DevOps Engineer

Requirements:

• 2+ years of commercial experience with AWS

• Solid hands-on experience with PostgreSQL (TimescaleDB a plus, not mandatory)

• Strong troubleshooting skills for cloud infrastructure and data systems

• Experience with scripting (e.g., Python) for automation and operational tasks

• Self-starter with ability to manage infrastructure independently

• Good English communication skills — must coordinate directly with US-based team

Nice to Have:

• Familiarity with geospatial data

• Previous experience working solo in DevOps roles

• Knowledge of AWS monitoring best practices

• Understanding of infrastructure-as-code tools (Terraform, CloudFormation, etc.)

Key Responsibilities:

• Ensure infrastructure uptime and respond to alerts

• Troubleshoot infrastructure issues

• Manage and improve data storage and monitoring systems (PostgreSQL/TimescaleDB on AWS)

• Build robust application and infrastructure monitoring (alerts, dashboards, stability tools)

• Suggest and implement AWS architecture improvements

• Support the operation and scheduling of ETL pipelines (Python scripts + ETL tools)

• Collaborate with data analysts and project leads to ensure smooth delivery

What You’ll Work With:

• Infrastructure: AWS (manual setup currently, automation planned)

• Database: PostgreSQL / TimescaleDB (TigerData)

• ETL: Python scripts (tool TBD)

• Monitoring: You choose & implement (full ownership)

• Orchestration: None yet (Docker/K8s not in use)

• CI/CD: Not currently used (no active codebase or compiled code)

• Automation: Terraform/CloudFormation possible later

• Data: Geodata + time series streams (daily updates)

Why This Role?

• Direct ownership of a clean and buildable AWS infrastructure

• Influence on tooling and architecture from day one

• Work on a focused data pipeline with flexibility in implementation

• Fast-track hiring and decision-making process