StackAdaptRemote
Staff II Software Engineer, Data Ingestion
United States of America
Full Time
1 week ago
H1B Sponsor Likely
Key skills
Distributed SystemsBackend ServicesKafkaStreaming SystemsScalabilityPerformance OptimizationReliability EngineeringGolangTiDBAerospikeVitessKubernetesEvent-Driven ArchitecturesAdTechAnalytics SystemsAIMLAnalyticsLeadershipCommunicationCollaboration
About this role
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. They are seeking a Staff II Software Engineer for their Data Ingestion Team to lead technical initiatives and improve the infrastructure that handles high-volume event processing and data flows across the company.
Responsibilities:
- Own and lead large technical initiatives end-to-end, from design through production and monitoring
- Provide technical leadership and mentorship to engineers across the team
- Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
- Contribute hands-on as needed while enabling the team to execute effectively
- Build and maintain event ingestion pipelines using streaming technologies like Kafka
- Work with high-volume storage systems and databases to persist and serve data efficiently
- Partner with Data, ML, Product, and Platform teams to support evolving requirements
- Improve code quality, testing practices, system reliability, and observability
- Participate in design reviews, code reviews, and architectural discussions
- Balance and prioritize projects to maximize impact and align with company objectives
Requirements:
- Extensive experience building distributed systems and high-throughput backend services
- Proven ability to lead technical direction and drive large, cross-team initiatives
- Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
- Collaborative mindset with the ability to influence across teams
- Ability to think strategically, lead technically, and drive high-impact, scalable solutions
- Hands-on experience with streaming systems (Kafka or similar)
- Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
- Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
- Familiarity with AdTech, event-driven architectures, or analytics systems