Job Description :

Role & Responsibilities :

- 10 - 16 years of progressive software engineering experience, with at least 3 - 4 years in an engineering management role leading teams of 10 or more engineers.

- Strong programming expertise in one or more of Go, Rust, or Python, with the technical depth to conduct meaningful architecture and code reviews, and to make sound build-versus-buy decisions.

- Deep experience designing, building, and operating large-scale distributed systems particularly compute orchestration, job scheduling, container platforms, or infrastructure comparable in complexity to Kubernetes, Borg, Mesos, or similar systems.

- Proven track record in platform engineering or software infrastructure - building the foundational systems that other engineers and researchers depend on for development, build, deployment, and production operations.

- Strong background in compute-heavy or high-performance computing environments, with working knowledge across the infrastructure stack (compute, storage, networking, GPUs).

- Experience defining and operating against service-level objectives (SLOs) and service-level agreements (SLAs) for mission-critical infrastructure.

- Track record of hiring, mentoring, and developing engineers - building cohesive teams that consistently deliver reliable infrastructure in production.

- Expertise with relational databases (PostgreSQL, MySQL) and distributed data systems (Kafka, ZooKeeper) in production environments.

- Observability and reliability mindset: hands-on experience establishing monitoring, alerting, tracing, on-call rotations, and incident-response practices (Prometheus, OpenTelemetry, or similar).

- Security-conscious approach to infrastructure: familiarity with Linux system hardening, access controls, network segmentation, and compliance-aware development practices.

- Strong problem-solving and critical-thinking abilities, with a bias for action and a track record of making pragmatic decisions under ambiguity.

Set the technical direction and architectural standards for the teams portfolio of infrastructure systems, spanning:

- 1. Compute orchestration and scheduling (job schedulers, service managers, container platforms)

- 2. Environment and package management (Nix/Flox ecosystem, reproducible builds)

- 3. GPU compute and high-performance computing (CUDA, MPI, performance tuning)

- 4. Distributed storage (parallel file systems, SAN, network-attached storage)

- 5. Networking infrastructure (multicast, core routing, low-latency network engineering)

- 6. Linux platform engineering (kernel, eBPF, system performance, provisioning)

- 7. Virtualization, cloud infrastructure (GCP), and hybrid compute environments

- 8. SDLC tooling, CI/CD, and developer productivity infrastructure

- Lead architecture reviews and design discussions; ensure systems are built for reliability, performance, security, and operability at scale.