Engineering Manager (Distributed P2P Systems)

Pragmatike; Polska; A distancia; PLN 524.000 - 699.000; Jornada completa

Descripción de la vacante

Pragmatike is seeking an experienced Engineering Manager to lead a team building distributed systems powering a decentralized compute and storage platform.

You will guide architecture, drive execution, and stay hands-on with critical systems while fostering an async, writing-first culture for a remote European team.

Formación

• 7+ years in software engineering with leadership experience.
• Proven track record shipping distributed systems to production.
• Strong backend and systems programming capabilities.
• Experience with P2P, DHTs, and related protocols.
• Remote and async collaboration skills.

Responsabilidades

• Lead and grow a high-performing distributed systems team.
• Direct technical direction of core P2P and platform systems.
• Stay hands-on with architecture and implementation.
• Oversee high-throughput protocols like peer discovery and replication.
• Manage compute orchestration, scaling, and workload distribution.
• Champion reliability, observability, and production readiness.
• Institute testing, CI/CD, releases, and incident response practices.
• Collaborate with Infrastructure, Product, Security, and Platform teams.
• Conduct 1:1s, performance reviews, and career development.
• Translate priorities into clear execution plans and outcomes.

Conocimientos

Distributed systems

Technical leadership

Go

C/C++/Rust

Kubernetes

Linux networking

CI/CD

SRE/Observability

Herramientas

libp2p

gRPC

Protobuf

IPFS/CIDs

OpenTelemetry

Prometheus

Grafana

Terraform

Descripción del empleo

Location: Remote, Europe Time Zone

Start Date: ASAP

Employment Type: Full-Time

Team: Core Compute & Distributed Systems

Language: English

About the Role

We are looking for an experienced Engineering Manager to lead a team building the distributed systems that power a decentralized compute and storage platform.

You will lead a team of senior engineers working on P2P networking, distributed storage, compute orchestration, and core platform services . You'll combine people leadership with strong technical ownership, helping shape architecture, guide execution, and stay hands-on with critical systems and production code.

This is a great opportunity for a technical engineering leader who enjoys working close to complex distributed systems, making pragmatic architectural decisions, and building a strong engineering culture in an async, writing-first environment.

What You'll Do

• 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

What We're Looking For

• 7+ years of software engineering experience , with 3+ years in an Engineering Manager or technical leadership role
• Proven experience leading teams building and shipping distributed systems or infrastructure software to production
• Strong understanding of P2P and distributed systems , such as peer discovery, DHTs, gossip protocols, NAT traversal, replication, consensus, or content-addressed 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
• Familiarity with technologies such as 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
• 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
• Excellent written and verbal communication skills, with the ability to work effectively in a remote and async environment

Nice to Have

• 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
• 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
• Experience with infrastructure-as-code such as Terraform, Pulumi, or similar tools
• Experience working with decentralized, blockchain, Web3, or other P2P architectures

Why This Role Matters

Shape a distributed platform from the core: Influence the architecture of the systems that power decentralized compute and storage

Lead a strong technical team: Mentor senior engineers and build an environment where engineers can do their best work

Stay hands-on: Continue solving complex technical problems while growing as an engineering leader

Work on genuinely distributed infrastructure: Tackle challenges around networking, replication, resilience, data distribution, and compute at scale

Influence architecture: Make meaningful technical decisions rather than simply managing delivery

Work across the platform: Collaborate with Infrastructure, Security, Product, Backend teams

Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture

How We Work

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