Mozn

MOZN is an enterprise AI company that has helped 100+ organizations make critical and informed decisions through specialized AI, in two key areas: Financial Crime Prevention and Enterprise Knowledge Intelligence

Internet Software & Services

Information Technology

51-250 (180)

2 open positions

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Senior Site Reliability Engineer

1 week, 3 days ago

Egypt

Full-time

Senior

Site Reliability Engineer (SRE)

DevOps and Infrastructure

Ansible AWS Azure Datadog Docker ELK Stack Grafana Kubernetes PagerDuty Prometheus Python Terraform

Apply Now

Mozn

Internet Software & Services

51-250

View All Jobs 2

Description

Participate in the on-call rotation, investigate and resolve incidents, perform root cause analysis, and document outcomes.
Debug application code and business logic, and ship fixes or pull requests when reliability issues belong in service repositories.
Design, build, and deploy LLM-based agents integrated with Kubernetes, cloud APIs, observability platforms, PagerDuty, and Slack.
Define agent tool interfaces and create secure wrappers for APIs, scripts, and read/write production actions.
Establish autonomy boundaries, approval gates, rollback paths, and human-in-the-loop controls for each agent.
Define agent correctness and safety criteria and build evaluation and backtesting suites using historical incidents.
Tune prompts, context, and tool schemas as agent capabilities and scope expand.
Collaborate with SRE and platform teams to identify repetitive, auditable workflows suitable for automation.
Measure agent impact through MTTD, MTTR, MTTX, error rates, and engineer-hours of toil removed.
Maintain security and compliance controls, including audit trails, least-privilege production access, and Saudi data residency requirements.

Requirements

3+ years of experience building production software with LLMs, including agentic workflows, tool or function calling, multi-step planning, and RAG.
Hands-on experience delivering production work with Claude Code, OpenAI Codex, Kimi K2/K3, or a comparable agentic coding tool.
Strong Python or similar programming skills for agent tooling, API wrappers, and orchestration.
Hands-on SRE experience as an on-call responder, including incident response and root cause analysis.
Ability to read and debug application code and trace failures to the underlying logic before shipping fixes.
Experience with Kubernetes, a cloud provider such as AWS, GCP, OCI, or Azure, and observability tools including Prometheus, Grafana, Datadog, or ELK.
Understanding of autonomous-system guardrails, permissioning, approval gates, rollback procedures, and auditability.
Ability to build trust with technical stakeholders and increase agent autonomy responsibly.
Experience in Saudi Arabia or the MENA region, ideally consulting for public- or private-sector clients, is preferred.
Familiarity with Terraform, Ansible, Docker, virtual machines, on-premises environments, LLM agent evaluation, ML engineering, LLMOps, or platform engineering is preferred.

Benefits

Competitive compensation and top-tier health insurance.
High responsibility, autonomy, and trust in decision-making.
Collaborative workplace alongside AI specialists.
Inclusive culture that supports individual differences and professional growth.
Opportunity to work at a high-growth enterprise AI company in the Middle East.

Interested in this position?

Apply directly on the company website

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