CyberCraft

Requirements

• 4+ years of experience in backend or systems engineering for distributed applications.
• Strong Python skills.
• Hands-on experience with LangChain / LangGraph or similar agent orchestration frameworks.
• Deep understanding of event-driven systems and asynchronous programming (queues, pub/sub, workers).
• Experience with Kafka, RabbitMQ, or AWS SQS.
• Solid knowledge of microservice architecture, APIs, and data contracts.
• Familiarity with Docker / Kubernetes and CI/CD pipelines.
• Strong focus on performance, observability, and clean code.

Nice to Have

• Background in trading or fintech systems (order flow, risk checks, PnL tracking).
• Experience with PostgreSQL, Redis, and real-time data pipelines.
• Familiarity with AI/LLM agent patterns (personas, tools, memory, planning).
• Interest in financial markets or algorithmic trading concepts.

Responsibilities

• Architect and implement the LangGraph-based orchestration layer that coordinates strategy, risk, compliance, and execution agents.
• Define and maintain core event schemas (SignalEvent, OrderIntent, RiskDecision, ExecutionReport, etc.) used across services.
• Manage distributed Strategy Workers (user × strategy × symbol × timeframe) with low-latency execution targets (< 50 ms p50).
• Build a replayable event store for audit, recovery, and simulation.
• Integrate with backend services for execution, risk checks, and portfolio tracking.
• Implement observability — structured logging, metrics, and tracing (OTel / Prometheus).
• Collaborate with Quant and Backend teams to ensure strategies flow seamlessly from signal generation to execution.
• Contribute to design decisions on scalability, fault isolation, and event-driven architecture.

We offer

• Flexible working hours.
• Fair salary (regular performance-based salary reviews).
• 20 working days paid vacation and 15 sick leaves.
• Fully paid medical insurance.
• English classes in the office.
• Bookkeeping and accounting on us.
• No time trackers — ability to do quality work.
• Approachable management, open to suggestions and innovations.
• Friendly team and enjoyable working environment.

Role Overview

We’re looking for an experienced Cloud Application Engineer (AWS SageMaker Migration) to lead a short-term (1–2 month) migration project. You’ll move an existing AI-powered Next.js application from Synexa AI to AWS SageMaker Serverless, ensuring scalability, performance, and security. This role combines cloud infrastructure, DevOps, and backend development — perfect for someone who enjoys hands-on engineering challenges and delivering end-to-end solutions fast.

Required Skills & Experience

• Strong experience with AWS SageMaker (Serverless Endpoints), ECR, IAM, S3, CloudWatch
• Proficiency with Infrastructure as Code (Terraform or CloudFormation)
• Solid understanding of Docker, CI/CD, and DevOps pipelines
• Hands-on Node.js or TypeScript experience (Next.js backend/API routes)
• Strong problem-solving and system design skills — from analysis to deployment

Nice to Have

• Experience deploying or optimizing ML models in production
• Familiarity with Next.js or similar frameworks
• Previous cloud-to-cloud or MLaaS migration experience

Responsibilities

• Design AWS SageMaker Serverless architecture for existing AI workloads
• Containerize and deploy ML models (FLUX.1, Hunyuan3D-2) to AWS ECR/SageMaker
• Refactor backend integrations to replace Synexa AI APIs with SageMaker endpoints
• Implement secure data flows, logging, monitoring, and retry mechanisms
• Run load and functional testing, optimize performance, and prepare documentation

Project Description

You’ll join a focused, results-driven engineering team working on a next-generation AI application that converts text and images into 3D assets.
The goal: fully migrate the system from Synexa AI to AWS SageMaker Serverless, enabling flexible scaling, cost efficiency, and production-grade reliability — all within a 1–2 month engagement.

Role Overview
We’re looking for a Full-Stack Engineer to build a modern website consisting of a CMS-driven marketing site and an authenticated user dashboard.

 Part-time contract. Before starting, you will prepare a full project estimate (scope + timeline + milestones).

