planning engineer

project engineer

sales engineer

support engineer

bms engineer

backend engineer

ThreeU

About the RoleWe&rsquo;re looking for a Senior Fullstack Developer with a strong backend focus who can build scalable systems end-to-end and isn&rsquo;t afraid to go beyond traditional engineering.This role is ideal for an all-rounder builder &mdash; someone who can design robust backend architectures, ship fullstack features, and is excited about the next wave of software: AI-native and agent-driven systems.What You&rsquo;ll Do<ul><li>Design and build scalable backend systems, APIs, and services</li><li>Develop fullstack features (backend-first, frontend when needed)</li><li>Own projects end-to-end: architecture &rarr; implementation &rarr; deployment &rarr; monitoring</li><li>Integrate and build with AI systems (LLMs, APIs, workflows)</li><li>Design and implement agentic workflows and automations</li><li>Optimize performance, reliability, and security across the stack</li><li>Collaborate with product and design to turn ideas into production systems</li><li>Contribute to technical strategy and system design decisions</li><li>Mentor and support other engineers</li></ul>What We&rsquo;re Looking ForCore Requirements<ul><li>5+ years experience as a fullstack or backend-focused engineer</li><li>Strong backend expertise (Node.js, Python, Go, or similar)</li><li>Experience building scalable APIs (REST / GraphQL)</li><li>Solid understanding of databases (SQL + NoSQL)</li><li>Experience with cloud infrastructure (AWS, GCP, etc.)</li><li>Strong fundamentals in system design, scalability, and performance</li></ul>Frontend (Working Knowledge)<ul><li>Experience with modern frameworks (React preferred)</li><li>Ability to build functional, clean UI when needed</li></ul>AI &amp; Next-Gen Skills (Strong Plus)<ul><li>Experience with LLM integrations (OpenAI, Anthropic, etc.)</li><li>Understanding of prompt engineering and evaluation</li><li>Experience building or experimenting with agentic AI systems</li><li>Familiarity with:</li><li>AI workflows / tool use</li><li>Retrieval (RAG), embeddings, vector DBs</li><li>Automation pipelines powered by AI</li><li>Ability to think in terms of AI-first product design, not just APIs</li></ul>Nice to Have<ul><li>Microservices architecture experience</li><li>CI/CD and DevOps familiarity</li><li>Multi-tenant or SaaS platform experience</li><li>Startup or high-growth environment background</li></ul>What We Offer<ul><li>Work on a modern, AI-first platform</li><li>High ownership and autonomy</li><li>Fast execution, minimal bureaucracy</li><li>Competitive compensation</li><li>Growth into tech leadership / AI architecture roles</li></ul>Who This Role Is Perfect ForSomeone who:<ul><li>Thinks like a builder and systems designer</li><li>Is backend-strong but not boxed in</li><li>Is curious about and actively exploring AI + agents</li><li>Wants to work on what&rsquo;s next, not just maintain what exists</li></ul>Job Type: Full-timePay: QAR4,000.00 - QAR8,000.00 per monthWork Location: In person

Senior Fullstack Developer (Backend-Focused, All-Rounder)

Unyemer Digital Solutions LLC

About the RoleDoha is rapidly emerging as a hub for digital innovation, and at Unyemer Digital Solutions LLC, we bring that same forward-thinking mindset to everything we build. We develop enterprise-grade platforms that combine scalability with seamless user experience. We believe that powerful software should be both efficient and intuitive.We are looking for a Senior Software Engineer Backend or Full Stack who can take ownership of core system architecture and help shape the future of our digital products. You are not just writing code; you are solving complex problems and building systems that scale. You will collaborate with product, design, and operations teams to deliver high-quality solutions that support business growth. You are the technical expert in a room where performance, reliability, and innovation matter.Why Work With UsThe Environment Our office is located in Al Sadd Business District, Doha. We offer a modern workspace designed for focus, collaboration, and innovation.Engineering Culture We value clean architecture, maintainable code, and strong engineering principles. Your ideas will influence technical decisions from day one.Modern Stack We work with modern technologies including Node.js, Python, Java, React, and cloud platforms such as AWS and Azure.Growth You will have access to learning resources, certifications, and conferences to keep your technical skills competitive and up to date.Key ResponsibilitiesSystem Architecture Ownership Design and develop scalable backend systems and APIs. Ensure performance, reliability, and security across all applications.End to End Development Build features from concept to deployment, including backend services, frontend components when needed, and integration with third-party systems.Code Quality and Best Practices Write clean, maintainable, and well-documented code. Conduct code reviews and enforce development standards.Collaboration Work closely with product managers, designers, and other engineers to deliver user-focused solutions.Performance Optimization Identify bottlenecks and improve system performance and scalability.What We Are Looking ForExperience 5 to 8 years of experience in software development, with strong expertise in backend or full stack engineering.Technical Skills Proficiency in one or more languages such as JavaScript, Python, or Java. Experience with modern frameworks like React or Vue is a plus.Architecture Knowledge Strong understanding of RESTful APIs, microservices architecture, and cloud-based systems.Problem Solving Ability to analyze complex technical challenges and deliver efficient solutions.Mindset You are pragmatic and results-driven. You know when to build for scale and when to move fast to deliver value.Job Types: Full-time, PermanentPay: QAR30,000.00 - QAR40,000.00 per monthWork Location: In person

