Senior Software Engineer

Posted 3 days ago

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Oversee the architecture and advancement of essential platform services spanning multiple teams and products.

β€’ Create resilient and scalable systems that align with the long-term platform vision, ensuring interoperability and organizational impact.

β€’ Identify potential operational risks and implement safeguards prior to production issues arising.

β€’ Evaluate engineering investments through data and outcomes, adjusting direction as needed.

β€’ Steer technical transitions, platform modernization efforts, and migration initiatives while minimizing disruptions.

β€’ Generate architectural guidance, technical standards, and reference designs.

β€’ Set standards for operational reliability, security, and AI governance.

β€’ Mentor and influence engineers across various teams.

β€’ Promote responsible adoption of AI-driven engineering methodologies.

β€’ Enhance platform reliability, innovation, engineering standards, and value for partners, vendors, and customers.


⛳️ Requirements

β€’ Extensive experience in designing and evolving large-scale distributed systems.

β€’ Advanced knowledge in software architecture and systems design.

β€’ Proven capability to assess technical trade-offs related to scalability, reliability, cost, latency, and maintainability.

β€’ Experience in designing platforms and services that support multiple teams and business functions.

β€’ Significant experience in identifying and mitigating systemic risks.

β€’ Strong technical communication skills along with experience in creating architectural documentation and engineering standards.

β€’ Ability to achieve technical alignment across various stakeholder groups.

β€’ In-depth understanding of AI capabilities, limitations, governance, and responsible implementation practices.

β€’ Advanced proficiency in utilizing AI-powered tools for software development while ensuring quality and security.

β€’ Experience in reviewing, validating, and governing AI-assisted engineering solutions.

β€’ Solid understanding of platform reliability, observability, security, and operational excellence.

β€’ Experience in leading large-scale modernization projects and technical migrations.

β€’ Knowledge of agentic workflows, orchestration patterns, and AI-native software development methodologies.

β€’ Demonstrated success in enhancing engineering effectiveness through automation and intelligent systems.

β€’ Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

β€’ Valid authorization to work in the United States.

β€’ Candidates must successfully complete pre-employment ID verification, reference checks, and qualification assessments.


🏝️ Benefits

β€’ Health and disability coverage.

β€’ Retirement plans with employer matching.

β€’ Flexible leave options.

β€’ Employee assistance programs.

β€’ Opportunities for professional development.

β€’ Wellbeing resources available.

β€’ Access to an internal development hub.

β€’ Learning & Development trainers provided.

β€’ AI-powered tools accessible to employees.

β€’ Opportunities for cross-continent collaboration.

β€’ 401(k) with company match.

β€’ Medical, dental, and vision coverage.

β€’ Employee Assistance Program (EAP).

β€’ Employer-paid life, AD&D, short-term disability, and long-term disability insurance.

β€’ Flexible Open PTO.

β€’ Paid sick leave.

β€’ Paid parental leave.

β€’ RTD EcoPass available for eligible Colorado-based employees.

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