Responsibilities

• Build responsive Next.js + TypeScript UI (public pages + “My Space” dashboard)
• Integrate Strapi CMS content via REST/GraphQL
• Implement authentication, role-based access, profile & wishlist logic
• Develop backend models in Strapi (users, orders, project folders, samples)
• Configure PostgreSQL, environments, and secure API flows
• Deploy Strapi (Render/DigitalOcean/AWS) and Next.js (Vercel)

Required Skills

• 3+ years with React/Next.js & TypeScript
• Practical experience with Strapi CMS
• Strong PostgreSQL and API integration skills
• Understanding of auth (JWT, sessions, RBAC)
• Ability to work independently and deliver end-to-end features

Nice to have: Tailwind/MUI, custom Strapi plugins, basic DevOps (Docker/Nginx), marketplace/e-commerce experience.
 

Tech Stack
Next.js, TypeScript, Strapi, PostgreSQL, REST/GraphQL, Vercel, Render/AWS.
 

Project Description
The platform includes a marketing website fully managed through Strapi and a secure user dashboard with login, roles, profile, wishlist, project folders, order status, and sample requests. You will architect and implement both frontend and backend.

Role Overview

We’re looking for an experienced Cloud Application Engineer (AWS SageMaker Migration) to lead a short-term (1–2 month) migration project. You’ll move an existing AI-powered Next.js application from Synexa AI to AWS SageMaker Serverless, ensuring scalability, performance, and security. This role combines cloud infrastructure, DevOps, and backend development — perfect for someone who enjoys hands-on engineering challenges and delivering end-to-end solutions fast.

Required Skills & Experience

• Strong experience with AWS SageMaker (Serverless Endpoints), ECR, IAM, S3, CloudWatch
• Proficiency with Infrastructure as Code (Terraform or CloudFormation)
• Solid understanding of Docker, CI/CD, and DevOps pipelines
• Hands-on Node.js or TypeScript experience (Next.js backend/API routes)
• Strong problem-solving and system design skills — from analysis to deployment

Nice to Have

• Experience deploying or optimizing ML models in production
• Familiarity with Next.js or similar frameworks
• Previous cloud-to-cloud or MLaaS migration experience

Responsibilities

• Design AWS SageMaker Serverless architecture for existing AI workloads
• Containerize and deploy ML models (FLUX.1, Hunyuan3D-2) to AWS ECR/SageMaker
• Refactor backend integrations to replace Synexa AI APIs with SageMaker endpoints
• Implement secure data flows, logging, monitoring, and retry mechanisms
• Run load and functional testing, optimize performance, and prepare documentation

Project Description

You’ll join a focused, results-driven engineering team working on a next-generation AI application that converts text and images into 3D assets.
The goal: fully migrate the system from Synexa AI to AWS SageMaker Serverless, enabling flexible scaling, cost efficiency, and production-grade reliability — all within

Role Overview

We’re looking for a specialist experienced with GoHighLevel (GHL), integrations, and marketing automation. You’ll build workflows, funnels, and data connections, and support the migration from Keap → GHL.

Responsibilities

• Build and optimize workflows, funnels, pipelines, calendars in GHL.
• Migrate campaigns, emails, and automations from Keap.
• Integrate tools via API, Zapier, or simple scripts.
• Configure domains, DNS, SPF/DKIM, subdomains.
• Set up Zoom automations and troubleshoot tech issues.
• Improve automation processes and system performance.

Required Skills

• Strong hands-on experience with GoHighLevel.
• CRM automation, email/SMS, triggers, pipelines.
• API integrations + Zapier (multi-step workflows).
• Basic Python/JS for connectors/webhooks.
• DNS configuration experience.
• Good English (B2+).

Tech Stack

GHL, Zapier, REST APIs, Python/JS, DNS, Zoom, Typeform, OnceHub, HTML/CSS.

