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Agenic Data Engineering Developer
Deloitte
Lake Mary, FL
This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center…
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Full Stack Agent Platform Developer
Deloitte
Lake Mary, FL
This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center…
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Machine Learning Engineer
ADT
Boca Raton, FL
…ownership of defined components within shared MLOps, Feature Store, model-observability, AgentOps, and GenAIOps…
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Technical Writer
SAS
Cary HQ, NC
Knowledge or experience with risk analytics related to banking, insurance, and model life cycle management is a plus.
Added 1 min ago
Sr. Application Security Engineer
American Express Global Business Travel
Tallahassee, FL
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
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Associate VP, IT Procurement & Supplier Management
Humana
Tallahassee, FL
…application rationalization, labor productivity, commercial-model redesign, contractual value recovery, working capital, risk reduction and supplier…
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Sr Lead Product Manager Product Insights + Enablement
Lumen
Tallahassee, FL
Design, build, refine, and maintain AI agents that support Product Managers across the Product Management Operating Model including PRD drafting requirements analysis roadmap synthesis…
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Tester (Remote)
GovCIO
Tallahassee, FL
…non-deterministic output using measurable thresholds that separate model variance from real…
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ServiceNow Integration / Data Architect
Cognizant
Tallahassee, FL
- $100,000 to $117,000 USD / year
· Strong knowledge of the Common Service Data Model (CSDM), CMDB, identification rules, and duplicate prevention
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ServiceNow AICT Solution Architect
Cognizant
Tallahassee, FL
- $100,000 to $117,000 USD / year
Added 1 min ago
Security Engineer
Meta
Tallahassee, FL
Demonstrated knowledge of iOS or Android security model
Added 1 min ago
Data Architect
Deloitte
Jacksonville, FL
…the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on…
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Salesforce Developer
MetLife
Tampa, FL
The Sales Technology Developer is an early-career software and platform engineer who helps build, test, configure, and support Salesforce-based capabilities for the GB360 Sales scaled…
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Fraud, Waste, and Abuse Analytics and Insights Engineer III
Deloitte
Tampa, FL
The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional…
Added 1 min ago
Salesforce Life Sciences Senior Consultant
Deloitte
Tampa, FL
Supporting the design and delivery of sales and service transformation initiatives across strategy, process, technology, and operating model workstreams
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Market Risk Actuary
MetLife
Tampa, FL
RP is a proxy liability model to estimate how economic liability changes under different market environments and generate insightful data for ALM and risk management decisions. The Market…
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Senior Consultant, Forensic Investigations Accountant
Deloitte
Tampa, FL
The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional…
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Senior Java Developer - Vice President
Citigroup
Tampa, FL
…processes and manages data at scale, within a hybrid working model that balances collaboration and…
Added 1 min ago
Technical Campaign Manager
Careers – Cheil North America
Plano, TX
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Client Service Account Manager - Vice President
JPMorgan Chase
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…advancing digital and AI-enabled capabilities across the service…
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Data Scientist II (Mid Level) - Pricing and Product Analytics
USAA
Tampa, FL
…library of internal packages and applications and work with model risk management to validate the results and stability of models before being pushed to production at…
Added 1 min ago
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Systems Engineer
Butler America
Orlando, FL
- $85 to $100 USD / hour
Added 1 min ago
BA
Systems Engineer
Butler America
Orlando, FL
- $70 to $85 USD / hour
Added 2 mins ago
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Product Growth
OpenAI
San Francisco, CA · New York, NY
- $239,000 to $325,000 USD / year
…Engineering, including choosing useful signals, evaluating model quality, and testing the impact of targeted…
Added 2 mins ago
Lead Forward Deployed Engineer, Palantir
Deloitte
Miami, FL · Tampa, FL · Jacksonville, FL
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation

EarnIn

Senior Platform Engineer

Mountain View, CA, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

Hiring Manager: Joe

Recruiter: Andy

Level: I4

POSITION SUMMARY

We are the Platform-as-a-Service Engineering team at EarnIn. We build the foundational "Paved Road" that enables our product teams to ship with velocity and safety. Our stack is built on AWS, EKS, and ArgoCD, but our future is Agentic. We are shifting from manual configuration to AI-augmented orchestration, where the platform anticipates developer needs and self-heals through intelligent automation.

