ai infrastructure engineer

p99soft

<div><div><b>Job Summary</b>:</div><div>
Manage and optimise AWS infrastructure (EC2, VPC, Route 53, NAT Gateway, Auto Scaling, Kubernetes, EKS) for generative AI solutions, ensuring scalable, secure deployments with Terraform, n8n, and tools like Docker.</div><div><b>
Key Requirements (8 Points)</b>:</div><ul><li>
Deploy LLMs on AWS Bedrock using boto3 for scalable inference.</li><li>
Manage SageMaker pipelines for LLM fine-tuning with EKS/ECS and Auto Scaling.</li><li>
Configure CI/CD with GitlabCI and Terraform.</li><li>
Set up RAG infrastructure with AWS OpenSearch and langchain in VPCs.</li><li>
Deploy AI agents (crewai/autogen) on AWS Lambda with n8n</li><li>
Orchestrate deployments with Docker on Amazon ECS/EKS using Kubernetes.</li><li>
Manage networking with Route 53 and NAT Gateway for secure access.</li><li>
Monitor infrastructure with Amazon CloudWatch and wandb.</li></ul><div><b>
Must-Have Skills</b>:</div><ul><li>
5+ years DevOps experience with AWS and AI workflows.</li><li>
Expertise in AWS Bedrock, SageMaker, EC2, VPC, Route 53, NAT Gateway, Auto Scaling, ECS/EKS, boto3.</li><li>
Proficiency in Terraform, Docker, Kubernetes, langchain, n8n workflows.</li><li>
Experience with CI/CD (CodePipeline/CodeBuild) and monitoring.</li></ul><div><b>
Preferred Skills</b>:</div><ul><li>
AWS certification (DevOps Engineer/Solutions Architect).</li><li>
Familiarity with llama-index, n8n templates</li></ul></div><div></div>

Sr DevOps Engineer - Gen AI

Andersen

<p><b>Andersen</b> is hiring an <b>AI Platform Engineer</b> to enhance a secure cloud-based platform by building scalable AI infrastructure, orchestration, and observability for reliable, intelligent performance.</p><p><b>The customer</b> is an international company delivering professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations. It operates in a fast-growing environment, focusing on scalability, security, and continuous improvement while developing digital platforms used by diverse clients worldwide.</p><p><b>The project</b> is focused on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics. It also includes building and maintaining scalable AI infrastructure, orchestration patterns, and observability to ensure reliable and intelligent platform performance.</p><p><b>Responsibilities: </b></p><ul><li>Implementing multi-agent orchestration and tool-calling patterns.</li><li>Building observability infrastructure (tracing, logging, cost tracking).</li><li>Establishing API gateway patterns and runtime consistency.</li><li>Designing failure handling, retry logic, and context routing.</li><li>Enforcing tool schema standards across teams.</li><li>Documenting and evangelizing platform patterns.</li></ul><p><b>Must-have: </b></p><ul><li>Experience as an AI Platform Engineer, LLM Infrastructure Engineer or in a similar role for 4+ years.</li><li>Solid experience working with LLM system architecture and infrastructure, including multi‑agent orchestration and tool‑calling.</li><li>Practical experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents).</li><li>Knowledge of major cloud platforms (Azure/AWS/GCP) and distributed systems services.</li><li>Experience with logging, metrics, and tracing tools: OpenTelemetry, Prometheus, Grafana, Elastic, Datadog.</li><li>Strong proficiency in Python or another commonly used ML/infrastructure language.</li><li>Good understanding of API design principles (REST, gRPC), JSON Schema, and OpenAPI specifications.</li><li>Hands‑on experience implementing agent orchestration patterns and tool invocation in high‑load AI environments.</li><li>Level of English &ndash; from Upper-Intermediate and above.</li></ul><p><b>Nice to have: </b></p><ul><li>Proven ability to build observability infrastructure, including distributed tracing, logging, metrics, and cost tracking.</li><li>Experience designing and implementing API gateway patterns: request routing, version control, unified responses, and runtime consistency.</li><li>Strong understanding of resilience mechanisms such as error handling, retry logic, fallback strategies, and context routing.</li><li>Experience establishing and enforcing tool schema standards across cross‑functional teams.</li><li>Ability to document technical solutions and promote architectural patterns across the organization.</li></ul><p><b>Reasons why this job would be interesting to you: </b></p><ul><li>Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson &amp; Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..</li><li>The opportunity to change the project and/or develop expertise in an interesting business domain.</li><li>Job conditions &ndash; you can work both fully remotely and from the office or can choose a hybrid variant.</li><li>Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.</li><li>The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities.</li><li>Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.</li><li>Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).</li><li>Certification compensation (AWS, PMP, etc).</li><li>Referral program.</li><li>English courses.</li><li>Private health insurance and compensation for sports activities.</li></ul><p><b>Join us! </b></p><p>Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy</p><p>https://people.andersenlab.com/</p><p>Job Type: Full-time</p><p>Pay: From AED12,000.00 per month</p><p>Work Location: Remote</p>

