CyberCraft

We’re looking for a hands-on Lead Software Engineer to architect and develop intelligent, scalable, and resilient system. You’ll lead, design and implement distributed microservices, AI-driven applications, and autonomous agentic workflows on AWS. This is a hands-on leadership role that combines deep technical expertise with architectural vision — perfect for someone who thrives on solving complex problems with cutting-edge technologies.

Required Skills & Experience
• 7+ years in software engineering; 2+ in a lead or architectural role.
• Strong background in distributed systems, API design, and AWS cloud architecture to build enterprise SaaS platforms.
• Proven experience with SOC 2, security-by-design principles, and compliant coding practices.
• Deep knowledge of AWS services (ECS/EKS, Lambda, S3, IAM, PostgresSQL).
• Expertise in microservices, event-driven design, and containerized deployments.
• Hands-on experience with AI/ML systems or LLM-based applications.
• You think systemically, code responsibly, and automate everything.

Preferred Skills & Experience
• Experience with LangChain, OpenAI and vector databases (Pinecone, Weaviate, Chroma).
• Deep understanding of infrastructure as code (Terraform, CDK) and DevSecOps.
• Building or scaling serverless applications.
• Startup experience — you know how to move fast without breaking trust.

Key Responsibilities
• Architect and implement scalable, secure microservice architectures on AWS.
• Design and deploy agentic AI workflows that connect LLMs, APIs, and automation layers.
• Lead efforts around SOC 2-compliant design, data protection, and security best practices.
• Collaborate with the team to iterate fast and deploy confidently.
• Set engineering standards around observability, CI/CD, and secure coding.

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.

We’re looking for a Mid-Level Backend Engineer to help build the core systems behind our AI platform. You’ll design scalable APIs, cloud microservices, and secure backend workflows that connect data and intelligent agents. It’s a hands-on role for someone who loves solving hard problems, shipping fast, and building clean, reliable systems in a startup environment.

Required Skills & Experience
• 3–6 years of backend development experience (Python).
• Solid understanding of microservice architecture, REST/GraphQL APIs, and distributed systems.
• Hands-on experience with AWS (Lambda, ECS/EKS, API Gateway, S3).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD
pipelines.
• Understanding of data security and SOC 2–compliant development.
• Curiosity about AI/ML systems or willingness to learn how to build with them.

Preferred Skills & Experience
• Experience with AI workflow orchestration or LLM
integrations (OpenAI, LangChain, etc.).
• Familiarity with vector databases (Pinecone, Weaviate, Chroma).
• Knowledge of infrastructure as code (Terraform, CDK).
• Startup experience or comfort working in fast-paced, evolving
environments.

Key Responsibilities
• Build and maintain secure, scalable backend services and microservices on AWS
• Work closely with our AI and product teams to integrate LLMs, APIs, and data workflows.
• Contribute to system design, database schemas, and service orchestration.
• Implement and maintain SOC 2–compliant practices across code and infrastructure.
• Write high-quality, testable code with strong observability and monitoring.
• Optimize for performance, cost, and developer experience.

We’re looking for a Mid-Level Backend Engineer to help build the core systems behind our AI platform. You’ll design scalable APIs, cloud microservices, and secure backend workflows that connect data and intelligent agents. It’s a hands-on role for someone who loves solving hard problems, shipping fast, and building clean, reliable systems in a startup environment.

Required Skills & Experience
• 3–6 years of backend development experience (Python, Node.js, Go, or similar).
• Solid understanding of microservice architecture, REST/GraphQL APIs, and distributed systems.
• Hands-on experience with AWS (Lambda, ECS/EKS, API Gateway, S3).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD
pipelines.
• Understanding of data security and SOC 2–compliant development.
• Curiosity about AI/ML systems or willingness to learn how to build with them.

Preferred Skills & Experience
• Experience with AI workflow orchestration or LLM
integrations (OpenAI, LangChain, etc.).
• Familiarity with vector databases (Pinecone, Weaviate, Chroma).
• Knowledge of infrastructure as code (Terraform, CDK).
• Startup experience or comfort working in fast-paced, evolving
environments.

Key Responsibilities
• Build and maintain secure, scalable backend services and microservices on AWS
• Work closely with our AI and product teams to integrate LLMs, APIs, and data workflows.
• Contribute to system design, database schemas, and service orchestration.
• Implement and maintain SOC 2–compliant practices across code and infrastructure.
• Write high-quality, testable code with strong observability and monitoring.
• Optimize for performance, cost, and developer experience.

We’re looking for a Full Stack Engineer (or strong Frontend Engineer) who thrives at the intersection of modern web development and AI-driven applications.

This role is ideal for someone deeply fluent in React and TypeScript, experienced with Next.js (App Router), and comfortable working across the stack when needed (API routes, Supabase, vector stores).

Required Skills & Experience

• 3–6 years of professional software development experience.
• Strong proficiency in React, Next.js, and TypeScript.
• Experience with Tailwind CSS and component-based design systems (Shadcn/UI,Radix, etc.).
• Comfortable with frontend architecture, state management (Zustand, React Query), and API integration.
• Familiarity with Supabase or equivalent backend-as-a-service (Firebase, Hasura).
• Understanding of REST APIs, serverless functions, and SSR/SSG concepts.
• Strong collaboration skills and ability to work with designers, AI engineers, and product managers.
• Passion for building beautiful, functional, and data-driven interfaces.

