Senior Data Analyst, Revenue Analytics is a crucial hire not only for our Revenue Analytics team, but for Remote more broadly. This individual will help spearhead the advanced analytics capability at Remote, building predictive models within Sales & Marketing, generating insights, and test hypotheses around what drives revenue growth. In addition, there will be a traditional Reporting & Analytics component to the role (so, it will be a roughly 50% Data Scientist & 50% Data Analyst split in responsibilities in practice). As the first Data Scientist, the person has a unique opportunity to bring advanced craft to Remote, develop both new solutions and ways of looking at existing processes, and raise the standards of what is possible using data and machine learning across the entire organization. Depending on candidate qualifications, expertise and desires, this role can develop into different areas in the future.

What you bring

• At least 2-3 years of data science / advanced analytics / statistical modelling experience, ideally within Sales/Marketing/Finance or other commercial parts of the organization
• Working knowledge of workhorse machine learning algorithms (particularly supervised learning using Python), and their typical use cases in a commercial organization
• Insatiable curiosity to proactively pose deeper questions, not be satisfied with superficial answers, and dig into vast granular data to uncover conclusive answers analytically
• Strong proficiency in SQL to manipulate data easily
• Demonstrated ability to craft precise analytical questions from ambiguous business problems, and roll up the sleeves to address them
• Understanding of causal inference methods to be able to utilize quasi-experimental or other econometric techniques to determine causality among different initiatives (essentially, finding out “what works,” and what does not)
• An attitude to “get stuff done” particularly around being actively involved with data cleaning, building reports or answering important business questions (being a full-stack data professional)
• Top-Tier communication skills in English, to distill complex mathematical models, concepts and findings into simple, intuitive words and charts for senior commercial leaders

Nice To Have:

• Startup/Scaleup Experience, AWS Knowledge, Comfort with distributed & remote teams, EMEA Location, SalesForce Data Experience, Hands-On familiarity with a BI Tool such as Tableau/Looker, dbt, Advanced university degree in Statistics/Mathematics/Physics or other quantitative field
• Some experience of deploying ML models into production ideally highly meriting
• It's not required to have experience working remotely, but considered a plus

Key Responsibilities

• Initially focusing on developing and maintaining KPIs and dashboards with the rest of the team, to monitor metrics and uncover insights as the primary responsibility for the first 6-9 months (also to understand the business effectively)
• Liaising productively with Data Analysts, Analytics Engineers and the business teams/owners to ensure that data products, analysis & statistical models built are not only technically sound but highly effective and widely useful
• Building predictive models around different business areas and problems within Revenue Analytics : Lead Scoring, Marketing Attribution, Customer Churn Prediction, Optimizing Sales Processes
• Maintaining the data pipelines and statistical models, and also continuously calibrate existing models to account for changing business conditions and/or customer behaviour
• Using causal inference and quasi-experimental techniques to dig into historical & current data to statistically identify which initiatives worked and what was the lift they produced
• Owning the data science domain technically, creating new knowledge as well as raising the standards for advanced analytics work

Practicals

• You'll report to: Director of Revenue Analytics
• Direct reports: None
• Team: RevOps - GTM Analytics
• Location: For this position we welcome everyone to apply, but we will prioritise applications from EMEA as we encourage our teams to diversify.
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $35,850 USD to $120,950 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

Roughly 4 hours across 4 weeks

1. Interview with Recruiter (30-45 mins)
2. Interview & Live Technical Assessment with future manager (90 mins)
3. Interview with Team Members (no managers present) (45 mins)
4. Executive Interview (30 minutes)
5. Prior employment verification check

#LI-DNP

Overview:

The Senior Instructional Designer, Data Science is responsible for designing and authoring educational content, creating educational products, and ensuring that learner outcomes can be successfully achieved.

