Platform Engineer In Fintech Resume Example

Professional ATS-optimized resume template for Platform Engineer In Fintech positions

John A. Doe

Platform Engineer | Fintech Specialist

Email: johndoe@email.com | Phone: (555) 123-4567 | LinkedIn: linkedin.com/in/johndoe | GitHub: github.com/johndoe

PROFESSIONAL SUMMARY

Innovative Platform Engineer with over 6 years of experience building scalable, secure, and high-availability financial technology platforms. Expertise in cloud-native architectures, microservices, real-time data processing, and DevOps automation. Proven ability to deliver seamless integration of fintech solutions with a focus on compliance, security, and user-centric design. Passionate about leveraging emerging technologies like AI-driven analytics and decentralized finance (DeFi) protocols to enhance platform robustness and user trust.

SKILLS

**Hard Skills:**

- Cloud Platforms: AWS, GCP, Azure

- Containerization & Orchestration: Docker, Kubernetes, OpenShift

- Microservices Architecture & API Development (REST, gRPC)

- Security & Compliance: OAuth2, OpenID Connect, PCI DSS, AML/KYC integrations

- Data Streaming & Processing: Apache Kafka, Redis Streams, Flink

- Continuous Integration/Deployment: Jenkins, GitLab CI/CD, ArgoCD

- Infrastructure as Code: Terraform, Pulumi

- Programming Languages: Python, Go, Java, Bash

- Monitoring & Logging: Prometheus, Grafana, ELK Stack

**Soft Skills:**

- Problem-Solving & Analytical Thinking

- Cross-Functional Collaboration

- Agile Methodologies & Scrum

- Effective Communication in Fast-Paced Environments

- Adaptability to Emerging Technologies

WORK EXPERIENCE

*Senior Platform Engineer*

**FinSecure Payments Ltd.** — San Francisco, CA

June 2022 – Present

- Led migration of the core financial platform to a serverless architecture on AWS, reducing operational costs by 25% and improving scalability.

- Designed and implemented a real-time fraud detection system utilizing Kafka and machine learning models, decreasing false positives by 30%.

- Developed automated deployment pipelines with ArgoCD, enabling zero-downtime updates across multiple regions.

- Ensured compliance with PCI DSS and AML/KYC regulations through integrated security controls and audits.

- Collaborated with product teams to develop API gateways, supporting microservice integration with third-party fintech partners.

*Platform Engineer*

**FinTech Innovators Inc.** — New York, NY

August 2018 – May 2022

- Built a cloud-native payment processing platform using Kubernetes, Docker, and microservices, supporting over 2 million daily transactions.

- Integrated blockchain technology for secure transaction validation, enhancing trust and transparency for clients.

- Orchestrated the deployment of a real-time analytics dashboard leveraging Apache Flink and Redis Streams, enabling proactive risk management.

- Automated infrastructure provisioning with Terraform, reducing manual errors and onboarding time for new environments.

- Implemented comprehensive monitoring and alerting solutions, achieving 99.99% platform uptime.

*Software Engineer (Intern)*

**CryptoBanking Labs** — Remote

Summer 2017

- Contributed to the development of an API gateway for digital banking services, focusing on scalability and security.

- Assisted in the deployment of blockchain nodes and integration with existing banking systems.

EDUCATION

**Bachelor of Science in Computer Science**

University of California, Berkeley — Berkeley, CA

*Graduated: May 2017*

CERTIFICATIONS

- AWS Certified Solutions Architect – Professional (2023)

- Certified Kubernetes Administrator (CKA) (2022)

- Certified Fintech Professional (CFtP) (2021)

PROJECTS

**Decentralized Lending Platform**

- Developed a blockchain-based peer-to-peer lending platform supporting native smart contracts. Ensured secure and transparent transactions, reducing settlement times by 50%.

- Integrated with traditional banking APIs for seamless fiat-crypto conversions, facilitating hybrid finance solutions.

**AI-Powered Fraud Prevention System**

- Built an AI-driven fraud detection mechanism that analyzes transaction patterns using Python and TensorFlow, significantly enhancing detection accuracy in real time.

TOOLS & TECHNOLOGIES

AWS, GCP, Azure, Docker, Kubernetes, Terraform, Pulumi, Kafka, Redis, Prometheus, Grafana, Jenkins, GitLab CI/CD, ArgoCD, Python, Go, Java, Bash

LANGUAGES

English (Fluent), Spanish (Professional Working Proficiency)

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