Observability Pipeline Engineer

Are you looking for an opportunity to combine deep technical skill with big picture thinking to make an impact on the systems people depend on every day? You understand that observability starts with the data, and that every dashboard, alert, and investigation is only as good as the telemetry underneath it. As an observability pipeline engineer on our team, you’ll own the telemetry that feeds logging, monitoring, and security analytics across commercial and accredited government environments.

Your customers will trust you not only to build and operate the pipeline in Cribl and Splunk, but to evolve it - delivering source onboarding as code, applying AI to the parser and schema work that has traditionally consumed days, and building a pipeline that detects its own failures before anyone downstream is affected.

On our team, you’ll broaden your skills in Open Telemetry and telemetry standards. This role builds the pipeline itself. The work sits upstream of the dashboards, alerts, and searches everyone else uses, and its quality determines theirs. The ideal candidate comes from a data engineering, log platform, SIEM, or observability infrastructure background and has run high‑volume pipelines in production under real cost and retention constraints.

• Build and evolve the telemetry pipeline that carries logs, metrics, and events across every accredited environment, including sources, parsing, enrichment, normalization, routing, and destinations.
• Engineer the Splunk log platform from distributed architecture and index design through data onboarding and search performance.
• Automate source onboarding end to end so that adding a data source is a pull request rather than a ticket, with all pipeline configuration managed as code under Git Ops.
• Apply AI tooling to parser generation, schema mapping, and normalization, collapsing work that used to take days.
• Instrument the pipeline to detect its own failures, including silent sources, schema drift, and volume and cost anomalies, before anyone downstream notices.
• Design reduction, cardinality, retention, and masking strategies that control cost, protect sensitive data by destination, and keep the operational record provable.

• 4+ years of experience engineering telemetry, log, or event data pipelines at enterprise scale
• Experience building and operating a telemetry routing tier such as Cribl Stream, Open Telemetry Collector, Vector, Fluent Bit, or Logstash, including schema design, parsing, normalization, reduction, and retention tiering
• Experience with a query language, including SPL, DQL, LogQL, PromQL, or KQL
• Experience managing data volume, cardinality, and cost under volume-based or consumption-based licensing
• Experience managing configuration as code, including infrastructure as code such as Git Ops practice and Terraform, across multiple environments
• Experience writing production code in a language such as Python, working against REST APIs, and administering Linux and Windows systems
• Ability to learn new query languages
• Secret clearance
• Bachelor’s degree in CS, Information Systems, or Engineering

• Experience designing Open Telemetry Collector processors and pipelines at scale
• Experience handling PII or sensitive data in telemetry, including masking and in‑flight data‑protection controls
• Experience applying AI tooling to data engineering work, including parser generation, schema inference, or anomaly detection on data flows and validating the output before trusting it
• Experience with DoD cloud environments such as Azure or AWS IL5 / IL6, including change control and continuous monitoring obligations
• Experience with CIM-compliant data engineering
• Cribl Certified Observability Engineer (CCOE)…