Staff Software Engineer (United States)

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Configure and maintain AWS services
Build and manage Jenkins jobs and CI/CD pipelines
Write Linux utility scripts
Develop and maintain applications in C#, T-SQL, Vue, HTML, and CSS
Build and maintain core application services on ServiceStack and the LLBLGen ORM
Maintain and troubleshoot integrations between internal systems and external platforms
Manage Git-based source control workflows
Work with SQL Server and T-SQL for querying, troubleshooting, and supporting application data
Support MongoDB/DocumentDB document storage
Design and support event-based, message-driven architecture
Apply AI-assisted development tools
Review, validate, and govern AI-generated code and infrastructure-as-code
Evaluate emerging AI productivity tools
Adapt deployment processes and engineering practices
Mentor and guide engineers across the stack
Lead technical decisions
Provide hands-on guidance on complex, cross-cutting problems
Partner with engineering leadership to set technical direction
Plan coordinated releases
Onboard and grow team members

8+ years of experience in software, DevOps, or platform engineering
Hands-on AWS infrastructure management (VPCs, EC2, Kubernetes, load balancers, and network security controls such as firewalls, WAF, and network ACLs)
Strong full-stack development skills in C# and T-SQL
Hands-on experience building services with ServiceStack and the LLBLGen ORM
Supporting experience in Vue, HTML, and CSS
Ability to troubleshoot across UI, API, database, messaging, and deployment layers
Proven CI/CD experience with Jenkins
Strong command of Docker and Kubernetes operations (kubectl, YAML deployment configs)
Linux scripting for operational tasks
Experience with SQL Server, MongoDB/DocumentDB
Experience with event-based, message-driven systems (MassTransit, Amazon SQS, RabbitMQ, or Apache MQ)
Proficiency with Git-based source control workflows (GitHub or GitLab)
Branching strategies, code reviews, and coordinated deployments
Demonstrated ability to mentor engineers and lead technical decisions
Balancing hands-on contribution with guidance and team development

Demonstrated use of AI coding assistants (e.g., GitHub Copilot, Devin) to accelerate development and improve code quality in daily engineering workflows
Familiarity with CMS and identity platforms such as Umbraco and Identity Server
Experience supporting complex distributed applications from development through deployment and production troubleshooting

Skills