Oracle Data Warehouse and Java Technical Lead

About UsAt Cohere, our mission is to scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI-powered experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to excellence is key to fostering the widespread adoption of AI technologies.We take great pride in our craft. Each team member is dedicated to enhancing the capabilities of our models and maximizing the value delivered to our clients. We thrive in a fast-paced environment, working diligently to prioritize our customers' needs.Cohere is a dynamic team of researchers, engineers, and designers, all driven by a shared passion for innovation. We believe that a diverse range of perspectives is essential for creating exceptional products.Join us on this exciting journey and help shape the future of AI!Why this role mattersAs a Machine Learning Engineer focusing on pre-training data, you will be instrumental in developing the data pipeline that supports Cohere’s advanced language models. This role involves conducting data ablations to evaluate data quality and crafting pre-training data mixtures aimed at optimizing model performance. By merging research with engineering, you will play a crucial role in transforming raw data into state-of-the-art AI models and will directly influence key training metrics such as throughput and accelerator utilization.Your contributions will be vital to our mission of delivering reliable and efficient language understanding and generation capabilities, driving innovation in natural language processing. If you're passionate about harnessing data to build foundational AI systems, this position presents a unique opportunity to make a significant impact.Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, and we fully support remote work! This role is open to candidates located anywhere in the EST to EU time zones.As a Machine Learning Engineer, Pre-Training Data, your responsibilities will include:Conducting data ablations to assess data quality and experimenting with data mixtures to boost model performance.Developing robust data modeling techniques to guarantee datasets are structured and formatted for optimal training efficiency.Researching and implementing innovative data curation methods, utilizing Cohere’s infrastructure to propel advancements in natural language processing.Collaborating with cross-functional teams to ensure the integration of high-quality data into our models.

Join Steel as a Member of the Technical Staff in our Infrastructure team, where you will play a pivotal role in building and maintaining robust systems that support our innovative projects. As part of a dynamic team, you'll leverage your technical expertise to enhance our infrastructure capabilities.

"Embrace the power of rapid learning as an engineer in the AI era."What We Seek1. Strong Engineering FundamentalsAt Viggle AI, we believe in the versatility of our engineers, regardless of their specialization—be it frontend, backend, or algorithms. What truly counts is your robust engineering foundation and your capacity to simplify, refactor, and enhance complex systems.As AI transforms the tech landscape at a rapid pace, those with a strong grasp of fundamental engineering concepts can easily adapt and emerge as well-rounded, full-stack contributors. You will take the initiative in building intricate systems and engage closely with product and design teams to create exceptional user experiences.2. Outstanding Learning AptitudeIn an environment defined by swift technological advancements, past knowledge can quickly become obsolete. We prioritize your ability to swiftly learn new open-source tools, adapt to emerging technologies, and thrive in uncertain situations while executing effectively.We invite curious, agile thinkers who are enthusiastic about exploring technology and overcoming challenges to join our dynamic team.About Us:Viggle AI is an innovative startup supported by prominent investors such as a16z and TSFV. We are at the forefront of the Generative AI revolution, focusing on controllable video generation for content creators, providing cutting-edge technology that enables creators to bring their visions to life.Our rapidly expanding app is cherished by a diverse range of creators, from Hollywood professionals to TikTok influencers, and boasts a user base exceeding 30 million, along with hosting the second-largest Discord community globally.Benefits: Thriving startup atmosphere: build diligently, ship quickly, and grow continuously Competitive salary and equity package Comprehensive dental and health insurance Free meals and a vibrant, enjoyable office environment

