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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** Software Resources - **Location:** Lake Buena Vista, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Software Quality, Code Review, Continuous Integration, DevOps, Fault Tolerance, Python (Programming Language), Machine Learning, Network Service, Network Administration, Reliability Engineering, Ansible, Software Engineering, Pulumi, ReactJS, Reliability of Systems, Build Management, Containerization, AI Platforms, AngularJS, Kubernetes, Infrastructure Automation Frameworks, Front End Software Development, Terraform, Open Network Automation Platform, Software Version Control, Data Pipelines, Docker - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=75a5188d82825f54 ## About the Role Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * 2 5 years of experience in software engineering or related technical field. * Experience developing backend services and/or APIs using languages such as Python, Go, or similar. * Familiarity with frontend frameworks (e.g., React, Angular) or willingness to learn. * Basic understanding of Infrastructure-as-Code tools (e.g., Ansible, Terraform, or Pulumi). * Exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker or Kubernetes). * Strong problem-solving skills and a willingness to learn in a fast-paced, collaborative environment. * Effective communication skills and ability to work across teams. * Strong communication, collaboration, and leadership skills with the ability to collaborate globally across various time zones. Nice-to-Haves: * Exposure to network engineering or network automation concepts. * Familiarity with CI/CD pipelines and DevOps practices. * Interest in observability, monitoring, or site reliability engineering (SRE). * Basic knowledge of AI/ML concepts or data processing pipelines. * Relevant certifications (cloud, Kubernetes, or networking). Education: BS STEM ## Description A day in the life of this Software Engineer includes the following: * Partner with network and operations teams to understand existing processes and identify opportunities for automation. * Contribute to breaking down manual workflows into reusable code and automation modules. * Develop and enhance components of network automation and orchestration platforms. * Build and maintain automation workflows. * Write and execute unit tests and support CI/CD pipelines to validate automation solutions. * Assist in end-to-end testing and validation of automated workflows. * Support demos, documentation, and training materials for delivered solutions. * Collaborate with senior engineers to design scalable and reliable systems. Systems Reliability Engineer for Networks * Contribute to automation initiatives that improve network reliability and operational efficiency. * Support the integration of telemetry, monitoring, and automation into network workflows. * Assist in troubleshooting and root cause analysis using data and logs. * Design and build self-healing network systems operations using automation, telemetry, and emerging technology. Software Engineering & Automation * Design, develop, and maintain advanced automation and orchestration workflows for network services. * Create and implement Infrastructure-as-Code (IaC) workflows, APIs, and CI/CD pipelines for network management. * Implement technical design for an enterprise-scale network automation / AI platform that unites multiple technical domains, integrates cleanly with existing ecosystems, and distills complex capabilities into intuitive, self-service experiences accessible to both developers and non-developers. * Follow best practices for code quality, testing, and version control. Network Tooling & Observability Delivery * Help build and enhance tools that provide visibility into network performance and automation health. * Support the development of dashboards, alerts, and reporting capabilities. * Learn and apply concepts related to predictive analytics or AI/ML in automation use cases. Collaboration & Business Partnership * Work closely with cross-functional teams across engineering and operations. * Actively engage in code reviews, team discussions, and knowledge sharing. * Continuously develop skills in software engineering, networking, and automation frameworks. Service Reliability & Optimization * Ensure service reliability, performance, and operational uptime through code-driven solutions. * Conduct root cause analysis, design fault-tolerant architectures, and enable self-healing automation. * Implement monitoring dashboards and KPIs to provide visibility into automation and tooling performance. ## Related Videos - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Your next 10x engineer isn't in your city. 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