Systems Architect
Reliable RoboticsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, Data EngineeringIndustries
Requirements
- Confidently addresses client questions and identifies gaps in requirements with proposed next steps
- Focus on delivering clear, actionable solutions that meet client goals
- Facilitates alignment across stakeholders or technical priorities and deliverables
- Navigates differing perspectives with professionalism to ensure shared understanding and progress
- Breaks down complex technical concepts for non-technical audiences in a clear, concise manner
- Adapts communication style based on audience and context to improve clarity and decision-making
- Experience with IaC tools (CloudFormation, CDK, Terraform)
- Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn)
- Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies
- Familiarity with MLOps tools (MLflow, Neptune, Comet)
- Deep expertise in ML system design
Responsibilities
- Guide Cayliens and Customers through Agile ceremonies like stand-ups, retrospectives, and more
- Translate customer requirements into a workable backlog of tickets for engineers
- Delegate tickets to a team of engineers in order to complete customer projects
- Lead requirements gathering, backlog grooming, and architecture discussions
- Apply understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting
- Troubleshoot and resolve issues in customer dev, test, and production environments
- Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results
- Write production quality code, including unit and integration tests
- Work with a team to deliver top-quality cloud native applications on AWS for customers
- Clearly communicate and document designs, processes, and procedures
- Mentor peers, tackle new technologies, and learn from the team
- Coach and mentor less experienced teammates, coach and be mentored by world class engineers
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote?
Yes, Caylent operates fully remote with employees in Canada, the United States, and Latin America.
What is the salary for the Machine Learning Architect role?
This information is not specified in the job description.
What key skills are required for this role?
The role requires deep expertise in ML system design, understanding of DevOps pipelines including CI/CD and Infrastructure as Code, customer experience skills to address client questions and deliver solutions, and collaboration to facilitate alignment across stakeholders.
What is the company culture like at Caylent?
Caylent puts people first, celebrates the culture of team members, fosters technological curiosity, and emphasizes staying curious through mentoring and learning from a world-class team.
What makes a strong candidate for this Machine Learning Architect position?
A strong candidate has deep expertise in ML system design, passion for customer collaboration and innovation, experience leading Agile ceremonies, translating requirements into backlogs, and mentoring teammates.
Caylent
Cloud-native services for AWS solutions
About Caylent
Caylent offers cloud-native services that help organizations utilize Amazon Web Services (AWS) to improve their technology and workforce. The company specializes in building, scaling, and optimizing cloud solutions, serving clients from those just starting their cloud journey to those seeking advanced capabilities. Caylent stands out by using a co-delivery approach, working closely with clients to create tailored solutions while also teaching them to manage their cloud environments. Their goal is to accelerate time-to-value for clients through expert consulting and ongoing support.
Irvine, CaliforniaHeadquarters
2015Year Founded
$15.8MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, CybersecurityIndustries
501-1,000Employees
Benefits
Remote Work Options
Health Insurance
Company Equity
Long-Term Disability
401(k) Company Match
Unlimited Paid Time Off
Paid Sick Leave
Paid Holidays
Parental Leave
Professional Development Budget
Performance Bonus
Home Office Stipend
Flexible Work Hours
Equipment & Office Stipend
Conference Attendance Budget
Risks
Rapid AI evolution may outpace Caylent's capabilities despite its partnership with Anthropic.
East Los Capital's exit could impact Caylent's financial stability and growth initiatives.
MeteorAI's adoption may face challenges if enterprises hesitate to integrate new AI frameworks.
Differentiation
Caylent is a Kubernetes Certified Service Provider, enhancing its cloud-native service offerings.
The company has a strategic partnership with Anthropic to advance enterprise AI solutions.
Caylent's MeteorAI framework accelerates generative AI experimentation for enterprises.
Upsides
Caylent won three 2024 AWS Partner of the Year Awards, boosting its industry credibility.
The growing demand for cloud-native security aligns with Caylent's expertise in cloud solutions.
Rising hybrid cloud adoption offers Caylent opportunities in tailored migration and optimization services.
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