data science and iot manager

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
Own your opportunity to turn data into measurable outcomes for our customers&rsquo; most complex challenges. As a Data Scientist Manager at GDIT, you&rsquo;ll power innovation to drive mission impact and grow your expertise to power your career forward.</p><p><br>
The work you&rsquo;ll do at GDIT will be impactful to the mission of the Centers for Medicare &amp; Medicaid Services quality reporting programs. You will play a crucial role in developing data-driven solutions to complex business challenges, using advanced tools and computational skills to interpret, connect, predict, and make discoveries in data.</p><p></p><p>
MEANINGFUL WORK AND PERSONAL IMPACT:</p><p></p><ul><li>
Contribute to completion of specific programs and projects.</li><li>
Utilize advanced tools (e.g., Python, PySpark, Databricks) and computational skills to interpret, connect, predict, and make discoveries in data.</li><li>
Collaborate with internal and external team members to achieve the mission.</li><li>
Evaluate the effectiveness and accuracy of new data sources and gathering techniques.</li><li>
Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes.</li><li>
Optimize jobs performance and resource usage, identifying and addressing bottlenecks and inefficiencies in backend systems</li><li>
Write clean, well-structured, and maintainable code, adhering to established coding standards and best practices.</li><li>
Perform thorough code reviews, providing constructive feedback to peers and identifying potential risks or areas for improvement.</li><li>
Debug and resolve defects, proactively identifying and addressing potential issues before they impact users.</li><li>
Create and maintain comprehensive technical documentation.</li><li>
Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team.</li><li>
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>
May develop processes and machine learning based tools to monitor and analyze model performance and data accuracy.</li><li>
Manage team of similar disciplines and quality of delivery.</li></ul><p></p><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED:</p><p></p><ul><li>
Education: Bachelor of Science</li><li>
5+ years of experience with CMS Medicare hospital quality measures and reporting initiatives required.</li><li>
Python / Apache Spark, Databricks.</li><li>
Strong understanding of software design patterns, data structures, and algorithms.</li><li>
Experience with Agile development methodologies.</li><li>
Related experience in analytic programming, data extraction, querying databases/data warehouses and data analysis.</li><li>
SAS, R, AWS experience preferred.</li></ul><p></p><p>
GDIT IS YOUR PLACE:</p><p></p><ul><li>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.</li><li>
Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>
Support: An internal mobility team focused on helping you achieve your career goals</li><li>
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>
Community: Award-winning culture of innovation and a military-friendly workplace</li></ul><p></p><p>
OWN YOUR OPPORTUNITY</p><p><br>
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
8 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $129,813 - $155,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
Our Identity Verification Process</p><div>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Data Scientist Manager

propio

<div>Description:<p></p><p><br>
Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you&rsquo;re passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.</p><p>
We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.</p><p>
Propio is hiring an <b>AI Data Strategy Engineer / Applied Scientist, LLM Data</b> to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.</p><p>
This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.</p><p>
The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.</li><li>
Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.</li><li>
Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.</li><li>
Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.</li><li>
Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.</li><li>
Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.</li><li>
4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.</li><li>
Strong hands-on experience with Python, SQL, and dataset curation pipelines.</li><li>
Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.</li><li>
Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.</li><li>
Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.</li><li>
Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.</li></ul><p></p><p><b><br>
Preferred Qualifications</b></p><ul><li>
Master&rsquo;s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.</li><li>
Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.</li><li>
Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.</li><li>
Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.</li></ul></div>

