Company Description

Peryx.ai is building an intelligence platform for renewable-energy operations. We transform complex industrial data into trusted, actionable insights that help teams make better operational decisions with confidence and human oversight.

About the role

We are looking for an IoT & DevOps Engineer to help build the initial data-ingestion and streaming foundation of the Peryx platform.

You will work across IoT connectivity, distributed data streaming, cloud infrastructure and platform reliability. The architecture will combine an open-source-first technology stack with selectively chosen partially and fully managed cloud services.

The ideal candidate is comfortable building systems hands-on, evaluating infrastructure trade-offs and operating reliable data pipelines in a fast-moving startup environment.

What you will buildYou will contribute to an ingestion platform that:

Receives telemetry from solar plants, gateways and simulators.

Supports MQTT and HTTPS-based data ingestion.

Buffers and safely replays data during connectivity failures.

Moves high-volume events through MQTT brokers and streaming platforms.

Validates, deduplicates and routes incoming data.

Stores processed telemetry in operational databases.

Provides monitoring, inspection and observability across the complete pipeline.

Can gradually move between self-managed, partially managed and fully managed services as scale increases.

Key reponsibilitiesDesign, deploy and operate industrial data-ingestion infrastructure.

Configure and manage MQTT brokers such as EMQX or similar technologies.

Build and maintain Kafka-based event-streaming pipelines and bridge workers.

Evaluate and integrate technologies such as Apache Kafka, Apache NiFi and AWS Kinesis.

Containerize services using Docker and manage deployments using Kubernetes or equivalent orchestration platforms.

Build infrastructure and deployment automation for cloud and hybrid environments.

Configure high availability, load balancing, replication, retries and failure recovery.

Manage PostgreSQL, TimescaleDB or similar operational databases.

Implement secure device and service communication using MQTT, HTTPS and TLS.Establish monitoring using tools such as Prometheus, Grafana, Kafka UI/Kafbat and message-inspection utilities.

Support capacity planning, performance testing, incident investigation and production troubleshooting.

Document architectural decisions, operational procedures and deployment workflows.

Collaborate with backend, data and domain teams to define reliable ingestion contracts.

Required experience

Practical experience with Linux, networking and cloud infrastructure.

Strong understanding of Docker and containerized deployments.

Working knowledge of Kubernetes and distributed application operations.

Experience with at least one major cloud provider, preferably AWS.Basic understanding of data-streaming concepts such as topics, partitions, consumers, offsets, retention, replay and delivery guarantees.

Familiarity with Apache Kafka and the broader Apache data ecosystem.

Experience managing relational databases such as PostgreSQL.Understanding of CI/CD, infrastructure automation, logging, monitoring and alerting.

Ability to troubleshoot failures across applications, networks, containers and databases.

Demonstrated experience working with open-source technologies. Open-source expectationCandidates should have either:

Contributed code, documentation, testing or issue resolutions to an open-source project; orMeaningful hands-on experience deploying, extending or operating open-source infrastructure.

Please include links to relevant GitHub repositories, pull requests, technical articles or community contributions where available. Good to haveExperience with MQTT brokers such as EMQX, Mosquitto or HiveMQ.Understanding of MQTT QoS, persistent sessions, retained messages and topic design.

Experience with Apache NiFi, Kafka Connect, Kafka Streams or AWS Kinesis.

Knowledge of HAProxy, NGINX or similar load-balancing technologies.

Experience with PostgreSQL time-series workloads or TimescaleDB.Understanding of local buffering, ordered replay, idempotency and deduplication.

Exposure to industrial IoT, SCADA, solar-energy systems, manufacturing or utility telemetry.

Experience ingesting data from devices, gateways, PLCs, meters, inverters or weather-monitoring systems.

Knowledge of Terraform, Helm, GitOps or infrastructure-as-code practices.

Familiarity with managed Kafka, container and database services on AWS. What success looks likeDuring the initial phase, you will help Peryx establish a secure and observable ingestion layer capable of receiving industrial telemetry, surviving temporary failures, replaying buffered data and reliably delivering events for downstream processing.

The system should be easy to operate today while providing a clear path to scale and adopt managed services where they create meaningful operational value. Who will succeed in the roleYou will be a strong fit if you:

Enjoy building infrastructure rather than only configuring vendor products.

Can make practical trade-offs between reliability, cost and complexity.

Are comfortable working with incomplete requirements and converting them into working systems.

Prefer evidence, testing and observability over assumptions.

Take ownership of systems from initial design through deployment and production operation. Why join PeryxYou will help build the foundational infrastructure behind an industrial intelligence platform from an early stage. Your decisions will directly shape how renewable-energy data is collected, protected, processed and scaled across the platform.