observability engineer

Devsinc

<div>
 We are looking for a
 
 high-impact Observability Engineer
 
 with proven experience in
 
 fintech, banking, or other regulated environments
 
 to design and scale enterprise-grade observability systems. This role is critical in ensuring
 
 high availability, low latency, and full-stack visibility
 
 across mission-critical financial platforms, while supporting
 
 compliance, auditability, and incident response readiness
 
 .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Own and evolve the end-to-end observability architecture across applications, infrastructure, and cloud environments
 </li>
 <li>
 Centralize metrics, logs, traces, and events with high reliability and scalability
 </li>
 <li>
 Design and enforce SLOs, SLIs, and error budgets for critical financial systems
 </li>
 <li>
 Build advanced real-time dashboards and business-aligned KPIs for engineering and leadership
 </li>
 <li>
 Develop intelligent alerting frameworks to minimize noise and enable faster incident resolution
 </li>
 <li>
 Ensure observability pipelines are resilient, scalable, and cost-optimized
 </li>
 <li>
 Collaborate with DevOps and engineering teams to implement instrumentation, distributed tracing, and logging standards
 </li>
 <li>
 Integrate observability systems with incident management, on-call, and escalation workflows
 </li>
 <li>
 Support compliance, audit, and forensic analysis through structured logging and traceability
 </li>
 <li>
 Drive root cause analysis (RCA) and continuous improvement of system reliability
 </li>
 <li>
 Automate monitoring, alerting, and data enrichment workflows
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 6 to 10 years of experience in Observability, SRE, or Monitoring Engineering roles
 </li>
 <li>
 Mandatory experience in fintech, banking, or highly regulated environments
 </li>
 <li>
 Strong hands-on expertise with:
 </li>
 <ul>
 <li>
 Monitoring: Dynatrace, Prometheus, Grafana
 </li>
 <li>
 Logging: Elastic Stack (ELK), Splunk, Fluentbit, Logstash
 </li>
 <li>
 Alerting &amp; Correlation: Dynatrace, ELK, Splunk Alertmanager
 </li>
 </ul>
 <li>
 Proficiency in PromQL, SPL, KQL for advanced log/metric analysis
 </li>
 <li>
 Experience developing high-performance, scalable dashboards in Grafana and Kibana, integrating application, infrastructure, and business KPIs for end-to-end observability
 </li>
 <li>
 Deep understanding of distributed systems observability and performance monitoring
 </li>
 <li>
 Experience with high-throughput, low-latency systems
 </li>
 <li>
 Experience with enterprise monitoring tools such as Riverbed and SolarWinds for network performance monitoring (NPM), application visibility, traffic analysis, and infrastructure health tracking across distributed systems
 
 
 </li>
 </ul>
 
 Core Expertise:
 
 
 
 <ul>
 <li>
 Observability pillars: metrics, logs, traces, events
 </li>
 <li>
 Golden signals: latency, traffic, errors, saturation
 </li>
 <li>
 SLO/SLI-driven reliability engineering
 </li>
 <li>
 Alert design with high signal-to-noise ratio
 </li>
 <li>
 Telemetry standardization and instrumentation strategies
 </li>
 <li>
 Mapping technical metrics to financial/business KPIs
 
 
 </li>
 </ul>
 
 Preferred Qualifications and FinTech Alignment:
 
 
 
 <li>
 Proven experience supporting audit, compliance, and regulatory requirements within fintech, banking, or other regulated environments
 </li>
 <li>
 Strong familiarity with industry frameworks such as:
 </li>
 <ul>
 <li>
 PCI DSS
 </li>
 <li>
 ISO 27001
 </li>
 <li>
 SAMA / NCA
 </li>
 <li>
 Solid understanding of data sensitivity, traceability, and audit logging standards for financial systems
 </li>
 <li>
 Experience working on large-scale fintech or digital banking platforms
 </li>
 <li>
 Exposure to CI/CD-integrated observability and DevSecOps practices
 </li>
 <li>
 Proficiency in scripting and automation (Python, Bash)
 </li>
 <li>
 Hands-on experience with incident management and on-call frameworks (e.g., PagerDuty, Opsgenie)
 
 
 </li>
 </ul>
 
 What We're Looking For:
 
 
 
 <ul>
 <li>
 A proactive engineer with a strong reliability and performance mindset
 </li>
 <li>
 Ability to translate observability data into actionable insights
 </li>
 <li>
 Experience working cross-functionally with SRE, DevOps, and product teams
 </li>
 <li>
 Ownership-driven individual focused on continuous improvement of monitoring systems
 </li>
 </ul>
</div>

