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Devops Platform Engineer Jobs in New York (NOW HIRING)

Vatic Labs

DevOps Engineer

New York, NY · On-site

$150K - $250K/yr

Owning the day-to-day operational health of our Google Cloud Platform (GCP) environment, including ... DevOps, platform operations, or site reliability engineering role - this is not an entry-level ...

NxT Level

Platform Engineer

Manhattan, NY

Platform Engineer Location: New York, NY Work Style: In-office Employment Type: Full-time About Our ... Their product is designed to give engineers time back by automating the operational work that slows ...

NxT Level

Platform Engineer

Manhattan, NY · On-site

Platform Engineer Location: New York, NY Work Style: In-office Employment Type: Full-time About Our ... Their product is designed to give engineers time back by automating the operational work that slows ...

NxT Level

Platform Engineer

Manhattan, NY

Platform Engineer Location: New York, NY Work Style: In-office Employment Type: Full-time About Our ... Their product is designed to give engineers time back by automating the operational work that slows ...

Tribus

DevOps Engineer - Tribus

Manhattan, NY · On-site

$58.25 - $79.75/hr

Devops Engineer - Proprietary Trading | Hong Kong - r elocation & visa support A leading proprietary trading firm is undertaking a major rebuild of its global trading platform - and the DevOps ...

Cyera

DevOps Engineer

New York, NY · On-site +1

$160K - $200K/yr

THE OPPORTUNITY We are seeking a highly skilled DevOps Engineer to join our fast-growing data ... Strong knowledge of cloud platforms (AWS, GCP, or Azure). * Hands-on experience with Kubernetes ...

ModernFi

Platform Engineer

New York, NY · On-site +1

$160K - $240K/yr

This is a founding Platform Engineering role, and from day one you will work on critical systems ... Cultivate a culture of operational excellence through code reviews, design discussions, mentorship ...

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As of Aug 7, 2026, the average hourly pay for devops platform engineer in New York is $66.22, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $76.01 per hour, depending on experience, location, and employer.
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Infographic showing various Devops Platform Engineer job openings in New York as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $137,748 per year, or $66.2 per hour.

Staff / Principal DevOps Engineer

AppGate Cybersecurity, Inc.

New York, NY • On-site

$57.75 - $79/hr

Full-time

Posted 21 days ago

Job description

Staff / Principal DevOps Engineer
Location: New York City Hybrid
Department: AI Platform & Infrastructure Team
Reports to: Principal Engineering Manager
About AppGate
AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at appgate.com.
About the Role
As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems.
We're looking for a Staff or Principal DevOps Engineer to design and build the deployment vehicle of our cloud and AI infrastructure, set the standards the rest of the team will build on, and grow the surrounding engineers into a capable platform team. You'll make the foundational decisions - cloud architecture, IaC conventions, CI/CD, observability, on-call - and then codify them so they scale beyond you. Equally important, you'll be the DevOps mentor for a team that doesn't yet have deep expertise in this area: you multiply your impact by levelling up the engineers around you, not by being the only person who can operate the system.
You should be genuinely excited by a blank slate, comfortable owning ambiguity, and just as happy writing the Terraform as you are drawing the architecture and teaching someone else to extend it.
Key Responsibilities
  • Build the Platform: Design, implement, and maintain CI/CD pipelines and self-service tooling from a greenfield starting point, enabling product teams to build, test, and deploy safely and quickly with automated guardrails, rollbacks, and paved paths. Stand up and operate container orchestration with Docker and Kubernetes, including self-managed, stateful technologies (e.g. Kafka, Elasticsearch) running reliably in production.
  • Infrastructure as Code: Automate infrastructure provisioning and configuration management using Terraform and Helm, with reusable modules and patterns others can safely build on.
  • Observability from day one: Instrument monitoring, logging, and alerting across services and infrastructure using tools such as Prometheus, Grafana, and the ELK stack (Elasticsearch, Logstash, Kibana); define the SLOs, error budgets, and operational health metrics the team will trust.
  • Security Best Practices: Implement security best practices across infrastructure and deployment workflows - secrets management, least-privilege access, certificate and key management, vulnerability remediation, and secure-by-default configuration - fitting for a company whose product is security.
  • Mentor and level up the team: coach engineers who are strong but new to DevOps/infra, run design reviews, pair on hard problems, write the docs and playbooks, and deliberately transfer expertise so the team can own and evolve the platform without depending on any one person.
  • Operationalize AI/ML: Build the MLOps foundation for AppGate's AI products - model serving and inference pipelines, model deployment, versioning, and drift monitoring, and the experiment-tracking and lifecycle tooling (e.g. MLflow, Kubeflow, SageMaker) that lets data scientists ship models safely and repeatably.
  • Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision.

Required Qualifications
  • Experience: extensive DevOps, 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.
  • Built from scratch: hands-on experience standing up infrastructure and CI/CD pipelines in a greenfield or early-stage environment - you have made the foundational decisions, not just operated within someone else's platform.
  • Observability expertise: 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.
  • Security mindset: familiarity with implementing security best practices in infrastructure and deployment workflows - secrets management, vulnerability remediation, and secure-by-default design.
  • Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems.
  • Mentorship & leadership: a demonstrated record of growing engineers and setting technical direction - you make the people around you better, write the docs, and lead through influence and teaching while staying very hands-on. You are comfortable being the most senior person in the room on this topic.
  • Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on.

Preferred Qualifications
  • Self-managed data infrastructure: experience operating Kafka, Spark, Elasticsearch, or comparable stateful systems in production.
  • AI/ML infrastructure: 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.
  • Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal.

Compensation
  • Staff: 185k-225k base
  • Principal: 215k-270k base
  • We offer performance bonuses and considerable equity.

AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

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