Urwah Admin

Integrant

<div>We are seeking an exceptional Senior Lead who combines deep hands-on SysOps/HPC expertise with the strategic vision of a solution architect. This is a rare dual-track role: you operate at the intersection of elite technical execution and client-facing presales, designing and running mission-critical GPU, HPC, and Kubernetes platforms while simultaneously co-creating opportunity with our commercial teams. 
This role carries both SysOps, HPC depth and DevOps. You are expected to spend at least 60% of your time on implementation and technical execution
What You Will Do
Presales &amp; Business Development<ul><li>Partner with sales and solution teams to identify and qualify new opportunities</li><li>Lead or support technical presales activities: discovery workshops, RFP responses, architecture presentations</li><li>Build and deliver proof-of-concepts (POCs) that demonstrate platform capabilities to prospective clients</li><li>Prepare high-quality technical materials</li><li>Act as a trusted technical advisor during client conversations, proposing solutions aligned to business goals</li></ul> 
In-Account Delivery &mdash; SysOps &amp; DevOps Execution<ul><li>Operate directly within client accounts as a senior SysOps/DevOps engineer
</li><li>Run, troubleshoot, and optimize production-grade Kubernetes clusters and GPU/HPC environments hands-on</li><li>Own Linux system administration at a deep level: kernel tuning, storage, networking, performance profiling</li><li>Implement and maintain IaC pipelines, GitOps workflows, and CI/CD systems</li><li>Serve as the senior escalation point for complex operational incidents within accounts</li></ul> 
Architecture &amp; Solution Design<ul><li>Design end-to-end platform architectures spanning cloud, hybrid, and on-premises HPC environments</li><li>Define workload isolation models, networking architectures, and storage strategies for multi-tenant platforms</li><li>Recommend and validate technology choices aligned to client scale, budget, and team maturity</li><li>Produce architecture decision records (ADRs), solution blueprints, and technical runbooks</li></ul>
Technical Competencies &amp; Requirements
1. Architecture &amp; System Design<ul><li>Design production-grade multi-cluster Kubernetes platforms:</li><li>RKE2, EKS (AWS), AKS (Azure) at enterprise scale</li><li>GPU-aware clusters: NVIDIA H100 / A100 / B200 node pools</li><li>Hybrid cloud + on-premises HPC infrastructure</li><li>Define and document:</li><li>Workload isolation: namespaces, MIG partitioning, multi-tenancy models</li><li>Networking: BGP peering, Ingress controllers, service mesh (Istio / Cilium)</li><li>Storage: Longhorn, Ceph, distributed and high-throughput file systems</li></ul> 
2. Platform Engineering &amp; GitOps Strategy<ul><li>Define and enforce platform standards across the delivery lifecycle</li><li>GitOps tooling: ArgoCD, Fleet &mdash; declarative cluster management</li><li>CI/CD pipelines: Azure DevOps, Jenkins &mdash; build, test, promote</li><li>Infrastructure as Code: Terraform (modules, remote state, workspaces), Ansible</li><li>Standardize cluster bootstrapping, app deployment lifecycle, environment promotion (Dev QA Prod)</li></ul> 
3. AI / GPU Infrastructure Architecture (Priority Competency)<ul><li>Design and operate GPU compute platforms at scale:</li><li>GPU Operator deployment and lifecycle management</li><li>MIG (Multi-Instance GPU) partitioning for multi-tenant workloads</li><li>Advanced scheduling: Run:AI, Kubernetes-native GPU scheduling (device plugins)</li><li>Understand AI workload classes and their infrastructure implications:</li><li>Distributed training workloads (data/model/pipeline parallelism)</li><li>Inference pipelines &mdash; NVIDIA Triton Inference Server, TensorRT optimization</li><li>Align infrastructure to the full AI stack:</li><li>CUDA stack, cuDNN, NCCL collective communication libraries</li><li>High-speed networking: InfiniBand (HDR/NDR), RoCE for RDMA</li><li>GPUDirect RDMA / GPUDirect Storage for low-latency data paths</li></ul> 
4. Observability &amp; Reliability Engineering<ul><li>Define and implement full-stack observability:</li><li>Metrics: Prometheus, Thanos (long-term retention, multi-cluster)</li><li>Logs: Loki, Fluent Bit</li><li>GPU telemetry: DCGM Exporter, NVIDIA Nsight Systems</li><li>Build operational frameworks:</li><li>SLO / SLA definitions and error budget tracking</li><li>Alerting strategy &mdash; noise reduction, severity routing</li><li>Incident response playbooks and on-call runbooks</li></ul> 
