Cloud Platform Engineer

Make Your Mark:
The Staff Cloud Platform Engineer is a senior technical leader at the heart of Black Line's platform strategy. In this role you will drive the design, automation, and operational excellence of the service backbone that powers Black Line SaaS products. You will lead the evolution of our mission-critical platforms that have a direct influence on revenue generation, as well as serve as a trusted technical authority influencing architecture across the organization.

If you are an expert in Dev Ops principles, containers, event-driven technology, and data pipeline engineering and you thrive with ambiguity, think big without losing the details, and set the standard for engineering quality; this role is for you.

• Serve as technical lead and subject matter expert for engineering platform service architecture, driving design and delivery of scalable, resilient, cloud-native infrastructure.
• Architect and develop Kubernetes-native systems, including serverless architecture utilizing stateless services and serverless driven Knative sequences.
• Design and operate event-driven systems, utilizing platforms like Kafka and Pub/Sub, and bring an understanding of how to build for eventually consistent, efficient services.
• Champion a security-first approach across all platform design: network topology, firewall policy, container hardening, logging, monitoring, availability, and resiliency.
• Establish and maintain observability through custom sensors, dashboards, and alerting to ensure health, performance, and SLO compliance.
• Own and evolve the team's CI/CD strategy, ensuring the right mix of operational efficiency and toolchain security.
• Collaborate with and influence partner engineering teams, product, and IT teams on architecture decisions, IaC principles, and platform standards.
• Mentor engineers across the team; define and uphold documentation, operational runbooks, and engineering standards.
• Provide technical leadership for major cross-functional initiatives and serve as an escalation point for complex issues.

• 7-10+ years of experience in any combination of engineering, platform, or SRE roles.
• Expert, deep proficiency in at least one of: Rust, C#, Python, Go, Java, or equivalent) for platform engineering and SaaS development.
• Understanding of contrainer-targeted application development, such as with Docker, Swarm, Kubernetes, or App Engine.
• Understands and leverages cutting-edge AI tools, such as Claude, Gemini, ChatGPT, and Cursor, to enhance development productivity and efficiency of delivery; while effectively curating code quality.
• Hands-on experience with GCP (preferred) and/or AWS in production at scale; strong understanding of core services including Big Query, Pub/Sub, Cloud Storage, VPC networking, and IAM.
• Experience working with stateful databases and key-value data stores, such as PostgreSQL, Microsoft SQL, MySQL, MariaDB, MongoDB, Redis, and Val Key.
• Demonstrated ability to drive architectural decisions, lead platform-level initiatives, and influence cross-functional engineering teams.
• Thinks and executes like a technically minded product owner: is able to extract meaningful prioritization and delivery milestones from top-down leadership decisions and org initiatives.
• Experience designing and operating event-driven platforms (Kafka, Airflow, or equivalent).
• Strong written and oral communication skills; track record of building productive relationships across engineering, product, and IT organizations.
• Constant drive for operational improvement: ability to identify bottlenecks, implement change, and raise the quality bar across teams.

• Proficiency with Kubernetes, including scheduler optimization, Git Ops workflows via ArgoCD,…