Top AWS Jobs in Pune

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.

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.

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.

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

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.

Design, build, and scale cloud-native data and BI solutions on Databricks and Snowflake. Develop high-performance data pipelines, enable multi-cloud interoperability (AWS/Azure), implement governance and secure access patterns, maintain CI/CD and infrastructure-as-code for platform provisioning, and lead technical design while mentoring engineers.

Lead design and implementation of scalable Salesforce solutions, architect integrations and data strategies, provide technical leadership and mentorship, ensure platform performance/security, and align solutions with enterprise architecture and business needs.

Designs, builds, and maintains scalable, secure, highly available AWS platforms across multiple accounts. Manages infrastructure as code, networking, access controls, guardrails, CI/CD, automation, monitoring, incident response, and reliability improvements. Leads architecture discussions, code reviews, technical initiatives, and engineering mentorship while troubleshooting and optimizing large-scale systems.

Manage AWS infrastructure across Prod/Stage/Dev, handle incident management and root cause analysis for core AWS services, ensure availability and performance, monitor health and cost, perform access management and resource optimization, support Terraform-based provisioning, automate operational tasks, and work with CI/CD pipelines while collaborating with Engineering, Security, and Data teams.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Delivers master data management and technology consulting solutions across the project lifecycle. Translates business requirements into technical designs, develops and tests MDM solutions, leads task planning and team coordination, manages project deliverables, supports client communications, and mentors junior team members. The role requires collaboration across global teams, data analysis and quality expertise, SQL, MDM platforms, cloud awareness, problem-solving, and willingness to travel for client or internal engagements.

Manage day-to-day AWS infrastructure across multiple accounts/environments, handle incidents and root cause analysis, ensure availability and performance, monitor health and costs, perform access management and patching, provision infrastructure with Terraform, detect and remediate drift, automate operational tasks, and support CI/CD-driven deployments.

Lead QA automation efforts for a SaaS observability platform: design and execute functional, regression, performance, and automation tests; build and maintain automation frameworks; mentor QA engineers; collaborate with product and dev teams; identify risks and drive continuous improvement.

Lead the design, operation, and standardization of global cloud infrastructure across AWS, Azure, and GCP. Own large-scale Kubernetes platforms, service mesh, GitOps, infrastructure as code, CI/CD, observability, security, compliance, and on-call excellence. Drive multi-account AWS architecture, mentor engineers, influence cross-functional technical direction, and develop AI-assisted and agentic operational automation using tools such as Amazon Bedrock.

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.

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 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.