Devops Engineer
Posted on 12/30/2022
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Development Operations (DevOps)
  • 7+ years of production experience in either a high uptime or high throughput cloud environment
  • Strong team player collaborating with your team members & cross functional team to address the business needs
  • 2+ years of AWS experience across a range of services including EC2, Auto Scaling, Lambda, RDS
  • Strong problem solver with critical thinking skills
  • Self-starter who collaborates well and has a strong sense of urgency to resolve production issues
  • Strong communication skills to work and share knowledge with other team members
  • DevOps and automation mindset
  • Operational experience with Apache products
  • Experience deploying and managing big data pipeline systems (Elasticsearch, Spark, Kafka, NiFi)
  • Familiarity working with multiple programming languages and runtimes for application containerization and deployment (Java, Scala, NodeJS, Python)
  • Systems administration experience with Linux running on AWS services
  • Experience administering CI/CD and build tools like CircleCI or AWS CodeBuild, as well as working with artifact storage platforms
  • Experience in writing scripts in Python and Bash to support automation efforts
  • Experience with container orchestration platforms (Elastic Container Service, Kubernetes) is highly desirable
  • Expertise in infrastructure capacity planning, AWS cost management using tools like Cloudhealth
  • Comfortable with being on-call and able to resolve issues in a timely manner
  • Familiarity with monitoring toolsets like DataDog or Dynatrace
  • Competitive salary based on the work you do
  • Flexible time off - work with your manager to take the time you need
  • Excellent medical, dental, and vision coverage
  • Paid parental leave plan
  • Professional development and growth programs
  • A tight knit, collaborative, and transparent environment to help you succeed
  • Cloud infrastructure: Management and optimization of cloud computing resources using Infrastructure as Code and best practices
  • Integration engineering: Support the software development life cycle (SDLC) to continuously integrate, test, and build code regularly and efficiently, progressing code from local environments to production with ability to roll back
  • Release engineering: Contribute to unified tooling and methodology for CI/CD and increasing production delivery
  • Scaling and performance tuning: Benchmark, scale and tune application and data services based on testing with identified tools or code written in-house (Note: tuning involves systems kernel parameters, data service options, etc. Not software changes)
  • Software Configuration Management: Architecting and maintaining environment specific configuration management for applications
  • Cloud security: Contribute to security operations for application development and cloud resources, including assessing impact to current systems
  • Create and leverage dashboards populated with time series data to capture the state of our applications
  • Work cross functionally to support your internal customers
Zignal Labs

51-200 employees

Real-time intelligence data platform
Company Overview
Zignal Labs is on a mission to help the world’s largest organizations protect their people, places, and position. Zignal’s AI-powered platform analyzes billions of data points in real time, accelerating mission critical decision making by empowering leaders with contextual situational awareness of the information environment.
  • Competitive salary
  • Flexible PTO
  • Medical, dental, & vision coverage
  • Paid parental leave
  • Professional development & growth programs
Company Core Values
  • Customer first
  • Nothing is Impossible
  • Collaborative Excellence
  • Grit & Resilience
  • Work hard, have fun, make history