{"id":2366396,"url":"https://alion.io/job/enlyft-principal-software-engineer-backend","title":"Principal Software Engineer - Backend","company":{"id":5151,"name":"Enlyft","domain":"enlyft.com","url":"https://alion.io/company/enlyft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kirkland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":144000,"max_usd":288000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":14,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-27T23:00:22Z","board_verified":true,"closed_at":null,"days_open":90,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":90},"description":"About the role\nThe Principal Software Engineer leads our largest, most complex projects - making sure they meet a high bar for performance, scalability, and reliability. You'll work closely with other technical leaders, product managers, and cross-functional teams to keep solutions aligned with both business goals and technical realities.\nThis is a hands-on leadership role. You'll shape architecture, mentor engineers across backend, frontend, and our AI platform, and help bring emerging technology - especially agentic AI into the product in ways that genuinely move the needle for customers.\nHybrid Role: 3 days in office\nWhat you'll do\nDesign and deploy scalable, high-performance solutions across the stack (backend, frontend, and beyond), and establish the architectural standards for reliability, security, and performance the team builds against\nHelp build our AI-native platform - designing agentic workflows that plan, call tools, and run multi-step tasks in production, not just as prototypes\nStay close to customers - understand their real workflows, sit with their hardest problems, and carry that context back into the architecture and roadmap. \nLead and mentor engineers across disciplines, promoting best practices in coding, testing, and deployment\nPartner with product managers, engineers, and other stakeholders to define requirements and deliver integrated solutions that meet both business and technical needs\nOwn the lifecycle of complex, multi-area projects - ensuring timely, high-quality delivery, resolving hard technical issues, and managing technical debt with the judgment to keep momentum\nDocument key architectural designs and decisions, and share knowledge so the team can build, debug, and learn faster\nWhat we're looking for\nBachelor's degree in Computer Science or a related field, with 14+ years of experience, including 4+ years in a principal or architect-level role\nDeep expertise designing and implementing scalable, distributed systems, with strong command of software design patterns and architectural best practices\nExpertise in modern programming languages and frameworks (e.g., Python, Node.js, Java)\nStrong knowledge of database systems (e.g., SQL, NoSQL), RESTful APIs, and microservices architecture\nHands-on experience building and shipping GenAI or AI-agent capabilities in production - connecting models to tools, APIs, and search to run real multi-step workflows. Experience with retrieval and semantic search to ground models in real data is a strong plus, along with good instincts for keeping AI output accurate and cost and latency in check\nFluency with cloud platforms (AWS, Azure, or GCP) and containers (Docker, Kubernetes), and comfort with modern DevOps and CI/CD practices\nWhy join Enlyft\nA top-notch culture that is customer obsessed, transparent and constantly strives for excellence\nA top-notch team with colleagues that will help you learn and grow in a collaborative environment\nCompetitive pay and great benefits\nEnlyft is an equal opportunity employer and values diversity at our company. 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