DV Cleared DevOps Engineer

Start Date: ASAP
Location: Hybrid | 2-3 days per week from an office in either Bristol or Gloucestershire.
Salary: £70k – £90k pa DOE

Vetting:Active DV Clearance is highly desirable

What our client can offer you – Health & Wellbeing:

Our client strives to provide their team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development:

Our client also invests in your career because the better you are, the better they all are. They have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Job Description:

This is a fantastic opportunity for a dynamic individual with big ambitions, who is an established technologist with both outstanding technical ability and consultative mindset. As an open-minded, personable self-starter who relishes the fluidity and collaborative nature of consultancy, you are comfortable working independently or as part of a team, effortlessly context-switching as required.

The Data DevOps Engineer role is all about the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems.

You will be joining the client to provide their clients with the optimal consultative service and experience, resulting in business outcomes that meet core client values and business requirements.

Extensive social benefits, flexible working hours, a competitive salary and shared values, make our client one of the world’s most attractive employers. Their goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities.

If you are looking for challenges in a fast-paced, thriving, international work environment, then we definitely want to hear from you!

As a Data DevOps Engineer, you will be responsible for:

• Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
• Providing technical thought-leadership and advising on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
• Engaging and collaborating with both internal and external teams and being a confident participant as well as a leader
• Assisting with solution improvement activities driven either by the project or service

To excel in this very technical role, you will need to have:

1. An organised and methodical approach
2. Excellent time-keeping and task prioritisation skills
3. An ability to provide clear and concise updates
4. An ability to convey technical concepts to all levels of audience
5. Technical implementation skills – application of industry best practices & design patterns
6. Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
7. Experience of working in hybrid environments with both classical delivery and DevOps

The following Technical skills & experience are required:

• Excellent knowledge of Linux operating system administration and implementation
• Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc.
• Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc.
• Observability – SRE
• Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem
• Excellent knowledge of YAML or similar languages

The following Technical Skills & Experience would be desirable:

• Jupyter Hub Awareness
• RabbitMQ or other common queue technology e.g. ActiveMQ
• NiFi
• Rego
• Familiarity with code development, shell-scripting in Python, Bash etc.