Opportunity Highlights:

• Lead the strategy around what Data Science / AI content we produce and how best to maintain existing offerings, including Data Scientist, Data Analyst, and Machine Learning/AI Engineer Career Paths, as well as Skill Paths and Courses (Analyze Data with Python, Build a Machine Learning Model, and Intro to PyTorch and Neural Networks).
• Design and develop new content related to our Data Science / AI domain, ensuring that Codecademy continues to offer new and relevant curriculum.
• Design specific content offerings that include interactive lessons, videos, quizzes, projects, and outcome-oriented learning paths.
• Review, provide feedback to, and mentor a network of 3rd party authors who contribute content to Codecademy. 
• Act as a Data Science / AI subject matter expert for Codecademy, including advising stakeholders on relevant industry background and best practices.
• Research industry standards and emerging technology, in addition to educational techniques and philosophies, and apply them to curricula.
• Research the learner experience, identify weaknesses in curriculum, and make improvements to existing content.
• Collaborate with:
  • Designers, engineers, product managers, and marketers to design, create, market, and improve Codecademy's curricula. 
  • Customer Support, Curriculum Quality, and Product teams to gain insight into the learner experience and make data-based improvements to curricula.
  • Product and Engineering teams to create and improve the content authoring process and tools and make improvements to our learning environment.

Skills & Qualifications:

• Bachelor's degree or practical experience required.
• 4+ years of professional experience as a teacher or instructional designer designing and delivering technical educational material. 
• Software development experience in one or more general purpose programming languages, including, but not limited to: Python, JavaScript, Ruby, Java, C++, C#, PHP, or Go.
• Experience with developer tools such as Git, GitHub, and the command line.
• Experience with popular Data Science libraries and technologies like Pandas, SciPy, NumPy, Matplotlib, Seaborn, PyTorch
• Experience with BI data analysis tools like R, Excel, Tableau, Looker • Experience with data pipelines, cloud, databases, SQL
• Experience with machine learning and artificial intelligence
• Interest and ability to learn programming languages, libraries, and frameworks quickly.

Target salary range for this job requisition is anticipated to be $80,000 - $100,000.  

Codecademy from Skillsoft! 

MORE ABOUT SKILLSOFT:

Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge. Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance.

Skillsoft partners to thousands of leading global organizations, including many Fortune 500 companies. The company features award-winning systems that support learning, performance and success including Skillsoft learning content and the Percipio intelligent learning experience platform.

Learn more at www.skillsoft.com

About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Solutions Engineering Team:

The JWP Solutions Engineering team collaborates with customers both pre- and post-sales to gain a comprehensive understanding of our product's value proposition and its implementation. We closely partner with customers to assist in designing solutions that leverage both our own and our partners' products.

The Opportunity: 

As a Solutions Engineer, you will: 

• Maintain a thorough understanding of JWP and Platform products.
• Serve as the primary technical point of contact for customers and guide them through the sales process.
• Effectively present and articulate the business value of our solutions and products to managers and executives of all backgrounds.
• Grasp the competitive landscape in video technology and position JWP's product value within that ecosystem.
• Conduct client-facing information gathering sessions and demonstrate JWP's products, delivering technical pre-sales presentations tailored to the needs of prospective publishers.
• Support the RFI/RFP process by providing comprehensive responses to technical requirements.
• Collaborate closely with senior management to internalize feedback and align with sales processes.
• Continuously enhance value and play an integral role in the JWP Sales Team.
• Collaborate within an account team to manage and support an existing book of business, fostering new product adoption while maintaining support for our current customer base.
• Achieve quarterly and annual objectives.

Requirements for the role:

• 2+ years of experience as a Sales Engineer, Solutions Architect, or in a related field, with a focus on Advertising/Video product expertise.
• Excellent presentation skills, including experience delivering technical details to diverse audiences.
• Experience in the Video Delivery, Live Streaming, and OTT space.
• Excellent writing skills for responding to RFI/RFPs and for business communications with customers.
• Demonstrated experience in problem identification and resolution, with a hands-on approach to solving tactical and strategic challenges.
• Experience collaborating with internal departments and stakeholders across Product, Product Marketing, and Marketing.
• Ability to adapt to the evolving landscape of sales and product.
• Solutions-focused attitude and enjoyment in client interactions.
• Demonstrated ability to multitask and pay attention to details.
• Experience with either front-end development (e.g., JQuery, JavaScript, HTML, CSS) or scripting languages (e.g., Python, JavaScript, etc.).