AI Platform Engineer

Qualcomm

<div>
 <strong>
  Company
  <br/>
  <br/>
 </strong>
 Qualcomm India Private Limited
 <br/>
 <br/>
 <strong>
  Job Area
  <br/>
  <br/>
 </strong>
 Engineering Group, Engineering Group &gt; Software Test Engineering
 <br/>
 <br/>
 <strong>
  General Summary
  <br/>
  <br/>
 </strong>
 Site Reliability Engineer - AI Infrastructure
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Site Reliability Engineering (SRE) is a specialized engineering discipline that combines software development and systems engineering to build and maintain large-scale, highly reliable production systems. At Qualcomm, our SRE team plays a critical role in ensuring our AI infrastructure services deliver maximum reliability, performance, and uptime while enabling rapid innovation and deployment of cutting-edge AI solutions.
 <br/>
 <br/>
 As an SRE in our AI Infrastructure team, you will be at the forefront of deploying and managing cloud-based AI inference systems. You'll work with state-of-the-art hardware accelerators and container orchestration platforms to deliver high-performance, scalable AI services. This role demands a unique blend of strong software engineering skills, particularly in Python, deep systems knowledge, and expertise in modern cloud-native technologies.
 <br/>
 <br/>
 Our SRE culture emphasizes automation, proactive problem-solving, triaging activities, and continuous improvement. We value intellectual curiosity, collaboration, and a systematic approach to tackling complex distributed systems challenges.
 <br/>
 <br/>
 You'll work with a diverse team of engineers who bring varied backgrounds and perspectives to solve some of the most interesting problems in AI infrastructure.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain large-scale Kubernetes clusters optimized for AI inference workloads, with focus on performance, reliability, and scalability across cloud environments
  </li>
  <li>
   Deploy and manage containerized AI services using Docker, Kubernetes, and KServe (or similar ML serving platforms), ensuring high availability and optimal resource utilization
  </li>
  <li>
   Write production-quality Python code to build automation tools, frameworks, and infrastructure management solutions that eliminate manual processes and improve operational e iciency
  </li>
  <li>
   Lead triaging e orts for complex production incidents, performing deep-dive analysis to identify root causes and implement permanent fixes
  </li>
  <li>
   Debug sophisticated deployment scenarios at multiple levels - from application layer through container orchestration to Linux OS and hardware interfaces
  </li>
  <li>
   Support the full lifecycle of AI inference services - from design and capacity planning through deployment, operation, optimization, and continuous refinement
  </li>
  <li>
   Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, Ansible, or similar technologies to ensure reproducible and version-controlled infrastructure
  </li>
  <li>
   Collaborate with ML engineers, software developers, and infrastructure teams to optimize AI workload deployment and performance
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Need To See
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
  </li>
  <li>
   1+ years of experience in Site Reliability Engineering, DevOps, Systems Engineering, or Software Development with focus on production systems
  </li>
  <li>
   Certifications in Kubernetes (CKA, CKAD), cloud platforms (AWS/Azure/GCP), or related technologies will be an added advantage.
  </li>
  <li>
   Strong proficiency in Python programming with demonstrated ability to write clean, maintainable, and e icient code for automation and tooling
  </li>
  <li>
   Deep expertise in Linux/Unix systems administration, including kernel concepts, system calls, networking stack, storage systems, and performance tuning
  </li>
  <li>
   Hands-on experience with Kubernetes in production environments, including cluster management, workload orchestration, networking (CNI), storage (CSI), and troubleshooting
  </li>
  <li>
   Solid understanding of containerization technologies (Docker, containerd) and container orchestration patterns
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, GCP, or private cloud) and cloud-native architectures
  </li>
  <li>
   Proven track record of triaging and resolving complex production issues under pressure, with strong analytical and debugging skills
  </li>
  <li>
   Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, or similar platforms
  </li>
  <li>
   Strong understanding of networking concepts including TCP/IP, DNS, load balancing, and service mesh architectures
  </li>
  <li>
   Excellent problem-solving abilities with systematic approach to root cause analysis
  </li>
  <li>
   Strong communication skills with ability to explain technical concepts to both technical and non-technical audiences
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ways To Stand Out From The Crowd
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience deploying and managing AI/ML inference systems or model serving platforms (KServe, TorchServe, TensorFlow Serving, Triton Inference Server)
