Fintech, Payments and Insurtech Technology Recruiters
No postings. No stacks of resumes. No chasing. You interview a short list.
No upfront fee. You pay only if you hire.
Need someone now? Call 305-306-4829.
This is what we do all day: recruit technology and IT professionals.
Hire technology specialists who understand Fintech, Payments and Insurtech operations and constraints.
No upfront fee. You pay only if you hire.
No upfront fee. You pay only if you hire. We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
- No upfront fee
- Pay only if you hire
- Technology only
- We reach engineers who aren't on job boards
- Replacement guarantee on standard searches
Need someone now? Call 305-306-4829.
Titles we fill
- Fintech, Payments and Insurtech
Before a fintech search starts, we ask what the hire will own. A card-payment service, a reconciliation pipeline and an insurance policy system need different experience. Tell us whether the person will write money-moving code, support a ledger or manage the team that does. We screen against that work, not a broad financial-services title. Someone who built a dashboard on payment data has not necessarily owned settlement or handled a failed transaction in production.
For a payments engineer, we ask how they handle retries, duplicate messages and reconciliation after an outage. We discuss the boundary between a transactional database and an event stream. The candidate should explain what can fail and how the team knows the records agree. Where PCI DSS or bank-partner controls apply, we check the person's actual responsibility for those controls. Listing compliance terms on a resume is not evidence that they have worked through an audit.
What we screen for
Ledger System Design
An insurance technology search starts with different questions. Which parts of underwriting, rating or claims does the system support? Who defines the business rules, and how are changes tested before they affect a policy? For data and risk roles, we separate model development from production ownership and governance. We also ask about the offer and working arrangement before outreach. Good candidates need a reason to leave, and the technical problem alone may not be enough.
PCI DSS Compliance
Adherence to PCI DSS standards is mandatory for anyone involved in payment processing architecture. We evaluate the candidate familiarity with encryption at rest and in transit, tokenization strategies, and secure network segmentation. Candidates must understand how to maintain compliance while iterating on product features, ensuring that security controls evolve alongside the software without compromising the speed of delivery or service.
Regulatory Integration Expertise
Successfully integrating KYC and AML protocols requires deep understanding of both technology and financial legal frameworks. We look for individuals who have designed automated verification workflows that balance user experience with required compliance checks. The candidate should demonstrate experience in building modular systems that can adapt to varying international regulatory requirements without necessitating a complete rewrite of the underlying payment.
Payment Gateway Infrastructure
Candidates must have hands-on experience integrating with major card networks and bank APIs. We screen for a deep understanding of asynchronous processing, handling webhook events, and managing the latency associated with cross-border payments. The ideal candidate will have worked on building fault-tolerant integrations that gracefully handle service outages from external providers while maintaining a coordinated experience for end customers in transit.
Fraud Prevention Systems
reliable fraud detection is critical for maintaining platform integrity in difficult payment environments. We test for the ability to implement real-time scoring engines and machine learning models that identify suspicious transaction patterns. Candidates should explain their approach to balancing false positives with effective security, demonstrating a nuanced understanding of how to protect the system against sophisticated threats while minimizing friction.
High Availability Transactions
We focus on engineers who prioritize extreme system availability for time-sensitive financial transactions. We evaluate their knowledge of database replication, disaster recovery planning, and automated failover strategies designed to maintain transaction processing continuity. The candidate must provide examples of how they managed system performance during periods of massive transaction volume while ensuring zero data loss during critical infrastructure maintenance or failures.
Fintech development demands a heightened focus on transactional correctness because the code directly governs the movement of capital. We identify engineering talent that treats financial ledger accuracy as a fundamental architectural requirement rather than a secondary concern. Hiring managers in this sector need individuals who prioritize stability and systemic auditability over rapid iteration.
Payment companies and banking platforms face intense regulatory scrutiny that dictates how their engineering teams must structure data flows. When evaluating candidates, we scrutinize their track record with strict financial controls and error handling. Engineers accustomed to loose data models often struggle to adapt to the rigorous demands of modern banking software.