Bonus Points:

• Technical sales or support experience in SaaS organizations, preferably in the video streaming industry.

Perks of being at JWP, Mexico

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

• Professional Career Development Program and Career Development Progression
• New Employee Home Office Setup Stipend
• Monthly Connectivity Stipend
• Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
• Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

Check out our social channels:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

What We Do

As a data organization, we focus on making data a competitive advantage for Calm. We’re product-minded, team-oriented, and grounded in our mission of making the world a happier and healthier place. We work closely with teams across the company such as product, finance, marketing, data science, and more. As a team, we strive to always improve.

What You’ll Do

We’re looking for someone who is comfortable with ambiguity, assesses what needs to be done, and delivers with the right balance of velocity and technical debt. As a Senior Data Engineer, you’ll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions. Our stack spans AWS and GCP, with technologies like Airflow, Redshift, BigQuery, Postgres, Spark, and dbt. Specifically, you will: 

• Work with business stakeholders to understand their goals, challenges, and decisions
• Identify opportunities and build solutions that standardize our data approach to common problems across the company
• Evangelize the use of data-driven decision making across the organization
• Build processes to ensure our data is trusted and well-documented
• Partner with data analysts on refining the data model used for reporting and analytical purposes
• Collaborate with engineering on improving availability and consistency of data points crucial for analysis and represent data team in architectural discussions
• Develop, mentor and train data engineers

Some past projects include:

• Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints
• Creating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creation
• Remodeling a critical data pipeline to decrease our model count by 50% and reduce run time by 83%
• Setting up scalable APIs to integrate our Data Warehouse with 3rd party applications for personalization that reaches tens of millions of customers
• Revamping orchestration and execution to reduce critical data delivery times by 70%

Who You Are

• Proficiency with SQL and an object-oriented language
• Experience with RDBMS, data warehouses, and event systems
• Experience in building data pipelines that scale
• Knowledge of different data modeling paradigms, e.g. relational, data vault, and medallion
• Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
• Strong communication skills
• Pragmatism: balancing scrappiness and rigor

Nice to Haves

• Python programing experience
• Experience with data lakes
• Experience building across clouds
• Some experience in Infrastructure as Code tools like Terraform

Minimum Requirements

• This role typically requires 8+ years of related experience

The anticipated salary range for this position is $185,500- $259,700. The base salary range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, experience and other qualifications. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. 

What We Do

As a data organization, we focus on making data a competitive advantage for Calm. We’re product-minded, team-oriented, and grounded in our mission of making the world a happier and healthier place. We work closely with teams across the company such as product, finance, marketing, data science, and more. As a team, we strive to always improve.

What You’ll Do

We’re looking for someone who is comfortable with ambiguity, assesses what needs to be done, and delivers with the right balance of velocity and technical debt. As a Data Engineer, you’ll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions. Our stack spans AWS and GCP, with technologies like Airflow, Redshift, BigQuery, Postgres, Spark, and dbt. Specifically, you will: 

• Work with business stakeholders to understand their goals, challenges, and decisions
• Assist with building solutions that standardize our data approach to common problems across the company
• Incorporate observability and testing best practices into projects
• Assist in the development of processes to ensure our data is trusted and well-documented
• Effectively work with data analysts on refining the data model used for reporting and analytical purposes
• Improve availability and consistency of data points crucial for analysis

Some past projects include:

• Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints
• Creating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creation
• Remodeling a critical data pipeline to decrease our model count by 50% and reduce run time by 83%
• Setting up scalable APIs to integrate our Data Warehouse with 3rd party applications for personalization that reaches tens of millions of customers
• Revamping orchestration and execution to reduce critical data delivery times by 70%

