project manager

project engineer

planning engineer

site engineer

product manager

platform engineer

Deeplight

<div>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.
We are seeking a Lakehouse Platform Engineer to serve as the lead architect and custodian of our enterprise data backbone. In this pivotal consultancy role, you will be responsible for the health, scalability, and evolution of our entire technology stack, ensuring that our Lakehouse architecture is not only reliable but optimized for high-performance AI and analytics. You will own the lifecycle of AWS Glue jobs, manage the intricacies of Apache Iceberg table registries, and operationalize industry-leading tools like OpenMetadata for governance and Soda Core for data quality. From designing robust Disaster Recovery (DR) scenarios to automating infrastructure via Terraform, your work will provide the foundation upon which our Data Factory squads build the future of intelligent enterprise systems.
As a consultant within our specialist firm, your technical prowess is matched by your ability to drive adoption. You will act as a bridge between platform engineering and business-critical operations, &quot;selling&quot; the value of self-service tooling and automated lineage to senior stakeholders. We are looking for a master problem-solver with 8+ years of experience&mdash;ideally within financial services or banking&mdash;who thrives in fast-paced, Agile environments. If you are passionate about decommissioning legacy technical debt while building state-of-the-art, automated data platforms that meet aggressive migration targets, you will find your home at DeepLight AI.
Your responsibilities as the AWS Lakehouse Platform Engineer:<ul>
<li>
Platform Management &amp; Optimization</li>
<li><ul><li>Manage and maintain Lakehouse components:</li>
<li><ul><li>Storage: S3 bucket configurations, lifecycle policies, storage optimization.</li>
<li>Compute: AWS Glue job management, optimization, DPU allocation.</li>
<li>Catalog: AWS Glue Data Catalog and Iceberg table registry.</li>
<li>Semantic Layer: Deploy and integrate with our semantic layer.</li>
<li>Governance: Deploy, configure, and upgrade OpenMetadata.</li>
<li>Quality: Maintain Soda Core infrastructure and integration.</li>
</ul></li><li>Apply Iceberg best practices for table optimization and maintenance.</li>
<li>Implement automated table maintenance processes.</li>
</ul></li><li>Self-Service &amp; Automation</li>
<li><ul><li>Deploy self-service tooling for Data Factory squads.</li>
<li>Implement automated lineage capture from Glue jobs.</li>
<li>Configure audit logging (CloudTrail, S3 access logs).</li>
</ul></li><li>Disaster Recovery &amp; Reliability</li>
<li><ul><li>Design and implement Disaster Recovery (DR) scenarios including failover, backup management, and runbooks.</li>
<li>Execute annual DR tests for the entire data landscape.</li>
<li>Ensure all critical platform components are monitored, with alerting and active follow-up.</li>
</ul></li><li>Migration &amp; Decommissioning</li>
<li><ul><li>Execute decommissioning roadmap.</li></ul></li>
<li>Collaboration</li>
<li><ul><li>Work closely with platform engineers and architects to ensure alignment on optimization and tooling.</li>
<li>Partner with operational teams for monitoring and alerting.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
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. 
 
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. 
 
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. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
You will have experience in: 
<ul>
<li>
data platform engineering or related roles, ideally a minimum of 8 years experience.
</li><li>managing Lakehouse platforms on AWS.</li>
<li>AWS services: S3, Glue, CloudTrail, Athena.</li>
<li>Apache Iceberg, OpenMetadata, and Soda Core.</li>
</ul>
You should also have knowledge of:<ul>
<li>
disaster recovery planning and execution.</li>
<li>infrastructure automation using Terraform and Git.</li>
<li>Kafka (MSK) and OpenSearch.</li>
<li>identifying ways to automate their work / repetitive tasks.</li>
<li>problem-solving and troubleshooting skills.</li>
<li>working cross-functionally and manage complex platform operations.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication skills.</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
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.
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.
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.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
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.
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.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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.</div>

