Note: The job is a remote job and is open to candidates in USA. Catena Clearing provides a universal API for fleet telematics data, integrating and standardizing real-time vehicle information from major ELD and telematics providers. The Staff Platform Engineer will own the core infrastructure behind this platform, leading cloud infrastructure, distributed event pipelines, developer tooling, reliability, and technical direction at scale.
Responsibilities
- Core Platform Architecture: Lead the long-term technical strategy and architectural roadmap for Catena's high-throughput infrastructure, setting system design standards that balance scale, security, and velocity
- High-Volume Ingestion & Streaming: Architect and scale distributed event-streaming systems (e.g., Kinesis, Kafka) capable of processing millions of concurrent telemetry pings, location updates, and webhook deliveries without data drop-off
- Integration Frameworks: Design standardized abstractions, API gateways, and microservice patterns that empower product teams to rapidly build, test, and deploy new ELD and telematics integrations
- Infrastructure as Code & Cloud Operations: Own our cloud footprint (AWS), container orchestration, and IaC (AWS CDK) to maximize resilience, dynamic scaling, and cloud spend efficiency
- Observability & Reliability Engineering: Drive company-wide telemetry, distributed tracing, alerting, operational runbooks, and incident management protocols (SLIs/SLOs) to minimize MTTR across all critical data processing paths
- Technical Leadership & Mentorship: Champion engineering excellence through architectural reviews (RFCs), establish production standards, and actively mentor senior and mid-level engineers across the platform organization
Skills
- 8+ years of software, platform, or infrastructure engineering experience, with 2+ years operating in a Staff-level or principal technical leadership capacity
- Deep experience designing, building, and maintaining high-throughput, low-latency distributed event systems handling massive real-time streaming data
- Proven expertise with Docker, multi-region cloud deployment architectures (AWS), and IaC tools like the AWS CDK, Terraform or Pulumi
- Deep familiarity with distributed datastores, message brokers, caching mechanisms, and time-series databases (e.g., PostgreSQL/PostGIS, Kinesis, SQS, Amazon Data Firehose, Timestream, Kafka, Redis)
- High proficiency in modern backend and systems languages (especially Python) with strong instincts for building robust API gateways and webhook delivery engines
- US only, no sponsorship available
- Occasional travel for team and customer on-sites
- Prior experience scaling infrastructure at an API-first startup, developer platform, IoT connectivity provider, or real-time event-driven company
- Experience in telematics, IoT, logistics, fintech, or insurance data: anywhere the data has physical-world ground truth and someone makes a money decision on it
- Time-series or geospatial data at scale: geofencing, map matching, trip and stop inference, H3 or similar indexing
- Multi-tenant delivery patterns: Per-tenant credential isolation, consent-scoped access (OAuth)
- Experience building against many third-party APIs at once, where you control neither the schema nor the uptime
- Working in a SOC 2 environment, or helping get a company there
Benefits
- Full benefits
- Equity
- 401k match
- Remote-friendly environment
Company Overview