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Information Technology 🏢 Full Time ⭐️ Verified

Senior Software Engineer (Weekend Shift)

InnovateTech Dynamics
Oklahoma City
Estimated Salary
USD 110.000 – USD 150.000
Live Update
10 Agustus 2026
Deadline
10 Agu 2027

Job Description

Join InnovateTech Dynamics, a leading AI-powered fintech disruptor, as a Senior Software Engineer on our weekend team! This full-time weekend shift role offers a unique opportunity to architect cutting-edge solutions while enjoying a 4-day work week. You'll collaborate with world-class engineers to build scalable cloud infrastructure, optimize machine learning pipelines, and deliver high-impact financial technology products. Our Oklahoma City hub combines competitive compensation with a vibrant startup culture and state-of-the-art facilities.

Why Apply?
• Competitive salary + equity
• 4-day work week (Sat-Sun off)
• $15k annual tech stipend
• Remote flexibility 2 days/week
• Health insurance premiums covered

Responsibilities

  • Design and implement scalable microservices using Go and Kubernetes
  • Optimize ML model inference pipelines for real-time financial analytics
  • Lead CI/CD pipeline automation and infrastructure-as-code initiatives
  • Conduct code reviews and mentor junior engineers on weekend rotations
  • Collaborate with product teams to translate requirements into technical specifications
  • Implement robust security protocols for financial data processing
  • Monitor system performance and troubleshoot production issues

Qualifications

  • 5+ years of experience in backend software development
  • Expertise in Go, Python, and cloud platforms (AWS/GCP)
  • Strong understanding of distributed systems and microservices architecture
  • Experience with Kubernetes, Docker, and Terraform
  • Proficiency in SQL databases and NoSQL solutions
  • Bachelor's degree in Computer Science or equivalent experience
  • Ability to work independently during weekend shifts
  • Strong problem-solving and communication skills

Required Skills

Go Python Kubernetes AWS Microservices CI/CD Machine Learning Distributed Systems

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