Software Engineer, Core Platforms
Bot Auto
Houston, TX, United States
27 days ago
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Role details
Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Working hours
Regular working hours
Job source
Tech stack
OpenTofu
Java (Programming Language)
JavaScript (Programming Language)
Airflow
Amazon Web Services
Microsoft Azure
Continuous Integration
Linux
DevOps
Distributed Systems
Python (Programming Language)
Message Queuing Telemetry Transport (MQTT)
+23 more
Networking Basics
RabbitMQ
Ansible
Prometheus
Runbook
Software Engineering
TypeScript
Data Logging
Pulumi
Large Language Models
Grafana
Git
Kubernetes
Information Technology
Rancher
Apache Kafka
Machine Learning Operations
Api Gateway
Terraform
Stream Processing
Data Pipelines
Docker
Golang
Job description
- Contribute to the development and operation of our Kubernetes-based platforms, including features for scheduling, autoscaling, and internal platform tooling.
- Write and maintain infrastructure-as-code (e.g., Terraform, Ansible) for on-prem, cloud, and Kubernetes environments, following team standards and reviews.
- Help build and support workflow platforms that run data pipelines, simulation jobs, ML pipelines, and CI/CD.
- Assist in deploying and operating self-hosted LLMs and agentic workflows used for internal automation.
- Support the operation of API gateways and messaging/streaming systems (including MQTT), handling configuration, upgrades, and troubleshooting.
- Build dashboards, alerts, and logging integrations that improve visibility into platform health.
- Help track infrastructure costs and implement optimizations identified with senior engineers.
- Participate in on-call rotations, incident response, and post-incident reviews, with support from experienced teammates.
- Write clear documentation and runbooks, and help internal users adopt platform services.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 0-2 years of experience in software engineering, platform engineering, DevOps, or SRE (internships, co-ops, and substantial personal or open-source projects count)
- Solid programming skills in at least one of: Python, Go, Java, JavaScript/TypeScript
- Working knowledge of Linux, networking fundamentals, Git, and containers (Docker)
- Eagerness to learn, take feedback, and own tasks from start to finish, * Hands-on exposure to Kubernetes (EKS, GKE, AKS, RKE2/Rancher, or a local setup like kind/minikube)
- Experience with AWS, GCP, or Azure, from coursework, projects, or work
- Familiarity with an IaC tool such as Terraform, Pulumi, OpenTofu, or Ansible
- Exposure to workflow orchestration tools such as Argo Workflows or Airflow
- Interest or project experience in running LLMs or building agent-based automation
- Familiarity with messaging/streaming systems (NATS JetStream, Kafka, Pulsar, RabbitMQ) or API gateways (Kong, APISIX)
- Experience using Prometheus, Grafana, Loki, OpenTelemetry, or similar observability tools
- Interest in cost-aware engineering and infrastructure efficiency
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