Operational Excellence Engineer (SySOps Ops X)

Technology Stack 

• Python
• Grafana
• Prometheus
• AWS
• Kubernetes
• Github

Job Description 

• Work on monitoring: we expect not only to build our own monitors, and dashboards but also to define the best standards on what and how monitoring should be done. Then use those standards to work with teams to help them improve their monitoring maturity.
• Work on alerting: alerting is by itself a kind of art, the art of understanding the problem, and the data and then creating thresholds that serve the alerting part.
• Incident Management: the team also has a great focus on incident management, not only will you be performing the tasks of being on call for Incident Commander but also is a critical part of making the process better.

Requirements

• Technical skills to debug and operate day-to-day issues: coding experience in Python and a strong background in monitoring and alerting tools (Desired: Grafana, Prometheus – while we don’t use it, experience in New Relic, Nagios, and Datadog will be valued)
• Experience working with AWS, Kubernetes, Github
• Enjoy and have experience working on reverse engineering problems.
• Motivation about the challenge of building an OPC area from scratch (processes, systems, monitoring, governance, being on-call under a rotation schema)
• Strong interpersonal and communication skills. This is not a ticket-based team, reaching out to the team to help them improve their maturity is our key factor. Proactivity and ownership are a must.
• Pioneer attitude towards building a team from scratch: either setting up new tools, coming up with a policy, or reaching out to a team proactively to work on a solution together
• On-call experience solving escalations, using ticketing systems, emails, and or phone calls in a timely manner
• Managing strategic communications and relations with multiple teams
• Taking initiative is your natural response
• Analytics skills
• Work experience in a start-up environment will be a plus
• A team player

Benefits

• Salaries quoted in USD
• Stock options
• Premium health coverage
• Mobile and Internet allowances 
• Wellness allowance
• Learning & Development allowance

About the Client

Our client is based is a New York-based organization that focuses on building transformative ML products for a better customer experience.