Senior Software Engineer Backend or Full Stack

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity &amp; access management, security tools, and underlying cloud infrastructure.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.
 </li>
 <li>
 Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.
 </li>
 <li>
 Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.
 </li>
 <li>
 Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.
 </li>
 <li>
 Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++
 </li>
 <li>
 Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
 </li>
 <li>
 Track record of independent ownership of successful engineering projects
 </li>
 <li>
 Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc.
 </li>
 <li>
 Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
 </li>
 <li>
 Solid foundation and real-world experience in network engineering
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 </li>
 <li>
 Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
 </li>
 <li>
 Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
 </li>
 <li>
 Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
 </li>
 <li>
 Experience with hybrid or on-prem systems
 </li>
 <li>
 Experience with orchestration platforms, such as Temporal and AWS Step Functions
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

DevOps Engineer, GPS

Parrot Analytics

<div>Parrot Analytics is the global authority on media and entertainment intelligence, providing the strategic decision support that the world&rsquo;s leading studios, producers, streamers, investors, and government bodies rely on to de-risk content investment and maximize returns.
Trusted across the full media economy &mdash; from studios and streaming platforms to film funds, sports leagues, and government bodies &mdash; Parrot Analytics informs capital allocation, acquisitions, programming strategy, and IP valuation at the highest levels of the industry.
By measuring the demand and preferences of more than 2 billion audiences worldwide, Parrot Analytics&rsquo; AI platform quantifies the value of content, talent, franchises, and sports rights &mdash; enabling partners to forecast revenue, assess risk, optimize portfolio strategy, and drive more predictable success. 
About the Role
We are looking for a Senior Software Engineer with strong experience in core Java technologies, AWS cloud technologies, API integrations (REST/GraphQL), and building and supporting AI-driven workflows to join our Data Platform R&amp;D team. Our platform captures the foundational signals that power Demand and the wider suite of analytics products built on top of it. This includes making millions of API calls, connecting to social and digital data streams, and processing billions of events every day.
As part of this team, you will design and build high-scale distributed systems that collect, process, and transform raw digital signals into reliable datasets used across analytics, forecasting, and AI models.
You will also play a key role in evolving our platform to support AI-driven workflows, including intelligent data enrichment, automation, orchestration, agentic AI development, and delivering model-ready datasets for machine learning and advanced analytics.
This role is ideal for engineers who enjoy working on large-scale data systems, distributed infrastructure, and solving complex problems where reliability, scale, performance, and AI-readiness matter.
What You'll Champion<ul><li>
Build Large-Scale Data Infrastructure- Design, develop, deploy, and maintain large-scale data collection applications and pipelines that capture and process massive volumes of digital audience signals from global platforms.</li><li>
Enable AI-Driven and Agentic Workflows- Build, integrate, and support AI-driven workflows that enable intelligent automation, data enrichment, orchestration, and scalable delivery of model-ready data, including agentic AI patterns aligned to an AI-driven development life cycle.</li><li>
Own Critical Platform Services- Build and maintain critical platform services and infrastructure on AWS to enable the next generation of analytics products, product modules, and AI-powered capabilities.</li><li>
Process Data at Massive Scale- Develop and support data aggregation pipelines where collected data is processed across Apache Spark clusters, transforming high-volume raw data into reliable, analytics-ready datasets.</li><li>
Improve Platform Reliability and Performance- Help ensure platform services meet high standards for accuracy, availability, scalability, observability, resilience, and security while operating at large scale.</li><li>
Shape Platform Architecture- Contribute to the evolution of the platform architecture, helping define patterns and systems that support future data products, AI capabilities, and high-throughput distributed processing.</li><li>
Collaborate Across Disciplines- Work closely with engineers, data scientists, industry insights analysts, and product teams to turn complex data challenges into scalable technical solutions.</li></ul> 

