Software Engineer II - Data Workflow

The Trade Desk•San Francisco, CA

10d

About The Position

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally. What we do Our Software Engineers are end-to-end owners who have the opportunity to participate in many aspects of designing, building, and delivering data-focused products for our stakeholders. At The Trade Desk, we believe in building the back-end infrastructure of our platform with a focus on quality at scale. This means whether we are building parts of our client-facing applications, internal custom solutions for our own team members, or model pipelines for bidding optimizations, we are making sure that we have infrastructure, development, and tools to do it right and efficiently. Our system performs all day, every day serving global traffic. We build a distributed system in a highly collaborative environment, utilizing a broad range of technologies. Our back-end developers work on finding solutions to algorithmic, optimization and scale challenges in everything we do. About the role: The Trade Desk Software Engineers are best described as end-to-end owners. You will participate actively in all aspects of product strategy – from designing, building, and delivering products for our clients. We have dozens of individual, mission-focused teams working across a wide spectrum of technological challenges. You will have the opportunity, depending on your interests and aptitude, to lead engineers that focus on building large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces – to name a few. Software Engineers contribute to more than our product – they help build up our team. Through a combination of mentoring and technical leadership of local teams, you will make others better and raise the bar for those around you. We are a global team with different backgrounds, experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity. Who you are: Our culture is much deeper than just having fun together (though, we do that well too...). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role: Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.

Requirements

The ideal candidate will have 2 to 5 years of impactful hands-on software engineering experience
You are a strong communicator. You’re able to collaborate cross functionally with data scientists and root cause pain points in their workflow.
You have a passion for improving the efficiency of others. The work you will do in Machine Learning Operations will have a big impact on both the data scientists and the data engineers in our organization.
You have a Bachelor’s/Master’s level degree in a computer-science or relevant engineering related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.
You think beyond just the task at hand to deeply understand the 'why' behind what you & your team are doing.
You are a driver.
You understand engineering fundamentals. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work.
You are able to work from first principles to evaluate solutions and adapt them to a unique environment.
You are a broadly skilled engineer, accustomed to developing web services.
You have experience building always-on systems, working across a variety of technologies and service layers.
You have a product-focused mindset.
You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.
You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work.
You have strongly-held, defensible ideas, and advocate for what you believe is right.
You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates.
You value, seek out, and foster diversity.

Nice To Haves

Experience building large scale data pipelines with spark is a plus.
Experience building machine learning models is a plus.

Responsibilities

You will participate actively in all aspects of product strategy – from designing, building, and delivering products for our clients.
Through a combination of mentoring and technical leadership of local teams, you will make others better and raise the bar for those around you.
You will own technical milestones and projects in a ground-breaking and fast-paced environment, driving them from inception till completion. This includes task planning, individual code contribution, and code reviews.

Benefits

comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
retirement benefits such as a 401k plan and company match
short and long-term disability coverage
basic life insurance
well-being benefits
reimbursement for certain tuition expenses
parental leave
sick time of 1 hour per 30 hours worked
vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter
around 13 paid holidays per year
Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan