Top AWS Jobs in Pune

Designs, develops, and improves SIEM and security operations capabilities. Responsibilities include managing Splunk and Microsoft Sentinel environments, creating detection rules and data pipelines, developing SOAR playbooks, analyzing security events, supporting incident response, automating security processes, and collaborating with cross-functional teams. The role also requires secure coding, testing, documentation, risk management, and technical guidance in large enterprise environments.

Designs, develops, and supports Securities Borrowing and Lending platforms using C# and .NET. Responsibilities include building server- and client-side features, automated testing, production troubleshooting, code reviews, stakeholder collaboration, and improving engineering standards. The role involves AWS cloud services, SQL databases, messaging technologies, and high-performance financial systems supporting global equities and securities finance operations.

Design, develop, and improve scalable software for AI platform capabilities. Build cloud applications using Python, Java, or Go; integrate LLM APIs, prompting, retrieval-augmented generation, embeddings, and agentic AI frameworks. Collaborate with product managers, designers, and engineers, participate in code reviews, apply secure coding and testing practices, and support reliable deployment using Docker and Kubernetes. Contribute to observability, access control, AI safety, infrastructure-as-code, risk management, and technical knowledge sharing.

Develop and maintain scalable, secure software solutions for large-scale banking applications. Responsibilities include UI development with Angular, React.js, and React Native; Java and J2EE development; REST web services; database integration; unit testing; performance tuning; code reviews; and collaboration with product, design, and engineering teams. The role also involves influencing technical decisions, managing risk and controls, mentoring colleagues, and contributing to technology strategy.

Lead operational ownership of the enterprise Azure Central Kubernetes (AKS) platform, ensuring availability, security, scalability, and lifecycle management. Manage a global Kubernetes platform engineering team, drive automation, GitOps, IaC, incident and capacity management, security/compliance, cost optimization, and executive reporting. Partner with stakeholders and vendors to increase platform adoption, reliability, and operational maturity.

Develop and maintain Java backend services, APIs, database integrations, and cloud-native solutions. Responsibilities include system design, performance optimization, secure coding, testing, CI/CD, code reviews, production troubleshooting, root-cause analysis, and collaboration with cross-functional teams. The role also involves mentoring junior developers and contributing to scalable enterprise supply chain software, with exposure to cloud platforms, integration protocols, frontend technologies, and emerging AI-driven engineering practices.

Leads customer behavior analytics for a pharmaceutical commercial organization, including HCP, account, patient, and consumer segmentation; propensity, risk-stratification, KOL, content-affinity, and campaign analytics. Manages a 15+ person team and cross-functional insights pods, translates commercial priorities into scalable analytical solutions, oversees real-world data analysis, and advances AI, ML, NLP, and GenAI experimentation to generate actionable insights and measurable business value.

Build and support a scalable global risk technology platform covering risk analytics, data modeling, reporting, and exposure management. Responsibilities include designing, implementing, testing, and maintaining full-stack applications; developing dashboards and data visualizations; building cloud-based event-driven microservices; gathering requirements from senior risk stakeholders; and troubleshooting production issues. The role requires expertise in Java or Python, front-end frameworks, SQL, large-scale databases, AWS technologies, and risk analytics.

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.

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.

Build and operate cloud infrastructure, CI/CD pipelines, Kubernetes platforms, and observability systems for Data and AI teams. Responsibilities include infrastructure-as-code, cloud security and PCI compliance, incident response, reliability improvements, developer platform tooling, and collaboration across technical teams. The role also establishes DevOps roadmaps, manages production services and on-call operations, and supports secure, scalable environments across AWS, Azure, or GCP.

Lead customer-facing consulting engagements involving the strategy, design, implementation, and optimization of sophisticated data center and networking solutions. Translate business requirements into scalable architectures, advise customers and account teams, resolve complex technical issues, and oversee end-to-end delivery. The role focuses on Cisco Nexus, VXLAN, ACI, networking protocols, service appliances, automation, virtualization, and cloud integration. It also includes developing delivery frameworks, sharing technical knowledge, and mentoring junior engineers.

Leads and mentors a software engineering team developing SailPoint’s cloud-native identity security products. Responsibilities include writing and reviewing code, debugging distributed systems, managing Agile delivery, planning projects, coordinating with global stakeholders, improving architecture and processes, managing technical risks, and delivering AWS-based microservices and product features.

