1 день назад
Sr Manager, Software Development & Engineering Lead (PL) (AI)
150 600 - 215 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr Manager, Software Development & Engineering Lead (PL) (AI): Leading multiple Agile and Lean engineering teams responsible for large-scale, business-critical technology platforms with an accent on platform modernization, operational excellence, and responsible GenAI adoption. Focus on guiding technical direction, improving platform reliability, developing engineering talent, and coordinating cross-functional delivery across product, architecture, SRE, QA, and business stakeholders.
Location: On-site in Austin, TX or Southlake, TX, United States
Salary: USD $150,600–$215,000 per year, plus bonus or incentive opportunities. Application deadline: August 16, 2026.
Company
is a financial services company developing and operating large-scale technology platforms for clients and business partners.
What you will do
- Lead multiple Agile and Lean software engineering teams responsible for platform delivery, modernization, operational support, and production ownership.
- Translate business priorities into engineering objectives and guide delivery execution across business-critical platforms.
- Provide technical leadership, influence architecture decisions, improve engineering standards, and navigate complex technical trade-offs.
- Improve platform reliability, operational health, production readiness, monitoring, documentation, and continuous improvement.
- Lead legacy platform modernization, migration planning, validation, deployment, and adoption of modern engineering practices.
- Partner with product, architecture, SRE, QA, program management, finance, talent acquisition, business stakeholders, and engineering groups.
Requirements
- Engineering management experience leading multiple software engineering teams.
- Strong systems engineering capability across scalable, resilient, secure, and maintainable applications, services, dependencies, and data flows.
- Experience leading SDLC practices covering planning, delivery, testing, validation, documentation, deployment, and operational readiness.
- Ability to use generative AI or AI-assisted engineering practices responsibly across planning, delivery, quality, documentation, automation, modernization, and operational efficiency.
- Strong stakeholder management, communication, business judgment, and data-informed decision-making skills.
- Experience developing managers, technical leads, and engineers through coaching, mentorship, feedback, career development, and talent planning.
Nice to have
- Experience with Java, .NET, cloud platforms, containers, microservices, relational databases, NoSQL, and messaging platforms.
- Experience leading large, complex organizations with onshore and offshore delivery models.
- Familiarity with GitHub Copilot, Claude Code, or similar AI-assisted engineering tools.
- Experience creating scalable knowledge-sharing mechanisms such as champion forums, playbooks, reusable practices, or learning communities.
Culture & Benefits
- In-office collaboration with a commitment to working together in person.
- Health, dental, and vision insurance.
- 401(k) with company match and employee stock purchase plan.
- Paid vacation, volunteering time, parental leave, and family-building benefits.
- Tuition reimbursement and a 28-day sabbatical after five years for eligible positions.
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