Top AWS Jobs in Pune

Design, develop, test, and deploy secure, scalable Java backend services, APIs, and microservices using Spring Boot. Collaborate with product managers, architects, and engineers to deliver technical solutions, participate in code reviews, troubleshoot production issues, and perform root-cause analysis. Integrate relational and NoSQL databases, implement unit testing and coding best practices, and work with Agile, CI/CD, and DevOps practices. Support legacy-platform migration and modernization initiatives.

Develop, test, and deploy scalable Java backend services, REST APIs, and microservices using Spring Boot. Collaborate with product, architecture, and engineering teams; integrate relational and NoSQL databases; participate in code reviews and unit testing; troubleshoot production issues; and support Agile delivery, CI/CD, DevOps practices, and legacy-platform modernization.

Design, develop, test, and deploy secure Java backend services, APIs, and scalable microservices using Spring Boot. Collaborate with product and engineering teams, integrate relational and NoSQL databases, participate in code reviews, troubleshoot production issues, and support legacy-platform modernization. Apply unit testing, Agile delivery, CI/CD, DevOps, secure coding, and continuous improvement practices.

The posting provides no specific responsibilities, qualifications, compensation, location, travel, or clearance details. The title indicates a Generative AI engineering role focused on AWS technologies.

Develop scalable, high-throughput software solutions for Barclays by analyzing business requirements, designing services and processes, collaborating with stakeholders, and supporting delivery and change management. Build Java and Spring Boot microservices using REST APIs, Kafka, SQL Server, cloud platforms, containers, and CI/CD. Contribute to architecture, observability, risk controls, root-cause analysis, and continuous service improvement while guiding stakeholders and team members.

Leads end-to-end enterprise network and infrastructure architecture across data centers, campus, WAN, wireless, and cloud. Owns HLDs, LLDs, reference architectures, modernization programs, governance, design reviews, risk mitigation, and multi-OEM technology decisions. Serves as a senior technical authority during delivery, supports pre-sales, presents to executives, and mentors engineering teams.

Designs, develops, tests, and improves scalable Java full-stack applications using microservices and RESTful APIs. Collaborates with product managers, designers, and engineers; participates in code reviews; applies secure coding and unit testing practices; and contributes to software architecture, simplification, and continuous improvement. The role also guides technical direction, advises stakeholders, manages risks and controls, and may lead teams or mentor less experienced specialists.

Leads the design, development, and delivery of scalable Java and React software solutions at Barclays. The role involves managing engineering teams or providing technical leadership, collaborating with product and design teams, guiding architecture and delivery, ensuring secure coding and testing practices, managing risks and controls, and advising senior stakeholders. Responsibilities also include resource and budget planning, regulatory compliance, continuous improvement, and supporting strategic technology initiatives.

Provide production support for critical banking technology infrastructure, rapidly resolve incidents, participate in major incident management, and improve application-support efficiency. The role involves Linux/Unix administration, Java and database technologies, middleware, microservices, containers, cloud platforms, monitoring, scheduling, CI/CD, and messaging tools. Responsibilities also include stakeholder communication, risk and control management, technical issue resolution, operational support during shifts and releases, and occasional weekend coverage.

Designs and executes functional, regression, performance, and security tests for SaaS PLM and QMS software. The role develops test cases and automation scripts, maintains testing frameworks, collaborates with product and engineering teams on feature releases, and advocates for software quality throughout the SDLC and STLC.

Perform manual and automated testing across web, mobile, APIs, and databases. Design test plans and reusable automation frameworks, validate functionality and data, manage defects, analyze failures, and execute regression suites through CI/CD pipelines. Collaborate with Agile development, product, business analysis, and DevOps teams throughout the SDLC. Use programming, SQL, reporting, version control, and AI-assisted tools to support reliable software releases.

Designs and operates observability infrastructure for internal platforms and business-critical applications. Responsibilities include implementing metrics, logs, traces, dashboards, service maps, SLOs, alerting, anomaly detection, and automated remediation. Partners with incident and problem management teams to reduce MTTR, improve root-cause analysis, and strengthen reliability. Integrates monitoring with CI/CD, ITSM, CMDB, collaboration, and feature-flag systems while coaching teams on instrumentation, telemetry governance, security, and cost optimization.

