Azumo

Security Engineer

• Own the technical security posture of production AI systems, including infrastructure, pipelines, and agents
• Harden cloud infrastructure, APIs, internal tooling, and CI/CD pipelines through encryption, secrets management, logging, and access controls
• Conduct vulnerability scanning, penetration testing, adversarial testing, threat modeling, and manual security reviews
• Drive vulnerability remediation through closure
• Secure AI and agentic systems against prompt injection, adversarial inputs, unauthorized actions, unsafe outputs, and data leakage
• Monitor production AI systems for anomalies, abuse attempts, and unsafe decisions
• Own Azumo's automated security, cost, and architecture audit across client codebases
• Build alerting and detection, investigate incidents, and lead containment, remediation, root-cause analysis, and preventative changes
• Maintain operational visibility into access patterns and security events
• Handle security questionnaires, vendor risk assessments, enterprise RFPs, and technical security discussions with clients
• Conduct architecture reviews and promote secure development practices with engineering, Product, Compliance, and Operations
• Work within client repositories, tooling, and compliance reviews, including engagements with HIPAA requirements

Senior Security Engineer

DevOps Engineer

• Own production infrastructure for AI systems, including clusters, deployment pipelines, and monitoring
• Provision, upgrade, network, and configure production Kubernetes clusters
• Build reproducible infrastructure as code with Terraform or equivalent and detect infrastructure drift
• Build and maintain reliable CI/CD pipelines and standardized container image workflows
• Implement monitoring and alerting, investigate incidents, determine root causes, and make preventive changes
• Provide infrastructure for AI workloads, including inference services and their scaling and cost profiles
• Analyze infrastructure costs and capacity needs, including projected costs at higher traffic levels
• Secure Linux, Kubernetes, containers, and service meshes, including secrets, access, and audit trails
• Develop internal tooling and documentation and support developers and QA during release cycles
• Work within client environments, repositories, cloud accounts, and change processes when required
• Operate within Azumo's SOC 2-certified environment and accommodate engagement requirements such as HIPAA
• Use AI-assisted engineering tools and automated codebase audits to assess security, cost, and architecture findings

Cloud DevOps Engineer

• Own the technical security posture of production AI systems, including infrastructure, pipelines, and agents
• Harden cloud infrastructure, APIs, internal tooling, and CI/CD pipelines through encryption, secrets management, logging, and access controls
• Conduct vulnerability scanning, penetration testing, adversarial testing, threat modeling, and manual security reviews
• Drive vulnerability remediation through closure
• Build prompt-injection defenses, adversarial-input testing, and guardrails for tool-calling and agentic AI systems
• Monitor production AI systems for anomalies, abuse attempts, and unsafe decisions
• Own the automated security, cost, and architecture audit across client codebases
• Implement alerting and detection, investigate incidents, and lead containment, root-cause analysis, remediation, and prevention
• Maintain operational visibility into access patterns and security events
• Handle security questionnaires, vendor risk assessments, enterprise RFPs, and direct technical discussions with clients
• Conduct architecture reviews and establish secure development patterns with engineering, Product, Compliance, and Operations
• Work within client repositories, tooling, and compliance reviews, including engagements with requirements such as HIPAA

Artificial Intelligence

• Use ChatGPT, Claude, and other AI tools daily for research, content creation, creative development, analysis, and marketing operations
• Create and repurpose content for LinkedIn and other social media channels, including posts, graphics, carousels, and short-form content
• Create AI-generated images, videos, and other visual content using modern AI creative tools
• Develop and improve articles, case studies, newsletters, presentations, one-pagers, landing pages, and other marketing assets
• Implement GEO and AEO strategies to improve Azumo’s visibility in AI-powered search platforms such as ChatGPT, Claude, Gemini, and Perplexity
• Monitor how Azumo and its competitors appear across traditional and AI search, identify content gaps, and turn those insights into actionable content improvements
• Use AI and analytics tools to build recurring reports covering traffic, social media, campaigns, leads, conversions, AI search visibility, and other relevant marketing KPIs
• Identify opportunities to automate repetitive marketing tasks and improve existing workflows
• Help maintain and update Azumo’s website when needed
• Support other marketing initiatives in collaboration with the marketing, sales, and leadership teams

AI-Powered Marketing Specialist

LLM Engineer

• Build retrieval systems with chunking and embedding pipelines, hybrid search, reranking, and retrieval-quality evaluation
• Develop stateful, multi-step agentic workflows with tool calling, MCP servers, structured output enforcement, context-window management, deterministic fallbacks, and human-in-the-loop gates
• Create evaluation test sets, model-as-judge scoring, regression tracking, and error analyses
• Implement prompt-injection defense, output validation, guardrails, PII handling, and graceful degradation
• Deploy containerized systems on Azure or AWS with CI/CD and observability
• Own latency, cost, token, and throughput budgets
• Work inside client repositories and environments, including standups and occasional customer calls
• Build production AI systems that are reliable, measurable, and affordable for real users

AI Engineer – Generative AI, Agents

• Own the technical security posture of production AI systems, including infrastructure, pipelines, and agents
• Harden cloud infrastructure, APIs, internal tooling, and CI/CD pipelines through encryption, secrets management, logging, and access controls
• Conduct scanning, penetration testing, adversarial testing, threat modeling, and manual security reviews
• Drive vulnerability remediation through closure
• Defend AI and agentic systems against prompt injection and adversarial inputs
• Build guardrails for tool-calling and agentic systems that are bounded, observable, auditable, and safe to fail
• Own the automated security, cost, and architecture audit across client codebases
• Configure audit checks, severity grading, frequency, and accuracy
• Implement monitoring and detection, investigate anomalies, and perform root-cause analysis
• Run incident response, including containment and fixes to prevent recurrence
• Work within client repositories, tooling, and compliance reviews such as HIPAA

Senior Security Engineer – Platforms & AI

Head of Department

• Lead the planning, execution, and delivery of software development and custom technology projects, ensuring alignment with business objectives and timelines
• Guide and coach the Project Management team, fostering continuous improvement, accountability, and excellence
• Identify and remove impediments and risks affecting team velocity and project delivery
• Apply and champion Agile methodologies to manage project workflows and ensure timely delivery
• Communicate project updates, progress, and risks to senior management and stakeholders
• Oversee billing, time tracking, and budget management for project portfolios
• Collaborate cross-functionally with business and technical teams to ensure continuous delivery of products and services

Senior Security Engineer

Cloud DevOps Engineer

Senior Security Engineer

AI-Powered Marketing Specialist

AI Engineer – Generative AI, Agents

Senior Security Engineer – Platforms & AI

Head of Delivery – Latin America