AI-First Senior Site Reliability Engineer $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks ($50 USD/hour)
Not accepting applications on crossover.com at this time.
Description
Are you an engineer who is passionate about pioneering AI and cloud technology? IgniteTech is seeking an exceptional professional who thrives on transforming challenges into innovative solutions. This role is for someone with a keen understanding of AWS and Azure environments and a drive for continuous learning and improvement.
IgniteTech is not just another player in the tech industry, and this is more than monotonous site reliability engineering; we are a trailblazer in integrating AI into SaaS product development and operations. Here, your impact extends beyond maintaining service quality and cost optimization; you are a key player in advancing our position at the cutting edge of the tech industry.
In this dynamic role, you will dive deep into the operational and developmental aspects of our flagship products like Everest. Your responsibilities will range from developing new functionalities and rolling out upgrades, to meticulous database management and efficient troubleshooting of SaaS issues. Your technical acumen will be crucial in ensuring our products exceed performance expectations.
You will lead initiatives for optimizing cloud service costs, significantly contributing to profitability. By integrating AI technologies into operational processes, you will shape how we harness AI to improve our SaaS offerings. Ultimately, your work will enhance customer satisfaction, trust, and loyalty while solidifying IgniteTech’s reputation as a leader in AI-integrated SaaS solutions.
If you are ready to leverage your expertise in a role where innovation is the norm, apply today!
What you will be doing
- Lead continuous improvements in key products like Everest, ensuring their optimal performance and driving cost optimization.
- Tackle complex customer issues and swiftly manage outages across our SaaS portfolio, prioritizing system integrity and user satisfaction.
- Contribute to our AI-first strategy by integrating AI technologies in daily operations and to advance product capabilities.
- Engage in cross-training for products such as Coretrac to enhance versatility and support capabilities across different products.
What you will NOT be doing
- Routine, repetitive tasks will not be part of your day; you will embrace new challenges and innovation daily.
- Forget about navigating corporate bureaucracy or working in isolation; our team thrives on a flat and collaborative model.
- Managing just one product? Think bigger – our range of over 50 SaaS products ensures a dynamic work experience.
Key responsibilities
- Lead the management and optimization of AWS and Azure cloud environments, directly impacting the reliability and efficiency of our diverse SaaS product range.
- Collaborate closely with developers, architects, and QA engineers to foster innovation in over 50 product developments, embodying our AI-first approach.
Candidate requirements
- At least 5 years of experience in managing and optimizing cloud environments, specifically AWS and Azure
- Proficiency in C# and ASP.net, with a minimum of 3 years of hands-on experience in software development
- Ability to integrate AI technologies into operational and development processes
- Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or a related field
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
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Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