We're seeking a Senior Platform Engineer (I4) to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and our developer portal (Cortex), building AI agents and automation that reduce operational toil and increase platform leverage for engineering teams across EarnIn. As a Senior engineer, you independently design and implement solutions to well-scoped but complex problems, re-architect components, adopt new technologies, and improve existing processes with minimal guidance. You'll build agents that handle real slices of incident triage, environment provisioning, config generation, and developer self-service, and you'll partner with Staff engineers and your manager to align your work with the team's broader technical direction.

The base salary range for this full-time position is $228,000-$279,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

Applicants must be currently authorized to work in the United States. We are able to support H-1B and O-1 employer transfers but are NOT able to provide new visa sponsorship or consider candidates working pursuant to OPT or CPT for this position

WHAT YOU'LL DO

AI-Agent Design and Build: Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety. Contribute to infrastructure-as-code practices for agentic systems, ensuring prompts, tools, and evaluation criteria are versioned, reviewed, and tested like any other critical component.
Technical Execution: Implement agentic patterns for cloud infrastructure in your area of ownership, applying and helping refine team best practices for production AI agents. Support and mentor less experienced engineers on agentic patterns, LLM integration, and prompt engineering as opportunities arise.
Platform Operations: Operate and improve high-availability distributed systems on AWS, identifying and resolving performance, scalability, and stability issues within your domain. Use AI-driven observability and anomaly detection to catch problems early. Evolve infrastructure-as-code and automation standards for the services you own, incorporating agentic pattern recognition and automated remediation where it adds value.
Developer Platform: Contribute to the evolution of our developer control plane (Cortex) as an AI-augmented self-service platform, building features that let engineers scaffold services, debug deployments, and resolve issues through natural language. Help encode platform standards and security policies into AI-powered golden paths.
Reliability and Documentation: Document agentic architecture, best practices, and operational procedures for the systems you build. Participate in on-call rotations, and use post-mortems as a feedback loop to improve system reliability and your team's agentic automation.

WHAT WE'RE LOOKING FOR

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
4+ years in cloud infrastructure, working on large-scale, high-availability, customer-facing distributed systems.
Experience mentoring junior engineers and leading well-scoped platform initiatives within your team.
Hands-on experience building and operating AI-driven systems in production, including agentic workflows that perform operational tasks. You should be able to speak to specific agent designs or automation you've built.
Experience reducing operational toil through agentic AI (e.g., LLM-powered incident diagnosis, intelligent CI/CD with test selection, self-service assistants) on at least one meaningful workflow.
Strong working knowledge of AWS (EKS, Lambda, Bedrock, etc.) and experience with containerized and serverless architectures.
Solid expertise in Kubernetes at scale and ability to implement complex, resilient solutions with guidance from senior/staff engineers.
Strong knowledge of infrastructure-as-code tools (Terraform, Ansible) and experience applying both traditional IaC and agentic automation.
Strong command of Datadog and observability practices, using metrics to drive decisions. Experience building AI-driven alerting or root-cause analysis systems is a plus.
Strong adherence to security, privacy, and compliance best practices, with awareness of governance considerations for production AI systems (model safety, prompt injection prevention, data isolation).
Experience with LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, or custom agentic architectures) and production prompt engineering.
Strong coding ability in Python and/or Go, with experience treating infrastructure and agentic systems as software.
Ability to collaborate effectively across engineering, product, and security teams on cross-functional work.
Experience with service mesh (Linkerd, Istio) and traffic management at scale is a plus.
Proficiency with GitOps (Argo CD, Flux CD) and CI/CD orchestration (GitHub Actions, Argo Workflows) is a plus.
Experience with MLOps or LLMOps concepts (model versioning, evaluation frameworks, production monitoring for AI systems) is a plus.
Familiarity with security frameworks relevant to AI systems (guardrails, audit logging, data governance for LLMs) is a plus.

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

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More about this job

Skills

AWS
Kubernetes
CI/CD
GitHub
CPT
Infrastructure as code
Documentation
Computer science
Coaching
Workflow
IBM Terraform
Ansible
Datadog
Root cause analysis
LangChain
Python
Go
Recruitment

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