Senior DevOps – Platform Engineer

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Logo of OpenVPN Inc.

OpenVPN Inc.

51 - 200 employees

Founded 2002

🔒 Cybersecurity

☁️ SaaS

📡 Telecommunications

💰 Equity Crowdfunding on 2013-10

Cybersecurity • SaaS • Telecommunications

OpenVPN Inc. is a company that provides secure and flexible VPN solutions for remote access and network security. It offers both cloud-delivered and self-hosted solutions featuring private access, secure web access, and SaaS protection, allowing businesses to protect their hybrid workforce. OpenVPN's services support zero trust access and help reduce the attack surface by implementing security protocols like role-based access control and device identity checks. The company is trusted by nearly 20,000 customers worldwide, supports major cloud providers, and offers an easy-to-use and scalable solution for secure networking.

📋 Description

• Own the strategy, architecture, and operation of platform and release-engineering systems • Design and maintain scalable infrastructure using GCP, Cloud Run, infrastructure as code, and managed cloud services • Own CI across a six-repository cluster • Build and operate platform gates for trunk integration, merge readiness, regression testing, and production releases • Implement merge queues, GitHub rulesets, branch protections, required checks, and repository-level delivery policies • Design isolated, reproducible review, build, integration, and QA environments • Build release automation supporting progressive delivery, controlled rollouts, rapid rollback, and clear promotion criteria • Improve build performance, test reliability, caching, dependency management, and CI resource efficiency • Establish release observability and delivery metrics • Partner with engineers to improve testability, deployment safety, and operational readiness • Reduce manual intervention throughout the build, integration, and release lifecycle • Investigate CI, environment, and release failures, lead root-cause analysis, and implement corrective actions • Apply secure-by-default practices to credentials, permissions, artefacts, dependencies, environments, and deployment workflows • Define platform standards and documentation • Use AI agents and AI-enabled engineering tools to build, operate, troubleshoot, and improve platform systems • Evaluate AI-native approaches to release engineering, infrastructure management, testing, and operational automation

🎯 Requirements

• 6+ years of experience in Platform Engineering, Release Engineering, DevOps, SRE, Infrastructure Engineering, or a closely related role • Demonstrated experience independently owning a platform or release-engineering function • Strong production experience with Google Cloud Platform, particularly Cloud Run and related managed services • Deep experience designing and operating CI/CD systems using GitHub Actions • Strong knowledge of GitHub rulesets, branch protection, required checks, merge queues, and Git-based delivery workflows • Experience operating CI at scale across multiple repositories, services, or interdependent components • Proven experience building release automation and progressive-delivery workflows • Experience designing safe trunk-based development and continuous-delivery systems • Strong understanding of build pipelines, test orchestration, artefact management, environment promotion, and rollback strategies • Experience creating isolated preview, review, integration, or QA environments • Strong knowledge of infrastructure as code and automated cloud provisioning • Understanding of Linux, containers, networking, IAM, secrets management, and cloud security fundamentals • Experience improving CI reliability, performance, reproducibility, and cost efficiency • Ability to diagnose complex failures across source control, CI systems, cloud infrastructure, applications, and test environments • Proficiency in at least one scripting or programming language, such as Python, Bash, Go, or TypeScript • Strong written communication and ability to define technical standards, explain trade-offs, and drive adoption • Ability to work effectively with a Europe-based distributed team • AI-native fluency is a non-negotiable requirement • Comfortable using AI agents and tooling as a core part of normal engineering workflow • Optional experience with additional GCP services, Terraform or Pulumi, progressive-delivery techniques, monorepos, testing systems, ephemeral environments, supply-chain security, policy-as-code, observability tools, delivery metrics, developer platforms, AI coding agents, startups, mentoring, or cross-functional initiatives

🏖️ Benefits

• Competitive pay rates • Fully remote work environments • Self-managed time off • Competitive salary and comprehensive benefits • Autonomy to define platform strategy, standards, and technical direction • Opportunity to build foundational systems with immediate, measurable impact • Fast-moving, AI-native engineering environment • Direct collaboration with technical leadership and product engineers • Support to experiment, automate, and introduce better ways of working • Culture that values speed, ownership, sound judgement, and reliable delivery

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