Top AWS Jobs in Pune

Maintain and improve availability, disaster recovery, change and release processes. Build and manage DevOps pipelines, IaC (Terraform), containerized deployments (Docker, Kubernetes), monitoring, and automation. Support cloud (AWS/Azure) operations, troubleshoot service issues, document procedures, and participate in technology evaluations and deployments.

Develop and maintain identity and access management solutions and business-specific configurations. Translate IAM requirements and UX designs into coded solutions using reusable components, collaborating with architects, technical leads, QA, UX/UI, DevOps, and product teams. Produce configuration and code artifacts through continuous delivery, document solutions, support change requests, and work with external customers. The role requires IAM protocol expertise, Java and web development skills, Unix experience, Agile collaboration, and occasional after-hours or on-call availability.

Develop and deliver scalable, secure Java applications using distributed systems, Apache Kafka, cloud-native platforms, and Kubernetes. Lead technical design, architecture, testing, secure coding, and continuous improvement while collaborating across teams and mentoring developers. Drive enterprise application development, stakeholder alignment, risk management, and operational excellence across distributed environments.

Develop and support Python-based risk applications for global Risk Management Technology. Design, integrate, test, deploy, and troubleshoot solutions using Numerix services for PFE and other risk measures. Collaborate with quants, business users, project managers, and engineers to deliver scalable solutions, perform functional and regression testing, support production releases, and resolve issues. The role requires Python, SQL, cloud, software development lifecycle, and financial risk technology experience.

Leads development of scalable risk-management applications supporting counterparty credit risk analytics and PFE calculations. Partners with quants, business users, project managers, and developers to design, implement, test, deploy, and support solutions integrating Numerix services. Oversees release readiness, production validation, troubleshooting, documentation, and user support while providing technical leadership, architectural direction, mentoring, and delivery accountability.

Lead the design, development, and maintenance of enterprise Java backend applications using Spring Boot, microservices, REST APIs, AWS, Hibernate, and JPA. Participate in architecture and system design, conduct code reviews, troubleshoot issues, optimize performance, and mentor developers. Collaborate with architects, QA, DevOps, and business stakeholders to support successful project delivery.

Lead end-to-end solution architecture for Java and Spring Boot microservices, cloud-native platforms, full-stack applications, and event-driven systems. Drive modernization, cloud migration, security, scalability, and resilience initiatives across Azure or AWS environments. Produce architecture deliverables, incorporate AI capabilities, collaborate with product and engineering stakeholders, and mentor senior engineers while guiding enterprise technology decisions.

Develop scalable full-stack applications using React, Next.js, TypeScript, and Node.js. Build REST and GraphQL services, integrate OpenAI and Claude models, and create agentic AI, MCP, and RAG solutions. Implement cloud-native deployments, Docker containers, CI/CD pipelines, and secure software architectures while collaborating with cross-functional teams. Use AI-assisted coding tools to improve development productivity.

Build and maintain full-stack features using React, TypeScript, Java, Spring Boot, REST, and GraphQL. Develop accessible interfaces, backend APIs, SQL queries, and data-processing workflows. Write tested code, review contributions, troubleshoot performance, validate AI-generated code, and collaborate with Product, UX, QA, and engineering teams in an Agile environment. Support production systems while applying data privacy and AI security practices.

Build and improve production-oriented enterprise AI solutions using prompts, LLMs, RAG, workflow automation, APIs, governed data, and evaluation frameworks. Integrate systems such as Salesforce, Slack, Snowflake, and AWS using n8n, Python, JavaScript, or TypeScript. Apply context engineering, observability, security, privacy, testing, and reliability controls while partnering with business, product, data, security, and engineering stakeholders.

Develop and maintain scalable .NET applications across backend and UI layers using cloud platforms, modern architecture, CI/CD, and infrastructure-as-code. Responsibilities include unit testing, deployments, troubleshooting, documentation, security, scalability, Agile planning, and resolving medium-complexity issues. The role requires strong C# and .NET experience, cloud expertise, source control, and software development practices, with GCP preferred.

Design, develop, and maintain large-scale Java and AWS applications using Spring Boot, React.js, microservices, CI/CD, and infrastructure-as-code practices. Build scalable cloud solutions, implement automated testing, maintain security and compliance, and integrate systems across business and technology stakeholders. The role involves solving complex technical problems, contributing to architecture and delivery, mentoring engineers, managing risk and controls, and influencing technical decisions across the organization.

Designs, deploys, administers, and optimizes Splunk environments across on-premises and cloud platforms. Builds dashboards, alerts, reports, data integrations, and monitoring solutions; automates onboarding and parsing with scripts; supports DevOps observability, security compliance, network visibility, and threat detection. Troubleshoots ingestion and visualization issues, manages clustering and access controls, and integrates third-party applications.

