DevOps Engineer
Indexed description
You will work closely with backend, frontend, data, and product engineering teams to support rapid development cycles, reliable deployments, and scalable infrastructure.
Responsibilities
Cloud Infrastructure & Platform Engineering
- Design, implement, and manage scalable infrastructure on Google Cloud Platform (GCP)
- Manage Kubernetes clusters and containerized workloads in production environments
- Optimize infrastructure for high performance, scalability, reliability, and cost efficiency
- Maintain secure networking, DNS, domain management, SSL certificates, and WAF configurations
- Implement and maintain Infrastructure as Code (IaC) using Terraform or similar tools
- Build and maintain CI/CD pipelines for frontend and backend deployments
- Automate application deployment, rollback, scaling, and operational workflows
- Improve deployment reliability, release speed, and developer productivity
- Support zero-downtime deployments and blue/green or canary release strategies
- Implement and manage monitoring, logging, and alerting systems using Datadog and GCP tools
- Create dashboards, alerts, incident response workflows, and operational runbooks
- Proactively identify bottlenecks, failures, and performance issues
- Ensure high availability and uptime of systems and services
- Manage and optimize PostgreSQL databases for performance, backup, replication, and reliability
- Support BigQuery infrastructure, integrations, and performance optimization
- Implement database monitoring, maintenance, and disaster recovery strategies
- Implement cloud security best practices across infrastructure and applications
- Manage IAM, secrets, access control, firewalls, WAF policies, and network security
- Conduct infrastructure hardening and vulnerability mitigation
- Ensure operational compliance and security standards are maintained
- Support engineering teams with infrastructure, deployment, debugging, and operational tooling
- Improve developer workflows and platform self-service capabilities
- Collaborate closely with frontend, backend, and data engineering teams
- Strong experience with Google Cloud Platform (GCP)
- Hands-on experience with Kubernetes and container orchestration
- Experience with Datadog monitoring and observability platforms
- Experience with GitHub Actions
- Strong knowledge of CI/CD pipelines and deployment automation
- Experience with PostgreSQL administration and optimization
- Experience working with BigQuery or large-scale data systems
- Strong understanding of networking, DNS, SSL, WAF, and domain management
- Experience with Infrastructure as Code (Terraform preferred)
- Knowledge of Linux systems administration and shell scripting
- Experience with frontend and backend deployment pipelines
- Strong understanding of scalable distributed systems
- Experience designing highly available and fault-tolerant architectures
- Experience with monitoring, alerting, logging, and incident management
- Understanding of security best practices and cloud infrastructure hardening
- Experience with multi-region deployments
- Experience with GitHub Actions, GitLab CI, or Jenkins
- Knowledge of service mesh technologies
- Experience with cost optimization and cloud governance
- Experience supporting AI/data platforms
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 5+ years of DevOps / SRE / Platform Engineering experience
- Strong troubleshooting and communication skills
- Ability to work in fast-paced, high-growth environments
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