About Alloy RiverAt Alloy River, we are pioneers in developing agentic applied AI specifically tailored for the finance and accounting sectors. In a world where accounting processes are often disjointed, manual, and reactive, we strive to create intelligent, structured, and decisively operational solutions. Our objective is to revolutionize finance, transforming it from a slow, labor-intensive reporting function into a dynamic, real-time strategic engine that drives profit and ensures control.We have fundamentally re-engineered the general ledger, integrating automation, workflow orchestration, and applied AI into its very core. Rather than having accountants shuffle data between various tools and manage tedious checklists, our advanced system generates outcomes, highlights exceptions, and amplifies leverage over time. This is not mere incremental enhancement; it represents a comprehensive redesign of financial infrastructure for an AI-driven future.With over $30 million raised to date from notable investors including Portage Ventures, Electric Capital, Elad Gil, and distinguished angels such as Tobi Lütke and Balaji Srinivasan, we are expanding our operations with the finest builders, operators, and craftsmen in the industry.Role OverviewIn this pivotal role, you will be the architect behind our foundational systems. The patterns you design will dictate the movement and settlement of financial data across the ledger, enabling others to build upon it rapidly and securely. Your responsibilities will encompass core system architecture, integration infrastructure, and the abstractions that ensure a cohesive and scalable codebase. Your work will be critical to product builders, agents, and future team members. Managing financial data requires meeting rigorous standards that most software does not encounter, and your contributions will set the benchmark.What You'll Work OnLead the development of the fundamental patterns that dictate the movement, matching, and settlement of financial data - the essential layer upon which everything else relies.Create essential primitives that product builders can leverage instead of reinventing: counterparty enrichment, object-arrival matching, and transaction reconciliation.Develop abstractions that empower engineers and agents to contribute effectively while navigating the complexities beneath.Serve as the architectural authority for the team - reviewing methodologies, guiding new projects, and maintaining the coherence of the codebase.What We're Looking ForThis position requires a robust technical foundation and a proven track record of developing systems that serve as the backbone for other engineers. This is not a role for generalists; we seek individuals with substantial experience in building reliable systems.

Infrastructure Technical Staff MemberOn-site | Full-timeCompensation: CA$190K – CA$280KJoin our innovative team at mlabs as we create open-source browser infrastructure that drives the future of AI agents. With over 6,000 stars on GitHub and millions of browser sessions served monthly, our platform has experienced phenomenal growth, expanding 50x in 2025 alone. Our technology empowers developers to create seamless web interactions through our robust API.As one of the pioneering team members, you will collaborate with a high-performance group of four talented individuals, backed by top-tier investors, as we tackle the most challenging issues in distributed systems—from kernel-level debugging to global VM orchestration.The RoleAs an Infrastructure Technical Staff Member, your mission will be to build and enhance the distributed systems that support millions of browser sessions. Given the resource-intensive nature of browsers, your focus will be on optimizing performance, ensuring rapid startup times, and maintaining strong multi-tenant isolation across our infrastructure.Key Responsibilities:Global Orchestration: Design and maintain VM orchestration using technologies such as Nomad, Firecracker, and Kubernetes, with a focus on intelligent scheduling and achieving sub-second cold starts.Systems Engineering: Implement kernel-level observability with eBPF and enhance resource isolation through cgroup v2 and NUMA scheduling.Networking: Develop high-performance networking layers, including anycast routing and cross-region failover.Infrastructure as Code: Manage multi-cloud deployments across AWS, GCP, and Azure while overseeing customer VPCs with Pulumi.Product Ownership: Create developer tools for reliable browser automation and actively contribute to our open-source ecosystem.RequirementsExperience: A minimum of 5 years in operating production-scale distributed systems capable of processing thousands of requests per second.Linux Internals: Extensive knowledge of the Linux kernel, syscall optimization, and eBPF.Security & Isolation: Proven experience with multi-tenancy, resource limits, and security boundaries.Network Fundamentals: Competency in diagnosing complex production issues such as packet loss or routing failures at the protocol level.Execution: A proactive approach to ownership of outcomes from architecture through to deployment.

Role overview This Technical Staff Member position focuses on migrations for Cockroach Labs in Toronto, Canada. The role centers on supporting organizations as they move their data and systems to Cockroach Labs' database products. Collaboration with colleagues from various teams is a key part of planning and carrying out migration strategies that protect data and minimize downtime. What you will do Guide clients through the process of transitioning to Cockroach Labs' database solutions Work closely with teams across the company to design, develop, and implement migration plans Emphasize data integrity and aim to reduce service interruptions throughout migrations

