DevOps & Infrastructure Specialist (RARR Job 6303)

DevOps & Infrastructure Engineer Engineering 

• CI/CD Automation: Design, implement, and maintain zero-downtime deployment pipelines using GitHub Actions for Django microservices, Go stream consumers, and FastAPI ML engines.
• Container Orchestration: Architect, secure, and scale local and production container topologies using Docker, Docker Compose, and Kubernetes (EKS) networks.
• Multi-Engine Infrastructure Tuning: Optimize cloud environments handling diverse technical stacks—including Python/Django, high-throughput Go stream parsers, and specialized legacy data processing components written in Java.
• Data Layer Operations: Implement automated provisioning, clustering, and backup configurations for a hybrid database cluster featuring high-write ClickHouse time-series nodes and transactional PostgreSQL instances.
• Edge Ingestion Monitoring: Configure, scale, and maintain cloud routing layers for MQTT brokers and Kafka messaging clusters processing sub-minute inverter packets.
• Observability & Telemetry: Deploy comprehensive monitoring, logs collection, and real-time alerts across all system boundaries using Prometheus, Grafana, and the ELK stack.
• Security & Guardrails: Own multi-tier network topologies, secure VPC configurations, IAM lease access controls, secret encryption policies, and routine vulnerability scanning blocks.

Required Skills

• Cloud Orchestration: Deep production experience inside AWS ecosystems (EC2, RDS, S3, IAM, VPC networks, EKS, Route53).
• Infrastructure as Code (IaC): Solid understanding of Terraform or Ansible for provisioning stable, immutable staging and production setups.
• Container Fluency: Expert command over Dockerfile optimization, multi-stage builds, local container caching, and Kubernetes pod management.
• Polyglot Runtime Awareness: Strong competency configuring runtime environments, memory budgets, and dependency trees across Python, Go, and Java systems.
• Linux System Administration: Deep mastery over Bash scripting, network topology tracing, process isolation, SSH key management, and internal performance benchmarking.
• Messaging Infrastructure: Solid foundational experience provisioning, scaling, or troubleshooting distributed message buses (Apache Kafka or RabbitMQ) and pub/sub brokers.

Bonus Skills (Good to Have)

• Advanced ClickHouse/PostgreSQL Ops: Direct experience scaling time-series databases or configuring high-write replication setups.
• Java Ecosystem Monitoring: Familiarity with JVM tuning, garbage collection profiling, and monitoring metrics for enterprise Java backends.
• MQTT Scale Experience: Configuring clustering setups or load-balancer routes explicitly tailored for high-volume MQTT messaging traffic.

You'll Thrive Here If You

• Believe that any configuration step executed manually twice should immediately be converted into code.
• Prioritize highly observable, predictable, and resilient infrastructure choices over complex cutting-edge tooling.
• Can systematically trace performance issues across physical computing layers, application code boundaries, and cloud networks.
• Communicate with transparent, async-friendly precision within a cross-functional technical circle.

What You Get

• Total architecture-level ownership over a high-scale industrial IoT and automated machine learning infrastructure layer.
• Direct collaboration with core engineering leaders to establish the fundamental scaling policies of the brand.
• A flat team configuration where infrastructure decisions directly enable rapid velocity across web, mobile, and machine learning teams.