Principal Engineer

CBRE; Dadri, Hyderabad, Gurugram District; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

CBRE is seeking a Principal Software Engineer to serve as the technical authority for AIOps, intelligent automation, and AI-first engineering across the enterprise application portfolio.

The role will architect agentic AI and automation, set reliability standards, and lead cloud-native engineering practices at scale. Candidates should have hands-on depth in AWS/Azure/GCP, Terraform, CI/CD, and observability tools, with a track record in SRE and enterprise automation.

Qualifications

• Proven track record in AIOps and intelligent automation in large-scale production environments.
• Experience architecting automation programs, reusable frameworks, and enterprise-scale platforms.
• Strong knowledge of ITSM integrations (ServiceNow) and observability tooling.
• Hands-on expertise with cloud platforms (AWS/Azure/GCP) and IaC (Terraform).
• Leadership in cloud, DevOps, and SRE disciplines with a reliability-first mindset.

Responsibilities

• Define the technical roadmap for automation and agentic AI adoption across enterprise apps.
• Architect end-to-end AIOps solutions with event correlation and automated remediation.
• Lead platform engineering with governance across Power Platform, GCP, and full-stack stacks.
• Mentor senior engineers and drive engineering standards and reliability practices.

Skills

AIOps

Automation

Cloud architecture

SRE

DevOps

Agentic AI

LLMs

Terraform

CI/CD

OpenTelemetry

Datadog

ServiceNow

Kubernetes

Docker

Python/Java/Node.js

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

ServiceNow

Datadog

Prometheus/Grafana

Airflow/Temporal

Kubernetes

Docker

Jenkins/GitHub Actions/Azure DevOps

Job description

About CBRE:

CBRE Group, Inc. is the world's largest commercial real estate services and investment firm, with a revenue of $40.55 billion (as recorded on December 31, 2025) and more than 155,000 employees (including Turner & Townsend employees) serving clients in more than 100 countries. CBRE has been on the Fortune 500 list each year since 2008, reaching #118 on the 2026 list, its highest ranking yet.

Job Role:

We are seeking a Principal Software Engineer to serve as the technical authority for AIOps, intelligent automation, and AI-first engineering across the enterprise application portfolio. The role architects agentic AI and automation solutions, sets enterprise reliability and observability standards, and leads cloud-native engineering practice at scale. The role is deliberately technology-agnostic. The candidate will lead automation and application delivery across Power Platform, Google Cloud, and full-stack engineering, choosing the right approach for each use case while holding one consistent bar for governance, security, and reliability. Forward-Deployed AI Engineering is central to the work: partnering directly with business teams to prototype, deploy, and operationalize Generative AI, AI agents, and automation frameworks in production. The successful candidate brings hands‑on depth in AWS, Azure, or GCP, infrastructure as code using Terraform, modern CI/CD pipelines, and observability platforms, together with a track record of leading AIOps, SRE, platform engineering, and enterprise automation programs. This role will set engineering standards, mentor senior engineers, and drive operational excellence across the group.

Job Title: Principal Software Engineer

Job Location: Hyderabad/Gurugram/Noida

Start Date: As soon as possible

Key Responsibilities:

• Define and drive the technical roadmap for automation and Agentic AI adoption, partnering with engineering and product teams to reduce manual toil and accelerate self-healing operations.
• Architect end-to-end AIOps solutions integrating ServiceNow, Datadog, and AI/ML-based event correlation to drive intelligent incident detection and automated remediation across the enterprise application portfolio.
• Lead automation delivery independent of any specific technology, applying Power Platform, Google Cloud, or full-stack engineering as the use case demands, with consistent governance across all of them.
• Lead cloud and DevOps architecture initiatives spanning CI/CD, infrastructure-as-code, and container orchestration to ensure scalable, secure, and cost-optimized delivery.

General Responsibilities:

• Participate in code and architecture reviews, ensuring adherence to engineering best practices, coding standards, and design patterns.
• Collaborate with cross-functional teams in product, QA, and operations to translate business requirements into scalable technical solutions.
• Own technical documentation, including architecture decision records (ADRs), design specifications, and operational runbooks.
• Stay current with emerging technologies and industry trends, evaluating their applicability to the organization's technology roadmap.
• Contribute to technical hiring, including interviewing candidates and helping shape engineering competency frameworks.
• Champion a culture of engineering excellence, quality, and continuous improvement across teams.

AIOps and Intelligent Automation:

• Architect intelligent alerting, event correlation, and anomaly detection capabilities to reduce noise, accelerate root-cause analysis, and enable automated remediation.
• Lead design and adoption of agentic and generative AI-powered automation (Now Assist-style copilots, autonomous agents) using platforms such as ServiceNow, Google Gemini, or equivalent large language models (LLMs).
• Establish reusable automation frameworks, libraries, and governance standards to scale intelligent automation adoption across engineering teams.
• Evaluate and integrate a broad range of AIOps and observability platforms beyond a single vendor stack, including Splunk, Dynatrace, New Relic, and Prometheus/Grafana, selecting the right tool for each use case.
• Architect automation and orchestration workflows using engines such as Apache Airflow or Temporal, alongside a range of LLM providers such as OpenAI, Azure OpenAI, AWS Bedrock, or Anthropic Claude, keeping the architecture provider-agnostic.
• Embed directly with business and operations teams to find high-value AI use cases, then build working prototypes in weeks against their real data and workflows.
• Own the path from prototype to production, covering hardening, evaluation harnesses, monitoring, cost controls, and handover to the platform teams.
• Design and tune agentic workflows, retrieval pipelines, and prompt architectures, measuring accuracy, latency, and cost per outcome rather than demo quality.
• Define guardrails for enterprise AI use, including data handling, access control, human review checkpoints, and model fallback paths.
• Feed field learnings back into reusable frameworks, patterns, and reference implementations so the wider engineering group can reuse them without an FDE present.

