About Amplience
We’re here to rid the world of bad shopping experiences.
It’s a bold aim, and one that needs both a dynamic team and a very different way of working.
That’s why we want people who can weave their unique skills, experience and character into a global team that learns, shares, grows and succeeds together.
Our people are all stewards of the business, helping us to win through care, commitment and conviction – and in return we open up a whole new world of flexibility around where, when and how you work.
It’s an exciting time to be part of Amplience. We have new leadership, new goals and new opportunities. So let’s find out where you fit in…
And if you’re still wondering what we actually do… Amplience is the AI Content company that brings together data, performance insights and generative AI. We help 400+ of the world’s biggest brands, from Liberty and Mulberry, to Argos and Crate & Barrel, deliver persuasive content for every shopping context, fueling truly personalised and connected experiences.
Location: Middlesbrough / Remote / Hybrid
Employment Type: Full Time
Salary range: £40k-£90k
Role Availability: Immediate
Typical Hiring Process:
- Culture, fit, ability to work interview (~30m Remote)
- Departmental interview (~45m remote)
- Optional cross team validation interview (~45m remote)
What to Expect
As a DevOps Architect / MLOps Architect, you will be pivotal in designing, implementing, and optimising our DevOps and MLOps strategies. You will work closely with cross-functional teams to streamline our software development processes, enhance automation, and drive organisational efficiency. Additionally, you will be responsible for architecting and maintaining a robust MLOps pipeline to support our machine learning initiatives.
Core responsibilities
Solution Architecture Support
- Collaborate with various teams as part of the architect group to design and implement solutions that meet business requirements.
- Provide architectural guidance and expertise to ensure solutions align with best practices and organisational goals.
Hands-On Engagement:
- Lead by example, demonstrating technical proficiency and contributing directly to team project deliverables as needed.
Line Management and Coaching:
- Manage a group of embedded DevOps engineers across teams, providing mentorship, coaching, and performance management to foster professional growth and development.
- Encourage a culture of continuous learning and knowledge sharing within the team
Driving Quality and Standards:
- Work with the architect group to identify opportunities to improve quality and work with teams to effect change.
- Promote quality assurance practices and tools to ensure deployed solutions' reliability, security, and performance.
Scaling ML Services:
- Help carve a path forward for deploying and operating ML services/workloads at scale.
- Stay current with the latest advancements and best practices in machine learning infrastructure, particularly within the AWS ecosystem.
Cost Management:
- Help teams track and manage cloud spending against budgetary constraints.
- Implement cost-effective solutions and strategies to optimise resource utilisation and expenses on AWS.
Skills, Knowledge and Experience
- Deep understanding of a wide range of AWS services, their applications and constraints.
- Infrastructure as code (IaC) using CDK/TypeScript/CloudFormation.
- CI/CD experience (GitHub actions).
- Networking principles and design patterns.
- Security best practices.
- Knowledge of observability tooling and patterns.
- High availability system design with SLAs/SLOs.
- Modern infrastructure design patterns, e.g. Serverless computing, Containerization, Gateways.
- Understanding of NoSQL databases, e.g. DynamoDB/MongoDB/Cassandra.
- 5+ years’ experience as a DevOps Engineer.
- 5+ years of experience working with AWS & Cloud.
- Experience working in a SaaS business is a plus.
About You
- Leadership: Ability to inspire and lead a team towards shared goals and foster collaboration.
- Communication: Strong communication skills to articulate technical concepts, facilitate discussions and foster alignment.
- Managing Priorities: Skill in prioritising tasks, managing workload efficiently and balancing competing demands.
- Problem-solving: Proficiency in analysing complex architectural problems and devising solutions that support business goals.
- Continuous improvement: Commitment to continuous learning and improvement, staying updated with industry trends and helping share knowledge with others.
- Risk Management: Skill in assessing risks and mitigating risks while applying pragmatism and balancing business goals.
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