Senior DevOps Engineer at Brewtopia, LLC

, , Turkey -

Full Time

Start Date

Immediate

Expiry Date

28 Jul, 26

Salary

0.0

Posted On

29 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, DevOps, Platform Engineering, AWS, Azure, Terraform, Ansible, CI/CD, Linux, Observability, Kafka, GitOps, Infrastructure as Code, Distributed systems, Container orchestration, AIOps

Industry

Software Development

Description

At Evam, we’re reshaping how enterprises engage with their customers, enabling real-time, data-driven interactions at scale. From our HQ in London and offices in Amsterdam and Istanbul, we help leading Telcos, banks, and global brands connect with over 500 million people every month, delivering the right message at the right moment. Our AI-powered event processing engine and real-time machine learning capabilities turn complex customer data into instant, personalized experiences that drive measurable business outcomes across every channel. Recognized as a Forbes Türkiye Top 50 Startup, an Endeavor High-Impact Venture, and a Mar-Tech Awards winner, Evam is also proudly a Happy Place to Work. We’re building a platform that runs mission-critical production workloads at scale. If you enjoy owning Kubernetes platforms, designing reliable delivery pipelines, and leading incident learnings into system fixes, you’ll fit here. This is a platform-ownership role, not a ticket queue, so we're looking for a talented Senior DevOps Engineer to join our development team! * 5+ years of hands-on experience in DevOps, SRE, Platform Engineering, or Infrastructure Engineering in production environments * Strong Kubernetes and container orchestration experience (cluster lifecycle, networking, storage, performance, troubleshooting) * Experience operating cloud environments (AWS and/or Azure), ideally multi-cloud * Proficiency in Infrastructure as Code (Terraform, Ansible) and automated platform management * Experience designing and operating CI/CD pipelines (Jenkins, GitHub Actions, or similar) * Strong Linux and scripting skills with confidence in distributed systems troubleshooting * Experience with observability stacks (metrics, logs, traces) and production monitoring practices * Familiarity with running AI/ML or data-intensive workloads on Kubernetes platforms is a plus * Exposure to AIOps, anomaly detection, or AI-assisted observability approaches is a plus * Clear communication skills and documentation mindset * BSc/MSc in Computer Science or equivalent practical experience Nice to Have: * Experience with event-driven architectures and Kafka at scale * Observability tooling: Prometheus, Grafana, SigNoz, OpenTelemetry, Mimir, OneUptime * Database operations (PostgreSQL, MongoDB, Redis, Elasticsearch) * Experience in fintech, banking, or regulated industries * GitOps tooling (ArgoCD, Flux) and DevSecOps practices * Experience supporting AI/ML workloads on Kubernetes (Kubeflow, KServe, model serving, GPU scheduling) * Familiarity with MLOps lifecycle (model deployment, monitoring, versioning) * JVM-based containerized applications * Relevant certifications (CKA, CKS, AWS, Azure) * Design, operate, and scale Kubernetes platforms across AWS, Azure, and bare-metal environments, supporting 50+ microservices * Own and improve CI/CD and GitOps-based delivery pipelines, enabling safe, zero-downtime releases * Build and evolve observability (metrics, logs, traces) to ensure deep visibility and rapid incident detection across distributed systems * Implement autoscaling, self-healing, and resilience patterns across services and infrastructure * Collaborate with data and ML teams to operate and scale real-time ML and inference workloads on Kubernetes * Enhance monitoring and incident detection using AI-assisted analysis and anomaly detection techniques * Integrate security controls and scanning into pipelines and platform layers (DevSecOps) * Lead incident response, root cause analysis, and postmortems that drive systemic reliability improvements * Build self-service platform tooling and documentation that enable developers to ship safely and fast Our Stack Here’s what you’ll work with day to day: Orchestration: Kubernetes, Docker, Docker Swarm Cloud: AWS, Azure Cloud Services: EKS, ECR, ALB, WAF CI/CD: Jenkins, Git, Nexus IaC: Terraform, Ansible Observability: SigNoz, Prometheus, Grafana, Alertmanager, Elasticsearch Messaging: Kafka Databases: PostgreSQL, MongoDB, Redis, Elasticsearch Networking: Istio, reverse proxy, TLS, load balancing Security: Trivy, Grype, Snyk, Fortify

Responsibilities

You will design, operate, and scale Kubernetes platforms across multi-cloud environments while managing CI/CD pipelines for zero-downtime releases. Additionally, you will collaborate with data teams to support real-time ML workloads and lead incident response to ensure systemic reliability.