The backbone of any fintech platform lies in its payment processing and ledger management systems. We search for developers who understand double-entry accounting principles implemented through reliable code. These engineers must ensure that every transaction is traceable, atomic, and idempotent, preventing costly discrepancies that arise from distributed system failures during high-volume processing cycles.
Working on ledger architecture requires deep experience with consistency models in database design. We assess candidates on their ability to build systems that handle race conditions in financial operations effectively. A candidate who lacks experience with ledger integrity often overlooks the critical edge cases that cause significant operational headaches in production environments.
Fraud detection systems serve as the primary line of defense for wealth technology firms and digital lenders. We look for engineers who possess a solid grasp of pattern recognition and real-time decisioning engines. These professionals must build systems that can identify anomalous behavior instantly without introducing excessive latency into the user checkout experience.
The engineering challenge here involves balancing legitimate user accessibility with strict security protocols. We screen for developers who understand how to tune risk parameters while minimizing false positives. A common red flag is a candidate who treats security as an afterthought rather than a core component of the initial system design process.
KYC and identity verification represent the legal perimeter for financial applications. We examine candidates on their history of integrating third-party identity APIs while maintaining strict data isolation. Compliance tooling requires a unique mix of software engineering and legal awareness, ensuring that sensitive user data is handled according to global financial mandates.
Building reliable compliance software necessitates a design that adapts to evolving international regulations. We look for technical talent capable of creating modular systems that allow for rapid policy updates. Candidates who lack experience in regulated industries often fail to appreciate why documentation and audit logs are as important as the code.
Reconciliation systems ensure that internal accounts match external banking records daily. We prioritize engineers who know how to automate these complex loops and handle discrepancies gracefully. These individuals build the safety nets that prevent financial loss, serving as a critical infrastructure layer for any high-growth fintech startup or large-scale legacy banking platform.
Our vetting process focuses on how developers handle asynchronous data ingestion from disparate financial partners. A developer must be comfortable work through messy data sources and converting them into a unified ledger format. We disqualify those who cannot explain the mechanics of batch reconciliation and its impact on overall platform availability and trust.
When interviewing candidates for fintech roles, we focus on their experience with system reliability during high-stress market events. We test for technical depth by asking about their approach to deadlocks in distributed transactions. It is vital to see how they handle recovery scenarios after a partial system failure, ensuring funds are never lost in transit.
We look for candidates who provide clear examples of building resilient infrastructure instead of merely consuming high-level services. A red flag for us is someone who cannot articulate the trade-offs between availability and consistency in a financial context. Genuine fintech experts prioritize data integrity above all else during the design phase of development.
Our contingency model allows us to focus exclusively on finding engineers who thrive in the difficult fintech environment. We do not manage contract staff, allowing us to dedicate our time to identifying permanent talent that matches your specific technical stack. Fees only apply when we successfully place a candidate, ensuring our goals align directly with yours.
We believe that successful hiring in fintech relies on finding engineers who understand the financial impact of their code. We bypass generalized recruitment tactics to focus on technical competency and industry-specific experience. Our search strategy targets professionals currently working in similar payment and banking platforms to ensure a shorter onboarding cycle for your team.
Where we find them
We source our candidates from high-performing teams within global payment processors and established banking technology firms. These individuals have work through the unique pressures of building infrastructure that must function perfectly under intense regulatory scrutiny. Our recruitment efforts target professionals who have successfully bridged the gap between legacy core banking systems and the modern cloud-native architectures defining the future of fintech.
We also recruit from the insurtech sector where individuals have specialized in complex risk modeling and automated claims processing systems. These professionals bring essential skills in managing data-heavy applications that demand both high performance and extreme precision. By engaging those who have operated at the intersection of finance and technology, we secure individuals with deep sector knowledge and technical.
