Senior Python Engineer

🕒 April 26

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Gorilla Logic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

📋 Description

• Design, develop, and maintain scalable backend services using Python (3.10–3.12) and Flask • Build and optimize RESTful APIs using tools such as Flask-RESTX and Flask-SQLAlchemy • Work with PostgreSQL for schema design, query optimization, and database migrations (Alembic) • Develop and maintain integrations with Elasticsearch for indexing, querying, and large-scale search capabilities • Implement and manage event-driven architectures using Apache Kafka • Deploy and manage containerized applications using Docker and Kubernetes (EKS) • Collaborate on infrastructure and deployment workflows using Helm and Argo CD (GitOps) • Monitor and troubleshoot systems using Datadog and Sentry • Contribute to system performance tuning, scalability improvements, and reliability initiatives

🎯 Requirements

• Strong experience with Python backend development (Flask preferred) • Solid understanding of SQLAlchemy and Alembic for ORM and migrations • Hands-on experience with PostgreSQL (schema design, performance tuning) • Experience working with Elasticsearch (querying, indexing, cluster concepts) • Knowledge of Apache Kafka and event-driven systems (consumer/producer patterns) • Experience with containerization (Docker) and Kubernetes (debugging pods, logs, deployments) • Familiarity with AWS services such as S3, EC2, and EKS • Strong problem-solving skills and ability to work in distributed systems environments

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities