About this opportunity
Quality Ai lists this Site Reliability Engineer opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Site Reliability Engineer
Are you interested in working with the World’s leading AI-first Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!
We are looking for a Site Reliability Engineer to join our growing team in Riverwoods, IL United States!
Responsibilities:
Partner with Application Development teams to build resiliency for Payment application.
Partner with our Application Develop teams to implement service level objectives.
Partner with our Application Development teams and other SREs to build out end to end observability.
Implement monitoring, alerting and dashboards needed for our apps.
Automated operational processes.
Help to develop our capacity management and performance management tools.
Help to define the DR plan needed for our critical apps.
Help to develop a chaos testing process.
Participate in an on-call rotation and support production Incidents.
SRE Skillsets - Expectations from Pricing & Settlements team:
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 expertise.
Experience in container technology (OpenShift, Kubernetes).
Expertise in automation tools experience (preferably Ansible).
Expertise in observability tools including APM (Datadog), synthetic monitoring and log aggregation (Elk).
Experience in dashboarding tools such as Grafana and Kibana.
Understating of Agile concepts and experience in JIRA.
Basic understating of Release Management.
Hands-on experience on SNOW.
SRE Skillsets - Expectations from Data Platform team:
Expertise in Message Broker (preferably Rabbit MQ, Kafka).
Expertise on Hadoop, spark commands JSON formatting.
Qualifications:
6-12 years of overall experience.
Professional experience as a Site Reliability Engineer (SRE).
Software development “hands on” engineer with excellent understanding of SDLC Application delivery.
Ability to translate functional and non-functional requirements into appropriate NFT Automation tests.
Experience with DevOps, CI/CD tools.
Good experience of Linux, AWS Cloud and on Prem deployments.
Good experience in Systems Observability and APM tools, preferably Datadog.
Strong ability to track and contribute to technical discussions around application integration and high-availability, resilience and observability.
Strong JIRA knowledge.
Skills:
Expertise in AWS-Lambda Services 4/5.
Strong programming skills (Java, Python, Shell Optional Java Script) 4/5.
Proficiency in Database concepts, Strong knowledge of SQL and experience with MySQL 4/5.
APM tools - Datadog 4/5.
Hands-on experience on SNOW.
Must have:
Professional experience as a Site Reliability Engineer (SRE).
Experience in performance testing, Ability to translate functional and non-functional requirements into appropriate NFT Automation tests.
Experience of AWS Cloud Application (Must for sure).
Experience of Linux, AWS Cloud(Must) and on Prem deployments.
Good experience in Systems Observability and APM tools, preferably Datadog.
Experience in dashboarding tools such as Grafana and Kibana.
Strong ability to track and contribute to technical discussions around application integration and high-availability, resilience and observability.
Expertise in one or more programming languages: Python, shell scripting (Unix/Linux), Java.
Nice to have:
Hands-on experience on SNOW.
Experience in container technology (OpenShift, Kubernetes).
Strong JIRA knowledge.
Basic understating of Release Management.
Experience in CI/CD pipelines preferably Jenkins expertise.
Benefits:
Why QualityAI?
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, the company provides 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.
Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.
Clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.
Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn - tap your network for net-worth.
A Competitive pay, the salary range for the role is $110,000 - $130,000.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.