Senior Software Architect designing scalable SaaS applications for Euna Solutions. Leading architectural standards, mentoring teams, and ensuring alignment with business goals in a hybrid environment.
About the role
- AI Software Engineer developing cloud-based AI solutions at WEX. Building and maintaining cloud infrastructure to support AI/ML workloads using AWS and Azure.
Responsibilities
- Collaborate with partners/stakeholders to understand the requirements of our AI development teams and key challenges
- Design, build, and maintain cloud infrastructure on AWS and Azure to support AI/ML workloads
- Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes)
- Develop and maintain CI/CD pipelines for automating the deployment and management of AI infrastructure
- Develop and maintain monitoring and alerting systems to ensure the health and performance of production AI infrastructure
- Analyze system performance data to identify bottlenecks and opportunities for improvement
- Mentor and learn from your peers, foster continuous learning of new cloud technologies and best practices
- Get good at our team’s processes and best practices and apply them to given tasks with help from peers and your manager
- Make sure to understand the underlying problems you try to solve with these tasks, and your implementations effectively address these problems in a reliable and sustainable way
- Partner with team members in development and problem-solving
- Independently complete work and proactively seek reviews from senior engineers on your work to ensure high quality
- Perform technical discussions
- Proactively review work from peers and learn.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- OR demonstrable equivalent deep understanding, experience, and capability
- A Master's or PhD degree in Computer Science (or related field) is a plus
- 2+ years of experience in software engineering or cloud infrastructure, with a focus on supporting AI/ML workloads
- Demonstrable strong programming skills in a 3GL strongly-typed language like Java, Python, C/C++ or Golang
- Strong understanding of cloud platforms (AWS and Azure), including services relevant to AI/ML (e.g., EC2, S3, EKS, Azure ML, AKS)
- Hands-on experience with containerization (Docker) and container orchestration (Kubernetes)
- Experience with building and managing CI/CD pipelines for infrastructure and ML model deployment (using tools like Jenkins, GitLab CI/CD, etc.)
- Strong understanding of networking concepts (VPC, subnets, routing, firewalls) and experience configuring network infrastructure in the cloud
- Experience with infrastructure monitoring and alerting tools (e.g., Prometheus, Grafana, CloudWatch, Azure Monitor)
- Strong scripting skills (Python, Bash) for automation and configuration management
- Excellent problem-solving skills, with the ability to analyze complex systems and identify performance bottlenecks
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Benefits
- health, dental and vision insurances
- retirement savings plan
- paid time off
- health savings account
- flexible spending accounts
- life insurance
- disability insurance
- tuition reimbursement
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