Senior Observability Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
About the Role
The APM &amp; Observability Engineer sets up monitoring hooks (AppDynamics, HP BSM), correlates application metrics with load profiles, identifies bottlenecks at application, database, and infrastructure layers, and provides actionable tuning recommendations. This role ensures performance visibility across every layer of the Client's technology stack.
Key Responsibilities<ul><li>Configure and maintain monitoring hooks using AppDynamics, HP BSM, and/or Grafana for performance test observability.</li><li>Correlate application-level metrics (response times, error rates, thread pools) with infrastructure metrics (CPU, memory, DB connections) during load tests.</li><li>Identify bottlenecks at application, database, middleware, and infrastructure layers during performance cycles.</li><li>Provide specific, actionable tuning recommendations based on observed metrics and thresholds.</li><li>Set up centralised performance metrics dashboards for real-time visibility during test execution.</li><li>Support post-deployment smoke performance validation during low-traffic production windows.</li><li>Document monitoring setup and facilitate knowledge transfer for the Client's operations team.</li></ul> 
Requirements<ul><li> 
6+ years of APM/observability engineering experience.</li><li>Hands-on proficiency with AppDynamics, Dynatrace, or equivalent enterprise APM platforms.</li><li>Experience with Grafana, Prometheus, or ELK stack for dashboard creation and alerting.</li><li>Strong understanding of application architectures: microservices, API gateways, middleware, database layers.</li><li>Experience correlating distributed system metrics under load conditions.</li><li>Knowledge of HP BSM monitoring for infrastructure-level observability.</li><li>Preferred Certifications: AppDynamics Certified Professional, Dynatrace Associate, Grafana Certified.</li></ul>
Why Join CodeNinja?<ul><li>Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.</li><li>Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.</li><li>Collaborate with world-class QA professionals across onsite and offsite delivery models.</li><li>Access to continuous upskilling &mdash; certifications, AI/ML tooling, and emerging QA methodologies.</li><li>Competitive compensation with performance-linked incentives and career progression pathways.</li><li>A culture that values technical excellence, ownership, and innovation without bureaucracy.</li></ul>
Disclaimer
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.</div>

APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

Systems Limited

<div>
 
 
 I
 
 deal candidate for this role is a hands-on DevOps Engineer with strong experience in CI/CD, Kubernetes, and cloud infrastructure, particularly on Alibaba Cloud, responsible for re-engineering pipelines, automating deployments, and managing observability in a large-scale cloud migration environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Re-engineer Jenkins CI/CD pipelines for Alibaba Cloud using ROS and Terraform.
 </li>
 <li>
 Manage Bitbucket workflows and configure pipeline integrations with Alibaba Cloud services (ECS, ACK, Function Compute).
 </li>
 <li>
 Administer ACK (Kubernetes) clusters including deployments, upgrades, RBAC, and Helm charts.
 </li>
 <li>
 Implement GitOps workflows using ArgoCD or Flux.
 </li>
 <li>
 Manage container lifecycle via Alibaba Container Registry (ACR).
 </li>
 <li>
 Migrate and maintain monitoring and observability stacks (Prometheus, Grafana, ARMS, CloudMonitor).
 </li>
 <li>
 Configure logging and alerting using Alibaba Cloud Log Service (SLS) and MNS.
 </li>
 <li>
 Provision environments and automate deployments using Infrastructure as Code (IaC).
 </li>
 <li>
 Maintain documentation, pipelines, and operational runbooks.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 4&ndash;7 years of experience in DevOps / Platform Engineering.
 </li>
 <li>
 Strong hands-on experience with Jenkins, CI/CD pipelines, and automation.
 </li>
 <li>
 Expertise in Kubernetes, Docker, and Helm (ACK/EKS preferred).
 </li>
 <li>
 Experience with Terraform or ROS (IaC).
 </li>
 <li>
 Strong scripting skills (Python, Bash).
 </li>
 <li>
 Experience with monitoring and observability tools (Prometheus, Grafana).
 </li>
 <li>
 Understanding of cloud security practices (IAM/RAM, WAF, secrets management).
 </li>
 <li>
 Relevant certification such as ACA &ndash; Cloud Computing.
 </li>
 </ul>
 
