AIML - Sr. Software Engineer - AIML Observability
Description
Our observability solutions employ a variety of systems and services. We use existing and open-source systems when possible, but do not shy away from building new solutions ourselves. In this role, you will collaborate with a team of engineers to lead the design and development of observability solutions for AIML products and infrastructure. You will be responsible for providing technical guidance, sharing observability know-how, leveraging AI pipelines and mentoring the team to develop and deliver best-of-class solutions.
Minimum Qualifications
5+ years software engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and micro-services Strong coding skills in Go, Java, Python, C/C++ or Rust Demonstrated proficiency in AWS services such as EKS / Kubernetes, Amazon S3, networking, database and monitoring services Building observability systems for time series metrics, distributed tracing, logging and profiling and building telemetry data collection frameworks Excellent communication skills both oral and written Excellent interpersonal skills for collaborating across teams, stakeholders, and open source collaborators
Preferred Qualifications
Experience in building micro-services using public cloud infrastructure and/or extensive “private cloud” environment Proven experience in delivering very large-scale cloud-native distributed systems and platform infrastructure Experience with large scale observability visualization systems with knowledge of popular visualization tools like Grafana, Data Dog, and ELK stack Building large-scale alert management and notification systems Experience using popular machine learning algorithms, Gen AI/LLMs for AIOps Active open source project contributions
Average salary estimate
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