ETL, Delta Lake, and AI/ML integrations, including Python-based AI applications. Collaborate with product owners and global technical teams to deliver high-quality software and visualizations.

Build data engineering solutions that ingest, aggregate, unify, and analyze high-volume data from diverse sources. Develop data pipelines and models using Cloudera, Databricks, AWS, Hadoop, Python, and SQL. Partner with product, data science, platform, technology, client, and sales teams to deliver actionable insights, prototypes, business intelligence, and innovative cyber, fraud, security, and digital identity products.

Operate and improve multi‑cloud (AWS/Azure/hybrid) platforms with SRE practices: lead incident triage and RCA, manage Kubernetes and CI/CD pipelines, implement IaC and automation, enhance observability/AIOps, and drive DevSecOps and operational excellence across global 24x7 operations.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

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.

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.

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.

Develop and maintain scalable, reliable backend microservices and REST/GraphQL APIs for SailPoint’s cloud-native identity security SaaS platform. Responsibilities include API strategy, system design, Java development, testing, code reviews, cloud deployment, stakeholder collaboration, production support, and leading small projects. The role also involves working with AWS, event-driven architecture, observability tools, and multi-tenant systems while mentoring less experienced engineers.

Lead end-to-end cloud technology consulting projects, delivering scalable and cost-optimized solutions for clients. Provide technical expertise, manage project delivery, mentor teams, develop business cases, troubleshoot data and application interactions, and collaborate globally with clients and internal experts. The role requires experience with major cloud platforms, enterprise data management, advanced analytics, automation, application development, and agile delivery.

Leads complex security incident investigations, performing endpoint, memory, cloud, and digital forensic analysis. Coordinates containment, eradication, recovery, stakeholder communications, and closure. Maintains incident response playbooks, supports readiness exercises, develops metrics, and identifies automation opportunities. Requires hands-on experience with Microsoft Sentinel, multi-cloud investigations, forensic tools, evidence preservation, attacker techniques, and defensible reporting.

Designs, deploys, and manages secure AWS infrastructure and Kubernetes clusters using EKS, Terraform, Docker, and Helm. Builds CI/CD pipelines, implements monitoring and centralized logging, applies cloud security and compliance practices, optimizes costs, and supports cloud governance. The role also involves troubleshooting complex infrastructure issues, collaborating cross-functionally, working rotational shifts, and traveling as needed for client engagements.

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.

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.

Build and maintain advanced threat detections and hunting logic across AWS and cloud infrastructures. Develop Python-based tooling, YAML and Sigma-like rules, GitLab CI/CD pipelines, automated playbooks, and scalable data workflows using Hadoop, Athena, and data lakes. Apply threat research, MITRE ATT&CK, and detection engineering practices to improve security visibility. The role includes operational support, weekend night shifts, and on-call rotations.

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.

Develop generative AI and machine learning solutions for anti-money-laundering transaction monitoring. Responsibilities include building RAG and agentic workflows, fine-tuning foundation models, creating multimodal and computer vision applications, evaluating model quality and bias, implementing AI observability, and deploying secure, scalable systems on cloud and data platforms. The role also contributes to MLOps, production integration, research adoption, and collaboration with technical and non-technical stakeholders.

Own the strategy, roadmap, lifecycle, and execution of Mastercard’s Data and AI platform. Partner with engineering, security, compliance, legal, vendors, and stakeholders to define requirements, prioritize features, address performance challenges, and drive adoption and revenue. The role requires experience with SaaS data platforms, cloud and on-premises storage, multi-tenant architectures, AI/ML technologies, Agile product ownership, and enterprise platform development.

Leads and mentors software engineering teams developing scalable Java applications and microservices for high-volume card payment platforms. Owns architecture, design quality, cloud modernization, Agile delivery, operational excellence, security, and production reliability. Manages hiring, performance, career development, risks, dependencies, and cross-functional coordination while solving complex payment processing and settlement issues.

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.

Manages software engineering teams and owns end-to-end delivery of analytics and business intelligence solutions. Responsibilities include people management, technical strategy, architecture and system design, code and deliverable reviews, quality and security oversight, technical debt management, innovation, stakeholder coordination, and Agile delivery. The role requires expertise in React.js, .NET, AWS, databases, Hadoop, Spark, Databricks, big-data analytics, CI/CD, DevOps, and automation.