Deloitte Cyber Full-stack Senior Developer/Senior Consultant
Indexed description
You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Recruiting for this role ends on 5/31/2026.
Work you will do:
- 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 proposes technical solutions using analysis, experience, and decision making
- Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
- Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
- Demonstrating accountability and contributions to the successful realization of client goals
Required Qualifications
We require 3-5 years of experience for all skill areas below:
- 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
- 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.
- Cloud certification in AWS, Azure, or GCP.
- 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.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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