5. Security &amp; Multi-Tenancy Architecture<ul><li>Design zero-trust security postures for multi-tenant platforms</li><li>Secret management: HashiCorp Vault, External Secrets Operator</li><li>Identity and access: IAM, RBAC, SSO/OIDC integration</li><li>Network isolation: NetworkPolicy, micro-segmentation, mTLS</li><li>Secure GPU sharing: MIG isolation, VGPU licensing, tenant boundary enforcement</li></ul> 
6. HPC, Data &amp; Storage Architecture (Priority Competency)<ul><li>Understand the high-performance storage for AI/HPC workloads:</li><li>GPUDirect Storage &mdash; bypassing CPU for GPU-native I/O</li><li>Distributed file systems: Weka (high-throughput NFS/S3), Ceph (scalable object/block)</li><li>Storage tiering, caching strategies, and data lifecycle management</li><li>Size and validate storage architectures against workload I/O profiles</li></ul> 
7. Operational Leadership &amp; Linux Systems<ul><li>Lead incident response and root cause analysis (RCA) for critical production issues</li><li>Define upgrade strategies, change management procedures, and disaster recovery plans</li><li>Write and maintain runbooks, operational playbooks, and knowledge base content</li><li>Integrate organizational processes, compliance requirements, and security policies into operational frameworks</li><li>Deep Linux expertise:</li><li>Kernel tuning (CPU governor, NUMA, IRQ affinity, hugepages)</li><li>Storage I/O scheduling, NVMe optimization</li><li>Network stack tuning for RDMA / InfiniBand</li><li>System performance profiling and bottleneck analysis</li></ul> 
Candidate Profile &mdash; Who You Are<ul><li>you are comfortable running production systems.</li><li>You have stronger SysOps and HPC depth than DevOps breadth, and you embrace that identity</li><li>You can shift fluidly between running a live incident, presenting an architecture to a CTO, and reviewing a POC demo environment</li><li>You communicate technical complexity clearly &mdash; to engineers and to C-level stakeholders</li><li>You understand why specific tooling choices matter (not just how to configure them) and can articulate trade-offs in presales conversations</li><li>You are comfortable owning outcomes across both commercial (presales) and delivery (operations) dimensions</li><li>You thrive in ambiguity and can scope both short POCs and long-horizon platform programs</li></ul> 
Requirements 
Required<ul><li>10+ years in platform/infrastructure engineering, with at least 2 years in architect-level role</li><li>Proven hands-on experience operating Kubernetes at scale in production (multi-cluster, multi-tenant)</li><li>Significant Linux systems administration experience &mdash; kernel, networking, storage at a low level</li><li>HPC and/or GPU infrastructure experience &mdash; physical GPU servers, NCCL, InfiniBand, or high-speed fabrics</li><li>Demonstrable presales or client-facing experience
</li><li>IaC experience: Terraform and/or Ansible in production environments</li><li>Strong understanding of GitOps and CI/CD pipelines in enterprise settings</li></ul> 
Strongly Preferred<ul><li>Experience with NVIDIA GPU Operator, MIG partitioning, Run:AI, or equivalent GPU scheduling tooling</li><li>Knowledge of distributed AI training infrastructure (PyTorch DDP, Horovod, DeepSpeed) from an infrastructure perspective</li><li>Familiarity with NVIDIA Triton Inference Server or TensorRT deployment pipelines</li><li>Experience with Weka, Ceph, or GPUDirect Storage in HPC/AI environments</li><li>Hands-on experience with Vault, External Secrets, and zero-trust network architectures</li><li>Exposure to bare-metal provisioning and HPC cluster management (Slurm, PBS, or equivalent)</li></ul> 
Certifications (Advantageous)<ul><li>CKA / CKS (Certified Kubernetes Administrator / Security Specialist)</li><li>RHCE / RHCA (Red Hat Certified Engineer / Architect)</li><li>AWS Solutions Architect / Azure Solutions Architect Expert</li><li>HashiCorp Terraform Associate or Vault Associate</li><li>NVIDIA DLI certifications (GPU computing, AI infrastructure)</li></ul> 
Benefits 
<ul><li>
Why Integrant?
</li><li>Competitive compensation package
</li><li>PTO, full medical and dental coverage, etc.
</li><li>Opportunity to travel and work onsite with U.S. customers
</li><li>In-house Technical and English training programs
</li><li>Dedicated learning time (check out our 4Plus1 Program) [link]
</li><li>Interest free loans
</li><li>Flexible work schedules
</li><li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Devops & SysOps Architect

