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Hitachi

SRE Architect (68019)

London
Posted about 17 hours ago
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Function

Cloud & Data Engineering

Our Company

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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TECHNICAL SKILLS & EXPERTISE

  • Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace
  • Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines
  • Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, 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, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases
  • Cost management: experience with FinOps 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 workstreams simultaneously

QUALIFICATIONS & EXPERIENCE

  • 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity
  • Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale
  • Experience managing or automating database operations in enterprise environments
  • Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

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DESIRABLE / NICE TO HAVE

  • Published work or conference talks on SRE, observability, or chaos engineering
  • Experience with service mesh (Istio) and distributed tracing at scale
  • Background in financial services or regulated industry SRE practices

About us

We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

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Skills

Observability
Resiliency
Service Management
Reliability
Performance Engineering
Scalability
Release Management
Cloud Cost Management
FMEA
Chaos Engineering
AIOps
Database Automation
Kubernetes
Python
Go
FinOps

Location

London, England, United Kingdom

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