At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
You will be working closely with data engineers ,developers and Infrastructure teams, asset owners and team experts and will have responsibilities across different dimensions. You will work mainly in the DevOps environment on public cloud platforms such as AWS, Azure and GCP. Day to day responsibilities include deploying ML frameworks to microservices using Kubernetes. Ideal candidates will have strong communication skills and the ability to guide clients and team members.
Responsibilities:
- Networking experience as Load balancing, network and security, Network protocols
- Creating and deploying ML models in production on AWS/ Azure/ GCP.
- In charge of containerizing MLOps with the use of Kubernetes .
- Generating ML offerings from a data catalog.
- Lead mid/ associate level engineers throughout projects .
- Govern and orchestrate deployment of ML models in production.
- Configure micro services for data science workloads .
- Work with senior and lead level DevOps , MLOps Engineers and Data Scientists
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or other relevant fields .
- 2 - 4 years of Experience as DevOps .
- As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity
● Bachelor’s degree in Computer Science, Engineering, or other relevant fields.
● 2 - 4 years of Experience as DevOps .
● Creating and deploying ML models in production on AWS/Azure/GCP.
● Proficiency in Kubernetes, microservices, Docker, Terraform, and Linux.
● Proficiency in Programming languages Python, Golang, JavaScript and others.
● Experience in IaC languages Terraform, Ansible and others.
● Experience in CI/CD tooling CircleCI, Jenkins, Github and others.
● Experience in API Life-cycle management.