DevOps Engineer

Description :

Senior DevOps Engineer

Location : Remote (Must be available to work in CST Timezone)

Experience Required : 8+ Years

Department : Engineering

Employment Type : Full-Time

Role Overview :

Ekshvaku Tech Innovations is looking for a highly experienced Senior DevOps Engineer who excels at building scalable, automated, and resilient infrastructure for modern distributed systems and AI-driven platforms.

You will lead DevOps strategy, modernize our infrastructure, and ensure high performance across multi-environment deployments. This role requires strong hands-on expertise, architectural thinking, excellent documentation discipline, and the ability to collaborate with cross-functional engineering teams.

Key Responsibilities :

CI/CD & Automation :

- Design, implement, and maintain scalable CI/CD pipelines for Prerel, QA, and Production.

- Continuously improve build, release, and deployment workflows.

- Reduce manual ops through automation and scripting.

Infrastructure Engineering :

- Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools.

- Architect, deploy, and maintain cloud infrastructure (AWS/GCP).

- Lead modernization initiatives : containerization, orchestration, microservices optimization.

- Implement high availability setups, DR strategies, and cost-optimized infrastructure.

AI/ML Operations :

- Support AI/ML model training and deployment pipelines.

- Manage GPU orchestration and scalable model-serving environments.

- Work closely with AI and Data Engineering teams.

Monitoring, Security & Observability :

- Implement centralized monitoring, logging, and alerting systems.

- Improve system reliability and incident response times.

- Ensure cloud security best practices (IAM, network security, zero-trust).

- Contribute to compliance efforts for HIPAA, SOC2, ISO 27001.

Documentation & Collaboration :

- Maintain clear documentation, runbooks, and architecture diagrams.

- Collaborate with Engineering, Product, QA, and AI teams.

- Evaluate new DevOps tools and AI-powered automation capabilities.

Required Skills & Experience :

- 8+ years in DevOps or Cloud Infrastructure roles.

- Strong expertise in GitHub Actions and CI/CD pipeline architecture.

- Deep understanding of AWS or GCP (VPC, IAM, security, autoscaling).

- Production-level experience with Docker & Kubernetes (EKS/GKE).

- Proficiency in scripting : Python, Bash, or Go.

- Strong experience with Terraform, Ansible, CloudFormation.

- Solid understanding of monitoring tools (Prometheus, Grafana, CloudWatch, ELK).

- Experience supporting AI/ML pipelines (MLflow, Kubeflow, SageMaker, Vertex AI).

- Knowledge of security best practices & compliance frameworks.

- Excellent communication and documentation skills.

Preferred Qualifications :

- Experience with GPU workloads and ML orchestration.

- Knowledge of event-driven or serverless architectures (Lambda, Cloud Run).

- Exposure to GitOps tools (Argo CD, Flux).

- Background in AIOps (Dynatrace Davis, New Relic AI).

- AWS DevOps Engineer Professional or equivalent certification.

Success Indicators :

- 90%+ reduction in manual deployment tasks within 6 months.

- Fully standardized infrastructure documentation across all environments.

- Reduced downtime and faster incident resolution through observability.

- Improved developer velocity and increased deployment frequency.

- Adoption of AI-assisted automation and predictive monitoring.