Sr. Site Reliability Engineer

Senior Engineer, Systems Reliability (SRE) - Privacy ensures the stability, performance, and reliability of IT services and infrastructure. This role combines software engineering and operations expertise to build and maintain highly available, scalable systems. As a leader in DevOps and cloud reliability practices, the engineer supports continuous improvement of automation, deployment pipelines, observability, and incident management, while mentoring junior engineers and optimizing production workflows. The position plays a critical part in enabling software to be delivered faster, better, and more reliably to support business and customer needs. What You ll Do

• Build and maintain CI/CD pipelines for data engineering deployments using GitLab and Azure DevOps Design and maintain CI/CD pipelines and DevOps automation solutions for REST APIs and microservices.
• Implement robust monitoring, alerting, and logging for data pipelines, Snowflake and Azure services.
• Respond to production incidents, troubleshoot failures and restore services quickly.
• Perform root cause analysis and implement preventive measures.
• Ensure high availability and disaster recovery planning for critical data systems.
• Tune SQL queries, Snowflake features and Databricks clusters for optimal performance and cost efficiency.
• Automate operational tasks to improve deployment reliability and reduce manual intervention. Manage secrets and credentials using Azure Key Vault and CyberArk.
• Hands-on experience with Terraform, Helm, or Ansible for infrastructure provisioning
• Working knowledge of containerization (Docker) and Kubernetes orchestration Hands-on experience with cloud platforms (Azure; AWS or GCP)
• Understanding of deployment strategies (blue/green, rolling, canary), GitOps, and artifact management
• Ensure compliance with data governance, privacy regulations and organizational security standards.
• Work closely with data engineers, analysts and cloud teams to ensure smooth operations.
• Maintain detailed runbooks, operational documentation and incident reports.
• Perform regular OS patching on Unix and Windows servers to address security vulnerabilities and maintain system stability.
• Apply critical and cumulative updates for middleware components such as Oracle Data Integrator (ODI), WebLogic and related software to mitigate risks and enhance performance.
• Coordinate patching schedules with application and infrastructure teams to minimize downtime and ensure business continuity.
• Use AI productivity tools daily (Claude and Cursor or similar IDE) across the SRE lifecycle including pipeline development, scripting, runbook authoring, log analysis, and incident response Design, build, and operate AI agents to automate SRE tasks such as incident triage, root cause analysis, alert correlation, runbook execution, and patching workflows
• Apply foundation models, prompt engineering, and RAG patterns to operational use cases such as querying runbooks, summarizing incidents, and surfacing remediation guidance etc but not limited to these areas.
• Implement audit logging, observability, and human-in-the-loop controls for AI agents and AI-assisted workflows operating in Tier-0 production environments
• Build and host AI agents, identify gaps and convert them into AI agent use cases, and implement solutions to further modernize the SRE platform

• Bachelor s degree in computer science, Engineering, or equivalent practical experience 5-7 years of experience in systems reliability, software engineering, DevOps, or related technical roles
• Experience working in Agile and DevOps delivery environments Demonstrated ability to mentor engineers and influence technical outcomes
• Strong problem-solving skills with a systems-level perspective Strong automation, and agentic AI skills.
• Familiarity with foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development applied to SRE and operational use cases

Must Have Skills

• CI/CD tooling and automation experience (gitlab, azure devops, jenkins)
• Experience working in public or private cloud environments Proficiency in one or more programming or scripting languages (Python, Java, Shell, etc.)
• Experience with monitoring, logging, and APM tools such as AppDynamics, Splunk, or equivalents Strong understanding of system reliability concepts including scalability, performance, availability, and resilience Strong experience in writing SQLs, analyzing logs and troubleshooting issues.
• Databases: SQL (Oracle/My SQL/ Snowflake)
• Messaging: Kafka, Rabbit MQ
• Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, RAG, and AI agent development
• Experience with containerization and orchestration technologies such as Docker and Kubernetes

Nice to Have

• Experience migrating systems to cloud-native architectures
• Familiarity with reliability metrics, service monitoring, or operational dashboards
• Exposure to platform engineering or shared services environments

Key Skills: CI/CD, automation, AppDynamics, Splunk, Kafka, Rabbit, AI productivity tools

Bright Vision Technologies

• Little Elm, TX

• $100,000-150,000 per year Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations…

• 2 days ago