Cloud Engineer – AWS, DevOps & AI Platforms, AVP
RBS Bengaluru, Karnataka, India
Banking · 1 employee
About the role
You will engineer and maintain secure, scalable cloud platforms and support AI/GenAI workloads within a feature team. This involves managing the full software development life cycle, from requirements analysis and design to deployment and operational support.
What they look for
Requirements
Candidates must have a minimum of eight years of experience in AWS cloud engineering, infrastructure automation, and DevOps practices. Strong proficiency in Python, Terraform, and container orchestration tools like Kubernetes is required.
Full description
Join us as a Software Engineer
- This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
- Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority
- It’s a chance to hone your existing technical skills and advance your career
- We're offering this role at associate vice president level
What you'll do
In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.
You’ll also be:
- Producing complex and critical software rapidly and of high quality which adds value to the business
- Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
- Collaborating to optimise our software engineering capability
- Designing, producing, testing and implementing our working code
- Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations
The skills you'll need
You’ll need minimum eight years expereince in AWS cloud engineering, infrastructure automation, and DevOps practices. The ideal candidate should have hands-on experience building and operating secure, scalable cloud platforms and supporting AI/GenAI workloads in production environments.
You’ll also need:
- Strong experience in Cloud Engineering, DevOps, or Platform Engineering
- Strong hands-on expertise with AWS services, networking, security, and architecture design
- Experience with Terraform and CloudFormation for infrastructure provisioning and management
- Proficiency in Python scripting, automation, and AWS SDKs (Boto3)
- Experience with Docker, Kubernetes (EKS/ECS), and CI/CD pipelines
- Knowledge of CloudWatch, CloudTrail, logging, monitoring, and operational support
- Understanding of security best practices, IAM, encryption, and platform governance
Hours
45
Job Posting Closing Date:
15/09/2026
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