AI Data Strategy Engineer / Applied Scientist, LLM Data

Apple

<p>What if the way an entire engineering organization worked with its data could be reinvented? On Apple's Battery Engineering team, you'll build the data systems and AI interface that battery engineers across the company rely on - reliable pipelines feeding one of the cleanest and largest battery datasets anywhere, and a natural language interface that's changing how engineers work with that data. You'll be building the platform the whole battery organization runs on. It's a rare chance to sharpen your data engineering craft and immerse yourself in applied AI at once - on a mission where your work shows up in the products millions of people use every day.<br>
<br>
<b>Description</b><br>
<br>
We're looking for a data engineer to build that platform across two tightly connected fronts.<br>
<br>
First, you'll expand the Battery Data Warehouse (BDW) - a mature, exceptionally clean dataset that spans the entire battery product development lifecycle: raw materials and characterization, fabrication, performance testing, simulation and modeling, qualification, manufacturing, and field telemetry. You'll build reliable pipelines that bring this data - structured, semi-structured, and unstructured - out of disparate systems owned by teams around the world. A big part of the job is technical; an equally big part is human: earning the trust of source-system owners, opening up new integration opportunities, and establishing and enforcing the SLAs that keep BDW dependable.<br>
<br>
Second, you'll build out BARD, the natural language interface to BDW. Done well, BARD will fundamentally change how battery engineers interact with their data - not just replacing dashboards and SQL with conversation, but pairing it with on-demand, in-line charting for real-time analysis and new ways to explore data. Think of it as giving every engineer their own personal data scientist. You'll engineer the full agentic stack: our custom MCP server, agentic search, domain knowledge, tool design, evals, and the end-to-end user experience.<br>
<br>
The role combines data engineering and AI engineering work and calls for someone who&rsquo;s both highly self-directed and an exceptional collaborator. You'll take real ownership and drive projects forward, while staying closely aligned with the team and our broader direction.&quot;,&quot;responsibilities&quot;:&quot;Partner with cross-functional and engineering teams to identify data opportunities, define domain ontology, and establish the use cases that drive BDW<br>
<br>
Design, build, and maintain production data pipelines (ETL/ELT) that bring structured, semi-structured, and unstructured data into BDW at the right cadence and reliability<br>
<br>
Build relationships with upstream source-system owners to unlock new data integrations, and establish and enforce pipeline SLAs<br>
<br>
Engineer BARD, the natural language interface to BDW - designing the agentic stack (MCP server, agentic search, domain knowledge, tool design, evals) and its end-to-end user experience<br>
<br>
Partner with infrastructure teams (DBA, IT) to ensure the health of pipelines and the data warehouse<br>
<br>
Apply AI to your own workflow and to the battery organization's problems - bringing strong intuition for context engineering, embeddings, tokenization, and evals<br>
<br>
Deliver data analyses that drive critical decisions in battery research, development, and qualification<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
MS in Computer Science, Engineering, or a related field with 3+ years of relevant industry experience<br>
<br>
Software engineering background and strong database fundamentals: data modeling, schema design, indexing, normalization, ACID, and OLTP vs. OLAP<br>
<br>
Hands-on database development (DML, DDL, materialized views, stored procedures); Snowflake (streams, tasks, dynamic tables) a plus<br>
<br>
Hands-on experience with orchestration (e.g., Airflow), batch/stream processing, and cloud platforms (e.g., AWS)<br>
<br>
Deep curiosity about AI and hands-on experience applying it; you keep up with the latest tools, use AI daily (including for coding), and have strong intuition for tokenization, embeddings, context engineering, eval frameworks, and MCP servers, as well as a clear sense of where AI excels and where it doesn't (e.g., generating new code vs. maintaining complex existing code)<br>
<br>
Experience securing AI/LLM systems that process sensitive or regulated data, including prompt injection defense, data handling policies, and audit trail requirements<br>
<br>
Excellent written and verbal communication skills with both technical and non-technical audiences<br>
<br>
Familiarity with batteries or other deep-tech / hardware engineering domains<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS in Computer Science, Engineering, or a related field<br>
<br>
Experience with Python, SQL, and at least one other high-level programming language<br>
<br>
Experience building production data pipelines (ETL/ELT)<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Data Engineer, Battery Data Platform & AI

