This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Staff Cloud Platform Engineer is a senior technical leader at the heart of BlackLine’s platform strategy. In this role you will drive the design, automation, and operational excellence of the service backbone that powers BlackLine 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 DevOps 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.
Job Responsibility
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
Requirements
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 container-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 BigQuery, Pub/Sub, Cloud Storage, VPC networking, and IAM
Experience working with stateful databases and key-value datastores, such as PostgreSQL, Microsoft SQL, MySQL, MariaDB, MongoDB, Redis, and ValKey
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
Nice to have
Proficiency with Kubernetes, including scheduler optimization, GitOps workflows via ArgoCD, config management via Kustomize, and security tooling
Familiarity with frontend frameworks like React, Angular, or Vue are a plus
Hands-on experience with Google Cloud managed services, including: BigQuery, Pub/Sub, Cloud Storage, and relevant compute products
Working knowledge of Infrastructure as Code (IaC) using Terraform and/or CloudFormation
experience with Ansible or comparable configuration management tooling
Experience with container security scanning, policy enforcement, and supply-chain tooling