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devops engineer

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div><div><p>DevSecOps Engineer integrates security practices into DevOps pipelines, ensuring secure software delivery through automation, monitoring, and compliance. Collaborates with development, operations, and security teams to protect cloud infrastructures.</p>
</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Integrate security into CI/CD pipeline processes</li>
<li>Automate vulnerability scanning and security testing</li>
<li>Monitor cloud infrastructure for security threats</li>
<li>Implement container security and orchestration controls</li>
<li>Enforce compliance policies across development lifecycle</li>
<li>Collaborate with developers to remediate vulnerabilities</li>
<li>Manage secrets, encryption, and identity controls</li>
<li>Improve system resilience and incident response.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Strong knowledge of DevOps automation tools</li>
<li>Experience with cloud security best practices</li>
<li>Proficiency in containerization and Kubernetes environments</li>
<li>Understanding of secure coding and compliance</li>
<li>Familiarity with SIEM and monitoring tools</li>
<li>Scripting skills using Python or Bash.</li>
</ul>
</div></div><p><b>Note:</b> Salary is disbursed in the local currency of the country of employment.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>February 15, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Dubai, UAE
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
 <div>384000 - 425000 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>August 21, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Devops Engineer

ThinkMarkets

<div><p>Founded in 2010, ThinkMarkets is a multi-award-winning, premium CFD brokerage, backed by multiple global regulatory licences, operating across six continents - with regional hubs spanning London, Melbourne, the Middle East, Asia-Pacific, South Africa, and the Americas. We give traders and investors seamless access to a wide range of global markets; forex, equities, indices, commodities, cryptocurrencies, futures, and more, all through our proprietary, award-winning ThinkTrader platform.</p>
<p>
We are seeking a highly skilled Senior DevOps Engineer to oversee the architecture, automation, and reliability of our global trading infrastructure. As we provide 24-hour market access, this role is critical in ensuring mission-critical systems are scalable, secure, and highly available. You will be using compound AI agentic models to spearhead productivity and to optimize workflows. You will lead the charge in driving operational excellence, implementing advanced observability, and managing the complex data pipelines that power our real-time trading solutions.</p>
<p>
Key Responsibilities</p>
<p>
Infrastructure &amp; Cloud Operations:</p>
<ul>
<li>Design, build, and maintain scalable, secure, and highly available infrastructure across AWS and/or GCP</li>
<li>Manage multi-region cloud architectures with focus on reliability, performance, and cost optimization</li>
