Senior / Staff DevOps Engineer

At HG Insights, we lead the way in technology intelligence, delivering AI-driven insights through advanced data science and scalable big data architecture. We're searching a strong DevOps to support and manage complex cloud operations and database systems. With the recent acquisitions of MadKudu and TrustRadius, we’ve created an agentic GTM ecosystem that eliminates manual handoffs, guesses, and siloed signals and we need a strategic seller to take it to market.

What You Will Do

Manage all aspects of our google cloud hosted env including kubernetes, databases, permissions, memory stores, and other external components of our applications. Supporting 20+ microservices across development, staging, and production environments

Design and maintain CI / CD pipelines using GitHub Actions for automated testing, building, and deployment of our monorepo applications coordinating with the engineering team

Implement monitoring and alerting systems using using tools like Prometheus, and custom dashboards for application performance and infrastructure health

Automate infrastructure provisioning using Terraform and Helm charts for consistent, repeatable deployments across environments

Manage database infrastructure including PostgreSQL clusters, MongoDB Atlas, Redis, and Elasticsearch with backup, scaling, and disaster recovery strategies

Ensure security and compliance implementing secrets management, network policies, and audit logging for SOC2 requirements

What You Will Be Responsible For

Platform reliability maintaining 99.9% uptime for revenue-critical systems serving enterprise customers

Infrastructure scalability supporting rapid growth in data processing (10M+ events / day) and user traffic

Security posture ensuring compliance with enterprise security requirements and data protection standards

Cost optimization managing cloud spend efficiency while maintaining performance and reliability standards

Incident response and disaster recovery procedures with minimal downtime during critical failures

What You Will Need

8+ years DevOps / SRE experience with Kubernetes, Docker, and cloud infrastructure management

Strong scripting and automation skills with Python, Bash, and infrastructure-as-code tools

CI / CD pipeline expertise with GitHub Actions, Jenkins, or similar automation platforms

Cloud platform proficiency with GCP services including GKE, Cloud SQL, BigQuery, and networking

Monitoring and observability experience with metrics, logging, alerting, and performance optimization

Nice to Have

Multi-cloud experience with AWS or Azure for disaster recovery and hybrid deployments

Database administration experience with PostgreSQL, MongoDB, and managed database services

Security frameworks and compliance experience with SOC2, GDPR, and enterprise audit requirements

Data pipeline infrastructure supporting Apache Airflow and large-scale data processing workloads

GitOps and advanced deployment strategies including blue-green deployments and canary releases