Olive

We are hiring a Senior Software Engineer (Full Stack) for a fast-growing wellness-tech company building a modern platform for the head care and hair treatment industry. The product combines professional diagnostic tools, standardized treatment protocols, and integrated e-commerce capabilities to help salons and wellness centers deliver personalized, data-driven experiences to their customers.

The platform serves as an end-to-end system for head spa providers, enabling them to analyze scalp conditions, manage treatment workflows, and seamlessly connect services with product sales. The system is already in use and continues to evolve as the company expands its footprint globally.

The product is built with a modern full stack architecture using React and NestJS, running on AWS infrastructure. It includes integrations with third-party platforms like Shopify and Zoho, supports real-time data processing, and relies on a combination of relational and NoSQL databases. The team is small, highly focused, and operates in a fast-paced remote environment.

In this role you will act as a key technical contributor and take ownership across the entire product lifecycle, from architectural decisions to production support. This is not just an execution role, but a position with real influence on technical direction and product quality.

Responsibilities

• Work across the full stack using React and NestJS to build and maintain product features

• Own features end-to-end from design and architecture through deployment and support

• Manage and improve AWS infrastructure, including IAM (Cognito) and cloud services

• Develop and maintain CI/CD pipelines using GitHub Actions

• Contribute to infrastructure as code using Terraform, CDK, or CloudFormation

• Research solutions, build PoCs, and drive technical decisions

• Ensure system reliability, scalability, and performance in production

• Provide L3/L4 support and resolve production issues when needed

• Collaborate closely with business stakeholders to translate requirements into technical solutions

Tech Stack

• Frontend: React, TypeScript, SCSS

• Backend: Node.js, NestJS, Python (plus)

• Databases: PostgreSQL, Redis, DynamoDB

• Cloud: AWS

• Infrastructure: Terraform, CDK, CloudFormation

• Search: Elasticsearch, Solr, or OpenSearch (plus)

• Mobile: Android (Kotlin is a plus)

• Integrations: Shopify, Zoho (Deluge scripting)

Requirements

• Strong experience in full stack development and system integration

• Solid understanding of HTTP, REST APIs, and networking fundamentals

• Proven experience working with AWS, Docker, and Linux environments

• Hands-on experience with CI/CD pipelines and infrastructure as code

• Advanced knowledge of git and version control workflows

• Experience working in fast-paced, remote environments

• Strong ownership mindset and ability to work independently

AI & Modern Engineering Expectations

Candidates are expected to actively use AI-powered development tools such as GitHub Copilot, Claude Code, or similar to accelerate development, improve code quality, and support refactoring and research workflows.

Nice to Have

• Experience with search technologies like Elasticsearch or OpenSearch

• Experience with e-commerce or CRM integrations (Shopify, Zoho)

• Mobile development experience (Android, Kotlin)

• Experience working with Python in production environments

This is an opportunity to join an early-stage, privately funded company as a foundational engineer, with real ownership over the product and direct impact on its evolution. As the company grows, both scope and compensation will scale accordingly.

The role is fully remote and requires strong English communication skills.

We are hiring a Senior Full Stack Engineer for an Israeli AI company building a cloud-native platform for AI-powered video adaptation at scale. The product enables media companies, marketing teams, and creators to localize video content into any language with natural-sounding dubbing, expressive lip sync, and context-aware translation - all fully automated and production-ready.

The platform runs a proprietary AI dubbing pipeline across translation, voice synthesis, and visual lip correction, and delivers polished output through an enterprise studio interface and a developer API. Clients include TED, NBA, and Wix. The system handles everything from single creator clips to enterprise batch workflows across thousands of videos, integrated into broadcast-grade and marketing production pipelines.

The backend is built on async Python and FastAPI, processing real-time audio and video streams. The frontend is a React and TypeScript studio where translators, QA teams, and enterprise clients review, fine-tune, and publish dubbed content. Infrastructure runs on AWS with Kubernetes and Docker. The product is live, growing fast, and operating at a scale that makes every engineering decision matter.

In this role you will own features end-to-end across the full stack, working directly with the core AI and video engineering teams to build the interfaces, services, and pipelines that make complex media processing feel simple and reliable.

Responsibilities

- Take ownership of complex features end-to-end, from backend services to frontend

- Design and implement scalable backend services and APIs in async Python and FastAPI

- Build and maintain the React/TypeScript studio frontend

- Work closely with advanced video and AI algorithm teams

- Own features from architecture through production deployment

- Optimize for performance, reliability, and latency in a media-heavy, real-time environment

- Mentor engineers and drive engineering best practices across the team

Tech Stack

- Async Python, FastAPI, AWS, Kubernetes, MongoDB, Redis, React, TypeScript, real-time video/audio in the browser

Requirements

- 5+ years of experience as a full stack engineer

- Strong full stack engineer who can drive complex technical tasks independently

- Product-minded - able to translate product needs into solid technical solutions

- Comfortable working across Python backend, cloud infrastructure (AWS / Kubernetes), and frontend stack (React, TypeScript)

- Experience integrating complex algorithms or data pipelines into production systems

- Fluent English and strong communication skills

Nice to Have

- Deep knowledge of video technologies (e.g. FFmpeg, codecs, streaming, media pipelines)

This is a long-term opportunity to work on technically serious problems - media AI, real-time processing, and enterprise-grade infrastructure - at a company trusted by some of the world's leading media and tech brands, and growing across every market it enters.

