KaaIoT

Requirements

• 1–3 years of commercial development experience;
• Strong knowledge of JavaScript and TypeScript;
• Experience with Node.js and/or Bun.js;
• Experience with Vue.js is preferred; React is also acceptable;
• Good understanding of full-stack web application development;
• Understanding of WebSockets and real-time communication;
• Experience working with PostgreSQL;
• Good understanding of asynchronous programming;
• Confident working with the Git version control system;
• Strong analytical and problem-solving skills;
• Intermediate level of English.

Would be a plus

• Experience with modern backend architecture and API design;
• Experience working with ORMs or query builders;
• Familiarity with deployment, CI/CD, and cloud environments;
• Experience building scalable products or SaaS platforms.
• Experience using AI tools for coding to improve productivity;

Responsibilities

• Develop and maintain full-stack product features with attention to quality and performance;
• Participate in end-to-end development, from idea to production;
• Build both backend and frontend parts of the application;
• Work with real-time features using WebSockets;
• Deliver features quickly and efficiently.

Requirements:

• Strong backend development experience with C++ (the bulk of the backend is built on a custom in-house framework)
• Hands-on experience with AWS, particularly S3
• Proficiency with Protobuf
• Experience deploying and operating services on Kubernetes, including performance-driven traffic routing to pods
• Performance engineering skills — hash-based routing, SSD-based caching, and memory-mapped files
• Solid systems / low-level fundamentals (there is no off-the-shelf framework to rely on — much of the stack is custom)
• Ability to work highly autonomously and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling

Nice-to-Have:

• Familiarity with OpenTelemetry / observability tooling
• Understanding of LevelDB SSTable concepts and sorted, time-keyed data structures
• Familiarity with Python (used only for a small metadata/auth service)
• Basic DevOps skills

Key Responsibilities:

• Optimize the performance of the C++ data-streaming backend — efficient delivery of large recorded datasets to the browser
• Work on infrastructure-level optimizations: traffic routing to Kubernetes pods, hash-based routing, SSD-based caching, and memory-mapped files
• Operate within a custom data-handling stack — a C++ framework, a custom HTTP server, and a proprietary data format built on top of LevelDB SSTables and Protobuf
• Take ownership of performance work end-to-end, proactively identifying bottlenecks and driving solutions independently
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — a "video and data player" that renders 3D scenes, lidar, and audio recorded by autonomous vehicles. This role sits on the performance work stream: the backend reads on-vehicle data stored in S3, deserializes it from a custom, time-keyed format, and streams it to the browser. The data-transfer service is implemented in C++, and most of the platform's performance gains are expected to come from the backend.

This is a long-term engagement for a strong systems engineer who enjoys low-level performance work and is comfortable ramping on a heavily custom stack with high ownership and minimal supervision.

Requirements:

• 1–3 years of commercial development experience;
• Strong knowledge of JavaScript and TypeScript;
• Experience with Node.js and/or Bun.js;
• Experience with Vue.js is preferred; React is also acceptable;
• Good understanding of full-stack web application development;
• Understanding of WebSockets and real-time communication;
• Experience working with PostgreSQL;
• Good understanding of asynchronous programming;
• Confident working with the Git version control system;
• Strong analytical and problem-solving skills;

• Intermediate level of English.

   

Would be a plus:

• Experience with modern backend architecture and API design;
• Experience working with ORMs or query builders;
• Familiarity with deployment, CI/CD, and cloud environments;
• Experience building scalable products or SaaS platforms.

• Experience using AI tools for coding to improve productivity;

   

Responsibilities:

• Develop and maintain full-stack product features with attention to quality and performance;
• Participate in end-to-end development, from idea to production;
• Build both backend and frontend parts of the application;
• Work with real-time features using WebSockets;
• Deliver features quickly and efficiently;

Requirements:

• 1–3 years of commercial development experience;
• Strong knowledge of JavaScript and TypeScript;
• Experience with Node.js and/or Bun.js;
• Experience with Vue.js is preferred; React is also acceptable;
• Good understanding of full-stack web application development;
• Understanding of WebSockets and real-time communication;
• Experience working with PostgreSQL;
• Good understanding of asynchronous programming;
• Confident working with the Git version control system;
• Strong analytical and problem-solving skills;
• Intermediate level of English.

