Site Reliability Engineer
We are looking for a Site Reliability Engineer to join our growing team in Riverwoods, IL, United States.
About the role
QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, we provide assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions. Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live.
Responsibilities
- Partner with Application Development teams to build resiliency for Payment application.
- Implement service level objectives with Application Development teams.
- Build out end-to-end observability in collaboration with Application Development teams and other SREs.
- Implement monitoring, alerting, and dashboards needed for our applications.
- Automate operational processes.
- Develop capacity management and performance management tools.
- Define the disaster recovery (DR) plan for critical applications.
- Develop a chaos testing process.
- Participate in an on-call rotation and support production incidents.
Requirements
- 6-12 years of overall experience.
- Professional experience as a Site Reliability Engineer (SRE).
- Software development “hands-on” engineer with excellent understanding of SDLC and application delivery.
- Ability to translate functional and non-functional requirements into appropriate automation tests.
- Experience with DevOps and CI/CD tools.
- Good experience with Linux, AWS Cloud, and on-premises deployments.
- Good experience in systems observability and APM tools, preferably Datadog.
- Strong ability to track and contribute to technical discussions around application integration, high-availability, resilience, and observability.
- Strong JIRA knowledge.
Skills
Pricing & Settlements Team Expectations
- Good understanding of hybrid infrastructure.
- Expertise with AWS.
- Expertise in one or more general-purpose programming languages: Python, Go, shell scripting (Unix/Linux), Java.
- Experience in CI/CD pipelines, preferably Jenkins.
- Experience in container technology (OpenShift, Kubernetes).
- Expertise in automation tools, preferably Ansible.
- Expertise in observability tools including APM (Datadog), synthetic monitoring, and log aggregation (Elk).
- Experience in dashboarding tools such as Grafana and Kibana.
- Understanding of Agile concepts and experience in JIRA.
- Basic understanding of Release Management.
- Hands-on experience with ServiceNow (SNOW).
Data Platform Team Expectations
- Expertise in Message Broker (preferably RabbitMQ, Kafka).
- Expertise in Hadoop, Spark commands, and JSON formatting.
Must-Have Skills
- Professional experience as a Site Reliability Engineer (SRE).
- Experience in performance testing.
- Ability to translate functional and non-functional requirements into appropriate automation tests.
- Experience with AWS Cloud applications.
- Experience with Linux, AWS Cloud, and on-premises deployments.
- Good experience in systems observability and APM tools, preferably Datadog.
- Experience in dashboarding tools such as Grafana and Kibana.
- Strong ability to contribute to technical discussions around application integration, high-availability, resilience, and observability.
- Expertise in one or more programming languages: Python, shell scripting (Unix/Linux), Java.
Nice-to-Have Skills
- Hands-on experience with ServiceNow (SNOW).
- Experience in container technology (OpenShift, Kubernetes).
- Strong JIRA knowledge.
- Basic understanding of Release Management.
- Experience in CI/CD pipelines, preferably Jenkins.
Benefits
- Support for diversity and inclusion in the workplace, celebrating culture and sharing knowledge globally.
- Internal rotation and international mobility opportunities to grow your career.
- Clear career progression within a rapidly growing company (added over 2000 engineers since January 2021).
- Flexible and casual culture with a "work hard, play harder" mindset.
- Employee events and amenities, including games and relaxation spaces.
- Access to QualityAI Tech Academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, and leadership programs.
- Bonuses via Client Referral and Employee Referral Programs.
Pay
A competitive salary range of $110,000 - $130,000.