About Bridger Photonics, Inc.

Bridger Photonics, Inc. creates and deploys innovative LiDAR sensors for the Oil & Gas and Industrial Manufacturing industries. Our airborne LiDAR sensors are transforming the way the Oil & Gas industry discovers and manages natural gas (methane) leaks. this opportunity is resulting in significant and rapid growth for our company.

About the role

The Platform Engineer is a hands-on, generalist infrastructure role on the Platform Engineering team, focused on building, operating, and improving the platforms that enable our developers to deliver high-quality software at speed.

Our team's mission is to provide a modern, batteries-included developer platform in the cloud. We build the paved roads that enable teams to self-service infrastructure, adopt best practices by default, and shift left on testing, security, and observability. You will contribute directly to that mission — designing, building, and owning components of our cloud-native platform while working within a broader system you are expected to understand end-to-end.

This role requires a self-driven engineer who takes ownership of their work and operates independently. You should be past the point of needing day-to-day guidance — comfortable picking up a well-scoped problem, researching what you don't know, and driving it to completion. You'll have support and mentorship from senior team members, but the expectation is that you are resourceful, proactive, and accountable for your own output and growth.

What you'll do

• Advance our cloud-native platform with automation, observability, and self-service capabilities.
• Design and own discrete platform components that fit into broader infrastructure systems.
• Improve developer experience by providing opinionated defaults and batteries-included tooling.
• Leverage AI tools and workflows to accelerate your own work and raise the bar for the team.
• Collaborate across teams to embed modern platform practices and improve software delivery.

Responsibilities

Infrastructure & Platform Development

• Contribute to the design, operation, and evolution of our AWS-based Kubernetes platform using Terraform, GitLab CI, and ArgoCD.
• Design and own individual platform components (e.g., a Lambda function, an event-driven pipeline, a CI job template) and understand how they integrate into the broader system.
• Make technical decisions within the scope of your owned components, and escalate broader architectural tradeoffs to senior team members for alignment.
• Build on top of AWS managed services and cloud-managed tooling (e.g., Cloudflare, Tailscale) as a default — reaching for managed offerings before self-hosted solutions.
• Write clean, well-documented infrastructure-as-code and automation that others can maintain and extend.
• Observability & Monitoring
• Implement and maintain observability tooling — logging, metrics, distributed tracing, and alerting — integrated into developer workflows.
• Contribute to monitoring frameworks that provide actionable insights into system health and performance.

Incident Response & On-Call

• Participate in the team's on-call rotation and serve as an escalation point during incidents.
• Lead incident response efforts: triaging, coordinating, and driving resolution for platform-related issues.
• Own and facilitate blameless postmortems, ensuring lessons learned translate into concrete improvements.
• Continuously improve on-call runbooks, escalation paths, and incident response processes.

CI/CD & Automation

• Build and maintain CI/CD pipelines that enable automated builds, tests, and deployments.
• Contribute to standardized deployment practices that balance reliability, security, and speed.
• Automate repetitive operational tasks to reduce toil and improve consistency.

Developer Experience & Collaboration

• Provide opinionated, self-service tooling and documentation that helps developers move fast with guardrails.
• Partner with software teams to understand their workflows and pain points, and translate those into platform improvements.
• Support the growth of developers and teammates by sharing knowledge and helping them navigate cloud-native tools and platform practices.

AI-Assisted Engineering

• Use AI tools effectively in daily work — coding, troubleshooting, writing automation, and accelerating problem-solving.
• Stay current with AI-assisted development workflows and continuously improve how you leverage them.
• Identify opportunities where AI tooling can reduce manual effort or improve platform quality.

Qualifications

• Typically 2–3+ years of professional experience in Platform Engineering, Site Reliability Engineering, or DevOps; though demonstrated competency and impact matter more than years on a resume
• Cloud-native mindset — you think in terms of managed services, serverless patterns, and modern cloud tooling rather than self-hosting by default
• Hands-on experience with:
• Kubernetes in production (preferably AWS EKS)
• AWS cloud services and managed offerings (e.g., Lambda, S3, SQS, RDS, IAM,EventBridge, networking)
• Infrastructure as Code (Terraform)
• CI/CD tooling (GitLab CI, ArgoCD, or similar)
• Strong programming and scripting skills (Python, Go, Bash, or equivalent) with a focus on automation
• Solid understanding of observability tools and frameworks (e.g., Prometheus, Grafana, Open Telemetry)
• Demonstrated ability to work independently — you take ownership of problems and drive them to resolution without requiring constant direction
• Proficiency with AI-assisted development tools and workflows
• Strong communication and collaboration skills

Preferred Qualifications

• Broad familiarity with the AWS ecosystem as a product catalog — understanding which managed services to reach for and when
• Familiarity with cloud-managed tooling beyond AWS (e.g., Cloudflare, Tailscale)
• Experience with GitOps workflows and declarative infrastructure management
• Understanding of secure software supply chain practices
• Experience working in an embedded model alongside software development teams

Measure of Success

• Platform components you own are reliable, well-documented, and maintainable by others.
• You operate independently — identifying problems, proposing solutions, and executing with minimal hand-holding.
• Developers adopt the tooling and workflows you build with minimal friction.
• You actively use AI tools to accelerate your work and share effective patterns with the team.
• You understand how your work fits into the broader platform architecture, even when your scope is a single component.
• Observability and automation you contribute to measurably reduce toil and improve system reliability.
• You default to managed services and cloud-native solutions, and can articulate why when a self-hosted approach is the better choice.