Pragmatike - Engineering Manager (Distributed P2P Systems)
Requirements
• 7+ years of software engineering experience, with 3+ years in an Engineering Manager or technical leadership role • 7+ years of software engineering experience • 3+ years in an Engineering Manager or technical leadership role • Proven experience leading teams building and shipping distributed systems or infrastructure software to production • distributed systems or infrastructure software • Strong understanding of P2P and distributed systems, such as peer discovery, DHTs, gossip protocols, NAT traversal, replication, consensus, or content-addressed systems • P2P and distributed systems • Strong backend and systems programming experience, ideally with Go, or alternatively C/C++ or Rust • Solid understanding of concurrency, networking, distributed communication, and fault-tolerant system design • Experience with compute orchestration, distributed storage, distributed databases, or platform infrastructure • compute orchestration, distributed storage, distributed databases, or platform infrastructure • Familiarity with technologies such as libp2p, gRPC, Protobuf, IPFS/CIDs, Kubernetes, or containerized infrastructure • libp2p, gRPC, Protobuf, IPFS/CIDs, Kubernetes, or containerized infrastructure • Experience with observability and production operations, including tools such as Prometheus, Grafana, OpenTelemetry, or distributed tracing • Prometheus, Grafana, OpenTelemetry, or distributed tracing • Strong understanding of Linux systems and networking fundamentals • Experience establishing engineering standards around automated testing, CI/CD, release processes, and incident management • Strong technical judgment and the ability to balance hands-on engineering, people leadership, and strategic decision-making • hands-on engineering, people leadership, and strategic decision-making • Excellent written and verbal communication skills, with the ability to work effectively in a remote and async environment • Experience with distributed storage, object storage, distributed filesystems, or data integrity systems • Knowledge of S3 APIs, NFS, FUSE, POSIX semantics, block storage, or storage engines • S3 APIs, NFS, FUSE, POSIX semantics, block storage, or storage engines • Experience with erasure coding, sharding, garbage collection, or large-scale data migration • Experience managing multi-cloud, bare-metal, or geographically distributed infrastructure • Familiarity with GPU infrastructure, distributed AI compute, model serving, or inference routing • GPU infrastructure, distributed AI compute, model serving, or inference routing • Experience with infrastructure-as-code such as Terraform, Pulumi, or similar tools • Experience working with decentralized, blockchain, Web3, or other P2P architectures
Responsibilities
• Lead, mentor, and grow a high-performing team of distributed systems and backend engineers • Drive the technical direction and execution of core P2P, compute, and distributed platform systems • Stay hands-on with architecture, design, implementation, and technical problem-solving • Guide the development of high-throughput distributed protocols, including peer discovery, communication, replication, and data distribution • Oversee systems responsible for compute orchestration, provisioning, scaling, and workload distribution • Champion reliability, resilience, observability, and production readiness across the platform • Establish strong engineering practices around testing, CI/CD, releases, incident response, and root-cause analysis • Work closely with Infrastructure, Product, Security, and Platform teams on roadmaps, priorities, and cross-team dependencies • Run effective 1:1s, retrospectives, performance reviews, and career development conversations • Translate technical and business priorities into clear execution plans and measurable outcomes • Foster a culture of ownership, technical excellence, pragmatic decision-making, and continuous improvement
Benefits
• Shape a distributed platform from the core: Influence the architecture of the systems that power decentralized compute and storage • Shape a distributed platform from the core: • Lead a strong technical team: Mentor senior engineers and build an environment where engineers can do their best work • Lead a strong technical team: • Stay hands-on: Continue solving complex technical problems while growing as an engineering leader • Stay hands-on: • Work on genuinely distributed infrastructure: Tackle challenges around networking, replication, resilience, data distribution, and compute at scale • Work on genuinely distributed infrastructure: • Influence architecture: Make meaningful technical decisions rather than simply managing delivery • Influence architecture: • Work across the platform: Collaborate with Infrastructure, Security, Product, and Backend teams • Work across the platform: • Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture • Remote-first and async: • How We Work • We favor clear written communication, focused deep work, and pragmatic engineering over unnecessary meetings and synchronization. • clear written communication, focused deep work, and pragmatic engineering • Our engineering culture emphasizes: • RFCs and well-documented technical decisions • High automated test coverage and rigorous production validation • Pragmatic, maintainable code • Strong observability and operational ownership • Regular production releases • Continuous improvement through retrospectives and post-incident reviews
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