Product and Engineering
Working Days: Alternate Saturdays Working (1st and 3rd)
Key Responsibilities
Design, implement, and maintain
highly available and scalable infrastructure
using
AWS Cloud Services
.
Build and manage
Kubernetes clusters
(EKS, self-managed) to ensure reliable deployment and scaling of microservices.
Develop Infrastructure-as-Code using
Terraform
, ensuring modular, reusable, and secure provisioning.
Containerize applications and optimize Docker images for performance and security.
Ensure
CI/CD pipelines
(Jenkins, GitHub Actions, etc.) are optimized for fast and secure deployments.
Drive
SRE principles
including monitoring, alerting, SLIs/SLOs, and incident response.
Set up and manage
observability tools
(Prometheus, Grafana, ELK, Datadog, etc.).
Automate routine tasks with scripting languages (Python, Bash, etc.).
Lead
capacity planning, auto-scaling
, and cost optimization efforts across cloud infrastructure.
Collaborate closely with development teams to enable
DevSecOps
best practices.
Participate in
on-call rotations
, handle outages with calm, and conduct postmortems.
Must-Have Technical Skills
Kubernetes (EKS, Helm, Operators)
Docker & Docker Compose
Terraform (modular, state management, remote backends)
AWS (EC2, VPC, S3, RDS, IAM, CloudWatch, ECS/EKS)
Linux system administration
CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
Logging & monitoring tools: ELK, Prometheus, Grafana, CloudWatch
Site Reliability Engineering practices
Load balancing, autoscaling, and HA architectures
Good-To-Have
GCP or Azure exposure
Service Mesh (Istio, Linkerd)
Secrets management (Vault, AWS Secrets Manager)
Security hardening of containers and infrastructure
Chaos engineering exposure
Knowledge of networking (DNS, firewalls, VPNs)
Soft Skills
Strong problem-solving attitude; calm under pressure
Good documentation and communication skills
Ownership mindset with a drive to automate everything
* Collaborative and proactive with cross-functional teams
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