Senior Python Engineer

3 days ago

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Gorilla Logic

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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.

Mobile Application Development • Java Software Development • Web Application Development • Development & IT Consulting • Custom Software Development

501 - 1000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

•Gorilla Logic provides nearshore Agile teams to Fortune 500 and SMB companies, bringing unparalleled expertise in the delivery of full-stack web, mobile, and enterprise applications. •We are seeking a Senior Software Engineer to maintain, optimize, and troubleshoot our existing systems built on Kubernetes, microservices architecture, Kafka, Go, Python, event-driven systems, data orchestration frameworks, and scalable datastores such as Elasticsearch and Apache Pinot. •This role focuses on system stability, performance optimization, and issue resolution, rather than building new systems from scratch. •You'll ensure our infrastructure and services remain reliable, secure, and efficient, while proactively identifying and addressing potential risks and bottlenecks. •The ideal candidate is a self-sufficient engineer with strong troubleshooting skills, capable of making informed technical decisions and collaborating across teams when needed. •Monitor, troubleshoot, and resolve issues across Kubernetes-based microservices. •Maintain and optimize Kafka-based event pipelines for reliability and performance. •Manage and fine-tune Elasticsearch and Apache Pinot clusters for search and analytics workloads. •Oversee and optimize data orchestration workflows (e.g., Prefect, Flyte). •Perform root-cause analysis for incidents and implement preventative measures. •Ensure infrastructure stability and scalability within Kubernetes environments. •Collaborate with cross-functional teams to address technical debt and operational challenges. •Review and improve CI/CD pipelines for deployment reliability. •Document processes, operational runbooks, and troubleshooting guides. •Proactively identify risks, inefficiencies, and areas for improvement.

🎯 Requirements

•5+ years of professional software engineering experience, with significant time spent in system maintenance or reliability-focused roles. •Proficiency in Go and Python programming languages. •Strong experience with Kubernetes for container orchestration and management. •Hands-on experience with Kafka and event-driven architectures. •Familiarity with Elasticsearch and Apache Pinot for search and analytics. •Experience with data orchestration tools (e.g., Prefect, Flyte, Airflow). •Strong understanding of distributed systems design principles and pub-sub patterns. •Proven track record of troubleshooting complex production issues and implementing long-term fixes. •Ability to work independently with minimal oversight and prioritize tasks effectively. •Clear and concise communication skills, including documentation practices.