Senior Manager, Software Engineering

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

📋 Description

• Lead high-performing teams that manage mission-critical, data-intensive platforms.

• Empower engineers and technical leads to create scalable and resilient solutions.

• Integrate AI as a fundamental element of the software development lifecycle.

• Achieve a balance between platform stability and delivery speed.

• Cultivate a culture of accountability, autonomy, and ongoing improvement across engineering, DevOps, product, and compliance teams.

⛳️ Requirements

• 8–12+ years of experience in software engineering or systems development.

• Over 5 years of experience leading complex deliveries through other engineers, whether through formal or informal leadership.

• A proven history of guiding engineering teams that have effectively utilized AI tools (such as Copilot, Cursor, Claude, Kiro, etc.) as a primary component of the SDLC, demonstrating productivity improvements in code generation, code review, and testing.

• Hands-on experience with large, high-transaction data systems, particularly with RDBMS-centric architectures (Oracle is highly preferred).

• Demonstrated experience in:

• Production change control.

• Incident response.

• Data integrity and operational risk management.

• Working in regulated or audit-bound environments (experience with SOC 2-like rigor is a significant advantage).

• Nice To Have:

• Experience in insurance, fintech, or government-adjacent systems.

• Familiarity with cloud and legacy hybrid environments.

• Experience guiding teams through role ambiguity and changes in operating models.

• Previous responsibility encompassing engineering, DevOps, and platform operations.

• Technical Skills:

• Experience designing systems that fully capitalize on AI benefits, using agentic workflows, AI orchestration, prompt and context engineering, RAG, and MCP.

• Ability to evaluate architectural trade-offs with objectivity.

• Proficient in asking the right technical questions of tech leads.

• Understanding of database-centric performance and scalability factors.

• Actively engaging in risk, incident, and readiness discussions.

• Leadership Skills:

• Proactively hires and upskills talent to excel in the fast-evolving AI landscape, normalizing AI-assisted development as a standard expectation.

• Fosters autonomy through clarity rather than control.

• Demonstrates strong judgment in delegation, intentionally deciding when to lead, when to empower, and when to intervene.

• Comfortable with tech leads managing design and implementation while providing constraints, risk signals, and organizational context.

• Able to remain calm when:

• Expectations are misaligned.

• Authority boundaries are in flux.

• Organizational memory is inconsistent.

• Actively coaches and develops senior engineers.

• Identifies burnout and sustainability risks early.

• Capable of "managing up" without becoming adversarial.

• Communicates openly while demonstrating emotional intelligence.

• Operational Excellence:

• The candidate must excel at:

• Transforming ambiguity into clear, minimal operating guidelines.

• Maintaining momentum when priorities conflict.

• Balancing long-term platform health with short-term delivery pressures.

• Coordinating effectively across product, DevOps, security, and compliance without generating friction.

🏝️ Benefits

• Health Insurance

• Retirement Plan

• Disability benefits

• Paid Time Off