Job description

COMPANY Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki linkedin.com, former Swift Capital Founder (acquired by PayPal in 2017 techcrunch.com). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview The Platform team owns the infrastructure Credit Genie runs on: the AWS environment, deployments, observability, and the SOC 2 and PCI-DSS controls that keep customer financial data safe. We're also building the AI infrastructure our engineers use every day. When this team does its job well, engineers ship without worrying about what's underneath them and audits find real controls instead of gaps. As a Senior Platform Infrastructure Engineer Engineer on this team, you'll own reliability and deployments across our AWS and Kubernetes environment, take real ownership of our compliance work, and help build the AI infrastructure and new product foundations we're investing in next. This is a rare chance to join a fast-growing fintech startup where your work directly protects the systems our users depend on. What You'll do: Core reliability and infrastructure - Own reliability, deployments, observability, and incident response across our AWS environment (Kubernetes/EKS, Datadog, CI/CD, networking), supporting backend, mobile, data, ML, and AI engineering teams. - Maintain, optimize, and improve our AWS infrastructure footprint to align with industry best standards and scalability requirements. - Own our infrastructure-as-code stack (Terraform/OpenTofu). Hands-on AWS CDK experience is a strong plus. - Reduce our dependence on any single vendor by favoring open standards and swappable tooling where it makes sense. Compliance - Take real, hands-on ownership of SOC 2 and PCI-DSS work. Not just documenting controls, but building and operating the systems that make them genuinely true in production. - Partner directly with our security function to close real gaps as they surface, including network segmentation and traffic inspection. CI/CD and deployments - Make deploys and rollbacks easier, more predictable, and more consistent across the org. - Consolidate and speed up CI/CD pipelines that currently span multiple tools and are evolving to support services in TypeScript/Node, Python, and Kotlin as our engineering team’s specialized use cases grow. AI infrastructure and product builds - Build and extend our internal AI infrastructure: the gateway/middleware layer, MCP integrations, the knowledge graph, and tooling that makes AI use across engineering cheaper, faster, and more accurate. - Stand up greenfield infrastructure for new products, without inheriting our existing tech debt or migration constraints. Across all of it - Share a real on-call rotation and absorb interrupt-driven support in a way that protects everyone's ability to also do focused project work. - Help us get more efficient and cost-effective as we scale, from investigation through implementation. What We're Looking For: Core, non-negotiable - Strong hands-on AWS, plus production experience with observability/monitoring (Datadog, OpenTelemetry, or similar), CI/CD, compute, and networking. - Experience managing Kubernetes clusters in multiple environments. - Experience with Terraform or comparable infrastructure-as-code tooling. - Experience at an early-stage startup where you built DevOps/infra from scratch, or at a company going through a growth stage where you had to scale it under real pressure. - Real willingness to own compliance work (SOC 2/PCI-DSS), not just support it. Strongly preferred - Experience with AI/LLM tooling, MCP, model gateways, or internal developer platforms for AI. - Prior SOC 2 and/or PCI-DSS experience, ideally with a specific control or finding you helped remediate. - Exposure to security engineering. - Experience with AWS CDK (especially TypeScript). - Experience reducing vendor lock-in or migrating between data stores at scale (for example, NoSQL to relational). BENEFITS AND PERKS Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. - 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. - Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox. - 401(k) with a 3.5% match and immediate vesting - Meal program available for both lunch and dinner - Pre-tax benefits, including a $1,000 HSA match - Life and accidental insurance - Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Requirements

Must-haves

Core reliability and infrastructure
Own reliability, deployments, observability, and incident response across our AWS environment (Kubernetes/EKS, Datadog, CI/CD, networking), supporting backend, mobile, data, ML, and AI engineering teams.
Maintain, optimize, and improve our AWS infrastructure footprint to align with industry best standards and scalability requirements.
Own our infrastructure-as-code stack (Terraform/OpenTofu). Hands-on AWS CDK experience is a strong plus.
Reduce our dependence on any single vendor by favoring open standards and swappable tooling where it makes sense.
Take real, hands-on ownership of SOC 2 and PCI-DSS work. Not just documenting controls, but building and operating the systems that make them genuinely true in production.
Partner directly with our security function to close real gaps as they surface, including network segmentation and traffic inspection.
CI/CD and deployments
Make deploys and rollbacks easier, more predictable, and more consistent across the org.
Consolidate and speed up CI/CD pipelines that currently span multiple tools and are evolving to support services in TypeScript/Node, Python, and Kotlin as our engineering team’s specialized use cases grow.
AI infrastructure and product builds
Build and extend our internal AI infrastructure: the gateway/middleware layer, MCP integrations, the knowledge graph, and tooling that makes AI use across engineering cheaper, faster, and more accurate.
Stand up greenfield infrastructure for new products, without inheriting our existing tech debt or migration constraints.
Across all of it
Share a real on-call rotation and absorb interrupt-driven support in a way that protects everyone's ability to also do focused project work.
Help us get more efficient and cost-effective as we scale, from investigation through implementation.
Core, non-negotiable
Strong hands-on AWS, plus production experience with observability/monitoring (Datadog, OpenTelemetry, or similar), CI/CD, compute, and networking.
Experience managing Kubernetes clusters in multiple environments.
Experience with Terraform or comparable infrastructure-as-code tooling.
Experience at an early-stage startup where you built DevOps/infra from scratch, or at a company going through a growth stage where you had to scale it under real pressure.
Real willingness to own compliance work (SOC 2/PCI-DSS), not just support it.
Experience with AI/LLM tooling, MCP, model gateways, or internal developer platforms for AI.

Nice-to-haves

Strongly preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

swiftawsaikubernetesci/cdmltypescriptpythonkotlinllm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Wellness