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: Solid 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.

Youll 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DevOps Professional (Gurugram)
🏢 RARR Technologies
📍 Gurugram