Senior Backend Engineer - Platform Experience
MuxSalary not specified
Full Time
Senior (5 to 8 years)
$180,000 – $260,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, AI, TechnologyIndustries
Requirements
- 5+ years of software engineer experience with a focus on platform, backend system, data infrastructure, or distributed computing
- Experience with some of the technologies we use, e.g., Redis, Postgres, ScyllaDB, ClickHouse, Kafka, gRPC, REST, WebSocket, and S3
- Experience in AWS and Terraform, or other IAC (Infrastructure as code) solutions
- Write high-quality production code using Node.js, Golang, or an equivalent backend language
- Excellent written and verbal communication skills
- Quick learner, good team player
- Experience with low-latency high-volume data stores and platforms is a big plus
Responsibilities
- Enabling customer insights via implementing and optimizing features that power our event-based targeting systems
- Provide technical leadership on projects, guiding the team through key decisions and ensuring best practices are followed
- Collaborating with product managers, AI engineers, and product engineers to facilitate the integration of backend systems with other components of the platform
- Staying ahead of the latest technologies and integrating them into our systems to keep Sprig at the cutting edge of product research solutions
- Driving data integrity and security by managing and maintaining databases
- Enhancing platform scalability and performance by designing and developing robust backend systems
- Work closely with cross-functional teams to design, build, and maintain features and the infrastructure that powers our innovative product research solutions
Skills
Backend Engineering
System Architecture
Data Ingestion
Data Processing
Data Storage
Scalability
Performance Optimization
Event-based Systems
Sprig
Product experience insights platform for companies
About Sprig
Sprig provides a platform for gathering user experience insights to help companies improve their products. It allows teams to collect both numerical and descriptive data about how users interact with their products, which aids in making informed decisions. The platform operates on a subscription basis, offering tools for analyzing user journeys, capturing feedback on designs, and utilizing AI to summarize behavior data and highlight important product insights. Sprig stands out from competitors by seamlessly integrating with other tools and providing advanced analytics that enable quick actions based on user feedback. The goal of Sprig is to empower businesses to enhance their products and prioritize customer experience.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$85.6MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
51-200Employees
Risks
Emerging competitors offer similar AI insights at lower costs, threatening market share.
Over-reliance on AI may overlook nuanced feedback needing human interpretation.
Economic downturns could reduce tech companies' spending on SaaS tools.
Differentiation
Sprig offers AI-driven insights for rapid and rich user feedback.
Seamless integration with popular tools enhances Sprig's usability and workflow.
Sprig's SaaS model provides continuous value and a steady revenue stream.
Upsides
Growing demand for remote usability testing expands Sprig's market reach.
AI-driven analytics align with industry trends for deeper product insights.
Rising importance of customer experience metrics boosts Sprig's tool value.
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