Top AWS Jobs in Pune

The AWS Data Engineer builds and maintains systems for data collection, storage, processing, and analysis. Responsibilities include designing data architectures, collaborating on machine learning models, advising decision-making, and ensuring operational effectiveness.

Design, build and maintain ETL mappings and data models; write SQL and Snowflake queries; manage ETL/infrastructure on AWS (EC2); use Informatica, Control-M and ServiceNow; script in Python/Shell/PowerShell; collaborate with onshore/offshore teams and define BI delivery strategy.

Design and develop Java/J2EE applications using Core Java, Servlets/JSP, Spring Boot and REST services. Implement multithreaded logic, database interactions (SQL/Oracle, ORM), messaging (ActiveMQ), and basic Unix/shell scripting. Collaborate in agile teams and communicate effectively; cloud, scheduling, UI, and financial domain exposure are beneficial.

Design and develop backend services using Java/J2EE and Spring Boot. Build REST APIs, handle multithreading, work with SQL/Oracle and ORM (Spring Data JPA/Hibernate), use Unix/shell scripting, and integrate messaging platforms (ActiveMQ/Kafka). Collaborate in Agile teams and communicate effectively with stakeholders. Cloud, UI, and financial domain exposure are desirable.

Senior software engineer responsible for automation and scripting across AWS (CLI/SDKs, Boto3), Groovy, CI/CD pipelines, CloudFormation, ML automation, and hands-on AWS services (EC2, S3, RDS, Lambda). Database background is a plus.

Design, build, and maintain high-scale, high-reliability backend services. Collaborate with cross-geo engineering and design teams, implement best engineering practices, build platform capabilities, write automated tests, and participate in technical reviews and demos.

Design, develop, and support cloud-ready application platforms for fund and investment operations. Participate in planning, execution, and delivery; implement Java/Spring Boot services, REST APIs, database integration, messaging, and scripting; collaborate with product teams to solve business problems and align with technology blueprint.

Develop and maintain Java backend services and REST APIs using frameworks like Spring. Build on AWS (S3, DynamoDB, Glue, Kinesis), deploy on Kubernetes, and work with NoSQL datastores. Collaborate on monitoring, CI/CD, and data pipeline integrations.

Develop and maintain Java (8+) web applications using Spring Boot. Design, build, and document customer-facing RESTful APIs. Work with AWS services (SQS, Lambda, DynamoDB, RDS, S3, Kinesis, CloudFormation). Interpret high-level requirements, ask clarifying questions, self-learn, manage time, and deliver across the full development lifecycle to production.

Operate and support cloud infrastructure with weekend on-call responsibility. Manage AWS services, databases, Snowflake, job schedulers, ITSM, monitoring platforms, and automate with Python/shell scripting.

Design and develop high-performance, fault-tolerant Java/J2EE microservices on AWS. Build REST APIs, backend SQL/stored-procedure components, and message-driven systems using Kafka. Deploy containerized (Docker/Kubernetes) 12-factor apps to AWS EKS, use CI/CD pipelines, and perform performance tuning and monitoring with Datadog/Splunk. Work in DevOps environments, apply FinOps practices, prototype POCs, and lead cross-team communication and technical decisions.

Senior Software Engineer role in Chennai (6-9 years) responsible for building Java/J2EE REST APIs and services using Spring (MVC/Core/Boot), working with JavaScript, JSON/XML, DynamoDB, Oracle/PostgreSQL, and participating in CI/CD practices. Front-end frameworks (Angular/React) and NodeJS are nice-to-have.

Develop and modernize brokerage platform components using Java/Spring Boot microservices and AWS services. Build REST APIs, collaborate with the Core Brokerage Platform team, and support platform enhancements and integrations.

Design and build Python-based microservices and REST APIs using FastAPI. Deploy and operate services on AWS (EC2, S3, Lambda, RDS) with secure networking (VPC, IAM). Containerize and orchestrate workloads with Kubernetes and manage YAML manifests. Implement data flows with Apache NiFi, build CI/CD pipelines (Jenkins, Git, Kompass), optimize relational DBs with SQL, and deliver features in an Agile environment.

Build and maintain ETL pipelines and data warehouses on AWS/Snowflake to power multi-channel marketing reporting and self-service analytics. Develop dashboards (Tableau/PowerBI/Qlik), ensure data quality, manage latency/completeness, and support ad-hoc exports and reporting rationalization.

Develop and maintain Java-based microservices using Spring/Spring Boot and REST APIs. Build/debug cloud-native services on AWS (S3, Lambda, RDS), use Hibernate, collaborate in Agile teams, and manage code with Git and Jira.

Build, support, and test large-scale AWS cloud-native applications using Java and Apache NiFi to integrate data across AWS services. Own secure SDLC and CI/CD practices, implement microservices/serverless/event-driven architectures, and collaborate with stakeholders to deliver high-quality software.

Senior software engineer responsible for developing cloud-based solutions using AWS services (S3, Lambda, RDS, DMS, Kinesis, EC2), Python scripting, and SQL/Oracle PL/SQL. Role requires strong debugging and analytical skills and working knowledge of Agile methodologies. Nice-to-have experience includes CloudFormation, Glue, Step Functions, data migration, microservices, ETL tools, and Java REST web services.

Build and maintain data pipelines, warehouses, and lakes on AWS; design processing algorithms; collaborate with data scientists to deploy ML models; drive platform performance, stability, and controls while leading or advising teams.

Design, implement, and maintain scalable AWS infrastructure and CI/CD pipelines. Automate provisioning (Terraform/CloudFormation/Ansible), manage containers (Docker/EKS), ensure monitoring, security, cost optimization, and disaster recovery, and collaborate with development and QA for reliable deployments.

Design and oversee technical architecture, define system standards, collaborate with stakeholders, guide engineering teams on implementation, ensure scalability, reliability, and alignment with business goals.

Design and define technical architecture, guide development teams on implementation, ensure scalability, performance, security, and alignment with business requirements. Collaborate with stakeholders and provide technical leadership across projects.

Lead design and delivery of Generative AI solutions using Amazon Bedrock and orchestration frameworks. Build CI/CD pipelines, manage full-stack AWS infrastructure, ensure observability and AI governance, collaborate with stakeholders, apply Agile practices, mentor engineers, and integrate new AI innovations into production systems.

Design, develop, and deploy AWS cloud-native and serverless applications. Build Lambda-based APIs, microservices, and CI/CD pipelines; integrate with AWS services and third-party tools; implement monitoring, logging, and alerting; troubleshoot production issues; collaborate with customers and teams to meet technical requirements and improve architecture.

Build and maintain ETL pipelines into Snowflake using AWS services (S3, Glue, Lambda). Use orchestration (Control-M), CI/CD (Jenkins), and GitHub for deployments. Perform data analysis and support reporting (Tableau) and Postgres integrations.