<li>Implement and manage containerized environments using Docker and Kubernetes (EKS, GKE, or OpenShift)</li>
<li>Lead cloud migration initiatives and infrastructure modernization projects</li>
<li>Develop and maintain Infrastructure as Code using Terraform and other automation tools</li>
</ul>
<p>Observability &amp; Monitoring:</p>
<ul>
<li>Design and implement comprehensive observability solutions using tools such as Elastic Stack, Prometheus, Grafana</li>
<li>Build and maintain centralized logging and monitoring platforms</li>
<li>Deploy and configure data ingestion pipelines and log aggregation systems</li>
<li>Create dashboards and alerts for infrastructure monitoring, application performance, and error tracking</li>
<li>Implement observability best practices including distributed tracing and metrics collection</li>
</ul>
<p>CI/CD &amp; Automation:</p>
<ul>
<li>Administer and optimize Kafka clusters (on-premise and managed services like AWS MSK)</li>
<li>Manage data streaming applications, including setup, tuning, security (SSL/Kerberos), and performance optimization</li>
<li>Support data pipeline operations including ETL processes and data warehouse integration (Redshift or similar.</li>
</ul>
<p>Agentic AI:</p>
<ul>
<li>Experience with AI/ML model deployment and serving (e.g., KubeFlow, SageMaker, or similar)</li>
<li>Experience with GPU infrastructure provisioning and management</li>
<li>Familiarity with vector databases and RAG architectures</li>
<li>Understanding of AI security best practices (prompt injection mitigation, data privacy, access controls)</li>
</ul>
<p>Requirements</p>
<ul>
<li>Experience: 8+ years of experience in DevOps, CloudOps, or SRE roles, with a proven track record in production-grade Kubernetes and Terraform environments.</li>
<li>Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.</li>
<li>Expert-level Linux/Unix administration and strong scripting skills (Bash, etc.).</li>
<li>AI: Comfortable working in an agentic AI-driven team.</li>
<li>Deep understanding of cloud architecture, networking concepts, and security principles.</li>
<li>Experience managing CI/CD pipeline in production environments.</li>
<li>Extensive knowledge of Infrastructure as Code (Terraform required).</li>
<li>Hands-on experience with version control (Git) and observability platforms (ELK, Datadog).</li>
<li>Communication: Excellent communication skills, with the ability to present technical infrastructure strategies to senior management and work collaboratively across departments.</li>
<li>Resilience: Ability to thrive in a fast-paced environment with 24/7 production support responsibilities.</li>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Certifications: AWS Solutions Architect/SysOps, CKA/CKAD, or Red Hat Certified Engineer (RHCE).</li>
<li>Advanced Skills: Experience with multi-cloud (AWS + GCP), Kafka cluster tuning, and OpenTelemetry.</li>
<li>Experience with multi-cloud or hybrid-cloud architecture</li>
<li>Industry Knowledge: Familiarity with financial data analytics platforms and ETL processes.</li></ul></div>