Would be a plus:

• Experience with modern backend architecture and API design;
• Experience working with ORMs or query builders;
• Familiarity with deployment, CI/CD, and cloud environments;
• Experience building scalable products or SaaS platforms.
• Experience using AI tools for coding to improve productivity;

Responsibilities:

• Develop and maintain full-stack product features with attention to quality and performance;
• Participate in end-to-end development, from idea to production;
• Build both backend and frontend parts of the application;
• Work with real-time features using WebSockets;
• Deliver features quickly and efficiently;

Requirements:

• Strong backend development experience with C++ (the bulk of the backend is built on a custom in-house framework)
• Hands-on experience with AWS, particularly S3
• Proficiency with Protobuf
• Experience deploying and operating services on Kubernetes, including performance-driven traffic routing to pods
• Performance engineering skills — hash-based routing, SSD-based caching, and memory-mapped files
• Solid systems / low-level fundamentals (there is no off-the-shelf framework to rely on — much of the stack is custom)
• Ability to work highly autonomously and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling

Nice-to-Have:

• Familiarity with OpenTelemetry / observability tooling
• Understanding of LevelDB SSTable concepts and sorted, time-keyed data structures
• Familiarity with Python (used only for a small metadata/auth service)
• Basic DevOps skills

Key Responsibilities:

• Optimize the performance of the C++ data-streaming backend — efficient delivery of large recorded datasets to the browser
• Work on infrastructure-level optimizations: traffic routing to Kubernetes pods, hash-based routing, SSD-based caching, and memory-mapped files
• Operate within a custom data-handling stack — a C++ framework, a custom HTTP server, and a proprietary data format built on top of LevelDB SSTables and Protobuf
• Take ownership of performance work end-to-end, proactively identifying bottlenecks and driving solutions independently
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — a "video and data player" that renders 3D scenes, lidar, and audio recorded by autonomous vehicles. This role sits on the performance work stream: the backend reads on-vehicle data stored in S3, deserializes it from a custom, time-keyed format, and streams it to the browser. The data-transfer service is implemented in C++, and most of the platform's performance gains are expected to come from the backend.

This is a long-term engagement for a strong systems engineer who enjoys low-level performance work and is comfortable ramping on a heavily custom stack with high ownership and minimal supervision.

Requirements:

• Strong production experience with Vue.js
• Solid Python experience for backend development
• Proficiency with JavaScript / TypeScript for frontend development
• Hands-on experience with Three.js and Canvas-based rendering
• Demonstrable frontend performance optimization experience (page load time, rendering efficiency, working with large or real-time data sets)
• Ability to work highly autonomously, proactively clarify requirements and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling

Nice-to-Have:

• React experience — a planned Vue → React migration is in scope for the team, so familiarity with both frameworks is a strong plus
• Hands-on experience migrating a frontend from Vue to React
• Experience rendering large, real-time data streams in the browser
• Familiarity with deck.gl and Leaflet
• WebGL experience beyond Three.js abstractions
• Familiarity with C++ or general backend development

Key Responsibilities:

• Build and maintain features across a portfolio of Vue-based projects
• Develop and support Python backend services
• Optimize frontend performance — faster page loads and more efficient rendering of heavy real-time 3D scenes and data
• Build and maintain visualization UI components that render synchronized 3D, lidar, and media data
• Contribute to the planned Vue → React migration as it ramps up
• Take ownership of features end-to-end, proactively clarifying requirements and assumptions
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — essentially a "video and data player" that renders a 3D scene, a lidar feed, and an audio feed in sync, used to inspect and debug the data recorded by autonomous vehicles.

