Head of Software Engineering, DevOps, & AI

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 - Establishing AI/ML development, deployment, governance, and lifecycle management practices - Partnering with business and functional leaders to prioritize high-value automation and intelligence initiatives - Driving the practical adoption of AI technologies that create measurable business impact across the organization WHAT YOU NEED TO SUCCEED Do you have a positive attitude, an eagerness to learn, and the ability to hustle in a fast-paced environment? Then Seakeeper is the place for you! Here are a few other specifics you’ll need to have to succeed. MUST-HAVES - 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 Microsoft Azure - Hands-on experience with Container Apps, Azure Kubernetes Service (AKS) or equivalent container orchestration, PostgreSQL or similar relational databases, Blob Storage, Key Vault, and Entra ID - Direct experience shipping OTA or firmware-update infrastructure for a physical connected product – automotive, marine, industrial IoT, medical device, or similar - Infrastructure-as-code experience with Terraform - Networking fundamentals — virtual network design (hub-and-spoke topology), VPN Gateway, TLS/mTLS, DNS, and load balancing - Experience designing microservices arch…