Company Description

Grentis is a cutting-edge cloud-based SaaS platform designed to empower renewable energy plants with intelligent, autonomous decision engines. By integrating market, grid, weather, and plant telemetry data, Grentis offers tailored optimization for battery and generation assets, ensuring seamless decision-making and improved efficiency.

We operate in a data-heavy, real-time environment where reliability, scalability, and automation are critical.

Role Description

Type: Full-time

Model: Hybrid (Ankara, Türkiye)

Level: Mid/Senior

We’re looking for a DevOps Engineer who will own and evolve the infrastructure behind our optimization and decision engines.

You’ll design and operate secure, scalable, and repeatable cloud infrastructure; enable our data and ML teams to move fast; and make sure our systems stay observable, resilient, and cost-efficient as we grow.

What You'll Do

• Design and manage secure, repeatable, and scalable Infrastructure as Code (IaC) for production, staging, and test environments
• Orchestrate container-based services on Kubernetes (EKS/GKE/AKS); build container images and deployment pipelines
• Set up, maintain, and improve CI/CD pipelines (GitHub Actions / GitLab CI / Jenkins, etc.)
• Provide infrastructure for data pipelines that reliably ingest, process, and store high-volume time-series data from IoT & IT sources (OPC-UA, Modbus, MQTT, etc.)
• Build and optimize integrations for real-time / streaming workloads using Kafka / Kinesis / similar stream-processing solutions
• Deploy ML models to production (model serving), manage A/B testing, versioning, and MLOps workflows (e.g. Seldon, TF-Serving, MLflow)
• Ensure observability and monitoring (Prometheus, Grafana, ELK/Opensearch, Alertmanager) — metrics, logs, traces, and alert rules
• Manage backup, disaster recovery (DR), security (IAM, VPC, network security), cost optimization, and compliance (e.g. data retention, encryption-at-rest/in-transit)
• Participate in release management, rollout/rollback strategies, and on-call rotations; respond quickly to production incidents
• Collaborate closely with developers to build a secure and automated developer experience (dev environments, local tooling, secrets management)

What We Expect

• Bachelor’s degree in Computer Engineering or a related field, or equivalent practical experience
• 5+ years of experience in a DevOps / Site Reliability Engineering / Infrastructure Engineering role
• Advanced experience with Kubernetes and container technologies (Docker)
• Hands-on experience with IaC tools (Terraform, Pulumi, CloudFormation, etc.)
• Strong experience with at least one cloud provider (AWS, GCP, or Azure), particularly:
• VPC / networking
• IAM / security
• EKS/GKE/AKS
• Managed databases (RDS / similar)
• Object storage (S3 / Blob)
• Experience building and automating CI/CD pipelines
• Practical experience with monitoring and logging tools (Prometheus, Grafana, ELK/Opensearch, or similar)
• Solid knowledge of networking and security (TLS, VPN, firewall rules), IAM, and container security
• Experience developing infrastructure automation or operations tools in Python or Go
• Familiarity with Git and code review workflows
• Strong problem-solving skills and the ability to remain calm and structured under production pressure

Nice To Have

• Hands-on experience with SCADA protocols (OPC-UA, Modbus, DNP3, MQTT) or industrial IoT systems
• Experience with time-series databases (InfluxDB, TimescaleDB), Redis, Kafka or other streaming platforms
• MLOps / model serving experience (Seldon, BentoML, KFServing, MLflow, etc.)
• Security or cloud certifications (AWS, GCP, Azure)
• Proven success in automation, cost optimization, or observability improvements
• Good command of written and technical English

Why You'll Love To Work With Us

• You’ll build the core infrastructure of a data- and ML-heavy product from the ground up
• Real ownership: you’ll define and drive our DevOps / SRE practices, tooling, and standards
• Fast decision-making, no heavy bureaucracy, and a lean engineering team that actually ships
• High autonomy: your work directly impacts system reliability, performance, and costs
• Opportunity to be one of the foundational members of a growing product and engineering team

We would like to meet you if you’d like to build the infrastructure behind the control room of the future for renewable energy!