Lead backend architecture for a data and analytics platform using Java and Spring Boot. Design secure, scalable, multi-tenant distributed systems, data pipelines, APIs, messaging, workflows, observability, and AI-powered features. Drive cross-team technical initiatives, production reliability, engineering standards, privacy, security, and responsible AI development while mentoring engineers and shaping the technical roadmap.

Provides technical leadership for high-throughput backend systems built with Java and Spring Boot. Owns distributed-system architecture, Redis and Kafka integrations, cloud infrastructure, observability, production reliability, and cross-team technical initiatives. Leads AI integration including LLM features, agentic workflows, RAG, MCP, and AI-assisted development. Mentors engineers, establishes engineering standards, investigates complex incidents, and partners on technical strategy.

Designs, develops, and improves scalable software solutions using Java, Spring Boot, microservices, REST APIs, event-driven architecture, and AWS. Collaborates with product, design, and engineering teams; participates in code reviews; applies secure coding and unit testing practices; and promotes technical excellence. The role also involves leading and coaching a team of 15–20 engineers, managing risk and controls, supporting Agile/SAFe delivery, and contributing to strategic technology decisions.

Develop and maintain scalable .NET applications across backend and UI layers using cloud platforms, modern architecture, CI/CD, and infrastructure-as-code. Responsibilities include unit testing, deployments, troubleshooting, documentation, security, scalability, Agile planning, and resolving medium-complexity issues. The role requires strong C# and .NET experience, cloud expertise, source control, and software development practices, with GCP preferred.

Develop and maintain scalable .NET applications across backend and UI layers using cloud platforms, primarily GCP. Responsibilities include coding, unit testing, deployments, debugging, issue resolution, documentation, CI/CD, infrastructure as code, and participation in Agile planning and ceremonies. The role requires attention to security, scalability, operational excellence, and collaboration across development teams.

Lead enterprise AI initiatives from discovery through deployment, translating business requirements into technical roadmaps and delivering scalable software solutions. Collaborate with product, engineering, and data science teams in agile environments, lead technical assignments, manage stakeholders, promote secure coding and testing practices, and navigate governance requirements in a regulated environment.

Build and maintain reliable, scalable, and secure cloud infrastructure and deployment platforms. Develop automation, monitor system performance, manage incidents, implement security controls, and improve observability. Collaborate with product managers, architects, data scientists, and engineers to deploy digital solutions and machine learning models. The role also involves advising stakeholders, managing risk and controls, influencing technical decisions, and potentially leading or coaching team members.

Owns Kubernetes infrastructure, CI/CD pipelines, Terraform automation, observability, incident response, infrastructure security, and hybrid networking for a large-scale cloud-agnostic backup platform. The role requires operating highly reliable production systems, defining SLOs, improving automation, managing on-call practices, and supporting massive multi-cloud and storage environments.

Leads enterprise ITSM governance across change, incident, request, problem, service level, and availability management. Runs governance forums, CAB/ECAB processes, assurance reviews, executive reporting, dashboards, and continual-improvement initiatives. Governs ServiceNow workflows and develops automation and AI-enabled processes using Power BI, DevSecOps tools, and observability platforms. Acts as an incident commander, drives remediation and accountability across teams, and participates in a 24x7x365 on-call rotation.

Drive cloud security strategy, architecture, and implementation across multi-cloud environments. Manage CSPM, CWPP, CNAPP, and SIEM tooling; conduct security governance, compliance assessments, incident investigations, threat analysis, and remediation. Partner with SOC, threat intelligence, architecture, engineering, and vulnerability management teams. Define secure cloud requirements, maintain documentation and runbooks, and improve security controls through automation and security monitoring.

Lead the operation and improvement of enterprise AI security platforms. Responsibilities include enforcing AI security policies, discovering and managing AI assets across AWS, Azure, and GCP, integrating AI red-team testing into CI/CD, managing vendors and platform roadmaps, tuning performance, supporting AI incident response, and maintaining security documentation and metrics.

Supports application deployment, configuration, monitoring, troubleshooting, and production reliability across application, server, database, and network layers. Acts as a technical contact for clients and internal teams, manages support cases, analyzes logs, performs testing, writes basic scripts, and automates repetitive tasks. Maintains documentation, follows change management procedures, collaborates with engineering and infrastructure teams, and participates in rotational on-call support.