Jobs in the United States

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Added 3 mins ago
Senior AI Engineer
DoubleVerify Inc.
United States
DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's…
Added 4 mins ago
Lead Software Engineer, Salesforce
LEN Lennar Corporation
Miami, FL
Establish standards for responsible AI use, including data grounding, prompt versioning, human-in-the-loop review, hallucination mitigation, and adherence to the Einstein Trust Layer and…
Added 5 mins ago
Staff Software Engineer, Tech Foundations
Airbnb
United States
…billion active time series. AI agents are now consumers of this data alongside engineers: they query telemetry to write and validate code and to help debug production issues. We continue to…
Added 15 mins ago
Senior Dynatrace Observability Engineer / Subject Matter Expert (SME)
Derex Technologies Inc
Remote, United States
Position: Senior Dynatrace Observability Engineer / Subject Matter Expert (SME)
Added 17 mins ago
Electrical Onboarding and Implementation Specialist
Stratus
Remote, United States
…revolutionize the construction industry by providing innovative data driven solutions that seamlessly layer across a contractor’s entire workflow from design, to fabrication, to…
Added 18 mins ago
Forward Deployed Engineer
Intuit
Mountain View, CA
Your job is the last-mile layer: wiring existing AI Agent capabilities into one customer's specific data, workflows, and edge cases, fast e
Added 19 mins ago
Project Engineer I
Honeywell
Houston, TX
…operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed…
Added 20 mins ago
A
Principal DevOps / Data Engineer
Alder
Newton, MA
- $175,000 to $195,000 USD / year
Alder is building an intelligence-first operating system for eldercare, on AWS with a data lakehouse at its core. The Principal DevOps & Data Engineer is a hybrid role that owns two tightly…
Added 30 mins ago
Sr. Analytics Engineer
Pelago
Manhattan, NY
We transform complex healthcare and product data into clean, reliable, well-documented models that power reporting, experimentation, AI initiatives, and day-to-day decision-making across…
Added 32 mins ago
RU
Salesforce Cloud Solutions Architect
Randstad USA
Needham, MA
- $75 to $100 USD / hour
…overarching agent experience. Set architecture standards for data models, data ownership, sharing, security, and high case volumes within governor…
Added 36 mins ago
Data Engineer
STULLER INC.
Lafayette, LA
The Data Engineer is responsible for building and maintaining data pipelines that move and transform data from Stuller’s systems into its cloud data warehouse. Working with senior team…
Added 39 mins ago
Senior Data Engineer, Data Analytics
Agility Robotics
Remote, United States
We are looking for a Senior Data Engineer to join our Data Platform team and help shape the foundation of data-driven operations at Agility. In this role, you’ll work closely with robotics…
Added 39 mins ago
Software Engineer I - XMD
Qualtrics
Seattle, WA
…moments that matter. As Qualtrics builds its next-generation XM Data & AI Platform, you’ll work on the data layer it depends…
Added 39 mins ago
Software Engineer II - XMD
Qualtrics
Seattle, WA
…moments that matter. As Qualtrics builds its next-generation XM Data & AI Platform, you’ll work on the data layer it depends…
Added 42 mins ago
Senior Integration Engineer
Equs, Inc.
Remote, United States
We are building toward that future across every layer it requires: the infrastructure that makes it possible, the standards that make it interoperable, and the experiences that bring it to…
Added 51 mins ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Develop real-time data processing for heterogeneous sensors, including state estimation and threat detection.
Added 55 mins ago
Data/Visualization Engineer SME
Leidos
Fort Belvoir, VA
Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of…
Added 55 mins ago
HA
All Levels: Product Engineer
Hadrian Automation
San Francisco Bay Area, CA · Torrance, CA
- $223,000 to $359,000 USD / year
There's no PM handing you a PRD and no layer between you and your users. Product judgment, technical depth, and the ability to move quickly all matter. The team is early, and the people…
Added 55 mins ago
Sr Security Engineer, Leo Security
Amazon
Herndon, VA · Arlington, VA
…afternoon you could be red-teaming the platform's reasoning layer, crafting inputs that try to steer an agent into an action it should refuse. The next day you might take fresh threat…
Added 1 hour ago
Sr. Software Engineer – AI and Automation (Team Breeze)
Travelers Indemnity Co
Hartford, CT · Atlanta, GA
Build and maintain the application layer across Python and TypeScript/Node 24 (Lambda xAPIs) and React 19/Vite for front-end UI experiences.
Added 1 hour ago
MF
Design Engineer
Method Financial
New York, NY · Austin, TX
- $150,000 to $200,000 USD / year
We're hiring Method's first Design Engineer. This is someone who spends most of their time in the code, but with an elite eye and talent for product, visual, and motion design. You'll…
Added 1 hour ago
Transport Network Engineer III
LEIDOS, INC.
Pearl Harbor, HI
Possess understanding of Physical (Layer 1) and Data Link (Layer 2) network troubleshooting.
Added 1 hour ago
Sr. AI Engineer - IT
LogicMonitor
Austin, TX
LogicMonitor’s AI Fabric is our enterprise AI operating layer: the shared services and guardrails that let teams build and run AI agents and workflows with trusted context, approved tools,…
Added 1 hour ago
AI Engineer III
Mariner Finance
Plano, TX
Be responsible for building and maintaining the knowledge layer and backend services that power enterprise AI agents. Develop the skills and tool registries, knowledge graph components,…
Added 1 hour ago
TT
Senior AI/ML Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $275,000 USD / year
Join an AI-focused team building the systems layer for a process intelligence platform. You will turn complex enterprise data into reliable, useful product experiences powered by hosted AI…

