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Senior Backend Developer – .NET
SysMap Solutions. Develop and maintain messaging consumers using .NET and Azure Functions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining .NET applications, REST APIs, and microservices within Azure and Kubernetes environments. Proficient in troubleshooting and resolving issues in distributed systems while leveraging artificial intelligence tools for enhanced productivity.
Highest-signal resume keywords
C# / .NET Core 6+REST API DevelopmentMicrosoft Azure FunctionsKubernetes DeploymentsCI/CD with Azure DevOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
C# / .NET Core 6+REST API DevelopmentSQL ServerUnit TestingIntegration TestingAzure FunctionsKubernetesMessaging TechnologiesArtificial Intelligence ToolsElasticsearch
Soft Skills
Strong Communication Skills
Tools & Technologies
Azure DevOpsGitDockerApplication InsightsGrafanaDatadogRabbitMQSQSKafkaHelm
Industry Keywords
Event-Driven ArchitectureMicroservicesDistributed EnvironmentsEducation DomainCRM Domain
Tech Stack
Tools & technologiesAzureDockerElasticSearchGrafanaKafkaKubernetesRabbitMQSQL.NET
About the role
Key responsibilities & impact- Develop and maintain messaging consumers using .NET and Azure Functions.
- Develop and maintain REST APIs and system integrations.
- Work in an event-driven microservices ecosystem with multiple systems and integrations.
- Participate in deployments and operations across Kubernetes clusters and Microsoft Azure resources.
- Investigate and resolve failures in dead-letter queues (DLQs), messaging issues, and inconsistencies between systems.
- Integrate systems through REST APIs and asynchronous events.
- Investigate and resolve issues in distributed and production environments.
- Troubleshoot pods, logs, scaling, and rollbacks in Kubernetes.
- Work with multiple interdependent microservices and complex business rules.
- Participate in CI/CD workflows and deployments.
- Use artificial intelligence as a productivity tool throughout the development lifecycle, including code generation, analysis, debugging, and automation.
- Debug end-to-end flows, from the event through the consumer, external API, and database.
- Collaborate with the team to discuss and define technical solutions.
Requirements
What you’ll need- Strong experience with C# / .NET Core 6+.
- Experience developing REST APIs.
- Knowledge of Git, branching strategies, code review, and CI/CD.
- Experience with SQL Server or an equivalent relational database.
- Experience with unit and integration testing.
- Hands-on experience with artificial intelligence tools applied to software development, such as KIRO or similar tools.
- Experience with Microsoft Azure, particularly Azure Functions, Azure Service Bus, Blob Storage, and Application Insights.
- Experience with Kubernetes, including deployments, pod troubleshooting, scaling, rollbacks, and log analysis.
- Experience with CI/CD using Azure DevOps, GitHub Actions, or similar tools.
- Experience with messaging and event technologies, using Azure Service Bus, RabbitMQ, SQS, or equivalent platforms.
- Knowledge of queues, topics, dead-letter queues (DLQs), and retry policies.
- Experience with Kafka or an equivalent technology for producing and consuming events.
- Knowledge of event-driven architecture, including idempotency, ordering, DLQs, and replay.
- Comfortable working in distributed environments with multiple integrations.
- Ability to independently investigate and resolve production issues.
- Strong communication skills for discussing technical solutions with the team.
- Experience with Elasticsearch, including queries, aggregations, and indexes.
- Knowledge of Microsoft Dynamics 365 and OData APIs.
- Experience with Docker, including image building, Docker Compose, and troubleshooting.
- Knowledge of Helm charts and Kubernetes manifests.
- Experience with feature flags for gradual rollouts.
- Knowledge of observability tools such as Application Insights, Grafana, Datadog, or similar platforms.
- Experience in the education or CRM domain.
- Experience integrating legacy and modern systems.
- Experience with HPA, probes, and resource limits in Kubernetes.
- Experience with generative AI beyond coding assistants, such as integrating LLMs into pipelines, RAG, and embeddings.
Benefits
Comp & perks- No benefits, perks, or additional compensation are explicitly stated in the posting.