Site Reliability Engineer

April 9

True Footage

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💰 $69.1M Series A on 2021-10

Description

• Minimum 3 years of professional experience working on complex infrastructure in a large-scale setting • Previous experience working in a core infrastructure role required • Strong Knowledge of containers/serverless management/configuration management at scale • Experience working with DevOps tooling at scale to support highly available Kubernetes services (experience with Terraform, Prometheus, Argo CI a plus) • Strong knowledge of distributed systems and consensus protocols in real-world applications • Strong knowledge of databases, understand the tradeoffs to choose the correct database for a given situation (SQL vs. NoSQL, linearizability, columnar vs. row-based, etc.) • Strong Knowledge of data pipelines, data warehousing, ELT/ETL, OLAP • Strong Knowledge of High-Performance Computing, Cluster Design, and MPP Architecture • Strong Knowledge of Distributed Computing • Strong Knowledge of *nix System Design across device OS’s • Strong Knowledge of Networking both on-prem and in the cloud and familiar with debugging networking-related issues • Strong Knowledge of Kubernetes cloud deployment (AWS and GCP experience preferred) • Experience with optimizing GPU-based cloud compute applications is a plus • Experience with MLOps or experience in machine learning is a plus • Experience with Gitlab CI a plus • You are great in ambiguous situations and able to proactively address potential issues before they turn into burning fires or outages • You take responsibility for your work and have a heightened sense of ownership • You iterate quickly, believe in constant and consistent improvement, and continuous learning • Excellent communication skills and pride in your ability to communicate and distill complex topics into succinct explanations.

Requirements

• True Footage is looking for a talented SRE to join and help own the build-out and scale-out of our entire technology stack. From mobile applications, data infrastructure, core backend services, and machine learning compute resources, you will be a key part of helping us scale. As a core infrastructure SRE, you would work both on shared infrastructure projects for the wider engineering organization as well as assisting individual teams with addressing scalability and availability issues in a proactive manner. Think of the role as part SRE, part DevOps, and part performance engineer, with some flexibility based on your skills and expertise. You will have the opportunity to evolve exclusively into one of those domains as the infrastructure team continues to expand.

Benefits

• A deploy-anywhere infrastructure that “just works” and is highly available and repeatable • Data pipeline engineering and infrastructure are required to support a variety of different data use cases and applications for downstream internal consumers • Data infrastructure to support complex real-time data pipelines, machine learning workflows, mobile and web applications • Develop key automation infrastructure for more complex load, stress, and performance testing • Anticipate and address scalability limitations of software solutions • Design and implement necessary instrumentation, observability, and alerting infrastructure to support business and engineering growth • Work directly with our engineering teams and evangelize best practices for deploying, developing, and scaling our entire technology stack • Rapidly prototype new technologies and demonstrate how they can be applied to our problem sets and help guide future technology choices • Configuration management, containerization, and management of our full stack of mobile applications, web applications, data infrastructure, machine learning infrastructure