IT Support Engineer
AssuredFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Compensation will be paid in the range of $74k - $90k plus a 10% yearly bonus, along with Restricted Stock Units.
This is an onsite position in the Tulsa office.
Required skills include strong background in cloud identity management (SSO, SAML 2.0, MFA), experience with MDM automation (e.g., Google MDM, Kandji, Intune), administering Windows/MacOS/Linux systems, proficiency with ticketing systems and SaaS management, and prior MDR/XDR experience.
Benefits include industry competitive pay, Restricted Stock Units, health insurance options (HDHP, PPO, vision, dental), employer HSA contributions, paid parental leave, paid life insurance, short/long-term disability, Teladoc, 401(k) with 100% match up to 4% of salary, generous PTO, cell phone reimbursement, tuition reimbursement, Calm app subscription, MetLife Legal, and $200/month Commuter FSA.
Strong candidates have a Bachelor's degree or equivalent with 6+ years of IT systems experience, prior large enterprise experience, project-oriented engineering background, NOC/SOC experience, and the ability to self-start, collaborate, problem-solve, and pass a background check.
Utilizes wasted energy for computing power
Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.