Cyber Full-Stack Technical Software Engineer
Deloitte · Hermitage, TN, USA · no salary listed · via jobspy:linkedin
Fit analysis
The candidate possesses exceptional full-stack expertise in modern JavaScript frameworks (Next.js/React) and complex data pipeline management, making them a strong technical fit. However, the resume lacks explicit evidence of experience with Generative AI architectures, specific NoSQL databases, or formal CI/CD pipeline implementation required by the job.
Where you fit
- Full stack software development: Demonstrated across multiple roles using Next.js (headless portals), React (device UIs), and Node.js/Rust backends for complex systems like Colony Watch.
- Frontend Development: Highly proficient with Next.js, React, Tailwind, HTML5, and CSS3, evidenced by architecting high-performance B2B storefronts and user portals.
- Backend Technology Stack: Strong experience with multiple backend languages including Rust (for telemetry pipelines), Node.js/Express, and JavaScript, meeting the requirement for OOP proficiency.
- API Integration & Microservices: Extensive experience integrating complex third-party APIs and managing data flows using GraphQL (Hasura) and various custom API calls across e-commerce and IoT systems.
- Relational Databases: Deep expertise with PostgreSQL, utilized multiple times for core data management, billing, and customer account information.
- Experience in High-Availability Systems: Proven ability to engineer and maintain critical operational protocols for large fleets (1,800+ Antminer fleet), ensuring zero disruption during rollouts.
- E-commerce/B2B Workflow Management: Expertly managed complex B2B workflows, product catalogs, pricing structures, and sales channel synchronization across Shopify and custom portals.
Where you may struggle
- AI/Generative AI Experience: There is no demonstrated experience designing, developing, or deploying solutions using Generative AI (LLMs) or Agentic architectures on major cloud platforms.
- NoSQL Database Experience: While PostgreSQL is covered extensively, there is no evidence of hands-on work with required NoSQL databases such as MongoDB, Redis, Cassandra, or DynamoDB.
- CI/CD and Automated Testing: The resume does not detail experience implementing automated testing frameworks (like JUnit equivalents) or setting up formal CI/CD pipelines using tools like Azure DevOps.
- Cloud Deployment Specifics: While the candidate deploys complex systems, specific deployment experience to AWS, Azure, or GCP is not explicitly detailed in terms of infrastructure-as-code or cloud service utilization.
- Cybersecurity Focus: The resume does not highlight any direct experience with secure development practices or cybersecurity-focused application development required by the Deloitte Cyber team.
Job description
Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. Recruiting for this role ends on 12/31/2026. The Team: Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. Position Summary 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. 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. 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. 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. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500. 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. #CyberCtBEngg
Questions from the bot
Timeline
2026-10-18 20:47:12
scored 85: The candidate possesses exceptional full-stack expertise in modern JavaScript frameworks (Next.js/React) and complex data pipeline management, making them a strong technical fit. However, the resume lacks explicit evidence of experience with Generative AI architectures, specific NoSQL databases, or formal CI/CD pipeline implementation required by the job.2026-10-17 21:44:09
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