Jobs in the United States

25+ jobs

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Construction Engineer
Entergy
Metairie, LA
Performs a wide variety of planning, project management, and construction, and operations activities including emergency restoration duties. Project areas may include grid/system design,…
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Senior Data Engineer
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New Orleans, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
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Cyber - AI Engineer - Manager - Consulting
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As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
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Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Baton Rouge, LA
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
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Electrical Engineer 3
Pacific Northwest National Laboratory
Baton Rouge, LA
- $122,100 USD / year
…and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and…
Added 1 min ago
AT
Network Infrastructure Engineer II
Akamai Technologies, Inc.
Baton Rouge, LA
- $83,200 to $149,800 USD / year
As a Network Infrastructure Engineer II, you will oversee operations in our global data centers. You will monitor and maintain our data centers, networks, and servers worldwide. You will…
Added 1 min ago
Senior Cybersecurity IAM Engineer
Blue Cross and Blue Shield of Louisiana
Baton Rouge, LA
4 years of related work experience in the information security area required. Large scale operations experience preferred
Added 3 mins ago
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 4 mins 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 4 mins 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 4 mins 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 5 mins ago
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AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…$8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the core infrastructure that powers our entire AI…
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AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…round, we're looking for an exceptional AI Forward Deployed Engineer who can rapidly solve business problems and deliver immediate value across growth, sales, operations, and customer…
Added 7 mins ago
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IT Security & Infrastructure Engineer
Pacific Clinics
Arcadia, CA
- $87,423 to $107,519 USD / year
…direction of IT leadership, the IT Security & Infrastructure Engineer this is a mid-level role split evenly between information security operations and enterprise infrastructure management.…
Added 9 mins ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
We’re looking for a Core Engineer at the Principal Infra / SRE level to own the reliability, scalability, upgradeability, and operational excellence of our edge platform at fleet scale.
Added 9 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 10 mins ago
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Senior Software Engineer, Dermatology Inference
Tono Health
Brooklyn, NY
- $180,000 to $325,000 USD / year
Tono builds software and operations together to make specialty care faster to access and easier to deliver, starting with dermatology.
Added 12 mins ago
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Energetics Process Engineer
Supply Energetics
Parsons, KS
- $145,000 to $170,000 USD / year
We’re hiring an Energetics Process Engineer at our Prairie Forge production facility in Parsons, KS to manage industrial process and equipment for our overall physical operations. The role…
Added 13 mins ago
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Site Reliability Engineer (In-Person)
Refine
New York City, NY
- $95,000 to $125,000 USD / year
We are seeking a DevOps/Site Reliability Engineer to join our team. This role will focus on building and maintaining our continuous integration/deployment pipelines, ensuring high…
Added 13 mins ago
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ML Operations Engineer
Refine
New York City, NY
- $150,000 to $175,000 USD / year
We are seeking a Machine Learning Operations (ML Ops) Engineer to join our team. This role will be crucial in scaling and maintaining the ML infrastructure that powers Refine’s multimodal…
Added 18 mins ago
Site Reliability Platform Engineer (SRE)
Luupli
Remote, United States
We’re looking for a Site Reliability Platform Engineer (SRE) to help design, optimise, and scale Luupli’s infrastructure, with a specific focus on our mobile-first platform and Google Cloud…
Added 18 mins ago
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Site Reliability Engineer
Medina Talent Group
Irvine, CA
- $125,000 to $155,000 USD / year
As a Site Reliability Engineer, you will be immersed in a high-performing and frequently challenged team responsible for the reliability, scalability, and operational excellence of product…
Added 19 mins ago
Senior Power Systems Engineer
Analog Devices Inc.
CA
Datacenter infrastructure encompasses the physical and virtual resources that support a data center's operations. This includes hardware like servers, storage, networking equipment, power…
Added 19 mins ago
Senior Power Systems Engineer
Analog Devices Inc.
CA
Datacenter infrastructure encompasses the physical and virtual resources that support a data center's operations. This includes hardware like servers, storage, networking equipment, power…
Added 19 mins ago
Process Engineer I-IV
Compass Minerals
Ogden, UT
Summary: The Process Engineer serves as a technical leader responsible for process engineering activities associated with the design, operation, optimization, and continuous improvement of…

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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