Staff Engineer (Java) - FinTech

Our Platform Engineering Team is on a mission to solve complex challenges for some of the world’s most reputable FinTech and Financial Trading firms. With our expertise, we tackle issues at the heart of financial technology, including platform stability, integration, and scaling capabilities that impact billions globally. Our recent initiatives have set new standards in Conversion & Go Live, supporting the core infrastructure of the financial trading industry.

This role provides an opportunity to lead a high-impact practice where innovation meets the financial sector’s demanding technical landscape. With your expertise and vision, we will continue driving meaningful change and advancing industry standards.

We are looking for a Practice Leader with a strong background in Non-Functional Requirements (NFR) to build and scale a comprehensive technical practice. You will lead the design and implementation of our core NFR methodology, review processes, automation roadmap, and checklist management that ensure consistent, high-quality platform assessments and delivery across projects. The Practice Leader will oversee capacity planning, resource allocation, and engagement processes to streamline technical reviews and create value across the organization.

This role requires a deep understanding of application reliability, automation, data architecture, and platform engineering, and an ability to develop a structured, repeatable approach to managing client engagements and technical quality at scale. You will lead a talented team to standardize our methodology, build automation into the review process, and enhance the technical rigor of each platform assessment.

We are looking for a leader who can

System Design and Architecture: Develop high-performance, scalable, and secure systems, ensuring alignment with business goals.
Non-Functional Requirements (NFRs): Define and manage NFRs, focusing on application reliability, performance, and service-level objectives (SLOs).
Drive cloud adoption and optimize infrastructure for scalability using AWS or other cloud platforms.
Microservices Development: Design and deploy REST-based microservices architecture.
Oversee enterprise data platforms (e.g., Snowflake) and ensure robust data governance and security.
Implement DevOps practices, build CI/CD pipelines, and automate workflows for efficiency and reliability.
Utilize Kafka for data streaming and messaging solutions.
Incident Management: Lead technical teams in swift incident response and ensure operational stability.
Ensure adherence to regulatory requirements, including financial operations and security protocols.
Enhance productivity by improving developer tools, processes, and engineering metrics.

This position calls for a visionary who can translate technical expertise into structured, scalable processes that improve both internal efficiency and client outcomes, ensuring that every technical engagement is conducted with rigor, quality, and innovation.

Tech & Leadership Skills
Programming Languages: Java 8+, Spring Boot, Hibernate ORM, Python
Cloud Platforms: AWS (preferred), Azure, GCP
Data Tools: Snowflake, Kafka, Relational Databases (e.g., PostgreSQL, MySQL)
Operating Systems: Linux/Unix environments
DevOps Practices: CI/CD pipelines, Terraform, Ansible
Architecture and Design: Microservices, REST APIs, event-driven architecture
Data Governance: Metadata management, data modeling, database optimization

Qualifications & Background
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
Leadership Experience: 10+ years of progressive leadership in technology roles, ideally within the fintech or financial services industry, with a proven record of managing platform engineering, cloud infrastructure, and large-scale technology initiatives.
Technical Expertise: Advanced experience with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and automation tools (e.g., Terraform, Ansible).
Programming Proficiency: Strong knowledge of programming languages, including Java and Python, with the ability to guide teams on best practices and implement effective solutions.
Certifications: Relevant industry certifications (e.g., AWS Certified DevOps Engineer, Certified Information Systems Security Professional - CISSP) are highly valued.
Data Security and Compliance: Deep understanding of data security protocols, compliance standards, and regulatory requirements specific to the fintech industry.
FinOps and Cost Management: Experience implementing financial operations (FinOps) strategies to optimize technology costs and efficiency.
Innovation and Research Skills: Strong background in exploring and implementing new tools and technologies, including knowledge of AI, machine learning, and data analytics, particularly as they apply to financial technology.
Knowledge of Blockchain and Cryptocurrency: Familiarity with blockchain and cryptocurrency technologies is an advantage.
Agile and DevOps Methodologies: Proficiency in Agile development methodologies and DevOps practices, with experience fostering a collaborative, high-performing engineering culture.
Strong Communication and Leadership Abilities: Excellent strategic thinking, problem-solving, and interpersonal skills, with the ability to inspire and motivate diverse teams.
Startup or High-Growth Experience: Previous experience in a startup or high-growth company environment, adaptable to rapid scaling and evolving technical demands.

Technology Stack Requirements
Java Development: Strong experience with Java 8, Spring Boot, and Hibernate ORM, building scalable and high-performance applications.
Cloud Infrastructure: Proficiency in AWS (Amazon Web Services) for cloud hosting, deployment, and management.
DevOps Practices: In-depth understanding of DevOps, including CI/CD processes and tools.
REST-based Microservices: Experience in designing, developing, and deploying RESTful microservices.
Data Streaming and Messaging: Proficiency in Kafka for real-time data streaming and messaging solutions.
Relational Databases: Advanced knowledge of relational databases, database modeling, and management.
Scripting and Automation: Competence in Python for scripting, automation, and data processing tasks.
Operating Systems: Strong familiarity with Linux/Unix environments for system management and application deployment.

Our Process
Schedule a 15 min Video Call with someone from our Team
4 Proctored GQ Tests (< 2 hours)
30-45 min Final Video Interview
Receive Job Offer

If you are interested in reaching out to us, please apply and our team will contact you within the hour