Top AWS Jobs in Pune

Maintain and scale LogicMonitor’s sales demo environments for proofs of concept, webinars, trials, and customer demonstrations. Support infrastructure configuration, deployment pipelines, GitOps updates, monitoring, alerting, security, access management, vulnerability remediation, incident response, performance optimization, and resource planning. Collaborate with Product, Development, Sales, and Solutions Engineering teams, while documenting procedures, creating runbooks, and improving automation and operational reliability.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

Manages software engineering teams and owns end-to-end delivery of analytics and business intelligence solutions. Responsibilities include people management, technical strategy, architecture and system design, code and deliverable reviews, quality and security oversight, technical debt management, innovation, stakeholder coordination, and Agile delivery. The role requires expertise in React.js, .NET, AWS, databases, Hadoop, Spark, Databricks, big-data analytics, CI/CD, DevOps, and automation.

Leads hands-on full-stack development of secure, scalable Mastercard authentication products. Designs Java microservices, APIs, user interfaces, architectures, and distributed services; drives technical decisions, agile prioritization, testing, DevOps, cloud deployments, and operational resilience. Mentors engineers, promotes service ownership, partners with product and business stakeholders, conducts technical interviews, and advances security, performance, availability, and automation practices.

Leads architecture and technical direction for Mastercard’s global-scale merchant acceptance platform. Designs resilient, high-availability microservices, APIs, cloud-native systems, and technical blueprints for high-volume payment environments. Partners with product, architecture, operations, and engineering teams; reviews implementations; mentors technical staff; and prototypes solutions. Requires extensive experience with Java, Spring, Kubernetes, cloud platforms, databases, continuous delivery, and financial systems operating at global scale.

Design, build, and deploy AI and Generative AI solutions using LLMs, agent frameworks, and RAG. Develop scalable AI/ML pipelines, cloud-native integrations (Azure/Databricks/AWS), and MLOps/LLMOps deployments. Integrate AI with APIs, databases, and internal apps. Implement Responsible AI practices (bias detection, hallucination mitigation, explainability, safety guardrails). Monitor, test, and maintain production AI systems while staying current on Generative AI trends.

Designs, builds, and operates Mastercard’s enterprise Developer Workbench platform. Responsibilities include integrating developer tools, managing tooling lifecycles, creating standardized onboarding environments, advancing AI-assisted development capabilities, implementing CI/CD and cloud-native solutions, measuring developer productivity, and ensuring security and regulatory compliance. The role collaborates across product, platform, security, compliance, and engineering teams while contributing to technical strategy and engineering standards.

Build and improve production-oriented enterprise AI solutions using prompts, LLMs, RAG, workflow automation, APIs, governed data, and evaluation frameworks. Integrate systems such as Salesforce, Slack, Snowflake, and AWS using n8n, Python, JavaScript, or TypeScript. Apply context engineering, observability, security, privacy, testing, and reliability controls while partnering with business, product, data, security, and engineering stakeholders.

Build and operate a self-service data commercialization platform spanning web experiences, APIs, cloud infrastructure, lakehouse systems, and automation. Develop scalable data platforms using Python, Spark, Databricks, orchestration, Java, React, and cloud services. Design secure, reliable workflows with observability, access controls, infrastructure as code, CI/CD, and multi-cloud architecture. Collaborate on technical trade-offs and integrate distributed systems, databases, and AI-powered capabilities.

Design, develop, and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, follow security and architectural standards, and participate in testing, code reviews, deployments, incident response, and root-cause analysis. Improve CI/CD pipelines, automation, documentation, and engineering workflows while adopting AI-assisted development tools. Contribute to Agile planning, technical research, project estimation, and continuous learning.

Leads the architecture, design, coding, testing, and delivery of scalable, secure, cloud-native software and data distribution platforms. Defines modernization strategy, builds APIs, services, data pipelines, and analytical capabilities, and drives architecture and design reviews. Coordinates globally distributed teams, partners across engineering and business functions, mentors engineers, and promotes reliability, observability, continuous delivery, and engineering excellence.

Build and operate scalable cloud data and lakehouse platforms, including self-service interfaces, automation, APIs, infrastructure, governance, and security. Develop backend services with Java and Spring Boot, web experiences with React and TypeScript, and data solutions using Python, Spark, Databricks, and orchestration tools. Design reliable workflows, distributed systems, integrations, and cloud infrastructure across AWS and/or Azure. Contribute to architecture, observability, testing, cost optimization, and AI-powered platform capabilities.