BAE Systems USA

<div><b>Job Description
</b><br>
BAE Systems is seeking an IT Service Owner &ndash; Data &amp; AI Platforms responsible for the strategy, architecture, reliability, security, and full lifecycle management of the enterprise data and AI platform ecosystem. This role serves as the authoritative owner of the technology stack enabling ingestion, transformation, storage, governance, access, and AI/ML platform capabilities. The leader in this role will define the technology roadmap for the enterprise data and AI platforms - powering the company&rsquo;s core data operations through technologies such as Snowflake, Dataiku, Power BI, Semarchy, and Collibra. The Service Owner ensures the platform is modern, scalable, integrated, cost-efficient, and delivers the availability and security required for a regulated defense environment.<br>
<br>
Responsibilities<ul><li>
Own the end-to-end performance, scalability, and security of the enterprise data and AI platform stack, including Snowflake, Dataiku, Power BI, Semarchy, and Collibra.</li><li>
Establish engineering standards, integration patterns, and architectural guardrails for all platform components.</li><li>
Define and govern the multi-year roadmap for services such as ingestion, ETL/ELT frameworks, orchestration, compute engines, storage layers, cataloging, access control, and observability.</li><li>
Drive modernization initiatives including lakehouse architectures, cloud-native data engineering, containerization, automation, and reliability engineering.</li><li>
Direct platform architecture across batch, micro-batch, and streaming data flows.</li><li>
Ensure robust integration between Snowflake, Dataiku, Power BI, Semarchy, Collibra, and adjacent enterprise systems.</li><li>
Oversee reliability engineering, monitoring, observability, incident response, and change management for all platform services.</li><li>
Maintain strong disaster recovery, platform resiliency, and high-availability designs.</li><li>
Implement zero-trust aligned data access, encryption, masking, and audit logging across all platform technologies.</li><li>
Govern enterprise metadata, lineage, quality, and stewardship through Collibra and Semarchy.</li><li>
Provide clear, executive-level communication of platform investment plans, risks, and architectural decisions.</li><li>
Influence leaders across cybersecurity, infrastructure, engineering, and business teams, including those outside the direct reporting line.</li><li>
Lead, mentor, and develop high-performing engineering, SRE, and platform operations teams.</li><li>
Oversee vendor management and financial stewardship for Snowflake, Dataiku, Power BI, Semarchy, Collibra, and related partners</li></ul><div>
Competencies<ul><li>
Executive presence with the ability to influence senior stakeholders on complex platform decisions.</li><li>
Deep expertise in enterprise data platforms including Snowflake, Dataiku, Power BI, Semarchy, and Collibra.</li><li>
Communication excellence, capable of translating technical platform decisions for non-technical executives.</li><li>
Strong talent-development capability and ability to build engineering organizations.</li><li>
Ability to lead engineering and platform operations teams in large, complex, matrixed enterprises.</li></ul></div><br>
<b>
Required Education, Experience, &amp; Skills
</b><br>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field (advanced degree preferred).</li><li>
12+ years of progressive experience in enterprise data platforms, cloud platforms, MDM, governance, or systems engineering roles.</li><li>
Proven experience leading platform engineering and operations for Snowflake, Dataiku, Power BI, Semarchy, and Collibra.</li><li>
Familiarity with responsible AI, governance frameworks, and MLOps practices.</li><li>
Deep expertise in secure data architectures, identity and access controls, and compliance-aligned platform management.</li><li>
Strong background in software development, systems engineering, or technical program management.</li><li>
Demonstrated capability to develop and execute enterprise-scale platform roadmaps.</li><li>
Proven ability to influence senior leaders and shape decisions across a matrixed environment.</li></ul><br>
<b>
Preferred Education, Experience, &amp; Skills
</b><br>
<ul><li>Experience in highly regulated industries such as defense, aerospace, or government.</li><li>
Experience with large-scale cloud data ecosystems, container orchestration, and observability platforms.</li></ul><p>
#LI-DM2<br>
#DM-Remote</p><br>
<b>
Pay Information</b><br>
Full-Time Salary Range: $153377 - $260743<br>
<br>
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
<br>
<br>
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.<br>
<br>
<b>About BAE Systems, Inc.</b><br>
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it&rsquo;s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts &ndash; defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team&mdash;making a big impact on a global scale. At BAE Systems, you&rsquo;ll find a rewarding career that truly makes a difference.<br>
<br>
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.</div>

Director I, IT Service Owner - Data & AI Platforms

Whitehall Resources

<div>
 <p>
  <strong>
   <u>
    Senior IoT Solutions Engineer
   </u>
  </strong>
 </p>
 <p>
  An exciting new
  <strong>
   Senior IoT Solutions Engineer
  </strong>
  opportunity has arisen, working for a leading organisation investing in the next generation of connected products and smart technology solutions.
 </p>
 <p>
  In this role, you will play a key part in designing, developing and supporting scalable IoT platforms. You'll work across the full IoT lifecycle, helping to deliver innovative connected solutions used in commercial environments.
 </p>
 <p>
  If you are an experienced IoT Engineer with strong cloud, integration and data platform expertise, we would love to hear from you!
 </p>
 <p>
  <strong>
   <u>
    Do you have:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   5+ years' experience designing and delivering enterprise IoT solutions
  </li>
  <li>
   Strong experience with IoT platforms, and cloud-based architectures
  </li>
  <li>
   Experience with Azure IoT or similar cloud IoT platforms
  </li>
  <li>
   Hands-on experience with REST APIs, MQTT, Kafka and event-driven integration patterns
  </li>
  <li>
   Experience working with SQL databases
  </li>
  <li>
   Deep understanding of commercial IoT use cases
  </li>
  <li>
   Experience integrating IoT platforms with enterprise applications, data platforms and analytics solutions
  </li>
  <li>
   Excellent problem-solving skills with experience troubleshooting connectivity and performance issues
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Do you want:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   To play a key role in the design and evolution of enterprise IoT platforms?
  </li>
  <li>
   To work with modern cloud, data and integration technologies?
  </li>
  <li>
   To collaborate with international engineering, data and product teams?
  </li>
  <li>
   To be part of exciting projects delivering connected products at scale?
  </li>
 </ul>
 <p>
  <strong>
   If so, then please do apply!
  </strong>
 </p>
 <p>
  <em>
   IoT | Azure | MQTT | Kafka | REST API | Event-Driven Architecture | Cloud Integration | SQL | Python | JavaScript | Node.js
  </em>
 </p>
</div>


