软件工程总监
Director of Software Engineering
职位描述
Staritas 正在寻找一位软件工程总监，负责领导、现代化并扩展其工程团队。该职位负责软件交付、团队领导、平台现代化、DevOps 成熟度、生产可靠性、软件质量以及负责任的 AI 采用。
该总监将领导工程经理、技术负责人和软件团队，打造安全、可扩展、与业务对齐的企业应用。该领导者将与产品、架构、数据、安全、基础设施、运营及业务相关方合作，将战略转化为清晰的路线图和可衡量的结果。
主要职责
- 领导、指导并发展高绩效的软件工程团队。
- 负责交付成果，包括路线图执行、质量、可靠性、团队表现和工程效率。
- 与 CTO 和技术领导者合作制定工程策略、现代化、AI 能力提升、SDLC 改进和交付运营。
- 与产品和业务相关方合作，优先安排路线图，平衡功能交付与技术健康，并确保工作与业务目标一致。
- 建立工程标准、交付指标、敏捷实践、质量门禁、文档期望和发布纪律。
- 推动遗留应用、平台、开发实践、部署模型和工作流程的现代化。
- 通过 CI/CD、自动化测试、安全开发、可观测性、事件管理和持续改进提升交付效率。
- 减少技术债务、平台碎片化、手动流程、重复缺陷和生产不稳定。
- 建立问责制、协作、所有权、学习、质量和运营卓越的文化。
- 领导招聘、入职、绩效管理、职业发展、继任计划和团队健康计划。
AI 能力提升
- 在软件工程中推动负责任的 AI 采用。
- 评估并指导使用 Claude、ChatGPT、Gemini、GitHub Copilot、Cursor 和 AI 驱动的 IDE 等工具。
- 帮助团队利用 AI 进行代码生成、审查、重构、测试、文档编写、故障排查、研究和工作流优化。
- 制定涵盖数据保护、合理使用、人工审查、可审计性、知识产权保护、成本管理及风险缓解的责任 AI 标准。
- 与架构、安全、合规、法律、数据和业务相关方合作，确保 AI 的合规性和安全性。
查看英文原文
About the Role
Staritas is seeking a Director of Software Engineering to lead, modernize, and scale its engineering organization. This role is responsible for software delivery, team leadership, platform modernization, DevOps maturity, production reliability, software quality, and responsible AI adoption.
The Director will lead engineering managers, technical leads, and software teams building secure, scalable, business-aligned enterprise applications. This leader will partner with Product, Architecture, Data, Security, Infrastructure, Operations, and business stakeholders to turn strategy into clear roadmaps and measurable outcomes.
Key Responsibilities
- Lead, coach, and develop high-performing software engineering teams.
- Own delivery outcomes, including roadmap execution, quality, reliability, team performance, and engineering effectiveness.
- Partner with the CTO and technology leaders on engineering strategy, modernization, AI enablement, SDLC improvements, and delivery operations.
- Work with Product and business stakeholders to prioritize roadmaps, balance feature delivery with technical health, and align work to business goals.
- Establish engineering standards, delivery metrics, agile practices, quality gates, documentation expectations, and release discipline.
- Drive modernization of legacy applications, platforms, development practices, deployment models, and workflows.
- Improve delivery through CI/CD, automated testing, secure development, observability, incident management, and continuous improvement.
- Reduce technical debt, platform fragmentation, manual processes, recurring defects, and production instability.
- Build a culture of accountability, collaboration, ownership, learning, quality, and operational excellence.
- Lead hiring, onboarding, performance management, career development, succession planning, and team health initiatives.
AI Enablement
- Champion responsible AI adoption across software engineering.
- Evaluate and guide use of tools such as Claude, ChatGPT, Gemini, GitHub Copilot, Cursor, and AI-enabled IDEs.
- Help teams use AI for code generation, reviews, refactoring, testing, documentation, troubleshooting, research, and workflow optimization.
- Develop responsible AI standards covering data protection, acceptable use, human review, auditability, IP protection, cost management, and risk mitigation.
- Partner with Architecture, Security, Compliance, Legal, Data, and business stakeholders to ensure AI use aligns with enterprise governance.
Required Qualifications
- Bachelor’s or master’s degree in Computer Science, IT, Engineering, or equivalent experience.
- 12+ years of progressive technology experience.
- 5+ years of engineering leadership experience.
- Proven experience leading software delivery, engineering execution, production reliability, and technical quality.
- Experience hiring, coaching, and developing engineering managers, technical leads, senior engineers, and individual contributors.
- Strong background in enterprise applications, APIs, integrations, cloud platforms, DevOps, CI/CD, automated testing, and production support.
- Knowledge of secure SDLC, agile delivery, observability, release management, databases, cloud-native delivery, cybersecurity, and operational resilience.
- Hands-on experience using AI tools to improve engineering productivity, quality, documentation, testing, or troubleshooting.
Preferred Qualifications
- Experience modernizing enterprise platforms and reducing technical debt.
- Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
- Experience with SaaS, ERP, CRM, workflow, analytics, data platforms, or reporting systems.
- Familiarity with SAFe, ITIL, Agile, Scrum, Kanban, or similar frameworks.
- Experience implementing engineering operating models, delivery metrics, architecture reviews, reusable patterns, and documentation standards.
- Experience evaluating or implementing AI platforms, LLM integrations, AI agents, RAG, MCP servers, or AI governance practices.
Success Measures
- Engineering teams deliver faster, with higher quality, predictability, and reliability.
- Teams are engaged, accountable, and operating with clear goals.
- Stakeholders have confidence in delivery transparency and execution.
- Engineering standards, DevOps practices, secure development, API patterns, and AI usage guidelines are consistently applied.
- Technical debt, defects, manual effort, and production instability are reduced.
- AI adoption is practical, secure, governed, and measurable.
What We Offer
- Competitive salary and performance bonus program
- Fully remote work environment
- Comprehensive benefits package including 401k match
- 19 days of PTO per year; 10 holidays per year
- Opportunity to work in a mission-driven organization where your work directly shapes clarity, confidence, and better outcomes across healthcare
Travel
Up to 10% travel, based on business needs. While our roles are 100% remote, we do get together a few times a year for up to one week. Employees are given amplenoticeand attendance is expected.
Work Environment
This position operates in a professional work environment and requires the use of standard office equipment such as a computer, keyboard, mouse, webcam, and phone.
Equal Opportunity / Affirmative Action Statement
Staritas is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or veteran status.
As a federal contractor, Staritas complies with all applicable federal, state, and local laws regarding nondiscrimination and affirmative action. We are committed to creating a workplace that is fair, inclusive, and grounded in merit-based decision-making.
Accommodation Statement
If you need reasonable accommodation to apply for this position, please contact the recruiter.
Pay Transparency Statement
Staritas posts compensation ranges and benefits for all open roles. The compensation range for this position is $155,000 - $185,000, plus performance bonus and a comprehensive benefits package. Compensation offered will depend on factors including experience, skills, geographic location, and internal equity. Staritas does not retaliate against employees or applicants for discussing compensation.
Benefits Statement
Staritas offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our employees. Benefits include medical, dental, and vision coverage; retirement savings plans with company contributions; paid time off and company holidays; paid parental and family leave; and access to employee assistance and wellness resources. Additional benefits include life and disability insurance, professional development opportunities, and flexible work arrangements.
Learn more about us by visitingwww.staritas.com.
Originally posted on Himalayas