Operations Engineer
Accenture · Bangalore, India · 1d ago
Mid levelOn-siteSoftware Engineering
Project Role : Operations Engineer
Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.
Must have skills : Agentic Orchestration, Agentic AI , AI Orchestration &LLM
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
A Principal Engineer — Tools & Platforms provides expert technical leadership across the infrastructure tooling ecosystem — spanning observability, automation, infrastructure-as-code, ITSM platforms, internal developer portals, and AI-augmented operations. The role is accountable for building, governing, and continuously improving the engineering platforms that enable Cloud, Network, Security, Database, and Voice towers to operate at scale with reliability. A key differentiator of this role is the ability to embed AI-augmented capabilities — LLM-driven runbook automation, agentic ITSM workflows, and intelligent alert correlation — directly into infrastructure platforms, accelerating toil reduction and operational intelligence across the organization.
Observability
– ELK/Splunk
– OpenTelemetry
– Jaeger/Zipkin
Automation & IaC
– Terraform/Pulumi
– Ansible/Chef
– GitHub Actions/ArgoCD
– HashiCorp Vault
ITSM & DevOps
– ServiceNow
– Jira/Confluence
– Xmaters
AI-Augmented Ops
– LLM runbook automation
– Agentic ITSM workflows
– AI alert correlation
– RAG knowledge bases
– LLMOps pipelines
Roles & Responsibilities:
– Design, build, and operate enterprise observability platforms — Splunk — providing unified metrics, logging, and tracing across all infrastructure tiers with OpenTelemetry instrumentation standards
– Engineer and govern the IaC platform — Terraform or Pulumi — including module libraries, state management, policy-as-code (Sentinel/OPA), drift detection, and multi-cloud coverage across AWS and GCP
– Build and maintain CI/CD and GitOps pipeline infrastructure — GitHub Actions, ArgoCD — for infrastructure and application platform delivery operate the Internal Developer Portal (Backstage) for self-service provisioning
– Own ITSM platform engineering — ServiceNow workflow automation, CMDB reconciliation, PagerDuty/OpsGenie integrations, and automated incident creation pipelines across all infrastructure towers
– Engineer LLM-powered runbook automation — integrating OpenAI, Anthropic Claude, or Google Gemini with infrastructure tooling to automate incident triage, resolution workflows, and knowledge base queries
– Build agentic ITSM workflows — multi-agent orchestration (LangChain, LlamaIndex, CrewAI) that autonomously handle incident classification, runbook execution, and stakeholder communication with human-in-the-loop controls
– Implement AI-powered alert correlation and noise reduction — LLM-based reasoning to group related alerts, suppress false positives, and surface actionable incident context to on-call engineers
– Design RAG architectures for infrastructure knowledge bases — enabling engineers to query runbooks, operational docs, and incident history through natural language interfaces backed by vector databases
– Engineer secret management infrastructure — HashiCorp Vault — dynamic secrets, PKI automation, and Kubernetes auth across multi-cloud and on-premises environments
– Mentor engineers across all towers set platform engineering standards, drive tooling roadmaps, and act as the highest technical escalation point for platform and AI tooling issues
Professional & Technical Skills:
Mandatory Certifications
-Terraform Associate or Professional- Splunk Professional -AWS DevOps Engineer Pro or GCP DevOps Engineer
-Certified Kubernetes Administrator (CKA)- HashiCorp Vault Associate
-Observability: Splunk — SLO engineering, OpenTelemetry, ELK/Splunk log pipelines, distributed tracing
-IaC & Automation: Terraform (advanced) — modular design, policy-as-code, drift detection Ansible/Chef for configuration management
-CI/CD & GitOps: GitHub Actions, ArgoCD — pipeline engineering, GitOps workflows, policy enforcement, infrastructure deployment automation
-ITSM Engineering: ServiceNow — workflow automation, CMDB integration, incident/problem/change API integration, PagerDuty/OpsGenie connectivity
-Internal Dev Portal: service catalogue, golden path templates, self-service provisioning, and plugin development
-Secret Management: HashiCorp Vault — dynamic secrets, PKI automation, Kubernetes auth, multi-cloud secrets lifecycle
-LLM & AI Tooling: OpenAI, Anthropic Claude, Google Gemini — prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps
-AI Orchestration: LangChain, LlamaIndex, CrewAI — agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows
-Scripting & Dev: Python (advanced) — platform tooling development, LLM SDK integration, infrastructure automation, API development
-FSI Compliance: PCI DSS, SOX, DORA — platform access controls, audit logging, policy-as-code enforcement, and regulatory evidence production
Preferred / Advantageous
– Crossplane for Kubernetes-native cloud resource provisioning
– eBPF-based observability — Cilium, Pixie, or Hubble — for deep infrastructure telemetry
– AI/ML infrastructure — GPU node management, model serving platforms (Triton, vLLM), or MLflow
– Platform engineering or SRE consulting background within financial services
Additional Information:
Infrastructure Platform Engineering & Tooling
– Observability, IaC, CI/CD, ITSM, and IDP platforms are reliable, well-governed, and actively adopted across all infrastructure towers — with measurable reductions in operational toil
– AI-augmented operations are deployed in production — runbook automation, agentic ITSM workflows, and LLM-powered alert correlation reduce MTTR and free engineers from repetitive work – IaC coverage is comprehensive and drift-free — environments reproducible, policy-compliant, and pipeline-deployable without manual intervention
– Engineering teams across all towers regard the Principal Engineer as the authoritative platform expert who removes blockers, sets the standard, and makes hard problems tractable
-12–15+ years in platform, tools, or infrastructure engineering
- The candidate should have minimum 7.5 years of experience in Agentic Orchestration.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.
