Senior Software Engineer 1, DevSecMLOps

Senior Software Engineer 1, DevSecMLOps

Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling.

Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart's vision is to help every tech professional thrive in today's fast-evolving tech industry.

With 40+ domain-specific coursesfrom foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSAInterview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructorsindustry practitioners, hiring managers, and senior engineers from FAANG+ companiesbring real-world insight and cutting-edge expertise into every classroom.

Beyond upskilling, Interview Kickstart offers end-to-end career support. Personalized mock interviews, resume and LinkedIn branding, career coaching, salary negotiation guidance, and performance-based job referrals ensure that your AI upskilling translates into real career breakthroughs. Over 25,000 professionals have already advanced their careers through Interview Kickstart.

Recognized by TIME x Statista and GSV 150 as a top EdTech company, Interview Kickstart is the go-to platform for tech professionals looking to future-proof their careers in the age of AI.

Role Overview

As an MLOps Engineer at Interview Kickstart, you will play a critical role in ensuring the smooth operation and continuous improvement of our infrastructure. You will collaborate closely with developers, product managers, and other stakeholders to deliver high-quality, reliable, and scalable systems that support our platform and services.

What Will Excite Us?

• An AI-first approach to infrastructure, security, and ML operations.
• 4+ years of experience across DevOps, MLOps, and Security practices.
• Strong expertise with AWS and Kubernetes / Docker.
• Hands-on with CI / CD pipelines and Infrastructure as Code (Terraform / CloudFormation).
• Deep understanding of machine learning model lifecycle management (training, deployment, monitoring).
• Experience with security automation, vulnerability scanning, and compliance (CIS, SOC2, GDPR).
• Solid scripting skills (Python and Bash).
• Good debugging and online searching skills.
• Good communication skills.

What Will You Be Doing?

Why You Will Enjoy Working With Us?