  </li>
  <li>
   Knowledge of AI hardware accelerators (GPUs, TPUs, or specialized AI chips) and their integration in cloud environments
  </li>
  <li>
   Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or ONNX
  </li>
  <li>
   Knowledge of security best practices for containerized environments and cloud infrastructure
  </li>
  <li>
   Contributions to open-source projects related to Kubernetes, cloud-native technologies, or SRE tooling
  </li>
  <li>
   Experience with capacity planning and performance optimization for high-throughput systems
  </li>
  <li>
   Background in implementing and maintaining disaster recovery and business continuity solutions
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Automation-First Mindset: Passion for eliminating repetitive manual work through intelligent automation
  </li>
  <li>
   Systems Thinking: Ability to understand how complex distributed systems interact and impact each other
  </li>
  <li>
   Ownership and Accountability: Taking end-to-end responsibility for services and their
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 reliability
 <br/>
 <br/>
 <ul>
  <li>
   Continuous Learning: Growth mindset with eagerness to learn new technologies and methodologies
  </li>
  <li>
   Collaboration: Ability to work e ectively in global, cross-functional teams
  </li>
  <li>
   Resilience Under Pressure: Maintaining composure and e ectiveness during critical incidents
  </li>
  <li>
   Attention to Detail: Thoroughness in implementation, testing, and documentation
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We O Er
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunity to work on cutting-edge AI infrastructure at scale
  </li>
  <li>
   Collaborative environment with world-class engineers
  </li>
  <li>
   Continuous learning and professional development opportunities
  </li>
  <li>
   Exposure to latest technologies in cloud computing, AI/ML, and distributed systems
  </li>
  <li>
   Competitive compensation and benefits package
  </li>
  <li>
   Qualcomm is an equal opportunity employer committed to diversity and inclusion in the workplace.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Applicants
 </strong>
 : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 <br/>
 <br/>
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
The Cloud Ops Engineering Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank&rsquo;s AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.</p><p>
As the Cloud Ops Engineering Lead, your responsibilities will include:</p><p></p><ul><li>
Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions.</li><li>
Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions.</li><li>
Leading &quot;Infrastructure as Code&quot; (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency.</li><li>
Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy.</li><li>
Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing.</li><li>
Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools.</li><li>
Organizing and supervising team activities, ensuring targets are met in line with ADCB&rsquo;s policies and continuous improvement initiatives.</li><li>
Supporting, Coaching and Mentoring more junior members of the team, when required</li><li>
Additional responsibilities on occasion, on management request</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.<br>
</i><br>
</p><p><i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br>
</i><br>
</p><p><i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br>
</i><br>
</p><p><i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.<br>
</i><br>
</p><p><i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><b><br>
Requirements</b><p><b><br>
What we need from you:</b></p><p></p><ul><li>
Minimum of 5 years in designing and deploying AI/ML solutions on Azure.</li><li>
Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field.</li><li>
Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred.</li><li>
Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance).</li><li>
Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints.</li><li>
Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps.</li><li>
Advanced expertise in Terraform for automating complex cloud architectures.</li><li>
Strong grasp of secure cloud networking and secret management (Azure Key Vault).</li><li>
Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark.</li></ul><p></p><p><b>
What we'd like from you:</b></p><p></p><ul><li>
Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios.</li><li>
Ability to optimize cloud spend while maintaining high availability and performance.</li><li>
Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview.</li><li>
Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads.</li></ul><p></p><b><br>
Benefits</b><p><b><br>
Benefits &amp; Growth Opportunities:</b></p><ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul><p></p><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p><p>
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</p><p>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</p><p>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</p></div><p></p>