Who You Are

• Proficiency with SQL and an object-oriented language
• Experience with RDBMS, data warehouses, and event systems
• Experience in building data pipelines that scale
• Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
• Strong communication skills
• Pragmatism: balancing scrappiness and rigor

Nice to Haves

• Python programing experience
• Experience with data lakes
• Experience building across clouds
• Some experience in Infrastructure as Code tools like Terraform
• Knowledge of different data modeling paradigms, e.g. relational, data vault, and medallion

Minimum Requirements

• This role typically requires 5+ years of related experience

The anticipated salary range for this position is $159,300- $223,000. The base salary range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, experience and other qualifications. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. 

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

We are looking for a Product Data Analyst with varying levels of experience to join SeatGeek’s Analytics team. SeatGeek’s Product team makes finding tickets to your next live event as seamless as possible by crafting the best user experience in the business. You will join SeatGeek’s Data Analytics team, who are the go-to partner for Product’s data production, experimentation, and insights generation needs.

Your recommendations will shape decisions across key product functions such as A/B test analysis, conversion and retention monitoring, insight generation, strategic planning, and event logging. You will develop a holistic view of our products across platforms and how they interact with marketing and available inventory to drive value for SeatGeek. You will develop questions, conduct exploratory analyses, build data models and dashboards, and contribute to key data pipelines in our data warehouse. Above all, you will be responsible for developing a deep understanding of SeatGeek’s product and ensuring that understanding is at the heart of our forward-looking strategy.

This is a unique opportunity to make an impact on the post-COVID world of live events. As an integral part of the Analytics team, you will not only learn from our exceptional team, but also develop your business literacy through substantial leadership exposure.

What you'll do

• Join a team of Product Analysts that will influence the directions in which we push our product as we seek to create even greater value for our customers over time
• Study the impact of new product features of customer behavior in order to bring data and insights into every decision we make. Define, evaluate, and monitor key metrics, understanding the root causes of changes, and proactively surface insights to Product leadership
• Perform A/B test analysis within our existing suite of tools and platforms. Deep dive into results to gather insights to shape the experimentation roadmap
• Partner with our engineers to instrument new pages and features to ensure the capture of relevant data Work closely with Data team stakeholders to build lasting data modeling solutions, including automating analyses and authoring pipelines via SQL-based ETL frameworks
• Communicate key learnings and recommendations to product teams in a manner that productively influences decision making

What you have

• 3+ years of relevant experience 
• A degree or higher in economics, computer science, statistics, mathematics, psychology, or another quantitative discipline
• Expert-level knowledge of SQL
• Experience performing analysis with large datasets
• Experience building reports and dashboards using business intelligence tools
• A strong statistical understanding of online testing methodologies and metric development
• Proficiency in a scripting language (Python or R) is a plus
• Domain expertise in product development or past experience working with a consumer-facing digital product team is a plus

Perks

• Equity stake
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Flexible PTO
• Up to 16 weeks of paid family leave
• 401(k) matching program
• Health, vision, dental, and life insurance
• Annual subscriptions to Headspace, Ginger.io, and One Medical 
• $120 a month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $100,000 - $170,000. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

About the Teams

Role location: USA Remote, and/or any of these Cloudflare offices: San Francisco, CA, Austin, TX, Champaign, IL, New York, NY, San Jose, CA, Seattle, WA, Washington, D.C., Toronto, Singapore and Sydney

Cloudflare’s Engineers build and operate the software that helps power 25+ million Internet properties and millions of businesses around the world. Across our engineering organizations, we have opportunities for high caliber, curious and empathetic people to take on big challenges and build some of the best skills in the industry. We’re looking for talented team members to help build high-growth products,  help scale our expanding network, build tools to improve availability, performance, uptime, and response times, and make systems failure-resistant and ready-to-scale.

Cloudflare is a fast growing company and engineering is an ever-evolving function with teams being formed and redefined often. You will interview for an engineering role at Cloudflare and will have the opportunity to meet with and ultimately select one or more teams.  Here are a few examples of the teams that you could be part of.

