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Log Processor Operator Jobs in Washington (NOW HIRING)

Peraton

Cybersecurity Splunk Engineer

Herndon, VA · On-site

Join Peraton in supporting a large infrastructure operator to defend its corporate and operations ... Create new log and threat source types, field extractions, processing, etc. integrate CSOC tools ...

Peraton

Cybersecurity Splunk Engineer

Reston, VA · On-site

Join Peraton in supporting a large infrastructure operator to defend its corporate and operations ... Create new log and threat source types, field extractions, processing, etc. integrate CSOC tools ...

Fairfax County

Plant Operator III

Fairfax, VA · On-site

$62.48K - $104.14K/yr

Collects and Composites Samples for Plant Process Testing and Monitoring. Reads Meters, Gauges, And Other Instruments and Records Observations in Operating Log Sheets and Books. Preparing and ...

Reworld

Lead Equipment Operator

Derwood, MD · On-site

Receive and process inbound materials, through the safe operation of various types of industrial ... Receive, weigh, pack, and log containers, as necessary * Safely navigate and operate industrial ...

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How much do log processor operator jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for log processor operator in Washington is $22.51, according to ZipRecruiter salary data. Most workers in this role earn between $14.97 and $25.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Log Processor Operator, and why are they important?

To thrive as a Log Processor Operator, you need hands-on experience with heavy machinery, knowledge of forestry operations, and typically a high school diploma or equivalent. Familiarity with equipment like log processors, chainsaws, and computerized control systems is essential, and safety certifications such as OSHA are often required. Attention to detail, strong problem-solving skills, and effective communication are important soft skills for this role. These skills and qualifications are vital to ensure efficient, safe, and accurate processing of timber in demanding work environments.

What are some common challenges faced by Log Processor Operators, and how can they be managed effectively?

Log Processor Operators often encounter challenges such as maintaining consistent workflow despite fluctuating log supply, ensuring safety when operating heavy machinery, and troubleshooting equipment malfunctions. Effective communication with team members and supervisors helps in quickly resolving issues and minimizing downtime. Regular equipment checks, adherence to safety protocols, and continuous training are essential for managing these challenges and ensuring smooth operations in the mill environment.

What are Log Processor Operators?

Log Processor Operators are professionals responsible for operating and maintaining equipment that processes logs in sawmills or wood processing facilities. Their tasks typically include overseeing log sorting, debarking, cutting, and ensuring machinery runs efficiently and safely. They may also monitor production quality, troubleshoot equipment issues, and perform routine maintenance. Log Processor Operators play a crucial role in the timber industry by ensuring logs are processed to meet production and safety standards.

What is the difference between Log Processor Operator vs Log Analyst?

AspectLog Processor OperatorLog Analyst
CredentialsHigh school diploma or equivalent; technical certificationsBachelor's degree in data analysis, statistics, or related field
Work EnvironmentIndustrial settings, logging facilities, manufacturing plantsOffice environments, data centers, IT departments
Industry UsageLogging, manufacturing, resource extractionIT, cybersecurity, data analysis
Primary FocusOperating machinery to process logsAnalyzing log data for insights and reporting

While both roles involve working with logs, the Log Processor Operator primarily handles the operation of machinery to process logs in industrial settings. In contrast, the Log Analyst focuses on analyzing log data to identify patterns and generate reports, often in IT or cybersecurity environments.

What are popular job titles related to Log Processor Operator jobs in Washington? For Log Processor Operator jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Log Processor Operator jobs in Washington look for? The top searched job categories for Log Processor Operator jobs in Washington are:
What cities in Washington are hiring for Log Processor Operator jobs? Cities in Washington with the most Log Processor Operator job openings:
Log Processor Operator jobs near you
Infographic showing various Log Processor Operator job openings in Washington as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,814 per year, or $22.5 per hour.

Staff Software Engineer - Log Management

Radiant Security

Washington, DC

Other

Posted 24 days ago

Job description

Staff Software Engineer - Log Management

United States

About Us

Radiant Security is building the most advanced AI SOC platform, featuring unbounded alert triage, investigation, and response for security teams at scale. Our platform ingests alerts from across an organization's entire security stack (SIEM, EDR, identity, cloud) and uses AI to triage, investigate, and surface what actually matters. We're replacing alert fatigue with clear signal, so analysts can focus on real threats. We're a small, fast-moving team. We ship continuously, stay close to customers, and hold ourselves to a high standard. Our product touches the daily workflows of security teams, and decisions we make have a direct impact on how quickly threats get resolved. Join us and boost your career with hands-on AI experience.

The Role

As a Staff Software Engineer at Radiant Security, you'll own the full lifecycle of customer security telemetry — from ingestion to storage in our data lake. When customers face active incidents, our ingestion pipeline is mission-critical. Reliability and operational excellence here are product requirements, not just engineering ideals. You'll drive the scalability and reliability of our ingestion infrastructure, define the architecture of our data lake, and establish the DevOps practices that allow a lean team to evolve safely over time.

What You'll Do
  • Own and scale our ingestion platform end-to-end Design and operate high-throughput ingestion pipelines with zero-downtime deployment patterns (dual-write, backfills, safe rollback), ensuring resilience under real-world failure modes (backpressure under load spikes, delivery guarantees, DLQs, replay mechanisms) and enforcing strict tenant isolation (per-tenant rate limiting, noisy neighbor prevention, storage partitioning across pipeline and lake layers)
  • Define and evolve our data lake architecture Own storage layout, partitioning, schema design, and ensuring efficient high-throughput writes and reliable downstream consumption, while managing lifecycle (compaction, retention, cold storage, cost optimization)
  • Build and operationalize platform foundations Develop deployment pipelines for stateful services, per-tenant quota systems, synthetic load testing, and monitoring that the broader engineering team depends on
  • Establish reliability standards and operate in production Define and enforce SLOs (latency, durability, availability), including alerting, and incident response, while continuously improving observability and operational excellence
  • Drive technical leadership and platform strategy Partner with product and engineering leadership to translate strategic goals into clear requirements and execution plans, while mentoring engineers, setting technical direction, and raising the bar on design, reliability, and operational excellence across the team
Things We're Looking For
  • Strong backend and data systems experience Proven experience building and operating high-throughput ingestion systems in production, with strong backend programming skills (our stack uses Python, Golang, and Node.js)
  • Cloud, streaming, and data platform expertise Experience with AWS, GCP, or Azure (S3, GCS, Data Lake), streaming systems (Kafka, Kinesis — including delivery semantics and consumer group management), and large-scale data lake design (partitioning, formats, lifecycle)
  • Production-grade infrastructure and reliability practices Experience with zero-downtime migrations (dual-write, backfills, safe cutovers), Infrastructure as Code (Terraform, Pulumi), CI/CD (canary + rollback), and operating and monitoring data platforms in production (Prometheus, Grafana, Datadog), including SLO definition and incident response
  • Strong distributed systems and storage fundamentals Fault tolerance, backpressure handling, graceful degradation, partition tolerance, plus experience with databases, object storage, and performance tuning for high-throughput workloads
  • Modern infrastructure stack experience Containerization and orchestration (Docker, Kubernetes) for deploying and scaling stateful service
The Process

Application Review > People Screening > Hiring Manager Interview > Technical Interviews > Executive Interview

Apply