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

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
- Robust 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

📌 Solution Architect (Bengaluru)
🏢 ICE
📍 Bengaluru