Offer summary

Qualifications:

5+ years of experience as a software engineer focusing on backend systems and platform engineering., Proficiency in programming languages such as Go, Python, or Java., Experience with infrastructure-as-code tools like Terraform or Pulumi., Deep understanding of cloud environments (GCP, AWS, Azure) and containerization (Docker, Kubernetes)..

Key responsibilities:

Design, implement, and maintain scalable backend services and platform components.

Drive automation in infrastructure, CI/CD pipelines, and monitoring systems.

Collaborate with teams to deploy and optimize ML/NLP workloads.

Lead efforts to improve system reliability, scalability, and developer experience.

Job description

Requirements:

5+ years of experience as a software engineer with a focus on backend systems and platform engineering.
Proficiency in languages like Go, Python, or Java; experience with infrastructure-as-code (Terraform, Pulumi, etc.).
Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
Strong understanding of containerization and orchestration (Docker, Kubernetes).
Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).
Experience working on ML platforms or supporting ML workloads in production.
Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).

Responsibilities:

Proficiency in AI-assisted coding, able to do multiple tasks at once, and manage AI agents to quickly execute.
Design, implement, and maintain scalable and secure backend services and platform components.
Drive infrastructure automation, CI/CD, and monitoring/alerting pipelines.
Collaborate with product engineering and research teams to deploy, scale, and optimize ML/NLP workloads.
Lead initiatives to improve system reliability, scalability, and developer experience.
Contribute to architecture and infrastructure decisions as we scale our platform.
Champion best practices in code quality, testing, and DevOps culture across the team.

Required profile