Role Description We’re looking for a strong Software Engineer with Data Engineering experience. Someone who is proficient in building robust, scalable, maintainable and thoroughly monitored data pipelines on cloud environments. As an ambitious start-up in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, have a self-starter attitude, and be willing to get their hands dirty with day-to-day work that might be out of their official scope, while keeping an eye on their goals and the big picture. Responsibilities: - Design and implement customer facing integrations of various asset types into the data pipelines. - Design and develop the data's team micro services - Java services running on K8S and in AWS. - Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources. - Enrich financial data through third-party data integrations, FIX, CSV, JSON and other formats - including market (e.g. order book) and reference (e.g. company information) data. - AI-first solution approach. Coding using AI agents, such as Claude, for a given problem context, with adherence to the architectural and coding conventions of the organization. - Plan and communicate integrations with other teams that consume the data and use it for insights creation. Strong collaboration with product and customer facing teams. - Tackle data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more. Qualifications - BSc. in Computer Sciences. - Strong background as a software engineer with at least 3+ years experience with Java. - 5+ years in data engineering, and data pipeline development on high-volume, low-latency production environments. - Experience working in fintech, crypto or trading industries, and familiarity with FIX and market data is an advantage. - Experience with monitoring systems (Prometheus, Grafana). - Experience with data-engineering cloud technologies as Apache Airflow, K8S, Clickhouse, Snowflake, Redis, Caching technologies and Kafka. - Proven experience with relational, non-relational, and time series DBs. Proficient in SQL and query optimizations. - Experience with designing infrastructure at scale to maintain high availability SLAs. - Experience with monitoring and managing production environments. - Curiosity, ability to work independently and proactively identify solutions. Strong communication skills. - Excellent verbal and written communication skills in a remote environment, working cross functionally. Company Description At Solidus, we are shaping the financial markets of tomorrow by providing cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets, prediction and crypto markets. With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered in Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.

Role Description As our Registered Nurse (RN), you will be a pivotal healthcare professional, delivering compassionate, high-quality care that truly impacts our patients' well-being and recovery. Every day, you will leverage your expertise to provide individualized, comprehensive care, making critical assessments, performing skilled procedures, and meticulously implementing patient care plans. You'll collaborate seamlessly within an interdisciplinary team, contributing to a dynamic environment focused on optimal patient outcomes. To thrive in this vital role, you will possess keen assessment skills, acute critical thinking, and a patient-first mindset, driven by a profound enthusiasm to help others. Your sense of urgency and dedication to excellence in a fast-paced environment will not only support patient recovery but also fuel your own career advancement. - PROFESSIONAL PRACTICE: - Provides effective, comprehensive evidence-based nursing care to achieve desired health outcomes. - Organizes and prioritizes patient care activities balanced with the needs and comfort of the patient. - Collaborates with other disciplines to ensure comprehensive, holistic, and effective plan of care. - Applies knowledge of current practice standards, guidelines, statutes, rules, and regulations. - Demonstrates accountability for own ethical behavior and supports ethical practice by addressing or escalating issues. - Serves as a patient advocate. - ASSESSMENT: - Completes patient assessments competently. - Assesses for and identifies needs of unit-specific patient population. - Assesses for and identifies any physical, emotional, psychosocial, spiritual, educational, discharge, and cultural needs. - PLANNING: - Completes an individualized plan of care based on assessment of the patient. - Coordinates with other disciplines when indicated. - Prioritizes care needs and sets measurable goals and time frames. - Includes patient and family in the planning. - IMPLEMENTATION: - Implements interventions based on nursing and medical plan of care. - Manages patient population, diagnosis, and age-specific needs through appropriate adaptation of interventions. - Appropriately utilizes equipment and supplies (including following established policies, procedures, and protocols governing the transport, handling, and storage of intravenous fluids). - EVALUATION: - After implementation, reassesses the patient to verify effectiveness of interventions. - Updates the plan of care to reflect current care needs. Qualifications - Current and Active CA Registered Nurse - AHA Basic Life Support (BLS) and Advanced Cardiac Life Support (ACLS) Requirements - Requires minimum of 6 months previous acute care RN experience Preferred - Bachelors Of Nursing, upon hire

• Design, develop, and maintain RESTful APIs and microservices using Python. • Integrate and support Pindrop solutions including authentication, fraud detection workflows, and SDK/API usage. • Architect secure, scalable, and high-performance backend applications. • Integrate backend services with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and DynamoDB. • Write clean, efficient, testable code following best practices for performance, maintainability, and security. • Design and deploy cloud-native applications using AWS services including EC2, Lambda, S3, RDS, DynamoDB, API Gateway, and IAM. • Implement and maintain CI/CD pipelines using GitHub Actions or GitLab CI. • Set up monitoring, logging, and observability using CloudWatch, CloudTrail, and Splunk logging. • Collaborate on infrastructure automation using CloudFormation and Terraform. • Integrate solutions with AWS services like Lambda. • Use of AI-assisted coding in development workflows. • Assist in migration projects from legacy contact center platforms to Amazon Connect. • Contribute to frontend work (React/Angular/Vue) when needed and ensure smooth integration with backend APIs.

• Desarrollar soluciones backend en tecnologías como Java17 y Springboot • Realizar pruebas unitarias y mantener alta calidad en el código • Colaborar con otros equipos para implementar servicios REST