Platform Lead Engineer

Reporting to the Data, AI & Platforms Manager, you will be responsible for leading the daily technical execution and engineering quality of the Platform Engineering team through hands-on work, technical guidance, review, mentoring, and coordination across DevOps, Platform Engineering, and Data Platform activities.

Your primary objective is to act as the primary technical counterpart and operational right hand of the Manager for the platform domain, translating defined architecture, priorities, and engineering standards into consistent technical execution. Leading primarily through technical seniority, hands-on expertise, and execution ownership, you will ensure platform services remain stable, observable, secure, maintainable, and production-ready while decisively coordinating team dependencies, managing ITIL governance, leading incident response, and handling Change Advisory Board (CAB) processes to safeguard production environment integrity.

Key Responsibilities

• Provide senior technical leadership as the primary escalation reference to translate architectures into actionable tasks and resolve complex infrastructure, platform, and database issues
• Review and approve all technical deliverables, including scripts, configurations, Infrastructure as Code (IaC), deployment plans, and comprehensive operational runbooks
• Architect and optimize CI/CD pipelines and automated deployment workflows, enforcing strict quality gates and rollback mechanisms to ensure full release traceability
• Lead hands-on Linux and Kubernetes operations, orchestrating complex troubleshooting, resource optimization, advanced networking, and secure, version-controlled IaC management
• Mature monitoring and observability frameworks using Prometheus, Grafana, OpenSearch, or ELK to maximize real-time system visibility and drive automated anomaly detection
• Govern enterprise data platforms, providing senior technical ownership over PostgreSQL, MySQL, Hadoop, and Data Lakehouse infrastructures to ensure high availability and robust capacity management
• Enforce ITIL guidelines and CAB change controls, systematically managing ticketing structures, incident triage, and root-cause analysis to rigorously mitigate production risks
• Coordinate and mentor the engineering team through assertive direction, constructive code reviews, hands-on pairing, and responsible governance of AI-assisted engineering copilots

Is this you?

• 6+ years of experience in Platform Engineering, DevOps, or Systems Engineering with a proven track record as a technical lead, demonstrating strong, assertive leadership to oversee 3 major domains (Data, AI, and Platform) simultaneously
• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field, with excellent stakeholder-management skills and English fluency
• Deep hands-on expertise in enterprise Linux administration and advanced Kubernetes cluster management, including workload scheduling, networking, ingress, storage, and pod-level troubleshooting
• Extensive experience with automated CI/CD tools (GitLab CI/CD, Jenkins, ArgoCD) and Infrastructure as Code platforms (Terraform, Ansible) to ensure changes are version-controlled and reproducible
• Heavy experience with monitoring setups (Prometheus, Grafana, OpenSearch, ELK) combined with solid operational knowledge of relational databases (PostgreSQL/MySQL) and Big Data environments (Hadoop/Data Lakehouse)
• Practical understanding of ITIL governance practices, ticketing systems, request chains, and Change Advisory Board (CAB) process alignment, alongside a solid grasp of platform security practices (RBAC, secrets management, network policies)
• Strong scripting capability using Python and Bash for operational tooling, with the ability to responsibly use AI-assisted engineering tools and copilots for troubleshooting and log analysis
• Relevant professional certifications (CKA, CKAD, CKS, RHCE, ITIL, cloud, or database certifications) are highly preferred, and exposure to advanced data frameworks (Iceberg, Spark, Trino) or GitOps/Service Mesh tooling is a strong plus

Be Part of the ATI Journey

Our aim at ATI Business Group in working with our Clients is to support their continued growth by providing cost-effective technology and talented & scalable people resources on demand. ATI’s singular focus on providing services to the travel and hospitality business communities across the globe has been a remarkably successful one. Since commencing in 2002, we now have over 1,300 employees providing services to our clients worldwide.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.