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SRE Architect DEAI DS Cloud & Data Engineering United Kingdom

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Hitachids
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 140000 GBP Yearly GBP 90000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: SRE Architect (68019) (DEAI DS) Cloud & Data Engineering United Kingdom
Location: Greater London

We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.

Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next.

We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job Description

Mandatory

Skills:

Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management.



Role Description

Skills:

ROLE PURPOSE
Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving.

KEY RESPONSIBILITIES
  • Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis
  • Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+
  • Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities
  • Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation
  • Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations
  • Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity
  • Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes
  • Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement
  • Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines
TECHNICAL SKILLS & EXPERTISE
  • Expert-level observability:
    Prometheus, Grafana, ELK/Open Search, Jaeger/Zipkin, Datadog, or Dynatrace
  • Strong experience with AIOps and ML-driven monitoring:
    Pager Duty, Moogsoft, Big Panda, or custom ML pipelines
  • Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, Litmus Chaos, Chaos Monkey)
  • Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines
  • Proficiency in automation and scripting:
    Python, Go, Bash, with experience building self-healing runbooks
  • Infrastructure knowledge:
    Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems
  • CI/CD and release engineering:
    Jenkins, Git Lab CI, Spinnaker, ArgoCD for integrated DB and application releases
  • Cost management: experience with Fin Ops principles, resource optimisation, and cloud spend analysis
SOFT SKILLS & COMPETENCIES
  • Strong leadership and mentoring ability — coaches and develops junior engineers
  • Excellent stakeholder management and communication skills across all levels
  • Strategic thinker who balances technical depth with business outcomes
  • Proven ability to drive change, influence without authority, and build consensus
  • Strong analytical and problem-solving mindset with attention to detail
  • Ability to manage competing priorities across multiple work streams simultaneously
QUALIFICATIONS & EXPERIENCE
  • 7+ years in SRE, Dev Ops, or production engineering with 3+ years in a senior or lead capacity
  • Proven track record of improving availability, reducing…
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