Staff Software Engineer

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Aspire Software

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1001 - 5000 Mitarbeiter

🏨 Gastgewerbe

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Hospitality • Logistics • Construction

Aspire Software engagiert sich dafür, Unternehmen durch Investitionen in deren Ressourcen, Wissen und Best Practices zu fördern, zu verbessern und zu erweitern. Sie konzentrieren sich darauf, Unternehmensleiter zu befähigen und Innovation durch dezentrale Entscheidungsfindung zu fördern, mit dem Ziel, ein kollaboratives und anpassungsfähiges Umfeld zu schaffen. Aspire Software bedient eine Vielzahl von Branchen und bietet Unterstützung in den Bereichen Fusionen und Übernahmen, internationale Expansion und Business Intelligence, wobei der Schwerpunkt auf langfristigen Kundenbeziehungen und Mitarbeiterentwicklung liegt.

Beschreibung

• Configure and maintain AWS services including VPCs, EC2 instances, queues, DocumentDB, load balancers, security groups, Kubernetes clusters, and container repositories, along with network security controls (firewalls, WAF, and network ACLs). • Build and manage Jenkins jobs and CI/CD pipelines that produce deployment artifacts, including ZIP packages and Docker images; maintain Kubernetes deployment configurations (kubectl, YAML). • Write Linux utility scripts to support cluster management, automate deployments and operational tasks, and troubleshoot infrastructure issues across distributed environments. • Develop and maintain applications in C#, T-SQL, Vue, HTML, and CSS; troubleshoot issues across the full stack including UI, API, database, messaging, and deployment layers. • Build and maintain core application services on ServiceStack and the LLBLGen ORM data-access layer; customize and support platform-integrated applications such as Umbraco and Identity Server. • Maintain and troubleshoot integrations between internal systems and external platforms; manage Git-based source control workflows (GitHub/GitLab) including branching, code reviews, and coordinated deployments. • Work with SQL Server and T-SQL for querying, troubleshooting, and supporting application data. • Support MongoDB/DocumentDB document storage and reason about relational and document database usage across application services. • Design and support event-based, message-driven architecture using MassTransit over message brokers such as Amazon SQS, RabbitMQ, and Apache MQ across distributed application services. • Apply AI-assisted development tools (e.g., GitHub Copilot, Devin) to coding, debugging, documentation, and PR workflows to measurably improve team productivity. • Review, validate, and govern AI-generated code and infrastructure-as-code; evaluate emerging AI productivity tools and recommend adoption across engineering teams. • Adapt deployment processes and engineering practices as platform requirements and tooling evolve. • Mentor and guide engineers across the stack, raising the bar on code quality, architecture, and operational practices. • Lead technical decisions and provide hands-on guidance on complex, cross-cutting problems from development through production troubleshooting. • Partner with engineering leadership to set technical direction, plan coordinated releases, and onboard and grow team members.

🎯 Anforderungen

• 8+ years of experience in software, DevOps, or platform engineering, including time as a senior individual contributor or technical lead, with 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, including hands-on experience building services with ServiceStack and the LLBLGen ORM, with supporting experience in Vue, HTML, and CSS, and the ability to troubleshoot across UI, API, database, messaging, and deployment layers. • Proven CI/CD experience with Jenkins and strong command of Docker and Kubernetes operations (kubectl, YAML deployment configs), plus Linux scripting for operational tasks. • Experience with SQL Server, MongoDB/DocumentDB, and event-based, message-driven systems (MassTransit, Amazon SQS, RabbitMQ, or Apache MQ). • Proficiency with Git-based source control workflows (GitHub or GitLab), including 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.