Staff/Principal Platform Engineer

AppGate

Staff/Principal Platform Engineer building and operating foundational platform behind AppGate's AI products. Driving technical direction and collaborating with cross-functional teams to align with AppGate's strategic vision.

Posted 6/26/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $185,000 - $270,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact

build and operate the foundational platform behind AppGate’s AI products.
own the platform spanning APIs, cloud services and AI/ML infrastructure, making it fast, reliable and observable at scale.
integrations: third-party connectors, APIs and platform integrations.
data platform: real-time and batch data ingestion pipelines, feature stores and data quality.
AI/ML infrastructure: model serving, inference pipelines and experiment tracking.
MLOps: model deployment, versioning, drift monitoring and lifecycle management.
platform observability: SLOs, operational health metrics and reliability tooling for AI systems.
implement observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust.
operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management.
engineer for reliability: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform.
automate everything: drive infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly.
set technical direction: define platform standards, architecture and best practices, raising the engineering bar through design reviews and mentorship.
collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate’s strategic vision.

Requirements

What you’ll need

extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact.
strong command of cloud platforms (AWS, GCP or Azure), containers and orchestration (Docker, Kubernetes), infrastructure-as-code (Terraform or equivalent) and CI/CD.
hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice.
experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring.
familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale.
fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems.
a record of setting technical direction, leading complex initiatives across teams and mentoring senior engineers.
pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account AppGate Website LinkedIn All Job Openings 501 - 1000 employees 🔒 Cybersecurity 🏢 Enterprise Cybersecurity
Enterprise AppGate is a global cybersecurity company that delivers high-performance Zero Trust Network Access (ZTNA) solutions for enterprises and government agencies. Its platform enforces identity-based, adaptive access policies using real-time risk scoring, AI-powered application discovery, and a direct-routed architecture designed to avoid cloud bottlenecks and scale with demanding environments. AppGate also provides professional services and cyber advisory offerings — including adversary simulation, penetration testing, and third-party access risk assessments — to help organizations implement and operationalize Zero Trust controls. Staff/Principal Platform Engineer 🔥 21 minutes ago 🏢🏡 New York City – Hybrid 💵 $185k - $270k / year ⏰ Full Time 🔴 Lead 🏗️ Platform Engineer AWS Azure Cloud Distributed Systems Docker Google Cloud Platform Grafana Kubernetes Prometheus Python Terraform Go Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
build and operate the foundational platform behind AppGate’s AI products.
own the platform spanning APIs, cloud services and AI/ML infrastructure, making it fast, reliable and observable at scale.
integrations: third-party connectors, APIs and platform integrations.
data platform: real-time and batch data ingestion pipelines, feature stores and data quality.
AI/ML infrastructure: model serving, inference pipelines and experiment tracking.
MLOps: model deployment, versioning, drift monitoring and lifecycle management.
platform observability: SLOs, operational health metrics and reliability tooling for AI systems.
implement observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust.
operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management.
engineer for reliability: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform.
automate everything: drive infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly.
set technical direction: define platform standards, architecture and best practices, raising the engineering bar through design reviews and mentorship.
collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate’s strategic vision. 🎯 Requirements
extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact.
strong command of cloud platforms (AWS, GCP or Azure), containers and orchestration (Docker, Kubernetes), infrastructure-as-code (Terraform or equivalent) and CI/CD.
hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice.
experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring.
familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale.
fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems.
a record of setting technical direction, leading complex initiatives across teams and mentoring senior engineers.
pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Head of Enterprise API – Platform Engineering 🕒 October 28, 2025 Guardian Life 5001 - 10000 💸 Finance 🧘 Wellness Website LinkedIn All Job Openings Head of Enterprise API & Platform Engineering leading API-first architecture at Guardian. Collaborating with senior leaders to drive alignment with enterprise technology strategy. 🏢🏡 New York City – Hybrid 💵 $116.3k - $191.2k / year 💰 Non Equity Assistance on 2016-08 ⏰ Full Time 🔴 Lead 🏗️ Platform Engineer 🦅 H1B Visa Sponsor Apache AWS Cloud Docker Grafana GraphQL GRPC Java JavaScript Jenkins Kafka Kubernetes Microservices Node.js NoSQL Prometheus Python React SQL Terraform TypeScript .NET View More Platform Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

ATS Keywords

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Hard Skills & Tools

MLOpsmodel servinginference pipelinesdata ingestion pipelinesinfrastructure-as-codeCI/CDobservabilitybackend programming (Python, Go)SRE practicesdata quality

Soft Skills

collaborationmentorshipleadershipownershippragmatismrigorcommunicationstrategic alignmentinitiativeadaptability