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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Spark Platform - **Company:** DOORDASH, INC. - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $130,600 - $192,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Distributed Systems, Python (Programming Language), Prometheus, Software Engineering, SQL Databases, Systems Architecture, Data Logging, Autoscaling, Apache Spark, Amazon Virtual Private Cloud (VPC), Kubernetes, Information Technology, Dynatrace, Amazon Elastic Mapreduce (EMR), Databricks - **Published:** November 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-spark-platform-new-york-ny--43121ce1-46d8-4501-945b-6665636d7fff ## About the Role Software Engineering, System Architecture, Distributed Computing, Apache Spark, Schedule Development, Machine Tool, Ecosystems, Data Analysis, Autoscaling, Software Engineering, * 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. ## Description 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. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You''re excited about this opportunity because you will… * 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., 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. 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