Verified Job
Hardware / Network Engineer
Senior Platform Engineer- job post
Hardware / Network Engineer
#766990
Remote / WFH
Komodo Health
Job Description
Looking back on your first 12 months at Komodo Health, you will have…
Have developed a deep understanding of Platform and Platform customers
Have built and operated cloud infrastructure (AWS) based on customer requirements
Have solved any development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost effective
Have participated in the development, execution, and support of the new feature rollout with solution architects, forward-deployed engineers, and customer success teams
Have developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
Have hardened infrastructure security including network, storage, user access, etc.
Have responded and solved key customer reported issues in a timely manner
Participated in an on-call rotation
Spearheaded the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce mean time to resolution (MTTR).
Architected and deployed custom MCP (Model Context Protocol) tooling and autonomous agents, enabling seamless data interoperability between internal systems and AI models to automate complex platform engineering tasks
What you bring to Komodo Health:
Engineering Excellence: Proficiency in Python or Rust, with deep technical troubleshooting skills and extensive experience building backend APIs and microservices.
Cloud Infrastructure: Expert-level knowledge of AWS core services and the ability to architect scalable solutions from high-level requirements.
Kubernetes & Orchestration: Hands-on experience managing the "care and feeding" of Kubernetes clusters (upgrades, Service Mesh/Istio, Helm) and scaling compute services using ArgoCD and Argo Rollouts.
Infrastructure as Code & CI/CD: Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions or Jenkins.
Networking & Connectivity: Solid understanding of networking fundamentals (subnets, CIDR, VPCs) to ensure secure, global application accessibility.
Data Frameworks: Familiarity with big-data tools and workflow orchestrators such as Snowflake, Airflow, and Spark.
AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity.
Have developed a deep understanding of Platform and Platform customers
Have built and operated cloud infrastructure (AWS) based on customer requirements
Have solved any development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost effective
Have participated in the development, execution, and support of the new feature rollout with solution architects, forward-deployed engineers, and customer success teams
Have developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
Have hardened infrastructure security including network, storage, user access, etc.
Have responded and solved key customer reported issues in a timely manner
Participated in an on-call rotation
Spearheaded the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce mean time to resolution (MTTR).
Architected and deployed custom MCP (Model Context Protocol) tooling and autonomous agents, enabling seamless data interoperability between internal systems and AI models to automate complex platform engineering tasks
What you bring to Komodo Health:
Engineering Excellence: Proficiency in Python or Rust, with deep technical troubleshooting skills and extensive experience building backend APIs and microservices.
Cloud Infrastructure: Expert-level knowledge of AWS core services and the ability to architect scalable solutions from high-level requirements.
Kubernetes & Orchestration: Hands-on experience managing the "care and feeding" of Kubernetes clusters (upgrades, Service Mesh/Istio, Helm) and scaling compute services using ArgoCD and Argo Rollouts.
Infrastructure as Code & CI/CD: Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions or Jenkins.
Networking & Connectivity: Solid understanding of networking fundamentals (subnets, CIDR, VPCs) to ensure secure, global application accessibility.
Data Frameworks: Familiarity with big-data tools and workflow orchestrators such as Snowflake, Airflow, and Spark.
AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity.