AWS Lakehouse Platform Engineer

Keyrock

<div>Job title: Rust Engineer - Platform
About Keyrock
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks as well as digital asset management. Keyrock is looking to expand and establish itself as a full-service financial institution through both organic innovation and inorganic growth.
But we&rsquo;re more than a service provider. We&rsquo;re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
Mission statement
As a Platform Backend Engineer (Rust) at Keyrock, you will drive the development and maintenance of the backoffice and trading data platform systems at the core of our organisation. We are looking for a hands-on engineer who is experienced in building scalable, resilient, and high-performance systems and is eager to own the technical implementation of complex infrastructure. The ideal candidate thrives in fast-paced environments, actively collaborates with cross-functional teams, and applies a product-centric mindset to solve technical challenges that directly impact our trading and risk capabilities. 
Job description
Rust Development: Design, build, and maintain high-performance backend services and APIs using Rust, ensuring low latency and high availability for critical trading data platforms.
Strong systems engineering fundamentals: Concurrency, memory management, networking, serialization, and observability Solid understanding of performance tuning and profiling in real-world systems.
System Integration: Create seamless integrations between live trading operations (exchanges/DeFi) and backoffice systems, automating workflows to improve operational efficiency.
Cloud-Native Deployment: Deploy and manage services in a cloud-native environment, leveraging AWS, Kubernetes, and Terraform to scale infrastructure infrastructure-as-code.
DevOps &amp; Observability: Maintain GitOps-driven workflows, ensuring robust CI/CD pipelines and implementing deep system observability (logging, metrics, tracing) for rapid incident response.
Database Optimization: Optimize data storage and retrieval strategies (SQL/NoSQL), balancing query performance, cost efficiency, and data integrity in a high-volume financial environment.
Security &amp; Compliance: Engineer solutions with a &quot;Security-First&quot; mindset, ensuring strict adherence to compliance standards and secure handling of sensitive financial data.
Cross-Functional Collaboration: Partner with Product Managers, Risk teams, and other engineers to translate complex business requirements into reliable technical specifications and features.
Technical Excellence: Actively participate in code reviews, contribute to architectural discussions, and mentor fellow engineers to foster a culture of high code quality and innovation.
Continuous Improvement: Stay updated on emerging trends in the Rust ecosystem, cloud infrastructure, and blockchain technologies to continuously refine the platform&rsquo;s capabilities.
Background and experience<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent experience.</li><li>
Proven experience in building and maintaining data-intensive, large-scale, high-performance trading data platforms.</li><li>
Strong expertise in Rust (or C++), Python, and TypeScript for system development and automation in the financial services industry.</li><li>
Good understanding of data engineering principles, including data modeling, ETL pipelines, and stream processing.</li><li>
Experience with financial services data workflows, including trading, middle office, and back office operations.</li><li>
Extensive experience in cloud-native architectures, with proficiency in AWS</li><li>
Proficient in GitOps tools and methodologies for infrastructure automation and deployment.</li><li>
Strong background in DevSecFinOps, ensuring compliance, security, and cost efficiency across the development lifecycle.</li><li>
Hands-on experience with CI/CD pipelines, infrastructure as code (IaC), and monitoring tools.</li></ul>
Our recruitment philosophy
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who&rsquo;s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
Our offer<ul><li>
A competitive salary package</li><li>
Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely</li><li>
The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence</li></ul>
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
https://keyrock.com/careers/</div>

Rust Engineer - Platform Trading

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 We are building the region&rsquo;s first
 
 real estate operating ecosystem
 
 : a smart, scalable platform that brings together a high-performance property management system, verified listings, embedded finance, agent productivity tools, and AI-driven features that help real estate professionals grow their business.
 
