Cloud Solutions Engineer

Siemens Digital Industries Software · Costa Mesa, CA · 3 wk ago

HybridResearchFull-time

About the role

We are Siemens Digital Industries Software, a leading provider of PLM software solutions. Our mission is to enable the digital transformation of industries through advanced simulation and cloud-based services.

Responsibilities

Develop and deploy services in AWS using Infrastructure as Code (IaC)
Design and implement microservices for self-contained business functionality in a SaaS product
Collaborate with multi-team development environments, including source control and code reviews
Operate production services with high availability and observability
Implement monitoring and alerting techniques for early problem detection and reporting
Manage CI/CD pipelines, including GitLab experience
Work with Agile methodologies and consider security and user data protection throughout the software development lifecycle

Requirements

Bachelor's degree in computer science, Software Engineering, or a related field
5+ years of professional experience as a software developer
Strong proficiency in Python, object-oriented programming, and design principles
Hands-on experience with containerization and orchestration (Docker, Kubernetes)
Good understanding of microservices and event-driven architectures
Solid experience with AWS services such as EC2, S3, IAM, SNS, SQS, Lambda, CloudFront, CloudWatch, CloudFormation, API Gateway, DynamoDB, EKS
Experience with serverless patterns and event-driven designs (Step Functions, EventBridge)
Operating production services with high availability and observability
Monitoring and alerting techniques for early problem detection and reporting
CI/CD pipelines (GitLab experience is an advantage)
Multi-team, collaborative software development (source control, collaborative design and code reviews)
Designing and implementing microservices delivering self-contained business functionality within a SaaS product

Qualifications

Experience with AWS Associate or Professional certification
Experience operating a 24x7, global, highly available, secure SaaS environment
Experience with Azure and/or Google Cloud Platform and managed Kubernetes (AKS/GKE)
Background or interest in large-scale numerical simulation / HPC workloads
Experience with job scheduling systems such as PBS, Slurm, LSF, or Grid Engine
Hands-on experience with multi-model NoSQL databases such as ArangoDB or equivalent technologies

Skills

Python
Object-oriented programming
Software design principles
Design patterns
Containerization and orchestration (Docker, Kubernetes)
Microservices
Event-driven architectures
AWS services (EC2, S3, IAM, SNS, SQS, Lambda, CloudFront, CloudWatch, CloudFormation, API Gateway, DynamoDB, EKS)
Serverless patterns and event-driven designs (Step Functions, EventBridge)
High availability and observability
Monitoring and alerting techniques
CI/CD pipelines (GitLab experience is an advantage)
Multi-team, collaborative software development (source control, collaborative design and code reviews)
Designing and implementing microservices delivering self-contained business functionality within a SaaS product

Benefits

We offer a comprehensive benefits and rewards package including a competitive basic salary, bonus scheme, generous holiday allowance, pension, private healthcare, and support for working from home. Details regarding our benefits can be found here.

Pay

The pay range for this position is $109,800 - $197,700 annually with a target incentive of 5-8% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

Schedule

This is a US-based role.