Description
We're a team in Developer Observability, focused on giving engineers the tools and insights they need to ship faster and smarter.
We are looking for an experienced Software Engineer to join our engineering team and help design, build, and maintain high-quality, scalable systems and data pipelines.
Responsibilities
- Contribute to end-to-end system design and participate in technical and architectural decisions.
- Build, maintain, and optimize Python-based services, engineering tools, and data pipelines.
- Work with data across the full lifecycle, including data extraction, transformation, and delivery.
- Develop and maintain workflow orchestration using Apache Airflow, including pipeline testing, monitoring, and reliability.
- Work with Snowflake as a data platform and dbt.
- Build and maintain CI/CD pipelines, deployment processes, and environment automation.
- Containerize and deploy applications using Docker and Kubernetes.
- Actively adopt and contribute to AI-assisted engineering and testing practices, using AI to improve development workflows, automation, and engineering productivity.
- Follow and contribute to engineering standards for code quality, testing, documentation, and development best practices.
- Collaborate with engineers, data teams, and stakeholders to design and deliver reliable, scalable solutions.
Requirements
- Bachelor's degree + 3 years of related experience, or Master's degree + 2 years of related experience.
- Hands-on experience with Python, including OOP, error handling, REST API integrations, and clean code practices.
- Good understanding of SQL and data engineering fundamentals.
- Familiarity with AI tools and technologies, with an interest in using AI to improve engineering workflows, automate repetitive tasks, and increase developer productivity.
- Solid understanding of Git and modern software development workflows.
- Experience building or maintaining CI/CD pipelines, preferably using GitLab CI.
- Good engineering fundamentals, including system design concepts, technical documentation, and architecture diagrams.
- Strong communication and collaboration skills, including participating in code reviews and working effectively with engineers and stakeholders.
Nice to Have
- Working knowledge of AWS services, such as IAM, S3, Glue, Athena, and MWAA/Airflow.
- Experience with cloud data platforms such as Snowflake or Redshift.
- Familiarity with observability and monitoring tools such as Prometheus, Splunk, or OpenTelemetry.
- Familiarity with Docker and Kubernetes.
- Experience with Terraform for infrastructure as code (IaC).
- Experience in developer productivity engineering, including improving engineering tooling and workflows and supporting the full software development lifecycle (SDLC).