- Lead and enable application onboarding to AWS, ensuring alignment with enterprise standards including CI/CD pipelines, Infrastructure as Code (CloudFormation and Terraform), security controls, and operational best practices.
- Partner with application teams to design, architect, and implement scalable, secure, and resilient cloud solutions.
- Drive adoption of platform engineering capabilities that simplify cloud onboarding, improve developer experience, and accelerate software delivery.
- Support modernization initiatives by migrating on-premises applications to AWS and integrating vendor-hosted applications and services with enterprise cloud platforms.
- Act as a Subject Matter Expert (SME) for AWS platform engineering, providing guidance on cloud-native architectures, deployment strategies, automation, networking, security, and operational excellence.
- Provide operational support for enterprise CI/CD platforms, ensuring high availability, stability, and reliability of deployment pipelines and automation services.
- Manage and maintain CI/CD platforms, including pipeline configurations, build agents/runners, artifact repositories, deployment frameworks, and release automation services.
- Troubleshoot complex build, deployment, and integration issues, performing root cause analysis and implementing preventive measures that improve platform resilience and reliability.
- Continuously optimize software delivery processes through automation, self-service capabilities, and reusable platform components.
- Monitor application health, platform performance, and capacity, proactively identifying and resolving issues before they impact application teams.
- Establish and promote SRE-inspired operational practices including reliability metrics, service health monitoring, incident management, and post-incident reviews.
- Evaluate and adopt emerging AI-assisted engineering capabilities to improve developer productivity and operational efficiency.
- Drive the adoption of Agentic AI solutions for platform operations, application onboarding, troubleshooting, documentation generation, and workflow automation.
- Identify opportunities to leverage AI-driven observability, incident analysis, and operational automation across the software development lifecycle.
- Provide technical leadership and mentorship to engineers while fostering a culture of collaboration, ownership, continuous learning, and operational excellence.
- Lead small project teams and coordinate the delivery of platform initiatives across globally distributed engineering organizations.
- Collaborate closely with application, DevOps, security, networking, cloud, and platform engineering teams to streamline software delivery and improve operational efficiency.
- Create and maintain technical documentation, knowledge articles, architecture patterns, and training materials while conducting knowledge-sharing sessions to improve engineering effectiveness and platform adoption.
- Platform Mindset – Building scalable, reusable self-service platforms that empower application teams.
- Customer Enablement – Passion for helping development teams succeed in the cloud.
- Technical Leadership – Ability to influence architecture decisions and guide engineering teams.
- Ownership & Accountability – Driving initiatives from concept through execution and support.
- Continuous Improvement – Relentless focus on automation, efficiency, reliability, and developer experience.
- Collaboration – Working effectively across global teams while building strong partnerships.
- Innovation – Leveraging cloud-native technologies, observability, and AI-driven engineering practices to deliver business value.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 7+ years of hands-on experience in AWS, cloud platform engineering, DevOps, or Site Reliability Engineering within enterprise environments.
- Experience leading small engineering teams, technical initiatives, or cross-functional projects.
Work Timings: 2 PM to 11 PM IST
- AWS core services (EC2, RDS, S3, IAM, VPC, Route 53, Lambda, ECS/EKS, CloudWatch, Systems Manager, etc.)
- CI/CD platforms and tools (Jenkins, Harness, GitHub Actions, GitLab CI, Ansible, or similar technologies)
- Infrastructure as Code (Terraform and CloudFormation)
- Application architecture and cloud-native design patterns
- Observability platforms including monitoring, logging, distributed tracing, and operational analytics (Grafana, Opensearch)
- AWS networking fundamentals including VPC design, routing, DNS, connectivity, load balancing, hybrid cloud integration, and network troubleshooting
- Experience onboarding and supporting large-scale enterprise applications on AWS.
- Experience migrating on-premises applications to public cloud platforms.
- Experience integrating third-party vendor applications and SaaS solutions into enterprise cloud environments.
- Experience implementing platform engineering, developer self-service, and internal developer platform practices.
- AWS Certifications such as Solutions Architect Professional, DevOps Engineer Professional, or Advanced Networking Specialty.
- Familiarity with AI-assisted engineering tools, Agentic AI capabilities, and automation frameworks.
- Excellent communication, stakeholder management, and technical leadership skills.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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