Summary
✨ AI‑Generated
A DevOps-focused engineering role centered on building automated data and log ingestion pipelines, developing reporting dashboards and executive metrics, and analyzing platform telemetry for trends, compliance gaps, and actionable insights. The position requires strong hands-on experience with observability and analytics technologies, proficiency in Python and/or Java and REST APIs, and solid knowledge of SDLC, DevSecOps, CI/CD, Linux, cloud platforms, SQL, and dashboard development. You will collaborate closely with engineering, security, platform, and governance teams. This is a local, on-site opportunity.
Highlights
Opportunity to work across engineering, security, platform, DevOps, and governance teams on data-driven reporting and observability initiatives. The role offers hands-on work with modern analytics, streaming, cloud, automation, and DevSecOps technologies.
Description
Title: DevOps Engineer
Location: Phoenix, AZ (Local Only)
ROLE_DESCRIPTION
"Responsibilities
· Design and develop SDLC control reporting, dashboards, scorecards & executive metrics.
· Integrate and analyze data from Elastic Stack, Kafka, Redis and enterprise data sources.
· Build automated data/log ingestion and reporting pipelines using APIs and related technologies.
· Analyze platform telemetry to identify trends, compliance gaps, exceptions & actionable insights.
· Ensure data quality, reconciliation, metric definitions and reporting accuracy.
· Collaborate with Engineering, DevOps, Security, Platform & Governance teams."
ESSENTIAL_SKILLS
"Strong hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana), Grafana, Power BI, Kafka & Redis.
· Proficiency in Python and/or Java, REST APIs, log ingestion & streaming pipelines.
· Experience with SDLC/DevSecOps, CI/CD, plus working knowledge of Linux & Cloud.
· Strong SQL, data analytics, reporting & dashboard development skills.
· Ability to translate platform telemetry, engineering metrics & controls into actionable insights/KPIs."
SKILLS_REQUIRED
"Strong hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana), Grafana,Power BI, Kafka & Redis.
· Proficiency in Python and/or Java, REST APIs, log ingestion & streaming pipelines.
· Experience with SDLC/DevSecOps, CI/CD, plus working knowledge of Linux & Cloud.
· Strong SQL, data analytics, reporting & dashboard development skills.
· Ability to translate platform telemetry, engineering metrics & controls into actionable insights/KPIs."
KEYWORDS
Elastic Stack + Grafana/Power BI + Kafka/Redi
EXPERIENCE_RANGE_IN_REQUIRED_SKILLS
6-9 years
Role Descriptions: Strong hands-on experience with Elastic Stack (Elasticsearch| Logstash| Kibana)| Grafana| Power BI| Kafka & Redis.Proficiency in Python and/or Java| REST APIs| log ingestion & streaming pipelines.Experience with SDLC/DevSecOps| CI/CD| plus working knowledge of Linux & Cloud.Strong SQL| data analytics| reporting & dashboard development skills.Ability to translate platform telemetry| engineering metrics & controls into actionable insights/KPIs.Roles & ResponsibilitiesDesign and develop SDLC control reporting| dashboards| scorecards & executive metrics.Integrate and analyze data from Elastic Stack| Kafka| Redis and enterprise data sources.Build automated data/log ingestion and reporting pipelines using APIs and related technologies.Analyze platform telemetry to identify trends| compliance gaps| exceptions & actionable insights.Ensure data quality| reconciliation| metric definitions and reporting accuracy.Collaborate with Engineering| DevOps| Security| Platform & Governance teams.
Essential Skills: Strong hands-on experience with Elastic Stack (Elasticsearch| Logstash| Kibana)| Grafana| Power BI| Kafka & Redis.Proficiency in Python and/or Java| REST APIs| log ingestion & streaming pipelines.Experience with SDLC/DevSecOps| CI/CD| plus working knowledge of Linux & Cloud.Strong SQL| data analytics| reporting & dashboard development skills.Ability to translate platform telemetry| engineering metrics & controls into actionable insights/KPIs.Roles & ResponsibilitiesDesign and develop SDLC control reporting| dashboards| scorecards & executive metrics.Integrate and analyze data from Elastic Stack| Kafka| Redis and enterprise data sources.Build automated data/log ingestion and reporting pipelines using APIs and related technologies.Analyze platform telemetry to identify trends| compliance gaps| exceptions & actionable insights.Ensure data quality| reconciliation| metric definitions and reporting accuracy.Collaborate with Engineering| DevOps| Security| Platform & Governance teams.
Desirable Skills:
Keyword:
Skills: Digital : DevOps
