Senior Backend Engineer
Posted yesterday · 27 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
- At least 6 years of software development experience
- At least 2 years experience working with AWS services (Lambda, DynamoDb, Kinesis, S3, ECR, EMR, API Gateway)
- Python product development experience
- Familiarity with Big data platforms (Spark, Databricks, EMR, Snowflake, Trino, Flink, etc.)
- Experience with cloud data pipelines, deploying machine Learning models in production and MLE / AIOps best practices
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceWho We Are
Zipher is a well-funded, early-stage startup on a mission to reinvent how big data teams
interact with the cloud. Backed by top-tier investors and already powering global enterprise
customers in production, we’re building a cutting-edge platform that uses machine learning to
autonomously optimize cloud environments for data-intensive workloads.
We’re now looking for experienced Core Backend Engineers to join our growing engineering
group. We offer a meaningful, high-impact position with incredible growth opportunities and
diverse technological challenges in a fast paced startup environment.
If you love solving deep technical challenges, taking end-to-end ownership and building elegant
solutions that matter - you’ll fit right in.
What You’ll Do
• Own and build core backend systems that power Zipher’s cloud optimization platform
• Design and develop scalable, reliable services that integrate with complex cloud infrastructures and run at global scale
• Deliver optimization and automation features with clear, measurable impact on customer cost, performance, and reliability
• Lead technically, shaping architecture, mentoring engineers, and helping define Zipher’s engineering culture
Requirements
• At least 6 years of software development experience
• At least 2 years experience working with AWS services (Lambda, DynamoDb, Kinesis, S3, ECR, EMR, API Gateway) - Must
• Python product development experience - Advantage
• Familiarity with Big data platforms (Spark, Databricks, EMR, Snowflake, Trino, Flink,
• etc.) - Advantage
• Experience with cloud data pipelines, deploying machine Learning models in production
• and MLE / AIOps best practices - Advantage
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- At least 6 years of software development experience, At least 2 years experience working with AWS services (Lambda, DynamoDb, Kinesis, S3, ECR, EMR, API Gateway)