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Software Development Engineer

Saicon Consultants Inc.Sunset Valley, TX🇺🇸United StatesPosted Oct 9, 2026

Why This Role Stands Out

This hybrid Software Development Engineer role at Saicon Consultants Inc. offers exciting opportunities to design and scale cutting-edge web applications using Blazor, C#/.NET, and Python, with a focus on automation solutions. You'll thrive here if you have a strong background in full-stack development, cloud architecture, and a passion for collaborative problem-solving, allowing you to significantly impact the company's technological advancements. Apply today to grow your career in a dynamic and innovative environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Sunset Valley, TX, United States
Posted
20 hours ago
DockerSQLMLOpsBashGitHub ActionsGroovyJavaScriptJenkinsKubernetesLLMPythonRESTTypeScript

Job Description

KEY 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.
PREFERRED EXPERIENCE:
  • Hands-on experience with modern DevOps tooling and practices, including:
  • CI/CD platforms such as GitHub Actions and Jenkins
  • Containerization and orchestration with Docker and Kubernetes
  • Practical experience applying AI in DevOps, for example:
  • 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
  • Solid understanding of source control and code review workflows:
  • 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, with strong communication and interpersonal skills.
ACADEMIC CREDENTIALS:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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