Technology roles we fill here
- Backend Engineer
- Frontend Engineer
- Full Stack Engineer
- Founding Engineer
- Software Architect
- Low-Latency / Trading Systems Developer
- CTO
- VP of Engineering
- Director of Engineering
- Engineering Manager
- Staff and Principal Engineer
- Enterprise Architect
- Data Engineer
- Analytics Engineer
- Data Architect
- BI Developer
- Database Administrator
- Chief Data Officer / Head of Data
- Machine Learning Engineer
- AI Engineer
- MLOps Engineer
- Data Scientist
- Research Scientist / Applied Scientist
- Computer Vision Engineer
- Quantitative Developer / Researcher
- Head of AI
- DevOps Engineer
- Site Reliability Engineer
- Platform Engineer
- Cloud Engineer
- Cloud Architect
- Head of Infrastructure
- CISO
- Security Engineer
- Cloud Security Engineer
- Application Security Engineer
- Security Architect
- IAM Engineer
- Penetration Tester
- SOC Analyst
- Incident Response / DFIR
- GRC Manager
- OT / ICS Security Engineer
- CIO
- VP of IT
- IT Director
- Salesforce Developer
- Salesforce Architect
- Workday HCM Consultant
- SAP S/4HANA Consultant
- ServiceNow Developer
- Business Systems Analyst
- Product Manager
- Technical Product Manager
- AI Product Manager
- VP / Director of Product
- Chief Product Officer
- QA Automation Engineer / SDET
- Sales Engineer / Solutions Engineer
- Solutions Architect (Pre-Sales)
- Forward Deployed Engineer
- Senior Software Engineer
- Solutions Architect
- SOC Manager
- Senior Product Manager
- QA Engineer
- Help Desk Analyst (Tier 1)
- Help Desk Analyst (Tier 2)
- Tier 3 Support Analyst
- Service Desk Analyst
- Bilingual Help Desk Analyst
- NOC Technician
- Junior Cybersecurity Analyst
- Access Provisioning Analyst
- Technical Support Engineer
- Technical Support Specialist
- Application Support Analyst
- Implementation Specialist
- Junior Software Developer
- Web Developer
- SQL Developer
- Mainframe / COBOL Developer
- QA Tester / Manual QA Tester
- Accessibility Tester
- Reporting Analyst
- Junior Data Analyst
- Database Analyst
- GIS Analyst
- Software Engineer
- Product Engineer
- Python Developer
- Java Developer
- .NET / C# Developer
- Go (Golang) Engineer
- Node.js Engineer
- TypeScript / JavaScript Engineer
- React Developer
- Angular Developer
- Vue.js Developer
- Ruby on Rails Developer
- PHP / Laravel Developer
- Rust Engineer
- Scala Engineer
- C++ Software Engineer
- Elixir Engineer
- API / Integration Engineer
- Web3 / Blockchain Engineer
- WordPress / CMS Developer
- Programmer Analyst (Application Developer)
- Startup CTO
- SVP of Engineering
- Head of Engineering
- VP of Platform Engineering
- Senior Director of Engineering
- Senior Engineering Manager
- Tech Lead / Lead Software Engineer
- Staff Engineer
- Principal Engineer
- Distinguished Engineer
- Chief Architect
- Senior Data Engineer
- Data Platform Engineer
- Streaming Data Engineer (Kafka / Flink)
- Big Data Engineer (Spark)
- Data Warehouse Engineer
- ETL / ELT Developer
- Database Engineer
- BI Analyst
- Data Analyst
- Product Analyst
- Data Governance Manager
- Director of Data Engineering
- Data Quality Analyst / Data Steward
- Data Migration / Conversion Specialist
- Senior / Staff ML Engineer
- LLM / Generative AI Engineer
- AI Agent Engineer
- ML Platform / Infrastructure Engineer
- Senior Data Scientist
- Decision Scientist
- Applied Scientist
- Research Scientist
- Research Engineer
- NLP Engineer
- Recommendation Systems Engineer
- Head of Data Science
- Chief AI Officer
- Senior DevOps Engineer
- AWS Engineer
- Azure Engineer
- GCP Engineer
- Kubernetes Engineer
- Terraform / Infrastructure as Code Engineer
- Build and Release Engineer
- Observability Engineer
- FinOps Engineer
- Developer Experience Engineer
- Deputy CISO / BISO
- Director of Information Security
- Security Engineering Manager
- Product Security Engineer
- DevSecOps Engineer
- Red Team Operator
- Detection Engineer
- Threat Hunter
- Threat Intelligence Analyst
- Malware Analyst / Reverse Engineer
- Vulnerability Management Analyst
