This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer - ML Ops in United States.
This role offers the chance to shape and maintain state-of-the-art machine learning and software infrastructure in a high-impact, fast-growing environment. The Senior Software Engineer will focus on building scalable MLOps pipelines, cloud-based deployment solutions, and production-ready ML systems, collaborating closely with data scientists and engineering teams. The position emphasizes technical leadership, problem-solving, and mentorship, providing opportunities to influence architecture, CI/CD pipelines, and model lifecycle management. The successful candidate will work on complex, distributed systems, optimize production environments, and contribute to continuous innovation while ensuring high-quality, secure, and maintainable solutions. This role balances hands-on engineering with strategic thinking in a dynamic, remote-first setting.
Accountabilities:
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
Benefits:
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
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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