Associate Software Engineer Java Distributed Systems And Databases Consultant Consultant in Canada

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are seeking an experienced Staff Software Engineer to join Okta's Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships. Opportunity This position will be involved into development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment. What you’ll be doing Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment. Develop and implement frameworks and toolings for our Universal Directory Service platform. Design and implement high-performance distributed scalable and fault-tolerant software components. Quickly deliver high-quality bug fixes and handle customer-reported issues. Conduct quality code reviews and automated testings. Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work. What you’ll bring to the role The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and prod

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are You are self-driven and like to work with others to remove roadblocks. You are curious, and love to explore and learn new technologies. You have demonstrated the ability to build, deploy and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework. Your Success Profile What You Will Work On As a part of the Workforce Management team, you will drive our expansion into exciting new verticals, enriching our platform to attract and delight new customer segments. Your mission will be to architect and deliver foundational solutions in the Applicant Tracking Systems (ATS), Contractor, and Expenses domains. Our specialized product pods focus on building lean, high-impact features for customers who want a streamlined experience without the overhead of a bloated platform. You'll join the expenses pod in Toronto and help build the platform that handles expense submissions, approvals, and reimbursements for Justworks customers. Working alongside 3-4 senior engineers, you'll contribute to our migration from Ruby to Go, build AI-powered features, a

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. Building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives requires robust, scalable software systems operating at massive scale. Our highly motivated Software Engineers work on these challenging problems and build the systems that directly impact various aspects of our core business. If you are a critical thinker with experience building software systems, passionate about solving business problems through well-crafted code and working in a dynamic, creative, and collaborative environment, we are searching for you. As an associate software engineer, you will be designing, building, and launching the services that power the platform's core products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, distributed systems, backend services, mapping, personalization, and real-time infrastructure. We are hiring motivated engineers across each of these areas. We're looking for someone who is passionate about solving problems with code, building reliable and maintainable systems, and is excited about working in a fast-paced, innovative, and collegial environment. You will report to a Software Engineering Manager. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to build software for business and user impact Perform technical analysis and build proof-of-concept prototypes to explore and propose solutions to both new and existing problems Design and develop software components, services, and APIs Write production quality code to launc

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Engineer you will: Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues Lead security operation functions – including vulnerability management, SAST, DAST, detection engineering, and incident response – in CI/CD and cloud-native production environments Integrate security into our applications throughout the software development lifecycle Collaborate with product and development teams, driving the success of larger projects to ensure that software is built and deployed securely without compromising agility and speed Driving and supporting bug bounty program, application security reviews and threat modeling, including code review and dynamic testing Assess and integrate security tools to automate and scale security processes, i.e: evaluate open-source vs vendor solutions Gather and analyze security metrics to address security issues with cross-team dependencies Be a problem solver who is empathetic to developer concerns and will employ constructive and flexible approach to building innovative solutions You may be a good fit if: 5

Associate Radio Frequency (RF) - Microwave Engineer — USA - El Segundo, Canada. Apply via Workday.

Associate Managing Consultant, Advisors & Consulting Services, Marketing — Toronto, Canada. Apply via Workday.

Electrical Design Engineer (Entry-level/Associate) - Millennium Space Systems — USA - El Segundo, CA. Apply via Workday.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. Responsibilities: Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft Evolve data model and data schema based on business and engineering needs Implement systems tracking data quality and consistency Develop tools supporting self-service data pipeline management (ETL) SQL and MapReduce job tuning to improve data processing performance Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions Experience: Bachelor's degree in Compute

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup. Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months. As a Cohere Research Intern, you will: Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc. Disseminate your research results through the production of publications, datasets, and code. Contrib

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Operations Engineer you will: Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default designs and features into network, tooling, and processes Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by deploying secure architectures using infrastructure-as-code and reusable code libraries Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamling authentication/authorization to ensure unified access control across the board Deploy and operationalize some of the security services and tools (eg: SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling) Respond to security incidents and harden environments post-incidents. Support control monitoring and remediation for compliance initiatives Gather and analyze security metrics to address security issues with cross-team dependencies Be a problem solver who is empathetic to developer concerns and will employ construc

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb a pris le jour en 2007 lorsque deux Hôtes ont accueilli trois invités dans leur maison de San Francisco, et compte depuis lors plus de 4 millions d'Hôtes qui ont accueilli plus d'un milliard d'invités dans presque tous les pays du monde. Chaque jour, les Hôtes proposent des séjours et des expériences uniques qui permettent aux invités de se connecter de manière plus authentique aux communautés. La communauté que vous rejoindrez: Nous recherchons un(e) candidat(e) engagé(e) et enthousiaste pour offrir un service client exceptionnel à la communauté Airbnb en tant que Spécialiste du service client, Support Premium. Le/la candidat(e) idéal(e) est accueillant(e), analytique et déterminé(e) à offrir un service de la plus haute qualité, tant à l’oral qu’à l’écrit, en Anglais et en Francais. La différence que vous ferez: L'associé(e) du support premium fonctionne en première ligne et interagit directement avec les clients et les parties prenantes internes. En tant qu'associé(e) du support premium, vous serez responsable de fournir un support de bout en bout aux membres clés de notre communauté, y compris, mais sans s'y limiter, le segment Luxe. Vous prendrez en charge les cas, garantissant une résolution complète tout en favorisant des relations solides avec nos utilisateurs tout au long du processus. Les associés du support premium ont besoin de solides compétences en communication, de capacités de résolution de problèmes et d'une expertise en matière de service client. Ils doivent également être adaptables et réactifs dans notre environnement en évolution rapide, parfois sous pression, tout en restant fl