Dein persönlicher KI-Karriere-Agent
Software Engineer - Integrations & Agentic Workflows(m/w/x)
Maintaining integration infrastructure and implementing features for repository importing, binding, authentication, enhancing code quality with AI workflows. 3+ years solid Backend Engineering experience and Java proficiency essential. 27 PTO days, seniority-based additional PTO, 60% pension contribution.
Anforderungen
- Solid Backend Engineering (3+ years)
- Track record in building and maintaining backend systems
- Clean, testable code writing
- Attention to detail
- Java proficiency
- Comfort with Java ecosystem
- Ability to navigate large, established codebase
- Cloud or Distributed Systems Fundamentals
- Understanding of distributed environment communication (REST APIs, message queues, async processing)
- Hands-on experience with AWS or equivalent cloud platforms
- Comfort with deployment, logging, and observability basics
- Ownership mindset
- Ownership of task delivery
- Early risk identification
- High quality standards for production work
- Curiosity about AI and Agentic Systems
- Excitement for software development trends
- Experience with LLM APIs (OpenAI, Anthropic) (plus)
- Genuine curiosity and willingness to learn
- Ownership and accountability
- Responsibility for long-term health and correctness of shipped work
- Collaborative by default
- Clear communication
- Early alignment seeking
- Viewing candid feedback as growth tool
- AI-native mindset
- Treating AI tools as collaborators
- Output validation for AI tools
- Understanding AI tool limits
- Focus on higher-value design and problem-solving with AI tools
- Pragmatic and incremental approach
- Balance architectural excellence with quick, iterative value delivery
Aufgaben
- Maintain reliable integration infrastructure
- Explore AI-driven workflow systems
- Implement features for repository importing
- Implement features for binding
- Implement features for authentication
- Implement features for webhook processing
- Write clean, testable Java code
- Deploy code to AWS
- Monitor service health using metrics and logs
- Troubleshoot production issues
- Contribute to DevOps platform libraries and APIs
- Build and test AI agent connectors and APIs
- Gain practical experience with emerging patterns like MCP
- Utilize AI assistants for boilerplate tasks
- Utilize AI assistants for refactorings
- Utilize AI assistants for test scaffolding
- Review pull requests
- Write technical documentation
- Participate in design discussions
- Learn from staff engineers
- Contribute your perspective
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Java
- AWS
- REST APIs
- message queues
- LLM APIs
- OpenAI
- Anthropic
Benefits
Flexibles Arbeiten
- Hybrid work model
- Work-from-home option
Mehr Urlaubstage
- 27 PTO days
- Seniority-based additional PTO
Betriebliche Altersvorsorge
- 60% pension contribution
- Savings contribution (13.5-15.5%)
Attraktive Vergütung
- 2% risk contribution
Boni & Prämien
- Annual company growth bonus
Fokus auf Nachhaltigkeit
- Sustainable mobility options
Parkplatz & Pendelvorteile
- Carpooling
Öffi Tickets
- 60% transportation subscription refund
Team Events & Ausflüge
- Global annual kick-off
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Software Engineer - Integrations & Agentic Workflows(m/w/x)
Maintaining integration infrastructure and implementing features for repository importing, binding, authentication, enhancing code quality with AI workflows. 3+ years solid Backend Engineering experience and Java proficiency essential. 27 PTO days, seniority-based additional PTO, 60% pension contribution.
Anforderungen
- Solid Backend Engineering (3+ years)
- Track record in building and maintaining backend systems
- Clean, testable code writing
- Attention to detail
- Java proficiency
- Comfort with Java ecosystem
- Ability to navigate large, established codebase
- Cloud or Distributed Systems Fundamentals
- Understanding of distributed environment communication (REST APIs, message queues, async processing)
- Hands-on experience with AWS or equivalent cloud platforms
- Comfort with deployment, logging, and observability basics
- Ownership mindset
- Ownership of task delivery
- Early risk identification
- High quality standards for production work
- Curiosity about AI and Agentic Systems
- Excitement for software development trends
- Experience with LLM APIs (OpenAI, Anthropic) (plus)
- Genuine curiosity and willingness to learn
- Ownership and accountability
- Responsibility for long-term health and correctness of shipped work
- Collaborative by default
- Clear communication
- Early alignment seeking
- Viewing candid feedback as growth tool
- AI-native mindset
- Treating AI tools as collaborators
- Output validation for AI tools
- Understanding AI tool limits
- Focus on higher-value design and problem-solving with AI tools
- Pragmatic and incremental approach
- Balance architectural excellence with quick, iterative value delivery
Aufgaben
- Maintain reliable integration infrastructure
- Explore AI-driven workflow systems
- Implement features for repository importing
- Implement features for binding
- Implement features for authentication
- Implement features for webhook processing
- Write clean, testable Java code
- Deploy code to AWS
- Monitor service health using metrics and logs
- Troubleshoot production issues
- Contribute to DevOps platform libraries and APIs
- Build and test AI agent connectors and APIs
- Gain practical experience with emerging patterns like MCP
- Utilize AI assistants for boilerplate tasks
- Utilize AI assistants for refactorings
- Utilize AI assistants for test scaffolding
- Review pull requests
- Write technical documentation
- Participate in design discussions
- Learn from staff engineers
- Contribute your perspective
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Java
- AWS
- REST APIs
- message queues
- LLM APIs
- OpenAI
- Anthropic
Benefits
Flexibles Arbeiten
- Hybrid work model
- Work-from-home option
Mehr Urlaubstage
- 27 PTO days
- Seniority-based additional PTO
Betriebliche Altersvorsorge
- 60% pension contribution
- Savings contribution (13.5-15.5%)
Attraktive Vergütung
- 2% risk contribution
Boni & Prämien
- Annual company growth bonus
Fokus auf Nachhaltigkeit
- Sustainable mobility options
Parkplatz & Pendelvorteile
- Carpooling
Öffi Tickets
- 60% transportation subscription refund
Team Events & Ausflüge
- Global annual kick-off
Über das Unternehmen
Sonar
Branche
IT
Beschreibung
Sonar helps prevent code quality and security issues, enhancing developer productivity with AI-driven tools.
Noch nicht perfekt?
- Sonar
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