Platform Engineering Lead (Remote) - job 2 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Platform Engineering Lead in California (USA).

We are seeking an experienced Platform Engineering Lead to define, architect, and evolve a cutting-edge internal development platform (IDP) that empowers developers to focus on building core business solutions. This role offers the opportunity to lead a cross-functional team, implement best-in-class cloud-native practices, and drive the adoption of Platform Engineering principles with a product-focused mindset. The ideal candidate will enhance developer productivity, champion self-service capabilities, and ensure platform scalability, security, and observability across multi-cloud environments. This is a high-impact, strategic position that combines technical leadership, mentorship, and hands-on execution while fostering innovation and continuous improvement.

Accountabilities

• Lead the definition, design, and evolution of the internal development platform (IDP), ensuring alignment with organizational strategy and developer needs.
• Build, mentor, and guide a high-performing cross-functional team, fostering collaboration, technical excellence, and continuous learning.
• Promote Platform Engineering principles, including self-service enablement, complexity abstraction, and a product-centric approach to internal tooling.
• Drive implementation and optimization of CI/CD pipelines and GitOps practices, leveraging ArgoCD for declarative Kubernetes deployments.
• Oversee containerization and orchestration with Kubernetes, ensuring scalable, resilient, and portable cloud-native applications.
• Collaborate with security and SRE teams to integrate security, observability, and compliance into platform operations.
• Optimize platform performance, cost efficiency, and resource utilization across multi-cloud environments (Azure and GCP).
• Partner with product, architecture, and development teams to gather requirements, align on roadmaps, and ensure platform adoption and success.

• University degree or college diploma in a related discipline.
• 5+ years of progressive experience in software engineering, DevOps, or SRE roles, including 2–3 years in a Platform Engineering capacity.
• Deep expertise with public cloud platforms (Microsoft Azure, Google Cloud Platform) including compute, storage, networking, and serverless services.
• Expert-level proficiency in Kubernetes, containerization technologies (Docker, Helm), and managing production clusters.
• Extensive experience with CI/CD pipelines, GitOps practices, and tools such as ArgoCD.
• Proficiency with Infrastructure as Code (IaC) using Terraform and scripting languages (Python, Go, Bash).
• Hands-on experience with observability, monitoring, logging, and tracing solutions (DataDog, OpenTelemetry).
• Strong understanding of cloud security, DevSecOps, and embedding security best practices in workflows.
• Exceptional communication, leadership, and strategic problem-solving skills.
• Product mindset with a focus on enhancing Developer Experience (DX) and adoption of internal tooling.

• Competitive salary range: $69,100 – $129,200 annually, commensurate with experience.
• Remote work flexibility within Canada.
• Comprehensive benefits including health, dental, life insurance, and disability coverage.
• Annual bonus program and performance recognition.
• Retirement savings plan with generous employer matching.
• Flexible work arrangements, personal health days, and four weeks of annual vacation.
• Paid parental leave, wellness programs, and employee referral incentives.
• Opportunities for professional development, career growth, and hands-on leadership in a transforming organization.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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