Top AWS Jobs in Pune

Lead and build cloud-based data pipelines and ETL/ELT workflows, translate business requirements into technical designs, manage and mentor a small team, engage directly with clients, ensure data quality and production-grade code, and contribute to solution design and project delivery using Agile practices.

Lead and scale multiple security and access management programs across engineering and cloud operations. Plan and oversee technical initiatives, collect requirements, drive automation for governance, mitigate risks, and deliver dashboards/KPIs to Executive Leadership. Advocate tooling and improve traceability for security, compliance, and risk initiatives.

Maintain uptime for a SaaS observability platform by deploying production applications, securing environments, automating infrastructure and operational tasks (Python/Terraform/Kubernetes), collaborating with developers and senior engineers, producing runbooks/documentation, and developing AI-assisted automation workflows.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Design and build production-grade AI applications embedding ML/LLM capabilities. Integrate trained models into APIs, services, UIs, and workflows. Operationalize models (versioning, deployment, monitoring), implement guardrails, ensure security/privacy/compliance, apply bias mitigation and explainability, and mentor team members on AI engineering best practices.

Lead and mentor an SRE team to ensure reliability, scalability, and performance of Mastercard applications. Drive production readiness, automation, observability, incident triage/root-cause analysis, resilience design, and cloud/container modernization. Partner with developers to embed operational best practices and manage risk, compliance, and deployments across distributed systems.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

Senior SRE responsible for ensuring reliability, scalability, and performance of Mastercard applications. Drive observability, automation, capacity planning, incident triage/root cause, and developer-run ownership. Collaborate with engineering teams to design fault-tolerant systems, enforce operational standards, support deployments, and manage risk/compliance while mentoring others and improving operational processes.

Senior Site Reliability Engineer ensuring reliability, scalability, and performance of Mastercard applications. Drive observability, automation, capacity planning, incident response, troubleshooting, and DevOps practices. Collaborate with developers to enable developer-run ownership, enforce operational standards, run blameless post-mortems, and support compliance and risk mitigation across environments.

Ensure reliability, scalability, and performance of Mastercard applications by implementing observability, automation, and DevOps practices. Support production readiness, incident triage, root-cause analysis, capacity planning, and continuous improvement while mentoring developers and enforcing operational standards.

Support and improve production reliability, scalability, and performance of Mastercard applications. Implement observability, automation, and DevOps practices; troubleshoot incidents, perform root cause analysis, capacity planning, and change management. Mentor developers on operational design, enforce standards, and drive preventative reliability improvements.

Ensure reliability, scalability, and performance of Mastercard applications. Drive observability, automation, capacity planning, monitoring, incident triage, root-cause analysis, and blameless post-mortems. Support developers on operational design and run practices, implement high-availability systems, automate routine tasks, and apply DevOps/SRE principles to improve service resilience and compliance.

Lead design and implementation of enterprise Anaplan Sales Performance Management and planning solutions. Translate business requirements into technical designs, own solution architecture and integrations (Salesforce, SAP, Snowflake, Databricks, Azure, AWS), manage delivery and testing (SIT/UAT/deployment/hypercare), mentor a team of Anaplan developers, run workshops with stakeholders, and support business development and operational readiness.

Design, build, and operate tools and systems to deploy and scale applications and data across hybrid cloud and physical environments. Support platform reliability, CI/CD pipelines, logging, monitoring, vulnerability detection, and hundreds of data pipelines. Collaborate with data engineering teams and troubleshoot complex system, network, and application issues.

Lead and grow agile engineering teams to design, build, and operate large-scale, distributed payment systems. Provide hands-on technical leadership across architecture, code quality, testing, CI/CD, security, and cloud-native deployments while partnering with product and program teams to ensure predictable, high-quality delivery.

Design, build, and maintain scalable data pipelines and cloud data platforms to support AI/ML workloads. Deploy, monitor, and operationalize machine learning models, implement CI/CD and MLOps, ensure data quality, scalability, and governance while collaborating with data scientists, engineers, and stakeholders.

Owner of SailPoint's SaaS QMS: maintain policies, coordinate evidence and audits across multiple frameworks, run internal audit and CAPA programs, embed quality in engineering workflows, support GxP vendor qualification for life-sciences accounts, and drive evidence automation and continuous improvement.

Deliver end-to-end data engineering and technology solutions for clients: translate business requirements to technical designs, lead teams to build ETL/data pipelines on Databricks and Snowflake, optimize queries and pipelines, manage project delivery and client communications, mentor junior staff, and ensure security, monitoring, and operational readiness.

The Senior Software Engineer will develop macOS applications and backend services in Java and Go, collaborating internationally and mentoring juniors.

Develop, test, and maintain Java-based microservices using Spring Boot and REST APIs. Design and manage CI/CD pipelines with Jenkins, GitHub Actions or GitLab CI/CD, integrate SonarQube and quality/security tools, collaborate with cross-functional teams, troubleshoot builds/deployments, and support continuous improvement of deployment and monitoring processes.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Design and implement secure multicloud (especially Azure) architectures, define security standards, lead threat modeling and risk assessments, automate cloud security (IaC/CI-CD), integrate AI/ML for detection and automation, mentor engineers, and partner with cross-functional teams to ensure secure AI model lifecycle and cloud operations.

Design and implement cloud automation and platform architecture to migrate monolithic Rails apps to containerized microservices on EKS/AKS. Build tooling with Terraform, Ruby, YAML and scripting, drive AWS platform initiatives, ensure observability with New Relic, and mentor junior engineers to improve cloud operations and SRE capabilities.

Lead design, deployment, automation, and support of large-scale cloud networking (AWS/Azure/GCP). Implement and operate firewalls, VPN, IDS/IPS, DNS, BGP. Build infrastructure-as-code (Terraform/CloudFormation), monitor performance, mentor network engineers, participate in design reviews and on-call rotation, and occasionally travel.