- GRC Analyst
- Privacy Engineer
- AI Security Engineer
- Chief Digital Officer
- VP of Infrastructure
- Director of IT Operations
- Director of Enterprise Applications
- IT Manager
- Infrastructure Manager
- Service Desk Manager
- Salesforce Administrator
- Salesforce Functional Consultant
- Salesforce Marketing Cloud Specialist
- Workday Financials Consultant
- Workday Integration Developer
- HRIS Analyst
- SAP ABAP Developer
- SAP Basis Administrator
- Oracle Cloud ERP Consultant
- NetSuite Administrator / Developer
- Dynamics 365 F&O Consultant
- Dynamics 365 CE / Power Platform Developer
- ServiceNow Administrator
- ServiceNow Architect
- ERP Project Manager
- Epic Clarity / Cogito Report Writer
- Epic Bridges / Interface Analyst
- Epic Credentialed Trainer
- Oracle Health (Cerner) Analyst
- Clinical Informatics Manager
- Data Product Manager
- Platform Product Manager
- Growth Product Manager
- Product Owner
- Group Product Manager
- Principal Product Manager
- Director of Product
- VP of Product
- Test Automation Architect
- Performance Test Engineer
- Mobile QA Engineer
- QA Analyst
- QA Manager / Head of Quality Engineering
- UAT Tester / UAT Coordinator
- Customer Engineer
- Technical Account Manager
- Implementation Engineer
- Developer Advocate
- Director / VP of Solutions Engineering
- Bilingual Help Desk Analyst (English and Spanish)
- Healthcare Service Desk Analyst (clinical service desk)
- Help Desk Supervisor / Service Desk Team Lead
- NOC Technician (Tier 1)
- NOC Analyst (Tier 2)
- Command Center / IT Operations Center Analyst
- Computer Operator / Batch Scheduling Analyst
- Patch Management Analyst
- Production Support Analyst
- Customer Onboarding Specialist
- Implementation Manager
- Staff Software Engineer
- Principal Software Engineer
- Lead Software Engineer
- Software Engineering Manager
- Senior Data Analyst
- Lead Data Engineer
- Data Engineering Manager
- Senior Machine Learning Engineer
- Staff Machine Learning Engineer
- Principal Machine Learning Engineer
- Lead Data Scientist
- Machine Learning Engineering Manager
- Junior Cloud Engineer
- Senior Cloud Engineer
- Senior Site Reliability Engineer
- Staff Platform Engineer
- Platform Engineering Manager
- Senior Security Engineer
- Lead Security Engineer
- SOC Analyst Tier 1
- SOC Analyst Tier 2
- SOC Analyst Tier 3
- Senior IT Director
- Junior Salesforce Administrator
- Senior Salesforce Developer
- Lead Salesforce Developer
- Enterprise Applications Manager
- Senior Business Systems Analyst
- Associate Product Manager
- Junior QA Engineer
- Senior QA Engineer
- Lead QA Engineer
- Associate Solutions Engineer
- Senior Solutions Engineer
- Lead Solutions Engineer
- Solutions Engineering Manager
- Senior NOC Analyst
- NOC Manager
- Senior Technical Support Engineer
- Technical Support Team Lead
- Technical Support Manager
- Remote Software Engineer
- Hybrid Software Engineer
- Cleared Software Engineer
- Remote Technical Support Engineer
- Bilingual Service Desk Analyst
- Remote Data Engineer
- Java Backend Engineer
- Go Backend Engineer
- .NET / C# Backend Engineer
- Node.js Backend Engineer
- Angular Frontend Engineer
- Vue.js Frontend Engineer
- TypeScript Frontend Engineer
- Python Full Stack Engineer
- .NET / C# Full Stack Engineer
- Node.js Full Stack Engineer
- Ruby on Rails Full Stack Engineer
- Snowflake Data Engineer
- Databricks Data Engineer
- AWS Data Engineer
- Power BI Data Analyst
- Tableau Data Analyst
- SQL Data Analyst
- Computer Vision Machine Learning Engineer
- NLP Machine Learning Engineer
- Recommendation Systems Machine Learning Engineer
- Fintech AI Engineer
- AWS DevOps Engineer
- Azure DevOps Engineer
- Kubernetes DevOps Engineer
- Fintech Site Reliability Engineer
- AWS Site Reliability Engineer
- GCP Site Reliability Engineer
- AWS Cloud Engineer
- Azure Cloud Engineer
- GCP Cloud Engineer
- Fintech Security Engineer
- Bilingual Help Desk Analyst (Tier 1)
- Microsoft 365 Help Desk Analyst (Tier 2)
- Bilingual Help Desk Analyst (Tier 2)
