[Hiring] Automation Engineer @12b42754-ce4b-494b-8ac4-b514a41ae8bf

Role Description

We are seeking a Software Operations Automation Engineer to design, implement, and maintain automation that eliminates repetitive manual work and improves reliability across our operational workflows. You will build robust, scalable pipelines and services—centered on Apache Airflow and scripting—to automate:

• File movement
• Scheduled FTP jobs
• Application health checks
• Data validation and remediation
• Log/table-driven alerting
• Email-triggered actions

Workflow Orchestration:

• Design, develop, and maintain DAGs in Apache Airflow to schedule and coordinate operational tasks.

Task Automation:

• Move files between systems/locations and confirm successful sends/receives.
• Execute FTP pickups on defined schedules with retries and failure handling.
• Ensure applications are running through automated health checks and restart routines.
• Perform database data validation (referential integrity, threshold checks, anomaly detection).
• Alert when specific conditions are identified in log files or database tables.
• Modify data based on query results under controlled, auditable procedures.
• Consume emails and trigger appropriate automated actions (e.g., parse inbox commands, route attachments, kick off jobs).

Reliability Engineering:

• Implement idempotent jobs, robust error handling, logging, and observability for all automation.

Integrations:

• Build and maintain API-driven integrations between internal/external systems.

Security & Compliance:

• Handle secrets/credentials securely; enforce RBAC; align automation with relevant compliance requirements.

Collaboration & Enablement:

• Partner with Operations, Data, Engineering, and Product teams to identify automation opportunities; document solutions; evangelize best practices.

Monitoring & Support:

• Proactively monitor pipelines and services; triage incidents; drive root-cause analysis and corrective actions.

Qualifications

• Strong proficiency in Apache Airflow: creating, scheduling, and monitoring DAGs; task dependencies; sensors; operators; Airflow UI usage.
• Advanced Python and Shell (bash/zsh); writing maintainable, testable automation code.
• Solid understanding of SQL, query optimization, data validation patterns, and transactional safety.
• Experience with FTP/SFTP, checksum verification, encryption, and secure transfer patterns.
• Practical knowledge of log parsing, metrics, tracing, and alerting (e.g., building dashboards, threshold/condition-based alerts).
• Proficiency with Git (branching, PRs, code review).
• Familiarity with pipelines to build, test, and deploy automation safely and repeatably.
• Comfortable with REST/SOAP, auth flows (OAuth2, API keys), and pagination/rate-limits.
• Ability to design resilient jobs with retries/backoff, dead-letter queues, and structured logging.
• Secrets management (e.g., vaults), least-privilege access, auditability, and compliance awareness.

Requirements

• Experience with Docker and Kubernetes for packaging and running automation services.
• Exposure to AWS services (e.g., schedulers, queues, storage, serverless, IAM).
• Background in ETL/ELT, data quality checks, and lineage.
• Experience with tools like Splunk, Prometheus, Grafana, or similar.
• Infrastructure-as-code, configuration management, and environment standardization.

Benefits

• Flexible and generous Paid Time Off and Paid Volunteer Days
• 401k Employer Match
• Generous Healthcare Benefits
• Up to 12 weeks paid time off for maternity leave based on tenure
• Wellness & Tuition Reimbursement
• Flexible Work Arrangements
• Lots of SambaSafety swag & SambaSafety Events