EKN Engineering

HQ
Irvine
133 Total Employees
Year Founded: 1990

Jobs at EKN Engineering

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8 Hours AgoSaved
In-Office
Irvine, CA, USA
Information Technology • Professional Services
Supports the Chief Operations Officer, Chief Revenue Officer, and VP of Strategic Accounts with calendar management, scheduling, communications, presentations, action-item tracking, project coordination, process improvement, and administrative support. The role requires prioritizing competing executive needs, synthesizing information, coordinating resources, maintaining confidentiality, and ensuring deadlines and deliverables are met in a fast-paced environment.
10 Days AgoSaved
In-Office
Irvine, CA, USA
Information Technology • Professional Services
Develop and operate full-stack SaaS applications, owning technical design, architecture, testing, security, observability, deployment, and incident response. The role includes database optimization, authentication, microservices, Kubernetes-based CI/CD, technical debt management, and on-call support. The developer will mentor engineers, collaborate with product and design teams, evaluate technologies, translate customer needs into solutions, and lead delivery of secure, reliable client-facing applications.
12 Days AgoSaved
In-Office
Irvine, CA, USA
Information Technology • Professional Services
Develop and maintain full-stack SaaS applications, including client-facing web products and containerized Kubernetes services. Build automated unit, integration, and end-to-end tests; deploy through CI/CD pipelines; and support production incidents through triage, root-cause analysis, and post-incident reviews. Collaborate with product managers and technical teams on requirements, estimates, architecture, and solutions. Apply secure data-handling practices and AI-assisted development while researching emerging technologies.
One Month AgoSaved
In-Office
Irvine, CA, USA
Information Technology • Professional Services
Build governed data models, tested analytics transformation layers, ETL pipelines, semantic datasets, and AI-ready data workflows. Partner with analysts, developers, and domain experts to define metrics, schemas, documentation, lineage, and validation frameworks. Support ML features, retrieval pipelines, unstructured data, and LLM output benchmarking while applying software engineering, compliance, and performance standards.