Cloud, DevOps & SRE Leadership

• Design and review cloud-native and hybrid architectures (AWS, Azure, GCP) for scalability, resilience, and cost optimization, leading migration and modernization initiatives including containerization and infrastructure-as-code.
• Define and evolve CI/CD pipelines and DevSecOps standards, embedding security and compliance checks into the delivery pipeline.
• Act as the SRE technical authority, establishing SLIs, SLOs, and error budgets in partnership with engineering and product teams to drive a reliability-first culture.
• Lead capacity planning, failure mode analysis, and service dependency mapping to proactively eliminate toil and reduce MTTR across critical production systems.
• Drive blameless post-incident reviews and continuously refine on-call practices, runbooks, and escalation paths to strengthen organizational resilience.

Key Requirements:

12+ years of software engineering experience, including 3+ years in a principal or staff-level architecture role.

Bachelor's degree in Computer Science, Information Technology, or a related field; advanced degree preferred.

Minimum 5 years of hands‑on expertise architecting AIOps and intelligent automation solutions in large-scale production environments.

Proven track record of leading automation programs: defining reusable frameworks, driving adoption, and measuring operational impact at the organizational level.

Deep knowledge of ITSM frameworks; experience integrating AIOps and automation practices with ServiceNow or equivalent platforms.

Expert-level proficiency in AIOps tooling, including event correlation, anomaly detection, and intelligent alerting (Datadog, ServiceNow, or equivalent).

Strong expertise in agentic and generative AI, including LLM-based copilots, orchestration frameworks, and prompt-driven automation.

Experience designing and implementing infrastructure-as-code using Terraform (or equivalent) for cloud and platform configuration management.

Proficiency in CI/CD pipeline design and automation (Jenkins, GitHub Actions, Azure DevOps, or equivalent).

Strong experience with cloud platforms (AWS, Azure, or GCP), including cloud-native architecture, cost optimization, and reliability patterns.

Hands‑on experience with containerization and microservices architectures (Kubernetes, Docker, service mesh).

Demonstrated ability to mentor and upskill senior and staff engineers on architecture, automation, and DevOps best practices.

Familiarity with observability and monitoring standards (OpenTelemetry, Datadog, or equivalent) to support intelligent automation.

Proficiency in scripting and programming (Python, Java, or Node.js) for building automation tooling and platform integrations.

Strong analytical and problem‑solving skills with an ability to diagnose complex distributed system and automation failures.

Exceptional communication and stakeholder management skills; ability to translate technical architecture decisions for executive audiences.

Experience integrating automation and AIOps platforms with ITSM tools (ServiceNow) for automated alerting, ticketing, and incident correlation.

Strong grounding in Site Reliability Engineering (SRE) principles, including SLIs/SLOs, error budgets, blameless postmortems, and toil reduction at scale.

Demonstrated experience in incident command and on-call leadership, including capacity planning and failure mode analysis for large-scale distributed systems.

Must have Skills:

• ¢ Expert-level proficiency in AIOps and intelligent automation, with working knowledge of agentic and Generative AI platforms.
• ¢ Demonstrated ability to drive end-to-end delivery of AI-first solutions, translating strategic objectives into production-ready Generative AI, Agentic AI, and automation platforms at enterprise scale.
• ¢ Proven principal-level technical ownership: demonstrated experience architecting and scaling automation, cloud, and DevOps solutions for critical production systems.
• ¢ Strong technical leadership capabilities: ability to drive architecture reviews, mentor engineers, and align cross-functional teams around a technical roadmap.
• ¢ Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and containerized environments (Kubernetes, Docker).
• ¢ Proven Site Reliability Engineering (SRE) experience: capacity planning, incident command, and reliability engineering for critical production systems at scale.

Preferred Certifications

• Azure/AWS/GCP Professional Cloud Certifications, Terraform Associate, Kubernetes (CKA/CKAD), ITIL 4, SRE Foundation
• AI Engineering/Generative AI Certifications,
• Power Platform, Google Cloud, ServiceNow, or full-stack development certifications, and Observability/AIOps certifications such as Datadog, Dynatrace, Splunk, or ServiceNow ITOM.

Reference Links:

• https://www.youtube.com/watch?v=Lj8P5q2RMWY
• https://www.forbes.com/sites/peterhigh/2019/08/12/cbres-digital-and-technology-chief-on-why-these-roles-should-be-combined/#4fdfefa15692

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