Fluency

Principal Software Engineer, DSP Integrations

Remote; United States · Principal · Full-time

Sponsorship not specified$160k-$184kDetected 42 days ago

JavaSpringDistributed SystemsMySQLAWSCloud PlatformsAPI DevelopmentGraphQLRESTKafkaMachine LearningLLMsBudgetingSignal ProcessingCommunication

About the role

The Principal Software Engineer, DSP Integrations is a full-time remote role with an optional office in Burlington, VT.
Architect Fluency's integrations with major Demand-Side Platforms (currently TTD, Amazon DSP, and Basis; expanding over time).

The DSP Integrations team does not build a DSP.
As the Principal Engineer on this team, you will be the senior technical voice on integration architecture, partner API design, and the encoding of each DSP's distinctive operational semantics into Fluency's platform.
Design and own partner API integrations (REST and GraphQL), including authentication, rate limits, retries, idempotency, reporting feeds, and webhook patterns.
Implement cross-DSP capabilities including blueprint integration, reverse sync and forward mutate patterns, and object authority models.
Partner with DSPs at the engineering level, collaborating with partner-side technical contacts to unblock integration work.
Set technical direction and quality standards through architectural decisions, code, and design reviews, exercising influence rather than formal authority.
8+ years of software development experience, with a heavy focus on backend architecture and integration design.

Practical understanding of DSP operational differences (budgeting, pacing, targeting, bid strategies, reporting), with a track record of encoding those differences correctly in integration logic.
Proven proficiency with Java and Spring Boot, including event-driven services (e.g., Kafka).
Knowledge of cloud infrastructure (AWS) and experience with distributed systems operating at high data volume.

Architect Fluency's integrations with major Demand-Side Platforms (currently TTD, Amazon DSP, and Basis
expanding over time).
Direct experience integrating with major DSPs as a consumer of their APIs (TTD, Amazon DSP, Basis, MSFT DSP, Yahoo DSP, StackAdapt, or equivalents).
Hands-on knowledge of more than one is strongly preferred.

This is a full-time, remote position that requires legal authorization to work in the U.S. Starting pay range is $160,000–$184,000 and is determined by job-related skills, experience, and knowledge.

Passion for iterative development and continuous learning.
Medical, dental and vision coverage for employees and their families
Four weeks of Combined Time Off (CTO), flexible schedule and and twelve holidays
Maternity and parental leave
Employee wellness programs and mental health support
Remote work flexibility and home office stipends

the scaling of digital ad operations, and fostering a workplace environment rooted in open communication, inclusivity, and a growth-oriented mindset.
These passions not only set us apart in the industry, but also fuel our collective drive to reshape the industry and reinvent ourselves along the way.
We're not just revolutionizing the digital advertising horizon, we're shaping an organization where every member feels a sense of pride and is inspired to do their best work.
The Fluency Engineering Team is detail-oriented and extraordinarily passionate about digital advertising.
We blend the art and science of advertising into simple and scalable solutions to complex problems, and deliver leading-edge software products to our customers.
Our culture is rooted in open communication, inclusivity, and a growth-oriented mindset as we reshape the digital advertising horizon.
Fluency operates at the scale of $3B+ in annualized media spend across more than 250,000 campaigns per month.
The DSP Integrations team is responsible for the technical relationship between Fluency's automation platform and the major
Company Overview
Team Overview
We build the integration layer between Fluency's automation platform and the DSPs our customers use.

This listing is sourced directly from Fluency's careers page and normalized into a canonical job model.