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We are building a cloud-native platform with AI as the baseline. AI is not a feature layer. It defines how systems are designed, how data is structured, and how engineers think before building. AI in the product starts from system design and data modeling. Engineers here are builders who own end-to-end delivery. You think about data schema, scale, and distributed systems before using AI tools. You own what you build including development, testing, release, and production operations. Tasks Implement well-scoped cloud services, APIs, and features with guidance Contribute to data models and service components for AI-enabled workflows Write and maintain unit and integration tests for owned features Participate in CI/CD pipelines and deployment processes Support production systems, troubleshoot issues, and contribute to fixes Follow established patterns for scalability, reliability, and security Use AI tools to accelerate development while learning engineering fundamentals Collaborate with senior engineers on design and implementation Qualifications: University degree in computer science, mathematics, IT or relevant professional experience with qualified technical training - 4 to 5 years of relevant experience - Strong fundamentals in distributed systems and cloud-native architecture - Experience building and operating production services - Understanding of scalability, reliability, and security - Experience with automation, CI/CD, and service ownership - Ability to use AI tools effectively while applying engineering judgment Working under minimal supervision Takes responsibility proactively Interested? Apply now via our online applicant portal! Company Profile: Work is now defined by what we do, not where we go. The widely distributed workforce is here to stay. IGEL allows workers to thrive, regardless of the environment, while organizations retain full management, control, and security of user endpoints. IGEL secures and simplifies digital workspaces in healthcare, finance, retail, higher education, government, and manufacturing organizations around the world. All we are missing is: YOU! IGEL’s vision is to transform the way the world works, creating better outcomes for people, organizations, and our planet. We deliver on achieving this vision by having the best people, an innovative product, and a plan delivered with passion. Be bold. Take risks. Imagine a better way to work. If we just described you, then we really need to talk. Please note that we are unable to hire applicants residing in countries outside our legal entity countries. Please note that IGEL does not currently have a sponsorship license and is regrettably unable to offer sponsorship. We celebrate tolerance and diversity, and we are committed to building teams that represent a variety of backgrounds, skills and perspectives. IGEL is an equal opportunity employer and makes employment decisions on the basis of merit. We want the best available person in every job. Our policy prohibits unlawful discrimination based on color, creed, sex, religion, marital status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, or any other consideration made unlawful by federal, state or local laws.
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Fort Lauderdale, USA
Implement well-scoped cloud services, APIs, and features with guidance
Contribute to data models and service components for AI-enabled workflows
Write and maintain unit and integration tests for owned features
Participate in CI/CD pipelines and deployment processes
Support production systems, troubleshoot issues, and contribute to fixes
Follow established patterns for scalability, reliability, and security
Use AI tools to accelerate development while learning engineering fundamentals
Collaborate with senior engineers on design and implementation
University degree in computer science, mathematics, IT or relevant professional experience with qualified technical training
- 4 to 5 years of relevant experience
- Strong fundamentals in distributed systems and cloud-native architecture
- Experience building and operating production services
- Understanding of scalability, reliability, and security
- Experience with automation, CI/CD, and service ownership
- Ability to use AI tools effectively while applying engineering judgment
Working under minimal supervision
Privately held endpoint OS software company serving enterprises using SaaS, DaaS, VDI, and secure browsing.
Visit company websiteJobs and hiring trendsFull-time
Mid · 4+ years experience
Hybrid
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