Trueml
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Work-Life Benefits
This is a foundational role within TrueML Products' Platform Operations team, designed for a high-energy technologist eager to rapidly advance their knowledge in a cloud-native environment. As a DevOps Engineer I, your critical goals will be to assist in the evolution of our internal developer platform and Infrastructure-as-Code (IaC) architecture, focusing on precision and efficiency.
The ideal candidate is a proactive learner who considers leveraging GenAI and AI code assistants second-nature for accelerating onboarding and completing well-defined tasks, but doesn’t rely on them as a substitute for solving problems.
You will not be focused solely on closing tickets, but rather on building self-service tools and platforms that reduce cognitive load for developers and increase deployment velocity.
What You'll Do:
Build small to medium-sized infrastructure components using Terraform and AWS.
Ensure reliable build-and-deploy cycles by maintaining and debugging CI/CD workflows, including GitHub Actions and ArgoCD.
Learn to troubleshoot and resolve issues in containerized environments, including Kubernetes pods and EKS networking bottlenecks.
Leverage GenAI and AI code assistants to accelerate your onboarding and complete well-defined automation tasks.
Validate AI-generated code for correctness and style according to team standards.
Contribute to system reliability by participating in the on-call rotation and swiftly responding to system alerts.
Utilize logging and observability tools (Datadog, Observe) to efficiently gather information during troubleshooting.
Own the quality of your work by testing and documenting your code, ensuring bug fixes are implemented reliably across all environments (dev, staging, production).
Engage actively in team ceremonies, including sprint planning and daily standups.
Clearly communicate project status and implementation details to the broader team.
Partner with senior engineers to understand and maximize the business and customer impact of your work.
Who You Are:
You possess a Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
You have 1–2 years of relevant experience in DevOps, SRE, or Software Engineering.
You are familiar with at least one programming language (Python, Go, or Bash) and basic Software Development Life Cycle (SDLC) practices.
You have general knowledge of cloud engineering (AWS) and containerization (Docker/Kubernetes).
You demonstrate a commitment to self-improvement and the "grit" necessary to follow through on challenging new tasks.
Ready to apply?
Apply to Trueml
Work-Life Benefits
What You'll Do:
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Building Data LakeHouse: In the Senior Data Engineer I role, you will design, build, and operate robust data lakehouse solutions utilizing open table formats like Apache Iceberg. Your focus will be on delivering a scalable, reliable data lakehouse with optimized query performance for a wide range of analytical workloads and emerging data applications.
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Pipeline and Transformation: Integrate with diverse source systems and construct scalable data pipelines. Implement efficient data transformation logic for both batch and streaming data, accommodating various data formats and structures.
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Data Modeling: Analyze business requirements and profile source data to design, develop, and implement robust data models and curated data products that power reporting, analytics, and machine learning applications.
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Data Infrastructure: Develop and manage a scalable AWS cloud infrastructure for the data platform, employing Infrastructure as Code (IaC) to reliably support diverse data workloads. Implement CI/CD pipelines for automated, consistent, and scalable infrastructure deployments across all environments, adhering to best practices and company standards.
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Monitoring and Maintenance: Monitor data workloads for performance and errors, troubleshooting issues to maintain high levels of data quality, freshness, and adherence to defined SLAs.
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Collaboration: Collaborate closely with Data Services and Data Science colleagues to drive the evolution of our data platform, focusing on delivering solutions that empower data users and satisfy stakeholder needs throughout the organization.
Required Qualifications:
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Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's degree is a plus).
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4+ years of hands-on engineering experience (software or data), with a strong emphasis of 2+ years in data-focused roles.
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Experience implementing data lake and data warehousing platforms.
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Strong Python and SQL skills applied to data engineering tasks.
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Proficiency with the AWS data ecosystem, including services like S3, Glue Catalog, IAM, and Secrets Manager.
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Experience with Terraform and Kubernetes.
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Track record of successfully building and operationalizing data pipelines.
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Experience working with diverse data stores, particularly relational databases.
You Might Also Have:
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Experience with Airflow, DBT and Snowflake.
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Certification in relevant technologies or methodologies.
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Experience with streaming processing technology e.g. Flink, Spark Streaming.
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Familiarity with Domain-Driven Design principles and event-driven architectures.
Ready to apply?
Apply to Trueml
Work-Life Benefits
What You'll Do
Who You Are:
Ready to apply?
Apply to Trueml
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