Software Support Engineer

Responsibilities

• Monitor, maintain and support the team’s production assets in AWS which includes Collections and Crediting.
• Perform reviews of our systems, track updates, generally ensure the health and functional order of all our stage and production assets in AWS.
• As this is a large system processing large amounts of data 24x7 with daily downstream delivery contracts, ensure such daily delivery commitments are met per SLAs with NO delay or miss.
• Automate any manual processes or introduce new processes and best practices to ensure the proper functional order of our AWS-based production environment.
• Execute post deployment impact analysis and checks following releases to ensure no quality escape.
• Perform data analysis at the request of both our own team’s senior members as well as external stakeholders. Such analysis will involve collecting, combining, joining multiple data sets from multiple tables coming from our databases or MDL (Media Data Lake) environments and highlighting any anomalies or trend breaks.
• Engage appropriate members of the team (leaders, developers) when alerts are reported.
• Able to perform a first level of troubleshooting and analysis on problems assisting and supporting further in-depth analysis by the developers themselves.
• Monitor AWS systems performance and advise of any necessary infrastructure changes.
• Must be able to make themselves available at any time an alert in production is reported, assess severity and engage the team as needed.
• Document processes and procedures in RunBooks or any other type of documentation (for support and audit purposes).
• Keep and maintain good records and logs of releases, upgrades, issues and actions

Key Skills

• At least 3 years of professional, hands-on experience in supporting and maintaining large AWS systems and services, ensuring quality and proper working order.
• Working knowledge of the AWS ecosystem and servicesSQL programming for writing queries for data checks and analysis.
• Knowledge of Python programming.
• Knowledge of AWS security best practices, including IAM roles, security groups.
• Knowledge of Unix and Windows environments.
• Very good knowledge of AWS Monitoring, Alerting and Automation concepts and tools. Experience in both setting up and using such tools on an ongoing basis.
• Any prior experience in designing datasets and visualizations with tools like Superset, Grafana is a definite PLUS.
• Resourceful, self-starter, proactive and a team-player. Able to quickly assess possible problems and take quick decisions to protect our environment and our data.
• Detail oriented, problem solver.
• Effective communication; ability to describe and explain potential or existing issues and problems efficiently and accurately. Very good writing skills.
• Experience working in an Agile environment (scrum teams)