Jobs in the United States

Group jobs by employerEmail me new jobs Save this search

Added 6 days ago
Senior Enterprise Applications Analyst – Microsoft 365 & SharePoint
Select Source Solutions
Remote, United States
The ideal candidate combines deep SharePoint and Microsoft 365 expertise with strong data, integration, automation, and business-systems experience. You should be comfortable working across…
Added 6 days ago
Client Integration Lead
Quadax
Middleburg Heights, OH
…commercial revenue cycle management applications. The Client Integration Lead will collaborate closely with clients and Quadax’s PMO, Implementation, Client Engagement, Integration…
Added 6 days ago
A
Golang Software Engineer
Actalent
Apex, NC
- $50 to $60 USD / hour
Work directly across multiple core codebases, including a device orchestration middleware, shared gRPC/protobuf API contracts, an embedded middleware application running on controller…
Added 6 days ago
Solutions Consultant
120 Water, Inc.
United States
…(Asset Compliance, Water Quality, 120Field, the 120Connect API, statistical analysis, and predictive modeling). The work is process and configuration mapping, not software development or…
Added 6 days ago
S
Data Engineering and Development VP
SSB&T
Quincy, MA
- $120,000 to $217,500 USD / year
· Familiarity with distributed systems, orchestration tools, and API integration
Added 6 days ago
Staff Data Engineer, Applied Data Science III
Electric Power Engineers
Austin, TX
Evaluate and document design tradeoffs involving relational databases, warehouses or lakehouses, batch or API integration, performance, scalability, maintainability, and cost.
Added 6 days ago
Experience Acceleration Developer
United States - Genesys Cloud Services, Inc.
Indianapolis, IN · Virtual Office, CA · Virtual Office, NC
The Platform Developer is a highly skilled technical expert responsible for developing, maintaining, and innovating the global demo environments used across Genesys. This role requires a…
Added 6 days ago
Senior ServiceNow HRSD Developer supporting Nvidia
Sustainable Talent
Santa Clara, CA
ServiceNow HRSD certification required
Added 6 days ago
Data Engineer
Stellantis
Auburn Hills, MI
Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
Added 6 days ago
Industrial Automation and Application Engineer
G A Richards Company
Grand Rapids, MI
· Hardware Integration: Establish wiring design, cabinet layouts, and installation of cabinet components (relays, terminal strips, surge suppressors, PLC components, Power Supplies, Fiber…
Added 6 days ago
Platform Engineering Lead - ServiceNow
Black & Veatch Family of Companies
Cary, NC · Overland Park, KS
Define integration architecture using Integration Hub, Representational State Transfer (REST) and Simple Object Access Protocol (SOAP) interfaces, and Management, Instrumentation, and…
Added 6 days ago
Cyber Test Engineer with DoD Secret / citizen
Veterans Enterprise Technology
Scott Air Force Base, IL
Added 6 days ago
Principal Full Stack Developer - Java, React
United Airlines
Chicago, IL
Must be able to work a hybrid schedule (2-3 days per week in office)
Added 6 days ago
Manager Application Development & Support
Blue Cross Blue Shield of Kansas
Topeka, KS
Added 6 days ago
CC
2027 Summer Intern: Software Engineer
Charter Communicatio
Englewood, CO
- $31,533 USD / year
Must have at least a 3.0 GPA or greater in current program
Added 6 days ago
IG
Servicenow Developer
Insight Global
Remote, United States
- From $80 USD / hour
Hands-on REST integration experience using IntegrationHub REST steps or outbound REST messages, including OAuth 2.0, JSON payloads, error handling, and retries.
Added 6 days ago
IG
Software Engineer
Insight Global
Charlotte, NC
- From $65.06 USD / hour
Support end-to-end integration between API services and other enterprise systems
Added 6 days ago
IG
DevOps Engineer (Integrations & Automation)
Insight Global
Remote, United States
- From $82 USD / hour
Platform contribution. Contribute to golden-path pipeline templates and guardrails for integration and API workloads, following the team's pipeline governance and IaC standards.
Added 6 days ago
Python Automation & SCM Engineer
Capgemini
Ariana, TN
We are looking for an engineer specialized in Python development, system integration and automation to contribute to the development and evolution of critical tools and applications
Added 6 days ago
Staff Backend Software Engineer (R50033532)
FOX
NEW YORK, NY
…operational logging that supports incident response. * Drive data and integration decisions across PostgreSQL, Redis-backed coordination, object storage, and systems such as data…
Added 6 days ago
Senior Frontend Engineer - Hashicorp Vault
IBM
Armonk, NY · POUGHKEEPSIE, NY · New York, NY
Debug and resolve complex UI issues, including API integration, performance optimization, and security vulnerabilities
Added 6 days ago
Lead Software Engineer - Consumer Community Banking
JPMorgan Chase
New York, NY
Lead the design and implementation of complex services and features across upstream/downstream systems; drive architecture decisions, API contracts, and versioning.
Added 6 days ago
Senior Routing Engine Developer (CX Platform)
Miratech
Remote, United States
We are looking for a Senior Routing Engine Developer to design and build the next generation interaction routing platform powering enterprise-scale contact center operation. You will…
Added 6 days ago
Senior Routing Engine Developer (CX Platform)
Miratech
Remote, United States
We are looking for a Senior Routing Engine Developer to design and build the next generation interaction routing platform powering enterprise-scale contact center operation. You will…
Added 6 days ago
Senior Routing Engine Developer (CX Platform)
Miratech
Remote, United States
We are looking for a Senior Routing Engine Developer to design and build the next generation interaction routing platform powering enterprise-scale contact center operation. You will…

