Инженер DevOps (Kafka) /Kafka Engineer

About the role

About the company

Context

Responsibilities

What you will do

• Work with the cloud infrastructure (primarily GCP) and the bare-metal fleet that host our data, ML and AI workloads
• Build and maintain CI/CD pipelines for services and models
• Run and troubleshoot containerised workloads on Kubernetes
• Set up and improve monitoring, alerting and logging, and act on what they show
• Automate repetitive operational work with Python or Bash instead of repeating it
• Support model training and inference workloads: environments, resources, deployment, cost
• Investigate incidents in infrastructure and pipelines and help find root causes
• Improve the reliability and cost efficiency of the platform
• Work within SAMA regulatory requirements: in Saudi fintech, where data lives and who can reach it is part of the engineering problem, not paperwork someone else handles

What you will actually work with

• Data: CDC pipelines, BigQuery, Airflow
• ML: Airflow, ClearML and similar orchestration and experiment tooling
• AI: bare-metal GPU servers, vLLM, open-source models served in-house
• Platform: GCP, Kubernetes, Linux, networking
• Context: SAMA regulations

Qualifications

Required

• Solid Linux fundamentals: filesystem, processes, permissions, networking basics, comfortable in the shell
• Hands-on experience with at least one cloud provider, evidenced by something you actually built or deployed. We run on GCP, so GCP experience is the most directly useful, but AWS or Azure evidence counts: the concepts transfer, and we would rather have someone who has really built something on one cloud than someone who has clicked around ours
• Understanding of networking: DNS, TCP/IP basics, load balancing, what happens between a request and a service
• Working knowledge of containers, and enough Kubernetes to deploy and debug a workload
• Familiarity with monitoring and observability concepts: metrics, logs, alerts and what makes an alert useful
• Python or Bash sufficient to automate operational tasks
• Experience with Git and standard development workflows
• Real, current use of AI tools in your own engineering work: which tools, for what, and an informed view of which models suit which task. We would rather hear an honest comparison than a list of names
• Structured thinking and attention to correctness
• Open to constructive feedback
• English sufficient for documentation and team communication

Strong plus

• Infrastructure as code (Terraform or similar)
• Experience running a CI/CD system end to end (GitLab CI, GitHub Actions or similar)
• An observability stack in practice: Prometheus, Grafana or equivalents
• Exposure to MLOps tooling: experiment tracking, model registries, feature stores, inference serving
• Has tried to run an open-source model themselves (on a laptop, a rented GPU, anything) and can explain how LLMs actually work rather than just which API they called
• Any experience with GPU workloads, or with the cost side of running them
• Interest in platform design and developer experience

Eligibility

• Saudi nationals only
• We welcome both current students and fresh graduates
• We expect a full-time level of engagement. The programme is not part-time. Students can align time for classes or exams with their mentor in advance, but performance, ownership and involvement are expected at a full-time level

Benefits

• Six months, starting autumn 2026
• Paid internship, funded by Tabby
• Full integration into an engineering team
• Distributed engineering team across multiple countries
• A path to a junior role on the platform side afterwards. That is our intent and what we aim for, not a guarantee: it depends on how the internship goes

About the role

Responsibilities

• Manage and maintain servers and systems (Linux).
• Attend meetings with regulatory representatives and engage in clear, professional communication. 
• Perform infrastructure maintenance tasks in Saudi Arabia. 
• Design scalable and reliable cloud infrastructure
• Create a cloud platform suitable for running software services
• Automate infrastructure provisioning
• Ensure the smooth operation of and participate in emergency response situations for outages in our infrastructure
• Security hardening (PCI-DSS)
• Observability and monitoring improvement

Qualifications

Benefits

• A working environment that gives you autonomy and responsibility from day one.
• Great learning opportunity to work with world-class Senior DevOps.
• Participation in the company’s employee stock options program.
• Competitive salary and other bonuses
• Health Insurance

About TaxDome

How we work

About this role

Our tech stack:

• Ruby on Rails, React.js
• PostgreSQL
• AWS (VPC, IAM, EKS, RDS, OpenSearch, CloudWatch, ElastiCache, CloudFront, AWS Secrets Manager)
• Kubernetes
• GitLab CI, Helm
• Autoscaling & Capacity Management: Kubernetes Autoscaler, Karpenter
• Cloudflare (CDN, DNS, WAF, security and traffic management)
• Monitoring & Observability: Prometheus Stack, VictoriaMetrics, Datadog, AWS CloudWatch
• Unix/Linux

What you’ll be responsible for

• Design, build, and operate reliable production infrastructure for a high-load SaaS product;
• Own the full lifecycle of environments: development, staging, and production;
• Develop and evolve Kubernetes-based platform (EKS), including networking, security, scaling, and capacity management;
• Implement and maintain Infrastructure as Code using Terraform as a single source of truth;
• Build, maintain, and improve CI/CD pipelines using GitLab CI and Helm;
• Participate in system architecture design, propose and implement infrastructure and platform improvements;
• Ensure high availability, performance, and fault tolerance of services;
• Implement and evolve observability: metrics, logs, traces, alerting, and SLO-driven monitoring;
• Actively participate in production operations: incident response, root-cause analysis, postmortems, and preventive actions;
• Work closely with development teams, providing DevOps expertise during design, debugging, and delivery phases;
• Drive DevOps best practices across teams: automation, standardization, security, and operational excellence.

Examples of interesting tasks 

• Disaster Recovery — building a ready-to-go recovery process for every service, plus HA failover between availability zones across all services
• Multi-Region Disaster Recovery
• Growing our service infrastructure and CI/CD — the company ran on a monolith for a long time; we're now moving to a hybrid architecture
• Service Mesh
• Switching incident-management platforms and building the processes around it
• Moving to KEDA as a single autoscaling layer based on custom metrics
• Migrating remaining infrastructure workloads to ARM

What you bring

Must-have

• 6+ years of experience in a DevOps / SRE role;
• Strong hands-on experience managing production infrastructure in AWS;
• Confident knowledge of Kubernetes (cluster deployment, configuration, administration);
• Experience building and maintaining CI/CD pipelines for product teams
• Solid experience with Infrastructure as Code approaches (Terraform);
• Experience designing and operating autoscaling and capacity management solutions;
• Ability to set up and operate monitoring, logging, and alerting systems;
• Experience with infrastructure and application security, access control, secrets management, and security best practices;
• Cloud cost optimization and capacity planning (FinOps mindset);
• Proactive ownership of infrastructure evolution and technical improvements beyond assigned tasks;
• Strong troubleshooting skills and a high level of ownership.

What we offer

• Competitive compensation, paid in USD, shared on Recruiter screen
• Performance-based incentive plan
• Fully remote work with flexible hours
• 30 paid days off annually, plus sick days as needed
• Health & well-being support
• Learning & development budget to support your professional growth
• English lessons reimbursement
• Co-working space reimbursement 
• Company-provided equipment (conditions may vary depending on the role)
• A high level of autonomy and ownership in your work
• The opportunity to make a real impact in a fast-growing global SaaS company
• A collaborative, international team with a strong product mindset