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Design, implement, and scale cloud infrastructure and platform engineering solutions. Responsibilities include Infrastructure as Code, Kubernetes, CI/CD, observability, OpenTelemetry, SRE practices, incident response, capacity planning, security governance, and automation across AWS, GCP, and Azure. The role also supports Agent Evaluations in CI/CD and observability systems, collaborates with clients, documents technical solutions, and communicates complex concepts to stakeholders.
Who we are:
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.
Our values:
- Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand.
- Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients.
- Love your craft • We love diving into a variety of domains and solving problems. We take pride in delivering value, in communicating progress, and guiding our clients to success.
We are seeking an experienced Senior Platform Consultant to help organizations implement, optimize, and scale their infrastructure.
Key Responsibilities:
Platform Engineering & Infrastructure
- Augment existing infrastructure with 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
Site Reliability Engineering (SRE)
- 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
Cloud & DevOps Engineering
- 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.
Required Qualifications:
Platform Engineering & DevOps
- 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)
Cloud & Infrastructure
- 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
Site Reliability Engineering
- 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
Programming & Automation
- 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
Core Observability & OpenTelemetry
- 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
Preferred Qualifications (Exceptional Candidates)
AI & Agentic Frameworks
- 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
Leadership & Communication
- Strong technical writing and documentation skills
- Ability to present complex technical concepts to diverse stakeholders
- A passion for knowledge sharing
Key Competencies
- 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
What to know before you apply:
- This role will require being in the Denver office three days per week and up to 20% travel within the United States.
- Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
- The Denver base salary range for this role is $130,000 - $180,000.
Focused Denver, Colorado, USA Office
1425 Market St, Denver, CO, United States, 80202
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
