Engineering Jobs 2026 (Now Hiring) – Smart Auto Apply

Overview

We are seeking a Director of Engineering to lead and scale high-performing, cross-functional engineering teams building reliable, scalable software. This is a hands-on leadership role that blends technical expertise with strong people leadership.You will be responsible for driving engineering excellence, shaping technical direction, and fostering a culture of ownership, collaboration, and continuous improvement. Working closely with Product and other leaders, you will help define strategy, influence roadmaps, and ensure the successful delivery of impactful solutions.This role also includes overseeing a dual-platform environment-maintaining and supporting legacy systems (including FoxPro-based applications) while leading a long-term modernization effort toward a scalable, web-based architecture.

Job Responsibilities

• Lead, mentor, and manage software engineers across one or more cross-functional teams, providing technical guidance, coaching, and support for career development.

• Promote a collaborative, accountable culture with high levels of ownership and continuous improvement.

• Coordinate sprint and release planning while championing effective agile practices.

• Collaborate with Product Management and cross-functional peers to define product strategy, influence roadmap decisions, and ensure timely delivery of high-quality solutions.

• Provide architectural and technical leadership, including guiding design discussions, reviewing code, and helping engineers solve complex technical challenges.

• Write code as needed to model best practices, support key initiatives, or unblock teams.

• Oversee both legacy and modern platforms, ensuring stability of FoxPro-based systems while driving migration to web-based technologies.

• Partner with DevOps and Platform teams to ensure successful deployment, monitoring, and maintenance of applications.

• Ensure platform reliability, performance, scalability, and security.

• Champion the adoption of modern tools, including AI-assisted development, to improve productivity and quality.

• Define and track engineering KPIs to assess team and platform performance and guide continuous improvement.

• Communicate technical progress, risks, and tradeoffs clearly to stakeholders.

• Participate in high-priority escalations or customer-facing discussions as needed.

• Lead engineering hiring efforts, including recruiting strategy, interviewing, and onboarding.

• Lead incident response efforts and ensure post-incident reviews drive long-term improvements.

• Establish and evolve engineering processes, standards, and best practices.

• Promote strong documentation practices and knowledge sharing across teams.

Success Criteria

Team Performance & Development

• Engineering teams consistently deliver high-quality software with clear ownership and accountability.

• Engineers demonstrate growth in technical and leadership capabilities.

• Team culture reflects strong collaboration, accountability, and continuous improvement.

• Hiring pipelines are healthy, and new engineers onboard effectively.

Delivery & Execution

• Agile practices are effective and outcome-focused.

• Sprint goals and commitments are consistently met with predictable delivery.

• Backlogs are well prioritized and aligned with product strategy.

Technical Excellence & Platform Health

• Architecture decisions are scalable, maintainable, and well-communicated.

• Code quality is high with consistent application of best practices.

• Legacy systems remain stable while modernization progresses effectively.

• Critical systems are reliable, performant, and secure.

• Incidents are resolved quickly with meaningful post-incident improvements.

Product Collaboration & User Focus

• Engineering is actively involved in roadmap discussions and product planning.

• Teams understand user impact and business value.

• Decisions balance speed with long-term maintainability.

Operational & Organizational Impact

• Engineering KPIs are defined, tracked, and improving.

• Modern tools and AI are thoughtfully adopted to improve productivity.

• Stakeholders are informed and confident in engineering execution.

• Processes and documentation are consistent, accessible, and scalable.