A prominent, data based global technology firm is currently seeking a SRE/Developer to join their team in New York . This tech company has multiple focuses, the main one being the creation of one of the world?s most widely utilized financial software applications. In this role you will work in a small, dynamic team with some of New York City?s top engineers, to solve very unique, large scale challenges. Their systems are very large and highly distributed, and engineers are always looking for creative solutions to solve problems, including employing a variety of modern programming languages, open source and big data technologies, as well as Machine Learning and Natural Language Processing.
Not only can you grow professionally in this company but they have an excellent engineering culture, work/life balance, and great benefits. The company is also very philanthropic; many employees give back to the community and the company also donates a significant portion of their profits to philanthropy. This is an exciting opportunity for anyone looking for the next step in their career and for a work place they can call home.
On this team you?ll build and standardize performance and capacity planning environment to allow to easily answer questions around the health and capacity of our system, as we add more features and users. You'll define best practices and standards for testing/monitoring/logging/alarming across 90+ developers and build tools to automate our release processes. You?ll have many opportunities to create and implement your own improvements.
- Strong skills with one or more object oriented languages (C++ or Java preferred)
- Solid experience with a scripting language (preferably Python)
- UNIX networking skills
- Familiarity with design and implementation of large scale distributed systems
- Experience with one or more of: production monitoring, capacity management, deployment and rollback, provisioning, configuration and orchestration
- A track record of creating and implementing new processes and workflows related to SDLC pipelines
- Exposure to monitoring tools such as Graphite and Splunk
- Exposure to containers and orchestration frameworks