DevOps Engineer

Company Description

Data Lake Solutions LLC, founded in 2016 and headquartered in Lewis Center, Ohio, with an extended presence in Hyderabad, India, specializes in innovative IT and software solutions. Focused on cutting-edge Generative AI (GenAI) accelerators, the company leverages advanced AI, cloud technologies, and data analytics to transform operations across industries. Products such as AI agents, LLM fine-tuning tools, and conversational AI platforms help businesses increase productivity, streamline workflows, and enhance user experiences. Data Lake Solutions empowers organizations with scalable, context-aware, and efficient solutions that drive smarter decision-making and superior outcomes.

Role Description

Join our team as a DevOps Engineer and take ownership of cloud infrastructure, automation, and deployment pipelines! We're looking for an experienced engineer who thrives in fast-paced environments and is passionate about building scalable, reliable systems.

Experience Level: 3+ Years

Location: India

Type: Full Time

Immediate joiner preferred

What You will Do

• Design and implement robust CI/CD pipelines for seamless, automated deployments
• Deploy and manage containerized applications on Amazon EKS & Kubernetes
• Build scalable Infrastructure as Code (IaC) using Terraform
• Develop powerful automation solutions using Python
• Manage critical AWS services (EC2, EKS, S3, IAM, Lambda, RDS, CloudWatch, Route53, VPC)
• Master Kubernetes cluster administration and troubleshooting
• Debug and resolve complex pod and node-level issues.
• Implement comprehensive monitoring and logging solutions.
• Optimize cloud infrastructure for performance, reliability, and cost
• Partner with development teams on production releases and deployments

Must Have

• 3+ years in DevOps/AWS cloud engineering
• Strong hands-on experience with AWS cloud services
• Advanced Python development and scripting skills
• Kubernetes & Amazon EKS expertise
• Terraform proficiency for Infrastructure as Code
• CI/CD pipeline experience (Jenkins, GitHub Actions, GitLab CI)
• Docker & containerization knowledge
• Linux administration skills
• Advanced Kubernetes debugging including: CrashLoopBackOff, OOMKilled, Pending pods
• Node NotReady issues, PVC/storage problems
• Ingress, networking, and cluster autoscaling
• kubectl mastery – logs, events, describe, exec, debugging
• Git version control proficiency

Nice to Have

• Helm chart expertise
• ArgoCD experience
• Monitoring stacks (Prometheus, Grafana, ELK)
• Security and compliance best practices
• Serverless architecture knowledge
• KEDA and advanced autoscaling

Canditate Profile Preferred

• Bachelor's degree in Computer Science or related field (preferred)
• AWS Certification (bonus points!)
• Strong communication and problem-solving skills
• Hands-on experience troubleshooting production workloads