Principal SRE / Dev Ops Engineer

Architecture Strategy and Vision (35%)

• Formulate the multi-year technical roadmap for our platform reliability, infrastructure, and operational excellence, identifying where intelligent automation can significantly remove engineering and operational bottlenecks (e.g., routine toil, deployment friction, scaling overhead, and incident response).
• Obtain executive and stakeholder buy-in for a documented vision for our SRE / DevOps deliverables. Communicate changes to and/or progress against the vision to executive and technical audiences.
• Translate the technical vision to actionable and trackable work plans, including meaningful milestones. Work with Software Product, Go-To-Market, and other partner teams and stakeholders to align on appropriate milestones and timelines.
• Translate business and reliability requirements to right-sized technical specifications; mentor team members to create technical documentation and clear success criteria (including SLIs/SLOs and error budgets).
• Maintain a security-first mindset, ensuring all infrastructure, automation frameworks, and CI/CD pipelines are robustly defended against operational and security vulnerabilities.
• Provide strong technical leadership and mentorship across teams, establishing clear, practical departmental standards for the safe and ethical use of automation and AI coding/ops assistants.
• Develop an appropriate reliability and testing strategy (leveraging automation and AI where effective for chaos testing, integration validation, and coverage), ensuring LOE estimates include right-sized reliability and observability work.

SRE / DevOps Engineering (35%)

• Design, implement, and maintain production-grade Kubernetes platforms, cluster management, and related orchestration.
• Build and evolve Infrastructure as Code and configuration management using Ansible and Terraform for consistent, repeatable environments.
• Own and continuously improve CI/CD pipelines, deployment strategies, and release automation to enable safe, frequent, and reliable software delivery.
• Implement and refine observability stacks centered on Grafana (along with metrics, logging, and tracing systems) to provide actionable visibility into system health, performance, and reliability.
• Create and maintain automation for operational toil reduction, self-healing systems, and infrastructure provisioning as needed.
• Use AI coding and ops assistants daily for scripting, infrastructure code, refactoring, pipeline improvements, and reliability testing.

Project Management (25%)

• Follow established agile ceremonies, including best practice metrics that are reviewed with the team to support continuous improvement (DORA metrics, SLO attainment, error budget burn, incident metrics, cycle time, technical debt, etc.).
• Create and deliver on visible project plans, break down milestones into distinct work, plan and assign work, and ensure timely and accurate delivery.
• Clearly and proactively communicate progress against the plan including status, blockers, dependencies, and risks.
• Clear blockers to timely or accurate delivery; escalate to leadership as appropriate.
• Identify and proactively communicate work needed from outside the team, obtain commitment, and follow through to ensure dependencies will be delivered to plan.
• Set appropriate documentation expectations for the team (runbooks, architecture decision records, post-incident reviews); ensure this is included in LOE estimates.

Continuous Improvement (5%)

• Identify, align stakeholders on, and implement improvements to our processes, codebases, and architecture.

• You are an exceptional SRE / DevOps engineer who is passionate about reliability, observability, clean automation, robust infrastructure architecture, and production stability. You view generative AI as a pragmatic utility to accelerate engineering and operational velocity.
• You understand that technology best practices and patterns are always shifting, and you love evaluating whether emerging frameworks, tools, or practices should evolve our roadmap.
• You have experience delivering flexible, highly available platforms that provide meaningful reliability and operational insights.
• You possess a security-oriented mindset and deeply understand the security boundaries required when exposing infrastructure and automation tooling.
• You treat everyone with empathy and respect.
• You are a strong communicator, effectively clarifying technical needs, reliability trade-offs, and operational impacts for cross-functional and non-technical partners.
• You excel at balancing rapid responses to real business and operational needs with foundational, long-term architectural and reliability stability.

• 14+ years of experience building, operating, and optimizing large-scale distributed systems, cloud infrastructure, and production platforms.
• Deep hands-on expertise with Kubernetes (cluster architecture, networking, scaling, security, and day-2 operations).
• Strong experience with Ansible (or equivalent configuration management) and Terraform (or equivalent Infrastructure as Code tools) for infrastructure automation, consistency, provisioning, and managing cloud and infrastructure resources.
• Proven ownership of modern CI/CD pipelines, deployment strategies, and release engineering practices.
• Extensive experience designing and operating observability platforms, with strong proficiency in Grafana (dashboards, alerting, and integration with metrics/logging/tracing systems).
• Solid scripting and automation skills (Python, Bash, or equivalent) plus Infrastructure as Code practices.
• Demonstrated ability to establish and drive SRE practices including SLIs/SLOs, error budgets, incident management, and toil reduction.
• Experience using advanced coding/ops assistants extensively for day-to-day automation, infrastructure code, testing, and the ability to establish team standards around their safe and effective use.
• Experience designing systems with appropriate human oversight for automated or agentic operational workflows.

• 2+ years of hands-on experience integrating generative AI/LLM components or advanced automation frameworks into production infrastructure or operational systems.
• Familiarity with advanced Kubernetes operators, service meshes, or multi-cluster management.
• Experience implementing tracing frameworks and advanced observability for complex distributed systems.
• Knowledge of event-driven architectures, time-series data, or high-cardinality metrics environments.
• Exposure to IoT telemetry or similar high-volume data streams.
• Solar industry experience

• We mentor and invest in our employees and prioritize them for future opportunities. Check out our Instagram reels to see a few career journey examples
• Internal candidates: Check out our advice on Internal Transfer: Job Application Process
• We’re a fast-growing startup, which means we’re constantly reinventing processes, adding new products, and asking people to use all of their skills and talents. That means there’s gonna be a lot of opportunities for you to grow, which also means you will likely be stretched in ways you’ve never experienced in a job before. If you are resilient, determined, and not afraid of a big challenge, come apply.

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