Gorilla Logic

Chief Technology Officer

• Define and communicate Gorilla Logic’s technical vision aligned to business strategy and market positioning
• Act as a connective leader across Sales, Solutions Engineering, and Delivery
• Provide architectural guidance and modernization leadership across client engagements
• Stay current on emerging AI, cloud, and software engineering trends and translate them into pragmatic customer value
• Mentor senior technical leaders and develop the next generation of engineering leadership

Chief Technology Officer, CTO

Backend Engineer

• Collaborate with an agile team to design, build, and optimize backend solutions.
• Mentor junior developers and promote best coding practices.
• Work closely with DevOps and QA teams to build and maintain CI/CD pipelines.
• Conduct code reviews, write tests, and ensure the delivery of clean, maintainable code.
• Actively participate in Agile processes, including sprint planning and user story estimation.
• Communicate effectively in English, both written and verbal, with team members and stakeholders.
• Apply strong analytical and problem-solving skills to troubleshoot and improve systems.

Senior Python Developer

• 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

Senior Python Engineer

• Responsible for backend development of web (and/or mobile) applications
• Design, develop, test, deploy, maintain, and support production code
• Responsible for APIs and backend services that enable the application
• Responsible for building and maintaining production applications

Senior Java Engineer

Data Engineer

• Design and evolve enterprise data architectures, including Lakehouse, Data Warehouse, pipelines, semantic models, and reporting layers.
• Define and maintain architectural standards, patterns, and best practices across Microsoft Fabric and Azure services.
• Translate enterprise data strategy into epics, features, and actionable technical stories.
• Lead technical planning activities, identifying dependencies, risks, and trade-offs early in the lifecycle.
• Establish and enforce standards for data quality, taxonomy, pipeline design, and semantic modeling.
• Review solution designs and critical implementations to ensure scalability, performance, and maintainability.
• Act as a technical leader and mentor, elevating engineering practices and system-level thinking.
• Design, build, and enhance data pipelines, dataflows, notebooks, and semantic models.
• Contribute hands-on to complex and high-impact initiatives where architecture and implementation intersect.
• Support platform modernization, including migration from on-prem SQL Server to Microsoft Fabric.
• Optimize data solutions for performance, reliability, and cost efficiency.
• Collaborate with Data Scientists to productionize ML models and integrate them into enterprise pipelines.
• Apply AI-assisted techniques to improve development workflows and solution quality.
• Deliver scalable, maintainable, and high-quality data solutions aligned with best practices.
• Participate in cross-project planning and release activities.
• Collaborate with Product Owners and stakeholders to align solutions with business needs and priorities.
• Monitor systems using logs and dashboards to ensure performance, reliability, and issue resolution.
• Create and maintain clear, concise technical documentation (architecture, systems, processes).

Senior Application Data Architect

DevOps Engineer

• Design and maintain robust Azure cloud infrastructure and services, with familiarity in managing hybrid environments.
• Architect network topology, security zones, and firewall rules for multi-tier application stacks.
• Define and enforce Infrastructure as Code (IaC) standards across the organization using tools like ARM templates, Bicep, or Terraform.
• Evaluate, select, and integrate Microsoft ecosystem tools including Azure DevOps, Azure Kubernetes Service (AKS), and Azure App Service to optimize cloud platform capabilities.
• Design, build, and maintain multi-stage, secure, and resilient CI/CD pipelines using GitHub Actions and Azure Pipelines.
• Manage reliable, automated, and scalable deployment to Azure services (e.g., AKS, App Service, Function Apps).
• Implement and manage serverless and containerized deployment strategies in Azure.
• Coordinate closely with network and security teams for critical cloud operations, including certificate management, Azure DNS configuration, and Azure Load Balancer/Traffic Manager setup.
• Implement and manage comprehensive monitoring solutions using the Azure stack: Azure Monitor, Application Insights, and Log Analytics Workspaces.
• Define, track, and report on SLIs (Service Level Indicators) and SLOs (Service Level Objectives), managing error budgets in collaboration with development leads.
• Integrate proactive DevSecOps practices: SAST (Static Analysis), DAST (Dynamic Analysis), dependency scanning, and secrets detection directly within the CI/CD pipelines.

Chief Technology Officer, CTO

Senior Python Developer

Senior Python Engineer

Senior Java Engineer

Senior Application Data Architect

Senior DevOps Engineer, Azure Cloud