Other Service Line - GeoSpatial Sr.Analyst MAP - GSSANL

All Views LLC
Hartford, United States of America
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Hartford, United States of America

Tech stack

Agile Methodologies
Airflow
Google BigQuery
Cloud Computing
Cloud Storage
Github
Intrusion Detection and Prevention
Python
Machine Learning
Microsoft Visual Studio
Reliability Engineering
Prometheus
Cloudera
Software Engineering
Tableau
Data Logging
Grafana
Ab Initio
PySpark
Low Latency
Splunk
ServiceNow

Job description

Site Reliability Engineers combined software engineering with systems and infrastructure operations to build and run large, reliable, scalable services. Role focused on: Responsible for Incident Detection & Logging and meeting agreed SLA for incident tickets. Responsible for Bridge Activation & Communication (P1 P2). Postmortem Preparation (Within 24 72 Hours) & Root Cause Analysis. Responsible for critical monitoring activities ,Problem Management & Grafana Integration. Participate in oncall rotations, handle incidents, and drive timely mitigation and recovery. Automating operational work so services can scale without manual toil also operating highly available, low latency & secure systems. Defining and measuring reliability through SLIs/SLOs and error budgets. Build and maintain observability: metrics, logs, traces, dashboards, and alerts for critical services. Tune alerting to reduce noise while ensuring rapid detection of user impacting issues. Lead or contribute to post incident reviews and root cause analysis and ensure follow up actions are implemented to prevent recurrence. Added Advantage if resource is familiar on Tools Tidal, Service Now,Xmatters,Abinitio,Tableau,Opsgenie&Zeke.

Requirements

Knowledge/experience in GCP (Big Query, Cloud storage, Dataproc, GKE, Airflow/Composer ,Pub-sub, Cloud function, Cloud SQL etc). Knowledge/experience in Github & Visual Studio code. Knowledge/experience in MS-Copilot. Knowledge/experience in Prometheus, Grafana & Splunk. Knowledge in Python/Pyspark/Machine learning is an added advantage, Clear written and verbal communication, particularly under pressure (e.g., during incidents). Ability to collaborate across multiple teams and influence engineering practices through expertise rather than authority. Strong communication, analytical ,Knowledge on entire Incident management life cycle process, Agile model experience, and problem-solving skills, Project Code

About the company

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