Lead DevOps Engineer
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Key skills for this role
About the Role
Our partner is seeking a Lead DevOps Engineer to own a large-scale, high-traffic scraping platform. The role involves shaping cloud infrastructure, leading consolidation, optimizing cost and performance, and mentoring engineers.
Key Skills for This Role
Responsibilities
- Own and drive the end to end platform roadmap, identifying critical improvements, infrastructure gaps, and long term architectural priorities
- Lead the consolidation of multiple infrastructure stacks into a unified, scalable, and reliable platform with minimal operational disruption
- Design and optimize cloud infrastructure for performance, scalability, security, and cost efficiency across large scale distributed systems
- Implement robust monitoring, alerting, logging, and disaster recovery strategies to ensure system reliability and resilience
- Take ownership of infrastructure cost optimization, including high impact areas such as proxy and compute expenses
- Strengthen platform security posture by proactively addressing vulnerabilities and defending against evolving threats
- Collaborate closely with engineering teams, contributing to system design decisions and supporting development workflows
- Mentor engineers and help elevate overall platform engineering maturity, including tooling, processes, and best practices
Requirements
- 5+ years of experience in DevOps, Platform Engineering, or Infrastructure Engineering roles at scale
- Strong hands on expertise with Kubernetes, container orchestration, and large scale distributed systems
- Proven experience with Infrastructure as Code tools such as Terraform and building CI/CD pipelines
- Strong knowledge of cloud and hosting environments, ideally including DigitalOcean, Hetzner, or similar
- Experience with databases and data systems such as PostgreSQL, Redis, ClickHouse, and MongoDB is a plus
- Expertise in monitoring and observability tools (e.g., Datadog, New Relic, Prometheus, ELK stack)
- Demonstrated experience optimizing infrastructure costs and improving system performance in production
- Strong communication skills with ability to influence technical stakeholders in a fully remote, async first setup
- Proven hands on use of AI tools to deliver measurable engineering or operational improvements
- Experience mentoring or leading other engineers in a technical capacity
Full Job Posting
Position Overview
- This is a high impact opportunity for an experienced infrastructure leader to take ownership of a large scale, high traffic scraping platform operating at massive global scale.
- In this role, you will shape and drive the evolution of cloud infrastructure that processes billions of requests, ensuring reliability, security, and performance under extreme load.
- You will be responsible for defining the platform roadmap, optimizing complex distributed systems, and leading major infrastructure consolidation initiatives.
- Working in a fast moving, remote first engineering environment, you will collaborate closely with developers while also influencing architecture, cost efficiency, and operational excellence.
- The role combines hands on technical depth with strategic leadership, especially in areas such as Kubernetes, observability, and infrastructure automation.
Accountabilities
- Own and drive the end to end platform roadmap, identifying critical improvements, infrastructure gaps, and long term architectural priorities.
- Lead the consolidation of multiple infrastructure stacks into a unified, scalable, and reliable platform with minimal operational disruption.
- Design and optimize cloud infrastructure for performance, scalability, security, and cost efficiency across large scale distributed systems.
- Implement robust monitoring, alerting, logging, and disaster recovery strategies to ensure system reliability and resilience.
- Take ownership of infrastructure cost optimization, including high impact areas such as proxy and compute expenses, while maintaining performance and security.
- Strengthen platform security posture by proactively addressing vulnerabilities and defending against evolving threats and attack vectors.
- Collaborate closely with engineering teams, contributing to system design decisions and supporting development workflows, including AI related initiatives.
- Mentor engineers and help elevate overall platform engineering maturity, including tooling, processes, and best practices.
Requirements
- 5+ years of experience in DevOps, Platform Engineering, or Infrastructure Engineering roles at scale.
- Strong hands on expertise with Kubernetes, container orchestration, and large scale distributed systems.
- Proven experience with Infrastructure as Code tools such as Terraform and building CI/CD pipelines.
- Strong knowledge of cloud and hosting environments, ideally including DigitalOcean, Hetzner, or similar infrastructure providers.
- Experience with databases and data systems such as PostgreSQL, Redis, ClickHouse, and MongoDB is a plus.
- Expertise in monitoring and observability tools (e.g., Datadog, New Relic, Prometheus, ELK stack) with a strong sense of operational excellence.
- Demonstrated experience optimizing infrastructure costs and improving system performance in production environments.
- Strong communication skills with the ability to influence technical stakeholders in a fully remote, async first setup.
- Proven hands on use of AI tools to deliver measurable engineering or operational improvements.
- Experience mentoring or leading other engineers in a technical capacity.
Benefits
- Fully remote position with maximum flexibility in working location and hours.
- High autonomy and ownership in a trust based engineering culture.
- Opportunity to shape and lead infrastructure at massive scale with real business impact.
- Minimal bureaucracy and a strong focus on efficiency and engineering excellence.
- Collaborative, friendly, and globally distributed engineering team.
- Access to a wider SaaS engineering network for knowledge sharing and growth.
- Flexible time off to support rest and work life balance.
- Transparent, market aligned compensation shared prior to the interview process.
How Jobgether Works
- We use an AI powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
- Our system identifies the top fitting candidates, and this shortlist is then shared directly with the hiring company.
- The final decision and next steps (interviews, assessments) are managed by their internal team.
Data Privacy Notice
- By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer.
- This processing is based on legitimate interest and pre contractual measures under applicable data protection laws (including GDPR).
- You may exercise your rights (access, rectification, erasure, objection) at any time.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
- These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
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