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Senior Staff Engineer

ICONMA, LLC

  • Redwood City, CA
  • 9 days ago
  • $100.80–$105.80 Per Hour

Highlights

High-Scale Engineering & Innovation Stream Processing Mastery: Architect massively parallel processing pipelines and stateful stream processing frameworks (utilizing tools like Apache Flink) to enable real-time anomaly detection. Architectural Strategy & Technical Vision Core Stack Evolution: Architect and optimize our primary ingestion and storage engines utilizing Java and PostgreSQL, ensuring high availability and performance at scale.

Numbers & Facts

LocationRedwood City, CA
Salary$100.80–$105.80 Per Hour

Description

Our client, a Digital Infrastructure company, is looking for a Senior Staff Engineer for their Redwood City, CA location.
 
Responsibilities:
  • The Senior Staff Engineer for NPE Observability is the preeminent technical strategist for Client’s global telemetry fabric. In this senior contract role, you will bridge the gap between high-scale distributed software and global network hardware, driving the architectural standards for our most complex data-intensive initiatives.
  • You will own the technical integrity of our streaming pipelines, ensuring telemetry from the global fleet is ingested, normalized, and processed with sub-second latency.
  • As a master of our tech stack (Java, Kafka, Postgres, Grafana), you will define the "Gold Standard" for technical excellence within the Network Platform Engineering (NPE) group.
Architectural Strategy & Technical Vision
  • Core Stack Evolution: Architect and optimize our primary ingestion and storage engines utilizing Java and PostgreSQL, ensuring high availability and performance at scale.
  • Real-Time Data Orchestration: Lead the design of high-throughput messaging systems using Apache Kafka to handle trillions of telemetry points with sub-second latency.
  • Unified Visibility: Define the global standard for observability visualization in Grafana, building complex, high-performance dashboards that aggregate data from diverse telemetry sources.
High-Scale Engineering & Innovation
  • Stream Processing Mastery: Architect massively parallel processing pipelines and stateful stream processing frameworks (utilizing tools like Apache Flink) to enable real-time anomaly detection.
  • Advanced R&D: Evaluate and prototype emerging technologies such as Model-Driven Telemetry (MDT) and ClickHouse/Thanos for long-term metric storage and high-cardinality data analysis.
  • Technical Roadmap Ownership: Drive the engineering team toward key milestones, ensuring the code we ship aligns with the 3–5 year long-term NPE vision.
Reliability & Systemic Leadership
  • Service Standards: Define and monitor critical SLI/SLO metrics (e.g., P95 response times) to ensure the platform maintains world-class performance and global ITIL compliance.
  • Incident Authority: Serve as the senior point of contact for complex root-cause analysis, identifying architectural weaknesses in the Java/Kafka/Postgres stack to prevent future outages.
  • Stakeholder Synthesis: Translate complex product requirements into deep technical specifications, managing relationships with both internal software teams and external network vendors.
 
Requirements:
  • Primary Skills: Java, PostgreSQL, Kafka, Kubernetes, SQL, Grafana.
  • Secondary Skills: Apache, Prometheus, Thanos, MDT (Model-Driven Telemetry).
  • 10+ years of professional experience in software engineering and distributed systems.
  • Domain Expertise: 5+ years of experience specifically in large-scale network engineering, telemetry, or observability platforms.
  • Java Expert: Mastery of Java for building high-performance, scalable backend services.
  • Data & Messaging: Deep expertise in PostgreSQL (schema design and tuning) and Apache Kafka (cluster architecture and stream management).
  • Visualization: Expert-level proficiency in Grafana for creating enterprise-level observability dashboards.
  • Large-Scale Systems: Proven experience with Prometheus, Thanos, or ClickHouse and working within a structured Agile/Scrum environment.
  • Bachelor’s or Master’s degree in Computer Science or a related technical field.
 
Why Should You Apply?

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