 
 
 About The Team (Business Platform Experience)
 
 
 
 The
 
 Business Platform Experience (BPX)
 
 organization builds and operates the B2B ecosystem that powers our partners&rsquo; success:
 
 
 <ul>
 <li>
 B2B marketplace for real estate agencies, brokers, and agents
 </li>
 <li>
 Tools to create, manage, and promote listings on our consumer-facing products
 </li>
 <li>
 Deep integrations with external systems (CRMs, ERPs, partner platforms) via our Enterprise APIs
 </li>
 <li>
 Agent and brokerage productivity experiences, performance insights, and monetization flows
 
 
 </li>
 </ul>
 BPX is where business meets platform: we are the backbone that helps partners
 
 manage inventory, connect with consumers, and grow their revenue
 
 .
 
 
 
 Role Overview
 
 
 
 As a
 
 Principal Engineer
 
 in BPX, you are the
 
 technical authority
 
 for our B2B platform: the systems, APIs, and experiences that real estate agencies and agents rely on every day to run their business.
 
 
 You will:
 
 
 <ul>
 <li>
 Set the technical direction for core B2B domains (listings lifecycle, integrations, onboarding, billing, lead &amp; performance tools, etc.).
 </li>
 <li>
 Own the architecture of mission-critical, high-scale systems serving thousands of real estate professionals and powering millions of listings and consumer experiences.
 </li>
 <li>
 Drive the evolution of our Enterprise APIs and integrations that connect Property Finder with agency CRMs and the wider real estate ecosystem.
 </li>
 <li>
 Influence and align multiple teams and leaders across Engineering, Product, and Commercial to deliver durable, scalable solutions.
 