The work centers on a set of Vue-based projects, including the platform itself and supporting Python backend services, with a Vue → React migration on the roadmap as the broader engineering organization standardizes on React. This is a long-term engagement for an engineer who is comfortable across the stack, cares about clean and performant code, and can drive features from design to production with high ownership and minimal supervision.

Requirements:

• Strong production experience with Vue.js
• Solid Python experience for backend development
• Proficiency with JavaScript / TypeScript for frontend development
• Hands-on experience with Three.js and Canvas-based rendering
• Demonstrable frontend performance optimization experience (page load time, rendering efficiency, working with large or real-time data sets)
• Ability to work highly autonomously, proactively clarify requirements and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling

Nice-to-Have:

• React experience — a planned Vue → React migration is in scope for the team, so familiarity with both frameworks is a strong plus
• Hands-on experience migrating a frontend from Vue to React
• Experience rendering large, real-time data streams in the browser
• Familiarity with deck.gl and Leaflet
• WebGL experience beyond Three.js abstractions
• Familiarity with C++ or general backend development

Key Responsibilities:

• Build and maintain features across a portfolio of Vue-based projects
• Develop and support Python backend services
• Optimize frontend performance — faster page loads and more efficient rendering of heavy real-time 3D scenes and data
• Build and maintain visualization UI components that render synchronized 3D, lidar, and media data
• Contribute to the planned Vue → React migration as it ramps up
• Take ownership of features end-to-end, proactively clarifying requirements and assumptions
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — essentially a "video and data player" that renders a 3D scene, a lidar feed, and an audio feed in sync, used to inspect and debug the data recorded by autonomous vehicles.

The work centers on a set of Vue-based projects, including the platform itself and supporting Python backend services, with a Vue → React migration on the roadmap as the broader engineering organization standardizes on React. This is a long-term engagement for an engineer who is comfortable across the stack, cares about clean and performant code, and can drive features from design to production with high ownership and minimal supervision.

About the role:

You'll work on the internal compute-platform web application of a US robotics / autonomous company — the system that runs safety simulations and large-scale compute workloads (training, batch inference, MapReduce-style jobs) across a cluster of roughly 50,000–100,000 nodes.

The app is the task-management UI where engineers submit and track jobs: job status and queue time, debugging, and understanding jobs modeled as DAGs (directed acyclic graphs) — which steps ran, which failed, what resources were consumed, why a job is slow, and how to optimize it (e.g. GPU utilization, switching between CPU/GPU nodes).

The application is ~10 years old; its first version was in Vue, and a React migration began ~18 months ago (the team is now building the next major version). The approach is incremental: a host shell with key pages implemented in React, iframing much of the older Vue app. Today it's ~90% frontend — a React app calling many existing services — and will grow its own dedicated Python backend over time, moving toward roughly two-thirds frontend / one-third backend in steady state.

This is a senior, autonomous role. Design/product support is limited to UI polish, so you'll exercise product judgment yourself — walking through user flows as a user, and asking clarifying questions when a ticket isn't well-defined.

What you'll do:

• Build and rework user interfaces in React; migrate the remaining Vue components to React and build new React components.
• Reuse the team's shared component library / in-house UI toolkit.
• Grow a lightweight Python backend — application-level joins, light workflow/processing, a DynamoDB store for things like user preferences — while the app continues to call many existing services.
• Visualize complex job/DAG data clearly: status, failures, resource usage, and performance.
• Talk to users, clarify ambiguous requirements, and ship features end to end.

Must-have:

• Strong, hands-on React — modern hooks, component architecture, state management, performance.
• Solid Python for backend development.
• General database experience.
• A product mindset: questions whether a ticket is well-defined, pushes back constructively, drives clarity instead of waiting for prescriptive specs.
• Ability to operate at a senior level — autonomous, user-facing, proactive, comfortable owning features end to end.