Application Performance; Application Security; Zero Trust Services; Serverless, Bot Management; DDoS Protection; Network Services / Magic Products; Full Stack / Microservices; Security / Cryptography; Content Delivery; Email Security; API Security; Client / WARP applications; Machine Learning; Threat Intelligence

About the Role

Cloudflare is a system spanning the globe, on a mission to make the Internet better, safer, and more powerful every day. As a Distributed Systems Engineer at Cloudflare, you’ll work on the code that runs close to the end user, runs at a massive scale, and is deployed to 250+ cities around the world.

Examples of software systems at Cloudflare include:

• A TLS/HTTP proxy to make the connection from eyeball to edge as fast and secure as possible
• Filtering malicious traffic and handling good traffic according to customer configuration
• Content optimization that takes content served from customer sites and makes it more performant
• A platform that runs “serverless” Workers and provides a key value store
• A reverse-proxy system that caches customer website content according to customer configuration
• Optimization of connections from Cloudflare to our customers' origin servers to reduce their load and increase performance
• Our Authoritative DNS server and our public resolver 1.1.1.1.
• One of the biggest data pipelines in the world, operating at well over 25M events per second

We operate some of the fastest, and most widely distributed services on the Internet. Your work will focus on building robust, secure, and high performance distributed systems. We are a small engineering team operating at a massive scale, so what you do will have a huge impact.

Examples of desirable skills, knowledge and experience

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet
• Confidence to work in multiple programming languages - could include C, Go, Rust, Python, Lua and even PHP
• Experience (and love) for debugging to ensure the system works in all cases
• Strong systems level programming skills
• Excited by the idea of optimizing complex solutions to general problems
• Experience with a continuous integration workflow and using source control (we use git)
• Good Unix knowledge, patches to Operating Systems a huge plus for some roles
• Understanding of security issues and responsibilities
• Experience with monitoring, alerting and debugging high volume production systems
• Fluent in analyses of data sets such as logs
• Designing and building APIs
• Great oral and written communications skills
• Desire to learn and improve
• Willing and eager to share knowledge, and mentor

Compensation

• For Colorado-based hires: Estimated annual salary of $137,000 - $167,000
• For New York City, Washington, and California (excluding Bay Area) based hires: Estimated annual salary of $154,000 - $188,000
• For Bay Area-based hires: Estimated annual salary of $162,000 - $198,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

About the Teams

Role location: Lisbon, Remote Portugal, London, Remote UK. 

Cloudflare’s Engineers build and operate the software that helps power 25+ million Internet properties and millions of businesses around the world. Across our engineering organizations, we have opportunities for high caliber, curious and empathetic people to take on big challenges and build some of the best skills in the industry. We’re looking for talented team members to help build high-growth products,  help scale our expanding network, build tools to improve availability, performance, uptime, and response times, and make systems failure-resistant and ready-to-scale.

Cloudflare is a fast growing company and engineering is an ever-evolving function with teams being formed and redefined often. You will interview for an engineering role at Cloudflare and will have the opportunity to meet with and ultimately select one or more teams.  Here are a few examples of the teams that you could be part of.

Application Performance; Application Security; Zero Trust Services; Serverless, Bot Management; DDoS Protection; Network Services / Magic Products; Full Stack / Microservices; Security / Cryptography; Content Delivery; Email Security; API Security; Client / WARP applications; Machine Learning; Threat Intelligence

About the Role

Cloudflare is a system spanning the globe, on a mission to make the Internet better, safer, and more powerful every day. As a Distributed Systems Engineer at Cloudflare, you’ll work on the code that runs close to the end user, runs at a massive scale, and is deployed to 250+ cities around the world.

