DevOps Engineer
To see similar active jobs please follow this link: Remote System Administration jobs
About Us
At Pagos, we’re passionate about empowering businesses to take control of their payments stack and solve the puzzles standing between them and optimized growth. Our global platform provides developers, product teams, and payments leaders with both a deeper understanding of their payments data and access to new payments technology through user-friendly tools that are easy to implement. To succeed in this, we need creative thinkers who are willing to roll up their sleeves and start building alongside us.
About the Role
As a DevOps Engineer, you’ll bridge the gap between operations and development, and ensure the seamless integration of new projects and tools. You’ll drive the scaling and efficiency of our data infrastructure to support our growth. Doing so will require collaboration with backend engineers, data analysts, and others; it will be your responsibility to ensure these teams can work efficiently and have the proper infrastructure necessary to deliver products to our customers today and in the future. Growing fast is all great, but it also means our systems need to support constantly increasing load and volume.
We’re seeking an action-oriented and collaborative problem solver who thrives in ambiguity and can take on new challenges with optimism in a fast-moving environment. We value team members who are not only skilled in their area of expertise but are also perpetual learners who are committed to growth and contributing to our collective success.
In this role, you will:
Maintain and improve our infrastructure for scale, availability, and performance
Ensure we are safe and secure against cybersecurity threats, and also stay compliant with industry requirements
Serve as a key resource to our engineers and analysts for projects, including building and implementing necessary infrastructure
Help ensure our software engineers, machine learning engineers, and analysts can work efficiently and improve the development and release processes
Test and examine systems written by others and analyzing results
Play a key role in integrating and setting up connections with data providers and internal teams
Drive projects from start to finish with a high level of ownership and autonomy
What We’re Looking For
We’re looking for someone with:
8+ years of devops experience working with infrastructures for big data workloads
Deep understanding of AWS product offering and services
Experience with Kubernetes, Docker, orchestration tools, ETL/ELT frameworks, and common data transfer protocols
Experience maintaining and setting up CI/CD pipelines
Proficiency with Terraform, Git, and GitHub workflows
Working knowledge of databases and SQL (e.g. Redshift, Apache Iceberg, Postgres, ElasticSearch, Clickhouse, and Redis)
A bias for action and a problem-solving attitude
Nice to haves:
Experience supporting the training and management of machine learning models
Experience working with big data
Comfort and/or past experience working with Airflow, DBT, Apache Spark, Apache Kafka, Redshift, Grafana
Experience working in high-growth, venture-backed startup(s)
Experience setting up and maintaining Pagerduty, ensuring operation uptime
Pagos does not accept unsolicited resumes from third-party recruiting agencies. All interested candidates are encouraged to apply directly.
DevOps Engineer
To see similar active jobs please follow this link: Remote System Administration jobs
About Us
At Pagos, we’re passionate about empowering businesses to take control of their payments stack and solve the puzzles standing between them and optimized growth. Our global platform provides developers, product teams, and payments leaders with both a deeper understanding of their payments data and access to new payments technology through user-friendly tools that are easy to implement. To succeed in this, we need creative thinkers who are willing to roll up their sleeves and start building alongside us.
About the Role
As a DevOps Engineer, you’ll bridge the gap between operations and development, and ensure the seamless integration of new projects and tools. You’ll drive the scaling and efficiency of our data infrastructure to support our growth. Doing so will require collaboration with backend engineers, data analysts, and others; it will be your responsibility to ensure these teams can work efficiently and have the proper infrastructure necessary to deliver products to our customers today and in the future. Growing fast is all great, but it also means our systems need to support constantly increasing load and volume.
We’re seeking an action-oriented and collaborative problem solver who thrives in ambiguity and can take on new challenges with optimism in a fast-moving environment. We value team members who are not only skilled in their area of expertise but are also perpetual learners who are committed to growth and contributing to our collective success.
In this role, you will:
Maintain and improve our infrastructure for scale, availability, and performance
Ensure we are safe and secure against cybersecurity threats, and also stay compliant with industry requirements
Serve as a key resource to our engineers and analysts for projects, including building and implementing necessary infrastructure
Help ensure our software engineers, machine learning engineers, and analysts can work efficiently and improve the development and release processes
Test and examine systems written by others and analyzing results
Play a key role in integrating and setting up connections with data providers and internal teams
Drive projects from start to finish with a high level of ownership and autonomy
What We’re Looking For
We’re looking for someone with:
8+ years of devops experience working with infrastructures for big data workloads
Deep understanding of AWS product offering and services
Experience with Kubernetes, Docker, orchestration tools, ETL/ELT frameworks, and common data transfer protocols
Experience maintaining and setting up CI/CD pipelines
Proficiency with Terraform, Git, and GitHub workflows
Working knowledge of databases and SQL (e.g. Redshift, Apache Iceberg, Postgres, ElasticSearch, Clickhouse, and Redis)
A bias for action and a problem-solving attitude
Nice to haves:
Experience supporting the training and management of machine learning models
Experience working with big data
Comfort and/or past experience working with Airflow, DBT, Apache Spark, Apache Kafka, Redshift, Grafana
Experience working in high-growth, venture-backed startup(s)
Experience setting up and maintaining Pagerduty, ensuring operation uptime
Pagos does not accept unsolicited resumes from third-party recruiting agencies. All interested candidates are encouraged to apply directly.