Fully Home Based (UK)

Help Build the Platform Behind the Next Generation of AI-Powered Quality Management

evaluagent helps contact centres evaluate 100% of customer interactions, assessing both human and AI agents at scale to improve quality, performance and customer experience.

As we continue to grow, we're investing in the infrastructure, automation and platform capabilities needed to support the next phase of our AI-powered product. As a DevOps Engineer, you'll help strengthen our cloud platform, improve scalability, resilience and observability, and contribute to the engineering foundations that will support future growth.

What You'll Be Doing

• Improving and automating our cloud infrastructure and deployment processes

• Building and enhancing CI/CD pipelines

• Supporting platform reliability, monitoring and performance

• Promoting Infrastructure as Code and DevOps best practices

• Working closely with developers to improve engineering workflows

• Identifying opportunities to simplify, automate and continuously improve

Learn more and view the full job description Here.

Our Technology

Our core technology stack includes:

• AWS

• Kubernetes (EKS)

• Terraform / OpenTofu

• GitHub Actions

• Jenkins

• New Relic

• MongoDB Atlas

We're investing heavily in our platform capability and are looking for someone who enjoys learning, improving systems and helping shape how our infrastructure evolves.

What We're Looking For

We're seeking a collaborative engineer who enjoys working as part of a team and takes pride in delivering reliable, scalable solutions.

You'll be someone who:

• Enjoys solving complex technical problems

• Proactively identifies opportunities to improve systems and processes

• Communicates effectively with both technical and non-technical colleagues

• Thrives in a remote, fast-paced environment

• Has a passion for learning and continuous improvement

Why Join Us?

We have a genuinely remote-first culture with no office requirement. Our team works from home across the UK and comes together through regular company meet-ups and collaborative events.

You'll join a collaborative engineering team that values automation, continuous improvement and pragmatic technical decision-making, with the opportunity to influence how we evolve our platform and DevOps practices.

Why This Role?

• Work with modern cloud-native technologies including AWS, Kubernetes and Terraform

• Support a growing AI-powered SaaS product

• Contribute to platform improvements and engineering practices

• Join a genuinely remote-first engineering team

• Be part of a business investing in technology for long-term growth

Alongside meaningful technical challenges, we offer:

• Fully remote, flexible working

• Private Health Insurance (Vitality)

• 25 days holiday + bank holidays + birthday off

• Work abroad for up to 6 weeks per year

• Learning & Development support and coaching

• Enhanced family leave and volunteer day

• Pension (5%), Life Insurance & Income Protection

• Home working allowance

• Quarterly company meet-ups

Important Information

Salary: In the region of £50,000

Location: Home based in the UK

Sponsorship: Unfortunately, we are unable to offer visa sponsorship for this position. Applicants must have the right to work in the UK.

If you're passionate about cloud technologies, automation and platform reliability, and want to help build the foundations that support a growing AI-powered product, we'd love to hear from you.

ED&I at Evaluagent

We are committed to employing the best people with the right experience for the role. We provide equal opportunities for all our candidates and team members and do not discriminate on any factors such as gender, race, ethnicity, age, sexual orientation, religion, belief, or disability. When applying, please let us know of any accessibility requirements you may have for your interviews and we will do our best to accommodate.

Application Closing Date

This role operates on a rolling interview process, meaning we will be conducting interviews until we extend an offer. As a result, candidates may progress through the interview stages at varying paces.