Your role and responsibilities
1. Consultative Discovery & Solution Mapping
- Collaborate with sales and clients to identify operational challenges (e.g., manual interventions, security issues, unreliable deployments).
- Convert these findings into high-level architectural strategies that incorporate AI-driven automation, DevSecOps principles, and SRE best practices.
- Align on desired outcomes and ROI by leading requirement-gathering sessions with both technical and business stakeholders.
- Prepare and deliver tailored demos showcasing how AI-based automation addresses specific pain points (e.g., anomaly detection, self-healing).
- Plan and execute POCs with clearly defined success criteria and actionable next steps.
- Proactively identify solution gaps and risks, steering clients toward best practices.
- Show how AI-powered insights can enhance observability, alerting, and incident management, reducing MTTD and MTTR.
- Provide high-level guidance on migrating or optimizing workloads in major cloud platforms (AWS, Azure, GCP).
- Illustrate the value of Infrastructure as Code (IaC) and outline best practices for containerization, including Kubernetes and OpenShift, to ensure consistency, scalability, and streamlined operations.
- Advise on suitable AI Ops tools (e.g., monitoring, log analysis) aligned with client needs and existing tech stacks.
- Develop technical proposals and solution overviews in partnership with sales, ensuring alignment between commercial and technical objectives.
- Contribute to RFP/RFI responses, clearly articulating how proposed solutions meet client requirements.
- Serve as a trusted advisor, bridging client objectives with the solution’s technical roadmap.
- Collaborate with Product, Engineering, and Customer Success teams to ensure alignment on features, roadmaps, and deployment.
- Maintain strong client relationships, acting as the main technical contact throughout the sales cycle.
- Partner with external technology providers or integrators to deliver comprehensive, end-to-end solutions.
- Stay current on trends in DevSecOps, SRE, and AI Ops, evaluating new tools or methodologies to enhance client solutions.
- Share insights and best practices through workshops, webinars, or whitepapers, building market credibility.
- Provide feedback on evolving client needs to guide future product and service enhancements
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
DevSecOps & SRE Fundamentals
- Familiarity with continuous integration (CI), continuous delivery (CD), and automated security checks (e.g., SAST, DAST).
- Understanding of SRE principles (SLOs, SLIs, error budgets) and how they inform observability, incident management, and reliability metrics.
Cloud & Container Orchestration
- Hands-on experience or strong conceptual knowledge of AWS, Azure, or GCP (at least one current certification on a major cloud provider is required).
- Proficiency in containerization (Docker) and orchestration platforms like Kubernetes or OpenShift.
AI Ops & Automation Insight
- Basic familiarity with AI-driven solutions (e.g., anomaly detection, predictive maintenance) that reduce manual intervention and streamline operations.
- Ability to recommend suitable AI Ops tools for monitoring, logging, or automatic remediation.
Technical Solution Design & Advisory
- Proven ability to translate client challenges (manual tasks, security gaps, etc.) into high-level architectures, incorporating DevSecOps and SRE best practices.
- Comfort discussing Infrastructure as Code (e.g., Terraform, CloudFormation) and architecting scalable, secure deployments.
Client-Facing & Collaborative Experience
- Strong presentation and communication skills, capable of delivering tailored demos and guiding technical Proof-of-Concepts (POCs).
- Demonstrated success working cross-functionally (e.g., with sales, product, and engineering) to align on proposals and deployment plans.
Proposal Development & Documentation
- Experience contributing to RFPs, RFIs, or similar technical documentation, clearly outlining solution capabilities and alignment with business goals.
- Ability to develop concise, persuasive technical proposals and solution roadmaps.
Preferred technical and professional experience
Advanced Cloud Credentials
- Additional or higher-level certifications (e.g., AWS Solutions Architect Associate, Azure Administrator Associate, Google Cloud Associate Engineer).
Container & Orchestration Certifications
- Familiarity with credentials like the Certified Kubernetes Administrator (CKA) or Red Hat’s OpenShift certifications.
DevSecOps or Security Training
- Completion of recognized courses or certifications (e.g., DevOps Institute) indicating a deeper grasp of secure development practices.
AI Ops & Observability
- Experience leveraging AI-driven tools for monitoring and incident management, plus comfort with observability stacks (e.g., Prometheus, Grafana).
Practical Automation & Incident Response
- Exposure to infrastructure-as-code frameworks (Terraform, CloudFormation) and chaos engineering or advanced troubleshooting methods that enhance system resilience.