Nice-to-have:

• Ability to read and understand Vue (to migrate existing components).
• Experience with complex data visualization / dashboards, ideally graph/DAG rendering.
• WebGL — only for advanced graph visualization; genuinely optional (fine without it).
• Experience with a shared component library / design system.
• Experience with internal developer platforms, compute, or infrastructure tooling.

What success looks like:

In the first months you'll take ownership of meaningful parts of the app — migrating Vue screens to React, shipping UI improvements users notice, and starting to shape the Python backend — while reducing the hand-holding needed to move a feature from idea to production.

Engagement: Contract (full-time) · Remote

Stack: React (primary) · Python (backend) · existing Vue · AWS DynamoDB · in-house UI toolkit

About the role

You'll work on the internal compute-platform web application of a US robotics / autonomous company — the system that runs safety simulations and large-scale compute workloads (training, batch inference, MapReduce-style jobs) across a cluster of roughly 50,000–100,000 nodes.

The app is the task-management UI where engineers submit and track jobs: job status and queue time, debugging, and understanding jobs modeled as DAGs (directed acyclic graphs) — which steps ran, which failed, what resources were consumed, why a job is slow, and how to optimize it (e.g. GPU utilization, switching between CPU/GPU nodes).

The application is ~10 years old; its first version was in Vue, and a React migration began ~18 months ago (the team is now building the next major version). The approach is incremental: a host shell with key pages implemented in React, iframing much of the older Vue app. Today it's ~90% frontend — a React app calling many existing services — and will grow its own dedicated Python backend over time, moving toward roughly two-thirds frontend / one-third backend in steady state.

This is a senior, autonomous role. Design/product support is limited to UI polish, so you'll exercise product judgment yourself — walking through user flows as a user, and asking clarifying questions when a ticket isn't well-defined.

What you'll do

• Build and rework user interfaces in React; migrate the remaining Vue components to React and build new React components.
• Reuse the team's shared component library / in-house UI toolkit.
• Grow a lightweight Python backend — application-level joins, light workflow/processing, a DynamoDB store for things like user preferences — while the app continues to call many existing services.
• Visualize complex job/DAG data clearly: status, failures, resource usage, and performance.
• Talk to users, clarify ambiguous requirements, and ship features end to end.

Must-have

• Strong, hands-on React — modern hooks, component architecture, state management, performance.
• Solid Python for backend development.
• General database experience.
• A product mindset: questions whether a ticket is well-defined, pushes back constructively, drives clarity instead of waiting for prescriptive specs.
• Ability to operate at a senior level — autonomous, user-facing, proactive, comfortable owning features end to end.

Nice-to-have

• Ability to read and understand Vue (to migrate existing components).
• Experience with complex data visualization / dashboards, ideally graph/DAG rendering.
• WebGL — only for advanced graph visualization; genuinely optional (fine without it).
• Experience with a shared component library / design system.
• Experience with internal developer platforms, compute, or infrastructure tooling.

What success looks like

In the first months you'll take ownership of meaningful parts of the app — migrating Vue screens to React, shipping UI improvements users notice, and starting to shape the Python backend — while reducing the hand-holding needed to move a feature from idea to production.

Engagement: Contract (full-time) · Remote

Stack: React (primary) · Python (backend) · existing Vue · AWS DynamoDB · in-house UI toolkit

ABOUT THE ROLE

You'll work on the internal compute-platform web application of a US robotics / autonomous company — the system that runs safety simulations and large-scale compute workloads (training, batch inference, MapReduce-style jobs) across a cluster of roughly 50,000–100,000 nodes.

The app is the task-management UI where engineers submit and track jobs: job status and queue time, debugging, and understanding jobs modeled as DAGs (directed acyclic graphs) — which steps ran, which failed, what resources were consumed, why a job is slow, and how to optimize it (e.g. GPU utilization, switching between CPU/GPU nodes).

