Principal Tech Lead Manager (Data Platform & Reliability Engineering)
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Jul 18, 2026. ID.me scores B on the Alion truth index.
Join ID.me as a Principal Tech Lead Manager to lead and scale our Data Platform Team, focusing on Site Reliability Engineering and Data Reliability. You will own the technical architecture and people leadership for the data platform tier, ensuring operational and analytical data layers meet strict SLAs for uptime, performance, data freshness, and compliance. Responsibilities include defining and evolving the technical architecture, implementing SRE practices, driving performance engineering and optimization, leading engineering execution, team leadership and talent development, ensuring security, governance, and compliance, and championing AI-first practices.
Missions
- Define and evolve the technical architecture and operational standards for ID.me's data platform, focusing on performance, scale, and high availability.
- Implement robust mechanisms for database clustering, replication, failover, disaster recovery, automated provisioning, and zero-downtime migrations.
- Drive roadmap delivery across the team-setting priorities, removing operational blockers, and ensuring the team builds reliable data tools and automation.
Profil recherché
- The ideal candidate brings a strong systems-engineering mindset, deep expertise in managing large-scale relational databases, and a passion for building robust, self-healing data infrastructure- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
- 5+ years of experience in data engineering, site reliability, or platform engineering
- Leadership Experience: 8+ years of total software/infrastructure engineering experience, with at least 3 years explicitly in an engineering management or tech lead manager capacity leading teams of 5-10+ engineers
- Software Development Track Record: Previous track record of running or leading a regular software development or feature team (building backend APIs, business logic, or customer-facing applications) is a major plus
- Graph Database Experience: Familiarity or hands-on experience with graph database concepts, optimization, and technologies (e.g., Neo4j, Amazon Neptune) or custom-built graph layers
- Streaming & Pipelines: Experience with event-driven architectures and streaming data pipelines (e.g., Kafka, Kinesis) feeding into relational or non-relational datastores
- Regulated Environments: Background working within highly secure or regulated industries (e.g., FinTech, HealthTech, GovTech) handling highly sensitive personal data
- Database Expertise: deep, hands-on experience architecting, managing, tuning, and maintaining highly available production PostgreSQL database clusters at scale
- Reliability & SRE Foundations: Proven background in data reliability engineering, site reliability engineering, or core data platform engineering. Deep familiarity with setting up production SLAs/SLOs, automated alerting, and incident response systems
- Cloud & Infrastructure-as-Code: Strong experience with at least one major cloud platform (preferably AWS) and cloud-native ecosystem tools, including Kubernetes, Terraform, and Helm
- Cross-Functional Communication: Exceptional communication skills with the ability to translate complex database infrastructure and reliability needs into clear, actionable goals for product teams and executives