Top AWS Jobs in Pune

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

Manage L2 production incidents across AWS and on-prem, perform RCA, drive permanent fixes, automate repetitive tasks with scripting, improve monitoring and observability, maintain runbooks, support Linux/Windows servers, and participate in 24x7 on-call rotations to improve uptime and reduce MTTR.

Provides senior-level administration, engineering, automation, and support for enterprise Windows Server environments across on-premises and cloud platforms. Responsibilities include L3 escalation, Active Directory and infrastructure management, Terraform-based deployments, Azure and AWS support, virtualization, patching, security hardening, disaster recovery, performance optimization, incident management, and troubleshooting. The role also leads modernization initiatives, mentors junior engineers, develops documentation, and participates in 24x7 on-call support.

Lead enterprise Salesforce architecture across multi-cloud, AI, Agentforce, MCP, Data Cloud, MuleSoft, Health Cloud, and Revenue Cloud ecosystems. Govern platform strategy, security, scalability, AI development standards, observability, and technical debt. Lead pre-sales engagements, executive presentations, RFPs, and solution design for healthcare and high-tech clients. Mentor technical teams and define compliant integrations with EHR, ERP, data, and AI platforms.

Build and deliver production-grade AI-native and cloud-native solutions, including backend microservices, API integrations, GenAI features, agentic workflows, and intelligent automation. Responsibilities include testing, code reviews, troubleshooting, technical debt reduction, cloud deployment, client technical consulting, proof-of-concept support, mentoring junior engineers, and contributing to engineering frameworks and architecture discussions.

Analyze large structured and unstructured datasets, build and evaluate machine learning and statistical models, perform EDA and hypothesis testing, create visualizations and dashboards, collaborate with product and business teams, and document and improve analytical solutions to drive business decisions.

Monitor and investigate security events across cloud, applications, infrastructure, and endpoints. Manage SIEM, SOAR, EDR, CSPM, and vulnerability-management activities; improve detections, alerts, playbooks, and automation; coordinate incident response; gather evidence for audits; and collaborate with technical, legal, privacy, and compliance teams. The role requires rotating 24/7 shifts, incident coordination, documentation, stakeholder communication, and continuous security-process improvement.

Hybrid QA Engineer responsible for manual and automated testing of web, Android, and iOS casino games. Duties include designing and maintaining automated tests, API and performance testing, defect tracking, test strategy development, quality process improvement, code and design reviews, CI/CD integration, release quality gates, documentation, and mentoring QA team members. Requires strong Python automation experience, web and mobile testing expertise, database knowledge, Docker, Agile experience, and UK timezone overlap.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Owns end-to-end delivery of scalable software solutions, from architecture translation and hands-on full-stack development through testing, integration, deployment, and production support. Develops cloud-based applications, integrates data sources, evaluates technical feasibility, provides estimates, supports Agile delivery, mitigates technical risks, and contributes technical leadership through documentation, prototypes, and innovation initiatives. Requires advanced frontend and backend development experience, particularly with JavaScript, Angular, Node.js, REST APIs, Linux, and AWS.

Drive adoption of Databricks Genie across a regional territory through technical strategy, executive engagement, workshops, presentations, demos, and customer-facing collateral. Partner with Account Executives, GTM, Product, Engineering, GSIs, and consulting firms. Architect governed analytics solutions spanning semantic models, warehouses, metric layers, Lakehouse, and AI ecosystems; address governance and security concerns; resolve complex technical escalations; and provide roadmap feedback.

Designs and implements end-to-end generative AI and LLM solutions, researches emerging AI techniques, develops supporting libraries and frameworks, and participates in software delivery from design through maintenance. The role applies NLP, computer vision, audio, and multimodal AI methods; uses cloud and open-source platforms; contributes to code reviews and roadmaps; and collaborates with cross-functional teams.

Provides strategic, operational, governance, workforce, financial, and administrative support to senior leaders while driving technology and organizational change. The role leads data engineering delivery using Ab Initio, AWS, Hadoop, SQL, Python, DBT, and Databricks, developing scalable data integration and transformation solutions. Responsibilities include risk and compliance oversight, stakeholder coordination, process improvement, resource planning, Agile delivery, and support for business continuity and strategic initiatives.

Develop and improve software applications through systems analysis, coding, testing, documentation, code reviews, and reliability enhancements. The role includes identifying risks, supporting Agile delivery, participating in on-call rotations, mentoring junior engineers, delegating work, contributing to hiring, and collaborating across product and engineering teams to deliver stable, high-quality releases.

Lead engineering for Barclays’ Markets Sales Technology platforms, designing and delivering scalable, resilient cloud-native applications. Responsibilities include developing microservices, APIs, event-driven solutions, and AWS-based systems; building CI/CD automation; improving testing, observability, security, performance, and operational stability; assessing risk, capacity, and cost; supporting governance; and collaborating with product, architecture, data, infrastructure, and business stakeholders. The role also provides technical leadership, strategic guidance, stakeholder influence, and coaching.

Lead the architecture, design, development, deployment, and maintenance of scalable backend systems, distributed services, and mission-critical REST and GraphQL APIs. Provide hands-on technical guidance, mentor engineers, establish coding standards, oversee code quality, and drive end-to-end delivery. Design asynchronous pipelines, microservices, database solutions, cloud deployments, CI/CD processes, observability, and secure cloud-native architectures on AWS.

Supports enterprise cybersecurity operations, security engineering, incident investigations, security control deployment, compliance initiatives, monitoring, and risk reduction. The role assists with endpoint, identity, email, cloud, and application security, analyzes logs and forensic artifacts, supports tabletop exercises, and collaborates with infrastructure, service desk, cloud, engineering, and Fortive teams.

Design, automate, deploy, and maintain infrastructure services with a focus on Splunk, Terraform, and AWS. Drive automation, security/compliance, availability improvements, documentation, cross-team collaboration, and support multiple concurrent engineering projects.

Generate outbound demand for ANZ accounts through research, email, phone, and LinkedIn prospecting. Book qualified meetings and event attendees, support opportunity development, prepare client pitches, assist with RFPs and proposals, maintain CRM records, and accelerate pipeline follow-up. The role also supports partner events and requires ongoing learning about Fractal’s data and AI capabilities while working ANZ-aligned hours from Bengaluru.

Develop and maintain full-stack applications using Java, Spring Boot, REST, database technologies, and modern front-end frameworks. Work on greenfield engineering initiatives, AWS cloud solutions, asynchronous processing, WebSockets, authentication, CI/CD pipelines, testing, and UI interoperability. Apply engineering best practices including code reviews and branching strategies, while collaborating through Jira, Confluence, Git, Maven, and Jenkins. Blockchain experience and AWS certification are advantageous.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.

Build the company’s QA practice and automation strategy from scratch. Design scalable automated testing for React Native mobile apps, APIs, and web applications; integrate tests into CI/CD; perform functional, exploratory, regression, performance, accessibility, security, and visual testing; manage defects, quality metrics, release criteria, and sign-off; and improve test coverage, reliability, and execution speed.

Build, test, deploy, and maintain production automations using n8n, custom code, AI models, APIs, and PostgreSQL pipelines. Identify high-value automation opportunities, integrate unfamiliar systems, validate data integrity, manage CI/CD, monitor reliability and cost, respond to incidents, and resolve recurring failures. Collaborate with stakeholders and audit teams on security, compliance, and process quality while researching emerging automation and AI technologies.