Edgescale AI ยท 1 day ago
Core Engineer - Data Systems (Multiple Levels)
Denver, CO
Full-time
Hybrid
Senior Level, Lead/Staff
$130K/yr - $185K/yr
6+ years expEdgescale AI is focused on deploying AI in the real world to help customers unlock transformative productivity gains. They are seeking a Core Engineer to build and maintain data systems that ensure reliable and observable data flows across edge and hybrid environments, while collaborating with various teams to create scalable platform capabilities.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Own core capabilities for ingesting, contextualizing, and serving data across edge and hybrid environments
Build and evolve connectors and integration patterns across OT/IoT protocols and enterprise systems, with strong reliability and observability
Implement and operate real-time streaming and event-driven data flows for low-latency use cases with clear failure modes
Define and enforce data contracts, schemas, and integration standards so producers and consumers operate predictably, and stop data flows that are not production-ready
Ensure data accuracy and traceability end-to-end, including lineage, auditability, and validation mechanisms so AI and operational systems can trust the data
Build and support internal data systems for platform operations, including observability pipelines, alerting, inventory/configuration databases, and fleet telemetry
Design scalable query and access patterns that support analytics and AI, including federated query and time-series access patterns
Partner with customer-facing teams for requirements and feedback, then translate learnings into durable platform capabilities that scale
Maintain crisp engineering documentation and reusable artifacts, using AI tools to accelerate implementation, debugging, and iteration loops, then refining with engineering judgment and rigorous review for production paths
Qualification
Required
6+ years building and operating production data systems, streaming systems, or integration platforms across complex environments
Experience operating real-time pipelines with strong reliability practices (e.g., Kafka-style event systems, robust observability/alerting, on-call readiness, incident response, and clear failure modes)
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or Go, APIs for ingestion/access, and structured testing)
Comfort working in ambiguity and making sound trade-offs under real constraints (latency, bandwidth, security, deployment timelines, and operational risk)
Clear communicator and strong collaborator across engineering and customer-facing teams, with the ability to define standards and enforce production discipline
Ownership mindset: outcomes over tasks
Preferred
Production experience with streaming and event-driven systems (e.g., Kafka) and operating them reliably under real-world constraints
Experience with federated query systems and large-scale analytics access patterns (e.g., Trino) and designing access patterns that support both operational use and AI workflows
Building data integration for OT/IoT environments, including protocols such as MQTT, OPC UA, Modbus, and DNP3, and handling schema drift, data quality, and connectivity variability
Experience building trusted data systems with contracts, validation, and lineage (e.g., schema enforcement, traceability, auditability, and mechanisms to block unsafe production data paths)
Partnering with customer-facing teams to turn messy integrations and requirements into repeatable platform capabilities, while keeping production systems reviewed, auditable, and operationally sound
Benefits
You are eligible for meaningful equity through stock options in an early-stage, high-growth company.
You are eligible to participate in company benefit plans, which may include health, dental, and vision coverage, a 401(k) with company match, flexible PTO, paid parental leave, commuter benefits, and relocation and visa support for eligible roles.
Company
Edgescale AI
Connecting AI to physical systems is hard. Scaling it to operations-grade is harder. ๐๐ฆ ๐ฆ๐ญ๐ช๐ฎ๐ช๐ฏ๐ข๐ต๐ฆ ๐ต๐ฉ๐ฆ ๐ด๐ต๐ณ๐ถ๐จ๐จ๐ญ๐ฆ.
2-10 employees
H1B Sponsorship
Edgescale AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (4)
Funding
Current Stage
Early StageTotal Funding
unknownKey Investors
Alumni Ventures
2024-01-19Seed
Company data provided by crunchbase