Our client is building the next generation of their high-frequency telematics platform .The engineering environment is deeply data-driven, highly event-oriented, and built for scale, leveraging technologies such as Kafka, Snowflake, Kubernetes, and a microservice architecture.
This role is ideal for a backend engineer who enjoys working close to the data: building lightweight Golang services, shaping ingestion flows, designing APIs, and optimizing how massive amounts of streaming data move through a distributed system. The team deploys frequently, operates with strong engineering standards, and maintains a highly automated CI/CD, testing, and IaC environment.
Role Focus
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Golang-heavy engineering across ingestion flows, APIs, and data processing pipelines
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Building and consolidating microservices (reducing ~60 ? ~20), improving reliability and operational simplicity
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Working directly with Kafka streams, Snowpipe ingestion, and high-volume event data
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Designing APIs (REST/gRPC), building internal tooling, and optimizing how data moves through the system
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Participating in robust code reviews, architecture discussions, and iterative deployment cycles
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Acting as a hands-on contributor who helps level up the team
What You’ll Work On
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Develop & optimize Golang-based services for real-time and batch data flows
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Build, refine, and consolidate APIs with a focus on reliability, observability, and low operational overhead
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Improve Kafka ingestion pipelines that feed a real time Snowflake environment
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Contribute to a highly automated deployment environment leveraging Kubernetes, EKS, Terraform, Helm
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Collaborate with product, data, and device integration teams to handle partner webhooks, external APIs, and streaming data
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Influence patterns around distributed systems, tracing, logging, and performance
Ideal Experience
Core must-haves
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Strong Golang engineering background (API development + data manipulation)
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Experience with distributed systems & microservices
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High-volume event streaming (Kafka preferred; Kinesis or similar OK)
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Strong database fundamentals: Postgres, SQL modeling, performance tuning
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Experience with modern cloud environments (AWS preferred; Azure/GCP fine)
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Experience with container orchestration and infrastructure as code (K8s, Helm, Terraform)
Nice-to-haves
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Snowflake + Snowpipe familiarity
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Datadog APM, distributed tracing
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Light React experience
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Some legacy PHP exposure (not required, but a plus)
Why It’s Interesting
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The engineering culture is pragmatic: not dogmatic about tools, open to crossover, quick deployments, and very little ceremony
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You get to build in an environment that will push your skills, without expecting you to be a unicorn
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan.
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