Engineering Manager, Distributed Computing Platform

This is a fully remote position, open to applicants in Germany, +1 more country.

📋 Description

• Build, recruit, hire, and nurture a small, senior engineering team dedicated to workload orchestration.

• Define the architecture for headless execution and workload orchestration across workstations, on-prem HPC, and cloud environments.

• Make decisions regarding build, integration, or partnerships for proprietary systems.

• Write production-quality code, review pull requests, and engage in architectural decision-making as a player-coach.

• Lead the integration efforts with HEEDS, ModelCenter, PhysicsX Flux, and cloud-native job services.

• Deliver the headless pipeline encompassing job definition, submission, monitoring, failure management, and results collection.

• Collaborate with the Product Manager to translate product strategy into actionable engineering plans.

• Provide technical insights on feasibility, sequencing, and risk assessment; propose alternatives and challenge unrealistic plans.

• Work closely with customer engineering and IT teams to design systems suited for constrained environments.

• Report directly to the CTO and ensure initial architecture aligns with the CTO's vision.

• Establish engineering practices, including CI/CD, testing, incident response, and deployment protocols.

⛳️ Requirements

• 7+ years of software engineering experience, with at least 3+ years in managing engineering teams; experience in building and deploying distributed systems or infrastructure software.

• Hands-on expertise in Docker, Kubernetes, and at least one cloud platform (AWS, GCP, or Azure).

• Profound understanding of job scheduling and compute-intensive workloads at scale.

• Experience deploying solutions in customer-managed environments—on-prem, hybrid, or air-gapped.

• Proven track record in team building: recruiting, developing talent, and making difficult performance decisions.

• Strong collaboration abilities with PMs, designers, and field engineers; capable of evaluating customer value beyond mere technical elegance.

• Preferred: Background in HPC, scientific computing, or engineering simulation (e.g., Slurm, PBS, HEEDS, ModelCenter, OpenMDAO).

• Preferred: Experience developing for clients with ITAR/EAR obligations or stringent IT governance.

• Preferred: Familiarity with transitions to consumption-based pricing models.

• Preferred: Proficiency in reading and reasoning about C++ codebases.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible work arrangements and remote work options.

• Opportunities for professional development and career advancement.

• Comprehensive health, dental, and vision insurance.

• Generous vacation and paid time off policies.