Software Development Engineer I
TekWissen•Austin, TX
•Onsite
About The Position
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. This Client is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets. Global company that specializes in manufacturing semiconductor devices used in computer processing. The company also produces flash memories, graphics processors, motherboard chip sets, and a variety of components used in consumer electronics goods.
Requirements
- Hands-on experience with modern DevOps tooling and practices.
- CI/CD Platforms: GitHub Actions. Jenkins.
- Containerization and Orchestration: Docker. Kubernetes.
- Practical Experience Applying AI in DevOps: LLM-powered PR summarization, test generation, or issue triage. Anomaly detection on logs and metrics. ChatOps for incident response and operational support.
- Strong Scripting and Automation Skills: Proficiency in Python. Experience with TypeScript/JavaScript, Bash, or Groovy is an asset. Ability to build small to medium-scale automations and integrate with REST and AI APIs.
- Source Control and Code Review: Experience with GitHub, GitLab, Bitbucket, or Gerrit. Familiarity with trunk-based development, codeowners, and policy-as-code enforcement.
- Experience with relational databases and SQL, with an understanding of database concepts, schema design, and performance considerations.
- Knowledge of computer hardware components and experience installing, configuring, and troubleshooting hardware and software issues is a plus.
- Demonstrated ability to work effectively in a fast-paced, collaborative engineering environment.
- Strong communication and interpersonal skills.
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Responsibilities
- Design, build, and own DevOps platforms and applications that leverage AI/ML to improve developer productivity, reliability, and security.
- Architect, implement, and maintain solutions using modern DevOps, MLOps, and AIOps tools and practices, including LLMs, vector search, and AI-assisted automation.
- Develop and enhance AI-powered features for CI/CD, observability, and incident management, including intelligent alerting, anomaly detection, and automated remediation workflows.
- Lead and contribute to the development of automation scripts, tools, and services using Python (preferred) and other languages (TypeScript/JavaScript, Bash, Groovy) to integrate with REST and AI APIs.
- Collaborate with cross-functional teams (software engineering, SRE, security, data, and platform teams) to define requirements, design scalable solutions, and drive adoption of DevOps and AI/ML best practices.
- Implement and optimize CI/CD pipelines using systems such as GitHub Actions, Jenkins, Kubernetes, and Docker to ensure high reliability, security, and velocity of software delivery.
- Use AI-driven observability and ChatOps to troubleshoot and resolve production issues, improve mean time to detection (MTTD) and mean time to resolution (MTTR), and enhance system resilience.
- Champion and operationalize AI copilots, ChatOps, and knowledge-automation tools across teams to streamline workflows, reduce manual toil, and improve developer experience.
- Establish and enforce standards for source control, code review, and policy-as-code (e.g., trunk-based development, code ownership, and automated quality/security gates).
- Contribute to technical design reviews, documentation, and continuous improvement of DevOps and AI/ML-enabled platform capabilities.
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What This Job Offers
Career Level
Entry Level
