Project Engineering Manager overseeing engineering services on large - scale projects at AtkinsRéalis. Collaborating with cross - functional teams to deliver high - quality solutions exceeding client expectations.
About the role
- Engineering Manager at Atreides driving data ingestion and platform engineering for geospatial data solutions. Leading a team to optimize systems, ensuring quality and scalability in cloud infrastructure.
Responsibilities
- Lead, mentor, and coach data and platform engineers, providing technical guidance and career development.
- Maintain a steady, composed approach under pressure, guiding teams through ambiguity and technical complexity while staying focused on mission-critical outcomes.
- Build data processing systems to deliver actionable insights to end-users.
- Optimize data flows and streaming analytics to ensure fast, low-latency decision-making capabilities.
- Work with cloud platforms (AWS, GCP, Azure) to deploy and scale big data systems.
- Utilize containerization (e.g., Docker, Kubernetes) and cloud-native services to ensure flexible and scalable platform infrastructure.
- Partner with Infrastructure and Finance to manage cloud costs across AWS/Azure/GCP, balancing performance, scalability, and spend.
- Implement and govern cost monitoring, budget controls, and rightsizing strategies for compute, storage, and networking.
- Define, track, and socialize engineering KPIs (e.g., reliability, throughput, defect rates, incident metrics) to drive transparency and continuous improvement.
Requirements
- Proven experience managing remote teams, building career ladders, setting and tracking measurable goals, and creating strong engineering culture across multiple teams.
- Excellent verbal and written communication skills; able to drive clarity on complex technical topics and have direct conversations when needed.
- Willingness to support occasional travel and after-hours work when critical technical issues arise.
- Experience building and running platform capabilities used by multiple teams (e.g., ingestion frameworks, SDKs, workflow/orchestration, data contracts, schemas, observability, self-serve tooling).
- Strong foundation in distributed systems and production operations: scalability, backpressure, idempotency, retries, ordering, data consistency, and failure modes.
- 7+ years of professional software engineering experience, including 2+ years managing and developing engineers.
Benefits
- Competitive salary
- Comprehensive health, dental, and vision insurance plans
- Flexible hybrid work environment
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave
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