This job is no longer available.
You can view related vacancies or set-up an email alert notification when similar jobs are added to the website using the buttons below.

Devops Engineer

70000 per year - 80000 per year
image

PLEASE CONTACT

JOEL PENNY

DevOps Engineer - AWS, Docker, CI/CD, Ansible, Manchester, Permanent

A leading Financial company has reached out to me as they are looking for a Senior DevOps Engineer on a permanent basis.

The role will be based Manchester and he client is looking to pay around 70 - 80K mark.

They are looking for someone who can come in and implement automated Continuous Integration and Continuous Delivery pipelines and has worked on highly-transactional AWS platforms. Someone who can collaborate with the Development team to evaluate new tools and technical strategies.

Skill requirements:

  • Cloud experience ideally AWS (Azure OR GCP acceptable)
  • Docker
  • Programming and scripting languages - Groovy, yaml, Shell, Python
  • Jenkins in pipelines
  • Ansible, Puppet or Chef experience

If interested, please apply and we can discuss the role in further detail.

DevOps Engineer - AWS, Docker, CI/CD, Ansible, Manchester, Permanent

McGregor Boyall is acting as an Employment Agency in relation to this vacancy.

 

To stay safe in your job search we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organisation working to combat job scams. Visit the SAFERjobs website for information on common scams and to get free, expert advice for a safer job search.

MORE JOBS LIKE THIS
MORE JOBS LIKE THIS
  • Big Data Engineer
    £575 - £600 per day

    Big Data Engineer

    Big Data, Hadoop, Java, Scala, Hbase, Kafka, Hive, ETL, Data Quality, Testing, Automation, Development, Design, Banking

    An excellent opportunity has arisen for a Big Data Engineer to work for a Leading Banking client based in London.

    As an Engineer on the Big Data platforms you’ll be responsible for delivering quality software to tight timelines. You will be working in a dynamic global team with business analysts, project managers, business stakeholders and other technical experts across multiple locations in London and China.

    Key skills/experience required:

    - Understanding and knowledge of big data technologies with at least 2 years of experience working within a big data team

    - Understanding and confidence testing in all or most of these:

    - Full Hadoop Stack (e.g. Hive, HDFS, Hbase, Spark, Storm, Kafka, Oozie, Sqoop

    - Configuration management tools – , e.g. Git, Gerrit

    - Test Automation using Java and JavaScript

    - CI tools Jenkins

    - Ability to develop an automation framework around Continuous Integration using Behaviour Driven Development methodology.

    - Experience of working in a feature team within an agile environment.

    - A cross-skilled individual is desirable so they are able to occasionally help out the development team.

    - Automation framework creation, In-sprint Automation, functional test automation, extensive Agile experience, Progressive Automation, Behaviour Driven Development (BDD), TDD, ATDD (Acceptance test driven development), Continuous Integration, Continuous Delivery, CICD, JBehave, Java/Selenium, Cucumber, Groovy, Ruby, Gherkin

    - Participate in all agile ceremonies including code reviews, design, triage, estimating, and other testing and script development process

    Please respond with an up to date CV for further information - ncarolan@mcgregor-boyall.com

    McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

  • Big Data Developer
    £80000 - £120000 per annum Benefits

    Big Data Architect/Engineer

    Big Data, Hadoop, Kafka, HDFS, Spark, Pig, Hive, Zookeeper, Impala, Storm, RabbitIQ, Flume, Architect

    An excellent opportunity has arisen for a Big Data Architect and a Big Data Engineer to work for a leading Digital Agency based in London.

    The ideal candidate will have outstanding knowledge in technologies related to collecting, storing, processing and analysing huge sets of data near to real time. The role involves design, development, implementation and support of a new real time data platform which includes data streams, a data lake and the enterprise data warehouse.

    Key skills/experience required:

    • Proficient understanding of distributed computing principles.
    • Expert knowledge in Java/Scala programming languages.
    • Expert knowledge of core Hadoop distribution stack such as Hadoop V2, HDFS, Spark, Pig, Hive, Impala and ZooKeeper.
    • Expert knowledge in handling stream data including Kafka, Kafka Streams, Spark Streaming and Storm.
    • Expert knowledge in data integration and messaging platforms including Kafka, Apache Nifi, Flume, Scoop and RabbitMq.
    • Good understanding of relational databases such as Oracle, SQLServer and MySQL.
    • Good understanding of NoSQL databases such as HBase, Cassandra and MongoDB.
    • Good knowledge of data model design techniques including OLTP and Dimensional Modelling.
    • Experience with popular distributions such as Cloudera, MapR and Hortonworks.

    Please respond with an up to date CV for further information - ncarolan@mcgregor-boyall.com

    McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

  • Engineering/Data Science Manager
    £140000 - £170000 per annum Benefits

    Engineering/Data Science Lead

    Data Science, Engineering, Machine Learning, Deep Learning, Python, R, Java, PySpark, Numpy, Pandas, Sickit-Learn, Management, Leadership

    An excellent opportunity has arisen for a technology leader to manage a Data Science/Engineering team within a leading banking client in London.

    Key skills/experience required:

    • Higher degree in computer science or engineering
    • Experience building and managing small technical teams (approx 6-10 people)
    • A manager who remains very hands on
    • Experience defining SDLC processes
    • Strong working knowledge of relational and non-relational databases
    • Experience in a highly controlled data environment and implementing entitlements and security solutions
    • Experience with Python
    • Excellent algorithmic/machine learning/data science understanding
    • Financial industry experience is not a pre-requisite

    Please apply with an up to date CV for further information. ncarolan@mcgregor-boyall.com

    McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.