At a Glance
- Tasks: Join a cross-functional team to deliver and deploy applications for National Security projects.
- Company: Leading tech firm focused on defence, intelligence, and cyber sectors.
- Benefits: Generous pension scheme, life assurance, 25 days holiday, and flexible benefits.
- Other info: Hybrid working model with opportunities for career growth and development.
- Why this job: Make a real impact using cutting-edge tech in a secure environment.
- Qualifications: Experience in Agile/SCRUM/DevOps, cloud technologies, and automation tools required.
The predicted salary is between 60000 - 80000 £ per year.
You'll be joining an experienced software dev function, working in a cross-functional team, delivering and deploying applications and software to cloud or on-prem environments across National Security projects. The team deliver DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Due to the nature of work, and the sector this team is working in, we require all candidates to currently hold an active DV or eDV UK Security Clearance.
Skills and Experience:
- Experience of working in an Agile/SCRUM/DevOps delivery model
- Cloud technologies (AWS or Azure)
- Infrastructure as code e.g. Terraform, Puppet, Chef, Ansible etc.
- Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines
- Container platform and orchestration systems ECS, AKS, Kubernetes/helm/Docker
- Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents
- Experience in scripting languages and source control
Responsibilities:
- Building and setting up development tools and infrastructure
- Understand the needs of project stakeholders
- Automate and improve development and release processes
- Ensure that systems are safe and secure against cyber security threats
- Identify technical problems and develop software updates and solutions
- Work with other engineers to ensure that development follows established processes and works as intended
Benefits:
- Contributory Pension Scheme (up to 10.5% company contribution)
- 6 times salary 'Life Assurance' with pension
- 25 days holiday (increasing with service) statutory public holidays, plus opportunity to buy and sell up to 5 days
- Company bonus scheme (discretionary)
- Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others
- Enhanced sick pay
- Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
Senior DevOps Engineer (DV) in Hayden employer: Frontier Resourcing Ltd
Contact Detail:
Frontier Resourcing Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DevOps Engineer (DV) in Hayden
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving cloud technologies and automation tools. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Senior DevOps Engineer (DV) in Hayden
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior DevOps Engineer role. Highlight your experience with Agile, cloud technologies, and any relevant tools like Terraform or Jenkins. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background in DevSecOps can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building CI/CD pipelines or deploying applications, we want to know what you've done and how it relates to the work we do at StudySmarter.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Frontier Resourcing Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, like AWS, Azure, and tools like Terraform or Jenkins. Brush up on your knowledge of container orchestration systems like Kubernetes and Docker, as these are crucial for the role.
✨Showcase Your Agile Experience
Since the team works in an Agile/SCRUM environment, be prepared to discuss your previous experiences in such settings. Share examples of how you've contributed to Agile projects and how you’ve collaborated with cross-functional teams to deliver results.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios or technical problems during the interview. Think about how you would identify issues and develop solutions, especially in relation to cyber security threats, as this is a key aspect of the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team’s current projects, their approach to DevSecOps, and how they integrate AI and machine learning into their work. This shows your genuine interest and helps you assess if it’s the right fit for you.