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Deutsche Bank

Site Reliability Engineer

Deutsche Bank is hiring a Site Reliability Engineer. Level rates it ; you can apply on Deutsche Bank.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Google Cloud, Kubernetes and GitHub Actions.
  • Level classifies it as a senior role.
  • Level lists 1,100+ other open roles at Deutsche Bank.

AI in this role

Ensure reliability, scalability, and automation of cloud applications and infrastructure using GCP and Kubernetes.

Google CloudKubernetesGitHub ActionsTerraform
site-reliability-engineeringdevopsautomationci-cdincident-management

Job Description:

Job Title: Site Reliability Engineer

Corporate Title: Assistant Vice President

Location: Bangalore, India

Role Description

We are looking for Site Reliability Engineer candidate with below requirement. This role is combination of Production support + SRE + Devops. So majorly looking for GCP experience and Kubernetes to support the design, deployment, automation, and operational excellence of enterprise-grade cloud applications.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

  • Best in class leave policy.

  • Gender neutral parental leaves

  • 100% reimbursement under childcare assistance benefit (gender neutral)

  • Sponsorship for Industry relevant certifications and education

  • Employee Assistance Program for you and your family members

  • Comprehensive Hospitalization Insurance for you and your dependents

  • Accident and Term life Insurance

  • Complementary Health screening for 35 yrs. and above

Your key responsibilities

  • System Reliability: Ensure the reliability, availability, and performance of production systems by implementing best practices in monitoring, alerting, and incident response.

  • System Maintenance: Understand thoroughly the end-to-end application support process and escalation procedures, become fully conversant with all support tools. Maintain an end-to-end view of the application and infrastructure landscape.

  • Automation: Develop and maintain automation tools and scripts to streamline deployment, scaling, and operational tasks.

  • Incident Management: Act as a primary responder to system outages and incidents, ensuring rapid resolution and thorough post-mortem analysis to prevent recurrence.

  • Monitoring & Alerting: Design and implement robust monitoring and alerting systems to proactively identify and address potential issues.

  • Performance Optimization: Identify and resolve performance bottlenecks across the stack, from application code to infrastructure.

  • Collaboration: Work closely with development teams and other stakeholders to ensure that new features and services are designed with reliability and scalability in mind.

  • Documentation: Maintain comprehensive documentation of systems, processes, and procedures to ensure knowledge sharing and continuity.

  • Continuous Improvement: Continuously evaluate and improve our infrastructure, tools, and processes to enhance system reliability and operational efficiency.

  • Design, implement, and manage CI/CD pipelines using GitHub Actions.

  • Deploy and operate applications on Google Kubernetes Engine (GKE).

  • Develop and maintain Helm charts for complex application deployments.

  • Manage Kubernetes infrastructure including node management, auto-scaling, configuration management, and secrets management.

  • Configure and support service networking components such as gateways, virtual services, and service mesh technologies (Anthos Service Mesh preferred).

Your skills and experience

  • Proficiency in Infrastructure as Code - Terraform (must)

  • Proficiency in cloud platforms such Google Cloud (preferred), Openshift Cloud

  • Usage of enterprise Security Management solutions including GCP Secret Manager.

  • Expertise in Kubernetes (GKE) administration and operations

  • Experience in CI/CD tools

  • GitHub Actions – CI/CD experience is must

  • Experience with Docker/Kubernetes (creating images, deployments)

  • Experience into developing Helm Charts ( templates, hooks, packaging)

  • Exposure to delivering good quality code within enterprise scale development

  • Working knowledge of environment monitoring tools such as GCO, Prometheus, Grafana

  • Strong experience in software development processes, models, lifecycles and methodologies.

  • Expert hands-on experience with service-mesh technology such as Istio or Anthos Service Mesh

  • Experience in software development and scripting in at least one language (Java, JavaScript, Python, Go, Bash)

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

  • Training and development to help you excel in your career.

  • Coaching and support from experts in your team.

  • A culture of continuous learning to aid progression.

  • A range of flexible benefits that you can tailor to suit your needs.

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

How we rate this

Site Reliability Engineer at Deutsche Bank rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Site Reliability EngineeringDevOpsAutomationCI/CDIncident ManagementGoogle CloudKubernetesGitHub Actions

Questions you could be asked

  1. Tell me about a project where site reliability engineering was part of your work. What did you do?
  2. Tell me about a project where devops was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where ci/cd was part of your work. What did you do?
  5. Tell me about a project where incident management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Site Reliability Engineering, DevOps, Automation, CI/CD, and Incident Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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