<div>Job Overview
Integrant is seeking a highly motivated and experienced Lead Storage Engineer to join our team and play a key role in managing our data storage infrastructure. The ideal candidate will have extensive experience with DDN and VAST storage solutions, as well as a strong understanding of storage area networks (SANs) and network attached storage (NAS). In this role, you will be responsible for all aspects of storage administration, including provisioning, configuration, monitoring, and troubleshooting. This is a customer-facing position. 
 
Responsibilities
<ul><li>Design, deploy, configure, and operate high-performance storage solutions using either WEKA or VAST to meet application performance, scalability, and availability requirements.
</li><li>Build and support scale-out storage platforms for HPC and AI/ML workloads.
</li><li>Install, configure, and maintain storage systems aligned with architectural standards and customer needs.
</li><li>Provision and manage storage resources, including file systems, volumes, snapshots, and quotas.
</li><li>Configure and manage storage pools and data services within WEKA or VAST environments.
</li><li>Implement and maintain data protection strategies, including snapshots, replication, and backup integrations.
</li><li>Monitor storage performance, health, and capacity utilization; proactively identify and address bottlenecks.
</li><li>Troubleshoot and resolve storage-related issues across distributed storage environments.
</li><li>Perform routine maintenance, upgrades, and lifecycle management activities.
</li><li>Collaborate with compute, networking, and platform teams to support end-to-end infrastructure operations.
</li><li>Document storage architectures, configurations, operational procedures, and troubleshooting runbooks.
</li><li>Participate in a weekly on-call rotation and respond to storage-related incidents.
</li><li>Stay current on WEKA and VAST product updates, as well as broader storage industry best practices. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
</li><li>10+ years of experience administering enterprise, cloud, or high-performance storage systems.
</li><li>Hands-on experience with either WEKA or VAST storage platforms in production environments.
</li><li>Experience with other enterprise or high-performance storage technologies (e.g., DDN, Pure, NetApp) is beneficial.
</li><li>Strong understanding of scale-out storage architectures and high-performance file systems.
</li><li>Solid knowledge of storage access protocols such as NFS, SMB, and parallel file system concepts.
</li><li>Strong Linux systems administration skills.
</li><li>Experience monitoring, tuning, and troubleshooting performance-sensitive workloads.
</li><li>Excellent problem-solving and analytical skills.
</li></ul>Preferred Qualifications<ul><li>Experience supporting HPC, AI/ML, or data-intensive workloads.
</li><li>Familiarity with GPU-accelerated environments and large-scale compute clusters.
</li><li>Experience with storage performance benchmarking and capacity planning.
</li><li>Scripting or automation experience (e.g., Python, Bash).
</li><li>Exposure to cloud storage concepts or hybrid storage architectures.
</li><li>Experience with IT service management tools (e.g., TopDesk) is a plus. 
</li></ul> 
 
Benefits 
<ul><li>
Salary paid in USD</li><li>
Six-month career advancing opportunities</li><li>
Supportive and friendly work environment</li><li>
Premium medical insurance [employee +family]</li><li>
English language development courses</li><li>
Interest-free loans paid over 2.5 years</li><li>
Technical development courses</li><li>
Planned overtime program (POP)</li><li>
Employment referral program</li><li>
Premium location in Maadi</li><li>
Social insurance</li></ul></div>

