Job Summary:
We are looking for a visionary and technically strong Director of Software Engineering to lead our engineering teams in building scalable, secure, and high-performance software solutions. This role is pivotal in shaping our technical strategy, driving engineering excellence, and delivering innovative products in a fast-paced, tech-driven environment.
Responsibilities:
- Leadership & Strategy
- Define and execute the engineering roadmap in alignment with company goals and product strategy, and technical leadership.
- Lead and mentor tech leads, software and QA engineers across multiple teams.
- Foster a high-performance culture focused on innovation, accountability, and continuous improvement.
- Establish clear goals, metrics, and accountability frameworks for engineering teams
- Technical Oversight
- Help guide architectural decisions and ensure adherence to modern software engineering principles.
- Champion best practices in software design, testing, deployment, and operations.
- Evaluate and implement new technologies to improve scalability, reliability, and developer productivity.
- Project & Product Delivery
- Collaborate with leadership, design, and the Product Delivery Office to deliver high-quality software on time and within scope.
- Strong command of SDLC best practices, agile methodologies, and application lifecycle management
- Ensure robust monitoring, alerting, and incident response practices are in place.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of software engineering experience, including 5+ years in a leadership role.
- Proven experience leading engineering teams in a technical product or SaaS company.
- Excellent communication and cross-functional collaboration skills
- Deep understanding of cloud-native architectures (AWS and Azure), microservices, and distributed systems.
- Strong communication and collaboration skills, with the ability to influence across departments.
- Experience with Agile, Scrum, or SAFe methodologies.
Preferred Qualifications:
- Familiarity with security and compliance standards (e.g., FedRAMP, PCI, etc.)
- Background in AI/ML, data engineering, or platform engineering is a plus.
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