Senior DevOps Engineer
Ai Build
We are seeking an experienced Senior DevOps and MLOps Engineer to join our team.
In this role, you will be responsible for designing and implementing AWS infrastructure for software deployment and managing different environments. Additionally, you will be responsible for defining and implementing DevOps and MLOps processes that will enable our team to deliver software with speed, efficiency, and reliability.
As a Senior DevOps and MLOps Engineer, you will be responsible for managing the entire infrastructure of the product, including designing, implementing, and maintaining the necessary systems and services. You will collaborate with the development team to ensure that the infrastructure supports the product’s requirements and can scale effectively.
In addition to the qualifications mentioned above, the ideal candidate must also be compliant with ITAR (International Traffic in Arms Regulations) regulations.
Job Title: Senior DevOps Engineer
Location: London Office (Leyton) or Remote
Reporting To: CTO
Department: Development team
Job Responsibilities:
- Design and implement AWS infrastructure to support software deployment and manage different environments.
- Define and implement DevOps and MLOps processes to optimize software delivery and achieve operational efficiency.
- Collaborate with the development team to identify and solve infrastructure-related issues.
- Automate manual processes, including testing and deployment.
- Ensure data management processes are in place to support data requirements.
- Troubleshoot infrastructure-related issues and work towards their resolution.
- Monitor infrastructure performance and take proactive steps to improve it.
- Maintain and improve infrastructure security.
Requirements
- US Citizen and US based, compliant with ITAR regulations
- At least three years of experience managing complex pipelines, preferably in AWS.
- Bachelor’s or Master’s degree in Computer Science or a related field
- Ability to work independently
- Knowledge of algorithms and data structures in particular linked to common infrastructure problems
- Strong knowledge of AWS services
- Experience with Kubernetes, Docker, and containerization
- Experience with infrastructure as code tools such as Terraform or CloudFormation
- Experience with CI/CD pipelines and automated testing frameworks
- Experience in using git
- Experience working with SQL and NoSQL databases
- Knowledge of machine learning workflows, data science pipelines, and ML frameworks
- Experience with computer vision management pipelines
Nice to have
- AWS Certifications such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
- Experience with data processing tools such as Apache Spark, Apache Flink, or Apache Beam.
- Experience in web developing