 
 </li>
 </ul>
 You are an individual contributor, but your impact is
 
 org-level
 
 : you lead through influence, clarity of thinking, and technical excellence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Technical Strategy &amp; Architecture for BPX
 </li>
 <li>
 Define and own the long-term technical vision for BPX&rsquo;s core domains:
 </li>
 <ul>
 <li>
 B2B listing management &amp; quality
 </li>
 <li>
 Agency &amp; agent account lifecycle
 </li>
 <li>
 Enterprise APIs for CRM and system integrations
 </li>
 <li>
 Partner onboarding, contracts, and monetization flows
 </li>
 <li>
 Agent productivity and performance tooling
 </li>
 </ul>
 <li>
 Design and evolve scalable, resilient, multi-tenant systems that support multiple markets, products, and business models across MENA.
 </li>
 <li>
 Ensure our Enterprise APIs are robust, well-designed, and a pleasure to integrate with: versioning strategy, backward compatibility, documentation standards, and observability.
 </li>
 <li>
 Proactively identify architectural risks (scalability limits, data model complexity, tight coupling between B2B and B2C systems, etc.) and define strategies to address them before they become constraints.
 </li>
 <li>
 Engineering Excellence &amp; Operational Health
 </li>
 <li>
 Champion engineering standards for BPX: code quality, testing, observability, security, and performance across multiple teams.
 </li>
 <li>
 Act as the escalation point for complex production issues in mission-critical flows (listings ingestion, CRM syncs, lead delivery, agency billing, etc.).
 </li>
 <li>
 Drive improvements in SLOs/SLAs, reliability, and incident response for B2B systems&mdash;ensuring that our partners can trust Property Finder for their daily operations.
 </li>
 <li>
 Introduce and scale platform capabilities (shared libraries, services, patterns) that make it easier and faster for teams to build consistent, reliable features.
 </li>
 <li>
 Leadership &amp; Mentorship
 </li>
 <li>
 Mentor Senior, Staff, and upcoming Principal-level Engineers, helping them grow in system design, architectural thinking, and strategic impact.
 </li>
 <li>
 Coach Engineering Managers on technical decision-making, trade-offs, and long-term platform thinking.
 </li>
 <li>
 Raise the bar in hiring by participating in interviews, bar-raising panels, and leveling discussions and by contributing to the evolution of our engineering career framework.
 </li>
 <li>
 Cross-Functional &amp; Cross-Org Impact
 </li>
 <li>
 Partner with Product, Commercial, and Operations leaders to shape roadmaps that balance innovation, partner needs, and technical sustainability.
 </li>
 <li>
 Translate ambiguous business and ecosystem problems into clear technical strategies and executable plans.
 </li>
 <li>
 Align multiple squads and workstreams across BPX (and beyond) on shared patterns for:
 </li>
 <ul>
 <li>
 Data models (agencies, agents, listings, contracts, packages)
 </li>
 <li>
 Integrations (Enterprise API, data sync, webhooks, event-driven flows)
 </li>
 <li>
 Cross-cutting concerns (auth, permissions, rate-limiting, auditability)
 </li>
 </ul>
 <li>
 Represent BPX in company-wide architectural forums, ensuring our B2B platform integrates cleanly with consumer experiences, data platforms, and AI/ML initiatives.
 </li>
 <li>
 Ecosystem &amp; Innovation
 </li>
 <li>
 Keep a sharp eye on the real estate and proptech ecosystem&mdash;CRMs, portals, aggregators, and tools&mdash;and identify opportunities to deepen our platform role.
 </li>
 <li>
 Partner with Data &amp; AI teams to embed intelligence into the BPX stack: smarter pricing, lead scoring, performance insights, agent coaching signals, etc.
 </li>
 <li>
 Contribute to the external engineering brand of Property Finder (e.g., talks, blogs, OSS contributions) where appropriate.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Substantial experience in software engineering, with a strong track record in large-scale platforms.
 </li>
 </ul>
 <li>
 Demonstrated leadership as a senior/principal IC driving architecture and technical strategy across multiple teams.
 </li>
 <li>
 Deep expertise in:
 </li>
 <ul>
 <li>
 Distributed systems and service-oriented architecture
 </li>
 <li>
 API design (REST/GraphQL), data modeling, and integration patterns
 </li>
 <li>
 Observability, reliability, and operational excellence for production systems
 </li>
 </ul>
 <li>
 Experience with integrations and partner ecosystems (e.g., CRMs, third-party APIs, event-driven systems, webhooks).
 </li>
 <li>
 Proven ability to navigate ambiguity, balance short-term delivery with long-term architecture, and align diverse stakeholders around sound technical decisions.
 </li>
 <li>
 Excellent communication skills&mdash;able to dive deep with engineers while also explaining complex trade-offs to business stakeholders.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in marketplaces, proptech, fintech, or similar B2B/B2C hybrid environments.
 </li>
 <li>
 Prior work on multi-market, multi-tenant platforms with configurable business rules, pricing, and workflows.
 </li>
 <li>
 Exposure to data platforms and ML-driven products, especially where insights are fed back into operational systems.
 </li>
 <li>
 Public speaking, open-source contributions, or thought leadership within the engineering community.
 
 
 </li>
 </ul>
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 
 
 </li>
 </ul>
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
</div>

Principal Software Engineer

ByteDance

Location: 
Dubai
 
Team: 
Technology
 
Employment Type: 
Regular
 
Job Code: 
A215694
 
Responsibilities
 
Team Introduction
 The mission of the CSS data team is to empower the Corporate Service System Business with data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of the Workplace Service System.
 
As a data engineer in the CSS data team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem.If you're looking for a challenging ground to push your limits, this is the team for you!
 
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
 
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
 
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
 
Online Assessment
 Candidates who pass resume screening will be invited to participate in ByteDance 's technical online assessment.
 
