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Accenture

Advises businesses and runs their technology

Operations Engineer

Platform EngineeringUpdated on Nov 6
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 7.5 years of experience is required.
  • At least 7.5 years of experience in agentic orchestration is required.
  • The candidate must have 12–15 or more years of experience in platform, tools, or infrastructure engineering.
  • The candidate must have 15 years of full-time education.
  • Mandatory certifications: Terraform Associate or Professional, Splunk Professional, AWS DevOps Engineer Professional or GCP DevOps Engineer, Certified Kubernetes Administrator, and HashiCorp Vault Associate.
  • Experience with Splunk, SLO engineering, OpenTelemetry, ELK/Splunk log pipelines, and distributed tracing.
  • Advanced Terraform skills, including modular design, policy-as-code, and drift detection, and Ansible or Chef for configuration management.
  • Experience with GitHub Actions, ArgoCD, pipeline engineering, GitOps workflows, policy enforcement, and infrastructure deployment automation.
  • Experience with ServiceNow workflow automation, CMDB integration, incident/problem/change API integration, and PagerDuty or OpsGenie connectivity.
  • Experience with internal developer portals, service catalogues, golden-path templates, self-service provisioning, and plugin development.
  • Experience with HashiCorp Vault, dynamic secrets, PKI automation, Kubernetes authentication, and multi-cloud secrets lifecycle.
  • Experience with OpenAI, Anthropic Claude, or Google Gemini, prompt engineering, retrieval-augmented generation architecture, vector databases, and LLMOps.
  • Experience with LangChain, LlamaIndex, or CrewAI, agentic workflow design, multi-agent orchestration, tool calling, and human-in-the-loop workflows.
  • Advanced Python skills for platform tooling development, LLM SDK integration, infrastructure automation, and API development.
  • Experience with PCI DSS, SOX, and DORA compliance, platform access controls, audit logging, policy-as-code enforcement, and regulatory evidence production.

Responsibilities

  • Design, build, and operate enterprise observability platforms using Splunk, providing unified metrics, logging, and tracing across infrastructure tiers and applying OpenTelemetry instrumentation standards.
  • Engineer and govern the infrastructure-as-code platform using Terraform or Pulumi, including module libraries, state management, policy-as-code using Sentinel or OPA, drift detection, and multi-cloud coverage across AWS and GCP.
  • Build and maintain CI/CD and GitOps pipeline infrastructure using GitHub Actions and ArgoCD for infrastructure and application platform delivery, and operate the Backstage internal developer portal for self-service provisioning.
  • Own ITSM platform engineering, including ServiceNow workflow automation, CMDB reconciliation, PagerDuty/OpsGenie integrations, and automated incident creation pipelines across infrastructure towers.
  • Engineer LLM-powered runbook automation by integrating OpenAI, Anthropic Claude, or Google Gemini with infrastructure tooling to automate incident triage, resolution workflows, and knowledge-base queries.
  • Build agentic ITSM workflows using multi-agent orchestration to handle incident classification, runbook execution, and stakeholder communication with human-in-the-loop controls.
  • Implement AI-powered alert correlation and noise reduction by grouping related alerts, suppressing false positives, and surfacing actionable incident context to on-call engineers.
  • Design retrieval-augmented generation architectures for infrastructure knowledge bases so engineers can query runbooks, operational documents, and incident history through natural-language interfaces backed by vector databases.
  • Engineer secret-management infrastructure using HashiCorp Vault, including dynamic secrets, PKI automation, and Kubernetes authentication across multi-cloud and on-premises environments.
  • Mentor engineers across infrastructure towers, set platform-engineering standards, drive tooling roadmaps, and act as the highest technical escalation point for platform and AI tooling issues.

Desired Qualifications

  • Experience with Crossplane for Kubernetes-native cloud resource provisioning.
  • Experience with eBPF-based observability tools such as Cilium, Pixie, or Hubble for deep infrastructure telemetry.
  • Experience with AI/ML infrastructure, including GPU node management, model-serving platforms such as Triton or vLLM, or MLflow.
  • A platform-engineering or site reliability engineering consulting background within financial services.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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