About the Role:
Fideo Intelligence transforms massive datasets into real-time fraud-detection insights that protect people and organizations worldwide. As our Senior Platform Engineer, you’ll own the end-to-end reliability and performance of Fideo’s real-time fraud-detection backbone. You’ll spend half your time architecting, securing, and operating our AWS environments, and half your time as a backend engineer building and optimizing microservices. Your work directly impacts our ability to process millions of events per day with sub-100 ms latency, maintain SOC 2 controls, and stay ahead of emerging threats.
You’ll drive AWS best practices, designing VPCs, IAM policies, networking, and container platforms (EKS/ECS), to ensure high availability and airtight security. You’ll lead vulnerability assessments, patch cycles and compliance initiatives, documenting controls and guiding audits to keep us SOC 2 ready.
On the code side, you’ll design, implement and tune Java microservices that power our streaming pipelines and customer-facing APIs. You’ll identify hotspots, refactor for scale, and instrument services with metrics, logs, and distributed tracing, turning data into actionable insights on demand.
Working on a tight-knit team of five engineers, you’ll wear multiple hats: automating CI/CD, defining SLIs/SLOs, responding to incidents, and evolving our observability framework. You’ll partner with product, data, and security leads to translate requirements into resilient, high-throughput systems, and mentor peers in both SRE and backend best practices.
Ideal Candidate:
Our ideal candidate is a hands-on engineer who is passionate about building reliable systems and thrives in high-performance environments. You are naturally curious, enjoy deep dives into complex problems, and excel at identifying and resolving issues in real-time systems. You are fluent in DevOps and AWS, and you seamlessly flex between operations and backend development to ensure our systems achieve and maintain high availability. You relish working on a small, agile team (we are five engineers) and wearing many hats to design, build, and operate scalable, resilient infrastructure.
Core Responsibilities:
- Real-Time Pipelines & Streaming
- Design and optimize low-latency, high-throughput data systems (Kafka, Scylla, MySQL)
- Maintain and enhance data ingestion/delivery systems
- Microservices & APIs
- Develop scalable, fault-tolerant services (Java, predominantly) handling thousands of RPS
- Profile, refactor and tune for latency, resource utilization and horizontal scaling
- Design, document and conduct disaster recovery reliability testing
- Cloud, Security & Compliance
- Architect, deploy and maintain AWS (ECS, Lambda, VPC, IAM, RDS) tracking in Terraform
- Lead security: vulnerability remediation, patch management, least-privilege policies
- Drive SOC 2 compliance: implement controls, support audits, document processes
- Reliability & Automation
- Define SLIs/SLOs; onboard services into observability (Prometheus, Grafana, ZenDuty)
- Build CI/CD pipelines (GitActions, Docker), runbooks, and self-healing mechanisms
- Diagnose and resolve incidents; conduct blameless postmortems
- Collaboration & Documentation
- Partner with product, data, and security teams on architecture and feature delivery
- Mentor peers in SRE best practices and backend clean-code principles
- Document systems, workflows, and drive continuous process improvements
Requirements:
- 6+ years engineering experience in real-time systems or platform roles
- 3+ years hands-on backend dev: Java, Scala, or Go
- Expertise with Kafka (or similar), event-driven architectures, and NoSQL (ClickHouse, Scylla, Cassandra)
- Proficiency with RDBMS (MySQL, PostgreSQL)
- Deep understanding of networking (DNS, load balancing, latency optimization)
- Solid AWS cloud expertise and cloud-native service deployment
- Skilled with CI/CD, Docker and Kubernetes or ECS
- Infrastructure as code: Terraform or CloudFormation
- Observable systems: Prometheus, Grafana, PagerDuty (or similar)
- Strong debugging skills for distributed, real-time applications
- Excellent communication and clear technical documentation
Nice to Have:
- Hands on experience working with ML models and AI
- Background in financial or fintech space with an understanding of fraud
About Fideo:
At Fideo, we provide crucial intelligence to protect people, businesses, and communities. Our name is inspired by the concept of “Fides Publica,” which means public faith. We provide businesses access to billions of aggregated identity signals on people, devices, and behavior. Fideo applies trusted intelligence to power real-time identity verification and fraud protection.
At Fideo, we have embraced a default remote work environment in the US. Roles can be filled in the following states: Colorado, Florida, Georgia, Massachusetts, Missouri, New Hampshire, and Texas. Please only apply if you live in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift
Compensation and Benefits:
- $140,000 - $165,000 base plus company-based bonus plan and equity.
- We offer you and your family 100% covered medical, dental, and vision benefits.
- We are #defaultremote (fully and permanently remote). We plan to get the entire team together in person at least once a year.
- Work-Life Harmony - we want work to work for you and your family’s schedule.
- A monthly reimbursement for recurring home office expenses.
- Unlimited VTO (vacation time off) so you can recharge and relax when needed.
- Paid Parental Leave when you welcome a new member to your family.
- Bereavement leave to support the grieving process for the loss of both human and animal family members.
- The rich Company holiday schedule includes the week between Christmas and New Year off!
- We provide a prepaid HRA card for out-of-pocket medical, dental, and vision expenses.
All offers of employment at Fideo are contingent upon clear results of a thorough background check. Fideo is an Equal Opportunity Employer. Fideo does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
By clicking on the “submit application” button and applying for a job at Fideo, you are agreeing to submit your data to Fideo for the purposes of determining qualification for the role. In addition, Fideo will keep the personal data you submit for future recruiting and hiring processes.