Storage Lead Engineer

<div>We are seeking a skilled and experienced Principal DevOps/SysOps Engineer to join our innovative team. The ideal candidate possesses a strong knowledge in Linux Servers administration, Managing clusters, monitoring tools, containerization (Docker and Kubernetes), cloud platforms (AWS, Azure, Google), infrastructure-as-code (Terraform and Ansible), and scripting languages using Bash and Python. If you are a seasoned professional with a deep understanding of the software development lifecycle, we invite you to apply and contribute to our dynamic and collaborative environment.
If you are a passionate and experienced Principal DevOps/SysOps Engineer with a comprehensive skill set, including expertise in Linux, we encourage you to apply and contribute to our cutting-edge projects and initiatives.
Responsibilities:<ul><li>
Deploy, configure, and maintain Linux and Windows servers across physical and virtual environments.</li><li>
Strong knowledge of HPC cluster management, job scheduling systems like SLURM or Run:AI</li><li>
Hands on experience of Docker containers and Kubernetes, implementation, administration and optimization within complex large scale environments</li><li>
Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, GitOps and cloud technologies.</li><li>
Proficiency in scripting languages such as Bash, Python for automation and performance tuning.</li><li>
Experience with high-speed interconnects (Infiniband, Ethernet), distributed storage systems, and cluster networking.</li><li>
Configure and maintain firewalls, load balancers, and VPNs.</li><li>
Proven ability to troubleshoot complex system and networking issues in large-scale clusters.</li><li>
Install and utilize monitoring tools to ensure the health, performance, and security of systems.</li><li>
Worked with at least one major cloud provider (AWS, Azure, or Google) to deploy and manage cloud-based solutions.</li><li>
Apply knowledge of cybersecurity best practices to enhance the security posture of systems.</li><li>
Utilize infrastructure-as-code tools like Terraform and Ansible for efficient and reproducible infrastructure deployment.</li><li>
Possess a good understanding of the software development lifecycle to collaborate effectively with development teams.</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Computer Science, Information Technology, or a related field with 5+ years of experience.</li><li>
Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, and cloud technologies.</li><li>
Strong knowledge and hands-on experience with Docker containers and Kubernetes.</li><li>
Interaction with at least one major cloud provider (AWS, Azure, or Google).</li><li>
Understanding and application of cybersecurity principles.</li><li>
Proficiency in infrastructure-as-code tools like Terraform and Ansible.</li><li>
Excellent scripting skills in Bash and Python.</li><li>
Familiarity with the software development lifecycle.</li><li>
Strong knowledge of Linux operating systems.</li></ul>
Preferred Experience:<ul><li>
CKA/CKAD/CKS certification.</li><li>
Certifications in relevant DevOps, cloud, and cybersecurity domains.</li><li>
Additional scripting languages and automation tool proficiency.</li><li>
Active participation in community forums or open-source projects.</li></ul> 

Benefits 
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi</li>
<li>Social insurance</li></ul></div>

Principal SysOps Engineer

<div>About Integrant
For 34 years, Integrant has designed and delivered advanced, business solutions for U.S. enterprises in biotech, medical devices, manufacturing, finance, and related highly regulated industries. Our teams are experts in traditional web and mobile applications, AI/HPC infrastructure support, data engineering, predictive AI, machine learning, and Agentic solutions. We build long-term partnerships&mdash;two-thirds of our customers choosing to partner with us 5+ years&mdash;by solving mission-critical problems with rigor, empathy, and measurable outcomes.
Job Overview:
This role is vital in ensuring the quality and reliability of our software products by balancing both manual and automated testing methodologies. This position bridges the gap between software development and quality assurance, emphasizing both coding and comprehensive testing expertise. Conduct root cause analysis for defects, and continuously improve testing processes and efficiency.
Duties &amp; Responsibilities:
<ul><li>Review requirements and design of system to be implemented</li><li>
Design and review test cases and test scripts</li><li>
Ability to define test case execution priority and impact analysis</li><li>
Recommend, implement, and work with test management, defect management, performance, and automation tools</li><li>
Log issues and track until closure</li><li>
Communicate with project manager regarding project issues, impacts to the schedule, and performance issues</li><li>
Able to understand new testing techniques, technologies, and tool</li><li>
Work within an agile, self-organizing Scrum team</li><li>
Coordinate with the engineers on Result and Defects Status on a regular basis</li><li>
provide comprehensive test reports
</li><li>SDET: Writing unit test for testing API and business layer</li><li>
SDET: Enhancing Testability of the Code</li><li>
SDET: Fixing Minor Defects Discovered During Testing</li><li>
SDET: Implementing Test Support Features</li><li>
SDET: Documenting API endpoints or services to aid both testing and development efforts</li>
Work with the lead on creating test plan and executing 
<li>
</li></ul> 
 
