Staff Software Engineer, API

Staff Software Engineer - Backend

Databricks

P-1441 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.   We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: * Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. * AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.  * Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement. * Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents. What we look for: * BS (or higher) in Computer Science, related technical field or equivalent practical experience. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * 10+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. * Experience with security and systems that handle sensitive data. * Good knowledge of SQL.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.    Canada Pay Range $173,400—$238,350 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Staff Software Engineer - Fullstack

Databricks

P-1444 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.   We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: * Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. * AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.  * Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement. * Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents. What we look for: * 10+ years of experience with HTML, CSS, and JavaScript. * Passion for user experience and design and a deep understanding of front-end architecture. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value. * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember). * 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go). * Good knowledge of SQL. * Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. * Experience developing large-scale distributed systems.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.    Canada Pay Range $173,400—$238,350 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Staff Software Engineer, Big Data

Cognitiv

Are you ready to revolutionize the advertising industry?    At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.    With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.   Now, we’re growing! The Role As a Staff Software Engineer, Big Data, you will define and drive the long-term technical direction of the data platform that powers Cognitiv's AI-driven advertising products. You will lead the architecture and evolution of critical data systems spanning ingestion, warehousing, machine learning feature generation, identity resolution, and activation at massive scale. As a senior technical leader, you will identify systemic challenges, align teams around durable solutions, and drive complex initiatives that span engineering, science, machine learning, and product organizations. Your work will shape the scalability, reliability, and strategic capabilities of Cognitiv's data platform for years to come. Location: Our Vancouver office will open on September 1 in Mount Pleasant. The Founding Engineering team will work remotely through the summer. Starting September 1, the role will transition to a hybrid model: in-office Monday-Wednesday, with remote flexibility on Thursday and Friday. Your Impact In this role, success is measured by the durability of your technical solutions, the health of the data platform, and your influence across the engineering organization. You will: * Lead Platform Architecture: Define and evolve the architecture of Cognitiv's large-scale data platform, ensuring ingestion, storage, processing, and serving systems can scale to support future business growth, AI initiatives, and increasing data volumes. * Drive Multi-Team Data Initiatives: Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and Product teams. Align stakeholders, reduce execution risk, and deliver outcomes that improve platform capabilities across the organization. * Shape Long-Term Technical Direction: Evaluate architectural tradeoffs with a 3–5 year horizon, establish technical standards and paved-road solutions, and drive modernization efforts that improve scalability, reliability, developer productivity, and operational efficiency. * Elevate Reliability and Operational Excellence: Lead architecture reviews, failure-mode analysis, and incident retrospectives. Establish mechanisms to proactively identify, prioritize, and reduce technical risk across critical data systems. * Own Cost and Efficiency at Scale: Treat cost as a first-class architectural dimension for a multi-petabyte data platform. Lead cost vs. performance tradeoff decisions across storage tiering, compute, file layout, and data movement, and build the visibility and guardrails that let teams reason about unit economics when they design systems. * Advance Data and ML Platform Capabilities: Guide the evolution of foundational systems including the identity graph, ML feature platform, feature projection infrastructure, warehouse architecture, and large-scale distributed processing frameworks. * Partner on Strategic Priorities: Collaborate with Engineering, Product, Science, and Machine Learning leadership to align platform investments with business objectives, balancing technical debt, platform health, and product velocity. * Grow Engineering Talent: Mentor senior engineers and emerging technical leaders. Raise engineering standards through design reviews, architectural guidance, technical artifacts, and thoughtful coaching. Tech Stack: Java/Python, Spark, Flink, Kafka, Iceberg, ClickHouse, and AWS services (EMR, EKS, S3) Who You Are * Staff-Level Technical Leader. You bring 10+ years of experience building and evolving large-scale distributed systems, data platforms, or backend infrastructure, with a track record of influencing technical direction beyond a single team. * Expert in Big Data Systems. You have deep experience designing and operating large-scale data processing platforms using technologies such as Spark, Kafka, Flink, Iceberg, ClickHouse, or similar distributed systems. * Architectural Thinker. You have led architectural decisions for complex systems and can balance scalability, performance, reliability, maintainability, and business needs when making technical tradeoffs. * Cross-Team Influencer. You have successfully driven complex initiatives across multiple teams and functions, aligning stakeholders around durable technical solutions without direct authority. * Cloud-Native Systems Builder. You have extensive experience building and operating data-intensive systems in cloud environments such as AWS, Azure, or GCP. * Strategic Problem Solver. You identify systemic technical challenges, proactively create solutions, and drive execution with minimal guidance. * Mentor and Multiplier. You elevate the effectiveness of engineers around you through mentorship, technical leadership, and establishing engineering best practices. * Exceptional Communicator. You effectively communicate technical strategy, architectural decisions, and tradeoffs to engineering leaders, product stakeholders, and executive audiences. Bonus Points If You Have * Experience designing, scaling, and maintaining petabyte-scale data platforms * Expertise in distributed systems architecture and large-scale data processing * Experience building ML infrastructure, feature stores, or feature engineering platforms * Experience driving platform modernization or data architecture transformations * Experience operating in high-growth startup or scale-up environments * Deep familiarity with Flink, ClickHouse, Kafka, Iceberg, or similar modern data technologies What We Offer At Cognitiv, we believe great work happens when people feel supported, challenged, and empowered to grow. Our Vancouver team receives a competitive total rewards package that includes extended health benefits, paid parental leave, unlimited PTO, Work-From-Anywhere August, equity, RRSP matching, wellness and cell phone stipends, daily team lunches, and a hybrid work environment. We also invest deeply in career development through clear advancement paths and comprehensive onboarding via Cognitiv University — plus additional perks designed to support both your professional and personal wellbeing. Salary: $170,000 - $240,000 CAD Base Salary + Equity WHAT WE OFFER Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you’ll also receive equity and a comprehensive benefits package.   Highlights include: * Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees * 12 weeks paid parental leave + 4 weeks WFH * Unlimited PTO + Work-From-Anywhere August * Career development with clear advancement paths * Equity for all employees * Hybrid work model & daily team lunch * Health & wellness stipend + cell phone reimbursement * 401(k) & RRSP with employer match * Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits * Employee Assistance Program * Comprehensive onboarding (Cognitiv University) * …and more! WHAT YOU’LL FIND AT COGNITIV * Festiv – We make work fun with cross-team games, events, and creative team bonding. * Responsiv – You’ll be close to clients and leadership, influencing real outcomes. * Inclusiv – Diversity and individuality are celebrated across all levels. * Inventiv – We reward curiosity and embrace bold ideas. * Transformativ – We support your growth with training, mentorship, and flexibility. * Collaborativ – We operate across coasts, connected by purpose and teamwork. Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.   Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.