Remote jobs in the United States

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Added 50 mins ago
Senior Consultant, Data Engineer (JDE / SAP DS)
BizFirst
Remote, United States
Job Title: Senior Consultant, Data Engineer (JDE / SAP DS)
Added 52 mins ago
Director of Growth and GTM Operations
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Remote, United States
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Added 3 hours ago
Vice President, Product and Solutions Engineering
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Remote, United States
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Added 5 hours ago
Principal Engineer, Agentic AI
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Added 7 hours ago
Senior Full Stack Engineer
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Remote, United States
As a Senior Full Stack Engineer, you will play a key role in designing, developing, and scaling a sophisticated customer data platform that helps businesses seamlessly connect their data…
Added 9 hours ago
Senior Site Reliability Engineer/Cloud Platform Engineer
Skyflow
Remote, United States
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…
Added 10 hours ago
Senior Software Engineer II
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Added 1 day ago
Senior Software Engineer, Biggy Engineering
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Today, the Biggy engineering team operates across full-stack systems, APIs, workflow orchestration, secure ingestion, vector database indexing, automation frameworks, agent workflows, and…
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Principal Full Stack Software Engineer (P60) - Growth
Atlassian
Remote, United States
As a Principal Full Stack Software Engineer (P60) on Starburst, you will serve as the lead technical anchor for multi-quarter onboarding and cross-flow initiatives across Atlassian's…
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Senior Software Engineer
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Remote, United States
As a Senior Software Engineer in the Confluence AI group, you will build high-quality AI experiences that help teams create, discover, and collaborate on knowledge. You will work across the…
Added 1 day ago
GTM Systems Engineer
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We’re hiring a GTM Systems Engineer to build and scale the systems our revenue team runs on, reporting into the Revenue Operations lead and working hand-in-hand with sales leadership,…
Added 1 day ago
Agent Engineer
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Remote, United States
…useful product experiences. This role spans agent systems, platform engineering, integrations, and full-stack product…
Added 1 day ago
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Senior Software Engineer
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Remote, United States
- $170,000 to $190,000 USD / year
Seeking an experienced Senior Software Engineer to help design, build, and scale mission-critical systems that empower our clinicians, field responders, and care coordination teams. In this…
Added 1 day ago
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Product Engineer (Consumer, Design-Heavy)
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Remote, United States
- $200,000 to $350,000 USD / year
Own the full lifecycle of consumer products, from identifying user opportunities to shipping polished experiences and learning from real-world usage. This role combines product strategy,…
Added 2 days ago
Sr. Software Engineer (Node)
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Remote, United States
10+ years of professional experience in backend or full-stack software development.
Added 2 days ago
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Sales Development Rep -SF Bay Area
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Remote, United States
- $100,000 to $120,000 USD / year
We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Our platform runs the full stack an operator needs, from bare metal provisioning…
Added 2 days ago
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Sales Development Rep -NYC
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Remote, United States
- $100,000 to $120,000 USD / year
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Added 2 days ago
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Senior Software Development Engineer (Full Stack)
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Remote, United States
- $140,000 to $155,000 USD / year
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Added 2 days ago
Senior Forward Deployed Solution Engineer
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Remote, United States
…Our partner is looking for a Senior Forward Deployed Solution Engineer based in the United…
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Forward Deployed Software Engineer
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As a Forward Deployed Software Engineer, you will work at the intersection of software architecture, product development, and customer collaboration to solve complex technical challenges.…
Added 2 days ago
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Staff Developer Relations Engineer
Render
Remote, United States
- $204,000 to $250,000 USD / year
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of…
Added 2 days ago
Enterprise Account Executive
Observe.AI
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Observe.AI is the enterprise-grade Customer Experience AI platform that unifies conversations, intelligence, and action to turn contact centers into performance engines. Built to optimize…
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Forward Deployed Software Engineer
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Role Overview: We are looking for a Forward Deployed Software Engineer (FDSE) who thrives at the intersection of high-level architecture and deep-stack technical execution. This isn't a…
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Firmware Engineer
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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 2, 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 (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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