Top AWS Jobs in Pune

Lead enterprise data and AI architecture for global clients, defining cloud-native target architectures, modernization roadmaps, governance frameworks, and GenAI solutions across AWS, Azure, and GCP. Advise executives, guide global engineering teams, oversee technical governance, support proposals and thought leadership, and build reusable architecture assets and centers of excellence.

Build and deliver client technology solutions using ETL platforms, SQL, data warehousing, programming, and cloud technologies. Own assigned activities across project lifecycles, apply Agile or Waterfall methodologies, support requirements, architecture, prototyping, testing, and operations, and assist with project management. Collaborate with global teams and clients while applying creative, analytical, and consulting-oriented problem solving.

Lead consulting engagements that translate business requirements into technical solutions. Design and deliver data platforms, ETL pipelines, analytics solutions, architectures, prototypes, testing, deployment, and operations plans using Databricks, Snowflake, Python, PySpark, SQL, and AWS. Manage project teams, distribute tasks, mentor junior staff, communicate with clients, support project planning and risk mitigation, and ensure high-quality delivery across global teams.

Collaborates with internal and client teams to analyze business problems, translate requirements into technical designs, and implement technology solutions. Develops technical features using appropriate methodologies, testing practices, and technology stacks. Supports project implementation planning, interprets business requirements, and contributes to small- and medium-scale client engagements involving databases, programming, cloud platforms, and analytics.

Develop and scale generative AI applications, including RAG pipelines, answering engines, extraction tools, and content-authoring solutions. Build and optimize prompts, embeddings, vector databases, caching layers, and other GenAI components. Collaborate with data scientists and clients to deploy machine learning pipelines and manage the ML lifecycle using cloud platforms such as AWS, Azure, and GCP. Apply software engineering, DevOps, CI/CD, and distributed computing practices to create scalable, user-focused AI products.

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.

Lead the design and development of scalable cloud-native data platforms and batch or real-time pipelines supporting AI, machine learning, and Generative AI. Build infrastructure for feature engineering, model training, inference, LLMs, RAG, embeddings, and vector databases. Ensure data quality, governance, security, observability, reliability, and cost efficiency while enabling MLOps and AgenticOps capabilities across enterprise AI initiatives.

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.

Leads end-to-end cloud technology consulting projects, delivering scalable data and technology solutions for clients. Responsibilities include project leadership, technology strategy, delivery management, cloud architecture, data management, analytics, process automation, application development, team mentoring, business case development, and global client collaboration. The role also requires troubleshooting database, operating system, and application interactions and traveling as needed for client engagements.

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.

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.

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.

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

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.