About the role
Growe welcomes those who are excited to:
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Design, build, and maintain backend services using .NET (C#);
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Develop and evolve microservices in a production environment;
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Support existing functionality and ensure backward compatibility of releases;
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Participate in task analysis, decomposition, and effort estimation;
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Deliver completed tasks for testing and collaborate with QA during test phases;
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Build integrations using asynchronous communication and event-driven patterns;
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Work with AI integrations;
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Identify performance bottlenecks and contribute to system design improvements;
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Contribute to service observability (logs, metrics, traces, dashboards, monitoring);
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Manage deployment configurations and manifests in Kubernetes environments;
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Work in a GitOps setup and participate in deployment and operational ownership;
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Collaborate with DevOps teams on infrastructure-related changes (including Terraform workflows);
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Participate in on-call rotation and handle production incidents;
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Identify technical debt and propose improvements;
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Perform high-quality code reviews focusing on maintainability, performance, and consistency.
We need your professional experience:
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5+ years of commercial backend development experience with C# / .NET, .NET Core / ASP.NET Core;
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1+ year of experience with Java;
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Solid understanding of microservices architecture and distributed systems;
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Experience with asynchronous communication and event-driven architectures;
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Experience with message brokers (Kafka or similar);
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Strong experience with relational databases, especially PostgreSQL, including query optimization, indexing, performance tuning, and data modelling;
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Experience writing Unit and Integration tests;
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Good understanding of software design principles (SOLID, separation of concerns, testability);
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Understanding of observability and monitoring in production systems;
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Experience troubleshooting performance and memory issues;
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Experience with AWS, Kubernetes, and Terraform will be a plus;
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Experience with Prometheus, Loki, Tempo will be a plus;
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Readiness to work with Java-based Kafka collectors/services containing business logic will be a strong plus;
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Experience with AI integrations, LLM-based solutions, or GenAI-related tooling will be considered an important advantage.
We appreciate if you have those personal features:
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Strive to learn new technologies/languages to solve non-standard challenges;
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Good communication skills;
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Multitasking, quick task execution;
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Good team player;
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Responsibility.
We are seeking those who align with our core values:
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GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;
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DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;
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BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.
Aplyr's read
GROWE is a dynamic tech company focused on AI transformation, attracting professionals keen on innovation and cross-disciplinary collaboration.
What's promising
- •GROWE is heavily investing in AI, offering opportunities for tech professionals to work on cutting-edge projects.
- •The company hires across diverse roles, indicating a broad scope for career growth and interdisciplinary collaboration.
- •GROWE's focus on AI transformation suggests a forward-thinking approach, appealing to those interested in future technologies.
What to watch
- •Limited public information about GROWE's financial stability may concern risk-averse job seekers.
- •The company's rapid expansion could lead to resource strain or unclear role definitions.
- •Potential candidates may find the company's strategic direction unclear due to limited public disclosures.
Why GROWE
- •GROWE's emphasis on AI transformation sets it apart in the tech industry.
- •The company offers a rare blend of tech and legal roles, highlighting its unique operational needs.
- •GROWE's hiring of a Head of AI Transformation underscores its commitment to leading in AI innovation.
Aplyr’s read is generated by AI from public sources. Was it useful?
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