Zepl
Why consider this job opportunity
Competitive pay with a focus on employee well‑being.
Comprehensive benefits package including Medical, Dental & Vision insurance, Flexible Time Off Program, and Paid Parental leave.
Opportunity for career advancement and growth within the organization.
Work in a collaborative environment that encourages innovation and high standards.
Chance to make a significant impact on the development of scalable AI applications.
What to Expect (Job Responsibilities)
Architect, build, and lead backend services that scale to handle large workloads and high concurrency.
Design and implement autoscaling strategies, dynamic resource allocation, and load balancing.
Optimize end‑to‑end request pipelines for latency, throughput, reliability, and correctness.
Monitor and profile production systems; troubleshoot performance issues and tune services.
Collaborate with ML/AI teams to ensure model serving pipelines maintain accuracy and performance.
What is Required (Qualifications)
7+ years of backend engineering experience building scalable, high‑performance distributed systems.
Strong experience with performance optimization techniques such as profiling and latency tuning.
Deep knowledge of autoscaling, resource management, and load balancing.
Proficient programming skills in one or more backend languages (e.g., Python, Java, Go, C++).
Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments.
How to Stand Out (Preferred Qualifications)
Experience with AI/ML model deployment, serving, and production integration.
Familiarity with Generative AI and serving large language models (LLMs).
Exposure to on‑prem delivery models or regulated environments.
Experience with Docker and building containerized applications.
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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What to Expect (Job Responsibilities)
Architect, build, and lead backend services that scale to handle large workloads and high concurrency.
Design and implement autoscaling strategies, dynamic resource allocation, and load balancing.
Optimize end‑to‑end request pipelines for latency, throughput, reliability, and correctness.
Monitor and profile production systems; troubleshoot performance issues and tune services.
Collaborate with ML/AI teams to ensure model serving pipelines maintain accuracy and performance.
What is Required (Qualifications)
7+ years of backend engineering experience building scalable, high‑performance distributed systems.
Strong experience with performance optimization techniques such as profiling and latency tuning.
Deep knowledge of autoscaling, resource management, and load balancing.
Proficient programming skills in one or more backend languages (e.g., Python, Java, Go, C++).
Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments.
How to Stand Out (Preferred Qualifications)
Experience with AI/ML model deployment, serving, and production integration.
Familiarity with Generative AI and serving large language models (LLMs).
Exposure to on‑prem delivery models or regulated environments.
Experience with Docker and building containerized applications.
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr