Olive

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.

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 Backend Developer (Node.js) for a product company building an AI powered pricing and repricing platform for ecommerce sellers. The product helps online merchants automate pricing decisions across multiple sales channels, process large volumes of product and market data, and react to changes in real time to improve revenue and margins.

The platform is data intensive and integration heavy. It works with external marketplaces, payment systems, messaging providers, and internal automation pipelines. A significant part of the system is focused on scalable REST APIs, background job processing, real time updates, and reliable communication between services.

The backend is cloud native and runs on GCP. It is built around Node.js and Express, with MongoDB as the primary database, Redis for caching and queues, and OpenSearch for search and indexing. The system operates under high load and requires careful attention to performance, scalability, and data consistency.

In this role, you will work on core backend services, design and evolve APIs, integrate third party services, and improve the existing codebase. You will be involved in architectural decisions, refactoring, and ensuring high code quality through testing and reviews.

Responsibilities

• Develop and maintain backend services using Node.js and Express

• Design and implement REST APIs and third party integrations

• Work with MongoDB, Redis, and OpenSearch to ensure data efficiency and scalability

• Build and maintain background jobs, queues, and real time communication features

• Integrate external services such as payment providers, email and SMS services

• Write unit and integration tests and participate in code reviews

• Optimize performance, reliability, and scalability of backend systems

• Work with an existing production codebase, including refactoring and improvements

Requirements

• 5 or more years of commercial experience with Node.js

• Strong experience with Express and REST API design

• Solid knowledge of MongoDB, including Mongoose, aggregations, and indexing

• Hands on experience with Redis for caching, queues, or pub sub

• Experience writing automated tests using tools such as Mocha, Chai, or Supertest

• Good understanding of Git based workflows, code reviews, and collaboration

• Experience integrating third party APIs

• Confident English level sufficient for daily work in an international team

Nice to have

• Experience with TypeScript or migrating JavaScript projects to TypeScript

• Experience with GCP services such as Cloud Run, KMS, or Cloud Storage

• Experience with OpenSearch or Elasticsearch

• Experience with WebSockets or real time communication

• Experience with Stripe payments and webhook handling

• Experience with Google APIs, OAuth 2.0, or email processing

• Understanding of background job processing and queue based architectures

• Knowledge of web application security principles

This is a long term opportunity to work on a mature product with real customers, meaningful scale, and a strong technical backend focus.