{"id":971562,"url":"https://alion.io/job/focused-staff-platform-engineer","title":"Staff Platform Engineer","company":{"id":699762,"name":"Focused","domain":"focused.io","url":"https://alion.io/company/focused-3","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":14,"ghost_share":0,"stale_share":0.786,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95000,"max":130000,"currency":"GBP","period":"year","gross":null,"usd_annual":172157},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Podman","optional":false},{"name":"PowerShell","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Embeddings","optional":true},{"name":"Honeycomb","optional":true},{"name":"JavaScript","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2025-12-05T14:38:40Z","employer_posted_date":"2026-02-02","last_verified_at":"2026-10-18T22:25:48Z","board_verified":true,"closed_at":null,"days_open":317,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":316},"description":"Who we are:\nAt 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. \nOur values:\nListen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. \nLearn 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. \nLove 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.\nWe are seeking an experienced Staff Platform Engineer with deep expertise leading clients and teams, and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their infrastructure. \nKey Responsibilities:\nPlatform Engineering & Infrastructure\nAugment existing infrastructure with with integrated observability solutions\nImplement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.\nArchitect and manage Kubernetes clusters with comprehensive monitoring and logging\nBuild CI/CD pipelines with embedded observability and automated testing\nSite Reliability Engineering (SRE)\nEstablish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)\nImplement error budgets, toil reduction strategies, and capacity planning\nSupport incident response procedures and post-mortem processes\nCloud & DevOps Engineering\nDeploy and manage observability infrastructure across AWS, GCP, and Azure\nEstablish security, compliance, and governance frameworks for telemetry data\nExperience automating Agent Evaluations in CI/CD pipelines and observability backends.\nOpenTelemetry & Observability\nDesign and implement end-to-end OpenTelemetry solutions across diverse technology stacks\nConfigure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing\nEstablish telemetry pipelines for metrics, traces, and logs across microservices architectures\nOptimize collector configurations for performance, reliability, and cost-effectiveness\nRequired Qualifications:\nPlatform Engineering & DevOps\n7+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response\nProficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)\nStrong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)\nCloud & Infrastructure\nHands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services\nExperience with container technologies (Docker, Podman) and container registries\nKnowledge of networking, security, load balancing, and distributed systems concepts\nSite Reliability Engineering\nExperience implementing SRE practices including error budgets and toil metrics\nProficiency in incident management, on-call procedures, and post-mortem culture\nExperience with capacity planning, performance optimization, and scalability design\nProgramming & Automation\nProficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)\nStrong scripting and automation skills (Bash, Python, PowerShell)\nUnderstanding of software engineering best practices and testing methodologies\nCore Observability & OpenTelemetry\n3-7 years of experience in observability, monitoring, and distributed systems\nDeep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications\nProficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers\nStrong understanding of telemetry data models, semantic conventions, and instrumentation best practices\nPreferred Qualifications (Exceptional Candidates)\nAI & Agentic Frameworks\nUnderstanding of Large Language Models (LLMs) and their application in DevOps\nKnowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)\nExperience with AI/ML model deployment and monitoring in production environments\nLeadership & Communication\nExperience leading teams, managing client relationships and expectations\nStrong technical writing and documentation skills\nAbility to present complex technical concepts to diverse stakeholders\nA passion for knowledge sharing\nKey Competencies\nSystems thinking and ability to design holistic observability solutions\nStrong analytical and troubleshooting skills for complex distributed systems\nCuriosity about emerging technologies, particularly AI applications in operations\nAdaptability to rapidly evolving cloud-native and observability technologies\nCollaborative mindset with focus on enabling developer productivity and system reliability\nWhat Sets Exceptional Candidates Apart:\nExperience with Honeycomb\nContributions to open-source observability or AI framework projects\nTrack record of implementing platform engineering solutions that significantly improved developer experience\nExperience scaling observability infrastructure to handle high event volume\nWhat to know before you apply: \nYou will be expected to work for up to four days a week in person, be it from our office in London or from client sites.\nThe London base salary range for this role is £95,000- £130,000 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