Top AWS Jobs in Pune

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.

Build, test, release, monitor, and support platform services, APIs, connectors, and automation for customer data exchange and pipeline orchestration. Deliver components independently, write tests and documentation, replace manual processes with code, investigate production issues, and contribute to design, estimation, code reviews, and root cause analysis. The role uses cloud technologies, data platforms, secure coding practices, and CI/CD.

Leads client-facing technology consulting engagements for manufacturing and industrial operations. Responsibilities include OT and industrial data strategy, solution architecture, SDLC delivery, Unified Namespace and data-layer design, client relationship management, account expansion, cross-functional team leadership, validation, change management, and ROI delivery. The role requires deep expertise in plant-floor systems, industrial connectivity, cloud, data engineering, and life-sciences or pharmaceutical manufacturing.

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.

Develop and maintain scalable full-stack enterprise applications using Java, Spring, React or Angular, microservices, and cloud-native AWS technologies. Responsibilities include requirements gathering, architecture and design, coding, testing, monitoring, performance engineering, compliance, and production support. The role also involves database development, CI/CD, DevOps, containerization, data engineering, and integration of AI/ML services. Candidates collaborate with business partners and technical teams while mentoring developers and ensuring secure, resilient, high-quality delivery.

Designs, builds, secures, and governs enterprise APIs and cloud-native microservices using Java, Spring Boot, Python, and AWS. Defines API standards, OpenAPI specifications, security practices, testing strategies, and distributed-system patterns. Develops reusable frameworks, SDKs, and platform capabilities while collaborating with product, architecture, security, and engineering teams. Contributes to code reviews, incident resolution, modernization, automation, and long-term API architecture strategy.

Leads the design, automation, operation, and modernization of highly available Oracle and PostgreSQL database platforms across on-premises and AWS environments. Responsibilities include Infrastructure-as-Code, CI/CD, performance optimization, observability, disaster recovery, security, incident leadership, root cause analysis, and operational excellence. The role partners with engineering, SRE, security, and product teams while mentoring engineers and driving platform reliability and automation.

Develop and maintain batch and real-time data pipelines using Java, Python, Spark, SQL, and Kafka. Build ETL/ELT solutions across data lakes and warehouses, perform data validation, optimize processing, and support cloud deployments, CI/CD, monitoring, and production troubleshooting. Collaborate with engineering and platform teams while developing reusable components and data pipelines supporting analytics, machine learning, and generative AI initiatives.

Designs and maintains scalable batch and near-real-time data pipelines, curated data models, and ML-ready datasets. The role focuses on pipeline reliability, monitoring, performance tuning, secure data handling, testing, documentation, and collaboration with data science, BI, and platform engineering teams. It also supports feature engineering, model operationalization, data governance, and compliance across cloud-based data ecosystems.

Provide frontline technical support for LogicMonitor users by managing incoming chat and ticket cases through resolution within SLAs. Troubleshoot SaaS IT infrastructure management issues across Linux, Windows, networks, containers, and cloud platforms. Educate customers, advocate for their needs, collaborate with product, development, and customer success teams on escalations, and contribute to product enhancements and bug resolution.

Serve as the senior technical advisor for strategic enterprise accounts, designing observability architectures across multi-cloud, hybrid, edge, and AI environments. Lead cloud migration observability, agentic AI monitoring, network pathing analysis, API integrations, automation, executive architecture reviews, workshops, and technical escalations. Partner with Sales, Customer Success, Product, Engineering, and AI teams to influence roadmaps and deliver scalable customer solutions.

Manage multi-region AWS infrastructure and Linux servers, including configuration, migrations, upgrades, patching, monitoring, access control, troubleshooting, and root-cause analysis. Support serverless and container infrastructure, analyze logs and performance trends, audit infrastructure, mitigate threats, and resolve escalated operational issues. Mentor new team members and collaborate in a hybrid, client-facing consulting environment.

