Visarsoft

We are looking for a strong Python Engineer who wants to work on modern backend systems, cloud infrastructure, AI integrations, and automation-driven products.

This role is for an engineer who:

• is confident working with backend architecture,
• understands scalable distributed systems,
• can build production-grade APIs,
• has experience with cloud infrastructure,
• and wants to work closer to the modern AI ecosystem.

Responsibilities

• Develop backend services using Python
• Build and maintain APIs using FastAPI
• Work with asynchronous programming and asyncio
• Integrate AI services and LLM-based tooling
• Develop automation workflows and backend integrations
• Work with cloud infrastructure and deployment pipelines
• Build scalable backend architecture
• Optimize service performance and reliability
• Work with Kubernetes environments
• Integrate external APIs and third-party services
• Participate in technical and architectural decision-making
• Write maintainable, production-ready code
• Work with monitoring and debugging production systems

Requirements

Must-have:

• 4+ years of experience in Python development
• Strong production backend development experience
• Experience with FastAPI
• Solid knowledge of asyncio and asynchronous programming
• Experience building REST APIs
• Understanding of scalable backend architecture
• Experience with AWS
• Experience with Kubernetes
• SQL and database experience
• Git workflows
• Understanding of cloud-native applications
• Experience troubleshooting production systems
• English level sufficient for technical communication and documentation

Nice to have

• AI integrations experience
• LLM tooling / AI APIs
• Background tasks and async processing
• Docker
• CI/CD pipelines
• Experience with distributed systems
• Monitoring / observability experience
• Infrastructure knowledge
• Experience with automation platforms
• Data engineering experience
• Event-driven architecture
• WebSocket / realtime systems
• High-load backend systems
• Experience with the modern AI ecosystem

Who We Are Looking For

We are not looking for a “regular Python developer.”

We are looking for a backend engineer who:

• understands the modern cloud/backend ecosystem,
• can independently design backend solutions,
• thinks about scalability and reliability,
• knows how to work with asynchronous systems,

• and is comfortable working at the intersection of backend, cloud, and AI integrations.

   

Particularly valuable experience includes:

• AI-powered systems,
• Python + cloud knowledge,
• Kubernetes experience,
• backend architecture mindset,
• automation-first thinking.

Tech Stack

• Python
• FastAPI
• asyncio
• AWS
• Kubernetes
• REST APIs
• Docker
• Git
• Cloud infrastructure
• AI / LLM integrations

Senior Fullstack JavaScript / TypeScript Engineer (React / Next.js / Node.js)

We are looking for a strong Fullstack JavaScript / TypeScript Engineer who wants to work on modern web applications, scalable frontend/backend systems, and real product challenges.

This role is for an engineer who:

• is confident working across both frontend and backend,
• understands the modern React ecosystem,
• can make independent technical decisions,
• knows how to build maintainable architecture,
• and wants to influence the product instead of simply completing tasks.

Responsibilities

• Develop and maintain frontend applications using React / Next.js
• Develop backend services using Node.js
• Work with TypeScript across the entire stack
• Build scalable and maintainable application architecture
• Integrate frontend applications with backend APIs
• Work with asynchronous workflows and modern state management
• Optimize frontend and backend performance
• Implement authentication and authorization flows
• Participate in technical and architectural decision-making
• Work with cloud services and deployment workflows
• Integrate AI-powered features or external AI services into products
• Collaborate with product teams and designers
• Write clean, maintainable, production-ready code

Requirements

Must-have:

• 4+ years of experience in JavaScript / TypeScript development
• Strong production experience with React
• Experience with Next.js
• Backend development experience with Node.js
• Solid TypeScript knowledge
• Understanding of modern frontend architecture
• REST API integration experience
• Experience with state management solutions
• HTML / CSS / responsive UI development
• Git workflows
• Understanding of web performance optimization
• Experience working with cloud environments
• Experience with AI integrations or external AI APIs is a plus
• English level sufficient for technical communication and documentation

Nice to have

• Fullstack architecture experience
• React performance optimization
• SSR / SSG / ISR experience in Next.js
• Experience with cloud platforms
• CI/CD workflows
• Docker
• Authentication / security best practices
• WebSocket / realtime application experience
• Experience building scalable frontend systems
• AI-assisted products or AI integrations
• Experience working closely with product teams
• Testing experience (unit / integration / e2e)

Who We Are Looking For

We are not looking for a “frontend-only developer.”

We are looking for a fullstack engineer who:

• understands the system as a whole,
• sees how frontend and backend interact,
• can independently own features,
• thinks about scalability and maintainability,
• and operates with senior-level engineering ownership.