Provides organization-wide technical leadership for large-scale distributed systems and platform architectures. Defines technical strategy, drives scalability, reliability, modernization, observability, and developer productivity, and leads cross-team initiatives without direct authority. Partners with engineering, product, and business leaders on architecture and roadmaps, advances AI-assisted development, mentors senior engineers, and contributes to technical due diligence.

Provides organization-wide technical leadership for large-scale distributed systems and platform architectures. Defines technical strategy, drives scalability, reliability, modernization, observability, and developer productivity, and leads cross-functional initiatives. Advances AI-assisted development, partners with engineering and business leadership, mentors senior engineers, reduces technical debt, and influences architecture and operational maturity across teams.

Designs, builds, and operates secure, scalable cloud data platforms supporting analytics, machine learning, and enterprise data needs. Responsibilities include cloud infrastructure, Terraform and GitHub pipelines, data ingestion and processing, governance, data quality, monitoring, disaster recovery, CI/CD, cost optimization, and integrations. The role partners with data scientists, analysts, architects, security teams, and business stakeholders while mentoring engineers and influencing cloud architecture and platform best practices.

Build, maintain, and modernize front-end features and design system for Vena's core platform. Fix complex bugs and performance issues, conduct code reviews, collaborate with cross-functional teams, improve testing and accessibility, mentor teammates, and drive adoption of AI-driven development practices.

Leads enterprise-scale Databricks lakehouse architecture and implementation, designing governed data platforms, scalable ETL/ELT pipelines, data models, integrations, security policies, and real-time analytics. Collaborates across data science, analytics, and platform teams while providing client leadership, execution ownership, performance optimization, and technical guidance on Unity Catalog, Delta technologies, data sharing, BI integrations, and advanced AI capabilities.

Leads enterprise data platform architecture and delivery, designing secure Databricks lakehouse solutions, scalable ETL/ELT pipelines, governance, data sharing, and analytics integrations. Provides hands-on guidance across Unity Catalog, Delta Lake, DLT, cloud platforms, data privacy, performance optimization, and real-time reporting. Partners with data science, analytics, and platform teams while providing client leadership, thought leadership, execution ownership, and people development.

Architects and implements enterprise-scale Databricks lakehouse platforms, including ingestion, transformation, governance, security, data sharing, and BI integrations. Leads Unity Catalog, Delta Lake, DLT, cloud architecture, performance optimization, and compliant PII management. Provides technical and client leadership across data, analytics, platform, and data science teams while guiding adoption of advanced Databricks capabilities and developing people.

Owns the design, operation, and reliability of SaaS infrastructure across Kubernetes, OpenStack, AWS, and OCI. Builds infrastructure-as-code automation, CI/CD pipelines, monitoring, and security practices; troubleshoots production incidents and leads root-cause analysis. The role contributes to architecture and roadmap decisions, improves scalability and cost efficiency, participates in on-call rotation, and mentors junior engineers.

Designs end-to-end architectures for Java and Spring Boot microservices, full-stack applications, and cloud-native platforms. Leads modernization, cloud migration, platform re-architecture, and AI/GenAI integration initiatives across Azure or AWS environments. Defines scalable, secure, resilient solutions using APIs, Kafka, Docker, and Kubernetes; produces architecture documentation and leads design reviews. Collaborates with product, engineering, and governance teams while mentoring senior engineers and driving technical best practices.

Lead the design, development, operation, and continuous improvement of Syngenta’s enterprise Databricks-based data mesh platform. Ensure platform reliability, scalability, security, governance, data quality, and interoperability while enabling data engineering, analytics, and data science teams. Manage technical evaluations, prototypes, prioritization across business initiatives, stakeholder communication, team leadership, and delivery of secure data ingestion, processing, and sharing capabilities.

Leads the design, development, operation, and continuous improvement of Syngenta’s enterprise Databricks-based data mesh platform. The role focuses on reliability, scalability, security, governance, interoperability, and enabling data engineering, analytics, and data science teams. Responsibilities include developing ETL/ELT solutions, delivering prototypes and experiments, evaluating technologies, prioritizing initiatives, managing stakeholders, solving complex problems, and leading teams.

Monitor applications, infrastructure, cloud resources, Kubernetes environments, and containerized services in a 24/7 rotational support team. Investigate alerts using logs, metrics, traces, and dashboards; troubleshoot incidents; manage ServiceNow tickets; escalate critical issues; conduct shift handovers; and improve monitoring, documentation, and operational processes. The role also uses basic SQL, Linux commands, cloud monitoring, and approved AI tools to support investigations and develop operational utilities.