We’re hiring a Trainee Manual QA Engineer on behalf of our client — a global leader in web data solutions that supports Fortune 500 brands (like LG, Samsung, Logitech) by collecting and organizing public web data for critical market insights.

This is a perfect opportunity for someone starting their QA career and looking to grow in a supportive, real-world environment while working with international clients and experienced developers.

What You’ll Do

• Learn how to gather and document requirements from global enterprise clients.

• Assist in checking the accuracy and quality of collected web data.

• Perform basic functional and exploratory testing of web crawlers (you’ll get full guidance and mentorship).

• Track and report issues to developers using Monday.com or similar tools (we’ll show you how).

• Communicate with project managers and QA team to ensure client needs are met.

• Continuously learn and improve your QA skills through hands-on experience.

What We’re Looking For

• Basic understanding of software development or testing (can be from courses, self-study, or bootcamps).

• Interest in web technologies (HTML, HTTP, web scraping — we’ll teach you the rest).

• Good communication skills and a desire to work with clients.

• Upper-intermediate to advanced English (B2+) — you’ll be speaking and writing with international teammates.

• Attention to detail and willingness to learn quickly.

Nice to Have (but not required)

• Familiarity with tools like Postman or basic SQL.

• Any QA certifications (like ISTQB), courses, or personal projects.

If you’re eager to start your QA journey and gain hands-on experience working with global brands, we’d love to meet you!

We're looking for a motivated JavaScript developer at the junior or trainee level to join a team that builds production-grade web scrapers for enterprise clients. Your work will run on enterprise-level web data infrastructure used by some of the world's most recognizable brands - from Fortune 500 retailers like Nike to global technology companies like Philips - powering their market research, price intelligence, and competitive data pipelines.

This is a hands-on engineering role. You won't be writing toy examples - from early on you'll be building real scrapers that extract structured data at scale.

Responsibilities

- Analyze target websites using Chrome DevTools to understand DOM structure and network requests

- Write JavaScript scrapers using Cheerio and related libraries

- Craft precise CSS selectors and XPath expressions to reliably target data elements

- Use Postman to inspect APIs and reverse-engineer data endpoints where applicable

- Handle pagination, dynamic content, and common anti-scraping patterns

- Deliver clean, structured output data (JSON/CSV) per client specifications

- Maintain and update existing scrapers as target sites change

Tech stack

JavaScript, Cheerio, CSS Selectors, XPath, Chrome DevTools, Postman, Git

Requirements

- 1 year of JavaScript experience in any context (commercial, freelance, or project-based), OR currently enrolled in / recently graduated from a Software Engineering, Computer Science, or related program

- English B2 or higher - you must be able to read technical documentation and communicate with the team in English

- Understanding of HTML/DOM structure and HTTP basics

- Ability to learn independently and figure things out from documentation

Nice to have

- Any personal or academic projects involving scraping, parsing, or browser automation

- Familiarity with Node.js ecosystem

- Basic knowledge of how proxies or headless browsers work

What we offer

- Work on real client projects from day one - no synthetic tasks

- Mentorship and code review from experienced engineers on the team

- Remote-first, fully async-friendly - work from anywhere

We are hiring a Senior Full Stack Developer for an Israeli deep tech company building a cloud-native platform for monitoring critical infrastructure at scale. The product helps utilities, energy companies, and infrastructure operators detect threats, anomalies, and operational events in real time across thousands of kilometers of pipelines, power lines, railways, and perimeter assets.

The platform processes continuous streams of acoustic sensor data from distributed fiber optic networks, runs machine learning classification on top of it, and delivers actionable alerts through a smart command and control interface. It integrates with SCADA systems, Digital Twins, and other enterprise control environments. The frontend is the primary window into all of this - maps, dashboards, real-time alerts, and operational workflows that field teams and enterprise clients rely on daily.

The system is cloud-native, built around Next.js and NestJS in TypeScript, running on AWS with Kubernetes and Docker. The product is live, used by real enterprise customers across multiple industries and geographies, and continues to grow in scope and scale.

In this role you will work across the full stack, owning features end-to-end from architecture through production. You will collaborate closely with product, R&D, and domain experts to build interfaces and services that make complex sensor data understandable and actionable.

Responsibilities

- Design and implement scalable, high-performance web applications end-to-end

- Architect backend services and APIs using NestJS

- Build modern, responsive frontend applications with Next.js

- Leverage modern AI tools and workflows to increase development velocity and code quality

- Be part of complex technical discussions with the ability to contribute a major part to the discussion and decisions

- Own features from concept to production

- Optimize performance, reliability, and security across the stack

- Mentor developers and promote engineering best practices

Tech Stack

- Full stack: Next.js, NestJS (TypeScript)

- System design: Chakra UI

- Infrastructure: Kubernetes, Docker, CI/CD pipelines

- Database: SQL / NoSQL (depending on service)

- Cloud: AWS (Lambda, ECS/EKS, S3, RDS, etc.)