Senior IoT Solutions Engineer

Information Technology Industry Development Agency, ITIDA

<div>
 <p>
  Job Purpose:
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Digital Forensics Examiner is responsible for acquiring, preserving, analyzing, and presenting digital evidence from computers, mobile devices, networks, and cloud storage in support of criminal investigations, civil litigation, and cybersecurity incidents. The examiner must follow forensically methods to ensure evidence integrity and testify in court as an expert witness when required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Accountabilities:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Evidence Acquisition &amp; Preservation:
  </li>
  <li>
   Securely seize, image, and analyze digital evidence from computers, smartphones, IoT devices, and network logs.
  </li>
  <li>
   Forensic Analysis:
  </li>
  <li>
   Conduct file recovery (deleted, encrypted, or damaged data).
  </li>
  <li>
   Examine hard drives, RAM, mobile devices, and cloud data for traces of illicit activity.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Reporting &amp; Testimony:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Prepare detailed forensic reports for law enforcement.
  </li>
  <li>
   Serve as an expert witness in court proceedings.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Cybersecurity, Digital Forensics, or a related field.
  </li>
  <li>
   Certain Certifications are a plus:
  </li>
  <li>
   Certified Forensic Computer Examiner (CFCE).
  </li>
  <li>
   GIAC Certified Forensic Analyst (GCFA).
  </li>
  <li>
   EnCase Certified Examiner (EnCE).
  </li>
  <li>
   Certified Information Systems Security Professional (CISSP)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Experience:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   8 - 10 years in digital forensics, and/or cybersecurity investigations.
  </li>
  <li>
   Proficiency in some forensic tools is needed:
  </li>
  <li>
   FTK (Forensic Toolkit), Autopsy, X-Ways, Cellebrite (UFED), EnCase, Volatility (memory forensics).
  </li>
  <li>
   Knowledge of file systems (NTFS, FAT, APFS, EXT4) and data carving techniques
  </li>
  <li>
   Experience with network forensics (Wireshark, log analysis) and malware reverse engineering.
  </li>
  <li>
   Familiarity with OSINT (Open-Source Intelligence) tools for investigations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <p>
  <strong>
   ﻿
  </strong>
 </p>
 <ul>
  <li>
   Strong analytical and problem-solving abilities.
  </li>
  <li>
   Ability to pay attention to detail while handling multiple, simultaneous projects.
  </li>
  <li>
   Excellent written and verbal communication (must produce clear forensic reports).
  </li>
  <li>
   Excellent report writing skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Digital Forensics Examining Lead

