to join our innovative Engineering team. This is a unique opportunity to be at the forefront of industrial technology, building the core infrastructure for a first-of-its-kind Unified Namespace (UNS) platform. In this role, you will be instrumental in enhancing our product by developing robust, scalable integrations and adding more northbound streaming protocols. If you are passionate about streaming data, low-latency messaging, and creating extensible, high-impact solutions, we want to hear from you.
Key Responsibilities
Design and build
high-performance, Kubernetes-ready components using Golang.
Develop robust integrations
with streaming protocols like MQTT, Kafka, and AMQP to manage near real-time data ingestion and distribution.
Architect and implement
data transformation and serialization layers for high-throughput data pipelines.
Create a governance toolset
for managing data topics and ensuring data integrity.
Ensure system resilience
by implementing comprehensive error handling, retry strategies, and fallback logic.
Collaborate
with cross-functional teams, including Product, QA, and DevOps, to define, build, and deliver key product features.
Drive quality and performance
by conducting thorough unit, integration, and performance testing for all deployments.
Contribute to our knowledge base
by creating clear documentation and developer enablement resources.
Stay ahead of the curve
by keeping up with the latest trends in Golang, IIoT protocols, edge computing, and industrial integration.
Qualifications & Experience
A bachelor's or master's degree in computer science, Software Engineering, or a related technical field.
5+ years of hands-on experience
developing production-level applications in
Golang
.
Proven experience working with streaming data protocols such as
MQTT, Kafka, or similar.
Strong foundational knowledge of networking principles and asynchronous messaging systems.
Experience developing integrations with cloud platforms (
AWS, Azure, GCP
) and edge devices.
Proficiency with
SQL, NoSQL, GraphDB and time-series databases
.
Expertise with containerized environments, specifically
Kubernetes and Docker
, and modern development practices (
Git, CI/CD
).
Excellent problem-solving and debugging skills, especially within distributed systems.
Strong written and verbal communication skills and a collaborative mindset are important.
Nice to Have
Professional experience in industrial automation, manufacturing systems, or edge computing.
Contributions to open-source Golang projects or IIoT-related tools.
Familiarity with Unified Namespace (UNS) architectures or OPC UA-based systems.
Knowledge of graph databases.
Local to the Santa Clara and San Jose areas
Job Type: Fixed term contract
Contract length: 12 months
Pay: $73,987.23-$168,737.25 per year
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