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About the Role

As a Software Engineer on Spark Platform, you will execute across the surfaces of our in-house Spark deployment that serves the entire company. The work spans Spark runtime upgrades and performance, multi-tenant scheduling and executor bin-packing on Kubernetes, cluster lifecycle automation, and the observability and incident automation that keep the platform sustainable. You will move between layers as the work demands — picking up the next high-leverage problem regardless of where it sits — and partner closely with the rest of the team and with platform consumers across the company.

Responsibilities

Build and operate an in-house Spark platform that runs at company-wide scale, spanning runtime, scheduler, reliability, and user-facing tooling.
Drive multi-tenant scheduling, executor bin-packing, and cost-aware placement that let a small team serve dozens of consumer teams.
Own pieces of cluster lifecycle automation — provisioning, upgrades, capacity changes, and node-failure handling — at a scale where these stop being manual events.
Build the observability and incident automation that make the platform debuggable end-to-end and keep on-call sustainable as the team and the workload grow.
Partner with senior engineers on shuffle, runtime, and architecture work, and grow into deeper ownership of those areas over time.

Requirements

B.S., M.S., or PhD in Computer Science or equivalent.
2+ years of industry experience operating production distributed systems.
Experience operating Apache Spark at scale on Amazon EMR, Databricks, or an in-house deployment — with a focus on platform operations (runtime upgrades, cluster lifecycle, shuffle, observability, multi-tenant scheduling) rather than authoring individual Spark jobs.
Hands-on experience operating production systems on Kubernetes — controllers, operators, custom resources, and the failure modes that show up in multi-tenant clusters.
Familiarity with batch or big-data schedulers (YuniKorn, Volcano, Kueue, or equivalent) and/or with the Spark-on-Kubernetes operator.
Familiarity with observability stacks (Prometheus, OpenTelemetry, distributed tracing, structured logging) and with defining SLOs and SLIs that change team behavior.
Comfort working in a cloud environment (AWS preferred) — VPC networking, instance lifecycle, spot/preemptible markets, and autoscaling primitives.
Professional experience with Python, Go, Scala, or Java; SQL fluency.
A bias toward incremental rollout, measurement, and reducing toil.
You are located or willing to relocate to the Bay Area, Seattle, or NYC.

Skills

Apache Spark
Kubernetes
Python
Go
Scala
Java
SQL

Location

San Francisco
Sunnyvale
Seattle
New York City

Work Type

Hybrid

Experience Level

2+ years of industry experience operating production distributed systems

Education Level

B.S., M.S., or PhD in Computer Science or equivalent

Salary/Compensations

$130,600—$192,000 USD

Benefits

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave
Medical benefits
Dental benefits
Vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program
Flexible paid time off/vacation (for salaried roles)
80 hours of paid sick time per year (for salaried roles)

About the Company

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Equal Opportunity

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.