Closed listing

Skyflow

Senior Site Reliability Engineer/Cloud Platform Engineer

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Experience: 8+ years of experience in platform engineering, infrastructure engineering, DevOps, or SRE roles, with real ownership of production cloud infrastructure.
Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value from their applications, data platforms, and AI systems.

Skyflow is trusted by Fortune 500 enterprises, and leading SaaS companies in financial services, healthcare, retail, travel and hospitality.

Skyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com http://www.skyflow.com or follow on X https://twitter.com/SkyflowAPI and LinkedIn https://www.linkedin.com/company/skyflow/.

About the role

We're looking for a Platform Engineer to help build and run the infrastructure that powers a multi-tenant, security-sensitive B2B cloud product used by enterprise customers around the world. Our platform spans multi-tenant environments and single-tenant (BYOC) deployments into customer cloud accounts, so the bar for automation, consistency, and reliability is high - every environment needs to be provisioned, upgraded, monitored, and recovered the same way, at scale, with minimal manual intervention.

This is a hands-on engineering role, not a ticket-queue ops role. You'll spend most of your time writing Go and Python to turn repeatable infrastructure work into platform capabilities - provisioning pipelines, internal CLIs, self-service tooling, and automation that lets the rest of engineering ship without waiting on infrastructure as a bottleneck. You'll also carry deep operational ownership: on-call, incident response, and root-cause analysis on the systems you build.

Collaborate with enterprise customers to understand their infrastructure and security needs, then build reusable, scalable solutions using Terraform, Helm, and self-service tools that can be standardized across customer environments with minimal customization.

You have:

