Provoke Solutions
Lead Full-Stack Developer / DevOps Engineer AI & Secure Infrastructure
Provoke Solutions, Dallas, Texas, United States, 75215
About the job Lead Full-Stack Developer / DevOps Engineer AI & Secure Infrastructure
Who We Are
Provoke is a global consulting firm building AI-native solutions that transform how work gets done. Founded on a culture of innovation, growth, and curiosity, we partner with global clients to design and deploy agentic AI embedded directly into workflows so teams move faster, think smarter, and scale with purpose.
What We Do
We build bespoke software using modern technologies to help our clients solve complex business problems, achieve operational excellence, and flourish in an increasingly digital world.
The Provoke Experience
We are committed to building high-performing, diverse teams. We provide tangible rewards for effort, hybrid-first flexibility with purposeful in-person collaboration, and learning opportunities to fast-track your career. We focus on diversity in race, gender, orientation, and experience because we know diversity fuels innovation.
The Opportunity
We are seeking a Full-Stack Developer with strong DevOps and AI integration skills to build, deploy, and secure end-to-end applications for banking clients. This role requires expertise in modern web development, containerization, on-premises Docker environments, secure infrastructure (e.g., HashiCorp Vault), and AI/LLM-based architectures (including RAG pipelines). The ideal candidate will have hands-on technical expertise, strong security awareness, and the ability to communicate complex solutions to clients.
Key Responsibilities
Infrastructure & Server Setup
Prepare hardware and configure Linux-based and Windows-based on-prem servers (small to medium complexity) Install, configure, and run Docker in on-premises environments, including Docker Compose for multi-service setups Deploy and configure Apache/Nginx within containerized environments Security & Secrets Management
Deploy and configure HashiCorp Vault on premises (medium to large complexity) Set up secrets and certificates, enable encryption, and configure secure access Ensure client applications can securely pull secrets from Vault AI/LLM Integration
Set up LLM environments (low to medium complexity) Build knowledge bases using vector databases (Postgres, Weaviate, or similar) Implement document ingestion pipelines (document parsing, chunking, embeddings generation, and storage) RAG (Retrieval-Augmented Generation) Orchestration
Develop inference pipelines using LangChain or n8n Implement retrieval, augmentation, and generation workflows Create API contracts for frontend-backend integration Backend & API Development
Initialize and build Python/FastAPI projects Expose RAG pipeline endpoints through secure REST APIs Frontend Development
Create React SPA applications with chat-like UIs (ChatGPT-style interfaces) Integrate frontend with backend APIs based on defined contracts Deployment & Routing
Configure Apache/Nginx reverse proxy rules for routing frontend and backend traffic Client Interaction
Present technical solutions, architecture diagrams, and deployment strategies to clients Translate complex technical concepts into clear, non-technical language Collaborate with stakeholders to align solutions with business and security requirements Required Skills & Qualifications
Technical Expertise
Strong experience with Docker (on-premises), Linux server administration, and container orchestration Hands-on experience with HashiCorp Vault (secrets engines, policies, and client integrations) Proficiency in Python (FastAPI, Flask) and React.js Understanding of vector databases (Weaviate, Pinecone, or Chroma) and RAG pipelines Familiarity with LangChain or workflow automation tools like n8n Web servers: Nginx/Apache reverse proxy and SSL/TLS configuration Knowledge of document parsing (PDF, CSV, text) and embedding models (OpenAI, Hugging Face) Security Awareness
Strong understanding of data security, encryption, and certificate management Awareness of banking security standards (e.g., SOC2, PCI-DSS basics) Ability to design and review secure APIs and infrastructure Soft Skills
Excellent presentation skills for client demos and solution walkthroughs Ability to document and explain technical architectures clearly Collaborative mindset for cross-functional teamwork Nice-to-Have Skills
Exposure to GPU-based LLM hosting (e.g., Hugging Face models) Familiarity with cloud services (AWS, GCP, Azure) and hybrid on-prem/cloud setups
Who We Are
Provoke is a global consulting firm building AI-native solutions that transform how work gets done. Founded on a culture of innovation, growth, and curiosity, we partner with global clients to design and deploy agentic AI embedded directly into workflows so teams move faster, think smarter, and scale with purpose.
What We Do
We build bespoke software using modern technologies to help our clients solve complex business problems, achieve operational excellence, and flourish in an increasingly digital world.
The Provoke Experience
We are committed to building high-performing, diverse teams. We provide tangible rewards for effort, hybrid-first flexibility with purposeful in-person collaboration, and learning opportunities to fast-track your career. We focus on diversity in race, gender, orientation, and experience because we know diversity fuels innovation.
The Opportunity
We are seeking a Full-Stack Developer with strong DevOps and AI integration skills to build, deploy, and secure end-to-end applications for banking clients. This role requires expertise in modern web development, containerization, on-premises Docker environments, secure infrastructure (e.g., HashiCorp Vault), and AI/LLM-based architectures (including RAG pipelines). The ideal candidate will have hands-on technical expertise, strong security awareness, and the ability to communicate complex solutions to clients.
Key Responsibilities
Infrastructure & Server Setup
Prepare hardware and configure Linux-based and Windows-based on-prem servers (small to medium complexity) Install, configure, and run Docker in on-premises environments, including Docker Compose for multi-service setups Deploy and configure Apache/Nginx within containerized environments Security & Secrets Management
Deploy and configure HashiCorp Vault on premises (medium to large complexity) Set up secrets and certificates, enable encryption, and configure secure access Ensure client applications can securely pull secrets from Vault AI/LLM Integration
Set up LLM environments (low to medium complexity) Build knowledge bases using vector databases (Postgres, Weaviate, or similar) Implement document ingestion pipelines (document parsing, chunking, embeddings generation, and storage) RAG (Retrieval-Augmented Generation) Orchestration
Develop inference pipelines using LangChain or n8n Implement retrieval, augmentation, and generation workflows Create API contracts for frontend-backend integration Backend & API Development
Initialize and build Python/FastAPI projects Expose RAG pipeline endpoints through secure REST APIs Frontend Development
Create React SPA applications with chat-like UIs (ChatGPT-style interfaces) Integrate frontend with backend APIs based on defined contracts Deployment & Routing
Configure Apache/Nginx reverse proxy rules for routing frontend and backend traffic Client Interaction
Present technical solutions, architecture diagrams, and deployment strategies to clients Translate complex technical concepts into clear, non-technical language Collaborate with stakeholders to align solutions with business and security requirements Required Skills & Qualifications
Technical Expertise
Strong experience with Docker (on-premises), Linux server administration, and container orchestration Hands-on experience with HashiCorp Vault (secrets engines, policies, and client integrations) Proficiency in Python (FastAPI, Flask) and React.js Understanding of vector databases (Weaviate, Pinecone, or Chroma) and RAG pipelines Familiarity with LangChain or workflow automation tools like n8n Web servers: Nginx/Apache reverse proxy and SSL/TLS configuration Knowledge of document parsing (PDF, CSV, text) and embedding models (OpenAI, Hugging Face) Security Awareness
Strong understanding of data security, encryption, and certificate management Awareness of banking security standards (e.g., SOC2, PCI-DSS basics) Ability to design and review secure APIs and infrastructure Soft Skills
Excellent presentation skills for client demos and solution walkthroughs Ability to document and explain technical architectures clearly Collaborative mindset for cross-functional teamwork Nice-to-Have Skills
Exposure to GPU-based LLM hosting (e.g., Hugging Face models) Familiarity with cloud services (AWS, GCP, Azure) and hybrid on-prem/cloud setups