Workspace ONE
Website:
omnissa.com
Job details:
What type of work will I be doing? What assignments or requirements* will I be performing on a regular basis? What are my deliverables?
- You will work on a distributed application built on the event driven architecture.
- You will work with C# on the server side.
- You will work with SQL/PostgreSQL/Open Search for the database.
- You will work with Kafka/Redis/RabbitMQ for inter and intra service communications.
What will you bring to Omnissa?
- Bachelor’s or master’s degree in computer science or related field
- Strong experience building production backend services in C# / .NET. with 9 to 14 yrs experience
- Hands-on experience with Kafka or a comparable message/streaming platform.
- Solid working knowledge of PostgreSQL (or similar relational databases) and SQL.
- Familiarity with OpenSearch, Elasticsearch, or another search/indexing engine.
- Experience with observability and telemetry: metrics, logging, and distributed tracing, ideally with Prometheus and related tooling.
- A pragmatic approach to reliability, testing, and debugging distributed systems.
Nice to Have
- Experience with containerization and orchestration (Docker, Kubernetes).
- Familiarity with Grafana or similar visualization tools.
- Exposure to cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
- Understanding of infrastructure-as-code and modern deployment practices
Success in the Role: What are the performance goals over the first 6-12 months you will work toward completing?
- You will need to produce software design and execute them for new use cases for various platform business.
- You will need to produce design to scale the current system.
- You will be regularly evaluated on the quality of the product you create and the code you write to ensure continued advancement of your technical skills in an environment that looks to expand them.
- You will have to collaboratively work across other teams, design and contribute code to their code bases.
- You will look at the product as a whole and look for code/design/architecture gaps, scalability/usability/supportability challenges and propose/implement solutions for the identified gaps.
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