Cloud Ops Engineering Lead

Sellou

<div>
 About the Job
 <p>
  <br/>
 </p>
 <p>
  We are looking for a&nbsp;
  <strong>
   Senior Software Engineer
  </strong>
  &nbsp;to join our backend team. The ideal candidate is proficient in&nbsp;
  <strong>
   TypeScript
  </strong>
  , understands&nbsp;
  <strong>
   AWS
  </strong>
  , and possesses a deep technical curiosity regarding AI backend infrastructure&mdash;from the evolution of MCPs to modern prompt engineering.
 </p>
 <p>
  We need someone with a deep understanding of the&nbsp;
  <strong>
   OpenClaw
  </strong>
  &nbsp;architecture.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You should be adept at navigating complex structural challenges, particularly regarding how systems handle memory and persistent storage.
  <strong>
   We want a candidate passionate about OpenClaw is interested in evolving its capabilities.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 Role &amp; Responsibilities
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Architect Backend Systems:
   </strong>
   &nbsp;Design and maintain robust, scalable, cloud-native backend services using TypeScript.
  </li>
  <li>
   <strong>
    OpenClaw Optimization:
   </strong>
   &nbsp;Dive deep into the OpenClaw framework to resolve structural bottlenecks and optimize critical components like&nbsp;
   <strong>
    heartbeats
   </strong>
   .
  </li>
  <li>
   <strong>
    Memory Management:
   </strong>
   &nbsp;Lead the transition of key data paths from traditional storage to&nbsp;
   <strong>
    persistent memory
   </strong>
   &nbsp;to drive performance gains.
  </li>
  <li>
   <strong>
    Legacy Analysis:
   </strong>
   &nbsp;Apply lessons learned from the failure of&nbsp;
   <strong>
    MCPs
   </strong>
   &nbsp;(Master Control Programs) to ensure our current architecture avoids historical pitfalls.
  </li>
  <li>
   <strong>
    Cloud Evolution:
   </strong>
   &nbsp;Leverage AWS to build and maintain infrastructure that supports high-concurrency AI workloads.
  </li>
  <li>
   <strong>
    AI Integration:
   </strong>
   &nbsp;Experiment with and self-host AI tools to optimize internal development workflows and system performance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 Qualifications
 <p>
  <br/>
 </p>
 <p>
  We value technical curiosity and a "builder" mindset over a specific checklist of years, but ideally, you bring the following:
 </p>
 <ul>
  <li>
   <strong>
    Deep Backend Expertise:
   </strong>
   &nbsp;Proven experience building high-performance distributed systems in a cloud environment (Node.js/TypeScript preferred).
  </li>
  <li>
   <strong>
    OpenClaw Mastery:
   </strong>
   &nbsp;
   <strong>
    Significant experience with OpenClaw, specifically regarding its memory management and structural architecture.
   </strong>
  </li>
  <li>
   <strong>
    Historical Context:
   </strong>
   &nbsp;A strong understanding of the evolution of MCPs, why they failed, and how to apply those lessons to modern systems.
  </li>
  <li>
   <strong>
    Systems Optimization:
   </strong>
   &nbsp;Experience optimizing low-latency components and moving data across the storage hierarchy (Storage &rarr; Persistent Memory).
  </li>
  <li>
   <strong>
    Cloud Proficiency:
   </strong>
   &nbsp;Advanced knowledge of&nbsp;
   <strong>
    AWS
   </strong>
   &nbsp;(EC2, S3, RDS, Lambda) or a demonstrated ability to master complex cloud stacks rapidly.
  </li>
  <li>
   <strong>
    AI/LLM Curiosity:
   </strong>
   &nbsp;A track record of experimenting with AI tools, such as self-hosting local models or using AI to automate system optimizations.
  </li>
  <li>
   <strong>
    Problem Solver:
   </strong>
   &nbsp;A "tinkerer" spirit&mdash;someone who runs a home lab or contributes to open-source projects in their spare time.
  </li>
 </ul>
</div>