Examples of software systems at Cloudflare include:

• A TLS/HTTP proxy to make the connection from eyeball to edge as fast and secure as possible
• Filtering malicious traffic and handling good traffic according to customer configuration
• Content optimization that takes content served from customer sites and makes it more performant
• A platform that runs “serverless” Workers and provides a key value store
• A reverse-proxy system that caches customer website content according to customer configuration
• Optimization of connections from Cloudflare to our customers' origin servers to reduce their load and increase performance
• Our Authoritative DNS server and our public resolver 1.1.1.1.
• One of the biggest data pipelines in the world, operating at well over 25M events per second

We operate some of the fastest, and most widely distributed services on the Internet. Your work will focus on building robust, secure, and high performance distributed systems. We are a small engineering team operating at a massive scale, so what you do will have a huge impact.

Examples of desirable skills, knowledge and experience

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet
• Confidence to work in multiple programming languages - could include C, Go, Rust, Python, Lua and even PHP
• Experience (and love) for debugging to ensure the system works in all cases
• Strong systems level programming skills
• Excited by the idea of optimizing complex solutions to general problems
• Experience with a continuous integration workflow and using source control (we use git)
• Good Unix knowledge, patches to Operating Systems a huge plus for some roles
• Understanding of security issues and responsibilities
• Experience with monitoring, alerting and debugging high volume production systems
• Fluent in analyses of data sets such as logs
• Designing and building APIs
• Great oral and written communications skills
• Desire to learn and improve
• Willing and eager to share knowledge, and mentor

The Basics: 

As a Tanium Software Engineer II focused on Full-stack,  you will build and maintain best-of-breed services that power products as part of a nimble development team. Tanium focuses on a customer engagement model and feedback process to ensure our products are designed the right way from the beginning. 

What you’ll do: 

• Build and maintain Tanium's backend services alongside an agile development team 
• In partnership with our frontend and endpoint teams you will design, develop and test new product ideas from the ground up while working with product management for feedback and input 
• Work on small teams that tackle big challenges in common components like a common data service tasked with unifying and consolidating endpoint data across the entire ecosystem, handling time series data that drive dashboarding and reporting, and exposing data externally through GraphQL enabling partners (like Salesforce) to easily integrate. 
• Delivering higher level services enabled by our core services that directly enable our products. These services focus on everything from security to operations to auditing. 

We’re looking for someone with: 

Education 

• Bachelor's degree or equivalent experience
• Computer Science or relevant degree preferred 

Experience 

• 3-4+ years industry experience 
• Experience working with senior developers designing and building high-impact, high-performance, scalable, observable, and maintainable backend services and APIs 
• Knowledge of at least one of Golang (preferred), Node.js, Python, Ruby, Rust, or Java 
• Experience with HTTP API development including REST and/or GraphQL 
• Experience developing data processing pipelines for real time data 
• Experience with AWS or other cloud platforms 
• Experience with containers and microservices 
• Experience with modern software engineering development and automation tools like git and CI/CD pipelines 

Other 

• Demonstrates sound judgment for balancing between rapid development, long-term code maintainability and supportability 
• Believes in the power of and the need for writing automated tests as part of development 
• Experience debugging when things go wrong 
• Has knowledge of modern backend software frameworks and the versatility to learn new tools 

About Tanium 

Tanium, the industry’s only provider of converged endpoint management (XEM), leads the paradigm shift in legacy approaches to managing complex security and technology environments. Only Tanium protects every team, endpoint, and workflow from cyber threats by integrating IT, Operations, Security, and Risk into a single platform that delivers comprehensive visibility across devices, a unified set of controls, and a common taxonomy for a single shared purpose: to protect critical information and infrastructure at scale. Tanium has been named to the Forbes Cloud 100 list for six consecutive years and ranks on Fortune’s list of the Best Large Workplaces in Technology. In fact, more than half of the Fortune 100 and the U.S. armed forces trust Tanium to protect people; defend data; secure systems; and see and control every endpoint, team, and workflow everywhere. That’s the power of certainty. Visitwww.tanium.comand follow us onLinkedIn. 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions. 

We are an organization with stakeholders around the world, and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most. 

What you’ll get

The annual base salary range for this full-time position is C$75,000 to C$230,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training and experience.