ServiceNow
Sr Staff Software Engineer
- Location
- New York, NEW YORK, United States
- Work model
- Remote
- Seniority
- Staff
- Employment
- FullTime
- Posted
- Added to Codestelle
Work location
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Listing locationNew York, NEW YORK, United States
Extracted 2026-10-06 · Automated text analysis, not employer confirmation.
Original job listing ↗Language requirements
- German
- Not specified
- English alone
- Not specified
Based on explicit wording in the listing. “Not specified” does not mean a language is optional.
About this role
As a Senior DevOps / SRE Engineer at Armis, you will play a critical role in the deployment, monitoring, and management of our complex, high-scale infrastructure in a security-first, regulated environment. This is a high-impact role with the autonomy to integrate new technologies and make key architectural decisions that shape the future of our platform.
You’ll work with a massive microservices ecosystem, diverse data stores, and one of the most advanced security configurations in the industry. Your mission: ensure seamless uptime, scalability, and security across all systems—while enabling rapid, automated provisioning and innovation.
Key Responsibilities
Design, build, and maintain highly available, scalable, and resilient production infrastructure across cloud environments.
Drive system-wide automated alerting and monitoring strategies for infrastructure and database environments.
Own the uptime and reliability of large-scale systems, including databases and distributed services.
Collaborate with DevOps, Engineering, Product, Security, and Operations teams to scale and secure our cloud-native platform.Enforce security and compliance best practices (e.g., FedRAMP, SOC 2) throughout the SDLC.
Evaluate and lead proof-of-concept projects for new tools or services that strengthen system performance and security posture.
Build Infrastructure-as-Code (IaC) using Terraform and/or CloudFormation.Maintain detailed documentation and provide on-call support for incident resolution and recovery.
Requirements
US Citizenship (Required)
5+ years of experience managing Linux servers in a global, cloud-based environment.
3+ years of hands-on experience with AWS infrastructure and cloud services.
5+ years of experience with Python and Kubernetes in production environments.
Proven experience managing in production, including troubleshooting cluster performance, auto-scaling, and service reliability.
Expertise in large-scale systems operations and database reliability engineering (DBRE).
Strong understanding of automated alerting, incident triage, and monitoring best practices.
Deep knowledge of networking (e.g., routing tables, service mesh, CNI).
3+ years experience with IaC tools such as Terraform or CloudFormation.Ability to independently manage tasks, deadlines, and priorities in a fast-paced environment.
Experience with AI Ops platforms or ML-driven observability tools, resource optimization, and security incident response.
Knowledge of LLM-based infrastructure automation or code generation tools (e.g., for IaC policy validation, documentation generation).
Preferred Skills:
Experience with government-related projects requiring US citizenship.
Background in security and compliance frameworks such as FedRAMP, GDPR, or SOC 2.
Experience in sensitive or restricted environments (e.g., FIPS, SELinux, air-gapped).Prior roles focused on database reliability engineering
For positions in this location, we offer a base pay of $190,900 - $298,000 plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.