Level

Deutsche Bank

Senior Airflow/ Cloud Engineer (Workload Automation)

Deutsche Bank is hiring a Senior Airflow/ Cloud Engineer (Workload Automation). Level rates it ; you can apply on Level.

AI in this role

Design and support centralized workload automation platforms using Airflow, Control-M, and Google Cloud services.

airflowcontrol-mautomicgoogle-cloud-composerpythonansibleservicenow
cloud-engineeringworkload-automationdevopsorchestration

Job Description:

Job Title Senior Airflow/ Cloud Engineer (Workload Automation)

Location Birmingham

Corporate Title Assistant Vice President

Service Automation provides an integrated set of management tools for IT professionals to programmatically provision and automate the operational maintenance of their hybrid application environment. It focuses on the following key capabilities:

Technology Operations Automation.

Provisioning and Configuration

Workload Automation

Orchestration Development

This software engineering position is specifically focused within Workload Automation and is responsible for availability, latency, performance, efficiency, change management, monitoring, automation, emergency response, and capacity planning for the centralized platforms of Control-M, Automic, Airflow as well as Google services Cloud Composer, Workflows and Scheduler which are utilized across the Bank for workload automation/job scheduling/batch job management.  This position will complement someone with a software engineering mindset, who is proficient coding with Python, has experience with API integration and orchestration, ServiceNow integration and Ansible yaml development to proactively build and implement services for Control-M, Automic and Google Cloud Composer automation.

Working as an engineer you will bridge the gap between development and operations.  Further, you will architect, design and develop new features as well as expand and support existing features. You are expected to learn new technologies based on what we already deploy while also learning new technologies that will enhance our offerings.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:  

  • Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
  • Competitive salary and non-contributory pension
  • 30 days’ holiday plus bank holidays, with the option to purchase additional days
  • Life Assurance and Private Healthcare for you and your family
  • A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
  • The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

Your Key Responsibilities

  • Develop solutions using Python, Kubernetes, Cloud services and API integrations
  • Build and orchestrate REST APIs across Airflow, Google Cloud Platform, Control-M and Automic
  • Drive the adoption of Infrastructure as Code (IaC) to automate provisioning, configuration, and management of infrastructure
  • Deliver secure, scalable user interfaces, backend services and REST APIs
  • Own features from design and coding through testing, deployment and production monitoring
  • Integrate, configure, upgrade and maintain critical workload automation platforms, and identify automation opportunities and deliver solutions independently

Your Skills and Experience

  • Experience with full stack development with strong Python
  • Extensive experience with automation and CI/CD tools such as Argos CD, GitHub Actions, GitLab, Ansible
  • Hands on experience in any Google Cloud Platform preferably GCP - Terraform, Cloud Composer, BigQuery, Dataflow, Cloud Functions, Dataproc, Google Transfer Service, Postgres
  • Understanding of Airflow rest services and integration of Airflow on a platform eco-system
  • Hands on experience in Google Cloud Platform using following GCP services  -  Terraform, Cloud Composer, BigQuery, Dataflow, Cloud Functions, Dataproc, Google Transfer Service, Postgres
  • 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
  • Flexible working to assist you balance your personal priorities
  • Coaching and support from experts in your team
  • A culture of continuous learning to aid progression
  • We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)

About us

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.

Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on adjustmentsconcierge@db.com to discuss.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

How we rate this

Senior Airflow/ Cloud Engineer (Workload Automation) at Deutsche Bank rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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 EngineeringWorkload AutomationDevopsOrchestrationAirflowControl MAutomicGoogle Cloud Composer

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 workload automation was part of your work. What did you do?
  3. Tell me about a project where devops was part of your work. What did you do?
  4. Tell me about a project where orchestration was part of your work. What did you do?
  5. Walk me through how you've used Airflow in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Cloud Engineering, Workload Automation, Devops, Orchestration, and Airflow. 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.

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