Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo’s 500+ employees are located in more than 10 countries around the world. Job Description Summary 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. What you'll do: - 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. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. #LI-Remote Qualifications For this role, you must be based in Brazil Language Skills Proficiency in English at B1 level or above (Intermediate). Technical Skills - 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. Preferred Qualifications - 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). Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. - Job Family Group: Engineering and Technology

• Own the architecture and delivery of production-grade LLM systems and classical ML solutions • Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring) • Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate • Define architecture trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models), with a strong focus on system-level optimization (latency, cost, scalability, reliability) • Architect and optimize distributed GenAI and ML workloads on Databricks (Spark, MLflow), leveraging deep understanding of the platform ecosystem • Implement evaluation frameworks to measure quality, hallucination, and performance • Productionize systems with proper CI/CD, monitoring, rollback, and versioning • Independently design AI solutions tailored to client problems, translating business needs into scalable architectures • Lead technical decisions in client engagements and actively contribute to pre-sales architecture discussions • Mentor team members and define GenAI and ML best practices.

• Refine and scale our patented hybrid engine, focusing on the interface between LLM-based reasoning and probabilistic logic. • Write and deploy high-availability production code in Java and Python, ensuring adherence to security and scalability standards. • Maintain and extend our internal evaluation and validation frameworks, including synthetic data generation, automated metric tracking, and model explainability. • Work with Medical Experts and AI Engineers to translate complex medical requirements into technical specifications. • Provide technical documentation of AI components for stakeholders and regulatory compliance (e.g. SaMD).

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for technically skilled professionals to join a short-term project as Technical Annotators, contributing to the creation and validation of high-quality workflow data used to train advanced AI systems. In this role, you will produce detailed, step-by-step technical workflows for developer-adjacent tasks such as file operations, scripting, API usage, terminal commands, and browser-based automation. The work requires strong attention to detail and the ability to translate natural-language instructions into precise executable steps. This role is ideal for candidates with experience in software development, technical support, scripting, or Linux environments. Commitments Required: 6-8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, Brazil Interview: take home assessment (60min) Your Daily Responsibilities - Create step-by-step technical workflows based on natural language instructions - Produce structured task trajectories for developer-style activities - Execute and document workflows in Linux desktop environments - Validate trajectories for correctness, completeness, and reproducibility - Use Python or Bash scripting to simulate or verify task execution - Work with APIs, terminal commands, files, and browser-based tools - Review annotations to ensure consistency and high quality - Follow detailed annotation guidelines and quality standards - Collaborate with internal reviewers to improve task accuracy