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For Companies At a Glance
- Tasks: Lead and inspire engineering teams while shaping technical direction and driving innovation.
- Company: Join Altus Group, a forward-thinking tech company focused on cloud-native solutions.
- Benefits: Enjoy competitive pay, flexible work options, and extensive professional development opportunities.
- Why this job: Make a real impact by leading teams in adopting AI and improving software quality.
- Qualifications: Experience in software engineering and team leadership is essential.
- Other info: Be part of a diverse and inclusive culture that values your unique contributions.
The predicted salary is between 48000 - 84000 £ per year.
Altus Group is building modern, AWS-native platforms used globally, and we’re looking for a Technical Engineering Manager who enjoys leading people, shaping technical direction, and staying close to real engineering work. This role sits at the intersection of technology, delivery and people leadership. You’ll lead a team of talented engineers, help them do their best work, and create an environment where psychological safety, continuous improvement and thoughtful adoption of AI are the norm, not just buzzwords. If you care deeply about engineering quality, healthy teams and pragmatic innovation, we’d love to hear from you.
Key Responsibilities
- Leading people and teams
- Lead, grow and support inclusive engineering teams
- Create a high-trust, psychologically safe environment where people feel supported and accountable
- Hire and onboard new team members, help engineers grow through regular 1:1s, feedback, coaching and clear development plans; and handle performance conversations when needed, with empathy and clarity
- Maintain a clear understanding of team strengths, skills and future needs
- Support engineers and partners in working effectively using Agile and Lean practices
- Technical leadership & delivery
- Work closely with Product and Architecture to shape technical strategy and delivery plans
- Guide teams building and evolving AWS-native and cloud-based platforms, alongside legacy systems
- Set and uphold strong engineering standards across code quality, testing, CI/CD, observability and documentation
- Stay close to technical decisions through design reviews, architecture discussions and hands-on coaching
- Balance new feature delivery with technical debt, reliability, security and long-term platform health
- Remove blockers and risks so teams can deliver predictably and sustainably
- AI adoption & innovation
- Lead the practical use of AI tools to improve developer productivity and software quality
- Encourage thoughtful experimentation with LLMs and emerging AI technologies where they add real value
- Identify opportunities to embed AI capabilities into products and internal platforms
- Share learnings and outcomes so teams understand what’s working and why
- Operational excellence
- Take ownership of delivery commitments and help teams plan work realistically
- Use a small, meaningful set of metrics to improve transparency and decision-making
- Continuously improve developer experience
- Support healthy on-call practices, retrospectives and post-incident reviews
- Promote cost awareness and efficiency across AWS environments
- Collaborate with other Engineering Managers through Communities of Practice
Key qualifications
You don’t need to meet every requirement to apply. If this role excites you and you bring most of the experience below, we encourage you to apply.
- Experience
- Strong background in software engineering, with several years in technical leadership and people management
- Experience building and scaling high-performing engineering teams
- Delivery experience with customer-facing web applications
- Comfortable working in Agile environments with a continuous improvement mindset
- Experience leading change across technology, process or ways of working
- Hands-on experience using or introducing AI or ML tools within engineering teams
- Technical foundations
- Solid understanding of cloud-native architecture, AWS and distributed systems
- Proficiency in at least one modern programming language
- Strong grasp of system design and software engineering fundamentals
- Experience with Infrastructure as Code, CI/CD, observability and secure production systems
- Able to communicate technical ideas clearly to both technical and non-technical stakeholders
Unlock your Altus Experience
If you’re looking to advance your career in an industry that is transitioning for greatness, there’s no better place than Altus Group. Our high trust, high performance culture prioritises progressive programs that empower you to deliver your greatest performance while promoting collective success where everyone is recognised and connected. We offer boundless opportunities in a rapidly growing global business: mentorship from the best and brightest in CRE, access to our Altus Intelligence Academy, and the chance to work with the best data sets, tools and technology in the industry.
What Altus Group offers
- Rewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritising mental, physical, and financial well-being.
- Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.
- Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work — use the office for collaboration and remote work for focused tasks.
Inclusivity & Accessibility
Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We provide an atmosphere free from barriers to promote diversity, equity, and inclusion, and encourage equal opportunities for all employees. We’re seeking candidates with diverse experiences and provide accessible candidate experiences throughout the selection process. If you need accommodation, please contact us at accessibility@altusgroup.com or +1 888 692 7487.
Use of Artificial Intelligence
AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional.
Background Checks
Please note that as part of our commitment to maintaining a safe and secure workplace, Altus Group may conduct background checks on candidates who receive a conditional offer of employment. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history (where relevant), and reference checks. The scope and nature of background checks may vary depending on the role, location, and applicable laws. All background checks will be conducted in compliance with local laws and regulations, and candidates will be informed of any checks required as part of the recruitment process.
Other Notes / Application Process
We appreciate all applicants; however, only those selected to move forward will be contacted. Thank you for your interest in Altus Group.
Technical Engineering Manager (AWS, Cloud-Native, AI-Enabled) employer: Reonomy
Contact Detail:
Reonomy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Engineering Manager (AWS, Cloud-Native, AI-Enabled)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to technical leadership and team management. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your passion for AI and cloud-native technologies during interviews. Share specific examples of how you've implemented these in past roles, and be ready to discuss your vision for their future use in engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Altus Group.
We think you need these skills to ace Technical Engineering Manager (AWS, Cloud-Native, AI-Enabled)
Some tips for your application 🫡
Show Your Passion for Engineering: When writing your application, let your enthusiasm for engineering shine through! Share specific examples of how you've led teams or tackled technical challenges. We want to see your genuine interest in shaping the future of technology.
Tailor Your Application: Make sure to customise your application to highlight your experience with AWS and cloud-native platforms. Mention any relevant projects or roles that align with our job description. This helps us see how you fit into our vision!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to understand your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Reonomy
✨Know Your Tech Inside Out
Make sure you have a solid grasp of cloud-native architecture, AWS, and distributed systems. Brush up on your programming skills and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Style
Prepare examples that highlight your experience in leading and growing engineering teams. Talk about how you've created a psychologically safe environment and supported team members through coaching and feedback.
✨Emphasise Agile Experience
Since the role involves working in Agile environments, be ready to discuss your experience with Agile methodologies. Share specific instances where you've led change or improved processes within your teams.
✨Be Ready for AI Discussions
Given the focus on AI adoption, think about how you've used AI tools in your previous roles. Be prepared to discuss practical applications and any innovative ideas you have for embedding AI into products or internal platforms.