Requirements 
<ul><li>
6+ years of hands-on experience in software testing</li><li>
Hands-on experience in OOP and one or more programming languages: C#, Java, JS, SQL</li><li>
Good experience with Selenium, TestNG, Junit, Nunit</li><li>
Hands-on experience with multiple types of testing including UI, System/Integration, API, and Agile</li><li>
Background in Performance testing is nice to have</li><li>
Very Good knowledge in test planning and test strategy design</li><li>
Good knowledge in testing estimation techniques</li><li>
Strong analytical and problem-solving skills with keen attention to detail</li><li>
Proficient in English (verbal and written)</li><li>
Good work ethics, Team player, positive and self-motivated</li><li>
Strong Communication and Interpersonal skills</li><li>
Database manipulation skills, mainly in SQL</li><li>
Good time-management skills</li><li>
Good knowledge of Agile development Methodology and agile testing</li><li>
Great attention to detail and organized</li><li>
Fair Knowledge about Cloud, ETL and DevOps Concepts</li><li>
Flexible and Adaptable to client and project changes</li><li>
Behavior-Driven Development (BDD) (e.g., Cucumber, SpecFlow)</li><li>
SDET: Advanced programming Good understanding of custom exception, intermediate level in linq , dependency injection and lose coupling to increase testability.
</li><li>SDET: Proficient with CI/CD tools such as Jenkins, GitLab
</li><li>SDET: Understand common design patterns and architecture patterns</li><li>
SDET: Solid understanding of data structures e.g dictionary , list , hashset</li></ul> 

Benefits 
<ul><li>
Why Integrant?
</li><li>Competitive compensation package
</li><li>PTO, full medical and dental coverage, etc.
</li><li>Opportunity to travel and work onsite with U.S. customers
</li><li>In-house Technical and English training programs
</li><li>Dedicated learning time (check out our 4Plus1 Program) [link]
</li><li>Interest free loans
</li><li>Flexible work schedules
</li><li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Principal Software Developer in Test (SDET)

<div>About Integrant
Integrant is a leading software development company partnering with innovative US-based clients to build high-quality software solutions across various industries. We foster a collaborative, growth-oriented environment where engineers work directly with international clients, influence technical decisions, and contribute to impactful products.
Position Overview
We are seeking a Principal Backend Engineer (C/C++) to join our growing engineering team. This role is ideal for a highly skilled software engineer who enjoys solving complex technical challenges, designing scalable backend systems, and contributing to architecture decisions while collaborating closely with cross-functional teams and international stakeholders.
As a Principal Backend Engineer, you will play a key role in designing, developing, optimizing, and maintaining high-performance backend applications and services using modern C/C++ technologies. You will be expected to demonstrate strong technical ownership, mentor team members, and contribute to engineering excellence across projects.
Key ResponsibilitiesSoftware Development &amp; Design<ul><li>
Design, develop, test, and maintain high-performance backend applications using C and C++.</li><li>
Build scalable, reliable, and maintainable software solutions aligned with business requirements.</li><li>
Develop reusable components, libraries, and frameworks to improve development efficiency.</li><li>
Participate in system architecture discussions and technical design reviews.</li><li>
Optimize system performance, memory usage, and application responsiveness.</li></ul>
Technical Leadership<ul><li>
Provide technical guidance and mentorship to software engineers.</li><li>
Review code to ensure quality, maintainability, and adherence to engineering standards.</li><li>
Drive best practices in software design, coding standards, testing, and documentation.</li><li>
Contribute to technical decision-making and architecture evolution.</li></ul>
Collaboration &amp; Client Engagement<ul><li>
Work closely with Product Owners, Architects, Project Leads, QA Engineers, and DevOps teams.</li><li>
Participate in requirements analysis and solution design sessions.</li><li>
Communicate effectively with US-based clients and stakeholders.</li><li>
Support project planning, estimation, and risk identification.</li></ul>
Quality &amp; Continuous Improvement<ul><li>
Write unit tests, integration tests, and support automation efforts.</li><li>
Troubleshoot and resolve complex production issues.</li><li>
Continuously evaluate and improve system reliability, performance, and security.</li><li>
Stay updated with emerging technologies and industry best practices.</li></ul> 