Who We Are:At Cohere, our mission is to harness the power of intelligence for the betterment of humanity. We are at the forefront of developing and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI experiences like content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We firmly believe that our contributions are vital for the widespread integration of AI technologies.Our passion for innovation drives us. Each team member is accountable for enhancing our models' capabilities and delivering exceptional value to our customers. We thrive in a fast-paced environment, committed to excellence and customer satisfaction.Cohere comprises a diverse team of researchers, engineers, and designers, each a leader in their respective fields. We believe that diverse perspectives are essential to building outstanding products.Join our journey and help shape the future of AI!Why This Role Matters:As a Machine Learning Engineer focused on synthetic data, you will be instrumental in developing the synthetic data pipeline that supports Cohere's advanced language models. Your role will involve overseeing the entire lifecycle of synthetic data, which includes maintaining and optimizing the synthetic data pipeline, performing data analysis and generation, and conducting data ablation and model evaluations to assess data quality. You will work with diverse datasets, transforming them through generative models to enhance token efficiency and model performance. By merging research with engineering, you will connect raw data to state-of-the-art AI models, directly impacting critical training metrics such as throughput and accelerator utilization.Your contributions will be pivotal to our mission of providing efficient and reliable language understanding and generation capabilities, fostering innovation in natural language processing. If you have a passion for transforming data into the backbone of AI systems, this role presents a unique opportunity to make a significant impact.Please note: We have offices in London, Paris, Toronto, San Francisco, and New York, and we are proud to be a remote-friendly company! There are no location restrictions for this role within the EST and EU time zones.Your Responsibilities:Design and implement scalable inference pipelines that operate efficiently on large GPU clusters.Conduct data ablation studies to evaluate data quality and experiment with diverse data mixtures to enhance model performance.Collaborate with cross-functional teams to integrate synthetic data solutions into existing AI frameworks.Analyze and optimize data generation processes to support various AI applications.

About the Role Cohere is hiring a Manager of Technical Staff in Toronto. This role leads a team of skilled technical professionals, guiding projects that advance AI technology. The manager sets direction, supports team growth, and ensures projects meet Cohere’s standards. What You Will Do Lead and mentor a group of technical staff members Oversee project delivery, ensuring quality and timely completion Promote collaboration and a supportive team culture Help shape the direction of AI-focused projects at Cohere Location This position is based in Toronto.

Join Our Unique Team!At Farm Boy, you will play a crucial role in fostering a clean, inviting, and safe shopping atmosphere that our customers love. With your keen attention to detail, dedication to excellence, and a customer-centric approach, you will enhance the experience for both our shoppers and fellow team members. Here’s how you will contribute:Provide warm and engaging customer service that aligns with Farm Boy's dedication to delivering the finest fresh shopping experience.Welcome, greet, and assist customers in accordance with Farm Boy Service Standards.Conduct general housekeeping tasks to maintain clean, safe, and organized workspaces, including sweeping, mopping, and dusting.Ensure all shared and team member spaces, such as break rooms, restrooms, and locker areas, are well-kept.Assist in tracking inventory and procuring store supplies as needed.Adhere to corporate policies and procedures with a strong emphasis on Health & Safety, Food Safety, and appropriate equipment usage.Execute assigned opening and closing tasks and support team members as required.Occasionally undertake additional responsibilities to aid overall store operations.

"Harnessing the power of rapid learning is essential for engineers in the AI age." Join Our Team1. Strong Engineering FundamentalsAt Viggle AI, we believe in breaking down the barriers of traditional engineering roles. Whether your expertise lies in frontend, backend, or algorithms, what truly counts is your robust engineering principles and your proficiency in simplifying, refactoring, and optimizing intricate systems.As AI transforms technology, it brings forth innovative tools and methodologies. Engineers with a solid foundation can seamlessly adapt and contribute as versatile, full-stack team members. You will independently develop complex systems while closely collaborating with product and design teams to enhance user experiences.2. Outstanding Learning AptitudeIn a fast-paced AI landscape, prior knowledge can quickly become obsolete. We appreciate your capacity to swiftly learn new, unfamiliar open-source tools, adapt to emerging technologies, and navigate through uncertainty while delivering results.We seek inquisitive and adaptable thinkers who relish the exploration of technology and thrive in uncertain environments. If you are enthusiastic about ongoing learning and personal growth, we encourage you to apply.About Viggle AI:Viggle AI is an innovative startup supported by renowned investors, including a16z and TSFV. At the forefront of the Generative AI revolution, we specialize in controllable video generation, empowering content creators with advanced technology to bring their creative visions to life.Our rapidly expanding application is favored by creators ranging from Hollywood professionals to TikTok influencers, serving over 30 million users and hosting the second-largest Discord community globally.Perks of Joining Us: Dynamic startup atmosphere: Work hard, deliver quickly, and grow daily Competitive salary & equity options Comprehensive dental and health insurance plan Free meals and a vibrant office culture