 
</div>

DevOps Engineer - Alibaba Cloud

Faze 3 Consulting

AI/ML/DevOps EngineerOwn the MLOps platform that powers enterprise AI at scale.A leading Abu Dhabi-based holding group is hiring an AI/ML/DevOps Engineer to architect, operate, and continuously improve the end-to-end MLOps and LLMOps platform for a flagship enterprise AI programme. You'll be the technical authority reviewing, governing, and signing off CI/CD, data and model pipelines, infrastructure, deployment, security, and observability &mdash; ensuring secure, scalable, and compliant delivery across environments. Reports to the AI Product Manager within the AI Excellence Centre.What you'll own:<ul><li>Own the end-to-end MLOps/LLMOps reference architecture: ingestion &rarr; validation &rarr; feature and embedding pipelines &rarr; training and fine-tuning &rarr; evaluation &rarr; registry &rarr; deployment &rarr; monitoring &mdash; including RAG and agentic workflows.</li><li>Architect, review, and approve CI/CD for ML and LLM systems: code, data, prompt, and model artifact versioning; build and release pipelines (Azure DevOps / GitHub Actions); automated unit, integration, and contract testing; and promotion/rollback (blue-green / canary) across dev, test, and production.</li><li>Define and govern AI platform foundations on Azure: IaC (Bicep/Terraform), AML workspaces, AKS GPU node pools and scheduling, private networking (VNet integration / Private Link), identity (Managed Identities / PIM), secrets (Key Vault), and encryption and data residency controls.</li><li>Review and approve production deployment patterns for model and LLM serving (AKS / KServe / AML online endpoints), including containerization, inference optimization (batching, quantization where applicable), API management, autoscaling, resiliency, and RAG runtime components (vector store, retriever, re-ranker, cache).</li><li>Own observability and reliability for AI services: OpenTelemetry tracing, prompt and inference logs (with PII controls), latency/throughput/cost metrics, SLOs/SLIs, model performance monitoring, data and model drift detection, and LLM evaluations (quality, hallucination checks, toxicity and safety guardrails) with incident playbooks.</li><li>Establish and enforce MLOps/LLMOps governance: dataset lineage, data quality validation (schema and tests), feature store and model registry standards, artifact provenance (SBOM/SLSA), vulnerability scanning, approval gates for model and prompt releases, and compliance-aligned documentation for model risk (intended use, limitations, evaluation results).</li><li>Enable delivery squads &mdash; including the primary delivery partner &mdash; with &quot;golden path&quot; templates (AML pipelines, RAG blueprints, evaluation harnesses), reusable IaC modules, and coding standards; run deep technical design and architecture reviews and sign off production readiness (capacity, security, observability, DR) for all AI releases.</li><li>Support the Run &amp; Operate model by enabling issue triage and minor enhancement workflows (ticket intake &rarr; fix &rarr; controlled release), ensuring changes follow the same release governance and quality gates.</li><li>Own the Operational Acceptance Gate: no production release without runbooks, monitoring dashboards, incident playbooks, access model, and DR test evidence.</li></ul>Scope clarity: you provide platform standards, review, and sign-off &mdash; you do not replace the delivery partner's engineering, but you enforce the &quot;golden path&quot; and production readiness bar.What you bring:<ul><li>8&ndash;10 years across DevOps, SRE, and/or ML Engineering with production systems on Azure.</li><li>Hands-on experience with Azure ML, AKS, Azure DevOps or GitHub Actions, IaC, and containerization.</li><li>Bachelor's in Computer Science, Engineering, or equivalent experience.</li></ul>Core skills required:<ul><li>Python, YAML, Docker, Helm, KQL; GitOps (Argo/Flux) awareness.</li><li>Security in CI/CD: SAST/DAST, supply-chain security (Sigstore), secrets management (Key Vault).</li><li>Performance testing (k6 / JMeter), contract testing, and E2E testing.</li><li>Cost optimization and capacity planning for GPU and CPU workloads.</li><li>Strong grasp of model serving, inference optimization, and observability tooling.</li></ul>Required certification:<ul><li>Microsoft Certified: DevOps Engineer Expert (AZ-400)</li></ul>Preferred certifications:<ul><li>Microsoft Certified: Azure Administrator (AZ-104) or Solutions Architect (AZ-305)</li><li>CKA or CKAD (Kubernetes)</li></ul>Location: Abu Dhabi, UAEEmployment Type: Permanent, Full-timeExperience: 8&ndash;10 yearsSalary Range: 25,000 - 33,000 (AED per month)Pay: AED25,000.00 - AED33,000.00 per monthWork Location: In person

