Vectra AI is a global leader in AI-driven threat detection and response for hybrid cloud, multi-cloud, SaaS, identity, and enterprise environments. The company delivers advanced cybersecurity solutions powered by artificial intelligence, machine learning, cloud analytics, and Attack Signal Intelligence technology.

Organizations worldwide rely on Vectra AI to identify, investigate, and respond to sophisticated cyberattacks across cloud infrastructure, enterprise networks, and modern applications.

This opportunity offers engineers exposure to cloud security, DevOps engineering, Site Reliability Engineering (SRE), platform engineering, cloud automation, and large-scale production infrastructure supporting enterprise cybersecurity products.

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About the Role

Vectra AI is seeking a DevOps Engineer to join its Cloud Platform and DevOps team. The role focuses on cloud infrastructure automation, CI/CD engineering, production reliability, Kubernetes operations, AWS platform management, security-focused DevOps practices, and cloud-native engineering.

Engineers will work on critical production systems that power AI-driven cybersecurity products used by global enterprises.

This role is ideal for professionals interested in:

- DevOps Engineering

- Site Reliability Engineering (SRE)

- Platform Engineering

- Cloud Security Engineering

- Infrastructure Automation

- Cloud Operations

- Kubernetes Engineering

- Production Reliability Engineering

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Key Responsibilities

- Build and maintain CI/CD pipelines for automated deployments

- Support AWS cloud infrastructure and production environments

- Improve system reliability, scalability, and platform security

- Implement DevOps and SRE best practices across engineering teams

- Automate operational processes and infrastructure workflows

- Support multi-region cloud deployments

- Manage production incidents and operational issues

- Enhance monitoring, logging, metrics, and observability systems

- Collaborate with distributed global engineering teams

- Deliver internal platform services used across multiple business functions

- Improve deployment speed, quality, and operational reliability

- Support FedRAMP-compliant environments and security controls

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Required Skills

Cloud Platforms

- Amazon Web Services (AWS)

- Cloud Infrastructure Management

- Cloud Networking

- Cloud Security

DevOps & CI/CD

- GitHub Actions

- Jenkins

- Continuous Integration

- Continuous Deployment

- Release Engineering

Operating Systems

- Linux Administration

- Linux Troubleshooting

- Production Operations

Containers & Cloud Native

- Docker

- Kubernetes

- Serverless Computing

- Container Orchestration

Programming & Automation

- Python

- Infrastructure Automation

- DevOps Tooling

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Preferred Skills

- Kubernetes Administration

- Helm

- ArgoCD

- GitOps Workflows

- Site Reliability Engineering

- Database Administration

- RDS

- MariaDB

- DynamoDB

- Security Operations

- Vulnerability Management

- Incident Response

- Cloud Compliance

- FedRAMP Operations

- Distributed Systems

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Why Join Vectra AI?

- Work on cutting-edge AI-powered cybersecurity products

- Exposure to enterprise cloud security environments

- Build highly scalable production infrastructure

- Collaborate with world-class engineers and security experts

- Learn advanced Kubernetes and SRE practices

- Opportunity to work on multi-cloud and hybrid-cloud environments

- Competitive compensation and equity package

- Strong engineering culture focused on automation and innovation

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Career Growth Opportunities

After working in this role, engineers commonly progress to:

- Senior DevOps Engineer

- Site Reliability Engineer (SRE)

- Cloud Platform Engineer

- Kubernetes Engineer

- Cloud Security Engineer

- Infrastructure Architect

- DevSecOps Engineer

- Principal Platform Engineer

- Cloud Architect

- Engineering Manager

Cloud Security and DevOps Engineering remain among the highest-paying technology career paths globally due to increasing enterprise adoption of cloud-native infrastructure and cybersecurity platforms.

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Technologies You Will Work With

- AWS

- Kubernetes

- Docker

- Python

- Jenkins

- GitHub Actions

- ArgoCD

- Helm

- RDS

- DynamoDB

- MariaDB

- Linux

- Monitoring Systems

- Logging Platforms

- Observability Pipelines

- Security Scanning Tools

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Recently Asked DevOps Interview Questions

1. What is the difference between CI and CD?

Continuous Integration automates code integration and testing, while Continuous Deployment automates software delivery into production environments.

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2. What is Kubernetes?

Kubernetes is a container orchestration platform used to automate deployment, scaling, networking, and management of containerized applications.

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3. What is GitOps?

GitOps is an operational framework that uses Git repositories as the single source of truth for infrastructure and application deployment management.

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4. What is Infrastructure as Code?

Infrastructure as Code (IaC) enables infrastructure provisioning and management using code rather than manual processes.

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5. What are SLOs, SLIs, and SLAs?

SLIs measure service performance, SLOs define target reliability goals, and SLAs represent contractual service commitments.

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6. What is ArgoCD?

ArgoCD is a GitOps continuous delivery tool used to automate Kubernetes application deployments.

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7. What is Observability?

Observability refers to understanding system behavior through metrics, logs, traces, monitoring, and alerting systems.

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Resume Tips for DevOps Engineers

- Highlight AWS production experience

- Include Kubernetes deployment projects

- Showcase CI/CD pipeline implementations

- Add GitHub or GitLab repositories

- Mention Infrastructure as Code projects

- Include incident management experience

- Demonstrate monitoring and observability knowledge

- Quantify automation achievements where possible

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Salary Insights

Average DevOps Engineer salaries in the United States:

- Entry Level: $90,000 - $120,000

- Mid-Level: $130,000 - $180,000

- Senior Level: $180,000 - $250,000+

- Cloud Security Engineers: $170,000 - $300,000+

This Vectra AI role offers a highly competitive compensation package ranging from $130,000 to $175,900 plus equity and benefits.

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Benefits

- Competitive salary package

- Employee stock options

- Health insurance coverage

- Retirement savings plans

- Life and disability insurance

- Paid time off

- Wellness programs

- Employee recognition programs

- Career development opportunities

- Global engineering exposure

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Hiring Process

1. Resume Screening

2. Recruiter Discussion

3. Technical Assessment

4. DevOps Technical Interview

5. Cloud Infrastructure Interview

6. Team Collaboration Round

7. Final Hiring Manager Discussion

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Work Environment

- Enterprise-scale cloud infrastructure

- Security-first engineering culture

- Agile software development practices

- Automation-driven operations

- Global engineering collaboration

- Modern DevOps and SRE practices

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SEO FAQs

Is DevOps a high-paying career in 2026?

Yes. DevOps, SRE, Platform Engineering, and Cloud Security are among the highest-paying technology careers globally.

Is AWS enough to get a DevOps job?

AWS combined with Linux, CI/CD, Docker, Kubernetes, and automation skills significantly improves job opportunities.

Is Kubernetes mandatory for modern DevOps jobs?

Most modern cloud-native organizations strongly prefer Kubernetes experience for DevOps and SRE roles.

What is the difference between DevOps and SRE?

DevOps focuses on collaboration and automation, while SRE emphasizes reliability, observability, and operational excellence.

Is Cloud Security a good career path?

Cloud Security Engineering is one of the fastest-growing and highest-paying domains in technology due to increasing cloud adoption and cyber threats.

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Final Thoughts

Vectra AI offers an exceptional opportunity for DevOps Engineers seeking experience in AWS cloud infrastructure, Kubernetes operations, Site Reliability Engineering, cloud security, observability, GitOps, and production-scale platform engineering.

Candidates passionate about automation, cloud-native technologies, cybersecurity, and high-scale distributed systems should strongly consider applying for this role.