Join Our Team as a Member of Technical Staff (Applied AI Engineer)Location: TorontoOnsite | Full-timeCompensation: $140K - $260KAt mlabs, we are pioneering an open-source browser infrastructure that fuels the next generation of AI agents and applications. Our high-performance Sessions API empowers developers to create products that engage with the web as effortlessly as humans do.Having achieved an impressive 50x growth in our platform in 2025 through organic word-of-mouth and a robust open-source community (over 6,000 GitHub stars), we are seeking a talented engineer to help us redefine browser automation. Our dedicated, high-caliber team is backed by top-tier investors, and we operate with an intense focus on shaping the future of the internet.The RoleIn this pivotal position, you will bridge the gap between product, research, and community engagement. This role transcends traditional ML or DevRel functions—it's a blend of both. You will collaborate with AI agent developers and our core infrastructure, working closely with the founding team to prioritize and design what we build.Your responsibilities will include conducting experiments to assess the effectiveness of various AI models for browser automation, translating those findings into frameworks, research, and engaging content that resonates with developers. We thrive on hard work and rapid execution, and we expect the same vigor from our team; late nights and weekend work are part of the journey toward creating something extraordinary.Key ResponsibilitiesDevelop a TypeScript browser agent framework that integrates LLMs with our core systems.Conduct experiments to determine the most effective models (such as GPT-4, Claude, Gemini) and prompting strategies for complex web tasks.Create open-source demonstrations and integrations with frameworks like LangChain, CrewAI, and other emerging agent platforms.Author technical blog posts and research publications that position our team as leaders in the browser automation space.Collaborate with our Growth Lead to transform experimental insights into compelling content that boosts developer adoption.RequirementsExperience: A minimum of 4 years in engineering with a proven track record of delivering production AI agents (e.g., web scraping, form filling, research automation).AI Literacy: A profound understanding of current LLMs, frameworks, and techniques, with the ability to assess model trade-offs quickly.Tech Stack: Strong expertise in TypeScript/JavaScript and Python. Familiarity with React, Node.js, and browser automation is a significant advantage.Open Source: You are experienced in open-source development—having contributed to or maintained OSS projects and understanding how to foster community engagement around code.Communication: You possess a passion for teaching and are skilled at writing technical content that inspires and informs others.

Note: We may not be actively seeking candidates for this position currently. This job posting represents one of the various pathways in Allied's CPA Pre-approved Program. We encourage interested candidates to submit their applications, and we will connect with you as opportunities arise.Allied REIT is on the lookout for a Valuation Accountant to become part of our esteemed CPA Pre-approved Program. At Allied, our mission is driven by purpose. As a Valuation Accountant, you will play a crucial role in supporting the property evaluation process through thorough testing and analysis. This enables Allied to make precise and efficient financial decisions that enhance our portfolio. Who You Are:At Allied, we are continually building on our successes, and the future is bright. How do we know this? We have talented professionals like you: engaged individuals who consistently strive for excellence. Throughout your career, you have distinguished yourself through your commitment to quality. You are self-driven, take initiative, and lead by example, uplifting your team as you work toward shared objectives. Above all, you are passionate about Allied’s mission and the impact we have on enhancing cities and communities.

