Senior SRE
Apex Systems Inc
Senior SRE
Location: Austin, Texas (Hybrid) Role Overview We are looking for a skilled engineer with disciplines that incorporate aspects of software systems engineering and operations. This role focuses on developing better ways of managing and operating applications, including AI/ML-driven approaches to observability and reliability. The successful candidate will evangelize an SRE mindset and solve problems through systematization. Key Responsibilities- Identify opportunities to build innovative tools and solve operations problems on large enterprise and mission-critical applications.
- Create scripts to automate operational tasks and incorporate solutions into infrastructure.
- Design and implement AI/ML-driven automation pipelines, observability enhancements, and proactive operational response systems.
- Lead the expansion of automation coverage for deployment, monitoring, alerting, and self-healing workflows.
- Collaborate with Engineering, Scrum, and Ops resources to provide technical expertise on initiatives for system availability and reliability.
- Triage alerts and diagnose/resolve critical issues, managing changes with clear communication.
- Develop tools, frameworks, and instrumentation to validate and increase rollout success for applications.
- Champion AIOps platform adoption and ML-assisted observability practices.
- Coordinate capacity planning using data-driven trend analysis and ML-informed forecasting.
- Develop CI/CD orchestration systems to reduce friction for software delivery to production.
- Perform real-time troubleshooting of mission-critical application workflows.
- Participate in on-call support.
- Experience with Windows 2019/2022 and Linux hosted via Virtual Machine.
- Experience in Cloud application configuration, deployment, support, and migration; GCP/PCF is a plus.
- Knowledge of IP networking including DNS, DHCP, firewalls, and IP routing.
- Familiarity with large-scale distributed systems and high-availability architecture.
- Linux and Windows system administration, troubleshooting, and tuning.
- Development experience in one or more programming languages: .NET, PowerShell, Java, Python, Bash.
- Knowledge of one or more databases: SQL, Oracle, MongoDB.
- Working knowledge of Actimize.
- Knowledge of one or more Message Brokers: Solace, RabbitMQ, IBM MQ, Kafka.
- Knowledge of Splunk, AppDynamics, or similar observability tools.
- Demonstrated experience applying AI/ML or AIOps approaches in production environments.
- Financial services industry experience.
- Experience with Agile methodologies.
- Hands-on experience with AIOps platforms or ML-driven observability tooling.
- Experience integrating AI/ML capabilities into CI/CD or operational automation workflows.
- Familiarity with CI/CD tools such as Harness, Jenkins, or GitHub Actions, or GitOps concepts.
- Exposure to container orchestration (Kubernetes, OpenShift) or cloud platforms (AWS, Azure, GCP).
Vacancy posted 2 days ago
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