Responsibilities: 
<ul>
<li>Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).</li>
<li>Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.</li>
<li>Establish solid design and best engineering practice for engineers as well as non-technical people.</li>
</ul>
Qualifications
 
Minimum Qualification(s): 
<ul>
<li>Completing or have recently completed a Bachelor’s degree in in Software Development, Computer Science, Computer Engineering, or a related technical discipline.</li>
<li>Proficient in Java/Python, and have solid programming skills(e.g. algorithms and data structures).</li>
<li>Familiar with Big Data technologies (Hadoop, M/R, Hive, Spark, Flink etc.).</li>
<li>Good communication and teamwork skills to clearly communicate technical concepts with other teammates.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience with performing data analysis, data ingestion and data integration.</li>
<li>Experience with ETL(Extraction, Transformation & Loading) and architecting data systems.</li>
<li>Experience with schema design, data modeling and SQL queries.</li>
</ul>
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
 
Job Information
 
About Us
 
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
Why Join ByteDance
 
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
Diversity & Inclusion
 
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Data Engineer Graduate (Corporate Information System) - 2026 Start (BS/MS)

RAKBANK

<div>Company Description 
At RAKBANK, we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance. 
Job Description 
Role Purpose:
The AI Platform Owner is responsible for owning, building, scaling, and operating the enterprise AI platform for the bank. This role leads the technology side of AI enablement, ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are secure, scalable, cost-effective, and reusable across business and technology use cases.
The role acts as the single point of accountability for the AI platform across cloud and on-prem environments, balancing rapid innovation with operational stability, governance, and regulatory compliance.
Key Objectives<ul><li>
Establish a bank-wide AI platform that enables fast, safe, and scalable AI adoption</li><li>
Enable multiple AI use cases across business, operations, risk, compliance, and technology</li><li>
Manage AI run &amp; change with strong cost, performance, and reliability controls</li><li>
Continuously evolve the platform in line with fast-paced advancements in LLMs and AI tooling</li></ul>
Key Responsibilities
1. AI Platform Ownership &amp; Strategy<ul><li>
Own the end-to-end AI platform roadmap, architecture, and operating model</li><li>
Define the AI platform vision aligned to enterprise technology and business strategy</li><li>
Decide build vs buy vs partner for AI tooling, models, and platforms</li><li>
Ensure the platform supports current and future AI paradigms (GenAI, Agentic AI, AI-augmented development, AI-Ops)</li></ul>
2. LLM &amp; AI Technology Management<ul><li>
Own lifecycle management of LLMs and SLMs (open-source and commercial)</li><li>
Manage:<ul><li>
Model selection and evaluation</li><li>
Fine-tuning, prompt strategies, embeddings, and vector stores</li><li>
Inference optimization, latency, throughput, and reliability</li></ul></li><li>
Enable multi-model and multi-provider strategy (cloud, on-prem, hybrid)</li></ul>
3. Platform Engineering (Cloud &amp; On-Prem)<ul><li>
Lead deployment and operations of AI platforms across:<ul><li>
Public cloud</li><li>
Private cloud / on-prem infrastructure</li></ul></li><li>
Ensure:<ul><li>
High availability, resilience, and scalability</li><li>
Secure data handling and isolation</li><li>
Compliance with data residency and regulatory requirements</li></ul></li><li>
Integrate AI platform with:<ul><li>
Core banking and enterprise systems</li><li>
APIs, event platforms, data platforms, and digital channels</li></ul></li></ul>
4. AI Use Case Enablement<ul><li>
Work closely with business, operations, risk, compliance, and technology teams to:<ul><li>
Identify high-value AI use cases</li><li>
Prioritize and onboard use cases onto the platform</li><li>
Provide reusable AI services, APIs, and components</li></ul></li><li>
Enable rapid experimentation while maintaining enterprise controls</li><li>
Support AI use cases across:<ul><li>
Customer experience</li><li>
Operations &amp; automation</li><li>
Risk, compliance &amp; fraud</li><li>
Engineering productivity (AI-augmented development)</li></ul></li></ul>
5. Run &amp; Change Management<ul><li>
Own run operations of the AI platform:<ul><li>
Monitoring, performance, incidents, and SLAs</li><li>
Model drift, accuracy, and quality controls</li></ul></li><li>
Own change delivery:<ul><li>
Platform enhancements</li><li>
New model onboarding</li><li>
Capability upgrades</li></ul></li><li>
Establish clear ownership, escalation, and support models</li></ul>
6. Cost Management &amp; Optimization<ul><li>
Manage AI platform costs across:<ul><li>
Model usage (tokens, inference)</li><li>
Compute, storage, and networking</li><li>
Tooling and licensing</li></ul></li><li>
Define and enforce:<ul><li>
Cost visibility and chargeback/showback models</li><li>
Usage limits and optimization strategies</li></ul></li><li>
Balance innovation speed vs cost efficiency</li></ul>
7. Governance, Risk &amp; Compliance<ul><li>
Embed Responsible AI principles into the platform</li><li>
Ensure compliance with:<ul><li>
Model risk management</li><li>
Data privacy and security</li><li>
Regulatory and audit requirements</li></ul></li><li>
Implement:<ul><li>
Model explainability and auditability</li><li>
Logging, traceability, and controls</li></ul></li><li>
Partner closely with Risk, Compliance, Legal, and Security teams</li></ul>
8. Vendor &amp; Ecosystem Management<ul><li>
Manage relationships with:<ul><li>
Cloud providers</li><li>
AI vendors and open-source communities</li><li>
System integrators and partners</li></ul></li><li>
Stay current with rapid AI market evolution and assess impact to the bank</li><li>
Continuously evaluate emerging technologies and platforms</li></ul>
9. Leadership &amp; Collaboration<ul><li>
Lead and grow a high-performing AI platform engineering team</li><li>
Work in close partnership with:<ul><li>
Enterprise Architecture</li><li>
Platform Owners</li><li>
Data, Digital, Security, and Engineering teams</li></ul></li><li>
Act as the AI technology evangelist within the organization</li></ul>
Leadership &amp; Delivery<ul><li>
Proven experience owning enterprise-scale platforms</li><li>
Strong run + change ownership mindset</li><li>
Ability to operate in fast-changing, ambiguous environments</li><li>
Experience managing cost, performance, and reliability at scale</li></ul>
Business &amp; Stakeholder Skills<ul><li>
Strong ability to translate business needs into AI platform capabilities</li><li>
Comfortable engaging with senior stakeholders across business and technology</li><li>
Strong communication and decision-making skills</li></ul>
Preferred Experience<ul><li>
Experience in banking or regulated industries</li><li>
Exposure to AI governance, model risk, and regulatory frameworks</li><li>
Experience with agentic AI or autonomous workflows</li><li>
Background in developer platforms or internal product platforms</li></ul> 