Lead Java backend modernization and Kubernetes migration initiatives. Design and develop resilient microservices, REST APIs, integrations, and deployment strategies. Provide technical leadership, conduct design and code reviews, oversee CI/CD and containerized deployments, coordinate regional releases, optimize performance, manage observability, and troubleshoot production issues while ensuring secure coding, testing, and engineering standards.

Build and maintain reliable, scalable Java and Go backend microservices for a cloud-native SaaS identity analytics product. Responsibilities include designing APIs, implementing features, writing unit and end-to-end tests, conducting code reviews, supporting AWS infrastructure, collaborating with stakeholders, leading small projects, participating in on-call support, and troubleshooting escalated system issues.

Lead development of high-performance Java backend services for Mastercard’s fraud decision-management platform. Responsibilities include system design, production development, code and security reviews, CI/CD and cloud-native delivery, production support, SDLC documentation, vendor and offshore coordination, technical training, mentoring, and Agile SAFe participation. The role also drives engineering standards, technology evaluations, performance benchmarking, deployment planning, and secure coding practices.

Leads the architecture and delivery of enterprise backend services, APIs, distributed systems, cloud-native platforms, AI-enabled workflows, and data solutions. Defines technical standards and roadmaps, drives modernization and automation, and ensures reliability, security, observability, and performance. Mentors engineers, supports hiring and development, leads incident response, and collaborates across product, architecture, security, and operations teams to advance platform strategy and engineering excellence.

Develops and delivers secure, mission-critical software solutions from design through deployment. Responsibilities include writing and reviewing code, testing, debugging, CI/CD automation, API and service integration, architecture development, release orchestration, operational improvements, and incident mitigation. The role collaborates with product stakeholders, manages delivery risks and metrics, conducts demonstrations, drives engineering standards, and mentors less-experienced engineers.

Designs, develops, and delivers secure, high-availability software services for Mastercard’s small-business products. The role owns complex cross-service problems, writes and reviews production code, drives automation and CI/CD, improves architecture and operational reliability, supports incident learning, and guides technical decisions. It also includes mentoring engineers, conducting technical interviews, partnering cross-functionally, and contributing to roadmaps, testing, security scanning, and performance optimization.

Design, develop, and maintain scalable ETL pipelines, data-processing platforms, backend services, APIs, and cloud-native applications using Java, Spark, AWS, and related technologies. Ensure data quality, security, performance, monitoring, and operational excellence. Contribute to CI/CD, automation, production support, Agile development, and technical leadership while collaborating with cross-functional teams.

Leads enterprise-scale software engineering initiatives, architecture strategy, cloud-native modernization, and AI-assisted development. Designs scalable APIs, microservices, distributed and event-driven systems; drives security, reliability, testing, observability, and DevSecOps practices. Partners with cross-functional stakeholders, evaluates emerging technologies, resolves complex production issues, and mentors engineers. Requires strong Java and Spring Boot expertise, cloud experience, software architecture knowledge, and leadership across multiple engineering teams and programs.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

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.

Develop and support full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; writing and reviewing code; developing CRUD APIs and microservices; supporting production incidents; participating in Agile planning and user-story refinement; and deploying applications in cloud environments. The role requires collaboration with product, Scrum, and architecture teams and hands-on experience with Java, React or Angular, SQL, Kubernetes, messaging systems, and cloud platforms.

Develops, deploys, operates, and troubleshoots scalable, low-latency fraud decisioning services across AWS, Kubernetes, cloud, and on-premise environments. Builds CI/CD pipelines, improves observability and reliability, supports production incidents, automates infrastructure, collaborates in Agile Scrum teams, and delivers secure software and technical documentation. The role also incorporates AI-driven incident analysis, anomaly detection, and intelligent CI/CD automation.

Build data engineering solutions that ingest, aggregate, unify, and analyze high-volume data from diverse sources. Develop data pipelines and models using Cloudera, Databricks, AWS, Hadoop, Python, and SQL. Partner with product, data science, platform, technology, client, and sales teams to deliver actionable insights, prototypes, business intelligence, and innovative cyber, fraud, security, and digital identity products.