Top AWS Jobs in Pune

Design, build, and deliver scalable full-stack web applications and data pipelines. Implement intuitive UIs, data models, and APIs; write and review performant, well-tested code; mentor junior engineers; collaborate with product and cross-regional teams to drive analytics products and process improvements.

Lead global product strategy and roadmap for Payment Performance Intelligence; identify white-space opportunities, define requirements, manage P&L, drive commercialization and go-to-market, lead a team of product managers, and partner with engineering, sales, and stakeholders to deliver scalable payments solutions.

Lead architecture, design, and implementation of enterprise finance data platforms and lakehouse solutions. Drive Spark and Iceberg-based batch and streaming pipelines, Kafka event architectures, APIs/microservices, CI/CD, IaC, and governance. Mentor engineers and collaborate with product, finance, and cross-functional teams to meet regulatory reporting and data quality requirements.

Lead technical strategy and architecture for enterprise cloud platform infrastructure. Design scalable, multi-tenant systems; build automation, CI/CD, and IaC tooling; drive security, compliance, FinOps, observability, performance/chaos testing; mentor engineers and lead cross-functional platform modernization initiatives.

Lead technical design and strategy for Coupa's cloud platform: architect multi-tenant, scalable cloud systems; drive automation, CI/CD, IaC, quality engineering, security/compliance, FinOps, observability; mentor engineers and lead cross-functional platform modernization and release initiatives.

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.

As a Lead Software Engineer, you will architect, design, and implement high-performance Cross Border payment solutions, guide a team, and drive innovative technology solutions.

Lead Software Engineer responsible for designing, developing, and scaling software solutions. Collaborate in Agile teams to ensure high quality and secure applications while mentoring junior engineers.

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.

Design, develop, and support secure, scalable full-stack Java applications. Build RESTful services, responsive UIs, participate in architecture and agile ceremonies, support testing, and collaborate with product and global teams.

Design, build, and operate scalable batch and near-real-time data pipelines and microservices using Java, Spark, and cloud-native technologies. Enable ETL/ELT across Data Lakes and Warehouses, ensure data quality and performance, deploy on cloud (AWS/Azure/GCP), leverage CI/CD and IaC, implement monitoring and observability, troubleshoot production systems, and mentor junior engineers.

Build and own Java/Spring backend services and REST APIs, develop Angular/Node.js UIs, deliver end-to-end features, ensure quality via testing and CI/CD, operate production systems on cloud/Kubernetes, troubleshoot incidents, and collaborate across teams.

The Senior Specialist will partner with Product Managers and engineers to analyze data, support product roadmaps, and enhance product delivery, leveraging analytics to track performance and identify opportunities.

Build and deliver reliable, maintainable Java or Go microservices for a cloud-native, event-driven SaaS platform. Produce designs, estimates, unit and end-to-end tests, participate in code reviews, collaborate with cross-functional peers, and support SLOs and observability to ensure scalable production systems.

As a Senior Software Engineer, you will design, develop, and scale authentication and security solutions, mentor junior engineers, and collaborate in an Agile environment.

The Appian Architect will design and implement AI-driven process automation solutions, focusing on complex workflows and multi-agent orchestration, while providing technical leadership and ensuring compliance with governance standards.

Lead design and implementation of enterprise Anaplan Sales Performance Management and planning solutions. Translate business requirements into technical designs, own solution architecture and integrations (Salesforce, SAP, Snowflake, Databricks, Azure, AWS), manage delivery and testing (SIT/UAT/deployment/hypercare), mentor a team of Anaplan developers, run workshops with stakeholders, and support business development and operational readiness.

The Senior Software Engineer designs, develops, and deploys scalable applications, leads team discussions, mentors junior engineers, and drives technical standards.

The BizOps Engineer II supports change management, release management, automates monitoring, analyzes ITSM activities, and improves system reliability and performance.

Lead and grow agile engineering teams to design, build, and operate large-scale, distributed payment systems. Provide hands-on technical leadership across architecture, code quality, testing, CI/CD, security, and cloud-native deployments while partnering with product and program teams to ensure predictable, high-quality delivery.

The Database Platform Engineer II will manage and optimize database platforms, support cloud solutions, automate processes, and ensure compliance with security standards, while collaborating with developers on best practices.

Deliver end-to-end data engineering and technology solutions for clients: translate business requirements to technical designs, lead teams to build ETL/data pipelines on Databricks and Snowflake, optimize queries and pipelines, manage project delivery and client communications, mentor junior staff, and ensure security, monitoring, and operational readiness.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Design and implement secure multicloud (especially Azure) architectures, define security standards, lead threat modeling and risk assessments, automate cloud security (IaC/CI-CD), integrate AI/ML for detection and automation, mentor engineers, and partner with cross-functional teams to ensure secure AI model lifecycle and cloud operations.

Lead product development for complex platform capabilities, defining requirements and ensuring alignment with product strategy, while managing project planning and delivery across multiple teams.