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# Lead Site Reliability Engineer

- **Company:** Allegion plc
- **Location:** Carmel, IN, United States
- **Experience:** Expert
- **Salary:** $154,450.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, DevOps, Github, Spring Framework, Python (Programming Language), PostgreSQL, Load Testing, Machine Learning, Networking Basics, RabbitMQ, Reliability Engineering, Ansible, Prometheus, Azure Machine Learning, Software Requirements Analysis, Scripting, Load Balancing, Cloud Platform System, Tailwind, ReactJS, Grafana, Mttr, Reliability of Systems, Firewalls (Computer Science), Gitlab, Cloudformation, Material UI, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Sentry, Bicep, Machine Learning Operations, React Redux, Cloudwatch, Restful APIs, Terraform, Docker, KServe, Jenkins, Artifactory, Golang
- **Published:** October 14, 2026
- **Apply:** https://allegion.wd5.myworkdayjobs.com/careers/job/Carmel-IN/Lead-Site-Reliability-Engineer_JR37684-1

## About the Role

· Degree in computer science, networking, or a related IT field, and/or equivalent practical experience.

· 8+ years of combined software/IT experience, including 5+ years in a Site Reliability Engineering, DevOps, or systems reliability role.

· Demonstrated experience owning SLI/SLO design, error budget policy, and capacity planning across multiple services or products.

· Proven track record leading incident response and blameless postmortems, including for high-complexity or high-impact incidents.

· Hands-on experience with at least one major cloud platform (AWS or Azure) and container orchestration (Kubernetes/EKS/AKS); proficiency in either platform is acceptable.

· Experience with infrastructure-as-code (Terraform, CloudFormation, or Bicep/ARM) and CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, or GitLab).

· Strong scripting/automation skills (Python, Go, Bash, or similar) to eliminate toil and build reliability tooling.

· Experience with observability and monitoring platforms (Prometheus, Grafana, Loki, Sentry, Elastic, CloudWatch, or Azure Monitor).

· Solid understanding of networking principles, TLS/encryption concepts, REST APIs, firewalls, and load-balancing/reverse proxies.

· Ability to evaluate and recommend reliability/automation tooling against organizational needs, weighing maturity, scalability, and cost.

· Strong mentorship instincts and the ability to influence engineering practice without direct management authority.

· Excellent written, verbal, and presentation skills, with the ability to communicate technical concepts at multiple levels of the organization, including with senior management.

· Experience working with and leading through remote/distributed teams.

· Passion for SRE, Agile, and security practices.

Desired Skills & Abilities (Nice to have, but not required):

· Experience productionizing or supporting ML model serving/observability (e.g., Azure ML, KServe, Seldon, MLflow).

· Familiarity with SOC2 or similar compliance/audit processes.

· Experience with configuration management tools such as Ansible.

· Experience setting up performance/load-testing environments.

Technologies and practices we use:

· AWS & Azure cloud technologies, Kubernetes, Terraform

· Docker, EKS/AKS, Azure ML

· Prometheus, Grafana, Loki, Sentry, Elastic, CloudWatch, Azure Monitor

· Java, Spring, React, Redux, Material UI, Tailwind

· RabbitMQ, Postgres

· GitHub, Azure DevOps, Artifactory

· Metrics-driven decision making

## Description

· Defining and governing SLO/SLI, error budget, RPO, MTTA, and MTTR frameworks across multiple products.

· Leading capacity planning and shaping reliability architecture across the production ecosystem.

· Serving as the SRE technical authority on cross-functional projects, interfacing directly with engineering management and partner teams.

· Evaluating reliability tooling and automation frameworks against organizational needs, weighing maturity, scalability, and fit with the existing observability stack.

· Leading incident response and blameless postmortems for high-complexity, high-impact incidents.

· Driving toil reduction through automation and influencing broader reliability culture and practices.

· Lead the design of SLO frameworks, observability pipelines (metrics, logs, traces), and incident management practices across multiple services and teams.

· Own reliability for critical or high-complexity services, translating conceptual system requirements into concrete SLO, SLI, RPO, MTTA, and MTTR specifications.

· Provide technical leadership on multiple medium-to-high complexity reliability initiatives, guiding teams through advanced reliability challenges.

· Lead cross-functional reliability reviews, offering expert feedback on architecture, SLO design, and observability coverage, and influencing organizational SRE standards.

· Champion reuse of reliability tooling and automation across teams, implementing scalable solutions that maximize operational efficiency.

· Mentor Senior and mid-level SREs; consult on SRE methods and procedures with guidance from senior leadership.

· Drive an AI-first culture to reduce toil and repetitive operational work.

· Apply enterprise security policies and standards across all operational and reliability work.

· Represent the SRE function in cross-functional forums, translating reliability outcomes into business impact.

· Stay current with emerging reliability, observability, and automation technologies and recommend adoption where it improves organizational outcomes.