Website:
kantiv.com
Job details:
About The Company
Joist AI is a technology company revolutionizing the way professionals in the architecture, engineering, and construction (AEC) industry manage marketing and revenue operations. Our AI-powered software streamlines workflows, making it easier for teams to collaborate, innovate, and succeed.
About The Role
We’re looking for a skilled
Junior SRE Engineer to help build and scale our cloud infrastructure. You’ll work on automating deployments, managing AWS environments, and implementing Infrastructure as Code to ensure reliability, performance, and efficiency across our systems.
What you'll do
- Design, implement, and maintain Infrastructure as Code (IaC) to ensure consistency, scalability, and repeatability.
- Streamline release and deployment workflows, ensuring smooth, structured, and predictable releases.
- Enhance observability, tracing, and monitoring across systems for improved performance and reliability.
- Drive automation initiatives across infrastructure, access management, and database operations.
- Optimize cloud resource utilization and costs, ensuring efficient use of compute, storage, and database resources.
- Improve and maintain CI/CD pipelines, ensuring faster, safer, and more reliable deployments.
- Collaborate closely with engineering teams to ensure infrastructure supports evolving application and data needs.
What You’ll Bring
- 2-3 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
- Experience with cloud environments (AWS preferred) and automation frameworks.
- Understanding of IaC principles, CI/CD systems, and containerization workflows.
- A focus on observability, performance optimization, and cost efficiency.
- Strong problem-solving, collaboration, and ownership mindset.
- Excellent communication and interpersonal skills.
- We hire for potential - even if you don't meet all the criteria listed here, we encourage you to apply
Experience we’d be particularly excited about
- You love experimenting
- You have experience or interest in machine learning
- You have experience or interest in RevOps, sales and marketing roles or software platform
What to expect
We conduct a rigorous interview process based on integrity, talent, and drive. We trust our teammates from day one and move quickly to evaluate whether you are fit for the role. The entire interview process typically takes two weeks. Here's what to expect:
- A 30 minute Zoom meeting to talk about Joist AI, your background, and answer any questions about the role.
- A 30 minute Zoom meeting with another one of our team members to hear more about your experience and how you'd approach working in the role.
- A take home project to assess your functional expertise for the role you're applying for.
- A 60 minute Zoom call to review your project and answer any outstanding questions.
Click on Apply to know more.