Full Stack Developer - OpenClaw

Fanatics

<div><p><b>Overview</b></p>
<p>
As <b>Software Engineer II</b> at Fanatics Betting &amp; Gaming (FBG) with a focus on AI and Machine Learning, you will play a crucial role in our team's ambitious initiative designed to leverage AI and data-driven systems to transform customer operations into a market differentiator. You'll architect and enhance sophisticated data infrastructure and pipelines that fuel AI-driven insights, real-time conversational analytics, predictive troubleshooting, and contribute to the development of intuitive UI screens and tools that empower customer success teams. You will be collaborating closely with data scientists, ML engineers, and cross-functional teams, and your work will significantly impact operational efficiency, customer engagement, and innovation within FBG.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Architect, build, and manage robust data pipelines and infrastructure that support large-scale AI and machine learning initiatives.</li>
<li>Develop and optimize integrations between core AI services, including AWS Bedrock, LLMs, and internal platforms (Salesforce, Tableau, Slack) for enhanced operational performance.</li>
<li>Collaborate with applied scientists and ML engineers to refine model deployments, feature engineering, and ensure seamless operationalization of predictive and conversational AI solutions.</li>
<li>Implement advanced data processing and real-time analytics workflows for conversational intelligence, sentiment analysis, and predictive troubleshooting.</li>
<li>Ensure high-quality data management, emphasizing security, compliance, data governance, and maintainability within AI-driven environments.</li>
<li>Drive tooling and infrastructure solutions that facilitate efficient testing, debugging, monitoring, and continuous improvement of AI applications.</li>
<li>Establish comprehensive observability frameworks (logs, metrics, alerts) to maintain system reliability, performance, and operational insights.</li>
<li>Participate actively in technical discussions, code reviews, and strategic planning to align AI infrastructure development with business goals.</li>
Proto-type and develop intuitive, user-friendly UI screens and dashboards that enable customer success teams to leverage AI-driven insights effectively.<br>
<li>
</li></ul><p><b>Required Qualifications</b></p>
<ul>
<li>3 -7 years of professional experience focused on data engineering, specifically supporting AI, ML, or NLP-driven systems.</li>
<li>Deep expertise in cloud technologies (AWS highly preferred), including hands-on experience with AWS Bedrock, Redshift, MongoDB, and S3.</li>
<li>Proficiency in Java, Sprintboot, and experience with orchestration tools (Airflow, Prefect) for managing complex AI-driven workflows.</li>
<li>Demonstrated experience integrating and operationalizing Large Language Models (LLMs) and machine learning systems within production environments.</li>
<li>Strong understanding of microservices, RESTful API development, and real-time data streaming (Kafka, Kinesis).</li>
<li>Robust experience with observability tools and CI/CD pipelines, ensuring the reliability and continuous deployment of AI services.</li>
Exceptional problem-solving abilities, comfortable navigating ambiguity, and adept at collaborating across technical and business-focused teams.<br>
<li>
</li></ul><p><b>Preferred Qualifications</b></p>
<ul>
<li>Extensive experience specifically with AWS Bedrock or equivalent managed AI services.</li>
<li>Proven track record in building real-time AI analytics systems, predictive troubleshooting tools, and advanced NLP-driven applications.</li>
<li>Experience working with Salesforce or other related products or a firm understanding of customer success workflows.</li>
<li>Background in customer-centric operations, including AI-driven customer service solutions, chatbots, and contact center technologies.</li>
<li>Familiarity with sentiment analysis, conversational analytics, and predictive modeling in dynamic, consumer-facing environments.</li>
<li>Passionate about AI trends, data engineering best practices, and their practical application in high-impact industries such as gaming, sports betting, or customer engagement platforms.</li>
<li>Experience building front-end applications using modern frameworks (React, Angular, Vue) and familiarity with UI/UX design principles.</li>
</ul>
<p><i>Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply!</i></p><br>
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<div><div><div><div><div><b><i>Salary Range:</i></b><i> $137,750 - $181, 250 USD per year</i>
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<i>The base salary for this role is based on job-related knowledge, skills, and experience and may vary depending on the successful candidate&rsquo;s geographic location. For information about our benefits, please visit </i><i>https://benefitsatfanatics.com/</i>
</div><div></div><div>Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE&mdash;a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.<br>
</div></div></div></div></div></div><div></div><p>Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.</p><div>
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting &amp; Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.</div></div>