8+ years of experience in platform engineering, infrastructure engineering, DevOps, or SRE roles, with real ownership of production cloud infrastructure.
Strong software engineering skills in Go and/or Python - you write tested, maintainable code and think of infrastructure automation as software, not scripting.
Deep hands-on experience with Kubernetes in production (workload scheduling, networking, autoscaling, upgrades) and Infrastructure-as-Code tooling such as Terraform, Pulumi, or OpenTofu.
Solid experience with at least one major public cloud (AWS or GCP or Azure); experience operating in all the three is a strong plus given our multi-cloud footprint.
Track record of building tools or platforms that other engineers use - internal CLIs, provisioning frameworks, self-service portals, or automation pipelines - not just maintaining existing infrastructure.
Comfort operating in a B2B environment with enterprise customers, where infrastructure changes carry compliance, security, and contractual weight (e.g. dedicated/BYOC deployments, uptime SLAs, audit requirements).
Strong incident-response instincts: you can debug distributed systems under pressure, drive a root-cause analysis to a real fix, and communicate clearly during and after an incident.
A bias toward root-causing and automating away recurring problems over repeatedly firefighting the same issue.
Lead, mentor, and technically guide a team of junior/early-career platform engineers.

You will:

Design and build automation that provisions and manages cloud infrastructure end-to-end - new environment onboarding, upgrades, scaling, and decommissioning - across multiple cloud providers (AWS, GCP) and multiple deployment models (multi-tenant and dedicated/BYOC).
Write production-grade Go and Python services and CLIs that turn infrastructure operations into self-service platform capabilities for other engineering teams, rather than one-off scripts or manual runbooks.
Own and evolve the Infrastructure-as-Code stack (Terraform/OpenTofu, Helm, GitOps/ArgoCD) that defines every environment, and drive migrations across the fleet (Kubernetes version upgrades, node pool migrations, service mesh changes) with minimal customer impact.
Operate and scale core platform services - Kubernetes clusters, service mesh (Istio), data stores (Aerospike, PostgreSQL), messaging (Kafka), and GPU-backed inference workloads - with a focus on capacity planning, cost efficiency, and right-sizing.
Build and improve observability and alerting (metrics, logs, synthetic monitoring) so that failures are caught before customers notice, and drive the automation that turns repeat incidents into permanent fixes.
Work directly with large enterprise customers and their infrastructure, security and platform teams to gather platform requirements. Design solutions that are built once for one customer and then reused across all environments as standard Terraform modules, Helm charts or self-service tooling, with minimal custom work.
Own the infrastructure side of customer onboarding, from technical discovery to go-live, and act as the bridge between customers and engineering. Anticipate integration gaps early, turn customer requests into well-scoped platform features, and drive feature expansion based on customer demand while keeping the architecture consistent.
Participate in an on-call rotation, lead incident response for the systems you own, and write root-cause analyses that result in concrete corrective action - not just documentation.
Partner with security and compliance stakeholders to build guardrails (secrets management, access control, network policy, audit logging) directly into the platform, so secure-by-default is the path of least resistance for every team.
Continuously identify manual, repetitive, or error-prone infrastructure work and eliminate it - the measure of success in this role is less manual toil across the org, not more tickets closed.

Nice to have

Experience with service mesh (Istio/Envoy), GitOps workflows (ArgoCD/Flux), or policy-as-code (OPA).
Experience operating stateful systems in production - distributed databases (Aerospike, PostgreSQL, Cassandra), message queues (Kafka), or GPU-backed inference workloads.
Experience with security-sensitive or regulated environments (PCI, SOC 2, HIPAA) and building compliance controls into infrastructure by default.
Experience with cost optimization and capacity planning at fleet scale (right-sizing, autoscaling policy design, spot/preemptible usage).
Contributions to open-source infrastructure tooling, or experience building an internal developer platform (IDP).

Our stack (roughly)

Go, Python · Kubernetes, Helm, ArgoCD · Terraform/OpenTofu · AWS, GCP · Istio · Aerospike, PostgreSQL, Kafka · Coralogix/Prometheus-style observability · GitHub Actions and Spacelift-style CI/CD for infrastructure changes.

Benefits:

Work from home expense
Excellent Health Insurance Options
Very generous PTO
Flexible Hours
Generous Equity

At Skyflow, we believe that diverse teams are the strongest teams. We invite applicants of all genders, races, ethnicities, nationalities, ages, religions, sexual orientations, disability statuses, educational experiences, family situations, and socio-economic backgrounds.

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