Sr. Engineer

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services

Position: Sr. Engineer

Location: Frisco TX

Duration: 7 Months

Job Type: Temporary Assignment

Work Type: Onsite

Job Description:

• Sr. Engineer Systems Reliability - Privacy About the Role 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 Youll Do Build:

• 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

What Youll Bring:

• 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

TekWissen Group is an equal opportunity employer supporting workforce diversity.