Empower Every Identity, from AI to HumanAt Okta, we believe that identity is pivotal for unlocking the potential of artificial intelligence. We secure AI by constructing a trusted, neutral infrastructure that allows organizations to confidently navigate this transformative era. This endeavor demands a tenacious approach to tackling complex challenges with significant real-world implications. We are in search of innovators and leaders who act with speed and urgency while executing with precision.This is a chance to engage in work that defines your career. If you share our commitment to this mission, we would love to connect.The Okta Security team's mission is to fortify Okta's standing as the premier Identity-as-a-Service solution by identifying and mitigating risks that impact our employees, products, and most importantly, our clients. As the adoption of cloud applications accelerates, businesses are increasingly challenged to assess risks accurately and respond at the pace of their operations.As a Staff Technical Program Manager within the Cyber Defense team, you will be instrumental in advancing large-scale security initiatives. Collaborating with our global Cyber Defense Operations and Engineering teams, you will design, develop, and refine the tools and processes that safeguard Okta and our customers. This position requires outstanding leadership abilities, exemplified by your capacity to influence and align stakeholders across all levels—from individual engineers to executive leadership. You will facilitate effective team collaboration, resolve conflicts, prioritize tasks, and cultivate a culture of shared dedication to mutual objectives.The ideal candidate will possess extensive experience in cybersecurity and a proven history of managing technical programs within a dynamic, cloud-native setting. This role necessitates strong leadership, a sense of ownership, autonomy, and exceptional communication skills, with the capability to translate intricate technical issues into straightforward, actionable strategies.

Since its inception, Fivetran has been dedicated to simplifying and ensuring reliable access to data, much like the electricity that powers our lives. Our platform enables customer data to flow effortlessly into their warehouses, structured and ready for querying, without the need for engineering or maintenance. We take pride in empowering organizations to harness the full potential of their data every day.About the RoleJoin our dynamic ETL Platform team at Fivetran, where we are building robust data pipelines to support the modern data architecture of thousands of companies.As a Staff Software Engineer, you will play a pivotal role in managing the core platform that underpins Census’ sync engine. Your responsibilities will include ensuring the seamless flow of customer data—on time, every time. You will design and implement significant projects like our recent Sync Tracking overhaul, which enhances our ability to capture, store, and process large datasets. This provides our customers with unparalleled visibility over their data streams, ensuring that every record reaches its destination accurately. Our team is also responsible for managing a scalable and adaptable fleet of machines to meet the evolving demands of our clients.This is a full-time, hybrid position based in our Toronto office.

Category-defining tech. Career-defining work.At Cockroach Labs, we are not just another tech company; we are pioneers in creating a scalable, cloud-native distributed SQL database. Our mission is to empower innovative companies by providing them with the tools they need to build and expand their applications seamlessly. We embrace challenges head-on and focus on delivering impactful solutions that truly matter.Because when our customers win, we all win.The RoleWe are on the lookout for a passionate backend software engineer to join our KV team, which is dedicated to enhancing our open-source, cloud-native distributed SQL database. This team plays a critical role in developing the foundational elements of CockroachDB, including Resource Management (data sharding, placement, rebalancing), Admission Control, the Transaction Layer (transactional APIs, distributed transactions, and concurrency control), and the Replication Layer (Raft, distributed lease management, and configuration changes). Collectively, these subsystems form the backbone of CockroachDB, enabling its remarkable scalability and resilience.

About Clutch: Clutch is Canada's leading online retailer of pre-owned vehicles, providing an effortless and hassle-free car-buying journey for drivers across the nation. Customers can explore an extensive selection of cars from the comfort of their homes, have their chosen vehicle delivered directly to their doorstep, and enjoy peace of mind with our 10-Day Money-Back Guarantee. This is just the beginning of the exceptional experience we offer. Recognized as one of Canada's fastest-growing companies for two consecutive years and featured on LinkedIn's Top Canadian Startups list, we are eager to welcome inquisitive, dedicated, and motivated individuals to our expanding team. Founded in 2017 and headquartered in Toronto, Clutch is supported by renowned investors such as Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To discover more, please visit clutch.ca. About the Role: We are on the lookout for a Staff Data Scientist to spearhead significant advancements in our pricing algorithms and machine learning systems. This high-responsibility role is ideal for someone who excels in uncertainty, can delve deeply into research and modeling, and has a proven history of deploying machine learning solutions that yield measurable business results. You'll work on machine learning systems that already contribute to substantial outcomes, including pricing models that enable the purchase of over $1 million in vehicles daily without human intervention, with a remarkable opportunity to enhance them as we continue to scale. Joining a compact, high-impact data team, your contributions will be visible, measurable, and vital to our business, with opportunities to expand into other influential machine learning areas such as lending, logistics optimization, fraud detection, and recommendation systems. In this role, you will manage problem areas end-to-end—from identifying opportunities and developing strategies to deploying production-ready models and driving quantifiable improvements in margin and conversion rates. Your Responsibilities: Lead and enhance Clutch's pricing algorithms, striking a balance between margin, conversion, and customer satisfaction. Conduct in-depth analyses of market and vehicle data to uncover critical correlations between vehicle characteristics, market trends, and pricing outcomes. Develop, validate, and implement machine learning models and algorithms in production, iterating swiftly based on real-world performance. Oversee feature engineering, model assessment, and experimentation design. Collaborate with Product, Engineering, Strategy & Ops, and Sales to prioritize high-impact opportunities. Contribute to other applied machine learning domains as necessary.

