DevOps Engineer
2 weeks ago
About Us:
We are an early-stage technology startup focused on building intelligent, data-driven solutions for the e-commerce industry. Our mission is to empower online businesses with secure, scalable, and innovative tools that help them operate more efficiently and confidently.
Key Responsibilities
Cloud Infrastructure Setup & Management
- Deploy and maintain cloud infrastructure (AWS / GCP / Azure).
- Design secure VPC, subnets, IAM roles, and access control.
- Set up load balancers, autoscaling, and monitoring dashboards.
Data Handling & Backups
- Configure secure databases (Postgres, MongoDB, or similar).
- Automate
regular data backups
with recovery testing (RPO/RTO). - Ensure data encryption at rest and in transit.
- Implement storage lifecycle rules (e.g., archiving old logs to cheaper storage).
CI/CD Pipeline
- Build robust CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
- Automate deployments for backend services and APIs.
- Implement versioning, rollback, and blue-green or canary deployments.
Monitoring & Logging
- Set up observability stack (Prometheus, Grafana, ELK, or CloudWatch).
- Track API latency, error rates, fraud scoring throughput, etc.
- Configure alerts for downtime or abnormal traffic spikes.
Security & Compliance
- Implement secrets management (Vault, AWS KMS, etc.).
- Enforce least-privilege policies, secure endpoints.
- DDoS protection, firewall rules, WAF setup.
Backend Support (as needed)
- Collaborate with backend engineer on API deployments.
- Write/review code for API integrations, microservices, or data pipelines.
- Optimize performance of backend services in production.
Required Skills
- Proficiency in Python / backend (enough to debug & extend APIs).
- Strong database knowledge (Postgres/MySQL, NoSQL).
- Strong in
AWS/GCP/Azure
services (EC2, S3, RDS, Cloud Functions/Lambda, etc.). - Infrastructure as Code (Terraform / CloudFormation).
- CI/CD experience with Docker + Kubernetes.
- Knowledge of
cloud security best practices
.
Nice to Have
- Experience with
streaming pipelines
(Kafka/Kinesis/PubSub). - Familiarity with
ML model deployment
(SageMaker, Vertex AI, Dockerized models). - Previous work in
fintech/e-commerce data
pipelines.
This is an opportunity for rapid career growth as the company scales and be part of a
founding engineering team
in an early-stage startup.
This position will be offered on a
service-based contract
, with compensation structured between
PKR 80,000 to PKR 140,000 per month
, depending on the candidate's experience and skill set. The contract arrangement ensures flexibility while maintaining clear deliverables and expectations, allowing both the company and the developer to focus on achieving measurable progress on the project.
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