Cloud and DevOps Engineering Lead

Technical Head – Cloud & DevOps

Company : TechnoSprout Systems

Role Summary

The Technical Head – Cloud & DevOps leads end-to-end architecture, engineering, and delivery for cloud, security, DevOps, SRE, and automation initiatives across enterprise clients. This role ensures high-quality platform design, implementation, optimization, governance, and operational maturity progression—aligned with TechnoSprout’s modernization and autonomous engineering frameworks.

1. Key Deliverables & KPIs

Deliverable 1 : Solution Architecture & Technical Leadership

Tasks :

Lead cloud, DevOps, and SRE architecture for enterprise programs

Review designs, blueprints, automation frameworks

Guide teams on security, scalability, observability, and reliability

KPIs :

Architecture approval quality

Reduction in redesign or rework

Client satisfaction on technical solutions

Deliverable 2 : Project Delivery & Execution

Tasks :

Oversee delivery of engineering and modernization projects

Mentor engineers and ensure adherence to best practices

Drive predictable, structured, and timely delivery

KPIs :

Delivery timelines met

Defect rate / production issues

Sprint and milestone completion rate

Deliverable 3 : Platform Implementation (Cloud, DevOps, Security, Automation)

Tasks :

Lead cloud migrations, infra automation, CI / CD pipelines

Implement monitoring, logging, security, compliance

Ensure infra reliability, performance, and cost governance

KPIs :

Deployment success rate

MTTR improvement

Cost optimization metrics

Deliverable 4 : Platform Optimization & Maturity Improvement

Tasks :

Run optimization programs across performance, governance, automation

Drive SRE practices and reliability engineering frameworks

Improve automation coverage and operational maturity

KPIs :

% automation uplift

SLO / SLA adherence

Reduction in manual interventions

Deliverable 5 : Managed Operations & Autonomous Engineering Support

Tasks :

Provide architecture oversight to 24×7 operations

Implement automated remediation workflows

Ensure continuous progression on TechnoSprout’s maturity model

KPIs :

Self-healing automation adoption

Reduction in alert noise

Operational efficiency score

Deliverable 6 : Client Engagement & Consulting Support

Tasks :

Participate in pre-sales, assessments, and technical workshops

Present modernization roadmaps and technical strategies

Act as trusted advisor for cloud, security, and DevOps programs

KPIs :

Win rate for technical proposals

Client NPS

Repeat business metrics

2. Daily / Weekly Tasks

Review architecture, pipelines, IaC, and deployment frameworks

Mentor engineers and conduct technical reviews

Participate in client calls, standups, and delivery meetings

Monitor platform performance, cost, reliability metrics

Approve RFCs, design documents, and technical work items

Evaluate new tools, frameworks, and best practices

Support operational governance with SRE / DevOps teams

3. Skills Required

Education : Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred but not mandatory)

Experience : 8–10 years in cloud, DevOps, SRE, or platform engineering roles, including leadership experience in enterprise IT / consulting environments

Strong expertise in AWS / GCP / Azure architecture

Deep knowledge of DevOps, SRE, IaC, automation, CI / CD, containers, Kubernetes

Strong understanding of security, compliance, observability, monitoring

Hands-on experience designing high-availability and enterprise-grade systems

Ability to lead engineering teams and review technical designs

Experience with cloud cost optimization and governance

Strong communication and client-facing consulting skills

Ability to drive structured delivery and engineering discipline

4. Knowledge Required

Cloud-native architectures, microservices, distributed systems

Kubernetes, containers, service mesh, GitOps frameworks

Terraform / CloudFormation / Pulumi or other IaC tools

CI / CD tools (Jenkins, GitHub Actions, GitLab, Argo, etc.

Observability tools (Prometheus, Grafana, ELK, Datadog, Splunk)

Security practices : IAM, WAF, VPC, zero trust, compliance (ISO, SOC2)

Familiarity with SRE principles (SLOs, error budgets, toil reduction)

Knowledge of large enterprise IT operating models