Top AWS Jobs in Pune

Develop and lead end-to-end software solutions for securitized products and mortgage financing platforms. Build scalable REST APIs and microservices using Java and Spring Boot, implement cloud-native infrastructure, and support CI/CD, testing, security, and database integration. Collaborate with product managers, designers, engineers, and senior stakeholders to define requirements and technical strategy. Guide technical direction, manage risks and controls, contribute to continuous improvement, and potentially lead team members.

Provide L1/L2 production support for financial applications, including incident triage, application and batch monitoring, troubleshooting, root-cause analysis, release support, and cloud application operations. Monitor alerts, job schedules, databases, APIs, and infrastructure; coordinate escalations and stakeholder communications; support deployments, disaster recovery, audits, and continuous service improvement. The role includes on-call, night, weekend, and 24x7 rotational support.

Provides 24x7 L1/L2 production support for wealth management applications. Responsibilities include application, API, batch, and infrastructure monitoring; incident triage; log analysis; troubleshooting; smoke testing; deployment validation; job scheduling; SQL-based data updates; root-cause analysis; documentation; disaster recovery exercises; stakeholder communication; and escalation to development, infrastructure, and database teams. The role requires occasional night, weekend, and on-call support.

Designs, experiments with, deploys, monitors, and evaluates machine learning models. Requires full-stack development involving Python, React, AWS, APIs, and SQL, along with statistical and probabilistic foundations. The role supports AI/ML initiatives in a consulting environment serving financial services and energy clients.

Design, deploy, configure, and operate GCP infrastructure at scale using Terraform and GitLab CI/CD. Develop testing strategies and automated scripts, troubleshoot cloud environments, analyze defects, and collaborate with cross-functional teams to improve software quality, security, reliability, and operational controls. The role also contributes to cloud governance, risk mitigation, code reviews, and technical leadership.

Lead the operation and improvement of enterprise AI security platforms. Responsibilities include enforcing AI security policies, discovering and managing AI assets across AWS, Azure, and GCP, integrating AI red-team testing into CI/CD, managing vendors and platform roadmaps, tuning performance, supporting AI incident response, and maintaining security documentation and metrics.

Design, develop and deliver scalable, secure software solutions for the Mortgages domain. Collaborate with product, design and engineering teams, conduct code reviews, implement unit and BDD tests, use data processing tools for high-performance data applications, and provide technical leadership or manage teams to drive strategy, risk controls and continuous improvement.

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.

Leads architecture, design, implementation, coding, testing, reviews, and release activities for high-quality accounting technology solutions. Defines scalable cloud-native architectures, establishes engineering standards, mentors developers, and communicates technical concepts to stakeholders. Requires deep full-stack Java expertise, distributed systems knowledge, cloud and container experience, CI/CD proficiency, messaging and streaming capabilities, SRE practices, and experience designing large-scale systems.

Design, build, test, document, and deploy cross-platform tools, frameworks, and services for large-scale product data ecosystems. Lead technical discussions, improve platform reliability and scalability, develop reusable components, optimize performance, and collaborate with engineering teams and users. The role also involves desktop application development, automated testing, CI/CD, distributed version control, and data architecture.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

Design, build, and scale cloud-native data and BI solutions on Databricks and Snowflake. Develop high-performance data pipelines, enable multi-cloud interoperability (AWS/Azure), implement governance and secure access patterns, maintain CI/CD and infrastructure-as-code for platform provisioning, and lead technical design while mentoring engineers.

Leads the design, implementation, and delivery of scalable technology solutions within the Accounting domain. Responsibilities include architecture, hands-on Java development, code reviews, testing, release activities, technical standards, mentoring engineers, and stakeholder communication. The role requires expertise in cloud-native architecture, distributed systems, data processing, CI/CD, Kubernetes, messaging, public cloud, SRE, and quality engineering practices.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Delivers master data management and technology consulting solutions across the project lifecycle. Translates business requirements into technical designs, develops and tests MDM solutions, leads task planning and team coordination, manages project deliverables, supports client communications, and mentors junior team members. The role requires collaboration across global teams, data analysis and quality expertise, SQL, MDM platforms, cloud awareness, problem-solving, and willingness to travel for client or internal engagements.

Lead the design, operation, and standardization of global cloud infrastructure across AWS, Azure, and GCP. Own large-scale Kubernetes platforms, service mesh, GitOps, infrastructure as code, CI/CD, observability, security, compliance, and on-call excellence. Drive multi-account AWS architecture, mentor engineers, influence cross-functional technical direction, and develop AI-assisted and agentic operational automation using tools such as Amazon Bedrock.

Lead architecture, design, and implementation of scalable, multi-tenant SaaS and enterprise products. Drive cross-product initiatives, mentor teams, define cloud strategy, produce high-quality code, and influence product requirements, testing, and deployment practices.

Designs and maintains cloud infrastructure using infrastructure-as-code, builds CI/CD pipelines, and improves reliability, scalability, security, monitoring, and deployment workflows. Troubleshoots infrastructure incidents, drives automation, manages observability tools, and contributes to DevOps standards and operational playbooks across cloud environments.

Leads development and operation of scalable AI and machine learning systems, including cloud deployment infrastructure, prompt engineering, LLM guardrails, and responsible AI practices. Mentors AI engineers, establishes technical standards, conducts code reviews and interviews, and partners with data engineering, product, and business teams to deliver AI solutions. The role also includes application integration and troubleshooting using middleware platforms such as TIBCO and IBM WebSphere.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Supports Db2 LUW databases for multiple clients, including environment design, installations, upgrades, patching, migrations, troubleshooting, security, backup and recovery, performance tuning, and high-availability management. The role collaborates with clients and global DBA teams, supports projects and 24x7 incidents, develops automation and documentation, resolves complex issues, and mentors junior administrators. Rotating shifts and on-call participation are required.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Leads end-to-end data strategy, architecture, cloud platform, integration, governance, and AI/ML solution delivery across clinical and regulatory R&D. Manages client relationships, business development, proposals, account growth, executive communications, and consulting teams. Designs pharmaceutical data models and pipelines using AWS, Databricks, Snowflake, and Python while ensuring GxP and regulatory compliance. Develops team capabilities, oversees staffing and performance, and translates technical strategies into business outcomes for life sciences clients.

Lead development of high-performance Java backend services for Mastercard’s fraud decision-management platform. Responsibilities include system design, production development, code and security reviews, CI/CD and cloud-native delivery, production support, SDLC documentation, vendor and offshore coordination, technical training, mentoring, and Agile SAFe participation. The role also drives engineering standards, technology evaluations, performance benchmarking, deployment planning, and secure coding practices.

Leads software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.