Supports production systems by monitoring Sentry and CloudWatch, triaging alerts, following runbooks, documenting incidents, escalating issues, and assisting with ECS, Batch, Lambda, database, backup, deployment, and maintenance checks. The intern will write basic Python scripts, analyze logs, support shift handoffs, and learn production support practices through mentorship.

Leads the architecture, design, coding, testing, deployment, and production readiness of scalable Accounting-domain technology solutions. Provides hands-on technical leadership across Java, Spring Boot, microservices, cloud-native platforms, databases, DevOps, and AI-assisted engineering. Mentors engineers, partners with business stakeholders and architects, drives engineering excellence, improves reliability and performance, and owns end-to-end technology delivery.

Design and develop a scalable automated securities finance platform using Java, Spring, microservices, distributed systems, containers, SQL, AWS, messaging, and caching technologies. Build enterprise applications, optimize high-volume transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

As a Senior PostgreSQL SRE, you'll ensure reliability and performance while leading SRE practices, automating operations, and collaborating with cross-functional teams to address business objectives.

Develop and lead secure, scalable full-stack software for banking and enterprise applications. Build Java and Spring Boot microservices, REST APIs, workflow orchestration, event-driven integrations, and modern web interfaces. Design cloud-native infrastructure, CI/CD pipelines, resilient distributed systems, and blockchain solutions using Hyperledger Besu, smart contracts, and enterprise DLT. Collaborate with product, architecture, security, QA, and DevOps teams while mentoring engineers, leading technical design, and supporting regulated production environments.

Leads engineering teams and drives the design, development, integration, and delivery of secure, scalable full-stack systems for banking environments. Responsibilities include Java backend and modern frontend development, workflow orchestration, event-driven architecture, cloud infrastructure, CI/CD, blockchain and smart contract integration, technical design, code reviews, mentoring, risk management, and stakeholder collaboration. The role focuses on enterprise digital asset, tokenization, settlement, and distributed ledger platforms while ensuring resilience, compliance, security, and operational excellence.

Owns reliability, observability, incident response, and ITIL-based incident, problem, and change management for enterprise SaaS systems. Configures Datadog and Dynatrace monitoring, dashboards, alerts, logging, tracing, and metrics; triages incidents and major outages; performs root-cause analysis; maintains runbooks and known-error documentation; governs changes; and supports SaaS integrations, APIs, data pipelines, and operational automation.

Develop and maintain scalable, secure full-stack software solutions using Java, Spring, REST/SOAP services, databases, and modern frontend technologies. Collaborate with product managers, designers, and engineers, participate in code reviews, implement unit and integration testing, and support cloud deployment using AWS, Docker, Kubernetes, CI/CD, and infrastructure-as-code. The role also involves secure coding, Agile delivery, technical problem-solving, stakeholder communication, and continuous improvement.

Lead the architecture and development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and AI lifecycle capabilities. Drive security, governance, observability, reliability, performance, and cost optimization while translating R&D concepts into production systems. Provide hands-on technical leadership, architecture reviews, mentorship, and cross-functional collaboration.

Lead the architecture and hands-on development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and ML lifecycle capabilities. Establish standards for security, governance, testing, CI/CD, observability, reliability, and cost optimization while providing technical leadership, mentoring, architecture reviews, and cross-functional collaboration.

Develop large-scale data science products using structured and unstructured data. Responsibilities include designing optimization and forecasting algorithms, implementing end-to-end data science solutions, applying machine learning and deep learning methods, and developing user profiling, pattern detection, predictive modeling, recommender system, and classification or regression models. The role requires statistical expertise, programming, data preprocessing, and experience with AWS cloud engineering.

Build and maintain scalable data platforms, pipelines, data warehouses, data lakes, and real-time processing systems. Develop Kafka, Flink, and Spring-based applications; parse financial message formats; transform data into Avro schemas; integrate source systems; and implement testing, logging, security, and governance. Collaborate with data scientists and cross-functional teams, participate in Scrum and code reviews, troubleshoot production issues, and guide teams on complex data engineering assignments.

Design, build, and maintain production-quality full-stack software, APIs, backend services, automation, cloud-native applications, integrations, and CI/CD pipelines. Develop AI-enabled solutions using LLMs, RAG, and agentic workflows. Apply strong practices in testing, observability, security, reliability, and maintainability while contributing to technical design and solving ambiguous engineering problems.