Jobs · Consulting · Arizona

CyberArk Senior Consultant

Deloitte · Gilbert, AZ · 3 wk ago
HybridConsulting$113k–$208k/yrFull-time

About the role

Deloitte’s Cyber team helps businesses navigate the ever-changing threat landscape by simplifying complexity and enabling resilience, growth, and proactive security management.

Responsibilities

  • Working closely with business, solution engineers, team members, and leadership to understand business requirements and deliver high quality technical solutions
  • Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
  • Identifying key drivers of a problem and proposing technical solutions using analysis, experience, and decision making
  • Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
  • Demonstrating accountability and contributions to the successful realization of client goals

Requirements

  • Hands-on experience in full stack software development across frontend and backend technologies
  • Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP
  • Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript
  • Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments
  • Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot)
  • Experience building and consuming REST APIs and microservices
  • Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB
  • Experience using Git and development lifecycle tools such as Azure DevOps
  • Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation
  • Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP
  • Experience working in Agile/Scrum delivery environments
  • Cloud certification in AWS, Azure, or GCP
  • Bachelor’s degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • Experience with Docker, container-based application development, and serverless architectures
  • Experience with secure development practices or cybersecurity-focused application development
  • Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Experience contributing to project planning, estimation, or risk tracking
  • Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback
  • Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions
  • Strong written and verbal communication skills in cross-functional team environments
  • Familiarity with OpenSearch or Elasticsearch
  • Exposure to graph databases such as Neo4j or Memgraph
  • Familiarity with build tools such as Maven or Gradle
  • Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments
  • Familiarity with DevOps or DevSecOps practices
  • Knowledge of web security, GitOps, and Kubernetes customization
  • Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch

Benefits

  • Inclusive culture that empowers diverse perspectives and fosters innovation
  • Opportunities for professional development and growth
  • Competitive compensation and benefits package
  • Discretionary annual incentive program

Pay

The wage range for this role is $113,100 - 208,300. An award, if any, depends on individual and organizational performance.

Schedule

Not specified

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