At a Glance
- Tasks: Lead an agile team to develop bespoke applications and manage the full technical stack.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Great career progression in a vibrant workplace that embraces new technologies.
- Why this job: Make a real impact by combining DevOps with AI in a dynamic environment.
- Qualifications: Experience in leading teams and delivering cloud solutions using Agile/DevOps methodologies.
The predicted salary is between 60000 - 75000 £ per year.
KEY ROLES AND RESPONSIBILITIES
SCOPE
- Manage an agile software development team comprising engineers, analysts, and QA specialists to deliver in‑house bespoke applications for internal users, clients and partners.
- Own the full technical stack, including backend, frontend, APIs and databases, ensuring alignment with enterprise architecture and security standards.
- Act as the primary point of accountability for technical direction, team capability and roadmap execution.
- Engage with stakeholders across the business to manage expectations, dependencies and critical decisions.
DELIVERY
- Oversee design and agile delivery of cloud‑based DevOps projects, ensuring proactive collaboration with stakeholders and adherence to agreed schedules.
- Maintain high‑level monitoring, reporting and governance of project portfolios in partnership with PMO.
- Produce and maintain clear, achievable plans and roadmaps, managing scope, resources, risks and impacts of change.
- Ensure operational monitoring and alerting for the DevOps tech stack, applying InfoSec best practices including vulnerability patching and penetration testing.
- Contribute actively to health and safety, environmental, business continuity and information security arrangements to meet ISO obligations.
- Combine traditional DevOps practices with AI‑enabled development workflows to improve speed, consistency and developer productivity.
- Support the team in embedding AI‑first engineering practices into everyday delivery.
- Maintain governance and oversight of AI usage in development, ensuring compliance with data security and organisational standards.
ROLE EXPERTISE
- Proven experience leading software development teams and delivering cloud‑based solutions in Agile/DevOps environments (Scrum, Kanban).
- Expertise in source code version control (e.g., Git), backlog management tools (e.g., Jira, Azure DevOps) and CI/CD automation (e.g., Jenkins, CircleCI).
- Strong knowledge of public cloud platforms (AWS, Azure, GCP) and full‑stack development including frontend, backend, APIs and databases.
- Skilled in planning, stakeholder management and driving delivery across complex projects.
- Comprehensive understanding of software development lifecycle, security, scalability and stability in cloud environments.
AI‑ASSISTED ENGINEERING & DEVELOPMENT
- Act as a hands‑on contributor to the codebase, using modern programming languages, frameworks and development tools.
- Leverage AI‑assisted coding tools (e.g., code generation, copilots, test generation, documentation automation) to accelerate delivery and improve quality.
- Define and promote best practices for AI‑assisted development, ensuring safe, secure and effective usage across the team.
- Drive adoption of AI tooling across the software development lifecycle, including:
- Design and prototyping
- Code development
- Testing and QA automation
- Documentation and knowledge sharing
- Ensure AI‑generated outputs meet engineering standards, security requirements and enterprise architecture principles.
- Continuously assess emerging AI development capabilities and incorporate them into the DevOps toolchain where appropriate.
KNOWLEDGE, SKILLS AND EXPERIENCE
- Experience running software development teams and architecting cloud‑based solutions.
- Proficiency in Agile/DevOps methodologies and tools (Scrum, Kanban, Git, Jira/Azure DevOps).
- Experience with CI/CD automation tools and public cloud platforms.
- Strong technical knowledge across full stack development and security best practices.
- Demonstrated leadership, stakeholder management and communication skills.
- Experience with AI‑assisted development tools (e.g., Cursor, GitHub Copilot, code generation platforms).
- Understanding of prompt engineering, AI limitations and code validation practices.
- Experience integrating AI tooling into CI/CD or DevOps pipelines.
- Aware of secure and responsible AI usage in software engineering.
QUALIFICATIONS
- Degree in Software Engineering, Computer Science, Computer Systems, Electrical/Electronic Engineering.
IT DevOps Lead in Theale employer: Cornerstone
As an IT DevOps Lead at our company, you will thrive in a dynamic and innovative work environment that prioritises collaboration and professional growth. We offer competitive benefits, a strong commitment to employee development, and the opportunity to work with cutting-edge technologies, including AI-assisted engineering practices. Our inclusive culture fosters creativity and encourages team members to take ownership of their projects, making it an ideal place for those seeking meaningful and rewarding employment.
We think you need these skills to ace IT DevOps Lead in Theale
Agile Methodologies
DevOps Practices
Cloud-Based Solutions
Full-Stack Development
Source Code Version Control (Git)
Backlog Management Tools (Jira, Azure DevOps)
CI/CD Automation (Jenkins, CircleCI)
