Staff Software Engineer - Backend

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.

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, API

Asana

At Asana, we believe AI represents the future of work, and APIs are at the heart of how AI connects with the tools where work happens. Asana’s API team owns the gateways that enable data flow into and out of Asana, whether via the public API used to build new apps and agents or our MCP server that enables LLMs to take action in response to natural language. Asana’s rich developer platform and app ecosystem help ensure we can support every use case out there–no matter how big or small the team, and no matter which tools or workflows they use. We’re looking for a staff-level Technical Lead to drive execution and technical vision for our developer platform. Our API team has huge, cross-cutting scope: one day you’ll be partnering with Product to define what a great agentic experience looks like and contributing to the direction of industry-wide protocols, the next you’ll be setting best practices for exposing new Asana functionality via the public API and architecting foundational changes to our API’s core feature set and frameworks, all while mentoring the engineers and developer advocates on the team. If you care deeply about building an agentic future for the enterprise and leading high-performing engineering teams, then we’d love to hear from you! This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve * Set the technical strategy for the API platform within Asana and advocate for engineering-driven investments, with a vision for keeping our systems flexible and maintainable * Drive the team to continually and holistically better itself, enabling the engineers around you to deliver at a high velocity while helping them grow their skills in the process * Be a key collaborator with other groups in Engineering and a technical counterpart to the API team’s Engineering Manager, serving as a public face for API engineering and representing our interests across team boundaries * Partner with Product Management, Design, Data Science, and User Research to deeply understand developer and agentic needs, and then propose elegant solutions to meet them * Own and shape the guidelines for what good API design looks like, partnering with product engineering teams to help them implement those best practices in a self-serve manner * Develop across the entire stack to make developers’ experiences better by writing clean, beautiful code and leaving things better than you found them: this includes writing Scala, Javascript, and Typescript About you * 6+ years of experience working in large codebases * 2+ years leading engineering teams * 1+ years building public-facing API products or Developer Platforms * Excellent communication, collaboration, and delegation skills * Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles * Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others * Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback * Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. * Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $211,000-$240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: * Mental health, wellness & fitness benefits * Career coaching & support * Inclusive family building benefits * Long-term savings or retirement plans * In-office culinary options to cater to your dietary preferences  These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.