Top AWS Jobs in Pune

As an Automation Engineer, you'll test and analyze a SaaS-based datacenter monitoring solution, design test cases, and contribute to automation coverage to ensure software quality.

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.

Operate and improve multi‑cloud (AWS/Azure/hybrid) platforms with SRE practices: lead incident triage and RCA, manage Kubernetes and CI/CD pipelines, implement IaC and automation, enhance observability/AIOps, and drive DevSecOps and operational excellence across global 24x7 operations.

Lead design and delivery of modern, secure, scalable cloud-native data platforms (Lakehouse) across AWS and Azure. Drive DevOps/IaC, data governance, medallion architecture, performance and cost optimization, mentor global engineers, and collaborate with stakeholders to translate business requirements into production data solutions.

Build, maintain, and optimize data pipelines and infrastructure for Mastercard's internal data lake. Implement ETL/ELT, data modeling, integration, validation, and archival processes; ensure data quality, performance, security; collaborate with stakeholders, participate in code reviews, automate deployments, and document data lineage.

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.

Design, develop, test, and maintain Java-based microservices. Build automated tests and CI/CD pipelines, support deployments and production, troubleshoot issues, and mentor junior engineers while collaborating with product and cross-functional teams.

Lead backend and data platform engineering: design, build, and maintain large-scale batch and streaming pipelines (Scala/Python/Java, Spark/CDP), support Cloudera and cloud (AWS/Databricks) architectures, create AI-powered agents for automation/anomaly detection, enable downstream analytics, and mentor teammates.

Senior Security Engineer designs and implements multi-cloud security controls, builds policy-as-code and IaC guardrails integrated into CI/CD, hardens container/Kubernetes workloads, owns vulnerability analysis and remediation, supports incident response and forensics, partners on compliance evidence, mentors engineers, and participates in on-call incident rotations.

Lead technical security engineering for cloud environments: design cloud controls, build policy-as-code and IaC guardrails, harden containers, automate remediation, own vulnerability management and incident escalation, translate compliance requirements into automated controls, mentor engineers, and maintain runbooks/on-call duties.

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.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

Design, build, and maintain high-performance Java-based microservices and utilities. Implement secure, scalable solutions with automated testing, CI/CD, monitoring, and containerization. Mentor engineers, collaborate with cross-functional teams and architects, act as SME for initiatives, and ensure compliant, efficient SDLC and excellent developer experience.

Design, build, deploy, and operate cloud-native Java applications on Databricks/Snowflake and AWS/Azure. Lead incident response, production reliability, CI/CD, DevOps automation, migrations, and cross-functional agile collaboration.

Support and enhance observability for a cloud/SaaS platform: review logs and performance data, maintain SIEM/APM tools (Splunk, Uptrends, Datadog), write regex and complex Splunk queries, build dashboards/alerts, automate processes, and document monitoring configurations and upgrades.

Manage and operate AWS infrastructure across multiple accounts and environments. Troubleshoot incidents, monitor health and costs, ensure availability and performance, provision resources with Terraform, detect and remediate drift, automate operational tasks, and collaborate with engineering, security, and data teams to support CI/CD deployments and scalable, secure cloud architectures.

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.

Maintain uptime for a SaaS observability platform by deploying production applications, securing environments, automating infrastructure and operational tasks (Python/Terraform/Kubernetes), collaborating with developers and senior engineers, producing runbooks/documentation, and developing AI-assisted automation workflows.

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.

Senior Technical Functional Analyst delivering technical-functional requirements, workshops, and implementation-ready specs. Leads discovery on system behaviour, integrations, APIs and data models, writes user stories and acceptance criteria, supports testing and documentation, and collaborates with stakeholders, development teams, and vendors to enable reliable delivery.

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 and coach backend engineering teams to design, build, deploy, and operate global digital payment authentication products. Hire and develop talent, drive architecture, prioritize technical debt, ensure cloud-native deployments, testing strategies, and engineering productivity across services.

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

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.

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.