Requirements 
 
Experience<ul><li>
8+ years of professional software development experience.</li><li>
Strong hands-on experience developing backend systems using C and C++.</li><li>
Proven experience building and maintaining large-scale, high-performance applications.</li><li>
Experience working in Agile/Scrum development environments.</li><li>
Experience working directly with clients or distributed teams is highly preferred.</li></ul>
Technical Skills<ul><li>
Strong expertise in modern C++ (C++11/14/17 and beyond).</li><li>
Deep understanding of Object-Oriented Programming (OOP) principles and design patterns.</li><li>
Strong knowledge of Data Structures, Algorithms, and Software Engineering principles.</li><li>
Experience with multithreading, concurrency, synchronization, and parallel programming.</li><li>
Experience with memory management, performance tuning, and debugging complex applications.</li><li>
Strong understanding of networking fundamentals, sockets, and communication protocols.</li><li>
Experience developing software on Linux environments.</li><li>
Proficiency with Git and source control best practices.</li></ul>
Database &amp; Systems Knowledge<ul><li>
Experience working with relational databases such as SQL Server, PostgreSQL, or MySQL.</li><li>
Understanding of distributed systems concepts.</li><li>
Familiarity with microservices architecture is a plus.</li></ul>
Soft Skills<ul><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Strong ownership and accountability.</li><li>
Ability to mentor and influence technical teams.</li><li>
Growth mindset and continuous learning attitude.</li></ul>
Preferred Qualifications<ul><li>
Experience with embedded systems, real-time systems, or high-performance computing environments.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP).</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with CI/CD pipelines and DevOps practices.</li><li>
Exposure to Python, Bash scripting, or other automation technologies.</li><li>
Experience in financial systems, telecommunications, gaming, healthcare, or large-scale enterprise applications.</li></ul> 

Benefits 
<ul><li>
Salary paid in USD</li><li>
Six-month career advancing opportunities</li><li>
Supportive and friendly work environment</li><li>
Premium medical insurance [employee +family]</li><li>
English language development courses</li><li>
Interest-free loans paid over 2.5 years</li><li>
Technical development courses</li><li>
Employment referral program</li><li>
Premium location in Maadi</li><li>
Social insurance</li></ul></div>

Lead Backend Engineer (C/C++)

<div>We Are Hiring!
We are looking for passionate professionals to join our team as a Lead Software Engineer &ndash; Java Full Stack
Roles and Responsibilities<ul><li>
Be part of a high-performing team of software engineers delivering scalable and robust solutions within our microservices platform.</li><li>
Design, develop, automate testing, document, and maintain software applications.</li><li>
Actively participate in technical requirements elicitation with clients.</li></ul>
Software Development &amp; Implementation<ul><li>
Perform programming tasks according to the project plan and functional specifications.</li><li>
Conduct unit testing for assigned tasks.</li><li>
Integrate team outputs into the overall project solution and deployment packages.</li><li>
Manage project configuration and release deployments.</li><li>
Perform smoke testing for deployed releases.</li><li>
Gather and prepare release notes.</li></ul>
Team Leadership &amp; Technical Coaching<ul><li>
Coach and guide the technical team on best practices, standards, and appropriate design patterns.</li><li>
Conduct code reviews for the development team.</li><li>
Take overall responsibility for project code quality.</li><li>
Guide the team in adopting and applying Agile approaches and practices.</li><li>
Break down backlog features into smaller tasks to improve team effectiveness and delivery.</li><li>
Assign tasks to team members in alignment with priorities and deliverables, in coordination with the Project Manager (PM).</li><li>
Keep the PM updated on project progress, team status, and performance.</li><li>
Escalate project risks, task dependencies, and potential impediments to the PM.</li><li>
Conduct technical research to acquire new knowledge and resolve technical challenges.</li></ul>
Estimation &amp; Planning<ul><li>
Provide development effort estimates for new features and components in collaboration with the development team.</li><li>
Participate in estimating new project modules and features and communicate estimates to the PM.</li><li>
Highlight potential development risks and task dependencies to the PM.</li></ul>
Architecture &amp; Analysis<ul><li>
Participate in the analysis of new functional requirements and systems.</li><li>
Build solution architectures in collaboration with the team.</li><li>
Align and confirm the proposed solution architecture with the PM before implementation kickoff.</li><li>
Provide the team with the design and architectural guidance for project systems and components.</li></ul> 
Requirements 
<ul><li>
At least 8+ years of experience.</li><li>
BS/MS degree in Computer Science, or Computer Engineering.</li><li>
Strong, in-depth, hands-on experience in Java, Spring , AWS technologies, microservices.</li><li>
Experience with Cloud hosting, security, authentication, and authorization, Docker, TDD.</li><li>
Strong Experience in SQL</li><li>
In depth knowledge of industry standard best practices, development lifecycle processes and methodologies.</li><li>
Experience using agile methodology.</li><li>
Good Knowledge in (HTML5, CSS3, Json ,JavaScript, JQuery, AJAX,Bootstrap).</li><li>
Frontend experience is a must.</li><li>
Good knowledge in Web Technologies (HTML/ XML / XSD / XSLT / XPath).</li><li>
Excellent analytical and creative problem solving skills.</li><li>
Good work ethics, Team player, positive and self-motivated.</li><li>
Strong Communication &amp; Interpersonal skills.</li><li>
Excellent command of English language is a plus.</li><li>
Ability to independently handle projects and support tasks, delivering results efficiently.</li><li>
Excellent problem-solving skills with a focus on finding scalable and long-term solutions.</li><li>
Ability to adapt to a fast-paced environment and handle multiple priorities simultaneously.</li><li>
A self-motivated and detail-oriented individual with a passion for continuous learning and growth.</li></ul> 

