Jobs in the United States

25+ jobs

Added just now
Commissioning Engineer
Big Sky Operations
Ashburn, VA · Atlanta, GA · Boykins, VA · Des Moines, IA · Raleigh, NC
As a Commissioning Engineer at Big Sky Operations, you will play a crucial role in overseeing and executing the commissioning process for MEP and control systems across various projects.…
Added 1 min ago
FY
Sr/Staff Mobile Engineer (React Native)
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a Senior/Staff React Native Engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of…
Added 1 min ago
FY
Sr/Staff Backend Engineer
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a senior backend engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of patients.…
Added 1 min ago
FY
Senior software engineer
Find Your Talent (FYT)
Remote, United States
- Up to $185,000 USD / year
As a Senior Software Engineer on the Fulfillment Team, you'll own the core applications and algorithms that power our freight and Less-Than-Truckload (LTL) carrier network. You will design,…
Added 2 mins ago
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AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…by automating processes that currently run on pre-internet systems. Fresh off our $8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the…
Added 2 mins ago
H
AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…by automating processes that currently run on pre-internet systems. Fresh off our $8M seed round, we're looking for an exceptional AI Forward Deployed Engineer who can rapidly solve…
Added 2 mins ago
AI Engineer - Voice
Harper
San Francisco, CA
…of production voice agents, then progressively build custom infrastructure using LiveKit and Pipecat as we scale. Your systems will handle everything from cold outreach and lead…
Added 3 mins ago
PC
Senior/Staff Infrastructure Engineer
PCR Consulting
San Francisco, CA
- $210,000 to $300,000 USD / year
Architect and implement the backend infrastructure powering a complex AI-driven platform ingesting and analyzing enterprise email data.
Added 3 mins ago
PC
IT Security & Infrastructure Engineer
Pacific Clinics
Arcadia, CA
- $87,423 to $107,519 USD / year
Works within the vision, mission and philosophy of the agency. Under the direction of IT leadership, the IT Security & Infrastructure Engineer this is a mid-level role split evenly between…
Added 4 mins ago
Senior Systems Engineer - Wireless & Wired Networking (Remote)
The Home Depot
Remote, United States
The Sr. Systems Engineer is responsible for independently developing, maintaining, and supporting The Home Depot's technical infrastructure that drives the success of The Home Depot and our…
Added 5 mins ago
Security Engineer
American Cyber
Remote, United States
American Cyber is seeking a Security Engineer / Cybersecurity Engineer (Independent Contractor – 1099) to support the design, implementation, and optimization of security solutions across…
Added 6 mins ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
10+ years building and operating production infrastructure and distributed systems, including reliability engineering at scale across complex, multi-tenant or fleet environments.
Added 6 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
Experience operating in complex environments across infrastructure, networking, security, data systems, and/or production AI (e.g., Linux, Docker/Kubernetes, REST/gRPC APIs, and modern…
Added 6 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
You’ll own core pieces of our private AI platform - agentic and multi-agent systems, repeatable AI structures, evaluation and reliability mechanisms, and platform capabilities like auto…
Added 6 mins ago
Core Engineer - Hardware Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on hardware systems to build and evolve the physical edge platform that runs our private AI and data infrastructure in the real world.
Added 6 mins ago
Core Engineer - Data Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable.
Added 6 mins ago
Data Engineer(UNPAID)
Holiday World
Remote, United States
We are seeking a Data Engineer to help build and optimize Holiday World’s data infrastructure. You will
Added 7 mins ago
Founding Engineer - Distributed Systems (Games + AI)
Phygtl, Inc.
Remote, United States
AI platform infrastructure such as vector search, retrieval systems, and agent orchestration that power contextual reasoning inside the system
Added 7 mins ago
Agentic Systems Engineer Intern (Summer 2026)
Phygtl, Inc.
Remote, United States
You will operate on top of existing real-time systems - not rebuild infrastructure.
Added 7 mins ago
TH
Staff Software Engineer, Product
Tono Health
Brooklyn, NY
- $180,000 to $275,000 USD / year
Small team, broad scope. Engineers regularly work across frontend, backend, data, and infrastructure.
Added 7 mins ago
TH
Senior Software Engineer, Product
Tono Health
Brooklyn, NY
- $160,000 to $275,000 USD / year
Small team, broad scope. Engineers regularly work across frontend, backend, data, and infrastructure.
Added 7 mins ago
TH
Senior Software Engineer, AI
Tono Health
Brooklyn, NY
- $180,000 to $275,000 USD / year
You'll also build the foundation other engineers build on: shared agent infrastructure, tool and memory abstractions, durable workflows, tracing, and the evaluation harnesses that tell us…
Added 8 mins ago
Process Engineer - Associate
syncreonAmerica
CARLISLE, PA
…at the plant level including; work studies to analyze work systems, developing standards and/or improvements to existing systems, providing input for the development of functional layouts…
Added 9 mins ago
Director of Power Engineering
Deca
San Francisco, CA
Develop and maintain technical standards for electrical infrastructure, including MV/HV distribution, substations, switchgear, protection systems, and backup power.
Added 10 mins ago
R
Solutions Engineer (Pre-Sales)
Refine
New York City, NY
- $135,000 to $160,000 USD / year
We are seeking a Solutions Engineer to join our GTM team. This role will partner closely with the sales team to deliver technical demos, proof of concepts, and serve as the technical…

