Staff/Principal Platform Engineer – Infrastructure

Job not on LinkedIn

🕒 April 17

🇪🇺 Europe – Remote

⏳ Contract/Temporary

🔴 Lead

🏗️ Platform Engineer

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of P2P Labs & P2P Tech Services

P2P Labs & P2P Tech Services

11 - 50 employees

Founded 2022

₿ Crypto

💸 Finance

🤝 B2B

Crypto • Finance • B2B

P2P Labs & P2P Tech Services is a leading provider of non-custodial staking infrastructure and technology tailored for intermediaries such as Web3 wallets, exchanges, and custodians. Founded in 2018, the company offers users the ability to stake cryptocurrencies like Ethereum and Bitcoin effortlessly, without needing to run their own nodes. P2P Labs delivers services that include staking APIs, data analytics, and solutions to enhance the staking experience across multiple proof-of-stake networks.

📋 Description

• Own the architecture and evolution of P2P.org's internal developer platform—Kubernetes, monitoring, secrets management, and delivery infrastructure. You are responsible for how these systems scale, interconnect, and evolve across 60+ blockchain networks. • Design and build scalable, fault-tolerant platform components—including capacity planning, multi-tenancy, networking topology, and storage architecture. Make and document architectural trade-offs clearly. • Write production code in Go and/or Python — platform tooling, services, operators, and APIs. This is a hands-on engineering role, not just configuration. • Build self-service infrastructure that teams consume with minimal friction — Terraform modules, Helm charts, reusable pipeline templates, and platform APIs. Champion our versioned module library and automated security propagation via Renovate. • Scale our Kubernetes platform across bare-metal and cloud, and evolve the observability stack (Victoria Metrics, Prometheus, Grafana, Loki) and delivery platform (ArgoCD, CI/CD pipelines). • Own the security posture of the platform — secrets management, access controls, identity federation, network policies, and encryption at rest and in transit. • Maintain SOC 2 Type II compliance across platform infrastructure — implement controls as code, maintain audit readiness, and work with compliance teams to close gaps proactively. • Enforce container and supply chain security — image scanning, signed artifacts, base image management, and vulnerability remediation. Apply zero-trust principles: least-privilege roles, short-lived credentials, auditable access. Harden Kubernetes workloads through pod security standards, network policies, RBAC, and runtime monitoring. • Use AI tooling as a core part of how you work and champion its adoption across the infrastructure team and wider engineering organization—in code generation, code review, incident response, documentation, and operational automation. • Build or integrate AI-assisted tooling into platform workflows where it delivers genuine improvement. Help define how we measure the impact of AI adoption across engineering. • Lead the technical direction for the infrastructure team—set architectural standards, drive best practices, and reduce technical debt. • Collaborate cross-functionally with SRE, blockchain, engineering, data, and security teams. Translate their needs into platform capabilities. • Mentor and grow engineers through code reviews, architectural guidance, design reviews, and knowledge sharing. • Contribute to incident response and post-incident reviews, driving platform reliability improvements.

🎯 Requirements

• 8+ years of experience in infrastructure, SRE, or platform engineering, with at least 3 years in a senior or staff-level role owning system architecture and technical direction. • Strong software engineering skills in Go and/or Python — you write production-quality code, not just scripts. You design, build, test, and ship platform services and tooling. • Proven ability to architect large-scale distributed systems—capacity planning, fault-tolerance patterns, system decomposition, and the ability to articulate trade-offs clearly. • Deep Kubernetes expertise — managed (GKE, EKS) and bare-metal/hybrid clusters, including networking, storage, multi-tenancy, and cluster lifecycle management. • Strong Terraform experience — reusable module libraries, state management at scale, and infrastructure lifecycle automation. • Experience with at least one major cloud provider (GCP, OCI, AWS, or Azure) plus bare-metal infrastructure. • Hands-on experience with observability (Prometheus, VictoriaMetrics, Grafana, Loki, OpenTelemetry, or equivalent) and delivery tooling (ArgoCD, Helm, CI/CD pipelines). • Strong Linux systems and networking fundamentals (DNS, load balancing, firewalls, VPN, BGP). • Infrastructure security experience — container security, supply chain security, network policies, zero-trust access patterns, and compliance (SOC 2 Type II or similar). • Active use of AI tooling in your engineering workflow, with experience driving adoption across a team. • A track record of building self-service platform capabilities that other teams actually adopt. • Strong written and verbal communication — technical proposals, architectural decisions, and cross-team collaboration across distributed teams. English B2 minimum.

🏖️ Benefits

• Competitive salary level in $ (we can also pay in crypto) • Paid vacation and sick leave • Well-being program • Mental Health care program • Compensation for education, including foreign language & professional growth courses • Equipment & co-working reimbursement program • Overseas conferences, community immersion

Apply Now