Senior Software Engineer 1 , DevSecMLOps

Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren’t adequately prepared. That’s where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 25,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as “the everything store” for career transitions and interview skill development.

We have a structured approach to interview success, which includes:

• Career Accelerator Course
• Comprehensive end-to-end courses and platform
• A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
• A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals

What’s more exciting is that we are completely remote and hiring the best people we can find regardless of geography.

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.

• 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.

• Designing, automating, and scaling cloud infrastructure for both web applications (Python/Django + JavaScript/NextJS) and ML pipelines.
• Managing and improving CI/CD pipelines for application deployments and ML workloads.
• Implementing DevSecOps practices: integrating security scans, IAM policies, and compliance automation.
• Building monitoring, logging, and alerting systems to ensure high availability and performance.
• Optimizing workloads for cost, reliability, and scalability (across API services, web apps, and ML model serving).
• Handling on-call issues across infrastructure, deployments, and ML pipelines.
• Driving best practices in infrastructure security, cost governance, and reliability engineering.
• Mentoring junior DevSecMLOps engineers and collaborating closely with ML, Dev, and Product teams

• Permanent remote/WFH and flexible work culture.
• Cutting-edge technology stack.
• An AI-first approach for solving the problems.
• Complete ownership and trust from the top management.
• Ideas and concerns are carefully listened to by the top management.
• Experiment, fail, and learn.
• Rapid career progression for high performers.
• High-pedigree, high-caliber team.
• Learn how a fast-growing startup works and scales.