Requirements 
<ul><li>
5+ years experience building backend systems with Core Java/Python, databases, ETL, SQL, and REST/GraphQL APIs</li><li>
Hands-on experience developing and supporting agentic AI workflows in production or near-production environments</li><li>
Experience with spec-driven development workflows, AI-assisted engineering patterns, and tooling that accelerates design, implementation, testing, and iteration</li><li>
Practical familiarity with AI coding and orchestration tools such as Amazon Kiro and Kiro CLI for structured specification, automation, and developer productivity</li><li>
Strong experience building high-throughput distributed applications handling both high request volumes and large-scale data flows</li><li>
Deep understanding of concurrency, multi-threading, distributed systems, and system design</li><li>
Experience working with JPA, ORM frameworks, and databases such as Postgres, MySQL, Redshift, and Elasticsearch</li><li>
Strong experience with AWS infrastructure and cloud services</li><li>
Strong collaboration and communication skills, with the ability to understand business needs and translate them into clear technical solutions</li></ul> 

Benefits 
<ul><li>
Build the Backbone of Global Entertainment Intelligence: Design and scale the data infrastructure that powers the industry&rsquo;s most trusted media analytics platform&mdash;supporting decisions made by studios, streamers, investors, and governments worldwide.
</li><li>Engineer at Massive Scale: Work with systems that process billions of audience signals daily, building distributed pipelines and services that transform raw global data into reliable insights powering forecasting, analytics, and AI models.
</li><li>Help Shape the AI Data Layer: Play a hands-on role in building AI-ready data infrastructure, enabling agentic workflows, intelligent data enrichment, and the next generation of machine learning and analytics capabilities.
</li><li>Solve Real Engineering Challenges: Tackle complex problems across distributed systems, high-throughput APIs, and large-scale data processing where performance, reliability, and scalability truly matter.
</li><li>Work Where Technology Meets Culture: Your engineering work ultimately influences how the entertainment industry values content, talent, and franchises&mdash;impacting what audiences around the world watch, stream, and engage with.
</li><li>Collaborate Across Disciplines: Partner with other product teams and industry experts to translate complex audience signals into powerful technology that drives strategic decisions across the global media ecosystem.</li></ul></div>

Senior Software Engineer - Data Platform (AI & Distributed Systems)

<div>
 Parrot Analytics is the global authority on media and entertainment intelligence, providing the strategic decision support that the world's leading studios, producers, streamers, investors, and government bodies rely on to de-risk content investment and maximize returns.
 
 
 Trusted across the full media economy &mdash; from studios and streaming platforms to film funds, sports leagues, and government bodies &mdash; Parrot Analytics informs capital allocation, acquisitions, programming strategy, and IP valuation at the highest levels of the industry.
 
 
 By measuring the demand and preferences of more than 2 billion audiences worldwide, Parrot Analytics' AI platform quantifies the value of content, talent, franchises, and sports rights &mdash; enabling partners to forecast revenue, assess risk, optimize portfolio strategy, and drive more predictable success.
 
 
 
 About The Role
 
 
 
 We are looking for a Senior Software Engineer with strong experience in core Java technologies, AWS cloud technologies, API integrations (REST/GraphQL), and building and supporting AI-driven workflows to join our Data Platform R&amp;D team. Our platform captures the foundational signals that power Demand and the wider suite of analytics products built on top of it. This includes making millions of API calls, connecting to social and digital data streams, and processing billions of events every day.
 
 
 As part of this team, you will design and build high-scale distributed systems that collect, process, and transform raw digital signals into reliable datasets used across analytics, forecasting, and AI models.
 
 
 You will also play a key role in evolving our platform to support AI-driven workflows, including intelligent data enrichment, automation, orchestration, agentic AI development, and delivering model-ready datasets for machine learning and advanced analytics.
 
 
 This role is ideal for engineers who enjoy working on large-scale data systems, distributed infrastructure, and solving complex problems where reliability, scale, performance, and AI-readiness matter.
 
