(3–6 Years Experience)
We are a highly collaborative team that thrives in a fast-paced and dynamic environment. Our members take full ownership and accountability for delivering high-quality products, guided by a strong commitment to industry-leading engineering practices. We actively leverage AI to enhance productivity and efficiency across both individual and team workflows. Our work spans the complete product lifecycle—ranging from requirements gathering in collaboration with product teams, through development, testing, deployment, and extending into ongoing post-launch support.
Role Overview
We are seeking a skilled and motivated DevOps Engineer with 3–6 years of experience to join our engineering team. In this role, you will design and optimize CI/CD pipelines, manage scalable cloud infrastructure, work with modern technologies such as Kafka and Kubernetes, and drive automation across the stack. Familiarity with AI-powered tools and cloud-native AI services will be considered a strong advantage.
Key Responsibilities
- Design, build, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD.
- Manage cloud infrastructure (AWS / Azure / GCP) with a focus on scalability, performance, and cost optimization.
- Implement Infrastructure as Code (IaC) using Terraform, Ansible, or CloudFormation.
- Apply strong security best practices including secrets management, IAM, security groups, vulnerability scanning, and VPC networking.
- Work with Docker and Kubernetes; experience with Rancher is a plus.
- Configure and manage load balancers (ALB/ELB, Nginx, HAProxy) for high availability and traffic distribution.
- Deploy and manage serverless technologies (AWS Lambda, GCP Cloud Functions).
- Operate and maintain Kafka for scalable messaging and data streaming pipelines.
- Monitor and troubleshoot production systems using Prometheus, Grafana, CloudWatch, with exposure to Tempo, Loki, and alerting systems.
- Ensure system reliability, availability, and security by implementing industry best practices.
- Collaborate closely with development teams to improve deployment speed and reduce downtime.
- Participate in release management and incident resolution.
- Drive automation initiatives to reduce manual intervention and improve operational efficiency.
Good to Have
- Experience with service mesh (Istio, Linkerd) or API gateways
- Exposure to cloud-native AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI) for automation, predictive monitoring, and enhanced developer productivity.
- Familiarity with AI-powered DevOps tools for observability and automation (Datadog AI, Dynatrace Davis AI, Harness AIDA, GitHub Copilot, Tabnine).
- Experience with AI/ML pipeline automation (Kubeflow, MLflow, SageMaker).
- Hands-on experience with GenAI integration into DevOps workflows using Bedrock, Vertex AI, or Azure OpenAI Service.
- Awareness of AIOps practices for predictive maintenance, anomaly detection, and intelligent incident management.
- Exposure to cost optimization and FinOps
- Relevant certifications (AWS Certified DevOps Engineer, CKA, Terraform Associate, etc.).
To Apply
If you are a passionate and aspiring/experienced DevOps Developer looking for a challenging and rewarding opportunity, please submit your resume.