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Full-Time

Senior Platform Engineer

Posted on 6/27/2024

Alethea

Alethea

51-200 employees

Provides machine learning disinformation defense platform

AI & Machine Learning
Cybersecurity

Compensation Overview

$134k - $196kAnnually

+ Stock Options + Salary Adjustments + Stock Option Grants

Senior, Expert

Washington, DC, USA + 1 more

Category
DevOps & Infrastructure
Platform Engineering
Cloud Engineering
DevOps Engineering
Required Skills
TCP/IP
Chef
Bash
Kubernetes
Microsoft Azure
Agile
Python
Puppet
MySQL
Git
Apache Kafka
Docker
Quality Assurance (QA)
AWS
JIRA
Terraform
Redis
Ansible
Confluence
Development Operations (DevOps)
CircleCI
Splunk
Snowflake
Google Cloud Platform
Requirements
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Proven production experience (2+ years) as a DevOps/Systems/Infrastructure/SRE Engineer.
  • Minimum 7 years professional experience working in production environments.
  • 2+ years experience in deploying and managing Kubernetes clusters in production environments, including experience with cluster provisioning, configuration, application deployments, Helm, and optimization.
  • Proficiency in scripting languages (e.g., Bash, Python) and experience with automation tools like Ansible, Chef, or Puppet.
  • Hands-on experience with cloud platforms and orchestration systems such as AWS, Azure, or Google Cloud Platform, and knowledge of cloud-native services (e.g., EKS, RDS, Lamda, ECR, IAM) and (e.g. OpenTofu, Terraform, CloudFormation).
  • Strong understanding of containerization technologies (Docker, containerd, rkt) and container orchestration concepts (pod scheduling, service discovery, load balancing).
  • Familiarity with CI/CD pipelines, version control systems (Git), and collaboration tools (Gitlab, Azure Devops, Jira, Confluence, Slack).
  • Familiar with database and messaging systems. (e.g., MySql, PostsqesQL, SnowFlake, Redis, Kafka)
  • Solid understanding of networking principles, TCP/IP stack, and experience with software-defined networking (SDN) solutions.
  • Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems and microservices architectures.
  • Effective communication skills and the ability to collaborate with cross-functional teams in a fast-paced, Agile environment.
Responsibilities
  • Design, deploy, and maintain Kubernetes clusters across multiple environments to support containerized workloads.
  • Develop automation scripts and CI/CD pipelines using tools like GitHub Actions, Bitbucket Pipelines, GitLab CI, or CircleCI to streamline deployment processes.
  • Implement infrastructure as code solutions using Terraform, Helm, Ansible, or similar tools to provision and manage cloud resources on platforms such as AWS, Azure, or Google Cloud Platform.
  • Collaborate with software engineers to containerize applications, optimize Docker images, define Helm charts, and Terraform for maintaining and configuring cloud deployments.
  • Troubleshoot production issues, perform root cause analysis, and implement preventive measures to minimize downtime and ensure high availability.
  • Implement auto scaling technologies, such as ASG, HPA, Karpenter, KubeRay.
  • Proactively monitor the health and performance of Kubernetes clusters and applications using monitoring and logging tools like Prometheus, Grafana, Loki, ELK Stack, or Splunk.
  • Implement security best practices and enforce policies for network segmentation, access control, and container runtime security to protect infrastructure and data.
  • Stay updated on emerging technologies and industry trends in infrastructure, cloud computing, and containerization to propose innovative solutions and optimize infrastructure.
  • Identify issues and gaps, plan projects, and execute them effectively.
  • Collaborate with cross-functional teams including software development, QA, and IT operations to align DevOps practices with business objectives and project requirements.
  • Provide technical guidance and mentorship to members of the engineering team, and facilitate knowledge sharing through documentation and training sessions.

Alethea offers Artemis, a multi-channel machine learning platform that detects disinformation narratives across the internet, providing proactive defense against this pervasive threat. Artemis conducts multichannel analysis across billions of data points to identify disinformation and social media manipulation at its inception, tailoring insights to organizations and offering actionable solutions to protect their brand and bottom line.

Company Stage

Series B

Total Funding

$30M

Headquarters

Maple Grove, Minnesota

Founded

2019

Growth & Insights
Headcount

6 month growth

24%

1 year growth

24%

2 year growth

93%
INACTIVE