DevOps Machine Learning Infrastructure

Syntiant Corp.; Redwood City (CA); Presencial; USD 185.000 - 215.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage from Anthem BlueCross

Dental coverage

Vision coverage

Life/AD&D insurance

Disability coverage

401K retirement plan

Employee Assistance Program (EAP)

FSA/HSA

Descripción de la vacante

Syntiant Corp., a leader in AI software and semiconductor solutions, seeks a DevOps Machine Learning Infrastructure Engineer to enhance our ML applications deployed on AWS EKS and on-prem clusters. You will build, maintain, and optimize APIs with Python/FastAPI, implement CI/CD, and ensure scalable, reliable cloud-native and on-prem environments.

Role requires 5+ years of hands-on experience with AWS EKS, Docker/Kubernetes, Ceph, PostgreSQL, MongoDB, and NFS, plus strong problem-solving and

Formación

• Bachelor's degree in Computer Science or equivalent.
• 5+ years of relevant experience.
• Proficiency in Python, with FastAPI for API development.
• Hands-on experience with AWS EKS, deploying, scaling, and managing Kubernetes clusters.
• Knowledge of Docker and Kubernetes containerization.
• Experience with cloud services such as S3, RDS, and VPCs.
• Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
• Strong understanding of MongoDB, PostgreSQL, and NFS.
• Experience with Ceph on-premises storage.
• Ability to write clean, tested code.
• Knowledge of Prometheus and Grafana is a plus.
• Kubernetes operators, Helm charts, and on-prem Kubernetes are a plus.
• IaC with Terraform and Ansible is a plus.

Responsabilidades

• Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
• Deploy and manage applications on AWS EKS with high availability and scalability.
• Integrate data sources (MongoDB, PostgreSQL) for efficient storage and retrieval.
• Implement CI/CD pipelines to automate testing and deployment.
• Collaborate across teams to align cloud-native tools and practices.
• Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
• Participate in code reviews and knowledge sharing sessions.

Conocimientos

DevOps

Python

Cloud infrastructure

Containerization

CI/CD

On-prem and cloud

Problem solving

Observability

Educación

Bachelor's Degree in Computer Science

Herramientas

AWS EKS

Docker

Kubernetes

Terraform

Ansible

Prometheus

Grafana

Ceph

PostgreSQL

MongoDB

NFS

S3

RDS

VPCs

Descripción del empleo

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented DevOps Machine Learning Infrastructure Engineer to take on a critical role with expansive responsibilities to enhance the Software Engineering team.

This individual will play a crucial role in building, maintaining, and enhancing our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with application development, cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments.

Specific Duties and Responsibilities:

• Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
• Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance.
• Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval.
• Implement CI/CD pipelines to automate testing and deployment processes.
• Collaborate across teams to ensure seamless integration of cloud-native tools and practices.
• Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
• Participate in code reviews, pair programming, and knowledge sharing sessions.

Qualifications, Education, and Experience Required:

• Bachelor's Degree in Computer Science or equivalent work experience.
• Minimum of 5 years of relevant experience.
• Proficiency in Python, with experience using FastAPI for API development.
• Hands-on experience with AWS EKS, including deploying, scaling, and managing Kubernetes clusters.
• Knowledge of containerization technologies (Docker, Kubernetes).
• Experience with cloud infrastructure services such as S3, RDS, and VPCs.
• Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
• Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS.
• Experience with on-premises storage solutions like Ceph.
• Ability to write clean, maintainable code and perform thorough testing.
• Excellent problem-solving skills and a strong attention to deta.
• Experience with cloud-native observability tools (Prometheus, Grafana) is a plus.
• Familiarity with Kubernetes operators and Helm charts is a plus.
• Knowledge of container orchestration on-premises using K8s or similar technologies is a plus.
• Experience with DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus.

Benefits Summary:

• Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family.
• Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia.
• Vision: Company-paid vision PPO coverage from MetLife / VSP.
• Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family.
• Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection.
• Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan.
• 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck.
• Other Benefits: A company-provided Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection.

About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

Elements of our total compensation package include base pay, annual incentive plan, participation in our equity plan, and robust benefits program. The base salary range for this role is between $185,000 - $215,000. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.