Senior DevOps / Platform Engineer (Google Cloud)

Datatonic
London
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsSkills: ["Collaboration","Stakeholder management","Continuous learning","Proactivity","Technology enthusiasm"]

Establish and enhance DevOps practices across client organizations by designing robust DevOps pipelines and advising teams on DevOps best practices. Partner with customers and project teams throughout delivery to ensure seamless outcomes, while building and optimizing DevOps functions. Leverage CI/CD expertise and programming skills to support cloud-native architectures, ideally on Google Cloud, and contribute to SRE-minded reliability improvements.

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Datatonic
Datatonic
2 months ago

Senior DevOps / Platform Engineer (Google Cloud)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Establish and enhance DevOps practices across client organizations by designing robust DevOps pipelines and advising teams on DevOps best practices. Partner with customers and project teams throughout delivery to ensure seamless outcomes, while building and optimizing DevOps functions. Leverage CI/CD expertise and programming skills to support cloud-native architectures, ideally on Google Cloud, and contribute to SRE-minded reliability improvements.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Collaborate with clients to design and implement robust DevOps pipelines.
  • •Provide expert advice to customers on DevOps best practices.
  • •Establish and enhance DevOps functions within clients’ organizations.
  • •Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery.

Pay and Benefits

Perks:Paid LeaveHealth InsuranceGym MembershipHome OfficeLearning BudgetPensionLife InsuranceIncome Protection

Key Requirements

  • •4+ years of DevOps experience (or experience as a Software Engineer transitioning into DevOps).
  • •Proficiency in Python, Java, or Go.
  • •In-depth knowledge of CI/CD tools and processes.
  • •Strong passion for technology and continuous learning.
  • •Experience collaborating with diverse ML, AI, and DevOps teams.
Experience:4+ yearsAIMachine learningData engineering
Skills:CollaborationStakeholder managementContinuous learningProactivityTechnology enthusiasm
Tech Stack:Google Cloud PlatformGoogle CloudPythonJavaGoCI/CDTerraformKubernetesSite Reliability Engineering (SRE)SDNCloud-native architectures

Company Brief

Datatonic
Datatonic is a cloud data and AI consultancy that builds data platforms, analytics, MLOps and generative AI solutions for enterprise clients, partnering closely with Google Cloud to deliver data-driven business outcomes.
Industry: Consulting
Company Size: Large (251 to 1,000 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2015
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Glassdoor: 4.0
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