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Solution Architect

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Onsite

Solution Architect

ICE

Solution Architect

Skills

Google Cloud PlatformDockerPythonDevOpsDatadogGrafanaMachine LearningAIPrometheusCircleCIKubernetesComplianceAzure

5 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


Company: Aequus Executive Search Partners LLP

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B

Funding Stage: Private Equity

Industry: Information Technology

Job Description We are assisting our client to recruit a high-impact CI Process Automation Solution Architect to modernize and transform enterprise software delivery capabilities across global engineering teams. This role is accountable for designing scalable CI/CD architecture, improving engineering productivity, enabling DevSecOps practices, and driving AI-enabled automation initiatives across cloud-native and hybrid ecosystems.

This is not a traditional DevOps support role. The position requires a hands-on architect capable of building enterprise-grade automation platforms, influencing engineering transformation, and accelerating software delivery maturity at scale.

Role expectation Within the first 12–18 months, the architect is expected to:

  • Establish a standardized enterprise CI/CD architecture
  • Improve deployment velocity and release reliability
  • Reduce manual engineering effort through automation
  • Introduce AI-assisted engineering workflows
  • Build reusable platform engineering frameworks
  • Strengthen DevSecOps governance and compliance
  • Drive measurable engineering productivity improvements

Success Outcomes (Performance Expectations) First 90 Days

CI/CD Landscape Assessment

  • Assess current CI/CD maturity, tooling, governance gaps, and deployment bottlenecks
  • Deliver enterprise CI/CD modernization roadmap
  • Identify automation opportunities across engineering workflows

Architecture & Governance Foundation

  • Define enterprise CI/CD reference architecture
  • Establish engineering standards for:
  • Pipeline design
  • Release automation
  • Security integration
  • Infrastructure-as-Code
  • Deployment governance

Stakeholder Alignment

  • Build strong alignment with:
  • Enterprise Architecture
  • Cloud teams
  • Security teams
  • Engineering leadership
  • Product delivery teams

6-Month Outcomes

CI/CD Transformation Delivery

  • Implement scalable CI/CD frameworks across multiple engineering teams
  • Standardize deployment automation and reusable pipeline templates
  • Improve deployment frequency and reduce deployment failures

DevSecOps Enablement

  • Integrate automated security controls into CI/CD pipelines
  • Implement vulnerability scanning, policy enforcement, and compliance automation
  • Improve audit readiness and deployment governance

Platform Engineering Enablement

  • Build reusable engineering automation frameworks
  • Introduce self-service developer capabilities
  • Improve developer productivity and onboarding efficiency

AI-Driven Engineering Automation

  • Introduce AI-assisted engineering workflows including:

Developer copilots

Intelligent pipeline automation

AI-assisted testing and deployment insights

Workflow optimization

12-Month Outcomes

Enterprise Engineering Transformation

  • Establish enterprise-wide CI/CD operating standards
  • Deliver measurable improvements in:

Release velocity

Change failure rates

Build reliability

Engineering productivity

Mean time to recovery (MTTR)

Scalable Architecture Adoption

  • Drive adoption of standardized CI/CD platforms across global teams
  • Enable multi-cloud and hybrid deployment capabilities
  • Create reusable enterprise automation accelerators

Organizational Leadership

  • Mentor DevOps and platform engineering teams
  • Establish architecture review mechanisms
  • Influence enterprise engineering strategy and modernization initiatives

Key Responsibilities Enterprise CI/CD Architecture

  • Architect scalable, resilient, and secure CI/CD ecosystems
  • Standardize build, test, release, and deployment automation
  • Design reusable enterprise automation frameworks
  • Optimize pipeline performance and reliability

DevSecOps & Governance

  • Embed security controls into engineering workflows
  • Define governance standards and automation policies
  • Ensure compliance with enterprise security requirements
  • Drive secure software delivery practices

Platform Engineering & Automation

  • Build self-service engineering platforms and automation capabilities
  • Enable reusable developer productivity frameworks
  • Improve engineering efficiency through automation-first practices

Cloud & Infrastructure Modernization

  • Enable CI/CD across multi-cloud and hybrid environments
  • Partner with cloud and infrastructure teams on modernization initiatives
  • Support containerization and orchestration strategies

AI-Enabled Engineering Transformation

  • Evaluate and implement AI-assisted engineering capabilities
  • Integrate intelligent automation into SDLC processes
  • Explore MLOps and developer AI copilots to improve engineering productivity

Technical Leadership

  • Act as enterprise technical authority for CI/CD and automation initiatives
  • Mentor engineers and architects
  • Drive architecture reviews and engineering best practices
  • Influence strategic engineering decisions across global teams

Required Experience

  • 10+ years in DevOps, CI/CD, Platform Engineering, or Software Engineering
  • 5+ years in architecture or enterprise technical leadership roles
  • Proven experience leading enterprise CI/CD transformation programs
  • Experience working in large enterprise or GCC environments
  • Strong stakeholder management and cross-functional leadership experience

Technical Expertise CI/CD & DevOps

  • Azure DevOps
  • CircleCI
  • Enterprise pipeline automation
  • Release orchestration
  • Infrastructure-as-Code

Cloud & Containers

  • Azure
  • GCP
  • Kubernetes
  • Docker
  • Hybrid cloud environments

Programming & Automation

  • Python
  • Shell scripting
  • Automation frameworks
  • API integrations

DevSecOps

  • Security automation
  • Compliance integration
  • Vulnerability management
  • Secure SDLC implementation

Observability & Reliability

  • Prometheus
  • Grafana
  • ELK
  • Datadog

AI / ML Enablement

  • AI-assisted engineering workflows
  • MLOps exposure
  • LLM integration concepts
  • Developer AI copilots

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