{"id":2743749,"url":"https://alion.io/job/smartlight-analytics-staff-software-engineer-smartlight-analytics","title":"Staff Software Engineer - SmartLight Analytics","company":{"id":4419716,"name":"SmartLight Analytics","domain":"smartlightanalytics.com","url":"https://alion.io/company/smartlightanalytics","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":146000,"max_usd":278000,"period":"year","method":"global_role_seniority_cell","sample_n":2198},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"HIPAA","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"SOC 2","optional":false},{"name":"Azure","optional":true},{"name":"Datadog","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-16T21:40:58Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T02:17:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Position Summary\nSmartLight Analytics is on a mission to lower the cost of healthcare by reducing wasteful spend on behalf of our self-funded customers. We are seeking a Staff Software Engineer to drive execution on key initiatives across a portfolio that spans new products, modernization of existing platforms, and re-engineering of core workflows. In this role, you will work alongside a team of senior engineers to turn product priorities into predictable delivery, shape how the team plans and ships, and help build an AI-native delivery system that increases velocity across the software development lifecycle.\nThis is a senior individual contributor role in which most of your impact comes through the team: delegating clear ownership, coaching engineers, and clearing obstacles, while staying hands-on where it makes the biggest difference. You will work directly with the Sr. Director of Engineering on priorities, capacity, and how the team evolves, with room to grow into people leadership as the team expands.\nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\nKey Responsibilities\nOwn end-to-end execution of major initiatives: translate roadmap priorities into realistic plans, sequence work, and keep progress and risks visible to stakeholders\n\nBreak initiatives into well-scoped work and delegate clear ownership across the team, so delivery doesn't depend on any one person\n\nHelp design and build an AI-native delivery system, applying AI-assisted and agentic tooling from planning through release to increase velocity without lowering the quality bar\n\nPartner with senior engineers and engineering leadership to turn technical direction into concrete delivery plans, raising risks and tradeoffs early enough to inform technical decisions\n\nCoach and mentor senior engineers on ownership, planning, estimation, and cross-team communication, supporting their growth in partnership with the Sr. Director of Engineering\n\nContribute to team growth by shaping team structure and capacity plans with the Sr. Director of Engineering and playing a central role in hiring and onboarding new engineers\n\nWork with Product, Data Engineering, Infrastructure, and QA to clarify scope and priorities, align dependencies and release timing, and set expectations the team can meet\n\nRefine delivery practices, including planning cadence, work intake, definition of done, release readiness, and incident follow-up\n\nMake delivery health measurable, using delivery metrics and observability data to track predictability and release quality, catch regressions early, and remove bottlenecks\n\nStay hands-on where it adds the most value: unblocking critical-path work, contributing to complex changes, reviewing designs and code, and building deep familiarity with the platform\n\nKeep delivery, including AI-assisted work, inside governance: changes move through change management, documentation stays current, and HIPAA and SOC 2 expectations are built into day-to-day work\n\nRequired Skills and Qualifications\nBachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience\n\n8+ years of professional software engineering experience, including 3+ years leading delivery of complex initiatives across a team of engineers, as an engineering manager, team lead, or staff-level engineer\n\nA track record of delivering complex software products through a team: planning and sequencing work, managing dependencies and risk, and meeting commitments\n\nStrong hands-on engineering background in designing, building, and operating production systems such as web applications, APIs, and data-intensive backend services\n\nProficiency with modern AI-assisted development tools and agentic development practices, with sound judgment about where they help and where they need guardrails\n\nExperience building and improving delivery practices, including agile planning, CI/CD, automated testing, and release management\n\nExperience coaching and developing senior engineers, with a habit of delegating real ownership while holding a high bar for outcomes\n\nDemonstrated ability to learn a new technology stack and codebase quickly and become effective in it\n\nExcellent problem-solving skills, attention to detail, and accountability for production reliability\n\nStrong teamwork and communication skills, able to explain status, tradeoffs, and risk clearly to both technical and business audiences\n\nPreferred Qualifications\nPrior people management experience, or a strong interest in developing as a people leader\n\nExperience scaling an engineering team, including hiring, onboarding, and establishing team norms\n\nExperience rolling out AI-assisted or agentic development practices across a team without compromising quality or compliance\n\nExperience with modern observability platforms such as Datadog\n\nExperience with Microsoft Azure, SQL Server, and Snowflake\n\nFamiliarity with healthcare claims data or other regulated data domains\n\nExperience working in HIPAA and/or SOC 2 regulated environments","description_format":"text","description_chars":5135,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data & Analytics","Health Care"],"lifecycle":[{"event":"open","at":"2026-10-16T21:40:58Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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