Site Reliability Engineer (SRE)
Hatch IT
United States
November 20, 2025
Apply NowSite Reliability Engineer (SRE)
Remote
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Full Time /
Remote
hatch I.T. is partnering with CardioOne to find a Site Reliability Engineer (SRE) to join their team. See deteails below:
About the Role:
CardioOne is seeking a highly skilled Site Reliability Engineer (SRE) to ensure the reliability, scalability, security, and performance of their production systems and services. The SRE will bridge the gap between software development and operations, implementing automation, monitoring, and best practices to enable rapid, reliable delivery of applications. You will report directly to the Senior Director of Engineering.
About the Company:
CardioOne partners with independent cardiologists to provide innovative solutions that improve patient outcomes and reduce costs. Their platform helps their physician partners thrive in today’s fee-for-service environment and prepare for success in value-based care. In February 2024, they partnered with WindRose Health Investors as well as top physician services and payor executives to grow their team and invest in their next phase of growth.
CardioOne offers a magnificent work environment, good working conditions, and competitive pay. They offer medical, dental, vision, and a 401k plan with a match to benefit eligible employees. They offer PTO (Personal Time Off) and sick time to full-time employees. They take pride in creating a culture of employee engagement that translates into an exemplary patient experience. Join them in their mission to positively impact US cardiology.
Responsibilities:
- Ensure high availability, scalability, and performance of production systems.
- Implement and maintain SLIs, SLOs, and SLAs for critical services.
- Conduct capacity planning and performance tuning.
- Automate infrastructure provisioning using IaC tools such as Terraform and Terragrunt , ansible
- Develop automation to minimize manual operations and improve deployment workflows.
- Build CI/CD pipelines to support rapid and reliable deployments.
- Design and maintain monitoring, logging, and alerting systems (Datadog).
- Participate in on-call rotations and lead incident response efforts.
- Perform root-cause analysis and develop postmortems to prevent recurring issues.
- Manage cloud infrastructure (AWS, Azure) and container orchestration platforms (Kubernetes, ECS).
- Optimize system architecture for reliability and fault tolerance.
- Implement best practices for security, networking, and service resilience.
- Work closely with development teams to design reliable microservices and distributed systems.
- Advocate for SRE principles and drive operational excellence across engineering teams.
- Mentor engineers on reliability practices, tooling, and automation strategies.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 3–7 years of experience in SRE, DevOps, or Systems Engineering roles.
- Strong proficiency with Linux systems and shell scripting.
- Experience with cloud platforms (AWS, Azure).
- Hands-on experience with Kubernetes/ECS and container technologies (Docker).
- Proficiency in at least one programming language: Python or Java
- Experience with CI/CD pipelines and DevOps tooling.
- Strong understanding of distributed systems, networking, and security fundamentals.
- Strong analytical and problem-solving skills.
- Excellent communication and cross-team collaboration.
- Ability to thrive in fast-paced, high-stakes environments.
- A mindset focused on continuous improvement and operational excellence.
Prefered Qualifications:
- Experience with observability stacks (OpenTelemetry).
- Knowledge of database management (PostgreSQL).
- Experience with configuration management tools (Ansible, Chef, Puppet).
- Familiarity with zero-downtime deployments and chaos engineering practices.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.