Offer summary

Qualifications:

5+ years of experience in software engineering with a focus on backend systems and platform engineering., Proficiency in programming languages such as Go, Python, or Java, and experience with infrastructure-as-code tools like Terraform., Deep understanding of cloud computing environments including GCP, AWS, and Azure, along with containerization technologies like Docker and Kubernetes., Experience with observability tools and familiarity with data infrastructure supporting ML workloads..

Key responsibilities:

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 and optimize ML/NLP workloads.

Lead initiatives to improve system reliability and contribute to architecture decisions as the platform scales.

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