Lead Platform Engineer, DevOps / AWS / Kubernetes

What you'll do

• Lead the design, development, and evolution of a highly scalable and reliable GraphQL platform.
• Manage large-scale workloads using containerization and orchestration technologies like Docker and Kubernetes.
• Establish observability, monitoring, and alerting standards to proactively detect and resolve platform issues.
• Develop automation strategies for CI/CD pipelines and infrastructure-as-code using Terraform and Python.
• Design self-service developer experiences including APIs, tooling, documentation, and integration patterns.
• Architect GraphQL schemas and RESTful APIs while implementing enterprise API standards.
• Drive the adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Manage complex, multi-environment infrastructure using infrastructure-as-code practices.

What we're looking for

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Proven leadership experience in mentoring engineers, leading technical initiatives, and driving architectural decisions across teams.
• Expert proficiency in containerization and orchestration technologies such as Docker and Kubernetes.
• Expert-level proficiency in scripting and automation using Python or similar languages like Bash or Groovy.
• Deep hands-on experience with Terraform and infrastructure-as-code practices for managing complex, multi-environment infrastructure.
• Strong expertise in GraphQL architecture, schema design, and RESTful API principles.
• Expert-level proficiency with version control workflows and distributed systems monitoring using tools such as Splunk, DataDog, Dynatrace, or CloudWatch.
• Deep understanding of OAuth 2.0, secure authentication/authorization patterns, and security best practices in platform engineering.