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Added 22 mins ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 1 hour ago
GD
Senior Security Engineer
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NEW YORK, NY
- $122,200 USD / year
Added 1 hour ago
Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
Oracle
Reston, VA · Washington, DC
Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
Added 2 hours ago
BN
Senior Infrastructure Engineer - GPU Compute
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Remote, United States
- $175,000 to $250,000 USD / year
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Added 3 hours ago
SG
Backend Software Engineer, Weather & Aviation
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Boulder, CO
- $34,986 USD / year
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Added 4 hours ago
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…impact on people, and uplift our community.A Brief OverviewThe Senior Network Infrastructure Engineer will leverage their comprehensive expertise in enterprise network environments. Key…
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- $155,000 to $186,000 USD / year
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Enterprise Security Systems, Senior Engineer II
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Added 8 hours ago
Network Engineer
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Arlington, VA
The Network Engineer will design, implement, and maintain the WDP System's network infrastructure, ensuring secure and efficient connectivity within cloud and hybrid environments. They will…
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Arlington, VA
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Senior Software Development Engineer, Annapurna ML Systems, Trainium
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Austin, TX
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Staff / Principal Platform Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $185,000 to $270,000 USD / year
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Added 9 hours ago
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Senior Sales Engineer
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Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 9 hours ago
AC
Senior Sales Engineer
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Remote, United States
- $175,000 to $225,000 USD / year
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Added 9 hours ago
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Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 9 hours ago
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Senior/Staff/Principal AI/ML Engineer - Agentic AI Security
AppGate Cybersecurity, Inc.
Remote, United States
- $180,000 to $300,000 USD / year
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Added 10 hours ago
Principal Engineer Software Security Hybrid
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RTP, NC · San Jose, CA · Austin, TX · Chicago, IL
As a Principal Engineer on the AI Security team, you will be a senior technical authority shaping the security standard for every AI capability Cisco ships - to customers, partners, and…
Added 10 hours ago
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Senior QA/SDET
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- $180,000 to $210,000 USD / year
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Added 12 hours ago
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Added 14 hours ago
Senior FPGA Engineer
Cisco Systems, Inc.
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Senior Data Engineer, Network Platform
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Skyflow

Senior Site Reliability Engineer/Cloud Platform Engineer

Remote, United States

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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 3, 2026

Original job description

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:

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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More about this job

Skills

Go
Python
Incident response
Root cause analysis
IBM Terraform
DevOps
Kubernetes
Scheduling
Infrastructure as code
AWS
Google Cloud
Microsoft Azure
Regulatory compliance
Onboarding
PostgreSQL
Apache Kafka
Documentation
Apache Cassandra
Prometheus
GitHub
CI/CD

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