Accountabilities:

Lead the design, development, and operation of critical infrastructure components supporting engineering teams, including Kubernetes clusters, CI/CD pipelines, databases, edge infrastructure, and observability systems.
Drive the migration of on-premise workloads to Google Cloud Platform, particularly Google Kubernetes Engine (GKE), ensuring scalable, secure, and reliable cloud infrastructure.
Lead infrastructure modernization initiatives by consolidating legacy systems, simplifying the technology stack, and reducing operational overhead.
Design and maintain cloud infrastructure using Infrastructure as Code (IaC), applying best practices across GCP services, networking, identity and access management, encryption, and secrets management.
Develop and optimize CI/CD pipelines and GitOps workflows using tools such as FluxCD or ArgoCD to improve deployment efficiency, consistency, and reliability.
Strengthen infrastructure security, business continuity, disaster recovery, and operational resilience across the platform.
Develop internal developer platform capabilities and self-service infrastructure tooling that enable engineering teams to work more independently and efficiently.
Collaborate with Engineering Managers and product development leadership to understand internal customer needs, define platform requirements, and prioritize infrastructure initiatives.
Establish and maintain high engineering standards across the team, leading by example in code quality, infrastructure design, automation, documentation, and operational best practices.
Manage, mentor, and support a team of engineers through regular coaching, technical guidance, and knowledge-sharing initiatives.
Set clear team objectives using SMART goals, organize technical training sessions, conduct performance reviews, and provide continuous individual feedback.
Work closely with team members on technical implementation while encouraging professional development, accountability, and collaborative problem-solving.
Lead incident response activities, coordinate resolution efforts, and facilitate postmortems to identify root causes and prevent recurring issues.
Continuously evaluate infrastructure performance and operational practices, identifying opportunities to improve efficiency, scalability, and developer experience.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
At least 7 years of professional experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering.
Minimum 2 years of experience in a mentoring or leadership capacity, including at least 1 year formally leading a team or serving as a technical lead.
At least 3 years of hands-on experience operating Kubernetes workloads in production environments, preferably using Google Kubernetes Engine (GKE).
At least 3 years of experience working with a major cloud provider and Infrastructure as Code technologies.
Senior-level expertise in Google Cloud Platform (GCP), particularly IAM, networking, Key Management Service (KMS), GKE, Cloud SQL, and Secret Manager.
At least 3 years of experience operating at Senior, Staff, or Principal Engineer level, demonstrating strong technical ownership and architectural decision-making.
Proven experience designing, implementing, and maintaining CI/CD pipelines and modern software delivery workflows.
Practical experience with GitOps methodologies and tools such as FluxCD or ArgoCD.
Demonstrated ability to collaborate directly with engineering teams and management stakeholders to understand requirements, define priorities, and deliver platform solutions.
Experience leading incident response processes, including coordinating technical investigations, conducting postmortems, and implementing preventive measures.
Strong leadership, mentoring, and communication skills, with the ability to provide constructive feedback, develop team capabilities, and establish clear performance expectations.
Excellent problem-solving and organizational skills, combined with a proactive and hands-on approach to technical leadership.

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.

#LI-CL1