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Platform Engineer – Cloud Infrastructure & Reliability

Roles & Responsibilities

  • BS in Computer Science, Computer Engineering, Information Technology or other computer-related discipline.
  • Experience with one or more IaaS/PaaS solutions (e.g. Heroku/AWS/GCP/Azure).
  • Proficiency in one or more scripting languages (e.g. Ruby/Python/Go).
  • Exposure to Infrastructure as Code technologies (e.g. Terraform/Ansible/Salt).

Requirements:

  • Build infrastructure for various environments (Heroku, AWS) using a variety of tools.
  • Build observability tools to allow our development team to better understand the system, identify bottlenecks, assess, and mitigate risks and vulnerabilities.
  • Contribute to the migration of applications and infrastructure from Heroku to AWS, with a focus on reliability, performance, and smooth transitions.
  • Participate in an on-call rotation to respond to production incidents and to reduce MTTR and achieve SLA/SLO/SLI targets.

Job description

About this Job

You’ll be joining the Engineering team responsible for delivering PacerPro’s SaaS and on-premise solutions that orchestrate case data workflows and provide data driven legal insights for our clients. You will work closely with the product team, spearheading improvements to  the availability, latency, performance, capacity, security, and observability of our cloud solutions. You will be responsible for ensuring uninterrupted service for PacerPro customers and enabling fast delivery of high-quality software by the product team. As an early member of the SRE team, you will have ample opportunity to learn and grow with the team.

Responsibilities
  • Gain a solid understanding of our deployment and network architecture.
  • Build infrastructure for various environments (Heroku, AWS) using a variety of tools.
  • Build observability tools to allow our development team to better understand the system, identify system bottlenecks, assess, and mitigate risks and vulnerabilities.
  • Strive for automation of operational tasks to reduce repetitive manual work and human error.
  • Contribute to the migration of our applications and infrastructure from Heroku to AWS, with a focus on reliability, performance, and smooth transitions.
  • Participate in an on-call rotation to respond to production incidents and to reduce MTTR and achieve SLA/SLO/SLI targets.
  • Participate in incident postmortems and perform root cause analysis.
  • Participate with cross-department stakeholders in the implementation of IT and Engineering policies for SOC2 compliance.
  • Adhere to best practices in coding standards, code test coverage, code reviews, CI/CD, and documentation.
  • Our tech stack is varied - you will start with Heroku, AWS, Sidekiq, LogEntries, New Relic, Twilio SendGrid, CloudMailin, Ruby/Rails, Postgres, Redis, and more.

  • Qualifications
  • BS in Computer Science, Computer Engineering, Information Technology or other computer-related discipline.
  • Experience in system design, iterative development and deployment of new services.
  • Experience using one or more IaaS/PaaS solutions (eg: Heroku/AWS/GCP/Azure)Proficiency in one or more scripting languages (eg: Ruby/Python/Go).
  • Knowledge of Linux OS capabilities.
  • Exposure to one or more Infrastructure as Code technologies (eg: Terraform/Ansible/Salt).
  • Experience with one or more observability technologies (eg: LogEntries/NewRelic/Rollbar/Prometheus/Grafana/Datadog/Zabbix).
  • Experience with CI/CD systems (e.g.: CircleCI/Jenkins/Github/Gitlab CI).
  • Ability to effectively communicate and collaborate with both technical and non-technical team members.
  • Flair for startup work style.
  • Experience with relational databases at scale is a plus.
  • Experience with Docker and Kubernetes clusters is a plus.
  • About PacerPro

    PacerPro's mission is to empower better decision making and stronger institutions by making facts, the bedrock of legal analysis, readily and easily accessible. Launched in 2014 as a simple overlay to the PACER system, today our service is the standard for integrating federal court data into workflow and knowledge systems for BigLaw and leading litigation boutiques. This success is due to innovative technology matched with best-in-class customer success and deployment teams.

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