Must have skills : Agentic Orchestration, Agentic AI , AI Orchestration &LLM
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
A Principal Engineer — Tools & Platforms provides expert technical leadership across the infrastructure tooling ecosystem — spanning observability, automation, infrastructure-as-code, ITSM platforms, internal developer portals, and AI-augmented operations. The role is accountable for building, governing, and continuously improving the engineering platforms that enable Cloud, Network, Security, Database, and Voice towers to operate at scale with reliability. A key differentiator of this role is the ability to embed AI-augmented capabilities — LLM-driven runbook automation, agentic ITSM workflows, and intelligent alert correlation — directly into infrastructure platforms, accelerating toil reduction and operational intelligence across the organization.
Observability
– ELK/Splunk
– OpenTelemetry
– Jaeger/Zipkin
Automation & IaC
– Terraform/Pulumi
– Ansible/Chef
– GitHub Actions/ArgoCD
– HashiCorp Vault
ITSM & DevOps
– ServiceNow
– Jira/Confluence
– Xmaters
AI-Augmented Ops
– LLM runbook automation
– Agentic ITSM workflows
– AI alert correlation
– RAG knowledge bases
– LLMOps pipelines
Roles & Responsibilities:
– Design, build, and operate enterprise observability platforms — Splunk — providing unified metrics, logging, and tracing across all infrastructure tiers with OpenTelemetry instrumentation standards
– Engineer and govern the IaC platform — Terraform or Pulumi — including module libraries, state management, policy-as-code (Sentinel/OPA), drift detection, and multi-cloud coverage across AWS and GCP
– Build and maintain CI/CD and GitOps pipeline infrastructure — GitHub Actions, ArgoCD — for infrastructure and application platform delivery operate the Internal Developer Portal (Backstage) for self-service provisioning
– Own ITSM platform engineering — ServiceNow workflow automation, CMDB reconciliation, PagerDuty/OpsGenie integrations, and automated incident creation pipelines across all infrastructure towers
– Engineer LLM-powered runbook automation — integrating OpenAI, Anthropic Claude, or Google Gemini with infrastructure tooling to automate incident triage, resolution workflows, and knowledge base queries
– Build agentic ITSM workflows — multi-agent orchestration (LangChain, LlamaIndex, CrewAI) that autonomously handle incident classification, runbook execution, and stakeholder communication with human-in-the-loop controls
– Implement AI-powered alert correlation and noise reduction — LLM-based reasoning to group related alerts, suppress false positives, and surface actionable incident context to on-call engineers
– Design RAG architectures for infrastructure knowledge bases — enabling engineers to query runbooks, operational docs, and incident history through natural language interfaces backed by vector databases
– Engineer secret management infrastructure — HashiCorp Vault — dynamic secrets, PKI automation, and Kubernetes auth across multi-cloud and on-premises environments
– Mentor engineers across all towers set platform engineering standards, drive tooling roadmaps, and act as the highest technical escalation point for platform and AI tooling issues
Professional & Technical Skills:
Mandatory Certifications
-Terraform Associate or Professional- Splunk Professional -AWS DevOps Engineer Pro or GCP DevOps Engineer
-Certified Kubernetes Administrator (CKA)- HashiCorp Vault Associate
-Observability: Splunk — SLO engineering, OpenTelemetry, ELK/Splunk log pipelines, distributed tracing
-IaC & Automation: Terraform (advanced) — modular design, policy-as-code, drift detection Ansible/Chef for configuration management
-CI/CD & GitOps: GitHub Actions, ArgoCD — pipeline engineering, GitOps workflows, policy enforcement, infrastructure deployment automation
-ITSM Engineering: ServiceNow — workflow automation, CMDB integration, incident/problem/change API integration, PagerDuty/OpsGenie connectivity
-Internal Dev Portal: service catalogue, golden path templates, self-service provisioning, and plugin development
-Secret Management: HashiCorp Vault — dynamic secrets, PKI automation, Kubernetes auth, multi-cloud secrets lifecycle
-LLM & AI Tooling: OpenAI, Anthropic Claude, Google Gemini — prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps
-AI Orchestration: LangChain, LlamaIndex, CrewAI — agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows
-Scripting & Dev: Python (advanced) — platform tooling development, LLM SDK integration, infrastructure automation, API development
-FSI Compliance: PCI DSS, SOX, DORA — platform access controls, audit logging, policy-as-code enforcement, and regulatory evidence production
Preferred / Advantageous
– Crossplane for Kubernetes-native cloud resource provisioning
– eBPF-based observability — Cilium, Pixie, or Hubble — for deep infrastructure telemetry
– AI/ML infrastructure — GPU node management, model serving platforms (Triton, vLLM), or MLflow
– Platform engineering or SRE consulting background within financial services
Additional Information:
Infrastructure Platform Engineering & Tooling
– Observability, IaC, CI/CD, ITSM, and IDP platforms are reliable, well-governed, and actively adopted across all infrastructure towers — with measurable reductions in operational toil
– AI-augmented operations are deployed in production — runbook automation, agentic ITSM workflows, and LLM-powered alert correlation reduce MTTR and free engineers from repetitive work – IaC coverage is comprehensive and drift-free — environments reproducible, policy-compliant, and pipeline-deployable without manual intervention
– Engineering teams across all towers regard the Principal Engineer as the authoritative platform expert who removes blockers, sets the standard, and makes hard problems tractable
-12–15+ years in platform, tools, or infrastructure engineering
- The candidate should have minimum 7.5 years of experience in Agentic Orchestration.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com
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