Top AWS Jobs in Pune

Translate business questions into analytical and modeling problems; perform exploratory data analysis; engineer features; develop and benchmark regression, tree-based, time-series, and clustering models; build reproducible data and modeling pipelines; and collaborate on productionizing, monitoring, and validating models. Communicate findings to technical and non-technical stakeholders through visualizations, written narratives, and presentations.

Lead a development squad while remaining hands-on building Java and Spring Boot backend services and Angular frontend features. Design RESTful APIs, modernize database-centric systems using domain-driven design and bounded contexts, and work with Kafka, relational databases, and JPA/Hibernate. Mentor junior engineers, uphold engineering standards, guide agile execution, and advocate for scalable architecture and best practices.

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.

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.

Own security compliance, ISMS activities, audits, certifications, customer security assessments, policies, risk assessments, and control documentation. Support security operations, threat detection, incident investigations, cloud security, vulnerability management, application security, DevSecOps, and penetration testing. Collaborate with auditors, customers, engineering, and business stakeholders while automating compliance and security workflows.

Manage AWS cloud infrastructure, CI/CD pipelines, Docker and Kubernetes deployments, infrastructure as code, monitoring, security, and release workflows across development through production. Troubleshoot Linux, networking, application, container, and deployment issues; optimize cloud costs; implement DevSecOps practices; and support reliable, scalable application operations. Collaborate with development, QA, and technical leadership throughout the deployment lifecycle.

Leads a team developing and operating the ActivePipe Ruby on Rails platform, PHP integrations, and Kafka-driven ETL pipelines. Owns architecture, technical direction, design reviews, engineering standards, reliability, incident response, delivery commitments, and cross-team collaboration. Remains hands-on with coding, code reviews, debugging, and system design while mentoring engineers, supporting hiring, and managing planning and engineering rituals.

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 enterprise-wide response to critical technology incidents, coordinating technical teams, vendors, business stakeholders, and executives through service restoration. Oversees incident command, executive communications, ITIL governance, operational resilience, post-incident reviews, automation, runbooks, trend analysis, problem management, and continuous service improvement in a global 24x7 environment.

Provide L1/L2 production support for financial applications, including incident triage, application and batch monitoring, troubleshooting, root-cause analysis, release support, and cloud application operations. Monitor alerts, job schedules, databases, APIs, and infrastructure; coordinate escalations and stakeholder communications; support deployments, disaster recovery, audits, and continuous service improvement. The role includes on-call, night, weekend, and 24x7 rotational support.

Develop backend services primarily with Java and Spring Boot, support Angular frontend development, design RESTful APIs, optimize complex transactional SQL, and work with Oracle or PostgreSQL using JPA/Hibernate. Lead modernization from database-centric systems toward domain-driven architecture, collaborate across squads, and contribute to scalable, high-performance enterprise platforms.

Develop scalable SAP-integrated financial applications using Java, Spring Boot, JavaScript or TypeScript, and React or Angular. Build REST APIs, microservices, dashboards, workflows, and enterprise integrations with SAP S/4HANA Finance and SAP RAR. Design database solutions, implement secure financial data handling, and work with cloud platforms, containers, CI/CD, event-driven systems, automated testing, debugging, and production support. Translate finance requirements into technical solutions while collaborating across teams.

Analyze large structured and unstructured datasets, build and evaluate machine learning and statistical models, perform EDA and hypothesis testing, create visualizations and dashboards, collaborate with product and business teams, and document and improve analytical solutions to drive business decisions.

Lead the architecture, implementation, and management of AI infrastructure on AWS. Translate business and engineering needs into scalable, secure, maintainable, and cost-effective solutions. Provide architectural guidance, define implementation approaches, develop proofs of concept and MVPs, evaluate emerging AI and AWS technologies, and coordinate cross-functional initiatives across product, business, and engineering stakeholders.

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.

Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.

Build and deliver scalable full-stack features for cloud-based data security products, focusing on React front ends and Node.js services. Responsibilities include architecture, reusable components, micro-frontends, testing, performance, accessibility, troubleshooting customer issues, documentation, and mentoring developers. The role collaborates with Product, UX, and QA teams in an Agile environment and requires proximity to Pune, India.

Conduct product security testing, reverse engineering, vulnerability research, exploit development, fuzzing, and penetration testing across embedded, IoT, mobile, web, cloud, and network systems. Lead threat modeling, secure design reviews, PSIRT operations, vulnerability disclosure, incident response, AI security assessments, security awareness, and regulatory readiness activities including the EU Cyber Resilience Act.

Conduct product security testing, reverse engineering, vulnerability research, penetration testing, threat modeling, and secure design reviews for embedded, IoT, cloud, mobile, web, and AI products. Support PSIRT operations, vulnerability disclosure, incident response, regulatory compliance, security awareness, and secure development initiatives.

Develop and maintain scalable, secure full-stack software solutions using Java, Spring, REST/SOAP services, databases, and modern frontend technologies. Collaborate with product managers, designers, and engineers, participate in code reviews, implement unit and integration testing, and support cloud deployment using AWS, Docker, Kubernetes, CI/CD, and infrastructure-as-code. The role also involves secure coding, Agile delivery, technical problem-solving, stakeholder communication, and continuous improvement.

Build and operate Salesforce DevOps capabilities, including Jenkins and GitHub Actions CI/CD pipelines, automated testing, infrastructure, environment management, and production releases. Develop Python and Groovy automation, integrate Salesforce with AWS, coordinate code, metadata, and data migrations, monitor environment health, troubleshoot issues, and execute DevOps strategy in collaboration with global engineering teams.

Design and deliver SAP data features from architecture through production, extracting SAP data into Datasphere, Business Data Cloud, Databricks, and Snowflake platforms. Lead, mentor, and coach India-based developers; serve as the SAP data expert for Pune teams; support client discovery and roadmap discussions; and help build Snap Analytics’ SAP capability in India. The role is hybrid in Pune, works 11:00–20:00 IST, and may involve occasional international client travel.

Build, deploy, and maintain full-stack web applications, including frontend interfaces, backend services, and APIs. Collaborate across teams, write clean and testable code, participate in code reviews, troubleshoot systems, and continuously improve products. The role requires frontend experience with React or Angular, backend experience with Python or Golang, cloud platform exposure, strong computer science fundamentals, problem-solving ability, and effective communication. AI/LLM applications, MCP servers, containers, and prompt design are bonus skills.

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.