MLOps and DevOps Engineer
Heredia
Hakkōda
Hakkoda is a modern data consultancy, helping customers harness cloud platforms and AI capabilities for innovative results in the real world.Hakkoda, an IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!.
Role Description:
We’re looking for a DevOps/MLOps Engineer who thrives at the intersection of software engineering, cloud infrastructure, and machine learning operations. This is a unique opportunity to work on high-impact projects where you’ll support both traditional DevOps workflows and modern MLOps pipelines in AWS. If you’re passionate about automation, scalable infrastructure, and want to help data science teams move models into production seamlessly—this role is for you. You’ll be part of a forward-thinking team that works with Fortune 1000 clients, leveraging cutting-edge AWS services like SageMaker, Lambda, and Terraform to build secure, reliable, and production-ready environments.
Responsibilities:
- Build and maintain CI/CD pipelines for application and ML model deployment using GitHub Actions or similar tools.
- Develop and manage AWS infrastructure using Terraform or CloudFormation.
- Collaborate with ML engineers and data scientists to operationalize models via SageMaker Pipelines and SageMaker Studio.
- Set up and automate monitoring, alerting, and model drift detection systems.
- Manage containerized workloads using Docker; optionally deploy to ECS, EKS, or SageMaker endpoints.
- Support model versioning, rollback strategies, and retraining automation.
- Ensure secure, scalable, and cost-efficient cloud infrastructure aligned with project requirements.
- Provide operational support and documentation for deployment processes.
Qualifications - Must-Have:
- 3–5+ years of hands-on experience in DevOps or infrastructure engineering, with focus on AWS.
- Proficiency with infrastructure-as-code tools like Terraform.
- Strong experience with CI/CD pipelines, containerization (Docker), and deployment automation.
- Solid knowledge of Amazon SageMaker components including Pipelines, Model Registry, and Studio.
- Experience working with cloud storage (S3), serverless tools (Lambda, EventBridge), and IAM roles/policies.
- Scripting skills in Python, Bash, or similar languages.
- Excellent collaboration skills with cross-functional teams.
Nice to Have - Preferred:
- Familiarity with ML monitoring, automated retraining, and model drift mitigation.
- Experience using MLflow, Feature Stores, or Vertex AI.
- Exposure to Kubernetes, especially EKS.
- Background in data science workflows or experience working closely with data science teams.
- Knowledge of cost optimization and cloud security best practices.
Our Benefits:
- Comprehensive Life Insurance: Including dental and vision, wellness, home spa treatments, express doctor visits etc.- Paid Parental Leave- Flexible PTO Options - Company Bonus Program- Asociación Solidarista- Technical Training & Certifications- Extensive Learning and Development Opportunities- Flexible Work-from-Home Policy- Work from Anywhere Benefit
Hakkoda is committed to fostering diversity, equity, and inclusion within our teams. A diverse workforce enhances our ability to serve clients and enriches our culture. We encourage candidates of all races, genders, sexual orientations, abilities, and experiences to apply, creating a workplace where everyone can succeed and thrive.
Ready to take your career to the next level? 🚀 💻 Apply today👇 and join a team that’s shaping the future!!
Hakkoda is an IBM subsidiary which has been acquired by IBM and will be integrated in the IBM organization. Hakkoda will be the hiring entity. By Proceeding with this application, you understand that Hakkoda will share your personal information with other IBM subsidiaries involved in your recruitment process, wherever these are located. More information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS CI/CD CloudFormation Consulting DevOps Docker ECS Engineering GitHub Kubernetes Lambda Machine Learning MLFlow MLOps Model deployment Pipelines Python SageMaker Security Snowflake Terraform Vertex AI
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Parental leave Salary bonus Startup environment
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