Top AWS Jobs in Pune

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.

Lead design and delivery of GCP data platforms using BigQuery, Pub/Sub, and Dataflow. Architect high-volume ingestion and ETL pipelines, drive cloud migrations, mentor engineers, ensure security, cost optimization, and stakeholder alignment to deliver analytics and ML-ready data solutions.

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 full-stack web applications and scalable data pipelines. Build intuitive UIs, backend data models, performant analytics, write and review tests, mentor junior engineers, and collaborate with product and design to deliver customer-focused solutions.

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.

The Site Reliability Engineer will ensure cloud-native system stability and performance, manage AWS infrastructure, and optimize reliability in Java microservices.

Develop and integrate scalable front-end solutions using JavaScript, ReactJS, NodeJS, and related technologies. Responsibilities include requirements analysis, technical design, code reviews, API integration, micro-frontend development, performance optimization, documentation, deployment support, production troubleshooting, and technical debt remediation. The role collaborates with business, technology, operations, and data teams to deliver end-to-end solutions.

Drive LogicMonitor customer adoption, onboarding, training, troubleshooting, retention, renewals, and value realization at scale. Serve as a trusted technical advisor, manage customer cases and SLAs, identify churn risks, support escalations during incidents, conduct business reviews, and collaborate with Customer Success Managers, account owners, executives, support, and other cross-functional teams.

Drive customer adoption and expertise for LogicMonitor’s SaaS observability platform. Responsibilities include onboarding, training, troubleshooting, case and SLA management, best-practice consulting, customer value realization, retention, renewal reviews, escalation support, and identifying expansion opportunities. The role partners with Customer Success Managers, account owners, executives, technical support, and other teams while supporting customers through automation and individual engagements.

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.

Lead the design, delivery, operation, and evolution of enterprise CI/CD platforms using Bitbucket, SonarQube, and Artifactory. Own reliability, monitoring, security, automation, scalable build environments, incident response, and continuous improvement. Establish engineering standards and governance, improve developer experience, guide roadmap priorities, review technical changes, mentor engineers, and drive adoption across teams. Requires extensive enterprise platform, DevOps, SRE, cloud, containerization, and automation experience.

Collaborate with client-facing teams to gather technical requirements, design and implement GenAI and data solutions, write production-ready code and tests, follow architecture and coding best practices, use version control and CI/CD, and research/evaluate new technologies and prototypes.

Develop and configure ZAIDYN data pipelines and analytics-ready and AI-ready data products. Responsibilities include ETL development, data modeling, data quality rules, KPI computation, cloud and big-data integration, testing, deployment, documentation, and client delivery. The role translates business requirements into technical solutions, collaborates with global engineering and analytics teams, supports project planning, mentors junior colleagues, and manages assigned workstreams.

Work with internal and client teams to analyze business problems, design and implement technical solutions using best practices, apply development methodologies, assist in implementation, and support project planning and QA for technology engagements.

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 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.

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

Lead and scale multiple security and access management programs across engineering and cloud operations. Plan and oversee technical initiatives, collect requirements, drive automation for governance, mitigate risks, and deliver dashboards/KPIs to Executive Leadership. Advocate tooling and improve traceability for security, compliance, and risk initiatives.

Design and build production-grade AI applications embedding ML/LLM capabilities. Integrate trained models into APIs, services, UIs, and workflows. Operationalize models (versioning, deployment, monitoring), implement guardrails, ensure security/privacy/compliance, apply bias mitigation and explainability, and mentor team members on AI engineering best practices.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

The Senior Software Engineer will develop macOS applications and backend services in Java and Go, collaborating internationally and mentoring juniors.

Owner of SailPoint's SaaS QMS: maintain policies, coordinate evidence and audits across multiple frameworks, run internal audit and CAPA programs, embed quality in engineering workflows, support GxP vendor qualification for life-sciences accounts, and drive evidence automation and continuous improvement.

Support and grow customer adoption of Mastercard's AINS Transaction Risk Monitoring via MPGS. Manage customer relationships, drive upsells, participate in implementations, coordinate internal teams, and ensure ongoing customer satisfaction and engagement globally.