About Our TeamAdaptive ML is an innovative AI startup specializing in the development of a Reinforcement Learning Operations (RLOps) platform designed to empower enterprises to tailor large language models for their specific needs, ensuring reliable deployment into production workflows with quantifiable results.Our Success team plays a pivotal role within our Technical Staff. While the Technical Staff focuses on developing the core technology that drives Adaptive ML, the Success team is dedicated to helping our enterprise clients maximize the value of these technologies, particularly through our Adaptive Engine product. Adaptive Engine enables businesses to construct, evaluate, and deploy the most effective models tailored to their unique requirements. Our founding team has previously collaborated on creating state-of-the-art open large language models. Following a successful $20M seed funding round led by Index Ventures and ICONIQ in early 2024, we are actively working with our first enterprise customers, including Manulife, AT&T, Deloitte, and more to be announced soon.About the RoleAs an AI Engineer (Pre-Sales) at Adaptive ML, you will serve as the technical liaison for our sales team, assisting potential clients in understanding how the Adaptive Engine can address their most challenging issues. Your role will involve crafting and presenting impactful demonstrations, guiding customers through proof of concepts, and creating technical proposals that underscore the unique advantages of our platform and reinforcement learning capabilities.This role is distinctly technical, offering you the chance to engage hands-on with the Adaptive Engine—developing demos, fine-tuning large language models, and initiating pilots that transition prospects into clients. Additionally, you will contribute to shaping the product roadmap by identifying and articulating customer needs and insights.Please note: This is an in-person position based in our Toronto or New York offices.Your ResponsibilitiesCollaborate with the sales team to engage prospects, identifying business challenges and aligning them with Adaptive ML solutions.Design and present engaging technical demonstrations tailored to the specific use cases of customers.Lead and oversee proof-of-concept (POC) initiatives and pilots, ensuring technical success and achieving clear business objectives.Create prototype pipelines and fine-tuned large language models using the Adaptive Engine to illustrate production-ready solutions.

About ShyftLabsAt ShyftLabs, we are passionate about leveraging data to drive innovation. Since our inception in 2020, we have empowered Fortune 500 companies to achieve remarkable growth through our state-of-the-art digital solutions that revolutionize industries and deliver tangible business results. As we continue to expand rapidly, we seek enthusiastic problem-solvers eager to transform visionary ideas into impactful realities.The OpportunityJoin our dynamic Toronto-based startup where we are creating data-centric products designed for massive scalability. We are in search of a Technical Lead / Backend Architect to lay the groundwork for our backend architecture as we gear up for our next growth phase. In this pivotal role, you will actively participate in designing distributed systems capable of processing billions of events on a monthly basis, while also mentoring our engineering team to develop scalable, secure, and high-performance services.This is your chance to take charge of architectural decisions, steer the technological direction, and collaborate with a dedicated team that values speed, experimentation, and craftsmanship.

Join us as a Member Support Expert at alan, where you will be at the forefront of delivering exceptional customer service to our members across Canada. Your primary responsibility will be to assist our members with their inquiries, ensuring they have a seamless experience with our services.We are looking for individuals who are passionate about helping others and have strong communication skills. Your role will involve addressing member questions, troubleshooting issues, and providing guidance on our products and services. Join a dynamic team that values innovation and puts our members first!