Sr SW Engineer, Legal Reports

Pismo

7d•Remote

About The Position

Legal Reports is the squad responsible for generating and operating regulatory banking reports for supervisory authorities such as the Central Bank of Brazil, the Federal Revenue Service, and international regulators. We work heavily with data engineering and backend development, using Golang as our primary programming language, extensive use of SQL, and distributed processing with Spark/Databricks, as well as Trino/Superset. Our infrastructure is based on AWS, leveraging services such as S3, Lambda, Kubernetes, and Glue. Platform observability is handled through Honeycomb and Grafana, integrated with OpsGenie, ensuring end‑to-end visibility.

Requirements

For this role, you must be based in Brazil
Proficiency in English at B1 level or above (Intermediate).
5+ years of experience as a Software Engineer, with proven experience working in production environments.
Strong experience with Golang and adaptability to other languages and ecosystems.
Advanced Git usage, including resolving complex version control and collaboration challenges.
Strong expertise in debugging and troubleshooting across distributed systems.
Proven experience conducting thorough code reviews with a focus on quality, performance, and cross-domain impact.
Solid testing expertise, including unit, integration, performance, and end-to-end tests in distributed systems.
Experience designing and documenting APIs using tools such as Swagger/OpenAPI, flow diagrams, and technical documentation to support DEVEX and external consumers.
Strong understanding of microservices architecture, including scalability, performance tuning, and cross-team governance.
Proficiency with AWS services such as SQS, SNS, S3, and Lambda, building cloud-native and event-driven architectures.
Experience with Infrastructure as Code and deployment pipelines using tools such as Terraform, ArgoCD, Jenkins, Codefresh, or similar.
Advanced usage of Docker and Kubernetes in production environments.
Strong knowledge of relational databases (MySQL/PostgreSQL) and data modeling, with familiarity in non-relational data strategies.
Understanding of CI/CD pipelines, GitOps practices, and observability concepts including monitoring, logging, tracing, and alerting.

Nice To Haves

Experience working with critical, mission‑critical systems.
Familiarity with cloud cost optimization strategies and application performance profiling.
Experience with observability tools such as Grafana, Honeycomb, or similar platforms.
AWS certifications.
Experience using AI-assisted development tools (e.g., Copilot, GPT, Claude) to improve development efficiency and quality.
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).

Responsibilities

Development and maintenance of scalable and reliable services, primarily using Golang and other JVM-related or cloud-native technologies, with deployment on AWS.
Own the development of efficient, readable, testable, and well-documented code aligned with the squad’s technical direction and business goals.
Actively participate in all stages of the software development lifecycle, including technical planning, system design, hands-on coding, testing, deployment, and production support.
Lead the design and execution of robust testing strategies, ensuring high coverage of business logic and reliability across distributed systems.
Proactively contribute to the growth of other engineers through code reviews, mentoring, knowledge sharing, and by fostering engineering excellence within the squad.
Ensure system stability, performance, and reliability through proactive monitoring, observability practices, incident response, and participation in on-call rotations.
Execute and maintain infrastructure as code using Terraform, creating and managing AWS resources as needed.
Collaborate closely with product and cross-functional teams, participating in technical analysis to translate product requirements into high-quality technical solutions.
Monitor applications using logs, metrics, and tracing tools, identifying and resolving issues in distributed systems environments.
Consistently contribute to technical decisions related to system design, scalability, performance, technical debt, and cloud cost efficiency.
Keep up with emerging technology trends and contribute insights to squad-level and collective-level technical discussions.
Be recognized for delivering high-quality, impactful technical solutions within the team and across collectives.