AI/ML/DevOps Engineer

TAT IT Technolgies

<div>
 
 Urgent requirement for
 
 
 OpenShift DevSecOps Engineer with experience in Banking Domain
 
 
 is required for our banking clients in
 
 
 Kuwait
 
 
 
 <ul>
 <li>
 Strong experience in Installation, upgrade, and day-2 operations of Red Hat OpenShift Must
 </li>
 <li>
 Strong experience in DevSecOps CI/CD &amp; GitOps &ndash; End-to-End Automation Ownership is Must
 
 
 </li>
 </ul>
 
 Strong experience in Kubernetes &amp; Container Security
 
 
 is Must
 
 
 
 
 Strong experience on enterprise IAM &amp; compliance environment
 
 
 is MUST
 
 
 
 
 Preferably Red Hat OpenShift Administration certified
 
 
 
 The DevSecOps / OpenShift Platform Engineer is responsible for implementing DevSecOps practices across the Software Development Life Cycle (SDLC), designing and operating secure container platforms, and enabling automated, secure, and scalable application delivery. The role focuses on
 
 Red Hat OpenShift administration
 
 ,
 
 CI/CD and GitOps enablement
 
 , and
 
 platform security and observability
 
 in collaboration with infrastructure, network, and security teams.
 
 
 Key Responsibilities
 
 
 DevSecOps &amp; Automation
 
 
 <ul>
 <li>
 Implement DevSecOps practices across the SDLC by integrating security tools into automated CI/CD pipelines.
 </li>
 <li>
 Design, implement, and maintain CI/CD pipelines using tools such as:
 </li>
 <ul>
 <li>
 Jenkins
 </li>
 <li>
 GitLab CI
 </li>
 <li>
 Argo CD
 </li>
 <li>
 Tekton
 </li>
 </ul>
 <li>
 Enable and enforce GitOps practices for application and platform deployments.
 </li>
 <li>
 Automate build, test, deployment, rollback, and release processes.
 </li>
 <li>
 Integrate CI/CD pipelines with OpenShift security and policy controls.
 
 </li>
 </ul>
 Container Platform &amp; OpenShift Operations
 
 
 <ul>
 <li>
 Deploy, operate, and secure containerized workloads on an enterprise Container Management Platform.
 </li>
 <li>
 Install, configure, upgrade, and manage Red Hat OpenShift clusters.
 </li>
 <li>
 Manage cluster lifecycle, node health, capacity planning, scaling, and performance optimization.
 </li>
 <li>
 Design and maintain multi-tenant OpenShift environments with proper isolation, governance, and resource controls.
 </li>
 <li>
 Troubleshoot complex platform issues across:
 </li>
 <ul>
 <li>
 Control plane
 </li>
 <li>
 Networking
 </li>
 <li>
 Storage
 </li>
 <li>
 Application workloads
 
 </li>
 </ul>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Enforce OpenShift and Kubernetes security best practices, including:
 </li>
 <ul>
 <li>
 RBAC
 </li>
 <li>
 Security Context Constraints (SCC)
 </li>
 <li>
 Network Policies
 </li>
 <li>
 Secrets management
 </li>
 </ul>
 <li>
 Integrate OpenShift with enterprise security tools such as:
 </li>
 <ul>
 <li>
 Vault for secrets management
 </li>
 <li>
 Prisma or other container security platforms
 </li>
 </ul>
 <li>
 Manage authentication and authorization using AD/LDAP, OAuth, and SSO.
 </li>
 <li>
 Support vulnerability scanning, image signing, and compliance requirements.
 </li>
 <li>
 Ensure secure configuration and continuous compliance of the platform.
 
 </li>
 </ul>
 Observability &amp; Reliability
 
 
 <ul>
 <li>
 Implement and manage observability and monitoring tools, including:
 </li>
 <ul>
 <li>
 Prometheus
 </li>
 <li>
 Alertmanager
 </li>
 <li>
 Grafana
 </li>
 <li>
 EFK / Loki stacks
 </li>
 </ul>
 <li>
 Monitor platform health, availability, and performance.
 </li>
 <li>
 Perform root cause analysis for incidents and implement preventive improvements.
 