MasOrange

<div></div><div><div><div><div>Available in 2 locations<p>Available in 2 locations See allSee all</p></div><p></p><div><h2 class="jobSectionHeader"><b>
System Technical Architect and solution delivery for IoT Mobile Core (4G/5G Data, IMS, SMS)</b></h2></div><div><div>
Available in 2 locations</div><div><div><div>
HELIOPOLIS,EGYPT</div><div>
CAIRO,EGYPT</div></div></div></div></div></div><div></div><div><div>
Category: Network &amp; Infrastructure</div></div><div><div>
588581</div></div><div><div>
Regular</div></div><div><div>
Full-time</div></div><div><div>
Orange Business</div></div></div><div></div>
<br><div><p><b>Publication date :</b> Jun 30, 2026, 12:00AM</p><p>
Contract duration :
</p>Orange Business is here!<div></div>
About us<p>
Join us at Orange Business!</p><p>
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.</p><p>
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.</p>
About the role<p></p><p><b>
Context</b><br>
<b>In the</b><b>context of new IoT offers development, Orange aims at building and operating a new Mobile core dedicated to IoT. This platform is mainly composed of a mobile 4G/5G core network, an IMS solution and SMSC platform, relying on a cloud-native Kubernetes infrastructure, and will support 4G/5G data, voice, and SMS services.</b></p><p><b>
In that context, we are looking for &ldquo;a System Technical Architect&rdquo; acting as an end-to-end solution implementation leader, defining, implementing and maintaining the execution-level architecture.</b></p><p></p><p><b>
Main Responsibilities</b></p><p><b>
In collaboration with the Solution architect (in charge of HLD), with &lsquo;Telco cloud infrastructure team&rsquo; and telecom &amp; IT engineering teams:</b></p><ul><li><b>
Translate high-level architecture and system requirements into detailed and implementable Low-Level Design (LLD) including:
</b><ul><li><b>Overall Kubernetes infrastructure design (as a consumer of the infrastructure: including CNF deployment patterns, namespace and isolation strategies, networking, security and RBAC policy implementation&hellip;)
</b></li><li><b>Main application-level configurations of telecom components (data core network, IMS, SMSC functions, signalling and roaming function etc&hellip;)</b></li><li><b>
Flow matrix, networks, IP address plan, security policy for the overall architecture including interworking with external network and systems</b></li></ul></li><li><b>
Manage capacity planning according to traffic forecasts</b></li><li><b>
Ensure that the system is observable, traceable, and perform low-level design of monitoring / observability, tracing tools with concerned experts</b></li><li><b>
Ensure that the architecture is secured by design in strong coordination with security team</b></li><li><b>
Manage the delivery of the solution by:</b><ul><li><b>
Working closely with infrastructure teams in charge of K8S cluster build and operations</b></li><li><b>
Coordinating the &ldquo;engineering teams&rdquo; of the project (per sub-system) to ensure that the vertical and horizontal integrations are done and validated step-by-step</b></li><li><b>
Managing dependency with external teams</b></li><li><b>
Understanding and applying Orange processes for obtaining IP pools, feeding referentials, opening flows across different networks and build complex end-to-end integrations</b></li><li><b>
Refining architecture when integration issue at met, in coordination with the system architect and engineering teams</b></li></ul></li><li><b>
Structure and maintain documentation and version architecture evolutions</b></li><li><b>
Contribute and provide support to &ldquo;Qualification team&rdquo; by:</b><ul><li><b>
Defining the target call flows for Voice, data, SMS services</b></li><li><b>
Contribute to the definition of the testing strategy,</b></li><li><b>
Supporting for complex integration issues, troubleshooting, traces analysis</b></li></ul></li></ul><p></p>
About you<p></p><p><b>
Required Skills</b></p><p><b>
Technical skills:</b></p><p><b>
Telecom system expertise (mandatory): 4G EPC / 5G Core (5GC), IMS / VoLTE / SMS architectures, signaling protocols (SIP, Diameter, HTTP/2 SBA)</b></p><p><b>
IP/Infra low-level architecture design skills (flow matrix elaboration, IP/MPLS Networking, security architecture, resilient architecture implementation&hellip;)</b></p><p><b>
Cloud-native &amp; Kubernetes/dockers skills (consumer level)</b></p><p><b>
Complex integration &amp; troubleshooting skills, security &amp; operability awareness (design for security, observability, easy operation)</b></p><p><b>
DevOps practices awareness</b></p><p></p><p><b>
Non-technical skills:</b></p><p><b>
Ability to work in a large and complex organization</b></p><p><b>
High skills of communication to interact with several teams, in an international context</b></p><p><b>
High skill of self-organization and low detail handling</b></p><p><b>
Ability to analyze / compare / propose decisions on complex architectural topics</b></p><p><b>
Ability to document and to organize / structure documentation efficiently</b></p><p><b>
</b></p><p><b>Profile</b></p><ul><li><b>
Senior technical architect with 10 years experience</b></li><li><b>
significant experience as a technical system architect in a large-scale mobile project</b></li><li><b>
Engineering degree or equivalent in telecommunications, computer science, or related fields.</b></li></ul><p></p><p><br>
You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.</p><p></p>
What we offer<p></p><ul><li><b>Global Opportunities:</b> Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.</li><li><b>Flexible Work Environment:</b> Flexible working hours and possibility to combine work from office and home (hybrid ways of working).</li><li><b>Professional Development:</b> training programs and upskilling/re-skilling opportunities.</li><li><b>Career Growth:</b> Internal growth and mobility opportunities within Orange.</li><li><b>Caring and Daring Culture:</b> Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.</li><li><b>Reward Programs:</b> Employee Referral Program, Change Maker Awards.</li></ul><p></p>
Only your skills matterRegardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.<div><b>
At Orange, only your skills matter.
</b></div>
<p>Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.<br>
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.</p></div>

System Technical Architect and solution delivery for IoT Mobile Core (4G/5G Data, IMS, SMS)

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