SRE Engineer, Remote
Kantiv (formerly Joist AI)
IndiaremotePosted 20 days ago
Skill Required
SRE-EngineerRemote-Site-Reliability-EngineerSRE-System-EngineerRemote-DevOps-EngineerRemote-Operations-EngineerSite Reliability EngineerMachine LearningDockerObservabilityCD pipelinesEngineeringautomationdesignDevOpsCI/CDCloudRustAWSandTerraformCICDAIFulltime
Key highlights
- 2-3 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering
- AWS cloud environments preferred
- Junior level position
- AI-powered software company in AEC industry
- Two-week interview process
- Take home project component in interview process
Role overview
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. We're looking for a skilled Junior SRE Engineer to help build and scale our cloud infrastructure. The role involves working on automating deployments, managing AWS environments, and implementing Infrastructure as Code to ensure reliability, performance, and efficiency across our systems.
Responsibilities
- 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.
Requirements
- 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.
Nice to have
- 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
Additional details
- We hire for potential - even if you don't meet all the criteria listed here, we encourage you to apply
- The entire interview process typically takes two weeks.
- 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.