Requirements

- 5+ years of experience as a Full Stack Developer

- Proven experience with relevant technologies and frameworks

- Strong understanding of system design (experience with Chakra UI is an advantage), scalability, and cloud architecture

- Solid experience working with AWS in production environments

- Fluent in English and strong communication skills

- Experience working in startup or fast-paced environments

- Strong problem-solving skills and ownership mindset

- Hands-on experience with Docker and Kubernetes

AI & Modern Engineering Expectations

Candidates must be proficient and up to date with the latest AI advancements, actively using AI-powered development tools (like Claude Code, Code Rabbit, or similar) to accelerate development, enhance code quality, and innovate product features where AI adds user value.

Nice to Have

- Experience designing and developing microservices architecture

- Experience with Python and Dash

- Background in performance optimization and distributed systems

This is a long-term opportunity to work on a technically serious product with real enterprise customers, meaningful infrastructure scale, and strong engineering culture in one of Israel's most awarded deep tech companies.

We are hiring a Full Stack & Python AI Engineer for an international product company operating globally in the consumer and manufacturing domain. The company is building internal digital platforms focused on automation, data-driven decision-making, and AI-powered workflows used across multiple business units.

The role is part of a long-term initiative to develop and evolve core internal systems that combine modern web applications, real-time communication, and LLM-based features.

You will work across the full stack, owning features end to end, from Angular frontend components to Python backend services and AI integrations.

Responsibilities

• Develop full stack features using Angular 18+ and Python

• Build backend services with Quart (async Flask-style framework)

• Design and maintain REST APIs and WebSocket-based real-time functionality

• Implement AI-driven features using LLMs, embeddings, and RAG pipelines

• Work with vector databases (Qdrant or similar) and MongoDB

• Use Docker for development and deployment workflows

• Improve existing systems, focusing on performance, scalability, and architecture

• Collaborate with engineers and stakeholders on system design and long-term evolution

Requirements

• 7+ years of overall experience as a full stack or backend-focused engineer

• Strong hands-on experience with Python, including Flask or Quart

• Production experience with Angular (project uses Angular 18+)

• Experience building Web APIs and real-time systems

• Hands-on experience with LLMs, embeddings, and text-based AI use cases

• Experience working with MongoDB and SQL databases

• Practical experience with Docker

• Ability to work independently and take ownership of complex systems

• Professional English level

Nice to Have

• Experience with Azure

• Familiarity with LangChain or LangGraph

• Background in enterprise or manufacturing-related systems

• Experience with Django

We are hiring a Senior DPDK / Systems Engineer for a Canadian product startup building a carrier grade network intelligence platform.

The company develops a high performance deep packet inspection and traffic classification engine used in security, intelligence, and telecom environments. The core system processes network traffic at extremely high throughput with strict latency requirements and is designed for continuous operation in carrier grade infrastructures.

The product is a low level, performance critical system built around DPDK and modern systems programming practices. It operates at line rate speeds, processes tens of millions of concurrent flows, and performs deep L7 inspection, traffic classification, and shaping in real time.

In this role, you will work close to the hardware and network stack, owning critical parts of the packet processing pipeline and performance optimization, in collaboration with senior system architects and infrastructure engineers.

Responsibilities

• Design and implement high performance DPDK RX/TX pipelines with zero copy forwarding

• Build per core, lock free flow tables supporting tens of millions of concurrent flows

• Implement L7 protocol parsing including HTTP, TLS SNI, DNS, QUIC, and custom protocols

• Develop application and traffic classification using signature based and ML assisted approaches

• Implement traffic shaping and QoS mechanisms such as hierarchical token bucket

• Integrate high performance pattern matching using Hyperscan

• Perform deep performance optimization using SIMD, cache tuning, and NUMA aware design

• Profile and debug performance bottlenecks using tools such as perf, VTune, or similar

• Work closely with hardware, infrastructure, and backend teams to ensure end to end system efficiency

Requirements

• 5+ years of hands on experience with DPDK in production systems, not research or prototypes

• Strong systems programming background in C++ or Rust, with willingness to work in Rust

• Deep understanding of poll mode drivers, mbufs, lockless data structures, and NUMA architectures

• Solid knowledge of TCP/IP stack internals and packet level protocol parsing

• Proven experience building and optimizing low latency, high throughput network systems

• Strong debugging and performance analysis skills

• Ability to work independently on complex, low level technical problems

• English level sufficient for technical discussions in an international engineering team

Nice to have

• Experience working at networking vendors or telecom equipment companies

• Background in carrier grade DPI systems

• Hands on experience with traffic shaping or QoS implementations

• Experience with ML inference pipelines such as ONNX Runtime

• Familiarity with eBPF, XDP, or kernel bypass techniques

• Experience with hardware offload technologies such as Flow Director or SR IO V

This is a long term opportunity to work on a technically extreme system at the core of a growing Canadian startup, solving hard performance problems at scale and building software that operates at the limits of modern networking hardware.