Staff Software Engineer - AI-Driven Delivery & Leadership

SmartLight Analytics Inc.; United States; A distancia; USD 160.000 - 230.000; Jornada completa

Descripción de la vacante

SmartLight Analytics is seeking a Staff Software Engineer to drive execution across a portfolio that includes new products, modernization of platforms, and re-engineering of core workflows. You will work with senior engineers to translate priorities into predictable delivery and help build an AI-native delivery system that increases velocity.

This is a senior individual contributor role where impact comes from coaching and hands-on work, with opportunities to grow into people leadership as the

Formación

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience.
• 8+ 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.
• A track record of delivering complex software products through a team: planning and sequencing work, managing dependencies and risk, and meeting commitments.
• Strong hands-on engineering background in designing, building, and operating production systems such as web applications, APIs, and data-intensive backend services.
• Proficiency with modern AI-assisted development tools and agentic development practices, with sound judgment about where they help and where they need guardrails.
• Experience building and improving delivery practices, including agile planning, CI/CD, automated testing, and release management.
• Experience coaching and developing senior engineers, with a habit of delegating real ownership while holding a high bar for outcomes.
• Demonstrated ability to learn a new technology stack and codebase quickly and become effective in it.
• Excellent problem-solving skills, attention to detail, and accountability for production reliability.
• Strong teamwork and communication skills, able to explain status, tradeoffs, and risk clearly to both technical and business audiences.

Responsabilidades

• Own end-to-end execution of major initiatives: translate roadmap priorities into realistic plans, sequence work, and keep progress and risks visible to stakeholders.
• Break initiatives into well-scoped work and delegate clear ownership across the team, so delivery doesn’t depend on any one person.
• Help 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.
• Partner with senior engineers and engineering leadership to turn technical direction into concrete delivery plans, raising risks and tradeoffs early enough to inform technical decisions.
• Coach and mentor senior engineers on ownership, planning, estimation, and cross-team communication, supporting their growth in partnership with the Sr. Director of Engineering.
• Contribute 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.
• Work with Product, Data Engineering, Infrastructure, and QA to clarify scope and priorities, align dependencies and release timing, and set expectations the team can meet.
• Refine delivery practices, including planning cadence, work intake, definition of done, release readiness, and incident follow-up.
• Make delivery health measurable, using delivery metrics and observability data to track predictability and release quality, catch regressions early, and remove bottlenecks.
• Stay 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.
• Keep 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.

Conocimientos

Leadership

Delivery planning

Hands-on engineering

AI-assisted development

CI/CD & testing

Team coaching

Problem solving

Communication

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Datadog

Microsoft Azure

SQL Server

Snowflake

Descripción del empleo

SmartLight Analytics is seeking a Staff Software Engineer to drive execution across a portfolio that includes new products, modernization of platforms, and re-engineering of core workflows. You will work with senior engineers to translate priorities into predictable delivery and help build an AI-native delivery system that increases velocity.

This is a senior individual contributor role where impact comes from coaching and hands-on work, with opportunities to grow into people leadership as the