Closed listing

Runware

Senior Security Engineer

Remote, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Posting language: English
Posted: Nov 4, 2026

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

About Runware Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million developers and 500 million end users, with 400,000+ models behind a single integration, at up to 10x lower cost per token than traditional providers. We are now building the AI Factory that runs it. The Sonic Inference Pod packs 1 MW of custom-designed compute into a 20-foot container with closed-loop, water-free cooling, sited wherever power exists. Pods are live in the US and Europe, and we are scaling to dozens of pods and tens of thousands of GPUs, all operated as one distributed fabric that reroutes traffic the moment a pod goes offline (announcement). Every one of those pods holds customer models, customer data and millions of dollars of GPUs, sometimes inside a customer's own perimeter or a sovereign jurisdiction. Keeping all of it secure without slowing anyone down is the job. The role As Senior Security Engineer, you will own the security of Runware's AI supercomputer: the bare-metal GPU fleet, the Sonic Inference Pods it lives in, the managed Kubernetes clusters we hand to customers, and the control plane that ties it all together across the US and Europe. You will design the controls, build the first version with your own hands, and set the standard for how security is run across every pod. This is a hands-on senior individual-contributor role. You will threat-model a new pod before it ships, harden the image that every GPU node boots from, prove to an enterprise customer's security team that their model weights never leave their tenant, and when something goes wrong, lead the response and fix the root cause so it never happens again. You will work directly with our CISO, with the inference engine, platform and hardware teams, and with the site teams deploying pods. Success means a customer workload on a shared pod is isolated as strongly as on a dedicated one, no human has a standing login to a production node, every change to the fleet is reviewed, signed and auditable, and an enterprise security review takes days instead of months. What you'll do

