Senior Advanced Site Reliability Engineer (SRE)
About The Position
Honeywell Technologies is seeking a Senior Advanced Site Reliability Engineer (SRE) with a strong background in DevOps and SRE practices to design, implement, and maintain scalable, reliable, and secure infrastructure for cloud-native applications. The role includes designing, implementing, and optimizing ML pipelines; supporting GCP and Azure infrastructure; developing prompts for generative and agentic AI solutions; contributing to CI/CD practices; and helping govern Databricks and data lake operations. The engineer works closely with software engineers, data scientists, and product managers to deliver reliable AI solutions. The position is based in Atlanta, Georgia, on a hybrid work schedule and reports directly to the Director of SRE. Honeywell’s Corporate business unit provides centralized services and strategic support, including IT solutions, financial services, and operational excellence for global business units.
Requirements
- At least 7 years of experience with high-availability distributed systems and configuration management tools.
- At least 7 years of expertise in cloud platforms (GCP, AWS, and Azure) and proficiency with infrastructure as code tools such as Terraform, Ansible, and CloudFormation.
- At least 7 years of experience with containerization and orchestration, including Docker and Kubernetes, and a deep understanding of CI/CD pipelines and automation tools such as Jenkins, GitHub Actions, and GitLab CI.
- At least 7 years of scripting experience, such as Python, Bash, or Go.
- Must be a U.S. Person (U.S. citizen, U.S. permanent resident, or have protected U.S. status under asylum or refugee status) or have the ability to obtain export authorization.
Nice To Haves
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, with 7 years of experience in DevOps, SRE, or related roles.
- Familiarity with database management and performance tuning.
- Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, ELK, or Datadog.
- Excellent troubleshooting and problem-solving skills.
- Strong communication and collaboration skills.
- Experience with security best practices and compliance.
- Certifications in cloud platforms or DevOps/SRE.
Responsibilities
- Design, build, and maintain scalable infrastructure on GCP, AWS, and Azure.
- Develop and implement CI/CD pipelines for automated deployment and testing.
- Monitor, troubleshoot, and optimize system performance, reliability, and availability.
- Lead incident response, root cause analysis, and post-mortem reviews.
- Implement and manage infrastructure as code using tools such as Terraform, Ansible, or CloudFormation.
- Develop and maintain observability solutions for monitoring, logging, and alerting using tools such as Prometheus, Grafana, ELK, and Datadog.
- Collaborate with development teams on application reliability, scalability, and security best practices.
- Automate operational tasks and improve system efficiency through scripting and tooling.
- Mentor and guide junior engineers in SRE and DevOps practices.
- Ensure compliance with security standards and participate in audits.
- Design, implement, and optimize ML pipelines; support GCP and Azure infrastructure; develop prompts for generative and agentic AI solutions; contribute to CI/CD practices; and help govern Databricks and data lake operations.
Benefits
- Employer-subsidized medical, dental, vision, and life insurance.
- Short-term and long-term disability coverage.
- 401(k) match.
- Flexible Spending Accounts and Health Savings Accounts.
- Employee Assistance Program (EAP).
- Educational assistance.
- Parental leave.
- Paid time off for vacation, personal business, sick time, and parental leave.
- 12 paid holidays.
- Competitive salary.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
