Top AWS Jobs in Pune

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Develop and maintain secure, scalable Mastercard software applications using Java and Angular. Responsibilities include programming, API and UI test automation, code reviews, documentation, CI/CD quality gates, technical solution evaluation, software maintenance, metrics reporting, and adherence to quality and security standards. The role collaborates with cross-functional Agile teams to deliver resilient, testable applications and improve engineering processes.

Develop, test, document, implement, maintain, and support secure, scalable software applications. Build API and UI test automation, CI/CD quality gates, and automation frameworks while following software quality standards. Collaborate with cross-functional Agile teams, address emerging issues, report project metrics, and deliver solutions using Java, Angular, Spring Boot, cloud platforms, and related technologies.

Leads end-to-end data strategy, architecture, cloud platform, integration, governance, and AI/ML solution delivery across clinical and regulatory R&D. Manages client relationships, business development, proposals, account growth, executive communications, and consulting teams. Designs pharmaceutical data models and pipelines using AWS, Databricks, Snowflake, and Python while ensuring GxP and regulatory compliance. Develops team capabilities, oversees staffing and performance, and translates technical strategies into business outcomes for life sciences clients.

Lead software development for Mastercard’s fraud decision management platform. Design, build, maintain, and support high-performance distributed backend systems using Java and modern cloud technologies. Lead SDLC activities, design and code reviews, Agile planning, production incident resolution, vendor coordination, offshore development, security compliance, and deployment planning. Mentor engineers, provide technical training, evaluate technologies, and improve engineering standards and delivery processes.

Leads software engineering for Mastercard Send, owning complex service-level problems, architecture, secure coding, testing, integration, automation, and production reliability. Writes and reviews code, drives prioritization and agile delivery, improves CI/CD pipelines, conducts troubleshooting and incident postmortems, mentors engineers, guides architecture, supports product acceptance, and participates in hiring and promotion decisions. The role requires cross-functional collaboration across globally distributed teams and ownership of high-availability digital payment services.

Leads architecture and end-to-end delivery of scalable, secure distributed systems. Develops Java and Spring Boot backend services, guides technical decisions, reviews designs and code, and drives CI/CD, cloud-native development, containerization, testing, deployment, and production support. Manages technical risks, vendors, performance, and incident resolution while ensuring security and compliance. Mentors engineers, promotes continuous improvement, and collaborates with product, infrastructure, and cross-functional stakeholders.

Lead design and deliver secure, scalable Java-based microservices and RESTful APIs for global authentication products. Drive architecture, mentor engineers, collaborate with product owners, ensure non-functional requirements, deploy via CI/CD and container orchestration, and promote technical excellence and reuse across teams.

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.

Design, deploy, automate, and support large-scale cloud networking across AWS, Azure, and GCP. Develop infrastructure-as-code, support Kubernetes networking and firewalls, establish monitoring and capacity strategies, troubleshoot complex network issues, and create technical roadmaps. Provide engineering leadership, mentor network development engineers, improve reliability and eliminate operational toil, maintain service ownership, and participate in on-call support and occasional travel.

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 software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

Lead design and delivery of GCP data platforms using BigQuery, Pub/Sub, and Dataflow. Architect high-volume ingestion and ETL pipelines, drive cloud migrations, mentor engineers, ensure security, cost optimization, and stakeholder alignment to deliver analytics and ML-ready data solutions.

Maintain uptime for a SaaS observability platform by deploying production applications, securing environments, automating infrastructure and operational tasks (Python/Terraform/Kubernetes), collaborating with developers and senior engineers, producing runbooks/documentation, and developing AI-assisted automation workflows.

Lead design and implementation of full-stack web applications and scalable data pipelines. Build intuitive UIs, backend data models, performant analytics, write and review tests, mentor junior engineers, and collaborate with product and design to deliver customer-focused solutions.

Support and enhance observability for a cloud/SaaS platform: review logs and performance data, maintain SIEM/APM tools (Splunk, Uptrends, Datadog), write regex and complex Splunk queries, build dashboards/alerts, automate processes, and document monitoring configurations and upgrades.

Manage and operate AWS infrastructure across multiple accounts and environments. Troubleshoot incidents, monitor health and costs, ensure availability and performance, provision resources with Terraform, detect and remediate drift, automate operational tasks, and collaborate with engineering, security, and data teams to support CI/CD deployments and scalable, secure cloud architectures.

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.

The Site Reliability Engineer will ensure cloud-native system stability and performance, manage AWS infrastructure, and optimize reliability in Java microservices.

Develop and integrate scalable front-end solutions using JavaScript, ReactJS, NodeJS, and related technologies. Responsibilities include requirements analysis, technical design, code reviews, API integration, micro-frontend development, performance optimization, documentation, deployment support, production troubleshooting, and technical debt remediation. The role collaborates with business, technology, operations, and data teams to deliver end-to-end solutions.

Drive LogicMonitor customer adoption, onboarding, training, troubleshooting, retention, renewals, and value realization at scale. Serve as a trusted technical advisor, manage customer cases and SLAs, identify churn risks, support escalations during incidents, conduct business reviews, and collaborate with Customer Success Managers, account owners, executives, support, and other cross-functional teams.

Drive customer adoption and expertise for LogicMonitor’s SaaS observability platform. Responsibilities include onboarding, training, troubleshooting, case and SLA management, best-practice consulting, customer value realization, retention, renewal reviews, escalation support, and identifying expansion opportunities. The role partners with Customer Success Managers, account owners, executives, technical support, and other teams while supporting customers through automation and individual engagements.

Leads end-to-end development of real-time payment network products using Java, Spring Boot, microservices, event-driven architecture, messaging, CI/CD, and cloud-native platforms. Designs scalable solutions, ensures quality, performance, and security benchmarks, guides development teams, conducts proofs of concept, selects technologies and patterns, improves automation and defect metrics, and coordinates with product, architecture, business, testing, vendor, and global stakeholder teams in an Agile SAFe environment.

Lead the design, delivery, operation, and evolution of enterprise CI/CD platforms using Bitbucket, SonarQube, and Artifactory. Own reliability, monitoring, security, automation, scalable build environments, incident response, and continuous improvement. Establish engineering standards and governance, improve developer experience, guide roadmap priorities, review technical changes, mentor engineers, and drive adoption across teams. Requires extensive enterprise platform, DevOps, SRE, cloud, containerization, and automation experience.