Benefits 
<ul>
<li>Why Integrant?</li>
<li>Competitive compensation package</li>
<li>PTO, full medical and dental coverage, etc.</li>
<li>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program) [link]</li>
<li>Interest free loans</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Lead Software Engineer - Java Full Stack

<div>We Are Hiring!
Integrant is looking for game changers to join our team as &quot;Data Scientist - AI &amp; Machine Learning&quot; with below roles and responsibilities:<ul><li>
Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.
</li><li>Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.
</li><li>Conduct open research and experimentation to develop innovative solutions for complex client challenges.
</li><li>Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.
</li><li>Design and implement end-to-end Machine Learning and Generative AI solutions.
</li><li>Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.
</li><li>Develop scalable model deployment and monitoring solutions using MLOps best practices.
</li><li>Monitor model performance, detect concept drift, and continuously improve deployed systems.
</li><li>Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.
</li><li>Mentor and coach junior Data Scientists and Machine Learning Engineers.
</li><li>Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.
</li><li>Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.</li></ul> 

Requirements 
Education &amp; Experience<ul><li><ul><li>
10+ years of professional experience, including 7+ years in Data Science, Machine Learning &amp; MLOps</li><li>
MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.</li><li>
PhD is preferred, in related field.
</li><li>Experience mentoring, coaching, or leading technical team members.</li></ul></li></ul>
Data Science &amp; Machine Learning<ul><li><ul><li>
Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.</li><li>
Experience with Deep Learning concepts and frameworks.</li><li>
Extensive hands-on experience with Python and the Data Science ecosystem.</li><li>
Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.</li><li>
Experience conducting research, experimentation, and hypothesis-driven analysis.</li></ul></li></ul>
MLOps &amp; Production AI<ul><li><ul><li>
Experience deploying and managing Machine Learning models in production environments.</li><li>
Experience monitoring model performance, detecting concept drift, and driving continuous improvements.</li><li>
Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.</li><li>
Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.</li><li>
Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.</li><li>
Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.</li></ul></li></ul>
Generative AI &amp; Agentic AI<ul><li><ul><li>
Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.</li><li>
Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.</li><li>
Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.</li><li>
Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.</li><li>
Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.</li><li>
Strong understanding of prompt engineering techniques and LLM optimization.</li><li>
Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.</li><li>
Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.</li></ul></li></ul>
Nice to Have:
Advanced AI &amp; Data Science<ul><li>
Reinforcement Learning (RL)</li><li>
Optimization techniques, including single-objective and multi-objective optimization</li><li>
Stochastic Local Search methods</li><li>
Knowledge Graphs and Graph Machine Learning.</li></ul>
Cloud &amp; Data Engineering<ul><li>
Experience building large-scale data pipelines on Azure, AWS, or GCP.</li><li>
Experience with Databricks and Apache Spark.</li><li>
Experience with distributed data processing architectures.</li></ul>
Leadership &amp; Consulting<ul><li>
Experience leading AI initiatives and technical strategy.</li><li>
Experience working directly with international clients and stakeholders.</li><li>
Experience defining AI architecture, standards, and best practices across teams.</li></ul> 

Benefits 
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi &amp; Nasr City</li>
<li>Social insurance</li>
<li>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program)</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Lead Data Scientist - AI & Machine Learning

Join Integrant and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.