DevOps Engineer

KPTAC Technologies

<p><b>Job Title: Senior DevOps Engineer / DevOps Specialist (AWS, Microservices, SaaS)</b></p><p><b>Location: Remote / Hybrid / On-site</b></p><p><b>Time zone alignment: Dubai (UAE)</b></p><p><b>Experience Required: 6+ years</b></p><p><b>About the Company</b></p><p>We are a fast-growing digital solutions company transforming the hospitality industry through innovative Digital eMenu products. Our platform offers multiple products designed to enhance guest experience, streamline restaurant operations, and drive revenue for hospitality brands.</p><p><b>Role Overview</b></p><p>We are looking for a <b>Senior DevOps Engineer</b> who will <b>own the DevOps function end-to-end</b> for a <b>customer-facing, multi-tenant SaaS platform</b> operating at scale.</p><p>This is a hands-on role for someone who has <b>built, deployed, secured, and operated large-scale microservices systems on AWS</b>, not just maintained them. You will be responsible for the full lifecycle &mdash; from infrastructure design and CI/CD to security, observability, reliability, and compliance readiness.</p><p>You will work closely with backend engineers and product teams while owning all infrastructure, deployment, and platform reliability concerns.</p><p><b>Key Responsibilities</b></p><p><b>Infrastructure &amp; Cloud Architecture</b></p><ul><li>Design, build, and operate <b>highly available, secure, and scalable AWS infrastructure</b></li><li>Own and manage:</li></ul><p><b>- EC2, ECS (EC2 &amp; Fargate), EKS</b></p><p><b>- VPC, ALB/NLB, Route53, PrivateLink</b></p><ul><li>Design systems for <b>multi-tenant SaaS</b> with strict <b>availability and SLA requirements</b></li><li>Implement <b>infrastructure as code</b> using:</li></ul><p>-CloudFormation / CDK (required)</p><p>-Terraform (good to have)</p><p><b>CI/CD &amp; Deployment</b></p><ul><li>Own and maintain <b>CI/CD pipelines using GitHub Actions</b></li><li>Build <b>application and infrastructure pipelines</b></li><li>Implement and operate: <b>Blue-green deployments, and Canary deployments</b></li><li>Ensure safe, automated, repeatable deployments across environments</li></ul><p><b>Observability &amp; Reliability</b></p><ul><li>Design and operate a full observability stack using: <b>CloudWatch, OpenTelemetry, Prometheus, and Grafana</b></li><li>Define and track SLIs/SLOs</li><li>Lead incident response, root cause analysis, and reliability improvements</li></ul><p><b>Databases &amp; Data Services (Production Experience Required)</b></p><ul><li>Architect, deploy, and operate AWS database services in production: <b>RDS (PostgreSQL, MySQL), Aurora, DynamoDB, ElastiCache (Redis), OpenSearch</b></li><li>Handle: Multi-AZ setups, Read replicas, Backup &amp; restore strategies, Disaster recovery planning</li></ul><p><b>Security &amp; Compliance</b></p><ul><li>Own cloud security posture end-to-end: <b>IAM (least-privilege access), KMS, Secrets Manager, and AWS WAF</b></li><li>Implement secure secret handling and key management</li><li>Support and prepare systems for: <b>SOC 2, ISO, HIPAA, and PCI</b></li><li>Work with audit, compliance, and penetration-testing processes</li></ul><p><b>Automation &amp; Tooling</b></p><ul><li>Write <b>Python scripts</b> for: DevOps automation, Tooling, and Operational workflows</li><li>Improve developer experience through automation and platform tooling</li></ul><p><b>Ownership &amp; Leadership</b></p><ul><li>Own the DevOps roadmap and technical direction</li><li>Define best practices for: Infrastructure, Deployments, Security, and Reliability</li><li>Act as the go-to person for cloud and platform decisions</li></ul><p><b>Required Experience &amp; Skills</b></p><ul><li>Senior-level (<b>6+ years</b>) DevOps experience owning production systems end-to-end</li><li>Deep hands-on AWS experience across: Compute, networking, security, observability, and databases</li><li>Strong experience with <b>Docker and containerized microservices</b></li><li>Strong experience with <b>GitHub and GitHub Actions</b></li><li>Proven experience running <b>customer-facing SaaS systems at scale</b></li><li>Strong understanding of security best practices and compliance readiness</li><li>Production experience with all listed AWS database services</li><li><b>AWS certifications</b> (Solutions Architect, DevOps Engineer, or similar)</li><li>Terraform experience</li><li>Experience operating systems under strict SLA and regulatory requirements</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>Someone who <b>owns problems</b>, not just tickets</li><li>Strong architectural thinking with hands-on execution</li><li>Comfortable in startup and scale-up environments</li><li>Security-first and reliability-driven mindset</li><li>Clear communicator who can work across engineering teams</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current monthly salary (AED)?</li><li>What is your expected monthly salary (AED)?</li><li>Are you available to join immediately? (If not, mention notice period)</li></ul><p>Experience:</p><ul><li>DevOps : 6 years (Required)</li></ul>

