
1001 - 5000 employees
Founded 1999
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.
🔥 3 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1999
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.
• 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.
• 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.
• No benefits, perks, or additional compensation are explicitly stated in the posting.
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