Project Description

You will play a key role in supporting and improving our automation ecosystem built around GoHighLevel. The project involves migrating from Keap, optimizing workflows, integrating third-party tools, and ensuring reliable, high-performance marketing and sales operations.

Job Description:
We’re looking for an experienced n8n automation engineer to design and implement smart business process automations. In this role, you’ll build advanced workflows that connect AI tools, APIs, and enterprise systems, helping streamline operations and deliver scalable, reliable solutions.
Key Responsibilities

• Architect and implement sophisticated n8n workflows that integrate AI models, APIs, and business applications
• Design and manage workflows that integrate CRM platforms and Customer Support systems to automate data entry, ticket management, and client communication
• Build intelligent, agent-like automations using AI nodes, decision logic, and custom scripting
• Develop multi-step flows with conditional branches, error recovery, and monitoring features
• Create AI-driven data pipelines leveraging embeddings and LLM-based integrations
• Extend n8n functionality by developing custom nodes when necessary
• Partner with business stakeholders to translate operational needs into automated solutions

Required Skills

• 2+ years of hands-on experience building advanced workflows in n8n
• Proven experience integrating AI platforms (OpenAI, Anthropic, Azure AI, etc.) into automation workflows
• Strong understanding of APIs, webhooks, and experience synchronizing data between CRMs and Customer Support tools
• Experience with database queries, workflow optimization, and error-handling strategies
• Familiarity with version control practices and deploying n8n environments

Preferred Qualifications

• Experience implementing RAG (Retrieval-Augmented Generation) architectures
• Familiarity with ZOHO API and the ZOHO ecosystem
• Experience managing self-hosted n8n setups and using Python for data processing tasks
• Knowledge of vector databases (e.g., Pinecone, Weaviate, Chroma) and cloud-based AI solutions
• Understanding of enterprise integration practices and BI/analytics platforms

What You’ll Bring
You’ll blend technical expertise in automation with a strong understanding of business processes, building maintainable and scalable solutions that set standards for AI-powered workflows. This role sits at the intersection of automation engineering and process optimization, giving you the opportunity to make a direct impact on efficiency and innovation.

Job Description:
We’re looking for an experienced n8n automation engineer to design and implement smart business process automations. In this role, you’ll build advanced workflows that connect AI tools, APIs, and enterprise systems, helping streamline operations and deliver scalable, reliable solutions.
Key Responsibilities

• Architect and implement sophisticated n8n workflows that integrate AI models, APIs, and business applications
• Design and manage workflows that integrate CRM platforms and Customer Support systems to automate data entry, ticket management, and client communication
• Build intelligent, agent-like automations using AI nodes, decision logic, and custom scripting
• Develop multi-step flows with conditional branches, error recovery, and monitoring features
• Create AI-driven data pipelines leveraging embeddings and LLM-based integrations
• Extend n8n functionality by developing custom nodes when necessary
• Partner with business stakeholders to translate operational needs into automated solutions

Required Skills

• 2+ years of hands-on experience building advanced workflows in n8n
• Proven experience integrating AI platforms (OpenAI, Anthropic, Azure AI, etc.) into automation workflows
• Strong understanding of APIs, webhooks, and experience synchronizing data between CRMs and Customer Support tools
• Experience with database queries, workflow optimization, and error-handling strategies
• Familiarity with version control practices and deploying n8n environments

Preferred Qualifications

• Experience implementing RAG (Retrieval-Augmented Generation) architectures
• Familiarity with ZOHO API and the ZOHO ecosystem
• Experience managing self-hosted n8n setups and using Python for data processing tasks
• Knowledge of vector databases (e.g., Pinecone, Weaviate, Chroma) and cloud-based AI solutions
• Understanding of enterprise integration practices and BI/analytics platforms

What You’ll Bring
You’ll blend technical expertise in automation with a strong understanding of business processes, building maintainable and scalable solutions that set standards for AI-powered workflows. This role sits at the intersection of automation engineering and process optimization, giving you the opportunity to make a direct impact on efficiency and innovation.