Nice-to-Have

• Experience with LangChain, OpenAI, or vector databases (Pinecone, Weaviate, etc.).
• Familiarity with RAG pipelines or AI chat systems.
• Understanding of AWS S3, PostgreSQL, or general cloud architectures.
• Interest in data visualization, enterprise UX, or document workflows.
• Prior experience contributing to enterprise SaaS or B2B platforms.

Key Responsibilities

• Build and maintain modern, high-performance UIs using React 19, Next.js 15 (App Router), and TypeScript.
• Collaborate with designers to translate Figma specs into pixel-perfect, accessible, and performant components using Tailwind CSS and Shadcn/ui.
• Integrate with Supabase for authentication, database, and storage flows.
• Work with backend APIs that connect to LangChain, Pinecone, and OpenAI for AI-powered document interactions.
• Contribute to building scalable, reusable front-end components and hooks.
• Help maintain and improve state management with Zustand and React Query.
• Collaborate with the AI and backend team to deliver seamless chat and retrieval experiences.
• Participate in code reviews, documentation, and architectural discussions.

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.

We’re looking for a skilled Full-Stack iOS Developer to join a team building a next-generation photo documentation and collaboration platform. The product helps field teams capture, annotate, and share visual information efficiently, supporting industries like construction, property management, and facility maintenance.

You’ll work on refining core mobile features, implementing new UI/UX elements, and extending backend APIs to support enhanced sharing and collaboration functionality.

Responsibilities

• Implement new UI/UX components and interactive features in Swift, based on Figma or similar design specifications.
• Develop and maintain RESTful APIs and backend logic using Java Spring Boot.
• Integrate mobile features with cloud infrastructure (AWS ECS, S3, RDS) and third-party services (e.g., authentication, messaging, file storage).
• Optimize photo and data handling for speed, scalability, and reliability.
• Participate in code reviews, maintain high code quality, and write clear technical documentation.

Tech Stack
Frontend (Mobile): Swift, UIKit/SwiftUI
Backend: Java Spring Boot, REST APIs, MySQL
Infrastructure: AWS (ECS, S3, Jenkins, Docker)
Other Tools: Firebase, Cloud Store, Twilio (or similar), HubSpot API
Version Control: GitHub

Requirements

• 4+ years of professional experience in iOS app development with Swift.
• Experience building or maintaining backends with Java Spring Boot or similar frameworks.
• Solid understanding of RESTful API design and client—server communication.
• Familiarity with AWS services, Docker, and cloud-based deployments.
• Knowledge of SQL databases (MySQL or PostgreSQL).
• Strong problem-solving skills and the ability to work independently within a distributed team.

Nice to Have

• Experience with Twilio, Firebase Messaging, or other communication APIs.
• Prior work with AI-driven photo analysis, annotation tools, or SaaS collaboration platforms.
• Background in construction-tech, field operations, or visual data management solutions

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 a Quantitative Strategy Analyst who’s passionate about data, trading systems, and optimization.
You’ll backtest, analyze, and fine-tune algorithmic trading strategies, helping identify top performers ready for live trading.

Required Skills & Experience

• 1–3 years of hands-on experience in quantitative analysis, algorithmic trading, or data analytics
• Strong Python skills with libraries like Pandas, NumPy, Matplotlib, and Jupyter
• Understanding of technical indicators (EMA, ATR, VWAP, RSI, MACD, etc.)
• Familiarity with backtesting best practices — avoiding lookahead bias, using walk-forward and out-of-sample testing
• Solid grasp of statistics and analytical reasoning — distributions, variance, and correlation analysis
• Detail-oriented mindset with the ability to present findings clearly and visually
• Bachelor’s degree in Finance, Economics, Math, Statistics, Computer Science, or a related field

Nice to Have

• Experience with market data APIs like Databento or Polygon
• Background in futures markets (NQ, ES, YM preferred)
• Familiarity with scikit-learn, time-series analysis, or machine learning concepts
• Practical experience with Git, SQL, or Django for analytics dashboards
• Personal trading experience or strong interest in financial markets

Responsibilities

• Run backtests on existing trading strategies across different markets and timeframes
• Measure and analyze key performance metrics — win rate, Sharpe ratio, drawdown, and more
• Tune strategy parameters using optimization methods (grid search, walk-forward testing, etc.)
• Document and visualize results in Jupyter Notebooks, including equity curves and performance summaries
• Rank and compare strategies to identify those best suited for live trading
• Work closely with quant and development teams to strengthen strategy performance and reduce overfitting
• Prepare weekly reports and insights that guide future trading decisions

Tech Stack

• Languages & Libraries: Python (Pandas, NumPy, Matplotlib)
• Data Tools: Jupyter Notebooks, Databento API
• Development: VS Code / PyCharm
• Collaboration: Git / GitHub
• Reporting: Excel / Google Sheets

Project Description

We’re building a next-generation algorithmic trading platform for futures markets (NQ, ES, YM).
The team has already developed a production-ready backtesting engine and over 20 trading strategies.
Your role will focus on analyzing, optimizing, and preparing these strategies for live trading through data-driven research and performance testing.

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.