Join Typeface as a Senior Software Engineer to build innovative web applications and cloud services leveraging generative AI.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 9 hours ago
Joblaze summary
In the role of Senior Software Engineer at Typeface, the individual will focus on end-to-end feature development, collaborating with various teams to create innovative web applications and cloud services. Key skills include extensive backend development experience, proficiency with AI tools, and familiarity with major cloud platforms and database systems. This position is ideal for seasoned engineers with a background in high-growth startups, looking to contribute to a company recognized for its innovative approach to marketing technology.
Quick facts
- Is the Staff Platform/Backend Engineer role remote?
- It's hybrid — Typeface expects some on-site time in Palo Alto, CA .
- What's the salary range?
- Typeface lists $188,000–$200,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Staff Platform/Backend Engineer role.
- Where is the role based?
- Typeface is hiring for this position in Palo Alto, CA .
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, AWS SNS, Azure, Azure EventHub, GCP, Kafka.
- What seniority level is this role?
- Typeface targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Platform/Backend Engineer role at Typeface.
From the original posting
About Typeface
We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
What You'll Do
We're looking for a Senior Platform/Backend Engineer to build and scale the foundational systems that power our platform. You'll architect and deliver the backend infrastructure that enables enterprise marketers to turn ideas into fully personalized campaigns — fast, reliable, and secure.
This is your chance to shape the backbone of an AI-native platform — designing distributed systems and services that make creativity at scale possible.
How You'll Make an Impact:
- Design, build, and operate distributed backend systems and scalable APIs that serve as the foundation of our platform
- Architect and evolve infrastructure to support AI/LLM workloads — including model serving, orchestration, and data pipelines
- Drive reliability, performance, and security across production services, ensuring enterprise-grade uptime and data protection
- Own cloud infrastructure decisions and implement best practices for deployment, observability, and incident response
- Collaborate closely with Product, Engineering, and AI/ML partners to translate product requirements into robust technical solutions
- Identify and resolve bottlenecks across the stack, optimizing for latency, throughput, and cost efficiency
- Mentor and support junior engineers, fostering a culture of technical excellence and knowledge sharing
What You Bring:
- 10+ years of backend or platform engineering experience, with a strong track record of designing and shipping scalable, production-grade systems
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Deep expertise in at least one backend language (e.g., Python, Go, Java, Rust) and experience with cloud platforms (AWS, GCP, or Azure)
- Strong understanding of distributed systems, microservices architecture, and API design
- Experience with containerization and orchestration tools (Docker, Kubernetes)
- Solid grasp of database technologies — both relational and NoSQL — and data modeling at scale
- Excellent communication skills and the ability to thrive independently and in collaborative teams
- Experience building for B2B or enterprise SaaS products
- Bonus: Hands-on experience with AI/ML infrastructure, LLM serving, or generative AI systems
Location
This is a hybrid role based in Palo Alto, CA. We collaborate in-office 3 days a week.
Base Salary
The range for this role is $210,000-$240,000 plus equity. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
Benefits
Why You’ll Love Working Here
Standard company text repeated across Typeface's postings is omitted here.