Overview
In this role you will lead a team of engineers to shape technical direction and deliver modern AWS-native platforms. You will foster psychological safety, continuous improvement, and pragmatic AI adoption while staying close to hands-on engineering work. You’ll align with product and architecture to set strategy, balance feature delivery with platform health, and help teams scale with best practices. This is a chance to influence both people and technology in a high-trust, high-performance culture.
Pay / Benefits
- competitive compensation
- incentive and bonus plans
- total rewards emphasizing well-being
- Altus Intelligence Academy with extensive learning content
- Activity-Based Work flexible model
- inclusive and accessible workplace
Responsibilities
- Lead, grow and support inclusive engineering teams
- Hire and onboard new team members; conduct 1:1s, coaching and development plans
- Maintain understanding of team strengths and future needs
- Support engineers and partners using Agile and Lean practices
- Shape technical strategy and delivery plans with Product and Architecture
- Guide AWS-native and cloud-based platform development; manage legacy systems
- Uphold engineering standards: code quality, testing, CI/CD, observability, documentation
- Stay close to design reviews, architecture discussions, and hands-on coaching
- Balance feature delivery with tech debt, reliability, security, and long-term health
- Remove blockers and risks to enable predictable, sustainable delivery
- Lead AI tooling adoption to improve developer productivity and software quality
- Promote operational excellence in delivery commitments and metrics
- Improve developer experience and on-call practices
- Promote cost awareness across AWS environments
- Collaborate with other Engineering Managers through Communities of Practice
Key requirements
- Strong software engineering background with years in technical leadership and people management
- Experience building and scaling high-performing engineering teams
- Delivery experience with customer-facing web applications
- Agile experience with continuous improvement mindset
- Experience leading change across technology, process or ways of working
- Hands-on experience with AI/ML tools within engineering teams
- Cloud-native architecture knowledge, AWS, distributed systems
- Proficiency in at least one modern programming language
- Strong understanding of system design and software engineering fundamentals
- Experience with Infrastructure as Code, CI/CD, observability and secure production systems
- Ability to communicate technical ideas to technical and non-technical stakeholders
- Empathy and coaching
- Strong communication and stakeholder management
- Collaborative and high-trust mindset
- AWS and cloud-native architectures
- Distributed systems fundamentals
- Modern programming language proficiency
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