Job Title: DevOps Manager
Location: Hyderabad, India
Experience: 10–14 Years
About Anblicks
Anblicks is a cloud data engineering and analytics company helping enterprises modernize their data ecosystems through Cloud, Data Engineering, AI/ML, and Advanced Analytics solutions. We build scalable, secure, and high-performance platforms that power mission-critical data and analytics workloads.
We are seeking an experienced
Manager of DevOps to lead DevOps and automation initiatives supporting our cloud modernization and large-scale data platform programs.
Role Overview
This is a hands-on leadership role responsible for driving operational excellence across cloud-native and big data environments. You will lead a team of DevOps engineers while actively contributing to architecture, automation, CI/CD strategy, and cloud migration initiatives.
The ideal candidate balances technical depth with people leadership, thrives in distributed environments, and can translate business priorities into scalable DevOps delivery frameworks.
Key Responsibilities
- Team Leadership & Talent Development
- Lead and mentor a DevOps and automation team (8–15 engineers).
- Foster a culture of continuous learning, accountability, and operational excellence.
- Support hiring, onboarding, and retention strategies.
- Provide structured coaching and career development guidance.
- Champion modern DevOps best practices across teams.
- DevOps Strategy & Execution
- Drive implementation of CI/CD, Infrastructure as Code (IaC), containerization, and orchestration practices.
- Standardize DevOps tooling, workflows, and automation patterns across product teams.
- Build and maintain reliable deployment pipelines for mission-critical data processing systems.
- Ensure scalable automation frameworks for SQL and Spark-based big data workloads.
- Promote Git workflows, branching strategies, and code governance standards.
- Cloud & Infrastructure Management
- Oversee cloud infrastructure operations across AWS, GCP, and Azure environments.
- Manage infrastructure provisioning using Terraform and Infrastructure as Code best practices.
- Lead Kubernetes cluster management, networking, scaling, and security hardening.
- Drive cost optimization, monitoring, and operational hygiene initiatives.
- Ensure disaster recovery preparedness and business continuity readiness.
- Cross-Functional Collaboration
- Partner with Platform Engineering, SRE, Data Engineering, ML, and Security teams.
- Contribute to DevSecOps initiatives including security scanning and compliance enforcement.
- Translate technical requirements into actionable roadmaps and delivery plans.
- Track KPIs and drive continuous improvement in operational health and deployment velocity.
- Reliability & Observability
- Implement monitoring and observability frameworks using tools such as Prometheus, Grafana, ELK, or Datadog.
- Participate in incident response and postmortem reviews.
- Develop and maintain operational runbooks and knowledge-sharing practices.
Required Qualifications
- 8+ years of overall technology experience with 5+ years in DevOps or platform engineering roles.
- 2+ years of experience leading DevOps teams (5+ engineers).
- Experience working in distributed or offshore team models.
- Strong hands-on expertise in Kubernetes (cluster management, networking, security).
- Proficiency with Terraform and Infrastructure as Code methodologies.
- Experience with CI/CD platforms such as Jenkins or GitHub Actions and artifact management using Nexus.
- Strong experience with Git workflows and repository management (GitHub).
- Cloud platform experience with AWS and GCP (Azure is a plus).
- Experience with Helm, container registries, and container security best practices.
- Experience working in distributed computing or big data processing environments.
- Strong communication and stakeholder management skills.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Relevant certifications (AWS, GCP, Kubernetes, Terraform, etc.).
- Familiarity with big data frameworks such as Apache Spark or Databricks.
- Experience supporting SQL-based processing systems, data lakes, and analytics platforms.
- Experience with GitOps tools such as ArgoCD or Flux.
- Familiarity with DevSecOps practices and security scanning tools.
- Background in data-intensive, analytics-driven, or enterprise modernization programs.
What Will Set You Apart
- Experience leading DevOps transformations in large-scale cloud migrations.
- Strong ability to balance hands-on technical work with people leadership.
- Experience building DevOps practices for data-heavy or analytics-focused environments.
- Demonstrated ability to scale automation frameworks across multiple product teams.
- A strategic mindset combined with execution rigor.
