Staff SW Engineer - Credit Rights

Summary

The Credit Rights Squad is responsible for developing digital receivables products to financial institutions using cutting-edge technologies to deliver a high-scalable, secure, cost-effective and resilient financial services to the clients.

What you'll do

• Develop and maintain robust backend systems primarily using the Java programming language, ensuring scalability, reliability, and maintainability.

• Deploy and manage cloud infrastructure on AWS by applying modern DevOps practices and principles.

• Design and implement Terraform workflows to provision, update, and decommission cloud resources in a controlled and automated manner.

• Drive technical decision-making to support system performance, maintainability, and long-term architectural health.

• Lead initiatives to identify and resolve technical debt, enhancing overall codebase quality and system sustainability.

• Advocate for and uphold high standards of code quality, test coverage, and comprehensive documentation.

• Enable teams to effectively address non-functional requirements, including observability, performance, security, and operational excellence.

• Contribute to quarterly planning and roadmap discussions by aligning technical strategy with business objectives and product context.

• Mentor and coach engineers to support their technical development and career growth.

• Promote cross-team collaboration and act as a technical reference to share knowledge and drive alignment across squads.

• Tackle complex and ambiguous technical problems under pressure, delivering innovative and practical solutions.

• Stay up to date with industry trends and emerging technologies, applying relevant innovations to enhance architecture and engineering practices.

• Shape and evolve engineering strategy by proposing, leading, and delivering impactful technical initiatives.

Minimum Qualifications

Language Skills:

• Proficiency in English at B1 level (Upper Basic-Intermediate).

Technical Skills:

• Proven experience in designing, architecting, and developing high-availability, high-throughput systems using Java in production environments.

• Demonstrated expertise in streaming data architectures leveraging technologies such as Kafka, RabbitMQ, and AWS Kinesis for real-time data processing and scalability.

• Advanced proficiency in AWS services—including SQS, SNS, EventBridge, S3, Step Functions, and Lambda—to design and implement cloud-native, event-driven solutions.

• Deep understanding of microservices architecture, with hands-on experience in cross-team governance, service decomposition, and performance optimization.

• Skilled in working with relational databases like MySQL and PostgreSQL, as well as non-relational databases such as MongoDB and DynamoDB, at scale.

• Strong leadership in cross-team collaboration, with the ability to align technical strategies, drive architectural decisions, and mentor engineers.

• Focused on scalable system design, performance tuning, and delivering cost-effective solutions in cloud environments.

• Hands-on experience with modern DevOps practices and tools, including CI/CD pipelines, infrastructure as code, and observability platforms.

• Committed to testing excellence, with practical experience in unit, integration, contract, and chaos testing for distributed systems.

• Proficient in managing infrastructure through Infrastructure as Code (IaC) using tools like Terraform and AWS CloudFormation to ensure efficiency and reproducibility.

Desirable Qualifications

• Practical experience with DevOps tools and practices, including Codefresh, ArgoCD, and GitLab CI/CD, to enable scalable and reliable software delivery.

• Familiarity with advanced architectural patterns such as CQRS, Event Sourcing, and Saga for designing distributed, event-driven systems.

• Knowledge of cloud cost optimization strategies and performance profiling techniques to ensure efficient use of cloud resources.

Bonus Qualifications

• Hands-on experience with Big Data tools and frameworks, including Databricks, Apache Spark, and Data Lake architectures for scalable data processing.

• Proficiency in Python for data manipulation and cloud-native processing workflows.

• Experience developing scalable and concurrent applications using Golang.

Core Benefits

• Remote work

• Flexible hours

• Meal & Food vouchers 

• Remote work financial support

• Life Insurance

• Medical and Dental

• Assistance Employee child care benefit: daycare

• Private Pension (2x1)

• Vidalink partnership

• Support for studying languages

• Incentive for AWS and GCP certifications

• Sesc Partnership

• Performance Incentive Plan