 
 
 What You'll Champion
 
 
 
 <ul>
 <li>
 Build Large-Scale Data Infrastructure- Design, develop, deploy, and maintain large-scale data collection applications and pipelines that capture and process massive volumes of digital audience signals from global platforms
 </li>
 <li>
 Enable AI-Driven and Agentic Workflows- Build, integrate, and support AI-driven workflows that enable intelligent automation, data enrichment, orchestration, and scalable delivery of model-ready data, including agentic AI patterns aligned to an AI-driven development life cycle
 </li>
 <li>
 Own Critical Platform Services- Build and maintain critical platform services and infrastructure on AWS to enable the next generation of analytics products, product modules, and AI-powered capabilities
 </li>
 <li>
 Process Data at Massive Scale- Develop and support data aggregation pipelines where collected data is processed across Apache Spark clusters, transforming high-volume raw data into reliable, analytics-ready datasets
 </li>
 <li>
 Improve Platform Reliability and Performance- Help ensure platform services meet high standards for accuracy, availability, scalability, observability, resilience, and security while operating at large scale
 </li>
 <li>
 Shape Platform Architecture- Contribute to the evolution of the platform architecture, helping define patterns and systems that support future data products, AI capabilities, and high-throughput distributed processing
 </li>
 <li>
 Collaborate Across Disciplines- Work closely with engineers, data scientists, industry insights analysts, and product teams to turn complex data challenges into scalable technical solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years experience building backend systems with Core Java/Python, databases, ETL, SQL, and REST/GraphQL APIs
 </li>
 <li>
 Hands-on experience developing and supporting agentic AI workflows in production or near-production environments
 </li>
 <li>
 Experience with spec-driven development workflows, AI-assisted engineering patterns, and tooling that accelerates design, implementation, testing, and iteration
 </li>
 <li>
 Practical familiarity with AI coding and orchestration tools such as Amazon Kiro and Kiro CLI for structured specification, automation, and developer productivity
 </li>
 <li>
 Strong experience building high-throughput distributed applications handling both high request volumes and large-scale data flows
 </li>
 <li>
 Deep understanding of concurrency, multi-threading, distributed systems, and system design
 </li>
 <li>
 Experience working with JPA, ORM frameworks, and databases such as Postgres, MySQL, Redshift, and Elasticsearch
 </li>
 <li>
 Strong experience with AWS infrastructure and cloud services
 </li>
 <li>
 Strong collaboration and communication skills, with the ability to understand business needs and translate them into clear technical solutions
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Build the Backbone of Global Entertainment Intelligence: Design and scale the data infrastructure that powers the industry's most trusted media analytics platform&mdash;supporting decisions made by studios, streamers, investors, and governments worldwide.
 </li>
 <li>
 Engineer at Massive Scale: Work with systems that process billions of audience signals daily, building distributed pipelines and services that transform raw global data into reliable insights powering forecasting, analytics, and AI models.
 </li>
 <li>
 Help Shape the AI Data Layer: Play a hands-on role in building AI-ready data infrastructure, enabling agentic workflows, intelligent data enrichment, and the next generation of machine learning and analytics capabilities.
 </li>
 <li>
 Solve Real Engineering Challenges: Tackle complex problems across distributed systems, high-throughput APIs, and large-scale data processing where performance, reliability, and scalability truly matter.
 </li>
 <li>
 Work Where Technology Meets Culture: Your engineering work ultimately influences how the entertainment industry values content, talent, and franchises&mdash;impacting what audiences around the world watch, stream, and engage with.
 </li>
 <li>
 Collaborate Across Disciplines: Partner with other product teams and industry experts to translate complex audience signals into powerful technology that drives strategic decisions across the global media ecosystem
 </li>
 </ul>
</div>

Arab Solutions

<div>
 
 Job Title: Full Stack Software Engineer (Forward Deployed) &ndash; L6+
 
 
 
 
 Department:
 
 International Public Sector
 
 
 
 Experience:
 
 10+ Years
 
 
 
 Location:
 
 International / Client-Facing
 
 
 
 Role Overview
 
 
 