Senior DevOps Engineer

AL MUTAKAMELA VEHICLES TESTING AND REGISTRATION

<p><b>Job description:</b></p><p>We are looking for a Senior DevOps Engineer to take ownership of a large-scale internal ERP environment and lead performance optimization across our infrastructure.</p><p>Our ERP system is business-critical and requires an expert who can analyze bottlenecks, redesign system architecture when needed, and implement high-level DevOps practices to ensure stability, scalability, and speed.</p><p><b>Key Responsibilities</b></p><ul><li>Lead ERP performance tuning and infrastructure optimization</li><li>Manage and optimize SQL Server at enterprise scale</li><li>Improve deployment and reliability of PHP Laravel applications</li><li>Design resilient cloud/server architecture</li><li>Implement monitoring, automation, and CI/CD pipelines</li><li>Ensure security, backups, and disaster recovery readiness</li></ul><p><b>Requirements</b></p><ul><li>Senior-level DevOps / infrastructure experience</li><li>Advanced SQL Server performance expertise</li><li>Strong PHP Laravel production experience</li><li>Deep knowledge of cloud and internal server environments</li><li>System architecture and scalability mindset</li><li>Strong troubleshooting and ownership mentality</li></ul><p>Job Type: Full-time</p>

DevOps Engineer – ERP Infrastructure & Performance

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
The ML Ops and DevOps Engineer is a specialised technical role focused on bridging the gap between AI development and production-grade operations. You will design, deploy, and manage scalable AI solutions primarily across AWS and Azure environments, integrating Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). By leveraging containerization, automated CI/CD pipelines, and robust data engineering, you will ensure that the Bank&rsquo;s AI-driven applications&mdash;including Generative AI and LLM agents&mdash;are secure, efficient, compliant, and highly available.</p><p></p><p>
Your responsibilities as the MLOps and DevOps Engineer include:</p><ul><li>
Design and deploy scalable AI infrastructure using GitHub Actions, EKS, ECS, and AWS Lambda; automate all resource provisioning via Terraform.</li><li>
Create and manage end-to-end CI/CD pipelines for model deployment, versioning, and lifecycle management using Azure DevOps and GitHub Actions.</li><li>
Deploy machine learning and large language models via Amazon SageMaker, EKS, and Azure ML Endpoints.</li><li>
Implement comprehensive monitoring for model performance and drift using Amazon CloudWatch, SageMaker Model Monitor, and OpenSearch.</li><li>
Integrate advanced services including Azure OpenAI, Azure Cognitive Services, and AWS Rekognition into enterprise workflows.</li><li>
Design robust data pipelines and real-time ingestion streams using AWS Glue, Amazon Redshift, Athena, and Apache Spark.</li><li>
Enforce cloud security through AWS WAF, Azure Key Vault, and RBAC, ensuring all deployments meet GDPR and ISO compliance standards.</li><li>
Supervise team activities and contribute to change initiatives in line with the Bank&rsquo;s continuous improvement standards.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.<br>
</i></p><p><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br>
</i></p><p><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br>
</i></p><p><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.<br>
</i></p><p><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><b><br>
Requirements</b><p><br>
What we need from you:</p><p></p><ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, Mathematics, or a related quantitative field.</li><li>
A minimum of 5 years in designing and deploying AI solutions in cloud environments, specifically within MLOps/LLMOps frameworks.</li><li>
Proficiency with GitHub Actions, Spark, Redshift, MongoDB, and Azure Purview.</li><li>
Deep hands-on expertise in AWS (SageMaker, EKS, S3) and Azure (OpenAI, Cognitive Services) ecosystems.</li><li>
Mastery of Terraform for multi-cloud resource automation.</li><li>
Proven experience in both MLOps (standard ML) and LLMOps (Large Language Models), focusing on fine-tuning, orchestration, and monitoring.</li><li>
Expertise in managing container images via ECR/ACR and deploying via Kubernetes (EKS/AKS).</li><li>
Strong understanding of secure networking (WAF, NSGs) and secret management.</li></ul><p></p><p>
It would be beneficial if you also have:</p><br>
<ul><li>
Azure and/or AWS certifications (e.g., AWS Certified Machine Learning - Specialty or Azure AI Engineer Associate) are highly preferred.</li><li>
Ability to seamlessly manage workloads that span across both AWS and Azure.</li><li>
Skill in communicating complex technical infrastructure requirements to non-technical business stakeholders.</li><li>
Adaptability in troubleshooting model drift and performance bottlenecks in real-time agentic workflows.</li><li>
Proactive identification of new tools (e.g., Vector DBs, orchestration frameworks) to improve deployment velocity.</li></ul><br>
<b>
Benefits</b><p><b><br>
Benefits &amp; Growth Opportunities:</b></p><ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul><p></p><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p><p>
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</p><p>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</p><p>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</p></div><p></p>

