Senior Site Reliability Engineer (SRE)

People Data Labs; United States; Remote; USD 160,000 - 180,000; Full time

Job summary

A leading data solutions provider in the United States is looking for a Platform Engineer to enhance AWS infrastructure and develop CI/CD pipelines. Candidates should have extensive software development experience, particularly with Python and AWS. This role offers great autonomy, competitive salary, and an assortment of perks.

Benefits

Stock

Unlimited paid time off

Health, fitness, and office stipends

Permanent remote work flexibility

Qualifications

• 5-7+ years of software development experience, especially in platform or cloud infrastructure.
• 3+ years of experience with Python in production.
• Strong experience with AWS services including EC2 and Lambda.

Responsibilities

• Manage and improve AWS and data center infrastructures.
• Design and maintain CI/CD pipeline.
• Assist teams in resolving scaling issues.

Skills

Software development experience

Python

AWS

Infrastructure-as-code

Strong written communication

Education

Degree in a quantitative discipline

Tools

ElasticSearch

Docker

GitHub Actions

Job description

Note

Note for all engineering roles: With the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them.

About Us

People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL’s workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more.

We are looking for individuals who can balance extreme ownership with a “one-team, one-dream” mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Platform Engineering Team oversees the foundational work that the rest of our engineering teams build their success upon.

You will be crucial in accelerating our efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale. In this role, you will be working with a team, defining tools and infrastructure that facilitate big data processing, primarily within AWS.

If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you. We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it.

What You Get To Do

• 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

The Technical Chops You\'ll Need

• 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 experience including EC2, Lambda, OpenSearch, API Gateway, ALB, and others
• 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 and logging
• Experience with build and deploy systems, architecting and developing CI/CD infrastructure, repo management, and integrating with tools like GitHub Actions (or similar)

People Thrive Here Who Can

• Balance high ownership and autonomy with a strong ability to collaborate
• Can work effectively remotely and proactively manage blockers
• Strong written communication skills on Slack/Chat and in documents
• Can scope and breakdown projects and communicate progress and blockers effectively

Some Nice To Haves

• 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 with developer-oriented data pipelines and workflow orchestration (e.g., Airflow, dbt, dagster, or similar)
• Experience with streaming platforms (e.g., Kafka)
• Experience evaluating data quality and maintaining high standards across new feature releases
• Experience using Databricks or similar data-development platforms
• Experience managing hybrid environments split between local datacenters and AWS

Great people make great teams. We believe in building highly functional, energetic, and engaging teams to serve our customers. People, Customers, Shareholders, in that order, sets us up for success and delivering on our promises.

• Stock
• Unlimited paid time off
• Health, fitness, and office stipends
• The permanent ability to work wherever and however you want

Comp: $160K - $180K

No C2C, 1099, or Contract-to-Hire. Recruiters need not apply.

People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Legal and Privacy Voluntary self-identification and equal opportunity statements apply as described in the job posting.