Cloud Observability Engineer
Listed on 2026-07-24
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IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Support
Software Engineering Lakewood,Colorado Latham,New York Lubbock,Texas Plano,Texas
Salary: USD 93547 - 150000 Annually
The Platform Operations Engineer is a technical role responsible for strengthening the reliability, scalability, performance, and operational maturity of cloud-based applications and services. This role partners closely with engineering, product support, cloud operations, and infrastructure teams to proactively identify reliability risks, reduce operational toil through automation, improve observability, and implement preventative measures that help avoid production issues before they impact customers.
The Platform Operations Engineer supports SLA commitments, improves incident readiness and response, and drives continuous improvement across systems, processes, and teams to deliver a dependable , high-quality customer experience.
Responsibilities
- Design, build, and maintain highly available, scalable, secure, and cost-effective cloud infrastructure and supporting services.
- Implement, maintain, and continuously improve monitoring, alerting, logging, and observability practices to detect reliability risks early and ensure alerts are actionable.
- Proactively assess production systems for operational risk, performance bottlenecks, resiliency gaps, and recurring failure patterns; recommend and implement preventative improvements.
- Define, track, and improve service reliability indicators, objectives, and error budgets in partnership with engineering, product, and operations teams to balance reliability, customer impact, and delivery priorities.
- Partner with engineering, product support, cloud operations, and infrastructure teams to strengthen incident response readiness, improve communication, and drive timely resolution of production issues.
- Lead root cause analysis and cross-functional incident retrospectives, translating findings into preventative actions that reduce recurring incidents and improve system resiliency.
- Develop automation, operational tooling, deployment support, and infrastructure provisioning practices to reduce manual effort, improve consistency, and minimize operational toil.
- Conduct regular performance tuning, capacity analysis, reliability reviews, and system health assessments to support SLA commitments and customer expectations.
- Drive continuous improvement initiatives that improve reliability engineering practices, operational maturity, and productivity across teams.
- Participate in a structured on-call rotation during primary business hours and contribute to incident management best practices.
- Stay current with industry trends, best practices, and emerging technologies in site reliability engineering, Dev Ops, cloud operations, automation, and observability.
Qualifications
- BS/BA degree in Computer Science, Computer Engineering, Information Systems, or a related field, or equivalent practical experience.
- 3+ years of experience in Site Reliability Engineering, Cloud Operations, Dev Ops, Software Engineering, or a related technical role supporting cloud-based production systems.
- 5+ years of hands-on software engineering experience, including application design, code review, testing, debugging, release processes, and supporting production software systems.
- Proficiency with cloud computing platforms such as AWS, Azure, or GCP, including experience with infrastructure as code tools such as Terraform.
- Hands-on experience with monitoring, logging, alerting, and observability tools such as Datadog, AWS Cloud Watch, Solar Winds Database Performance Analyzer, or similar platforms.
- Experience participating in or improving incident response processes, including use of tools such as Pager Duty, JSM Operations, or similar incident management platforms.
- Experience conducting root cause analysis, identifying systemic risks, and implementing preventative measures to reduce production incidents.
- Familiarity with SRE practices such as service level indicators, service level objectives, error budgets, toil reduction, blameless post-incident reviews, and reliability-focused engineering.
- Expertise in scripting or programming languages such as Power Shell, Python, Bash, C#, Go, or .NET for automation and tooling.
- Strong understanding of database concepts and administration, including T-SQL scripting, indexing, query performance, and performance tuning for MS SQL Server and/or PostgreSQL.
- Solid understanding of networking concepts, security best practices, and system administration in Windows and Linux environments.
- Experience with CI/CD practices, deployment automation, configuration management, and modern Dev Ops methodologies.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues and drive timely, sustainable resolution.
- Clear communicator who thrives in collaborative, cross-functional environments and can explain technical risks, tradeoffs, and recommendations to varied audiences.
- Demonstrated curiosity, ownership, and a continuous improvement mindset focused on reliability,…
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