Senior Backend Engineer
Senior Backend Engineer
Posted 9 days ago
SENIORITY
Lead
About the role
- Design, build, and scale large-scale data pipelines supporting latency-critical analytical workloads
- Build secure, reliable, and highly scalable backend systems on modern cloud infrastructure
- Work across the entire codebase and product rather than within a single engineering silo
- Collaborate directly with founders, product leaders, engineers, and customers to define product direction and technical priorities
- Design backend services that support AI-powered analytics and business intelligence experiences
- Optimize system performance, scalability, reliability, and infrastructure efficiency
- Own projects from architecture and implementation through production deployment and ongoing improvement
- Help establish engineering best practices, technical standards, and the long-term technology stack
- Contribute to building a high-performing engineering culture as an early member of the team
- 4+ years of professional backend software engineering experience
- Strong experience designing and building scalable backend systems
- Experience building high-performance data pipelines or distributed systems
- Strong understanding of cloud infrastructure and modern backend architecture
- Experience designing secure, reliable, and cost-efficient production systems
- Ability to thrive in a fast-paced startup environment with high ownership and ambiguity
- Strong collaboration skills and comfort working directly with founders, customers, and cross-functional teams
- Passion for building products from the ground up and influencing technical direction
- Excellent problem-solving skills and strong engineering fundamentals
- Bonus Experience
- Experience building AI-native products or data platforms
- Experience with business intelligence, analytics platforms, or large-scale data infrastructure
- Experience with distributed systems and low-latency data processing
- Experience working as a founding or early-stage engineer
- Experience designing cloud-native architectures on AWS, GCP, or Azure
- Experience working closely with enterprise customers to shape product direction
- Why This Opportunity
- Join a founding engineering team building a category-defining AI-native analytics platform
- Work directly with founders on product strategy, architecture, and engineering decisions
- Build scalable systems that power next-generation business intelligence
- Own projects end-to-end in a high-autonomy environment
- Help define the engineering culture, architecture, and technical roadmap from the earliest stages
- Collaborate directly with customers to solve meaningful business problems
- Build at the intersection of AI, large-scale data systems, and enterprise software
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
