Top AWS Jobs in Pune

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.

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.

Develops and improves software systems, analyzes performance and reliability, writes and reviews code, creates tests and documentation, and supports Agile releases. The role includes mentoring junior engineers, guiding technical designs, participating in hiring, handling occasional on-call incidents, and collaborating across product and engineering teams. Experience with web applications, enterprise products, NoSQL databases, AWS services, DevOps, and C#/.NET technologies is expected.

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.

Design, train, fine-tune, deploy, and optimize production AI systems including LLMs, RAG pipelines, agentic workflows, and machine learning solutions. Build APIs and inference pipelines, evaluate quality and performance, monitor production systems, and translate research into scalable applications. Collaborate with engineering, product, leadership, and global research teams while working a required overnight India schedule aligned with U.S. hours.

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.

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.

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.

Develop, test, maintain, and optimize secure, scalable Java and Spring Boot backend applications. Design RESTful APIs and microservices, work with AWS cloud services, databases, CI/CD pipelines, and automated testing. Own features from design through deployment and monitoring, participate in Agile and SAFe ceremonies, support production incidents, and collaborate with globally distributed teams while using AI-assisted development tools.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

Build and own backend systems for the go-to-market team, including data pipelines, CRM integrations, internal services, signal automation, lead scoring, and AI agents. Design reliable data models and production workflows using Python and SQL, while managing deployment, monitoring, error handling, and maintenance. Collaborate closely with Sales, GTM leadership, and Engineering to deliver systems that reduce manual work and improve pipeline generation.

Develop and maintain automated testing frameworks for controls-based software used in material movement systems. Analyze requirements, create functional, end-to-end, performance, and acceptance tests, and integrate automation into CI/CD pipelines. Build test reporting infrastructure, support cloud-based test systems, collaborate with product, architecture, development, DevOps, and deployment teams, and coach best practices across Agile environments.

Lead the technical direction, architecture, and delivery of a backend product or platform domain supporting digital telecommunications. Design scalable distributed systems and services, mentor engineers, establish engineering standards, improve reliability and observability, resolve complex production issues, and collaborate across architecture, product, SRE, and engineering teams.

Design and maintain Playwright and TypeScript test automation, migrate Selenium suites, execute manual and automated testing, integrate tests into Azure DevOps CI/CD pipelines, stabilize flaky tests, investigate defects, validate releases, mentor junior QA members, and improve quality practices using AI-assisted testing tools.

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.

Leads and develops a team of three Customer Success Managers while managing approximately 30 enterprise accounts. Responsibilities include customer adoption, retention, renewals, expansion, success planning, executive business reviews, renewal forecasting, risk management, escalations, and cross-functional collaboration. The role also drives customer success processes, playbooks, operational efficiency, and team performance across the APAC region.

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.

Designs and maintains large-scale data engineering systems and web solutions operating at petabyte scale. Responsibilities include owning features end to end, writing tested and observable production code, participating in reviews, debugging production systems, defining data models, building data pipelines and platforms with AWS and Snowflake, and collaborating with DevOps, research, operations, release management, and external stakeholders.

Lead the architecture and implementation of Syngenta’s scalable AI Innovation Platform. Provide technical guidance to engineering teams, establish AI-enabled software development practices, evaluate emerging AI technologies, and define implementation approaches, APIs, integrations, and quality attributes. Collaborate with product, design, business, and globally distributed engineering stakeholders to ensure platform scalability, maintainability, performance, and alignment with organizational needs.