 </li>
 </ul>
 Collaboration &amp; Stakeholder Engagement
 
 
 <ul>
 <li>
 Collaborate closely with infrastructure, network, and security teams to align platform architecture and standards.
 </li>
 <li>
 Provide guidance and support to application and development teams on DevSecOps best practices.
 </li>
 <li>
 Participate in platform design reviews and continuous improvement initiatives.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Red Hat OpenShift administration and operations.
 </li>
 <li>
 Solid understanding of Kubernetes architecture and container orchestration.
 </li>
 <li>
 Proven experience implementing DevSecOps and CI/CD pipelines.
 </li>
 <li>
 Experience with GitOps tools and methodologies.
 </li>
 <li>
 Strong troubleshooting skills across platform, network, and application layers.
 </li>
 <li>
 Experience with security controls, compliance, and enterprise authentication mechanisms.
 </li>
 <li>
 Knowledge of observability, monitoring, and logging solutions
 
 
 </li>
 </ul>
 Skills: devsecops,bank,openshift
</div>

OpenShift DevSecOps Engineer with experience in Banking Domain

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for an
 
 Engineering Manager
 
 to join Procore&rsquo;s
 
 Runtime Platform Services
 
 engineering department. In this role, you&rsquo;ll lead a newly formed engineering pod of engineers based in Cairo focused on Observability Enablement. Your mission is to act as the bridge between our platform and our people. You will lead a team that functions like Forward Engineers and Developer Relations (DevRel) specialists, embedding directly with Procore&rsquo;s product engineering teams to overhaul their observability experience and drive the adoption of OpenTelemetry.
 
 
 As an Engineering Manager, you&rsquo;ll partner with Product Managers, Platform Architects, and Product Engineering leads to ensure our observability platform matures into a product that our internal customers love using. You will be responsible for creating a feedback loop where your team identifies friction points in the field and works with the Observability Platform team to solve them at the root.
 
 
 Use your leadership, strategic influence, and passion for developer experience to standardize how product code is monitored across Honeycomb, Datadog, BugSnag, Prometheus, and Grafana, ensuring every team has a clear, actionable view of their services.
 
 
 Join our mission to build a resilient, world-class engineering culture &mdash; Apply today!
 
 
 This position reports into a physiotherapy
 
 Engineering Manager, Platform Services
 
 and will be based in our
 
 Cairo
 
 office.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Lead and mentor a team of engineers acting as "Forward Engineers," embedding within product teams to diagnose observability gaps and develop team-specific enablement plans.
 </li>
 <li>
 Drive the "Golden Path" for observability by helping teams adopt OpenTelemetry libraries and ensuring they have high-quality visibility in Honeycomb, Datadog, Prometheus, and Grafana.
 </li>
 <li>
 Function as a DevRel leader for the platform, gathering deep insights into the developer experience and translating those needs into the Observability Platform roadmap.
 </li>
 <li>
 Partner with Product Management to shape the team backlog, balancing active "embeds" with long-term platform improvements that reduce friction for all of Procore engineering.
 </li>
 <li>
 Collaborate across the aisle with Incident Management and Traffic teams to improve "First to Know" and "Quick to Fix" metrics through better data and standardized tooling.
 </li>
 <li>
 Establish engineering best practices within your pod, ensuring that the team&rsquo;s embedded work results in sustainable, high-quality codebases for the teams they support.
 </li>
 <li>
 Manage team growth and culture by identifying hiring needs, conducting interviews, and fostering an environment of Ownership, Openness, and Optimism.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related discipline, or equivalent experience.
 </li>
 <li>
 2+ years of experience as an Engineering Manager focused on leading high-performing teams and improving overall engineering excellence
 </li>
 <li>
 5+ years of experience as a Software Engineer focused on scalable web-based services and applications.
 </li>
 <li>
 Experience working with globally distributed software engineering teams, with a passion for helping engineers grow their careers.
 </li>
 <li>
 Proven experience of tight collaboration with Product to develop execution plans.
 </li>
 <li>
 Proficiency with modern web development practices, including the full software development lifecycle (SDLC) from development to deployment and monitoring.
 </li>
 <li>
 Experience with technologies like Ruby on Rails, TypeScript, Node, and React is highly preferred.
 </li>
 <li>
 Experience working in an Agile/Scrum environment.
 </li>
 </ul>
</div>

Software Engineering Manager, Observability

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Senior Observability Engineer

APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

DevOps Engineer - Alibaba Cloud

AI/ML/DevOps Engineer

OpenShift DevSecOps Engineer with experience in Banking Domain

Software Engineering Manager, Observability