Top AWS Jobs in Pune

As a Software Engineer at Kyndryl, you will design, develop, and implement software solutions, ensuring code quality and system integration, while collaborating on complex projects. You will also have opportunities for career advancement.

As a Cloud Network Engineer, you'll manage hybrid and multi-cloud network architecture, ensuring secure performance, implementing cloud security, and leading cloud initiatives.

Lead DevOps engineering for complex client deployments, provide AWS expertise, manage systems, ensure high availability, and troubleshoot issues.

The Senior Systems Engineer manages complex IT architecture, leads technology projects, and provides solutions for business needs while overseeing various systems and environments.

Develop and maintain .NET/.NET Core applications using C# and ASP.NET. Design and optimize SQL Server databases, write complex queries and stored procedures, and tune performance. Deploy and manage cloud services across AWS/Azure/GCP (App Services, Functions, EC2). Use Git in an Agile environment, debug and resolve issues, and collaborate with cross-functional teams. Preferred: containerization, CI/CD, front-end frameworks, Kubernetes, microservices, and RESTful APIs.

Design, develop, and maintain scalable backend services in Golang, build RESTful APIs and microservices, manage AWS cloud infrastructure, integrate Redis caching, optimize performance and security, collaborate across teams, and follow CI/CD and containerization best practices.

Lead enterprise architecture for Global Engineering: define target-state architectures, roadmaps, reference patterns, and governance. Drive cloud-native, API/microservice, data, platform, and AI-enabled architecture; enable delivery through standards, reusable platforms, POCs, and training while aligning security, risk, and regulatory requirements.

Design, develop, and deliver scalable UI and backend components using Java/J2EE and modern frontend frameworks (Angular/React). Collaborate with product, design, and engineering teams, follow secure coding and unit testing practices, perform code reviews, and contribute to technical strategy and performance tuning. Support platform and business capabilities while coaching peers and aligning work to risk, controls, and governance requirements.

Design, build, and maintain scalable ETL/ELT data pipelines and workflows using Python, SQL, Spark, Airflow and Databricks on AWS. Ensure data quality and performance, optimize Redshift, collaborate with analytics and product teams, and monitor production pipelines.

Lead enterprise disaster recovery (DR) testing strategy and execution across applications, infrastructure, cloud, and vendors. Define DR frameworks, runbooks, success criteria; validate RTO/RPO/MTD and data consistency; coordinate failover/failback drills; manage executive reporting, audits, remediation, and cross-functional stakeholders to ensure regulatory and business resilience.

Lead cloud risk and control activities: advise cloud engineering and DevOps teams, assess cloud architectures for risk, design controls, lead remediation of findings, ensure compliance with CyberTech policies and standards, and enhance first-line technology risk reporting and metrics.

Lead design and run enterprise disaster recovery and business continuity programs across cloud and on-premises environments. Architect multi-region/hybrid failover, set RTO/RPO, implement IaC automation, manage data center resilience, design ransomware recovery and immutable backups, ensure compliance and audit readiness, execute DR tests and chaos exercises, and mentor engineers while managing vendor relationships.

Lead architecture and design of cloud-native Java/Spring Boot microservices and full-stack applications. Define Azure/AWS cloud architectures, container/Kubernetes patterns, event-driven systems (Kafka), and incorporate AI/GenAI where applicable. Produce HLDs/LLDs, ensure non-functional requirements, guide modernization and cloud migration, collaborate with product and architecture teams, and mentor senior engineers.

Lead design and manage enterprise disaster recovery and business continuity programs across cloud and on‑premises environments. Architect multi-region/hybrid failover solutions, define RTO/RPO, implement IaC automation, oversee on‑prem storage replication and virtualization recovery, design ransomware recovery and immutable backups, ensure compliance with standards, plan and execute DR tests, and mentor engineers while reporting program health to leadership.

Lead design, implementation, and management of disaster recovery and business continuity programs across on-premises and cloud. Build and test DR architectures, run ransomware recovery exercises, integrate DR with incident response, ensure compliance, lead DR testing and audits, and drive continuous improvement and training.

Lead and manage the Infrastructure Pre-Audit Assessment (iPaaT) team to prepare infrastructure teams for internal audits. Conduct current-state assessments, identify gaps, advise on remediation, report status to leadership, and collaborate with global counterparts to schedule and execute assessments while influencing stakeholders to reduce audit risk.

Lead architecture and design of cloud-native Java/Spring Boot microservices and full‑stack applications. Define HLDs/LLDs, cloud (Azure/AWS) architectures, containers/Kubernetes, event-driven patterns, and non-functional requirements. Guide legacy modernization, incorporate AI/GenAI where applicable, collaborate with product and governance, and mentor senior engineers to drive best practices.

Lead design and implementation of enterprise network security solutions (F5, Check Point, cloud) including standards, low-level designs, implementation plans, procurement, lifecycle management, operational handover, major-incident escalation, and automation/scripting for resilient, compliant infrastructure.

Lead infrastructure audit preparation and oversight for global/regional audits. Manage pre-audit assessment team, conduct current state assessments, identify gaps, support documentation and remediation, report status to leadership, and advise infrastructure owners to assess controls and risks.

Define and drive solution architecture for the Client Onboarding & Lifecycle Management (COLM) platform. Design end-to-end, scalable, secure integrations and data flows; maintain architecture artifacts; govern via enterprise frameworks; lead cloud (Azure) adoption, DevOps automation, and POCs; partner with stakeholders, engineering leads, and product owners; rationalize capabilities and ensure production stability, observability, and compliance in regulated environments.

Lead design and implementation of ServiceNow ITOM Event Management and Dynatrace observability to reduce alert noise, automate incident correlation and remediation, implement observability-as-code via APIs/CI-CD/Terraform, leverage AI/ML for root-cause and predictive monitoring, and track KPIs like MTTR and alert reduction.

Lead infrastructure quality engineering and automation for hybrid enterprise platforms. Architect IaC validation, CI/CD, microservices (Java/Spring Boot/MS SQL), cloud transformation (AWS/Azure), observability, and AI-driven automation. Mentor 20+ engineers, define KPIs, drive reliability, testing strategy, and cross-team collaboration for scalable, production-ready infrastructure.

Design, build, and operate high-scale, secure cloud backend systems using AWS serverless patterns. Implement event-driven, real-time data processing and AI-enabled features (LLM integrations, RAG, vector DBs). Ensure API security, authz/authn (RBAC/ABAC), monitoring, scalability, fault tolerance, and disaster recovery while evaluating and integrating emerging technologies.

Design and build scalable full-stack applications using Python or Java backends and Angular frontends. Develop microservices, implement CI/CD and DevOps practices, deploy to cloud platforms (GCP/Azure/AWS) using Docker and Kubernetes, debug and optimize code, and collaborate across teams to troubleshoot and improve distributed systems.

Design, develop, and deploy AI/ML solutions for marketing, pricing, and customer insights. Build predictive models, perform feature engineering and statistical analysis, create scalable model APIs, ensure data quality and governance, collaborate with IT and stakeholders, and support the full AI lifecycle including deployment, monitoring, and model performance reporting.