Litmus
Senior Golang Developer Litmus Data Platform Santa Clara, California
Litmus, Santa Clara, California, us, 95053
Senior Golang Developer Litmus Data Platform
Litmus is a growth-stage software company that is transforming the way companies harness the power of machine data to improve operations. Our software is enabling the next wave of digital transformation for the biggest and most innovative companies in the world making Industrial IoT, Industry 4.0 and Edge Computing a reality. We just completed our Series B financing round, and we are looking to expand our team. We pride ourselves on building the most talented and experienced team in the industry who knows how to win. We work hard and the results speak for themselves. We're trusted by industry leaders like Google, Dell, Intel, Mitsubishi, Hewlett-Packard Enterprise and others as we partner to help Fortune 500 companies digitally transform. At Litmus you'll have the opportunity to support and influence the next wave of the industrial revolution by democratizing industrial data. We're leading the industry in edge computing to feed artificial intelligence, machine learning and other applications that rapidly change the way manufacturers operate. Join a growth-stage Silicon Valley company to build and define your career path in an environment that allows you to progress rapidly. Bring your unique experience, talent and expertise and add to it by collaborating with and learning from the brightest people in the industry. About the Role
Litmus is seeking a talented and driven Senior Golang Developer 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.
Litmus is a growth-stage software company that is transforming the way companies harness the power of machine data to improve operations. Our software is enabling the next wave of digital transformation for the biggest and most innovative companies in the world making Industrial IoT, Industry 4.0 and Edge Computing a reality. We just completed our Series B financing round, and we are looking to expand our team. We pride ourselves on building the most talented and experienced team in the industry who knows how to win. We work hard and the results speak for themselves. We're trusted by industry leaders like Google, Dell, Intel, Mitsubishi, Hewlett-Packard Enterprise and others as we partner to help Fortune 500 companies digitally transform. At Litmus you'll have the opportunity to support and influence the next wave of the industrial revolution by democratizing industrial data. We're leading the industry in edge computing to feed artificial intelligence, machine learning and other applications that rapidly change the way manufacturers operate. Join a growth-stage Silicon Valley company to build and define your career path in an environment that allows you to progress rapidly. Bring your unique experience, talent and expertise and add to it by collaborating with and learning from the brightest people in the industry. About the Role
Litmus is seeking a talented and driven Senior Golang Developer 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.