Senior Platform Engineer
Focused Labs•Denver, CO
•Hybrid
About The Position
Focused is seeking an experienced Senior Platform Consultant to help organizations implement, optimize, and scale their infrastructure. At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.
Requirements
- 3+ years of Platform Engineering or DevOps experience
- Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
- Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
- Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
- Experience with container technologies (Docker, Podman) and container registries
- Knowledge of networking, security, load balancing, and distributed systems concepts
- Experience implementing SRE practices including error budgets and toil metrics
- Proficiency in incident management, on-call procedures, and post-mortem culture
- Experience with capacity planning, performance optimization, and scalability design
- Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
- Strong scripting and automation skills (Bash, Python, PowerShell)
- Understanding of software engineering best practices and testing methodologies
- Experience in observability, monitoring, and distributed systems
- Hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
- Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
- Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices
Nice To Haves
- Understanding of Large Language Models (LLMs) and their application in DevOps
- Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
- Experience with AI/ML model deployment and monitoring in production environments
- Strong technical writing and documentation skills
- Ability to present complex technical concepts to diverse stakeholders
- A passion for knowledge sharing
- Systems thinking and ability to design holistic observability solutions
- Strong analytical and troubleshooting skills for complex distributed systems
- Curiosity about emerging technologies, particularly AI applications in operations
- Adaptability to rapidly evolving cloud-native and observability technologies
- Collaborative mindset with focus on enabling developer productivity and system reliability
Responsibilities
- Augment existing infrastructure with integrated observability solutions
- Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
- Architect and manage Kubernetes clusters with comprehensive monitoring and logging
- Build CI/CD pipelines with embedded observability and automated testing
- Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
- Implement error budgets, toil reduction strategies, and capacity planning
- Support incident response procedures and post-mortem processes
- Deploy and manage observability infrastructure across AWS, GCP, and Azure
- Establish security, compliance, and governance frameworks for telemetry data
- Experience automating Agent Evaluations in CI/CD pipelines and observability backends.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
