Hybrid Platform Engineer, Parse.ly Platform Engineer, Parse.ly with verification

With 40% year-on-year growth, we are expanding our team and looking for engineers to join us.

Platform Engineering

The platform team is responsible for designing, implementing, and maintaining the development solutions for the Parse.ly real-time analytics systems. The team applies DevOps and SRE practices such as Infrastructure-as-code, automation, pervasive monitoring/alerting, and close collaboration with application engineers. The team works with the Parse.ly Backend, Frontend, and Machine Learning Engineers and owns Parse.ly’s distributed cloud environment. This environment involves 400+ servers running in 9 Availability Zones and 3 Regions in Amazon Web Services (AWS). It also includes AWS-managed services such as RDS, EMR, ElastiCache, and Athena.

Parse.ly’s platform engineering team already makes use of technologies like CI/CD, Ansible, Terraform, Nomad, Docker, and AWS services to maintain Parse.ly’s infrastructure and security.

Our platform engineers:

• Implement and manage infrastructure as code practices using Terraform and Ansible to automate the provisioning and configuration of resources. Ensure scalability and reliability of our cloud infrastructure platform AWS.
• Develop and maintain monitoring and observability solutions using tools like Datadog, Grafana, log management, and traces to track platform performance and health, and report on enhancements to key Service-Level Objectives (SLOs)
• Design and maintain CI/CD pipelines to automate the build, test, and deployment processes with GitLab CI.
• Work with developers to establish practices for deploying and managing apps. Help them use containerization tech such as Docker and Nomad for reliable and scalable app deployment.
• Gain operational expertise for core data infrastructure technologies, including Amazon S3, Kafka, Zookeeper, Storm, Cassandra, Elasticsearch, Redis, Postgres, and Spark.
• Participate in the team’s on-call rotation.

Parse.ly Technology Stack

We currently adopt the following technologies across the Parse.ly platform:

• Python & JavaScript
• Amazon Web Services (AWS)
• Databases like Elasticsearch, Redis, Cassandra, and Postgres
• Frameworks like Django, FastAPI, and the PyData stack (e.g. Pandas)
• Kafka, Storm, Spark in production atop large data sets (terabytes per day)
• System management with Ansible, Terraform, and Nomad
• Containerized workloads and services