Top AWS Jobs in Pune

Lead the architecture, development, scaling, and modernization of Java-based AWS microservices and full-stack web interfaces. Build RESTful APIs, responsive UIs, automated testing pipelines, telemetry, and continuous delivery workflows. Optimize distributed systems for resilience, scale, and low latency while driving architecture discussions, code reviews, technical sizing, and mentorship across the engineering organization.

Lead design and delivery of modern, secure, scalable cloud-native data platforms (Lakehouse) across AWS and Azure. Drive DevOps/IaC, data governance, medallion architecture, performance and cost optimization, mentor global engineers, and collaborate with stakeholders to translate business requirements into production data solutions.

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.

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.

Develop and deploy generative AI solutions for anti-money laundering transaction monitoring. Build RAG, MCP, tool-calling, LangChain, LangGraph, LLM fine-tuning, multimodal generation, computer vision, evaluation, observability, and MLOps systems. Deploy scalable AI applications on AWS, Azure, and Databricks while ensuring performance, security, and compliance. Collaborate with technical and non-technical stakeholders and apply current AI/ML research to real-world problems.

Designs, develops, tests, deploys, and operates secure, mission-critical software for Mastercard’s VCN, Spend Controls and Alerts team. Partners with product and business stakeholders to prioritize work, integrate services, improve customer journeys, manage risks, and optimize delivery and operational metrics. Responsibilities include architecture, debugging, CI/CD automation, API development, quality scanning, performance and security requirements, release testing, product demos, incident mitigation, and mentoring less-experienced engineers.

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.

Modernize security operations by building SOAR playbooks, AI-augmented investigation workflows, prompt libraries, Jupyter notebooks, response tooling, and integrations across SIEM, EDR, identity, ticketing, threat intelligence, and AI platforms. Partner with SOC and DFIR teams to automate high-effort processes, support major incidents, optimize response outcomes, maintain reusable tooling, and contribute to product roadmaps and technical documentation.

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.

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, automate, and optimize Mastercard/Vocalink's Windows platform using SCCM, Ansible, and IaC. Implement automated OS deployment, patching, compliance, and build pipelines; integrate with CI/CD and Git workflows. Lead platform modernization, troubleshoot complex Windows issues, and collaborate with security, infrastructure, application teams and vendors to deliver scalable, secure platform services.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

Leads hands-on design, development, testing, documentation, deployment, and support of secure, scalable Java backend and microservices solutions. Collaborates with architecture, product, security, platform, QA, and cross-functional Agile teams; drives technical decisions, code quality, testing coverage, production support, root-cause analysis, and continuous improvement. Mentors junior engineers and contributes to engineering standards and knowledge sharing.

Manage and coach multiple software engineering teams delivering secure Mastercard Cloud Commerce applications and services. Translate product requirements into architecture and implementations, guide development standards, oversee CI/CD and security automation, troubleshoot complex application issues, manage capacity and dependencies, support delivery planning, recruit talent, develop employees, and communicate technical risks and trade-offs to leadership. Experience with Java, Spring Boot, microservices, architecture, CI/CD pipelines, vulnerability scanning, and financial services is expected.

Design, build, and operate Dev Cloud and internal developer platform capabilities. Own Docker Desktop developer workflows, extend Backstage (templates, plugins, catalogs), build cloud-native services on AWS, automate IaC and CI/CD, drive observability and security, onboard application teams, troubleshoot developer issues, and mentor engineers to improve developer experience and platform reliability.

Administer and support AWS cloud and Windows Server environments, including monitoring, patching, vulnerability remediation, security hardening, troubleshooting, root cause analysis, automation with PowerShell, documentation, and infrastructure modernization or migration initiatives.

Sell Dynatrace to enterprise customers through a land-and-expand approach. Own a 40-account territory (0–2 customers, 35–40 prospects), drive new-logo acquisition, engage VP/C-level stakeholders, run product demos and market initiatives, coordinate with sales engineering, marketing, legal and finance, and ensure successful implementations and upsell opportunities.

Develop, test, implement, document, maintain, and support secure, scalable software applications. Build API and UI test automation, validate system integrations, implement CI/CD quality gates, refactor automation code, and follow software quality and security standards. Collaborate with cross-functional Agile teams, meet delivery timelines, report project metrics, identify emerging issues, and recommend solutions.

Leads and manages software engineering teams developing scalable Java, cloud, and microservices-based products and platforms. Responsibilities include architecture leadership, hands-on development, code reviews, technical design, agile delivery, engineering quality, cloud enablement, streaming analytics, recruiting, mentoring, and stakeholder collaboration. The role oversees the full software development lifecycle and advances high-volume data access, platform strategy, and engineering productivity.

Lead architecture, design, coding, testing, and delivery of a cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Drive modernization, system design, technical strategy, architecture reviews, security, reliability, observability, and continuous delivery. Coordinate globally distributed teams, collaborate cross-functionally, mentor engineers, and ensure high-quality delivery of data-intensive software solutions.

Leads the design, development, and delivery of scalable full-stack Java applications using React or Angular. Establishes architecture, technical standards, APIs, microservices, security, resiliency, and zero-downtime production practices. Collaborates with product and cross-functional teams, provides technical leadership, estimates scope and timelines, and supports project delivery. The role also drives cloud-native development, DevOps automation, observability, release management, and adoption of generative AI solutions.

Leads offshore delivery for pharmaceutical and biotech data and technology engagements. Manages 20–30+ data engineers, developers, and consultants; establishes staffing, coordination, quality, risk, financial, and efficiency processes; coordinates across offshore, onshore, and R&D technology teams; participates in client discussions; and supports reusable asset development, including Generative AI solutions for drug discovery and preclinical research.

Provide advanced cybersecurity monitoring, incident triage, digital forensics, malware analysis, threat hunting, and incident response across on-premises, cloud, and hybrid environments. The role escalates complex security incidents, leads containment and recovery, improves detection logic and automation, maintains response playbooks and procedures, supports regulatory reporting, and mentors junior analysts. Collaboration with engineering, legal, IT, and leadership is required during high-severity incidents.

Support data governance policy implementation, data discovery, classification, cataloging, quality monitoring, metadata and lineage documentation, risk assessments, audits, tool administration, and remediation. Partner with data owners, stewards, and IT teams to promote secure, compliant, and trusted data. Provide training, user support, workflow assistance, and governance dashboards for leadership.

Lead data science efforts to design, develop, and productionize ML models, services and scalable data pipelines. Collaborate across lines of business to deliver AI-powered software solutions, perform analysis and insights, and optimize business outcomes in a secure, scalable financial-services environment.