C#/.NET Backend Engineer — Azure Telemetry

ERock

Houston (TX)

Hybrid

USD 110,000 - 160,000

Full time

5 days ago

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Benefits offered by this job

Competitive Pay

Medical Insurance

Dental Insurance

Vision Insurance

Prescription Drug Coverage

Life Insurance

FSA

HSA with company contrib

Wellness Programs

401(k) with match

Paid Time Off

Paid Holidays

Hybrid Schedule

Job summary

ERock is seeking a software engineer to build and maintain backend services in C#/.NET on Azure, handling time-series telemetry from edge devices and cloud ingestion. You will work on resilient data pipelines amid intermittent connectivity and provide maintainable dashboards for operations and manufacturing.

Ideal candidates have 3+ years in software engineering, strong OO design, Azure experience, and comfort with Linux, REST, and CI/CD.

Qualifications

3+ years of professional software engineering experience.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
Proficiency with C#/.NET and OO design.
Experience building cloud applications; Azure strongly preferred.
REST APIs and relational databases; familiarity with time-series data stores.
Linux experience; logs and troubleshooting on remote machines.
Experience with automated testing and CI/CD.
Ability to investigate issues using logs, metrics, and traces, and explain findings clearly.
Willingness to learn fast and use AI tools to move faster.
Based in the Greater Houston area with hybrid work from our Houston office.
Mobility to work in standard office setting and on factory floor.

Responsibilities

Build and evolve C#/.NET back-end services on Azure that carry telemetry from edge devices through cloud ingestion into APIs, stores, and tools.
Ensure ingestion paths handle intermittent connectivity, devices going offline, and late/duplicate/out-of-order messages.
Shape how we capture, query, and retain large-scale time-series telemetry while keeping solutions simple.
Diagnose end-to-end issues using logs, metrics, and traces and explain findings clearly.
Improve and maintain internal applications, factory-floor stations, and dashboards used by operations and manufacturing teams.
Write automated tests and ship via CI/CD pipelines; keep services observable and maintainable in production.
Contribute to design and system documentation reviewed by security teams.
Collaborate with software, hardware, data science, and engineering teams to turn signals into insights.