Top AWS Jobs in Pune

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 securities finance platform using Java, Spring, microservices, distributed systems, containers, SQL, AWS, messaging, and caching technologies. Build enterprise applications, optimize high-volume transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Designs, builds, and scales cloud-based data engineering, BI, and analytics platforms using Databricks, Snowflake, AWS, and Azure. Develops high-performance data pipelines, multi-cloud architectures, integrations, CI/CD pipelines, automation, and infrastructure-as-code. Implements secure governance, access controls, interoperability, and platform provisioning. Leads technical design and mentors engineers while supporting scalable enterprise data products, observability, and cost optimization.

Lead the architecture and development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and AI lifecycle capabilities. Drive security, governance, observability, reliability, performance, and cost optimization while translating R&D concepts into production systems. Provide hands-on technical leadership, architecture reviews, mentorship, and cross-functional collaboration.

Lead the architecture and hands-on development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and ML lifecycle capabilities. Establish standards for security, governance, testing, CI/CD, observability, reliability, and cost optimization while providing technical leadership, mentoring, architecture reviews, and cross-functional collaboration.

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.

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 hands-on development of scalable Java and Go distributed systems, event-driven microservices, and cloud-native services on AWS. Defines architecture, technical roadmaps, and engineering standards; optimizes databases and streaming pipelines; contributes to testing, CI/CD, production support, and on-call operations. Mentors engineers, leads cross-functional technical alignment, and advances AI-assisted engineering practices across a multi-tenant SaaS platform.

Lead advanced cybersecurity incident response, including alert escalation, threat detection, log analysis, malware and forensic investigation, containment, eradication, and recovery. Support threat hunting, improve detection logic and automation, maintain incident response playbooks, conduct regulatory reporting, and collaborate with engineering, legal, IT, and leadership. Mentor junior analysts and lead high-severity incident response activities across on-premises, cloud, and hybrid environments.

Support enterprise DLP and DSPM operations by monitoring and investigating data security incidents, tuning policies, conducting data discovery and classification, managing cloud and SaaS data sources, and preparing compliance reports and security metrics. The role collaborates with security, legal, privacy, compliance, HR, infrastructure, and business teams on incident response, remediation, and continuous improvement.

Leads software engineering for scalable backend systems, data platforms, and pipelines supporting analytics and AI products. Manages data engineering contractors, reviews architecture and code, drives engineering standards, and partners with product and program teams on delivery. Oversees reliability, security, testing, CI/CD, observability, technical risk, and engineering metrics while helping build a future full-time engineering organization.

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 AWS infrastructure across production, staging, and development environments. Responsibilities include incident response, troubleshooting, root cause analysis, monitoring, access management, patching coordination, resource and cost optimization, and maintaining high availability. The role supports Terraform-based provisioning, drift remediation, automation, and CI/CD infrastructure deployments while collaborating with Engineering, Security, and Data teams.

Develop and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, implement microservices and APIs, ensure security and code quality, and support testing, deployment, monitoring, and incident remediation. Contribute to CI/CD automation, Agile ceremonies, technical documentation, proof-of-concepts, and AI-assisted software development practices. Work with relational and NoSQL databases, containers, DevOps tools, and emerging AI technologies.

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.

Design, build, deploy, and operate enterprise AI, machine learning, generative AI, and agentic AI systems. Productionize prototypes into scalable platforms, develop end-to-end ML pipelines and LLM applications using RAG and vector databases, and implement MLOps and AgenticOps practices. Architect cloud-native services with Kubernetes and microservices, optimize reliability and performance, and ensure security, privacy, compliance, governance, and responsible AI standards. Collaborate with technical and business stakeholders on reusable AI capabilities and strategic roadmaps.

The Senior Solutions Architect advises Professional Services teams on complex Edwin AI implementations, including customer discovery, solution design, integrations, estimates, statements of work, deployment oversight, troubleshooting, and technical escalations. The role defines delivery best practices, mentors regional teams, ensures consistent global delivery, collaborates with product and project teams, contributes customer feedback to the product roadmap, and supports professional services package development. Travel of up to 25% is required.

Build, operate, and scale cloud infrastructure and deployment pipelines for a secure FedRAMP-authorized environment. Develop automation for reliable microservice operations, manage platform systems and runbooks, monitor infrastructure, improve performance and MTTR, participate in on-call and incident response, and contribute to operational architecture and SRE practices.

Build and maintain a canonical customer operating data layer integrating Salesforce, Jira, Langfuse, Snowflake, product telemetry, and other sources. Develop data models, integrations, reconciliation logic, automation, alerts, executive reporting, and AI-supported customer summaries. Translate lifecycle requirements into reliable workflows and production-ready code while partnering with business, technical, BI, and source-system stakeholders. Establish data governance, metric definitions, freshness standards, and reporting consistency for customer health, adoption, renewal, and expansion decisions.

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

Design and build data services and pipelines supporting machine learning products. Develop automation tools for model deployment, maintain production data systems, improve infrastructure, participate in code reviews, and collaborate across engineering, data science, and product teams. The role requires expertise in distributed systems, large-scale data processing, CI/CD, container orchestration, and AI-enabled workflow improvements.

Lead the architecture, automation, operation, and scaling of database platforms across AWS and on-premises environments. Build infrastructure-as-code, self-service tooling, schema migration workflows, compliance controls, and reference implementations. Establish technical standards, mentor engineers, collaborate across software, data, and SRE teams, support audits, and participate in a 24/7 on-call rotation.

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.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

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.