About the job
Join Our Team
At SkyLabs AI Inc., we are pioneering the next wave of advancements in artificial intelligence. Headquartered in the US, our focus lies in applied AI research aimed at intelligent reasoning. Our expertise in neurosymbolic AI allows us to tackle some of the most challenging issues in software engineering. We are a diverse team of leading researchers and engineers committed to developing the platforms and intelligent agents that will define the future of software. If you are enthusiastic about constructing innovative intelligent systems and aspire to leave a significant mark in the industry, we invite you to be part of our mission.
Your Role
We are on the lookout for a talented Senior DevOps Engineer to become an integral part of our forward-thinking team, driving transformation within the AI sector. In this pivotal position, you will optimize our development and operational workflows, ensuring seamless and efficient application performance. This role suits those who excel in dynamic environments and are driven to harness technology to boost productivity. Working alongside our development and IT teams, you will establish reliable deployment pipelines, automate repetitive tasks, and enhance system performance. Your skills will be crucial in fostering team collaboration, facilitating continuous integration and continuous delivery (CI/CD), and elevating application dependability. At SkyLabs AI, we value a culture of relentless innovation and improvement, and we are excited to welcome a DevOps expert who shares our aspirations. Your work will directly influence our capacity to deliver state-of-the-art AI solutions to our clients while upholding exceptional standards of quality and efficiency. If you are ready to embrace new challenges and make a profound impact in the realm of AI and technology, we encourage you to apply.
Key Responsibilities
- Design and implement scalable CI/CD pipelines to enhance software delivery.
- Monitor and improve system performance, ensuring optimal application availability and reliability.
- Partner with development teams to integrate automated testing and deployment methodologies.
- Oversee cloud infrastructure and services, ensuring efficient and cost-effective resource allocation.
- Apply security best practices throughout the DevOps lifecycle and infrastructure as code.
- Diagnose and resolve complex infrastructure challenges to minimize downtime and sustain service quality.
- Provide guidance and support to development teams on best practices for CI/CD and infrastructure management.