Core Engineer - Data Systems (Multiple Levels)

Denver, CO, United States

This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).

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Job details

Pay: This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Posting language: English

Original job description

The Opportunity We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable. You’ll own core platform capabilities for ingesting, contextualizing, and serving customer data across OT/IT environments, and you’ll also build and support internal data systems that power Edgescale AI operations (observability, alerting, inventory, configuration, fleet state, and deployment telemetry). This role defines and enforces data contracts and integration standards, and can stop data flows that are not ready for production. You’ll ensure data is accurate and traceable, so data used by AI and operations can be trusted. You’ll partner with software, infrastructure, security, and commercial teams to translate requirements and feedback into durable platform capabilities that scale. This work is AI-native: you’ll use AI to speed up development and troubleshooting while keeping all production data paths reviewed and auditable. This is a hands-on role for someone who thrives in a high-ownership setting and wants to build the infrastructure that makes real-world AI possible. What You’ll Do

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.

What Success Looks Like

In your first 3 months, you will have:

Shipped a critical data system (customer-facing or internal) that delivers measurable improvements in reliability, latency, observability, or integration speed.
Established clear data contracts and validation mechanisms for at least one production-critical data flow, improving trust, traceability, and operational confidence.
Earned trust through autonomy and execution - becoming the go-to owner for a meaningful slice of the data platform and internal telemetry systems.

In your first year, you will be:

Owning major components of the data platform and internal data systems end-to-end with clear accountability for production outcomes and platform reliability.
Driving improvements that materially compress adoption cycles by making integrations faster, safer, and more repeatable across deployments.
Shaping platform direction through scalable patterns across connectors, streaming, semantics, governance, and observability that unlock new AI and operational use cases.

Who You Are

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.

Unique Experiences We Value

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

We work in a high-ownership, real-world startup environment where you’ll move fast, build new systems, and see your impact immediately - what you ship runs in the field and drives measurable customer outcomes.
We work alongside AI every day. Writing static code, docs, or plans “by hand” is no longer accepted - here you’ll use the latest AI tools to iterate and ship faster and to apply AI with our customers at scale.
You’ll take on elite technical challenges at the frontier of infrastructure, including next-generation cloud and IoT, hardware/software/networking in real-world edge environments, the foundation for data and AI inference, and industry-leading secure systems in demanding operational (OT) settings.
You’ll learn fast by working with exceptional teammates and collaborating directly with industry leaders as partners in software, AI, and infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Total compensation for this role includes equity in your work. 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.

Edgescale AI At Edgescale AI, we’re deploying AI in the real world - helping customers apply this technology to unlock transformative productivity gains. Our work sits at the intersection of infrastructure, security, networking, and AI, where reliability and performance are non-negotiable and where solutions demand deep, distributed systems thinking. We’re intensely AI-native. We build with AI, we ship AI, and we use it every day to accelerate how we design, test, deploy, and operate complex systems. If you want to help pave the application of AI in the real world, at global scale, we want to hear from you. Edgescale AI is building an inclusive, merit-based organization. We are an equal opportunity employer and do not discriminate on any legally protected status. We value diversity, inclusion, and a shared passion for creating real-world impact.

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