Accountabilities:

Lead and manage platform engineering teams, ensuring timely delivery of platform initiatives and operational commitments.

Collaborate with engineering teams and stakeholders to understand needs, define project requirements, and prioritize work in alignment with business objectives.

Oversee the technical design and architecture of the compute platform, including container orchestration, autoscaling, and deployment tooling.

Establish and promote infrastructure engineering best practices, including code reviews, testing, infrastructure as code, and safe, progressive rollouts.

Mentor and coach engineers, support their professional development, manage team performance, and provide regular feedback through performance reviews.

Monitor project progress, remove obstacles, and maintain momentum across team initiatives.

Foster cross-functional collaboration and ensure platform priorities support broader business goals.

Own platform reliability through service level objectives (SLOs), monitoring, alerting, and effective operational practices.

Lead incident response for platform issues, facilitate blameless postmortems, and ensure corrective actions are completed.

Maintain a healthy and sustainable on-call rotation across a distributed team.

Plan infrastructure capacity to support business growth and manage cloud expenditure in partnership with finance, including budgeting and forecasting.

Keep the platform secure and up to date through version upgrades, patching, and security guardrails.

Balance support requests, maintenance activities, and roadmap priorities to ensure the team delivers on its commitments.

Identify opportunities to improve operational processes and tools, while staying current with industry trends and emerging technologies.

Requirements

At least 7 years of experience in infrastructure engineering, platform engineering, or site reliability engineering.

At least 4 years of experience in people leadership or engineering management.

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Strong understanding of software development methodologies and processes, including Agile, Scrum, and Kanban.

Hands-on experience operating Kubernetes in production environments at scale, such as Amazon EKS.

Deep experience with AWS, particularly compute services, networking, and identity and access management.

Practical experience with infrastructure as code and GitOps tools, such as Terraform, Terragrunt, and ArgoCD.

Experience with Git or other version control systems and CI/CD platforms such as GitLab CI.

Familiarity with observability and monitoring platforms, such as Datadog.

Proficiency in scripting and automation languages, including Python, Go, or Bash.

Experience managing on-call rotations and leading production incident response.

Proven ability to deliver complex infrastructure projects on time and within scope.

Strong technical aptitude combined with effective project and people management skills.

Ability to work strategically and adapt to a fast-growing, agile environment.

Demonstrated success in building teams and cultures that encourage autonomy, innovation, collaboration, and productivity.

Excellent written and verbal communication skills, with the ability to work effectively with different audiences.

Ability to remain calm and organized under pressure and guide teams through production incidents.

Experience treating an internal platform as a product, with a focus on developer experience.

Familiarity with the runtime behavior of large Ruby on Rails applications is an advantage.

An updated resume translated into English is required for consideration.

Benefits

Monthly compensation starting at USD 8,500, under a B2B contract. This is the stated starting amount; the posting does not specify whether additional variable compensation is available.

Paid holidays and flexible, take-it-as-you-need-it scheduled time off.

A MacBook provided and configured from the first day.

A USD 500 workspace stipend to help create a comfortable and productive home-office setup.

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.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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.

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