Job Summary
We are seeking a talented DevOps Engineer (5+yrs) to join our team. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from you!
About Us
CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas.
What You Will Be Doing:
● Build & Automate Cloud Infrastructure – Design, deploy, and optimize cloud environments, ensuring scalability, reliability, and cost efficiency.
● Set Up CI/CD & Deployment Pipelines – Develop automated workflows to streamline code integration, testing, and deployment for faster releases.
● Monitor & Improve System Performance – Implement robust monitoring, logging, and alerting mechanisms to proactively identify and resolve issues.
● Manage Containers & Scalability – Deploy and maintain containerized applications, ensuring efficient resource utilization and high availability.
● Ensure Security & Reliability – Enforce access controls, backup strategies, and disaster recovery plans to safeguard infrastructure and data.
● Adapt & Scale with the Startup – Take on dynamic responsibilities, quickly learn new technologies, and evolve processes to meet growing business needs.
You Will Thrive in This Role If You:
Must Haves:
● Experience: 5+ years in DevOps or related roles, focusing on cloud environments, automation, CI/CD, and Linux system administration. Strong expertise in debugging and infrastructure performance improvements.
● Cloud Expertise: In-depth experience with one or more cloud platforms (AWS, GCP), including services like EC2, RDS, S3, VPC, etc.
● IaC Tools: Proficiency in Terraform, Ansible, CloudFormation, or similar tools.
● Scripting Skills: Strong scripting abilities in Python, Bash, or PowerShell.
● Containerization: Experience with Docker, including managing containers in production.
● Monitoring Tools: Hands-on experience with tools like ELK, Prometheus, Grafana, CloudWatch, New Relic, and Datadog.
● Version Control: Proficiency with Git and code repository management.
● Soft Skills: Excellent problem-solving skills, attention to detail, and effective communication with both technical and non-technical team members.
● Database Management: Experience with managing and tuning databases like MySQL and PostgreSQL.
● Deployment Pipelines: Experience with Jenkins and similar CI/CD tools.
● Message Queues: Experience with rabbitMQ/SQS/Kafka.
Nice to Have:
● Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or similar.
● SRE Practices: Familiarity with Site Reliability Engineering (SRE) principles, including error budgeting and service level objectives (SLOs).
● Serverless Computing: Knowledge of AWS Lambda, Azure Functions, or similar architectures.
● Containerization: Experience with Docker and Kubernetes, including managing
production clusters.
Why Join CodeVyasa?
- Work on innovative, high-impact projects with a team of top-tier professionals.
- Continuous learning opportunities and professional growth.
- Flexible work environment with a supportive company culture.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage.
Here's a glimpse of what life at CodeVyasa looks like Life at CodeVyasa.
