seakeeper
Head of Software Engineering, DevOps, & AI
- Compensation
- Not disclosed
- Location
- Fort Myers, Florida, United States
- Work setup
- Onsite
- Seniority
- C level
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor’s degree in computer science, software engineering, electrical engineering, or a related technical field required.
- Experience working in business systems, IT, or technology leadership role with 10+ years of progressive experience including: Cloud architecture or platform engineering, with production experience on
- Familiarity with the following: IoT/embedded security threat models and mitigations Data warehousing concepts and tooling (Azure Synapse, Snowflake, or similar) SRE practices — SLOs/SLIs, error budget
- Comfortable operating at the executive level — this role feeds directly into quarterly technology reviews with the CEO, CFO, and CTO, and needs to translate technical tradeoffs into business terms
- Comfortable being the architect and the builder at once — this is a small, growing team, not one with a bench to hand things off to
- Track record partnering directly with embedded or firmware engineering teams across the device-to-cloud boundary.
- Excellent communication, stakeholder management, and strategic planning skills
- Flexible and adaptable with the ability to deal with ambiguity and triaging competing priorities
- Openness to collaboration in all scenarios – you bring good ideas to the table, but can also recognize them from others
- Flexible and agile with the ability to pivot quickly to changing circumstances and business demands
- Changemaker with a bias for positive action
Nice to have
- Master’s degree in computer science, data science, or a related field preferred
- Relevant industry certifications preferred – Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate, Certified Kubernetes Administrator (CKA), or equivalent
- Infrastructure-as-code experience with Bicep or ARM templates
- Experience in marine, automotive, or industrial equipment connected-product platforms
- Prior experience standing up DevOps practice from scratch at a growth-stage or PE-owned manufacturing company
- Experience managing external technology vendors and evaluating build-vs-buy tradeoffs on live platform decisions
- Contribution to open-source tooling in the DevOps, MLOps, or IoT space
- Experience operating in a multi-site or distributed manufacturing environment
Full description
WHAT YOU’LL DO
Seakeeper is revolutionizing the marine industry through cutting-edge technologies in a fast-moving, innovation-driven organization. As our Director of Software Engineering, DevOps & AI, you'll lead the development of the cloud platform, building the infrastructure, engineering practices, and AI capabilities that power the next generation of the Seakeeper experience. You'll partner closely with leaders across Engineering, Product, Manufacturing, and Business Technology to deliver scalable platforms, accelerate digital innovation, and transform data into business value. You'll make an immediate impact across Seakeeper by:
Software Engineering
- Leading a team of software engineers responsible for platform services, APIs, and internal business solutions.
- Providing technical direction, architectural oversight, and engineering standards across all software initiatives
- Driving effective planning, prioritization, and execution through modern software development practices.
- Recruiting, developing, and mentoring engineering talent while building a culture of accountability, collaboration, and continuous improvement
- Balancing strategic leadership with hands-on engagement in architecture, design reviews, and technical decision-making
DevOps
- Establishing and maturing DevOps practices across Business Technology, including CI/CD, infrastructure-as-code, monitoring, and incident management
- Defining release governance, deployment standards, testing disciplines, and operational best practices
- Partnering with Engineering to align development, security, and deployment processes
- Building and leading a high-performing DevOps capability that improves speed, stability, and reliability
- Tracking and improving key platform performance metrics, including uptime, deployment frequency, and recovery times
Cloud Architecture & Connected Product Platform
- Establishing the platform's security, networking, identity, and trust architecture in partnership with Embedded Systems Engineering
- Ensuring scalability, reliability, and maintainability as the connected fleet and product portfolio grow
- Evaluating technology solutions and vendors, making strategic build-versus-buy recommendations
Applied AI & Machine Learning
- Leading the identification and delivery of AI and machine learning solutions that improve products, operations, quality, and customer outcomes
- Developing predictive and prescriptive analytics capabilities using manufacturing, and enterprise data