Senior Airflow/Cloud Engineer; Automation
Listed on 2026-10-12
-
Software Development
Data Engineering
Job :R0441573 Full/Part-Time: Full-time
Regular/Temporary: Regular Listed:
Location: Birmingham
Position OverviewLocation Birmingham
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
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, Service Now 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 youA 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 Bike4
Work scheme and Gym benefits - The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year
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
- Experience with full stack development with strong Python
- Extensive experience with automation and CI/CD tools such as Argos CD, Git Hub Actions, Git Lab, Ansible
- Hands on experience in any Google Cloud Platform preferably GCP
- Terraform, Cloud Composer, Big Query, 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, Big Query, Dataflow, Cloud Functions,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).