

DeepIntent
https://deepintent.com/careersAbout
DeepIntent is the leading independent healthcare marketing technology company built purposefully to influence patient health and business outcomes. The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform. DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data.
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Candid answers by the company
The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform.
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Jobs at DeepIntent

What You’ll Do:
- Setting up formal data practices for the company.
- Building and running super stable and scalable data architectures.
- Making it easy for folks to add and use new data with self-service pipelines.
- Getting DataOps practices in place.
- Designing, developing, and running data pipelines to help out Products, Analytics, data scientists and machine learning engineers.
- Creating simple, reliable data storage, ingestion, and transformation solutions that are a breeze to deploy and manage.
- Writing and Managing reporting API for different products.
- Implementing different methodologies for different reporting needs.
- Teaming up with all sorts of people – business folks, other software engineers, machine learning engineers, and analysts.
Who You Are:
- Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
- 3.5+ years of experience in building and running data pipelines for tons of data.
- Experience with public clouds like GCP or AWS.
- Experience with Apache open-source projects like Spark, Druid, Airflow, and big data databases like BigQuery, Clickhouse.
- Experience making data architectures that are optimised for both performance and cost.
- Good grasp of software engineering, DataOps, data architecture, Agile, and DevOps.
- Proficient in SQL, Java, Spring Boot, Python, and Bash.
- Good communication skills for working with technical and non-technical people.
- Someone who thinks big, takes chances, innovates, dives deep, gets things done, hires and develops the best, and is always learning and curious.
What you'll do:
- Mandatory - Experience & hands-on experience in setting up, optimizing, and securing analytical distributed data sources such as ClickHouse, Druid, or similar distributed database systems. Intermidiate DBA skills required.
- Deploy, configure, and maintain Kubernetes clusters for our microservices architecture.
- Utilize Git and Helm for version control and deployment management.
- Implement and manage monitoring solutions using Prometheus and Grafana.
- Work on continuous integration and continuous deployment (CI/CD) pipelines.
- Containerize applications using Docker and manage orchestration.
- Manage and optimize AWS services, including but not limited to EC2, S3, RDS, and AWS CDN.
- Maintain and optimize MySQL databases, Airflow, and Redis instances.
- Write automation scripts in Bash or Python for system administration tasks.
- Perform Linux administration tasks and troubleshoot system issues.
- Utilize Ansible and Terraform for configuration management and infrastructure as code.
- Demonstrate knowledge of networking and load-balancing principles.
- Collaborate with development teams to ensure applications meet reliability and performance standards.
Additional Skills (Good to Know):
- Familiarity with ClickHouse and Druid for data storage and analytics.
- Experience with Jenkins for continuous integration.
- Basic understanding of Google Cloud Platform (GCP) and data center operations.
Who you are:
- Minimum 3 years of experience in a Site Reliability Engineer role or similar.
- Proven experience with Kubernetes, Git, Helm, Prometheus, Grafana, CI/CD, Docker, and microservices architecture.
- Strong knowledge of AWS services, MySQL, Airflow, Redis, AWS CDN.
- Proficient in scripting languages such as Bash or Python.
- Hands-on experience with Linux administration.
- Familiarity with Ansible and Terraform for infrastructure management.
- Understanding of networking principles and load balancing.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
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