Senior DevOps / GenAI Automation Lead
Sun Life | Job Posting 1752 - DevOps Specialist III
Contract: Short-term contract through December 31, 2026
Work Model: Mostly remote with occasional onsite collaboration
Preferred Locations: Ontario (Toronto/Scarborough/Waterloo) or Montreal; must be able to work EST hours
Experience Level: Senior / Lead-level profile, ideally 8–10+ years
Role Overview
We are seeking a senior, hands-on DevOps / Cloud Automation professional with strong experience across AWS, Jenkins and Terraform.
The ideal candidate will also bring strong Ansible / AAP2, database automation or decommissioning experience, and meaningful GenAI / Agentic AI exposure.
This person should be able to work independently, take ownership of technical initiatives, and collaborate closely with database, security, infrastructure and application teams.
Key Responsibilities
- Lead DevOps and infrastructure automation initiatives supporting enterprise database environments.
- Automate and improve database processes, including provisioning, patching, migration, operational support and decommissioning.
- Build and enhance CI/CD pipelines using Jenkins.
- Support infrastructure automation and IaC using Terraform and AWS.
- Develop and maintain automation using Ansible / Ansible Automation Platform 2 (AAP2).
- Automate password, service account, API key and certificate lifecycle activities using tools such as HashiCorp Vault and CyberArk.
- Integrate DevOps and automation platforms using REST APIs.
- Where applicable, design and build GenAI / Agentic AI solutions for DevOps and database operations.
Must-Have Experience
- Ideally 8–10+ years of DevOps, Cloud, SRE, Platform Engineering or Infrastructure Automation experience.
- Strong hands-on AWS experience.
- Strong Jenkins experience, including pipelines, Shared Libraries, Groovy and preferably JTE.
- Strong Terraform experience supporting enterprise cloud environments.
- Hands-on Ansible experience; AAP2 experience is highly preferred.
- Strong Git / Bitbucket and CI/CD experience.
- Strong scripting experience using Python, Bash and/or PowerShell.
- Experience integrating systems and automation platforms using REST APIs.
- Strong understanding of database infrastructure and operations.
- Experience with database automation / process improvement; database decommissioning experience is highly valued.
GenAI / Agentic AI – Strong Preference
For the senior profile, hands-on GenAI / Agentic AI experience is strongly preferred, including experience with some of the following:
- Building AI agents or GenAI solutions in production or near-production environments.
- AWS Bedrock or similar AI/agent platforms.
- RAG pipelines, embeddings, vector stores and retrieval.
- MCP (Model Context Protocol) and tool integrations.
- LangGraph, LangChain or similar agent frameworks.
- AI agents integrated with REST APIs, DevOps tooling or database platforms.
- Prompt engineering, LLM evaluation, guardrails and AI workflow operationalization.
Security & Automation
Experience with some of the following is highly desirable:
- HashiCorp Vault
- CyberArk
- AWS Secrets Manager
- Active Directory / LDAP
- Password and credential rotation
- TLS certificate lifecycle automation
- Kubernetes secrets management
Leadership / Working Style
- Able to independently lead technical initiatives.
- Strong troubleshooting and problem-solving skills.
- Able to ramp up quickly in an existing enterprise environment.
- Proactive communicator who raises risks and issues early.
- Comfortable working with DBAs, security, application and infrastructure teams.
- Strong ownership and delivery focus.
Nice to Have
- Kubernetes / OpenShift, Helm, Docker or Podman.
- Grafana, CloudWatch or other monitoring / observability tools.
- ServiceNow, Jira or ITSM automation experience.
- AWS or Terraform certifications.
- Financial-services or other regulated-industry experience.
Education
Bachelor’s degree in Engineering required. Computer Science or a related technical discipline is preferred.