Own the security architecture of the fleet: host hardening for bare-metal GPU nodes, immutable images and a signed build pipeline, boot integrity, and the identity, secrets and access model for humans and services across every pod.
Secure multi-tenancy on shared infrastructure. Design and verify isolation between customer workloads at the network, Kubernetes, host and GPU layers, and produce the evidence that proves it holds.
Secure the managed Kubernetes offering: cluster hardening, admission control, RBAC, supply-chain controls for images, and a clean, auditable handover of clusters to customers.
Build security visibility across the fleet: logging, detection, alerting and audit trails from firmware to API, wired into the fleet dashboards and on-call so that an anomaly on one node in one pod is seen within minutes.
Lead security reviews and threat models for new pods, sites, servers and platform features, with a focus on real-world risk rather than checklists.
Run incident response for the infrastructure: investigation, containment, recovery and post-incident learning, as part of the on-call rotation.
Own vulnerability management for the fleet: firmware, kernel, drivers, GPU stack and container images across thousands of nodes, with a patch cadence you can defend to a customer.
Answer enterprise customers' security due diligence with engineering evidence, and partner with the CISO on the SOC 2 and ISO 27001 controls that touch the infrastructure.
Design for sovereign and on-premise deployments: data residency, in-country key management, and physical and remote-access controls for a pod sitting on a customer's site.
Use AI to accelerate the work: automate evidence collection, log triage, configuration audits and runbooks with LLM-based agents, so that a very small team can secure a very large fleet.

Requirements

What we're looking for

8+ years in security or infrastructure engineering, with several of those securing production infrastructure at a company that runs its own hardware at scale.
A track record of building security controls, not just auditing them. You have taken a hardening standard, an access model or a detection pipeline from design to running across a fleet, and you know what breaks between the two.
Deep, current, hands-on Linux security expertise: kernel hardening, namespaces and cgroups, seccomp, eBPF, secure and measured boot, TPM-based attestation, and the tooling to see exactly what a process did.
Strong Kubernetes security: RBAC, admission control and policy engines, network policy, runtime security, image signing and SBOMs, and the ways a container escapes.
Fluent in network security on real hardware: segmentation and VLAN or VXLAN isolation, firewalls, out-of-band management networks, and the risks that live in BMC, IPMI and switch management planes.
Experience with identity, secrets and PKI at scale: short-lived credentials, workload identity, hardware-backed keys, and removing standing access without slowing engineers down.
Fluent in Python or Go, and comfortable writing the tooling, scanners and automation yourself rather than waiting for someone else to.
You use AI to accelerate your own output every day, for scripting, log analysis, code review, documentation and incident triage, and you have a clear view of how a small security team armed with these tools should operate differently.
A clear communicator who can explain the same trade-off to an engineer, a customer's CISO and a founder in one afternoon, and who assesses risk pragmatically rather than by the book.
Able to travel to sites in the US and Europe as needed.

Nice to have

Experience securing GPU clusters for AI training or inference: the NVIDIA driver and fabric manager stack, GPU multi-tenancy (MIG, time-slicing, per-tenant isolation), confidential computing on GPUs, and protecting model weights at rest and in flight.
Firmware and hardware security: UEFI, BMC and NIC firmware lifecycle, Redfish, hardware root of trust and supply-chain attestation for servers arriving at a site.
Hands-on experience with InfiniBand or RoCE fabrics and the security model of RDMA.
Delivering SOC 2 or ISO 27001 in a production environment, and compliance tooling and evidence automation.
Offensive experience: red teaming, penetration testing or vulnerability research against infrastructure.
Experience with sovereign, air-gapped or regulated deployments, including data residency across jurisdictions.
Physical security of data centres or edge sites: access control, tamper evidence and remote-hands procedures.

Benefits

What we offer

A rare mandate: secure an AI supercomputer from the firmware up, at a company that owns every layer of its stack and whose enterprise customers are trusting it with their models, with the backing to match.
Meaningful stock options.
We're a remote-first collective, meeting in person twice a year to plan, brainstorm and celebrate wins. We keep core hours for collaboration and calls; outside those, you set your own schedule.
Our release cycles are fast and intense, and they're followed by real downtime. We expect you to take it.
Generous paid time off, including vacation, sick days and public holidays.
Paid maternity, paternity and caregiver leave.
Twice-yearly company retreats in inspiring locations.

About employer

More about this job

Skills

Kubernetes
Supply chain management
Firmware
Incident response
Auditing
Linux
Direct inward dialing
Python
Go
Regulatory compliance
Penetration testing
Research

Report this job

Work requirements

Jobs in the United States