Software Engineer II

General Dynamics Mission Systems

<div>Basic Qualifications :
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Education Requirements:</b></div><div>
Bachelor&rsquo;s degree in Computer Science, a related field or equivalent experience is required plus a minimum of 8 years of relevant experience; or Master's degree plus 6 years of relevant experience.
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<b>Clearance Requirements:</b><br>
Department of Defense TS/SCI with Polygraph security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.</div><br>
Responsibilities for this Position:
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Put your engineering talent to the ultimate test. At General Dynamics Mission Systems, we create the technologies, products and services that help our service members, intelligence analysts and first responders keep our nation safe. The work we do is so advanced our teams often redefine what&rsquo;s possible for the world. If you want to be a leader with the company that delivers smart solutions for our nation&rsquo;s challenges, this is your opportunity.
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We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers&rsquo; missions in cyber, RF, undersea, interstellar and everything in between.</div><div></div><div><br>
We are seeking a skilled AI DevOps System Administrator to build, manage, and optimize the infrastructure supporting our Artificial Intelligence and Machine Learning initiatives in a classified environment. The ideal candidate will be responsible for maintaining the CI/CD pipeline for ML models, managing GPU resources, and ensuring the stability, scalability, and security of the AI development and deployment environment. This role requires close collaboration with data scientists and ML engineers to streamline workflows from model development to production.</div><div><b>
Key Responsibilities:</b></div><ul><li>
Design, implement, and maintain scalable and robust infrastructure for AI/ML model training and inference.</li><li>
Develop and manage CI/CD pipelines for automated building, testing, and deployment of AI applications and machine learning models.</li><li>
Administer and optimize Linux-based systems and virtualized environments.</li><li>
Manage containerization and orchestration platforms (e.g., Docker, Kubernetes) to deploy and scale ML services.</li><li>
Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools like Ansible or Terraform.</li><li>
Manage and allocate GPU resources efficiently for model training and other high-performance computing tasks.</li><li>
Implement and maintain monitoring, logging, and alerting systems to ensure platform health and performance.</li><li>
Collaborate with development teams to support their infrastructure needs and troubleshoot issues.</li></ul><div><br>
As a seasoned leader, you&rsquo;ll be involved with our client's decision-making process by serving as a front-line interface to users with technical issues and conducting systems analysis and development to keep systems current with changing technologies. Your duties may include installing new software, troubleshooting, granting permissions to applications and training users. You&rsquo;ll also be responsible for the day-to-day support of server services by performing server administration for physical and virtual server operating systems and configuring, maintaining and troubleshooting of physical and virtual hardware and network related interfaces on servers. We&rsquo;ll rely on you to perform, maintain, troubleshoot and conduct a complete analysis of alerts; create scripts to automate repetitive processes; and work with customers to identify, isolate, and resolve problems with servers that are affecting other services.<br>
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</div><h4 class="jobSectionHeader"><b>What you&rsquo;ll experience:</b></h4><ul><li>
Technologies that aren&rsquo;t just top-notch, they&rsquo;re often top-secret</li><li>
A team of bold thinkers committed to exploring what&rsquo;s next</li><li>
Opportunities to gain new knowledge - as it&rsquo;s discovered</li></ul><h4 class="jobSectionHeader"><b>
What you bring to the table:</b></h4><ul><li>
A Bachelor&rsquo;s degree in Computer Science, a related field or equivalent experience plus a minimum of 8 years of relevant experience; or Master's degree plus 6 years of relevant experience</li><li>
Advanced understanding of server based operating systems</li><li>
Strong Linux/Container/AI Skills</li><li>
Subject matter expert (SME) with the ability to mentor others on administrating the server environment</li><li>
Enhanced troubleshooting skills within the server OS as well as both networking and storage technologies</li><li>
Hands-on experience developing, deploying and supporting large-scale enterprise server solutions</li></ul><h4 class="jobSectionHeader"><b>
What sets you apart:</b></h4><ul><li>
Team player who thrives in collaborative environments and revels in team success</li><li>
Broad understanding of the interrelationships within the IT environment with focus on server and services</li><li>
Senior level knowledge of physical and virtual server support</li><li>
Senior level knowledge of access, permissions and security that gives the clients the access to the data they need to perform their daily activities</li></ul><div></div><div><br>
#CJ3</div>
Salary Note: This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range: USD $126,862.00 - USD $137,269.00 /Yr. Company Overview:
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General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!</div><div><br>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div></div>

Dev Ops System Administrator

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