Jobs in the United States

25+ jobs

Added 27 mins ago
Senior Resident Solutions Engineer
Axonius Federal Systems LLC
On-site Washington, DC
Axonius Federal Systems is seeking a Senior Resident Solutions Engineer to join our team. This hands‑on individual contributor role focuses on designing, building, and owning high‑quality…
Added 30 mins ago
UI
Senior Software Engineer
Untamed Intelligence
Remote, United States
- $250,000 to $300,000 USD / year
As a Senior Software Engineer, you will design, build, and operate the platform: the learner-facing experience, the services behind it, and the AI systems that do the teaching.
Added 31 mins ago
Supervising Senior Automation Engineer I
Stellix
Foxborough, MA
We are currently looking for a Senior Process Automation Engineer who will develop high quality, well-tested and well-documented application software designs. You will lead DeltaV projects…
Added 31 mins ago
Senior IT/OT Engineer
Stellix
Foxborough, MA
Stellix is seeking a Senior IT/OT Engineer to design, build, and secure converged IT/OT environments for clients across Life Sciences and Critical Infrastructure. This is a client-facing…
Added 31 mins ago
Senior Automation Engineer (Back-End SCADA)
Stellix
Foxborough, MA
Lead design of Ignition gateway architecture for distributed and redundant control systems
Added 33 mins ago
Founding Tech Lead
Incompass
NY · New York, NY
Incompass Labs is looking for a Founding Tech Lead (Lead Software Engineer / Technical Lead / Senior Software Engineer) based in the NYC area to join our growing tech team and help scale a…
Added 34 mins ago
Principal Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for a Principal Engineer to lead the design and delivery of core platform capabilities across our stack. You’ll operate as a senior technical leader - owning architecture…
Added 39 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 39 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 41 mins ago
PC
Senior/Staff Infrastructure Engineer
PCR Consulting
San Francisco, CA
- $210,000 to $300,000 USD / year
Design distributed systems that scale with millions of messages per day across global orgs.
Added 44 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 44 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
Strong fundamentals in distributed systems, performance, and reliability; comfort owning production services end-to-end (e.g., Docker/Kubernetes deployments, APIs via REST/gRPC, and strong…
Added 44 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 44 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 48 mins ago
R
Backend Engineer (In-Person)
Refine
New York City, NY
- $75,000 to $100,000 USD / year
Senior GoLang Developer - Distributed Systems
Added 53 mins ago
Staff/Senior Software Engineer, CAD App (Full stack)
Motif
Remote, United States
Experience in building and maintaining complex high-performance distributed systems
Added 54 mins ago
SD
Senior Site Reliability Engineer (Disaster Recovery
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $145,000 to $200,000 USD / year
SunCore Digital is seeking a hands-on Senior Site Reliability Engineer (Disaster Recoveryr to assess, implement, test, and document service and data recovery capabilities.
Added 54 mins ago
SD
Senior Site Reliability Engineer
SunCore Digital
Remote, United States
- $145,000 to $185,000 USD / year
SunCore Digital is seeking a hands-on Senior Site Reliability Engineer to assess the current reliability and scalability of our systems, identify risks, and implement the technical changes…
Added 56 mins ago
Sr. SDE, AWS Agentic WorkSpaces - Forefront (Agentic Harness)
Amazon.com Services LLC
Seattle, WA
…embedding generative AI directly into our consoles and SDK. As a Senior Software Development Engineer you will be a key contributor to our agentic harness - the always-on platform layer…
Added 57 mins ago
TW
AI Marketing Project Manager
Together We Talent
Remote, United States
- $50 to $60 USD / hour
Marketing Technology / AI-Enabled Projects | Mid-Senior Level
Added 1 hour ago
Senior GCP Data Engineer
Comspark group
Sunnyvale, CA
6+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required
Added 1 hour ago
ET
Data Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $125,000 USD / year
We are looking for a motivated and enthusiastic Data Engineer to join our growing engineering team. This opportunity is open to candidates with 0–5 years of experience, including fresh…
Added 1 hour ago
RU
Senior Technical Lead - Java / Distributed Systems
Randstad USA
Washington, DC
- $55 to $60 USD / hour
Randstad is seeking a hands-on Senior Technical Lead - Java / Distributed Systems to drive the technical design, development, and delivery of core enterprise applications supporting…
Added 2 hours ago
Lead Agentic AI Offensive Security Engineer
Hewlett Packard Enterprise
Spring, TX · San Jose, CA · Durham, NC · Andover, MA · Fort Collins, CO · Frisco, TX
10+ years of experience in software, platform, distributed-systems, or AI engineering, with demonstrated technical leadership on production systems.
Added 2 hours ago
Senior Software Engineer, Search
Themis Solutions Inc.
Remote, United States
Professional experience building search systems, typically as a Search, Relevance or IR engineer.

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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