ML Ops and DevOps Engineer

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 The Specialist &ndash; Enterprise Tooling is responsible for the administration, integration, and optimization of cloud-native and DevOps tools across the organization, with a primary focus on Microsoft Azure, Azure DevOps, GitHub (including Advanced Security), CI/CD pipelines, AKS (Azure Kubernetes Service), Azure Web Apps, code scanning (SAST/DAST), and Power BI. This hands-on role ensures the reliability, security, and efficiency of development and deployment workflows, supporting both infrastructure and application teams in a fast-paced, cloud-centric environment. This role is ideal for candidates with a passion for DevOps, cloud automation, and modern development toolchains, who thrive in collaborative and technically challenging environments.
 <br/>
 <br/>
 <strong>
  The opportunity
  <br/>
  <br/>
 </strong>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Administer and optimize Azure DevOps, GitHub, Jira, SonarQube, Slack, Artifactory, Op Manager, APM tools like Dynatrace/ App Dynamics/ Datadog, Prometheus, Grafana, Nessus tools.
  </li>
  <li>
   Expert in handling enterprise tools end-to-end like Jira, Confluence, SonarQube, GitHub, GitLab, ADO.
  </li>
  <li>
   Very good experience in handling monitoring tools like Manage Engine, Service Now, to ensure all alerting and observability of the enterprise infrastructure is ensured.
  </li>
  <li>
   Experience with managing Application Monitoring and API Monitoring
  </li>
  <li>
   Manage and maintain Azure cloud-native resources, including AKS clusters, Azure Web Apps, and related services, ensuring security, scalability, and high availability.
  </li>
  <li>
   Implement and oversee code security and quality tools such as GitHub Advanced Security, SAST (Static Application Security Testing), and DAST (Dynamic Application Security Testing) integrations within CI/CD pipelines.
  </li>
  <li>
   Configure and manage code repositories (GitHub, Azure Repos), including branch policies, permissions, and code scanning automation.
  </li>
  <li>
   Develop, maintain, and troubleshoot infrastructure as code (IaC) scripts using ARM templates, Bicep, or Terraform for automated provisioning and configuration.
  </li>
  <li>
   Support and automate monitoring, logging, and alerting solutions using Azure Monitor, Application Insights, and related tools.
  </li>
  <li>
   Administer Power BI environments, ensuring secure data access, optimal performance, and effective report sharing.
  </li>
  <li>
   Collaborate with development, QA, and operations teams to streamline the software development lifecycle (SDLC) and resolve toolchain issues.
  </li>
  <li>
   Document processes, procedures, and configurations for knowledge sharing and compliance.
  </li>
  <li>
   Stay current with emerging DevOps/cloud tools and best practices, recommending improvements to enhance security, efficiency, and developer experience.
  </li>
  <li>
   Executive reporting and dashboard across the enterprise via presentations and SPOG single plane of glass) reports.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  </li>
  <li>
   Minimum 8+ years of hands-on experience administering Enterprise Tools for large SAAS product organizations.
  </li>
  <li>
   Proficiency with GitHub (including Advanced Security features), Azure DevOps, and CI/CD pipeline design and troubleshooting
  </li>
  <li>
   Strong experience with code security tools: SAST, DAST, and automated code scanning in CI/CD environments
  </li>
  <li>
   Experience with Infrastructure as Code (ARM, Bicep, Terraform) and automation scripting (PowerShell, Bash, or Python)
  </li>
  <li>
   Solid understanding of containerization and orchestration using Docker and Kubernetes (AKS preferred)
  </li>
  <li>
   Power BI administration and report publishing experience; strong data modeling and DAX skills are a plus
  </li>
  <li>
   Familiarity with monitoring, logging, and alerting tools in Azure environments
  </li>
  <li>
   Excellent troubleshooting, analytical, and problem-solving skills.
  </li>
  <li>
   Effective communication and collaboration skills; ability to work across teams and explain technical concepts to non-technical stakeholders
  </li>
  <li>
   Should have past experience of presenting enterprise reports to CxO and Senior Leadership.
  </li>
  <li>
   Security-minded, with knowledge of RBAC, secrets management, and compliance best practices
  </li>
  <li>
   Portfolio or examples of hands-on work with relevant tools and platforms are highly desirable
  </li>
  <li>
   Microsoft Certified: Azure Administrator Associate, Azure DevOps Engineer Expert, or equivalent.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 <strong>
  What Working At Inception Offers
  <br/>
  <br/>
 </strong>
 <strong>
  Culture
 </strong>
 : An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 <strong>
  Career
 </strong>
 : Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 <strong>
  Work-Life
 </strong>
 : A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 <strong>
  Rewards
 </strong>
 : A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Specialist - Enterprise Tooling

