Staff Infrastructure Engineer
Company websitekikoff.com (Kikoff, opens in new tab)
Base salary $307K to $352K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Kikoff: The Fintech Powering Financial Security at Scale
Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money.
We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially.
Why Kikoff:
This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.
About the Role
Kikoff's infrastructure team builds the systems that enable engineering teams to move quickly without sacrificing reliability, security, or cost discipline. The team owns five connected areas: Observability, Developer Productivity, Compute Infrastructure, Networking and Storage, and Data Infrastructure.
As a Staff Infrastructure Engineer, you will own high-leverage infrastructure problems from design through production operation and help run infrastructure as a product for Kikoff engineers. You will build internal products and paved paths that turn ambiguous problems into durable systems. Your work should improve delivery speed and reliability, reduce cost, and reduce the amount of operational work product teams carry.
This is a hands-on Staff IC role. You will foster relationships, write code, review designs, make architecture decisions, lead through incidents, and help engineers solve problems outside the runbook. You will have a primary area of depth and enough range to follow production problems across infrastructure boundaries.
AI is increasing the amount of code and change moving through our systems. You will help build a platform that can absorb that growth without creating more incidents, unsustainable cost, or a team that depends on heroics.
In This Role, You Will
Build and Own Critical Platform Systems
- Design and implement self-service infrastructure on AWS using reusable code and infrastructure-as-code patterns. We use Pulumi, HCL, and TypeScript heavily. The company runs on Ruby.
- Own the systems you build in production, including reliability, security, capacity, cost, upgrades, incidents, and recovery.
- Give critical services an SLO, actionable alerts, a useful dashboard, a runbook, and a tested recovery path.
- Automate recurring operational work and eliminate failure-prone manual steps rather than allowing them to become permanent processes.
Run Infrastructure as a Product
- Work directly with engineers to turn recurring friction into paved paths, self-service tools, and automated workflows that are faster and safer than one-off solutions.
- Measure outcomes for internal customers through adoption, developer feedback, delivery speed, reliability, cost, toil, and on-call load.
- Use the fastest responsible path when a team is blocked, then turn recurring friction into automation or a durable platform capability.
Set Technical Direction
- Set technical direction for ambiguous infrastructure work, then carry it from problem framing and design through implementation, rollout, and production ownership.
- Make clear trade-offs among delivery speed, reliability, security, cost, and long-term operational complexity.
- Partner across Infrastructure, Security, Data, and Product Engineering to build security and compliance controls into normal engineering workflows.
Raise the Engineering Bar
- Review code and designs, challenge weak assumptions, help other engineers make better technical decisions, and uphold high standards for reliability, testing, safe deployments, security, and maintainability.
- Lead through incidents and unfamiliar failure modes, and ensure the system is better after service is restored.
- Create standards, reusable patterns, and durable documentation that improve how teams build, deploy, observe, and operate software.
You Have
- 7+ years of infrastructure, platform, or software engineering experience, or an equivalent record of Staff-level technical impact.
- Sustained ownership of a consequential production system. You have operated what you built, handled incidents and unfamiliar failure modes, and improved the system afterward.
- Strong coding skills in TypeScript, Python, Go, Ruby, or a similar language. You can build production software, not only configure tools.
- Production experience with AWS, infrastructure as code, containers, CI/CD, observability, and the security boundaries around them.
- Experienced generalist judgment. You have depth in at least one infrastructure domain and can learn quickly across adjacent ones.
- A track record of building platform capabilities that engineers adopted because they solved real problems and were easier to use than one-off alternatives.
- Clear, direct communication. You can explain a technical decision, its evidence, and its tradeoffs to engineers and non-technical partners.
Nice to Have
- Deep experience in one or more of observability, developer productivity, cloud compute, networking, storage, data infrastructure, or security.
- Experience with Pulumi and TypeScript on AWS, including ECS or Fargate, k8s, RDS, S3, Lambda, VPC, and IAM.
- Experience building and operating an early-stage platform through rapid growth in fintech or another regulated environment.
What We're Like
Scrappy. We move quickly and build what we need. We do not cut corners when they matter, and we do not over-engineer when they do not.
Risk-oriented. We make tradeoffs deliberately. A mature team knows the difference between a risk worth taking and one that is not.
Data-obsessed. We look at the data, understand the mechanics behind it, and use that evidence to make better decisions.
Humble. We know the company has benefited from timing, circumstance, and the right people showing up. We are grateful, and we do not take it for granted.
Base Range
$307,000—$352,000 USD
A note on applying: We know great candidates sometimes hold back if they don’t meet every qualification listed. If you’re excited about this role and believe you can do the work, we encourage you to apply. We’re looking for capability and trajectory, not a perfect checklist match.
Equal Employment Opportunity Statement
Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Please reference the following for more information.
Source: Kikoff on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($307,000) is above 97% of the 4,298 Software Engineering roles in California listed on this site; 1 other lists the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $202,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingStaff Infrastructure Engineer$307K to $352K
Engineering Manager, Infrastructure$307K to $352K
Staff Engineer - Web Applications$307K to $352K
Staff Machine Learning Engineer$336K to $392K
Senior Security Engineer, Data Security$268K to $321K
Staff Data Scientist, Grant$265K to $306K
Senior Machine Learning Engineer$257K to $312K
Chart as a table
| Role | Published base |
|---|---|
| Staff Infrastructure Engineer (this listing) | $307K - $352K |
| Engineering Manager, Infrastructure | $307K - $352K |
| Staff Engineer - Web Applications | $307K - $352K |
| Staff Machine Learning Engineer | $336K - $392K |
| Senior Security Engineer, Data Security | $268K - $321K |
| Staff Data Scientist, Grant | $265K - $306K |
| Senior Machine Learning Engineer | $257K - $312K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-13
Where this pay comes from
Location as the employer wrote it: San Francisco
$307,000—$352,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
