

Avance Consulting
Cloud Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer with a contract length of "unknown" and a pay rate of "unknown." Candidates must have 2 years of experience in ELK stack management, including Elasticsearch, Logstash, and Kibana, alongside strong problem-solving skills.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
October 22, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Glasgow, Scotland, United Kingdom
-
π§ - Skills detailed
#Monitoring #Data Ingestion #Logging #Strategy #Cloud #Indexing #Base #Elastic Stack #Elasticsearch #Logstash
Role description
Job Description:
The Senior Cloud Engineer will have broad experience of software development,
infrastructure engineering and operations and will understand the goals and
strategy behind each project from conception through completion.
They will support the development and operation of software through tools, environments and practices and are responsible for underpinning good development processes.
This ELK SME adaptation utilities engineering experience as the base skillset but
also extends into strong Elastic, Logstash and Kibana experience, allowing change
and improvement within the Agencyβs Logging Monitoring and Alerting (LMA)
implementation of ELK.
The role requires a dynamic, highly motivated individual with the ability to work
under pressure, and have well developed problem solving skills. You must be an
excellent team player, quick learner and self-starter dedicated to maintaining high
quality standards.
Skills Required:
The ELK (Elastic Logstash & Kibana) SME is an extension of the Cloud Engineering role. In
addition to being experienced Cloud Engineers as per the full description below the
candidates also need 2 years of experience as follows.
Β· ELK SME Extension
Β· Professional experience in the design, maintenance and management of Elastic stacks
(Elasticsearch, Logstash, Kibana)
Β· Experience of configuring and maintaining large Elastic cluster
Β· Experience working with large data sets and elastic indexing best practices.
Β· Good understanding of Visualisation components and techniques in Elasticsearch.
Β· Proven experience in performance management and tuning of Elasticsearch
environment.
Β· Strong experience in writing data ingestion pipelines using Logstash and other big
data technologies.
Job Description:
The Senior Cloud Engineer will have broad experience of software development,
infrastructure engineering and operations and will understand the goals and
strategy behind each project from conception through completion.
They will support the development and operation of software through tools, environments and practices and are responsible for underpinning good development processes.
This ELK SME adaptation utilities engineering experience as the base skillset but
also extends into strong Elastic, Logstash and Kibana experience, allowing change
and improvement within the Agencyβs Logging Monitoring and Alerting (LMA)
implementation of ELK.
The role requires a dynamic, highly motivated individual with the ability to work
under pressure, and have well developed problem solving skills. You must be an
excellent team player, quick learner and self-starter dedicated to maintaining high
quality standards.
Skills Required:
The ELK (Elastic Logstash & Kibana) SME is an extension of the Cloud Engineering role. In
addition to being experienced Cloud Engineers as per the full description below the
candidates also need 2 years of experience as follows.
Β· ELK SME Extension
Β· Professional experience in the design, maintenance and management of Elastic stacks
(Elasticsearch, Logstash, Kibana)
Β· Experience of configuring and maintaining large Elastic cluster
Β· Experience working with large data sets and elastic indexing best practices.
Β· Good understanding of Visualisation components and techniques in Elasticsearch.
Β· Proven experience in performance management and tuning of Elasticsearch
environment.
Β· Strong experience in writing data ingestion pipelines using Logstash and other big
data technologies.