Level

Deutsche Bank

Customer Success Engineer – Cloud Engineering & Platform Enablement

AI in this role

Enable secure cloud adoption and platform engineering using infrastructure-as-code and AI-assisted engineering tools.

copilotterraformgithubgcp
cloud-engineeringdevopsinfrastructure-as-codecustomer-successplatform-engineering

Job Description:

Job Title: Customer Success Engineer – Cloud Engineering & Platform Enablement

Corporate Title: AVP

Location: Bangalore, India

Role Description

  • At DWS, we’re capturing the opportunities of tomorrow. You can be part of a leading, client-committed, global Asset Manager, making an impact on individuals, communities, and the world.

  • Join us on our journey, and you can shape our transformation by working side by side with industry thought leaders and gaining new and diverse perspectives. You can share ideas and be yourself, whilst driving innovative and sustainable solutions that influence markets and behaviours for the better.

  • As part of the Customer Success Engineering function within Core Technology & Transformation Horizontal, you will work closely with application and platform teams to simplify cloud onboarding, standardize infrastructure delivery, and enable secure adoption of DWS cloud capabilities. The role focuses on building reusable engineering patterns, improving developer experience, and helping teams consume cloud, DevOps, and AI-enabled delivery capabilities effectively.

  • Read more about DWS and who we are

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

  • Best in class leave policy.

  • Gender neutral parental leaves

  • 100% reimbursement under childcare assistance benefit (gender neutral)

  • Sponsorship for Industry relevant certifications and education

  • Employee Assistance Program for you and your family members

  • Comprehensive Hospitalization Insurance for you and your dependents

  • Accident and Term life Insurance

  • Complementary Health screening for 35 yrs. and above

Your key responsibilities

  • Act as a Customer Success Engineer for DWS application teams to accelerate secure cloud adoption, resolve blockers, and improve developer experience across the DWS Cloud Enclave.

  • Support onboarding, migration readiness, environment setup, productionisation, and platform consumption for cloud-based applications.

  • Build reusable cloud patterns, Terraform modules, GitHub workflows, templates, and self-service assets to simplify infrastructure delivery.

  • Provide hands-on support across GCP, automation, IAM, networking, observability, deployment workflows, and platform integration topics.

  • Embed SDLC, security, risk, and governance requirements into practical engineering and DevOps delivery patterns.

  • Leverage GitHub, infrastructure-as-code, and AI-assisted engineering tools to improve speed, quality, documentation, and troubleshooting.

  • Create knowledge base content, onboarding guides, FAQs, and examples to scale support across vertical teams.

  • Collaborate with platform, security, architecture, SDLC, and application teams to improve platform capabilities and standardise cloud adoption.

  • Contribute to future CSE initiatives including Cloud Champions, vertical capability uplift, self-service automation, and AI-enabled engineering productivity.

Your skills and experience

Must-have skills / experience

  • 4–8 years of experience in cloud engineering, DevOps, infrastructure automation, platform engineering, SRE, or application enablement roles.

  • Hands-on experience with infrastructure-as-code, preferably Terraform, including module usage, reusable patterns, code reviews, remote state, and environment-based configuration.

  • Working knowledge of at least one major cloud platform, preferably GCP, with understanding of core services across compute, containers, storage, IAM, networking, databases, monitoring, and deployment workflows.

  • Experience with GitHub or similar source control platforms, including pull requests, branching strategies, code review practices, repository structure, and CI/CD workflow integration.

  • Strong understanding of cloud and DevOps fundamentals, including automation, deployment pipelines, access control, environment management, troubleshooting, and operational readiness.

  • Ability to work directly with application teams to understand requirements, resolve blockers, guide onboarding, and support cloud/platform adoption.

  • Good communication and documentation skills, with the ability to explain technical topics clearly to distributed teams across India, Germany, and the UK.

  • Basic scripting or programming ability in one or more languages such as Python, Java, .NET, Go, or shell scripting.

Nice-to-have skills / exposure

  • Hands-on exposure to GCP services such as GKE, Cloud Run, Compute Engine, Cloud SQL, Cloud Storage, IAM, VPC, KMS, Cloud Build, Cloud Monitoring, or VPC Service Controls.

  • Experience building reusable engineering assets, such as Terraform modules, GitHub workflow templates, onboarding guides, reference implementations, or self-service automation.

  • Familiarity with enterprise SDLC, security, risk, and governance practices, especially in regulated environments such as banking, financial services, or asset management.

  • Exposure to developer experience or internal platform enablement initiatives, such as cloud onboarding, migration support, platform consumption, golden paths, or self-service journeys.

  • Interest in or exposure to AI-assisted engineering tools, such as GitHub Copilot or similar tools for coding, documentation, troubleshooting, or productivity improvement.

  • Experience with observability and operational readiness, including logging, monitoring, alerting, incident support, or productionisation practices.

Education / Certification

  • Relevant cloud, DevOps, or platform engineering certification is desirable, such as Google Cloud, Terraform, Kubernetes, GitHub, or CI/CD-related certifications.

  • Bachelor’s degree from an accredited college or university with a concentration in Science, Engineering, or an IT-related discipline (or equivalent).

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

  • Training and development to help you excel in your career.

  • Coaching and support from experts in your team.

  • A culture of continuous learning to aid progression.

  • A range of flexible benefits that you can tailor to suit your needs.

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

How we rate this

Customer Success Engineer – Cloud Engineering & Platform Enablement at Deutsche Bank rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Cloud EngineeringDevopsInfrastructure As CodeCustomer SuccessPlatform EngineeringCopilotTerraformGithub

Questions you could be asked

  1. Tell me about a project where cloud engineering was part of your work. What did you do?
  2. Tell me about a project where devops was part of your work. What did you do?
  3. Tell me about a project where infrastructure as code was part of your work. What did you do?
  4. Tell me about a project where customer success was part of your work. What did you do?
  5. Tell me about a project where platform engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Cloud Engineering, Devops, Infrastructure As Code, Customer Success, and Platform Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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