 We are seeking a highly experienced
 
 Full Stack Software Engineer (Forward Deployed)
 
 to help build and deploy advanced AI-powered solutions for public sector organizations globally. The role focuses on designing scalable AI applications, developing high-quality data systems for LLMs, and collaborating directly with government partners to solve complex challenges impacting millions of citizens.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical strategy for public sector engagements and translate complex mission requirements into scalable architectural solutions.
 </li>
 <li>
 Design and build full-stack AI applications integrating interactive user interfaces, backend systems, and AI models.
 </li>
 <li>
 Develop and maintain secure, scalable cloud infrastructure supporting global deployments.
 </li>
 <li>
 Build and evolve core platforms and shared services to support multiple client use cases.
 </li>
 <li>
 Work closely with cross-functional teams to shape the technical roadmap and ensure system scalability and reliability.
 </li>
 <li>
 Mentor engineering teams and promote best practices in documentation, architecture, and development workflows.
 </li>
 <li>
 Convert real-world client challenges into reusable engineering solutions and scalable platform capabilities.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science or equivalent industry experience.
 </li>
 <li>
 10+ years of full-stack development experience.
 </li>
 <li>
 Strong expertise in Python, Node.js, and React.
 </li>
 <li>
 Experience designing large-scale architectures using Kubernetes and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Proven ability to build secure, production-grade distributed systems.
 </li>
 <li>
 Experience deploying solutions in complex, high-security environments.
 </li>
 <li>
 Strong leadership skills with the ability to guide teams and manage ambiguous technical challenges.
 </li>
 <li>
 Ability to drive documentation-first and asynchronous engineering practices.
 </li>
 <li>
 Arabic language proficiency.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience as a CTO, founding engineer, or forward deployed engineer in a startup environment.
 </li>
 <li>
 Experience collaborating with operations and cross-functional teams.
 </li>
 <li>
 Hands-on experience building LLM-based or AI-driven applications.
 </li>
 <li>
 Strong understanding of emerging AI landscapes and future-proof system design.
 
 
 </li>
 </ul>
 Skills: forward deployed,llm-based,cto,forward deployed engineer,ai-driven applications,founding engineer,cloud infrastructure,ai models
</div>

Full Stack Software Engineer (Forward Deployed)

Linnk Group

<div>
 
 Greetings from LINNK Group.
 
 
 Job Title:
 
 IVR Operation Support Engineer
 
 
 
 Location
 
 :
 
 
 Doha, Qatar
 
 
 
 Contract
 
 :
 
 Yearly Renewable
 
 
 
 
 
 Role Summary:
 
 
 Responsible for the operation, maintenance, and support of Cisco IPCC/IVR platforms, ensuring high availability, performance, and seamless call center operations.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Provide 24x7 operational support and incident management (NOC coordination, on-call rotation)
 </li>
 <li>
 Manage and maintain Cisco IPCC, CVP, and Call Manager systems
 </li>
 <li>
 Configure and troubleshoot IP Telephony, PRI, Voice Gateways, and Call Routing
 </li>
 <li>
 Develop and maintain ICM scripts and TCL scripts
 </li>
 <li>
 Monitor platform performance, alarms, and ensure timely issue resolution
 </li>
 <li>
 Handle IVR services, outbound campaigns, and backend integrations
 </li>
 <li>
 Generate reports, analytics, and system diagnostics
 </li>
 <li>
 Support change management (CAB), deployments, and DR setups
 </li>
 <li>
 Coordinate with internal teams and vendors for smooth operations
 </li>
 </ul>
 
 Required Skills:
 
 <ul>
 <li>
 Strong experience in Cisco Contact Center (IPCC/UCCE/UCCX)
 </li>
 <li>
 Hands-on with CVP, CUCM, Voice Gateway, ICM Scripting
 </li>
 <li>
 Knowledge of VoIP, IP Networking, PRI/BRI, Call Flows
 </li>
 <li>
 Basic knowledge of SQL Server / RDBMS
 </li>
 <li>
 Good communication and teamwork skills
 </li>
 </ul>
 
 Qualifications &amp; Experience:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Telecom / Computer Science / Electronics
 </li>
 <li>
 3&ndash;6+ years experience in IP Telephony / Contact Center technologies
 </li>
 <li>
 Cisco voice certification (preferred)
 </li>
 </ul>
 
 
 
 
 
 For applying, please send your most updated cv and details below to
 
 sathvik.shetty@linnk.com
 
 
 
</div>

Support Engineer

Explore 226+ Backend engineer in Doha this April. Find roles across top companies and apply now to boost your career.

226 backend engineer jobs In Doha

Senior Fullstack Developer (Backend-Focused, All-Rounder)

Senior Software Engineer Backend or Full Stack

DevOps Engineer, GPS

Senior Software Engineer - Data Platform (AI & Distributed Systems)

Senior Software Engineer - Data Platform (AI & Distributed Systems)

Full Stack Software Engineer (Forward Deployed)

Support Engineer