Junior Software Development Engineer
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Job Description
Engineer contributing to AI infrastructure and scalable cloud solutions for WEX, a global commerce platform. Leveraging cloud technologies for AI and machine learning workloads while collaborating with a talented team.
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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