Top AWS Jobs in Pune

Senior AppSec SME embedded in ATHIP responsible for driving application security strategy, governance, training, threat modeling, scanning, vulnerability remediation, CI/CD security integration, ASVS enforcement, and mentoring Portfolio Security Leads and Security Champions across the division.

Lead design and delivery of scalable, secure full-stack solutions using Java Spring Boot, cloud-native architectures, containers, and Angular. Influence technical strategy, mentor teams, collaborate with stakeholders, and ensure risk controls, testing, and performance for securitization financing platforms.

Design, build and maintain data pipelines, data warehouses and lakes using PySpark, Snowflake and AWS analytics services. Implement scalable ETL/ELT, collaborate with data scientists for ML deployment, ensure data governance, security and high-quality deliverables while leading or advising team members.

Lead enterprise-wide application migration and integration programs: engage C-level stakeholders, develop business cases, design target-state architectures, coordinate cross-functional teams, and oversee assessment, planning, execution and governance to achieve transformation and migration outcomes.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

Design, build and maintain cloud data pipelines, data warehouses and lakes; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or support team operations and ensure security, controls and continuous improvement.

Lead design, development, and delivery of scalable, secure data platform and engineering solutions. Drive Python/PySpark development, AWS cloud deployments, data warehousing, ETL, operational stability, and cross-functional collaboration while promoting code quality, testing, and technical leadership.

Design, build, and maintain enterprise-scale data hydration and integration frameworks to ingest, transform, enrich, validate, and expose AI-ready data. Implement batch and real-time pipelines, governance, lineage, observability, and resilience; integrate via APIs, event streams, ETL/ELT patterns, and cloud data platforms. Collaborate with stakeholders, support production deployments and incident resolution, and mentor junior engineers.

Lead distributed engineering teams to deliver scalable, high-volume user-facing web applications for IT Asset Disposition and reverse logistics. Partner with Business and Product to set priorities, manage delivery, incident management, production support, and reliability. Improve onshore/offshore collaboration, use Jira/Confluence for planning and documentation, and drive operational excellence and stakeholder communication in a fast-paced environment.

Develop and maintain data and records governance frameworks, monitor data quality and compliance, identify and remediate data risks, and implement records management and data governance programmes. Lead or advise teams, provide guidance and training, engage stakeholders, produce requirements documentation, and deliver data pipelines, ETL, and reporting solutions to support business objectives.

Analyze and model data to produce reports, dashboards, and visualizations. Build and optimize SQL/Snowflake queries, aggregate data, and create BI reports in Domo. Identify data sources, improve data quality, and provide actionable insights to improve business performance.

Lead design, build, and delivery of scalable, secure infrastructure and software solutions on AWS. Implement IaC, CI/CD pipelines, containerization with Docker/Kubernetes, monitoring, and security tooling. Collaborate cross-functionally, mentor teams, and drive operational excellence and governance.

Senior technology operations leader responsible for a global 24x7 Technology Command Center, major incident and problem management, operational resiliency, AIOps-driven modernization, cloud operations, and driving automation and SRE practices to reduce MTTR, prevent recurring incidents, and improve service availability and cost efficiency across critical financial services platforms.

Lead design and implementation of ServiceNow ITOM Event Management and Dynatrace observability to reduce alert noise, automate incident correlation and remediation, implement observability-as-code via APIs/CI-CD/Terraform, leverage AI/ML for root-cause and predictive monitoring, and track KPIs like MTTR and alert reduction.

Build data-driven solutions and BI using Python, Power BI, and SQL. Implement DevOps pipelines with GitHub Actions/Azure DevOps, deploy on Azure/AWS, integrate APIs, apply unit testing and automation, and collaborate in Agile/Scrum with global teams. Support solution design, effort estimates, and use ML/DL/LLMs for intelligent features.

Design, develop and deliver scalable, secure software solutions across the enterprise data domain using Python and AWS. Collaborate with product, design and engineering teams, lead or mentor peers, implement end-to-end solutions, ensure testing and secure coding, and support DevOps/infrastructure deployments for data, analytics, AI enablement and reporting platforms.

Design, develop, test, and maintain scalable, secure backend services and CI/CD pipelines on AWS. Collaborate with product, DevOps, and stakeholders; participate in code reviews, troubleshooting, tenant onboarding, and technical documentation. Promote best practices for security, unit testing, and performance.

Lead and deliver multiple software projects, planning schedules, allocating resources, managing stakeholders, tracking risks/issues, ensuring quality/compliance, handling scope changes and escalations, and supporting proposals with estimates.

Design, build, and own low-latency (sub-50ms) real-time Fraud Risk Management systems. Implement streaming/event-driven pipelines (Kafka), optimize PostgreSQL/Redis/Pinot, develop efficient algorithms in Python and Go, ensure correctness, idempotency, and reliability, collaborate with Risk/Compliance/Product, and operate systems on AWS with strong testing and performance tuning practices.

Assist in deploying and managing containerized applications, monitor Docker and Kubernetes workloads, troubleshoot Linux, networking, and application issues, support CI/CD and infrastructure automation, work with REST APIs and databases, and maintain operational documentation while collaborating with development and infrastructure teams.

Design, develop, and maintain credit scoring and real-time decisioning models using machine learning and alternative data. Validate models via A/B and back testing, integrate into production, monitor performance, and ensure regulatory compliance while collaborating with engineering and product teams.

Lead development and production deployment of AI/ML models focused on personalization, recommendations, segmentation, and predictive analytics. Collaborate with data engineering and development teams to ensure data readiness, integrate models into production (real-time systems like Kafka), apply AIOps to monitor performance, and mentor an AI/ML team.

Design and build high-throughput, low-latency transaction processing platform services using Python and Go. Implement scalable frameworks, streaming/event processing with Kafka, backing stores (MySQL, Redis, Elasticsearch), and ensure performance, resilience, and production readiness on AWS.

Design, develop, and execute manual and automated tests for React frontends and FastAPI/Python backends. Validate REST APIs, databases, and medical imaging workflows (DICOM/HL7). Perform functional, regression, integration, and performance testing, integrate tests into CI/CD, document QA artifacts, and support compliance and audit activities while collaborating with engineering and clinical stakeholders.

Design, implement, and maintain CI/CD pipelines and cloud infrastructure using IaC. Monitor, troubleshoot, and ensure high availability and security. Automate operations, implement observability, manage containers (Docker, Kubernetes), and ensure backup/disaster recovery while fostering DevOps culture across teams.