- Fintech Technical Support Engineer
- Data Platforms Technical Support Engineer
- Fintech QA Engineer
- Fintech Product Manager
- Fintech Engineering Manager
- AI Engineering Manager
- Financial Services Salesforce Developer
How a Fintech, Payments and Insurtech search runs
Our process begins with an evaluation of the candidate understanding of transactional atomicity and the complexities of payment protocols. We use a combination of architectural project walkthroughs and coding challenges that reflect real-world fintech bottlenecks. The objective is to assess their technical rigor and their ability to design systems that are both highly secure and resilient under heavy.
The selection continues with deep-dive sessions regarding their experience with compliance-driven development. We examine how they manage the trade-offs between rapid feature deployment and the strict security gates required by financial regulators. Final interviews focus on their ability to lead complex projects that involve cross-functional teams, ensuring they can translate nuanced financial requirements into efficient and compliant software solutions.
Insurtech firms modernize legacy insurance functions like underwriting, claims processing, and complex distribution channels. We work through this sector by sourcing engineers who grasp dense insurance logic rather than just general software patterns. Finding developers who understand the regulatory environment while executing modern digital transformation is a significant challenge for any growing insurance startup today.
Technical recruitment in this space demands a deep focus on policy administration systems and actuarial integration. We prioritize candidates who have successfully bridged the gap between financial risk modeling and performant software architecture. Our search strategy targets professionals capable of handling the nuances of carrier integrations while ensuring system reliability in highly regulated financial markets.
Building reliable rating engines requires engineers with precision and an eye for data integrity. We examine how potential candidates handle complex mathematical inputs and real time calculations within a cloud environment. The ideal professional brings experience in translating actuarial tables into scalable software components that function reliably under the intense scrutiny of state insurance commissions.
Claims workflows define the core value of a modern carrier platform. We look for technical expertise in designing event-driven systems that can manage long lived processes across multiple external data sources. Our assessment focuses on an engineer's ability to simplify intricate business rules into clean code that simplifies daily operations for internal adjusters and external agents.
Connecting modern startup technology to massive legacy carrier systems is a primary failure point for many organizations. We identify engineering talent that understands how to build wrappers and middleware that accommodate diverse data formats. Successful integration efforts require a patient mindset toward legacy limitations and a forward thinking approach to API driven communication and data flow.
Our vetting process prioritizes candidates with experience managing high availability integrations. We analyze their background in troubleshooting connectivity gaps between proprietary core systems and modern customer facing interfaces. By understanding the common pitfalls of legacy communication, we help our clients select engineers who build resilient connections that remain stable despite updates in core platform infrastructure.
Insurance success hinges on accurate risk modeling and data validation. We target engineers who view data consistency as a foundational product feature rather than an afterthought. These candidates must demonstrate a history of implementing strict verification layers within pipelines to ensure that every underwriting decision is based on verified, accurate, and secure information packets throughout the system.
