Senior Software Engineer

About the role

We're looking for a Senior Software Engineer to help architect and scale the core systems that power Nectar's platform. You'll work on the infrastructure that ingests, processes, and analyzes large volumes of social data while enabling AI agents to operate on that data in real time. This role combines deep technical execution with architectural leadership.

Responsibilities

• Architect and scale the core systems that ingest and process large volumes of social data from platforms like Instagram, TikTok, X, Reddit, and LinkedIn
• Design data pipelines that power AI agents and real-time analytics used by our customers
• Lead major technical decisions across the platform, writing design docs and establishing scalable architecture patterns
• Improve reliability, performance, and cost efficiency across our data and AI infrastructure as the platform scales
• Mentor engineers and review system designs and code to help raise the engineering bar across the team
• Work closely with product and engineering leadership to solve complex technical problems and deliver impactful systems

Requirements

• 5+ years of experience building and operating production software systems
• Strong experience designing and scaling distributed systems, data infrastructure, or complex production platforms
• Proven ability to architect systems and drive major technical decisions
• Experience mentoring engineers and influencing engineering direction
• Comfortable operating in fast-moving startup environments with high ownership and autonomy
• Strong product intuition and ability to collaborate closely with product and design teams
• Interest in AI-native engineering workflows and how AI is transforming software development

Qualifications

• Bachelor's degree in Computer Science or related field
• Experience with modern infrastructure and developer tooling such as AWS, Pulumi, Postgres, ClickHouse, or similar technologies
• Experience integrating AI or machine learning systems into production platforms

Skills

• Strong programming skills in Python, Java, or Go
• Experience with distributed systems, microservices, and cloud-native architectures
• Familiarity with data processing frameworks like Apache Kafka, Spark, or Flink
• Experience with real-time data processing and streaming systems
• Understanding of machine learning and AI concepts

Benefits

• Competitive compensation and early equity
• Health, vision, and dental benefits + 401(k) match
• Clear career growth opportunities as the company scales
• Free lunch in the heart of University Ave. in Palo Alto
• Deep exposure to cutting-edge AI tooling and the opportunity to shape how brands use it
• A collaborative, ambitious team defining a new category of AI-native marketing infrastructure

Pay

Compensation Range: $200K - $400K