DevOps Machine Learning Infrastructure at Syntiant

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, AWS EKS, Kubernetes, Docker, CI/CD, MongoDB, PostgreSQL, Ceph, Linux, Observability Tools, Kubernetes Operators, Helm Charts, Infrastructure as Code, Terraform, Ansible

Industry

Semiconductors

Description

Summary Description: 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 function in a growing organization. This individual will play a crucial role in 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 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. Troubleshoot & resolve issues across different environments (development, staging, production). 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. Expertise in Linux system administration. 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. 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.

Responsibilities

The DevOps Machine Learning Infrastructure Engineer will maintain and enhance machine learning applications deployed on AWS EKS and on-premises clusters. This role involves developing APIs, managing deployments, and integrating data sources.