SRE/DevOps Engineer

Job Description

Job Description

About Us:
Versana is an industry-backed data and technology company on a mission to make the syndicated 
loan market better. By digitally capturing agent banks’ data on a real-time basis and centralizing it 
onto a single platform, Versana provides unprecedented transparency into loan level details and 
portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, 
participants can rest assured they are accessing the loan market’s most credible source of deal 
information.

About You:
Versana is seeking a motivated SRE/DevOps Engineer with strong observability experience to join 
our growing Platform Engineering squad. The squad’s goal is to manage public cloud, improve 
DevOps practices, and monitor Versana’s real-time syndicated loan data platform. The ideal 
candidate will have a deep understanding of cloud-native applications, distributed computing, 
CI/CD implementation, observability tools and practices.

Key Responsibilities:
• Design, implement and enhance system observability and monitoring tools
• Monitor system performance, create incident response plans, and implement observability 
practices to gain insights into system behavior.
• Implement and monitor service-level objectives (SLOs) and indicators.
• Improve system reliability and resiliency.
• Conduct post-incident reviews and implement necessary changes to prevent system 
failures.
• Assist teams in implementing observability tools and leveraging available telemetry data to 
troubleshoot and resolve incidents and problems.
• Leverage observability and event management to improve key incident management 
metrics, such as mean time to detect and mean time to restore services.
• Continually optimize systems and workflows by improving architecture, infrastructure, 
automation, CI/CD, and observability.
• Collaborate with developers to ensure applications are designed with DevOps best 
practices in mind.
• Participate in a rotating on-call schedule for weekend releases and being available to 
respond to production issues outside of regular working hours, including weekends and 
holidays.

Must Have:
• 5+ years of experience as a Site Reliability Engineer or similar role.
• 3+ years of work experience with public cloud (Azure, AWS or GCP).
• 3+ years of direct experience with observability tools like Datadog, Elasticsearch, and 
Grafana Labs, etc.
• 3+ years of experience with containerization and orchestration technologies like Docker 
and Kubernetes.
• 2+ years of experience in development and management of CI/CD pipelines (e.g., Azure 
DevOps, Gitlab CI/CD, Github Actions, Jenkins, etc).
• 2+ years of experience with Infrastructure-as-code tools like Terraform, Azure Bicep, Cloud 
Formation, etc.
• 1+ years of experience with site reliability tools like Gremlin, Chaos Mesh, or similar.
• Proven track record leveraging core observability concepts, end-user monitoring, and 
infrastructure monitoring with SaaS solutions.
• Experience with messaging services like Kafka or Azure Event Hubs.
• Good understanding of the Linux operating system.

Nice to Have:
• Experience in at least one coding language such as Java, JavaScript, Python, GoLang, or .NET.
• Certifications in cloud technologies.
• Experience with Azure cloud or Azure DevOps.
• Experience with Datadog or similar modern observability tools.

Equal Opportunity Employer:
We are committed to providing equal employment opportunities to all employees and applicants 
for employment and prohibit discrimination and harassment of any type without regard to race, 
color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual 
orientation, gender identity or expression, or any other characteristic protected by federal, state or 
local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, 
placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and 
training

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.