Software Engineer

Role Overview

• Design, develop, and maintain secure, scalable distributed systems and cloud-native microservices utilizing Golang and Red Hat OpenShift across multi-cloud platforms (AWS, GCP, and Azure).
• Engineer and deploy advanced Python and Bash scripts (utilizing grep, awk, sed) to automate Linux (RHEL/Fedora) administration and operational workflows.
• Architect and manage sophisticated Continuous Delivery (CD) pipelines using Tekton (OpenShift Pipelines) to automate containerized application build and deployments.
• Implement Infrastructure as Code and GitOps (Argo CD) to automate cloud resource provisioning and ensure environment consistency.
• Monitor and optimize system observability and performance using Splunk and Grafana, executing load tests to ensure proactive issue resolution.
• Architect database solutions by modeling PostgreSQL (relational) and MongoDB (NoSQL) structures, integrating cloud storage (S3) for persistent data.
• Govern enterprise version control using Git, GitHub and GitLab, enforcing complex branching/merging strategies and maintaining repository integrity.
• Develop and deploy AI/ML applications and MLOps workflows using Red Hat OpenShift AI, including RAG and Large Language Models (LLMs).
• Perform SRE functions and technical support within an enterprise environment, utilizing Agile methodologies (Kanban) to troubleshoot and resolve full-stack issues.
• Produce technical documentation, architecture diagrams, and best practices for system design, development, and cloud-native operations.

Requirements

• Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Systems or related field and four (4) years of experience in the job offered or related role.
• Must have four (4) years of experience with: container orchestration using Kubernetes and Red Hat OpenShift, including Docker and Dockerfile development; Continuous Delivery (CD) pipelines using tools; system observability and performance monitoring using Splunk and Grafana; Golang for developing microservices and REST API web services across cloud platforms; relational database modeling using PostgreSQL, NoSQL, and integration with cloud storage; version control management using Git, GitHub and GitLab, including branching and merging strategies; and SRE and technical support within an enterprise organization utilizing Agile methodologies.
• Must have two (2) years of experience with: Linux system administration and automation using Bash and Python scripting; Infrastructure as Code and GitOps for cloud resource automation; and MLOps and AI/ML application deployment using Red Hat OpenShift AI, including RAG and Large Language Models (LLMs).

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Docker
• Google Cloud Platform
• Grafana
• Kubernetes
• Linux
• Microservices
• MongoDB
• NoSQL
• OpenShift
• Postgres
• Python
• Splunk
• Go

Benefits

• Bonus
• Commission
• Equity