Senior Software Engineer, Platform

People Data Labs Logo

People Data Labs

πŸ’΅ $160k-$180k
πŸ“Remote - United States

Summary

Join People Data Labs (PDL), a leading provider of people and company data, as a Platform Engineer. You will play a crucial role in accelerating the development of standalone data products, working with a team to define tools and infrastructure for big data processing within AWS. This position requires managing and improving AWS and data center infrastructures, designing and maintaining CI/CD pipelines, and utilizing centralized monitoring and logging. You will assist development teams with scaling and bottlenecks, and collaborate on high-quality software development, balancing security, reliability, and operational concerns. The ideal candidate will have extensive experience in software development, cloud infrastructure engineering, and specific technologies like AWS, Python, and various data stores. PDL offers a unique work environment emphasizing collaboration, autonomy, and a culture of learning and growth.

Requirements

  • 5-7+ years of software development experience with a background in platform or cloud infrastructure engineering and clear examples of strategic technical problem-solving and implementation
  • 3+ years of experience with Python in a production environment
  • Strong software development fundamentals and system design experience
  • Strong experience with our core technologies (AWS, ElasticSearch / OpenSearch, Python, Docker, scaled data processing technologies)
  • AWS, including EC2, Lambda, OpenSearch, API Gateway, ALB, others
  • Data stores, including Postgres/MySQL, Dynamo, Redis, S3
  • Experience with Infrastructure-as-code (IaC) frameworks (e.g. Pulumi, Terraform, CloudFormation, or similar)
  • Experience with network design, including public/private availability, routing, firewalls/security groups, and VPN
  • Experience with Identity and Access Management
  • Experience with configuration management tools (e.g. Chef, Puppet, Ansible, etc)
  • Experience with observability tools such as Datadog for metrics, logging, etc
  • Experience with build and deploy systems, architecting and developing CI/CD infrastructure, repo management, and integrating with tools like Github Actions (or similar)
  • Balance high ownership and autonomy with a strong ability to collaborate
  • Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)
  • Strong written communication skills on Slack/Chat and in documents
  • Are experienced in writing data design docs (pipeline design, dataflow, schema design)
  • Can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders

Responsibilities

  • Manage and improve our growing AWS and data center infrastructures
  • Design, implement, and maintain a CI/CD pipeline to improve developer workflows
  • Utilize centralized monitoring and logging to improve visibility across the team
  • Assist development teams in solving issues around scaling and bottlenecks
  • Work with teammates to develop high-quality software, balancing security, reliability, and operational concerns

Preferred Qualifications

  • Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering
  • Expertise with Apache Spark (Java, Scala, and/or Python-based)
  • Experience with SQL Data Pipeline Development
  • Experience supporting developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster, or similar)
  • Experience with managing, deploying, and ensuring the reliability of streaming platforms (e.g., Kafka)
  • Experience evaluating data quality and maintaining consistently high standards across new feature releases (e.g., consistency, accuracy, validity, completeness)
  • Experience using Databricks or similar data-development platforms
  • Experience managing hybrid environments split between local datacenters and AWS; experience managing bare metal/co-location infrastructure

Benefits

  • Stock
  • Competitive Salaries
  • Unlimited paid time off
  • Medical, dental, & vision insurance
  • Health, fitness, and office stipends
  • The permanent ability to work wherever and however you want

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