ITCAN

<div><div><div><p>Role Overview</p><div>
MoonTech is building a new backend platform to power its next-generation Influencer marketing - a scalable, secure, API-first ecosystem running on AWS.</div><div><br>
We are seeking a <b>Senior Golang Engineer with strong DevOps expertise</b> to design, build, and optimize backend services forming the core of this Go-based platform. You will play a key role in developing our new Go API facade, containerized microservices, and robust integrations.</div><div></div><div><br>
This is a senior, hands-on engineering role that blends backend development, cloud architecture, and DevOps automation. You&rsquo;ll collaborate directly with leadership to define engineering standards, drive infrastructure excellence, and mentor the team through modernization from our legacy PHP stack.</div><p>
Responsibilities</p><div>
1. Core Platform Development</div><ul><li><div>
Architect, develop, and maintain high-performance, cloud-native backend services in Go.</div></li><li><div>
Build a unified API layer and containerized microservices on AWS ECS/Fargate.</div></li><li><div>
Implement secure authentication, robust input/output validation, and OpenAPI-based integration.</div></li><li><div>
Optimize data access patterns and scalability using PostgreSQL.</div></li></ul><div></div><div><br>
2. Platform Architecture &amp; DevOps</div><ul><li><div>
Partner with the Tech Lead and CTO to evolve a modern AWS-based platform, leveraging IaC and automation.</div></li><li><div>
Extend and maintain Terraform-based infrastructure, ensuring reproducibility and consistency.</div></li><li><div>
Lead improvements to the CI/CD pipelines (GitHub Actions) to enable automated testing, deployment, and blue/green rollouts.</div></li><li><div>
Champion observability practices - integrate metrics, logging, and tracing using CloudWatch, Prometheus, and Grafana.</div></li></ul><div></div><div><br>
3. Reliability &amp; Engineering Excellence</div><ul><li><div>
Drive system reliability, performance, and fault tolerance across all services.</div></li><li><div>
Enforce code quality via thorough testing, peer reviews, and Go best practices.</div></li><li><div>
Oversee API versioning and schema evolution to maintain backward compatibility.</div></li></ul><div></div><div><br>
4. Cross-Team Collaboration</div><ul><li><div>
Collaborate closely with DevOps, QA, and frontend/mobile engineers to ensure smooth, zero-downtime deployments.</div></li><li><div>
Participate in technical design sessions, architecture reviews, and post-mortems.</div></li><li><div>
Document key decisions and architectural patterns on Confluence.</div></li></ul><div></div><p><br>
Requirements</p><div></div><div><br>
Technical</div><ul><li><div>
5+ years of backend engineering experience, including 3+ years building production systems in Go.</div></li><li><div>
Deep understanding of Go&rsquo;s concurrency model, performance tuning, and idiomatic patterns.</div></li><li><div>
Proven track record with AWS services (ECS/Fargate, RDS, API Gateway, SQS, Secrets Manager, EventBridge).</div></li><li><div>
Strong experience with containerization (Docker) and Infrastructure-as-Code (Terraform).</div></li><li><div>
Proficient with PostgreSQL, schema migrations, and query optimization.</div></li><li><div>
Experienced in designing and maintaining CI/CD pipelines and automated deployments.</div></li><li><div>
Practical knowledge of observability tooling - metrics, logs, distributed traces.</div></li></ul><div><br>
Soft Skills</div><ul><li><div>
System-level thinking and an ownership mindset for production reliability.</div></li><li><div>
Strong communicator who can articulate trade-offs and architectural decisions.</div></li><li><div>
Comfortable operating in a remote-first, async, cross-functional environment.</div></li><li><div>
Collaborative, proactive, and mentorship-oriented.</div></li></ul><p>
Nice to Have</p><ul><li><div>
Experience migrating monolithic or PHP-based systems to Go microservices.</div></li><li><div>
Familiarity with HubSpot APIs or CRM integration.</div></li><li><div>
Knowledge of GraphQL, gRPC, or event-driven architecture.</div></li><li><div>
Multi-tenant or multi-region system design experience.</div></li></ul></div></div></div><div></div>
<br><div><div><b>Department</b></div>
<div>Software Development Management
</div><div><b>Locations</b></div>
<div>Dubai
</div><div><b>Remote status</b></div>
<div>Fully Remote</div></div>

Senior Golang Developer

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