The application is ~10 years old; its first version was in Vue, and a React migration began ~18 months ago (the team is now building the next major version). The approach is incremental: a host shell with key pages implemented in React, iframing much of the older Vue app. Today it's ~90% frontend — a React app calling many existing services — and will grow its own dedicated Python backend over time, moving toward roughly two-thirds frontend / one-third backend in steady state.

This is a senior, autonomous role. Design/product support is limited to UI polish, so you'll exercise product judgment yourself — walking through user flows as a user, and asking clarifying questions when a ticket isn't well-defined.

WHAT YOU'LL DO

• Build and rework user interfaces in React; migrate the remaining Vue components to React and build new React components.
• Reuse the team's shared component library / in-house UI toolkit.
• Grow a lightweight Python backend — application-level joins, light workflow/processing, a DynamoDB store for things like user preferences — while the app continues to call many existing services.
• Visualize complex job/DAG data clearly: status, failures, resource usage, and performance.
• Talk to users, clarify ambiguous requirements, and ship features end to end.

MUST-HAVE

• Strong, hands-on React — modern hooks, component architecture, state management, performance.
• Solid Python for backend development.
• General database experience.
• A product mindset: questions whether a ticket is well-defined, pushes back constructively, drives clarity instead of waiting for prescriptive specs.
• Ability to operate at a senior level — autonomous, user-facing, proactive, comfortable owning features end to end.

NICE-TO-HAVE

• Ability to read and understand Vue (to migrate existing components).
• Experience with complex data visualization / dashboards, ideally graph/DAG rendering.
• WebGL — only for advanced graph visualization; genuinely optional (fine without it).
• Experience with a shared component library / design system.
• Experience with internal developer platforms, compute, or infrastructure tooling.

WHAT SUCCESS LOOKS LIKE

In the first months you'll take ownership of meaningful parts of the app — migrating Vue screens to React, shipping UI improvements users notice, and starting to shape the Python backend — while reducing the hand-holding needed to move a feature from idea to production.

About the Role:

We are looking for a firmware engineer who really knows how to work with modern hardware (ESP32-S3, PICAD-compatible boards) and Zephyr OS. The main task is to write stable, production-ready code for IoT devices at the “data logger / gateway” level: sensors, Modbus, LTE/Wi-Fi, OTA, local logic, energy saving.

No academic R&D - we need someone who can quickly produce a working product.

Responsibilities:

• Development of firmware under Zephyr OS for ESP32-S3 / ESP32-C6;
• Working with PICAD-compatible peripherals (sensors, interfaces, IO);
• Protocol implementation: Modbus RTU/TCP, UART, RS-485, SPI, I2C;
• Network stack configuration: Wi-Fi, LTE (via external modules), MQTT;
• OTA updates (MCUboot, Zephyr samples, custom circuits);
• Data buffering, local storage, fallback modes;
• Integration with backend API (REST/MQTT), queue/telemetry processing;
• Optimization of energy consumption and performance;
• Writing unit-/integration-tests, working with hardware-bring-up.

Requirements:

• Deep experience in firmware development in C/C++;
• Commercial experience with Zephyr RTOS is required (device tree, Kconfig, drivers, subsystems);
• Practical experience with ESP32-S3 / ESP32-C3 / ESP32-C6;
• Understanding MCUboot, partition layout, OTA pipeline;
• Ability to work with peripherals: UART, SPI, I2C, PWM, ADC, RS-485;
• Experience with Modbus (master/slave), preferably with real devices;
• Debugging experience: JTAG, OpenOCD, logic analyzer;
• Git, CI/CD, the ability to work in a normal product, not a "quick fix."

Nice to have:

• BLE (Zephyr BT stack);
• Python for tooling (scripts, tests, production tools).

We Offer:

• Working on a real IoT product (energy logger / gateway), which is already going into production;
• Opportunity for professional growth and career development;
• Vacation - 18 working days per year;
• Friendly working environment;
• Sick leave - 5 working days (without documents);
• Medical insurance.