Role: Python Technical Lead - Data Analysis, SQL
SHORTDESCRIPTION section. 1 of 6.
Section Title: Job Summary
Job Summary
Support engineers to onboard into the AIDA ecosystem to ensure high availability and reliability of all AIDA features across a global user base. The engineer(s) will be responsible for proactive monitoring, incident triage, troubleshooting, and resolution, along with delivering small enhancements and bug fixes across Python services, web applications, data/analytics pipelines, and cloud infrastructure.
This role requires strong production support mindset, hands-on troubleshooting skills, and ability to work in a shift-based model for near 24x7 coverage.
LONGDESCRIPTION section. 2 of 6.
Section Title: Key Responsibilities
Key Responsibilities
Production Monitoring & Uptime (Primary)
Monitor all features/services within the AIDA ecosystem to ensure uptime, stability, and performance
Perform proactive checks on health dashboards, logs, alerts, and metrics; identify issues before users are impacted
Own incident management (triage → diagnosis → mitigation → resolution) and drive restoration within SLA
Conduct root cause analysis (RCA) and implement corrective/preventive actions (CAPA)
Maintain and improve runbooks, SOPs, knowledge articles, and on-call procedures
Support Operations (L2/L3
)Handle support tickets and production issues including functional issues, system errors, integration failures, and data pipeline disruption
sManage escalations effectively—coordinate with product/engineering, infrastructure, and vendor teams as require
dTrack reliability KPIs (availability, MTTR, incident trends) and contribute to continuous improvemen
t
Enhancements & Fixes (Secondar
y)Deliver small enhancements, configuration changes, and bug fixes i
n:Python services/scripts and automati
onWeb UI components (Angular/React) and/or backend (.NET where applicabl
e)Data workflows (Dataiku pipelines/recipes, job schedulin
g)AWS infrastructure/app servic
es
Release & Change Supp
ortSupport deployments (lower → prod), validate smoke tests, and assist in release readiness activit
iesEnsure proper change documentation and rollback readiness for production chan
gesLONGDESCRIPTION section. 3 of
6.Section Title: Skill Requireme
ntsSkill Requireme
ntsRequired Technical Ski
lls
Python: troubleshooting, scripting, API debugging, automa
tionWeb/App Support: exposure to Angular or React, and understanding of web app troubleshooting (frontend/back
end)Backend exposure: knowledge of .NET is desirable (or ability to troubleshoot service-side iss
ues)Dataiku: ability to monitor and troubleshoot Dataiku jobs, pipelines, failures, schedu
lingAWS: working knowledge of cloud monitoring, logs, and typical services (e.g., IAM, EC2/ECS/EKS, S3, CloudWatch, Lambda—based on your st
ack)Observability & Support Tools: logging/monitoring, alerting systems, ticketing tools (ServiceNow/Jira), dashbo
ardsSKILL section. 4 o
f 6.Section Title: Must Have Sk
illsMust Have Sk
- illsClick Enter to show the proficiency description of Data AnalyticsData Analy
- ticsClick Enter to show the proficiency description of PythonPy
- thonClick Enter to show the proficiency description of MS SQLMS
SQLSKILL section. 5 o
f 6.Section Title: Good to have Sk
illsGood to have Sk
- illsClick Enter to show the proficiency description of React.jsReac
- t.jsClick Enter to show the proficiency description of .NET Framework.NET Frame
- workClick Enter to show the proficiency description of AngularAng
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
