Senior Airflow​/Cloud Engineer; Automation

This job is with Deutsche Bank, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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, 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 Bike4
  
  Work scheme and Gym benefits
• The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

Your Key Responsibilities

• Demonstrate a wide range of technological expertise including Airflow, Google Cloud Platform, Control-M or Automic and a general understanding of industry practice around REST based API orchestration
• Be an active, contributing engineer for the integration of Apache Airflow into the IT landscape by technically and organisationally helping to drive the adoption
• Design and implementation of new concepts for improvement or replacement of existing processes, especially from Control-M or Automic towards Airflow or Google Could Composer
• Integration, configuration, upgrade, maintenance and introduction of new capabilities to our critical Workload Automation products responsible for batch scheduling and API orchestration
• Being able to design concepts and take over development activities, identify automation opportunities as well as solutions in a self-reliant manner
• Sound and relevant Airflow or Workload Automation architecture experience is a must

Your Skills and Experience

• Experience with Workload automation tooling, preferably Apache Airflow, Control-M and/or Google Cloud Composer using standard agile SDLC techniques
• Experience in developing guidelines for Airflow clusters and DAG's, working knowledge of performance tuning of the DAG's and task implementation, developing DAG - data pipeline to on‑board and change management of datasets
• Experience with installing, configuring and monitoring Airflow cluster, strong Python
• Understanding of Airflow rest services and integration of Airflow ON A platform eco‑system
• Hands on experience in Google…