Location: Austin, TX
Salary: $75.00 USD Hourly - $80.00 USD Hourly
Description: Role: Senior Site Reliability Engineer / DevOps Engineer (AIOps & Observability)
Work Arrangement: Hybrid (4 days weekly on-site in Austin, TX)
Position Type: 6+ Month Contract
About the Role Our client, a premier financial services and technology organization, is seeking an experienced Site Reliability Engineer (SRE) / DevOps Engineer to modernize platform operations across enterprise cloud and authentication ecosystems. In this role, you will bridge software engineering and systems operations to enhance platform availability, eliminate operational toil, and advance AI/ML-driven reliability engineering.
You will champion an SRE mindset across mission-critical platforms, architecting end-to-end automation, predictive alerting, anomaly detection, and self-healing systems. Partnering with cross-functional engineering, infrastructure, and delivery teams, you will ensure high availability and resilient delivery across large-scale distributed architectures.
Key Responsibilities - SRE & Reliability Engineering: Advocate for SRE principles, systematize operational workflows, and own production automation frameworks to eliminate repetitive toil and boost operational efficiency.
- AIOps & Intelligent Observability: Design and deploy AI/ML-assisted observability, predictive alerting mechanisms, and anomaly detection models to preempt performance bottlenecks and outages across core platforms.
- Proactive Monitoring & Incident Response: Construct enterprise dashboards, metrics, and alert policies using tools such as Splunk and AppDynamics; triage mission-critical incidents, perform root-cause analysis, and participate in rotational on-call support.
- Automation & Scripting: Engineer robust automation scripts, tools, and runbooks using Python, Bash, PowerShell, Java, or .NET for operational remediation and infrastructure consistency.
- CI/CD & Delivery Orchestration: Develop automated software delivery pipelines, advance GitOps methodologies, and integrate AI/ML-driven checks to optimize deployment reliability.
- Infrastructure & Platform Operations: Administer, tune, and troubleshoot virtualized Windows Server (2019/2022) and Linux environments, messaging infrastructures, and cloud/platform runtimes.
- Capacity & Rollout Strategy: Direct capacity planning leveraging predictive analytics and telemetry trend models; ensure safe deployment validation across large-scale distributed platforms.
Minimum Qualifications - 6-8 years of experience in enterprise systems administration, production operations, and platform reliability engineering.
- 6-8 years of experience building proactive observability dashboards, log aggregation pipelines, and alerting frameworks (e.g., Splunk, AppDynamics, Grafana, Datadog).
- 6-8 years of experience operating within formal SDLC processes, CI/CD workflows, and continuous improvement frameworks.
- Practical systems administration, troubleshooting, and performance tuning experience across both Linux and virtualized Windows Server (2019/2022) environments.
- Hands-on scripting and programming capabilities in one or more languages: Python, Bash, PowerShell, Java, or .NET.
- Working knowledge of enterprise messaging brokers (Kafka, RabbitMQ, Solace, or IBM MQ).
- Familiarity with database systems (SQL, Oracle, or MongoDB).
- Working knowledge of fraud prevention or compliance platforms, specifically Actimize.
- Solid understanding of core IP networking principles (DNS, DHCP, routing, firewalls) and high-availability distributed systems.
- Demonstrated experience implementing AI/ML, AIOps, or anomaly-detection approaches within production monitoring or operational automation.
- Bachelor's degree in Computer Science, Information Technology, or a related discipline (or equivalent practical experience).
Preferred Qualifications - Prior experience supporting mission-critical platforms within the financial services or banking sector.
- Working experience configuring, deploying, and supporting applications on Google Cloud Platform (Google Cloud Platform) or Pivotal Cloud Foundry (PCF).
- Experience with enterprise container orchestration platforms (Kubernetes, OpenShift) or multi-cloud environments (AWS, Azure, Google Cloud Platform).
- Familiarity with modern CI/CD orchestration tools (Harness, Jenkins, GitHub Actions) and GitOps practices.
- Experience operating within Agile/Scrum delivery frameworks.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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