Particularly valuable experience includes:

• building fullstack products,
• React + cloud knowledge,
• AI integrations,
• the ability to make technical decisions independently.

Tech Stack

• React
• Next.js
• Node.js
• TypeScript
• JavaScript
• REST APIs
• Git
• Cloud services
• Docker

We are looking for a strong DevOps / Cloud Engineer who wants to work not just on “server maintenance,” but on building modern cloud-native infrastructure, scalable platforms, and production-grade Kubernetes ecosystems.

This role is for an engineer who

• understands large-scale distributed systems architecture,
• can build stable cloud infrastructure,
• automates everything through Infrastructure as Code,
• thinks in terms of reliability, security, and scalability,
• and wants to influence technical decisions instead of only “maintaining CI/CD pipelines.”

The demand for strong DevOps / Platform / SRE engineers is currently extremely high, especially in Kubernetes, AWS, Terraform, GitOps, observability, and DevSecOps areas.

Responsibilities

• Build and maintain cloud infrastructure in AWS / Azure
• Deploy and scale Kubernetes clusters
• Develop Infrastructure as Code using Terraform
• Build and maintain CI/CD pipelines using GitHub Actions / GitLab CI
• Automate deployment workflows
• Configure and maintain observability stacks (Prometheus, Grafana, Loki, ELK, OpenTelemetry, etc.)
• Work with Docker and container orchestration
• Ensure system reliability, uptime, and fault tolerance
• Optimize cloud costs and infrastructure performance
• Implement security best practices and DevSecOps approaches
• Work with production environments and high-load systems
• Help engineering teams improve platform tooling and infrastructure processes
• Participate in architecture and infrastructure design decisions

Requirements

Must-have:

• 4+ years of experience in DevOps / Cloud Engineering / SRE
• Strong production experience with Kubernetes
• Experience with AWS or Azure
• Solid Terraform knowledge
• Experience building CI/CD pipelines
• Docker and containerized environments
• Linux administration
• Bash / Python scripting
• Networking fundamentals
• Monitoring / observability stack experience
• Git workflows
• Experience troubleshooting production systems
• Understanding of cloud security principles
• English level sufficient for technical communication and documentation

Nice to have

• Platform Engineering experience
• DevSecOps experience
• GitOps (ArgoCD / FluxCD)
• EKS / AKS / GKE
• Helm
• Service Mesh technologies (Istio / Linkerd)
• OpenTelemetry
• Multi-cloud infrastructure experience
• SRE practices
• Incident management
• High availability architectures
• Experience with large-scale distributed systems
• FinOps / cloud cost optimization
• Kafka / Redis / PostgreSQL infrastructure experience

Tech Stack

• Kubernetes
• Terraform
• AWS
• Azure
• GitHub Actions
• GitLab CI
• Docker
• Monitoring / Observability
• Platform Engineering
• Cloud Architecture
• DevSecOps
• SRE

Who We Are Looking For

We are looking for someone who:

• understands system design,
• can make independent technical decisions,
• thinks about reliability and scalability,
• sees infrastructure as a platform for development teams,
• and knows how to balance speed, stability, and security.

Particularly valuable experience includes:

• Kubernetes platform engineering,
• production-grade cloud architecture,
• observability,
• DevSecOps,
• automation-first approaches.

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defence, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defence tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defense tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defense, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defense tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We are looking for a Senior Full Stack Developer capable of taking technical ownership, making independent decisions, and ensuring reliable delivery of complex, production-ready solutions. We expect a highly skilled engineer who can drive results, structure development processes, and demonstrate strong leadership qualities.

Core Requirements

📌 English: Upper-Intermediate or higher.

📌 5+ years of commercial experience with key technologies:

• Python
• Node.js
• React.js
• AWS Lambda/Azure

📌 Commercial experience with additional technologies:

• TypeScript
• Redux
• Express.js
• NestJS
• REST API / GraphQL

• PostgreSQL

   

• AI Engineering & Innovation
• We are actively integrating AI into our development workflows and software solutions.

This includes:

• Introducing and optimizing AI coding tools (Cursor, Copilot, Claude, etc.)
• Supporting the integration of LLM-based features into SaaS products
• Guiding architecture decisions around AI-driven applications

• Promoting the use of AI coding agents and automation in development

   

Key Personal Qualities

• Strong sense of ownership and responsibility.
• Analytical thinking and a results-driven mindset.
• Ability to work effectively in a dynamic and fast-paced environment.

What we can offer:

Full-time flexible working schedule;

Comfortable, cosy, and well-equipped office;

Modern working place MacBookPro;

18 business days of paid vacation / 10 paid sick leaves / public holidays in Ukraine.

English lessons