Design and implement production-grade AI and machine learning solutions, including scalable GenAI applications, RAG pipelines, ML platforms, data pipelines, and distributed cloud systems. Collaborate with architects and client-facing teams, write tested and maintainable code, conduct technical research and proofs of concept, participate in Agile delivery, troubleshoot production issues, review code, estimate work, and mentor engineers.

Lead quality engineering for scalable, cloud-native microservices. Develop manual and automated tests, maintain test harnesses, integrate testing into CI/CD, configure application environments, validate functionality across operating systems and databases, and partner with developers to diagnose defects. Champion automation and testing standards, improve execution reliability and coverage, collaborate with product and engineering leadership, and mentor team members. The role also requires using AI-assisted engineering tools and frameworks to improve delivery and product quality.

Develop and maintain manual and automated tests for scalable, cloud-native microservices and enterprise software. Own test planning, functional, regression, and integration validation; integrate automation into CI/CD pipelines; configure test environments; analyze metrics; reproduce and triage defects; and ensure coverage across operating systems and databases. Champion testing best practices, improve automation reliability, collaborate with engineering and product teams, and mentor other test engineers.

Drive enterprise software acquisition and revenue growth across a regional territory. Manage prospects and a small existing customer base using land-and-expand strategies, executive engagement, demonstrations, events, territory planning, and strategic account development. Build relationships with VP and C-level stakeholders, partners, and internal teams to close complex sales, acquire new logos, expand usage, and support successful customer implementations.

Design and develop a scalable automated locates platform for securities finance using Java, Spring, microservices, distributed systems, containers, AWS, SQL, caching, and messaging technologies. Build enterprise applications, optimize transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Build and maintain reliable, scalable Java-based microservices for SailPoint’s cloud identity analytics SaaS product. Responsibilities include technical design, feature implementation, code reviews, testing, production performance instrumentation, CI/CD improvements, and collaboration across an agile engineering team. The role will eventually own functional areas, contribute to architecture decisions, and lead scalable microservice enhancements.

Designs, automates, and optimizes enterprise Windows platforms using SCCM, Ansible, PowerShell, and Infrastructure as Code. Responsibilities include OS deployment, patching, software distribution, compliance enforcement, server build pipelines, CI/CD integration, self-service delivery, troubleshooting, capacity planning, and platform modernization. The role leads Wintel engineering workstreams, establishes automation standards, collaborates with infrastructure and security teams, and supports scalable, secure, and highly available services.

Leads the design, development, deployment, and support of scalable data pipelines and platforms across Hadoop, on-premises, and AWS cloud environments. Builds batch and near-real-time processing frameworks, modernizes ETL and data warehouse workloads, implements governance and observability capabilities, and troubleshoots production issues. Mentors engineers, collaborates with cross-functional stakeholders, evaluates emerging technologies, and ensures secure, high-quality delivery for enterprise-scale data ecosystems.

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.

Develop and maintain full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; developing with React or Angular, Java, SQL, microservices, Kubernetes, and cloud platforms; participating in code reviews, testing, deployment, incident resolution, production support, Agile planning, and user-story refinement.

Build and maintain petabyte-scale data pipelines, entity-centric data models, and distributed workflows using Databricks and Spark. Partner with data science teams to productionize ML features and artifacts, optimize ETL/ELT processes, and implement testing, monitoring, observability, and incident response. Collaborate with governance and operations teams to ensure secure, compliant data management while supporting scalable merchant identity and trust-profile systems.

Manages and coaches multiple software engineering teams responsible for developing, enhancing, and supporting applications and services. Partners with product owners, oversees hiring and career development, manages budgets, drives engineering productivity and quality, and promotes secure coding, technical debt reduction, system reliability, standardized deployment, CI/CD automation, vulnerability scanning, testing, and performance optimization.

Build and operate production LLM systems, including prompt and pipeline versioning, evaluations, monitoring, observability, RAG and vector-store infrastructure, safety guardrails, and cost governance. Develop CI/CD and operational tooling for non-deterministic AI outputs, manage reliability and compliance requirements, and collaborate with engineering and product teams to turn AI prototypes into scalable, secure, cost-effective production systems.