Lead Platform Engineer - GCP

As Lead Platform Engineer, you will be responsible for architecting and maintaining the foundational infrastructure that supports efficient and scalable software development. This involves creating and enhancing developer tools, APIs, and integrations that automate workflows and streamline processes to improve team agility. You will collaborate closely with engineering teams to ensure the platform meets their needs for delivering high-quality applications, while maintaining scalability, reliability, and performance. A key aspect of this role is empowering development teams to independently provision and manage their own software delivery pipelines, including CI/CD systems, source control, and artifact repositories, enabling them to deliver software continuously and reliably without relying on other teams. You will guide the design and implementation of efficient and secure pipelines tailored to specific software delivery engagements, ensuring fast feedback loops and adherence to risk management, security, and governance requirements.

Job responsibilities

• Design, implement, and maintain scalable and reliable platform infrastructure to support the development and production environments.
• Drive automation and CI/CD pipelines for the platform, improving the speed and efficiency of deployments and operations.
• Ensure the platform's security, scalability, and high availability, meeting the business needs and operational SLAs.
• Troubleshoot and resolve platform-related issues, including performance bottlenecks, incidents, and outages, and ensure root cause analysis is performed and communicated.
• Implement and oversee the use of containerization technologies (Docker, Kubernetes) and manage cloud infrastructure service GCP
• Champion the use of Infrastructure as Code (IaC) principles to define and manage platform resources.
• Support the adoption of DevOps and GitOps practices to streamline deployments, enhance collaboration, and reduce manual intervention.
• Actively participate in performance tuning and optimization for cloud-based applications and infrastructure, ensuring long-term sustainability and performance.

Job qualifications

Technical Skills 

• Extensive experience in programming and scripting languages such as Python, Go, Bash, or similar.
• Deep understanding of cloud platform GCP and their services, including compute, storage, networking, and serverless technologies.
• Strong experience with containerization (Docker, Kubernetes, Helm) and container orchestration platform GKE
• Expertise in observability tools such as Prometheus, Grafana, Datadog, NewRelic, or ELK Stack, with the ability to diagnose and troubleshoot platform issues.
• Proficient with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or similar.
• Experience with cloud security best practices, including IAM, encryption, and securing cloud-native services.
• Knowledge of microservices architecture, serverless computing, RESTful APIs, and NoSQL databases.
• Familiarity with DevOps, CI/CD, and GitOps practices, with hands-on experience automating workflows and deployments.
• Strong understanding of platform performance tuning, cost optimization, and scaling.

Professional Skills

• Excellent communication and presentation skills, both written and verbal, with advanced/fluency in English.
• Strong collaboration skills and the ability to work effectively with cross-functional teams, including development, operations, and security teams.
• Ability to troubleshoot complex technical issues and provide clear, actionable solutions.
• Strong problem-solving skills, with a proactive and solution-oriented approach to challenges.
• Ability to make recommendations for platform improvements backed by strong technical reasoning.
• Strong ownership mentality with a focus on delivering results and driving continuous improvement.
• Ability to break down complex business and technical requirements and translate them into scalable and efficient platform solutions.