Top AWS Jobs in Pune

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.

Build and maintain large-scale data platforms, databases, ETL pipelines, and data solutions. Develop optimized SQL, Spark, Kafka, and streaming processes; support data analysts and scientists; perform large-scale extraction and analysis; improve data quality, modeling, architecture, automation, security, and deployment. Collaborate with stakeholders on requirements, investigations, root-cause analysis, and production data artifacts.

Designs, develops, and delivers secure, high-availability software services for Mastercard’s small-business products. The role owns complex cross-service problems, writes and reviews production code, drives automation and CI/CD, improves architecture and operational reliability, supports incident learning, and guides technical decisions. It also includes mentoring engineers, conducting technical interviews, partnering cross-functionally, and contributing to roadmaps, testing, security scanning, and performance optimization.

Designs, builds, secures, and governs enterprise APIs and cloud-native microservices using Java, Spring Boot, Python, and AWS. Defines API standards, OpenAPI specifications, security practices, testing strategies, and distributed-system patterns. Develops reusable frameworks, SDKs, and platform capabilities while collaborating with product, architecture, security, and engineering teams. Contributes to code reviews, incident resolution, modernization, automation, and long-term API architecture strategy.

Develop and support full-stack enterprise applications across user interfaces, APIs, backend services, databases, and AWS cloud environments. Build secure REST APIs and microservices, implement API lifecycle and APIOps practices, integrate responsive UIs, and contribute to architecture, code reviews, production support, and modernization initiatives.

Design, develop, and maintain scalable ETL pipelines, data-processing platforms, backend services, APIs, and cloud-native applications using Java, Spark, AWS, and related technologies. Ensure data quality, security, performance, monitoring, and operational excellence. Contribute to CI/CD, automation, production support, Agile development, and technical leadership while collaborating with cross-functional teams.

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.

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.

Design, build, and scale Java-based microservices and SaaS infrastructure on AWS. Lead distributed-system architecture, REST and event-driven APIs, full-stack development, automated testing, CI/CD, observability, and performance optimization. Collaborate with product, UX, and DevOps teams, author technical designs, deliver production features, and mentor engineers. The role requires ownership of high-priority initiatives and contributions to long-term platform strategy.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

Maintain and scale LogicMonitor’s sales demo environments for proofs of concept, webinars, trials, and customer demonstrations. Support infrastructure configuration, deployment pipelines, GitOps updates, monitoring, alerting, security, access management, vulnerability remediation, incident response, performance optimization, and resource planning. Collaborate with Product, Development, Sales, and Solutions Engineering teams, while documenting procedures, creating runbooks, and improving automation and operational reliability.

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.

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.

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.

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.

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.

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.