Senior Software Engineer - MLOps (Remote)

About the Role

We are seeking a Senior Software Engineer - MLOps to join our dynamic team in a fully remote capacity. This role offers the opportunity to shape and maintain state-of-the-art machine learning and software infrastructure in a high-impact, fast-growing environment. As a Senior Software Engineer focusing on MLOps, you will build scalable MLOps pipelines, cloud-based deployment solutions, and production-ready ML systems, collaborating closely with data scientists and engineering teams.

What You'll Do

• Design, develop, test, and maintain software applications and MLOps pipelines, ensuring scalability, reliability, and high-quality code.
• Lead technical initiatives, provide guidance to junior engineers, participate in architecture decisions, and conduct code reviews.
• Build and maintain cloud-based ML infrastructure (AWS, Azure, GCP) and containerized deployments using Docker and Kubernetes.
• Implement CI/CD pipelines and orchestration using tools such as GitLab CI, GitHub Actions, Circle CI, or Airflow.
• Collaborate closely with data scientists to productionize, version, deploy, and monitor machine learning models, ensuring automated testing and quality assurance.
• Stay current with emerging technologies and best practices, applying them to optimize software development processes and system performance.
• Ensure software and infrastructure adhere to security standards, compliance requirements, and operational best practices.

Requirements

• 5–7 years of software engineering experience, including production-level system deployment.
• Strong Python development experience (2+ years) and familiarity with cloud computing environments (AWS preferred).
• Experience with containerized deployments using Docker and Kubernetes.
• Knowledge of software architecture, design patterns, testing, version control, and CI/CD best practices.
• Proficiency with infrastructure-as-code tools such as Terraform or AWS CDK.
• Experience monitoring and optimizing production systems using tools like Datadog, ELK, Grafana, or Prometheus.
• Participation in on-call rotations and handling operational escalations.

Nice to Have

• Experience with machine learning frameworks (TensorFlow, PyTorch, XGBoost, Scikit-learn), ML lifecycle tools (MLflow, Kubeflow, Seldon Core), and microservices/API development.

What We Offer

• Competitive base salary range: $130,000 – $180,000 USD.
• Equity opportunities and performance-based incentives.
• Unlimited Paid Time Off (PTO) and flexible remote-first culture.
• Comprehensive healthcare, vision, and dental plans, including employer contributions to Health Savings Accounts (HSA).
• Paid parental leave and family-focused perks, including diaper delivery for newborns.
• Retirement plan with competitive 401(k) match.
• Home office allowance and opportunities for professional development.
• Wellness programs including Employee Assistance Program and 24/7 telemedicine access.
• Regular team activities, social events, and in-person gatherings to foster collaboration and culture.