Senior Staff Platform Engineer

Accountabilities

Cloud infrastructure ownership: Design, build, and operate scalable cloud environments, primarily using Microsoft Azure, ensuring reliability, security, performance, and cost efficiency.
Infrastructure as code: Develop and maintain reusable infrastructure automation using Terraform and other appropriate tools to standardize provisioning and configuration management.
Containerization and orchestration: Manage containerized workloads using Docker, Kubernetes, and modern deployment patterns to support scalable and resilient applications.
Data pipeline orchestration: Build and operate reliable data infrastructure, including pipeline orchestration, change data capture (CDC), distributed compute, and messaging systems such as Ray and Azure Service Bus.
CI/CD and deployment automation: Design and improve continuous integration and continuous delivery pipelines, release automation, and developer tooling to streamline software delivery.
Observability and monitoring: Implement and maintain monitoring, logging, tracing, alerting, and diagnostic systems to improve visibility into platform health and application performance.
Site reliability engineering: Establish and improve service-level objectives (SLOs), capacity planning practices, incident response procedures, and reliability standards across the platform.
Incident management: Lead investigations into production incidents, coordinate resolution efforts, identify root causes, and implement preventive measures to reduce recurring failures.
Operational efficiency: Identify repetitive operational tasks and eliminate unnecessary manual work through scripting, automation, and improved engineering workflows.
Platform architecture and technical leadership: Influence architectural decisions, establish infrastructure standards, and guide technical direction as the platform evolves.
Developer enablement: Build reliable, self-service infrastructure and deployment capabilities that allow product engineering teams to deliver features quickly without compromising production stability.
Continuous improvement: Evaluate emerging technologies and infrastructure practices to improve scalability, data integrity, security, and operational performance.
Requirements
Professional experience: At least five years of experience building and operating production cloud infrastructure at scale, with a strong track record of delivering reliable systems.
Cloud platform expertise: Hands-on experience managing cloud infrastructure, with proficiency in infrastructure as code, particularly Terraform. Microsoft Azure experience is an advantage.
Container technologies: Solid understanding of Docker, Kubernetes, container orchestration, and modern application deployment strategies.
CI/CD expertise: Demonstrated experience building and maintaining deployment pipelines, release automation, and developer productivity tools.
Observability skills: Practical experience with monitoring, alerting, centralized logging, distributed tracing, and production troubleshooting.
Site reliability engineering: Strong understanding of SLOs, incident management, capacity planning, reliability engineering, and automation-driven reduction of operational toil.
Distributed systems knowledge: Ability to design, operate, and troubleshoot scalable infrastructure and distributed production workloads.
Data infrastructure experience: Familiarity with data pipelines, streaming systems, change data capture, and distributed compute frameworks. Experience with Ray, Kafka, or Azure Service Bus is particularly valuable.
Enterprise platform experience: Background in B2B SaaS, enterprise data platforms, or other environments where uptime, data integrity, and operational reliability are critical customer commitments.
Startup experience: Experience establishing infrastructure foundations in a high-growth environment, preferably with responsibility for designing systems from the ground up.
Technical judgment: Ability to make sound architectural decisions, balance short-term delivery with long-term maintainability, and proactively address infrastructure risks.
Collaboration and ownership: Strong communication skills, a proactive mindset, and the ability to work independently while partnering effectively with engineering teams.
Continuous learning: Interest in improving platform architecture, exploring emerging technologies, mentoring colleagues, and contributing to a culture of engineering excellence.
Benefits
Competitive compensation: Salary package designed to reflect experience, technical expertise, and responsibilities.
Annual performance bonus: Additional earning potential based on performance.
Equity participation: Employee stock option plan, offering an opportunity to share in the company's growth.
Comprehensive healthcare: 100% employer-paid medical, dental, and vision coverage.
Retirement savings: 401(k) plan with an employer contribution.
Paid time off: Generous vacation and sick leave to support work-life balance.
Flexible work arrangements: Remote work within the United States, with flexibility in how work is organized.
Equipment support: High-quality equipment for home and office use.
Technical autonomy: Significant influence over infrastructure architecture, engineering standards, and technical direction.
Professional growth: Opportunities to expand technical expertise and develop leadership capabilities as the platform scales.
Collaborative environment: Work alongside a small, experienced engineering team that values ownership, mentorship, and continuous improvement.
High-impact projects: Solve challenging problems involving AI, distributed systems, enterprise data, and production reliability.