S

Seakeeper

Manufactures gyroscopic stabilizers for boats

Head of Software Engineering, DevOps & AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, software engineering, electrical engineering, or a related technical field is required.
  • At least 10 years of progressive experience in a business systems, IT, or technology leadership role, including cloud architecture or platform engineering and production experience with Microsoft Azure.
  • Hands-on experience with Container Apps, Azure Kubernetes Service or equivalent container orchestration, PostgreSQL or similar relational databases, Blob Storage, Key Vault, and Entra ID.
  • Direct experience shipping over-the-air or firmware-update infrastructure for a physical connected product, such as an automotive, marine, industrial IoT, or medical device product.
  • Infrastructure-as-code experience with Terraform.
  • Knowledge of networking fundamentals, including virtual network design using hub-and-spoke topology, VPN Gateway, TLS/mTLS, DNS, and load balancing.
  • Experience designing microservices architectures, RESTful APIs, and event-driven integration patterns.
  • Hands-on DevOps experience designing and implementing CI/CD pipelines with Azure DevOps or GitHub Actions.
  • Containerization and orchestration experience with Docker and Kubernetes.
  • Experience using observability tooling such as Azure Monitor, Log Analytics, and Application Insights, or equivalent platforms such as Datadog or Grafana/Prometheus.
  • Experience with progressive delivery patterns, including canary releases, blue-green deployments, feature flags, and automated rollback.
  • Applied AI and machine learning experience with technical depth, using Python and standard frameworks such as PyTorch or scikit-learn.
  • Demonstrated experience building custom machine learning models from the ground up for process-improvement or operational use cases, beyond configuring pre-built APIs or AutoML platforms.
  • MLOps experience, including model versioning, deployment, and production monitoring using MLflow, Azure Machine Learning, or an equivalent.
  • Data pipeline and ETL/ELT experience using Azure Data Factory, dbt, or an equivalent.
  • Experience with time-series data and predictive maintenance or anomaly-detection modeling is highly relevant to the telemetry use case.
  • Security and PKI experience, including certificate lifecycles, code-signing chains, and trust architecture; the role owns the signing chain for firmware updates reaching the fleet.
  • Secrets management experience with Azure Key Vault or HashiCorp Vault.
  • Direct experience managing engineers, including hiring, code review, and career development.
  • Experience managing budgets and external vendor relationships.
  • Comfort operating at the executive level and translating technical tradeoffs into business terms for quarterly technology reviews with the CEO, CFO, and CTO.
  • Ability to serve as both architect and builder on a small, growing team.
  • Track record partnering directly with embedded or firmware engineering teams across the device-to-cloud boundary.
  • Excellent communication, stakeholder management, and strategic planning skills.
  • Ability to adapt to ambiguity and triage competing priorities.
  • Ability to collaborate and recognize and develop ideas with others.

Responsibilities

  • Lead a team of software engineers responsible for platform services, APIs, and internal business solutions.
  • Provide technical direction, architectural oversight, and engineering standards across software initiatives.
  • Drive planning, prioritization, and execution through modern software development practices.
  • Recruit, develop, and mentor engineering talent while building a culture of accountability, collaboration, and continuous improvement.
  • Balance strategic leadership with hands-on engagement in architecture, design reviews, and technical decision-making.
  • Establish and mature DevOps practices across Business Technology, including CI/CD, infrastructure-as-code, monitoring, and incident management.
  • Define release governance, deployment standards, testing disciplines, and operational best practices.
  • Partner with Engineering to align development, security, and deployment processes.
  • Build and lead a high-performing DevOps capability to improve speed, stability, and reliability.
  • Track and improve platform performance metrics, including uptime, deployment frequency, and recovery times.
  • Establish the connected-product platform's security, networking, identity, and trust architecture in partnership with Embedded Systems Engineering.
  • Ensure platform scalability, reliability, and maintainability as the connected fleet and product portfolio grow.
  • Evaluate technology solutions and vendors and make strategic build-versus-buy recommendations.
  • Lead the identification and delivery of AI and machine learning solutions that improve products, operations, quality, and customer outcomes.
  • Develop predictive and prescriptive analytics capabilities using manufacturing and enterprise data.
  • Establish AI/ML development, deployment, governance, and lifecycle management practices.
  • Partner with business and functional leaders to prioritize high-value automation and intelligence initiatives.
  • Drive practical adoption of AI technologies that create measurable business impact across the organization.

Desired Qualifications

  • A master's degree in computer science, data science, or a related field is preferred.
  • Relevant industry certifications are preferred, such as 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 establishing a DevOps practice from scratch at a growth-stage or private-equity-owned manufacturing company.
  • Experience managing external technology vendors and evaluating build-versus-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.
  • Familiarity with IoT/embedded security threat models and mitigations.
  • Familiarity with data warehousing concepts and tooling such as Azure Synapse or Snowflake.
  • Familiarity with SRE practices, including SLOs/SLIs, error budgets, on-call rotations, and incident management.

About the Company

Seakeeper

Manufactures gyroscopic stabilizers for boats

Seakeeper makes gyroscopic stabilizers that reduce boat roll to improve stability and comfort on vessels of all sizes. It designs, sells, and installs stabilizers for new builds and retrofits, offering financing options and remanufactured units. The stabilization system uses a gyroscope-driven mechanism that actively counteracts rolling and is integrated by a network of dealers and yacht builders across recreational, commercial, and large yachts. Its goal is to make maritime travel smoother and safer by providing reliable stabilization solutions that can be used on both new builds and existing boats.

Company size
201-500
Company stage
Seed
Total funding
$830K
Headquarters
Leesport, PA
Founded
2002

Recently Posted Jobs

Explore more opportunities at Seakeeper

See more jobs