Job Description
Diesel Labs is looking for a Senior Platform Engineer to join an early-stage team and contribute to data products that are shaping the future of the entertainment industry.
The ideal candidate for this role is skilled at planning, executing, and maintaining complex data infrastructures, including cross-functional collaboration with data analysts and business operations to ensure accurate and efficient data products. Key requirements include experience with infrastructure as code, setting up AWS services, docker containers, Kubernetes clusters, and supporting dev ops.
This is a great opportunity to join an experienced team entering a hot market at an early stage of the company.
About Diesel Labs
Diesel Labs is an audience intelligence company, delivering curated data and analytics for the modern media & marketing landscape. Diesel’s technology stack leverages AI & ML to organize and analyze billions of consumer data points from across the major social & video platforms daily. This powerful data set augments predictive models, advanced analytics, and content strategy efforts.
We analyze audience signals from all the major social and video platforms including (but not limited to): YouTube, TikTok, Facebook, Instagram, Reddit, Twitter/X and Bluesky. Our data solutions provide a comprehensive layer of insight that media companies depend on when making key content and marketing decisions in the effort to build better entertainment products.
Responsibilities and Qualifications
– 5+ years professional experience in backend/full-stack software engineering in high-performance environments
– Bachelor’s or Master’s in Computer Science, Engineering, or equivalent experience
– Strong foundation in data structures, algorithms, and software engineering principles with proficiency in Java or Python
– Proven experience designing scalable, high-performance systems and integrating large-scale distributed applications/microservices
– Hands-on expertise with AWS cloud services (Lambda, S3, ECS/EKS, SageMaker, Bedrock, etc.) and containerization/orchestration (Docker, Kubernetes)
– Experience with CI/CD pipelines, automation, and Infrastructure-as-Code (Terraform, Ansible, CloudFormation)
– Familiarity with Big Data technologies (Spark, Databricks, Hadoop, Kafka) for handling large-scale datasets
– Exposure to Generative AI platforms (OpenAI, Claude, Gemini, etc.), with experience in prompt engineering and/or frameworks like LangChain or LlamaIndex
*Bonus: Experience with Scala, PyTorch/TensorFlow, or multi-cloud (Azure/GCP) environments
The Diesel Engineering Team Environment
– Opportunity to be among the first engineers at an early stage startup
– Scala server side and Javascript (react) frontend. Open to the best technology for the problem.
– Deploy to AWS using Docker containers and Cloud Formation
– Data and machine learning pipeline is built on Spark
– Remote team
– As we grow, looking to build a culture of autonomy where engineers are encouraged to own problems end to end, develop specializations and share ownership
Benefits
– Full healthcare benefits
– Company 401k
– Generous PTO
