As a key member of our engineering team, you will own and operate Figma's core observability stack, including vendor platforms such as Datadog, ensuring high availability, strong data quality, and effective signal-to-noise across metrics, logs, and traces.

You will define and drive the technical strategy for instrumentation standards, observability libraries, agents, and operators used to monitor internal and external facing services. You will also explore and implement innovative, AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.

In addition, you will establish clear frameworks for cost attribution, budgeting, forecasting, and alerting across infrastructure and observability spend, enabling teams to make informed tradeoffs.

You will partner with infrastructure, product engineering, finance, and security teams to improve visibility into system health and cost efficiency at scale.

You will lead initiatives to optimize observability footprint and spend, balancing depth of insight with performance and cost considerations.

You will coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, collaboration, and high-quality execution.

We are looking for someone with 4+ years of experience leading infrastructure, observability, or platform engineering teams, with a track record of delivering highly reliable production systems.

You should have deep hands-on experience with modern observability platforms (e.g., Datadog, OpenTelemetry) across metrics, logs, and distributed tracing.

You should have a strong understanding of distributed systems, instrumentation best practices, SLO design, and incident response workflows.

Experience driving cost transparency and accountability initiatives, including cost attribution, budgeting, forecasting, and alerting in cloud environments is also required.

Preferred skills include experience designing or evolving company-wide observability standards, shared libraries, and agent/operator-based integrations, background in cost optimization for infrastructure or observability tooling, including vendor negotiations and usage modeling, and experience applying AI or machine learning techniques to anomaly detection, root cause analysis, or operational automation.

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Responsibilities

• Build and maintain service frameworks and shared libraries
• Drive AI adoption, championing AI tools, harnesses, and agentic software development, and establishing standards for APIs, background jobs, and event-driven systems.
• Improve developer workflows (local development, testing, CI/CD, service scaffolding)
• Partner with infrastructure teams to help define how services run in production
• Ensure services are observable, reliable, and production-ready by default
• Drive adoption of platform standards across the organization
• Contribute to system design and architecture across multiple domains

Qualifications

• A minimum 10 years in software engineering, site reliability engineering, or platform engineering
• Advocate for the integration of AI throughout the SDLC to accelerate and improve delivery velocity.
• Strong experience building platforms and paved paths for systems in production environments
• Experience with distributed systems and service-oriented architectures
• Proficiency in modern programming languages such as, Kotlin, Typescript, Go, Python
• Familiarity with cloud infrastructure and containerized environments (e.g., GCP, Kubernetes, Docker)
• Experience building shared libraries, frameworks, or internal tooling
• Ability to work across teams and influence technical direction

Nice to Have

• Familiarity with observability tooling (metrics, logging, tracing)
• Experience with CI/CD systems and developer tooling
• Exposure to high-scale or multi-service environments

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As a Member of Technical Staff on the Domain Engineering team, you are responsible for ensuring a robust technology stack, enabling our company to build scalable, efficient, and maintainable products. Allowing our product teams to focus on developing customer-focused features.

You are a strong individual contributor and you have the ability to significantly contribute to and execute complex engineering projects, enabled with appropriate coding and testing. You can understand the “why” in order to connect dependencies to the “bigger picture” and Anchorage mission and product roadmap.

Technical Skills:

• Collaborate with other engineering teams to identify areas for improvements across our engineering stack.
• Previous experience in establishing shared libraries across teams, with a focus on standardization, code quality, and reduced duplication.
• Proven experience with application observability projects that involved setting up performance metrics, log aggregation, tracing, and alerting systems.

Complexity and Impact of Work

• Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice).
• Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt and bureaucracy.
• Ship code that will impact the whole organization.

Organizational Knowledge

• Collaborate across multiple teams, especially on integration, standardization, and shared resources.
• Influence others by engaging in in-depth technical design discussions and demonstrating best practices through technical leadership by example.
• Make a meaningful impact across the entire engineering organization, extending influence beyond the immediate team.

Communication and Influence

• Communicate technical concepts and solutions effectively to non-technical stakeholders.
• Build strong relationships with colleagues to drive collaboration and innovation.

You may be a fit for this role if you:

• You are passionate about constantly seeking opportunities to refine and enhance existing systems and processes.
• Driven by a passion for being a force multiplier and influential technical leader in a dynamic, fast-paced startup environment.
• Have expert coding skills in Golang.
• Experienced in cross-functional projects, collaborating effectively with your team and adjacent teams to tackle complex challenges.
• Have excellent soft skills, including, the ability to adapt communication for both internal and external stakeholders in an effective manner, bridging gaps with empathy and proactive communication.

Although not a requirement, bonus points if:

• Infrastructure-as-code; Terraform, Gitops, Helm
• Google Cloud Platform & Security

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