We verify technical competence by exploring how engineers structure their data schemas for complex insurance products. A common red flag is a lack of experience with longitudinal data integrity which is critical for long term risk assessment. We look for individuals who advocate for reliable automated testing to catch errors in risk calculations before they reach production.
Managing general agents and insurance startups operate with specific resource constraints that require high engineering versatility. We seek talent that moves fast without compromising the regulatory and accuracy standards inherent in the industry. The best candidates understand when to build custom solutions and when to integrate existing vendor tools to keep the product roadmap moving effectively.
Our search process accounts for the specific developmental stage of your insurtech firm. Early stage companies require generalists who can pivot quickly, while later stage firms need specialists who can optimize performance. We evaluate candidates on their ability to balance the urgency of market competition with the high stakes nature of the insurance business model.
We focus our technical examination on how candidates manage state and complex transaction flows. We ask deep questions about how they handle deadlocks and inconsistencies in multi stage insurance transactions. A strong candidate provides clear examples of designing idempotent systems that keep financial data safe during unexpected network failures or sudden spikes in user demand.
Cultural fit extends beyond technical titles and spans into how an engineer approaches compliance. We identify developers who proactively engage with legal and product teams to clarify requirements before writing code. This collaborative mindset is essential for minimizing costly rework and ensuring that the final software product meets the strict demands of insurance industry standards.
Our contingency model focuses exclusively on the direct hire of high impact technical professionals. We initiate our search by defining the exact technical requirements needed to support your current stack and infrastructure. We operate with full transparency to ensure that every candidate we present has been vetted for the specific, complex challenges facing your engineering organization today.
Fees are strictly tied to a successful hire, reflecting our commitment to the specific goals of our clients. We do not engage in contract staffing or volume based recruiting that distracts from quality. Instead, we perform a dedicated search that treats each role as a high stakes mission, ensuring your team gains long term value and technical expertise.
What happens next
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
Questions about this search
When will we see a shortlist?
We agree the search plan after checking your requirements for ledger system design and pci dss compliance, rather than promising a date before the brief is clear. Financial platforms rely on rock-solid ledger systems where data accuracy is non-negotiable.
What if a candidate gets a counteroffer?
We ask what would make someone leave work involving ledger system design, and what could make them stay. Before you invest in interviews, we discuss whether your offer changes the problem they want to leave, including the responsibility for high availability transactions.
Should this role be remote or on site?
Experience with ledger system design and pci dss compliance does not settle the location question. Tell us what access and supervision the work needs, including who owns decisions about high availability transactions, so we approach people who can accept the arrangement.
How will you check fit before we interview?
Financial platforms rely on rock-solid ledger systems where data accuracy is non-negotiable. We screen for expertise in designing double-entry accounting models that ensure transaction consistency across distributed environments. Adherence to PCI DSS standards is mandatory for anyone involved in payment processing architecture.
How does the fee work?
No upfront fee. You pay only if you hire. Agree the fee and the responsibilities covering ledger system design and pci dss compliance in the recruiting agreement before the search proceeds.
What if the hire does not work out?
We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement. Make sure the agreed scope includes what you expect of high availability transactions, rather than leaving that discussion until after the start.
No upfront fee. You pay only if you hire. We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
Related roles and stacks
How a search runs
The Six-Step Search
- 1Search Calibration
A call about the work. You get a written search profile.
- 2Market Mapping
We identify the employer backgrounds that fit. You see where we will look.
- 3Professional Contact Intelligence
We identify individual people, not job board applicants.
- 4Persistent Personalized Outreach
Personal outreach and direct follow-through. You get search updates.
- 5Live Candidate Qualification
A recruiter checks stack, scope and motivation in conversation.
- 6Candidate Intelligence and Process Support
You receive a written brief on every person you meet.
Working with Technology Headhunters
What don't you do in a permanent search?
We do not bill by the hour for permanent search or charge a retainer unless one is agreed. We do not treat reposting your job advertisement as headhunting.