Job description
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
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Pismo is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Pismo does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Pismo also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