Qualifications 
Minimum Requirements:
Technical Expertise<ul><li>
10+ years in platform, cloud, or enterprise engineering roles</li><li>
Strong hands-on experience with:<ul><li>
LLM-based platforms and AI tooling</li><li>
Cloud and/or on-prem AI deployments</li><li>
APIs, microservices, data platforms, and event-driven architectures</li></ul></li><li>
Deep understanding of:<ul><li>
LLM architectures, prompt engineering, embeddings, vector databases</li><li>
AI model lifecycle management and MLOps/LLMOps</li></ul></li></ul></div>

Platform Owner (AI Platform)

<div>
 
 At
 
 RAKBANK
 
 , we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance.
 
 
 
 Job Description
 
 
 
 
 Role Purpose:
 
 
 
 The
 
 AI Platform Owner
 
 is responsible for
 
 owning, building, scaling, and operating the enterprise AI platform
 
 for the bank. This role leads the
 
 technology side of AI enablement
 
 , ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are
 
 secure, scalable, cost-effective, and reusable
 
 across business and technology use cases.
 
 
 The role acts as the
 
 single point of accountability
 
 for the AI platform across
 
 cloud and on-prem environments
 
 , balancing
 
 rapid innovation
 
 with
 
 operational stability, governance, and regulatory compliance
 
 .
 
 
 
 Key Objectives
 
 
 <ul>
 <li>
 Establish a
 
 bank-wide AI platform
 
 that enables fast, safe, and scalable AI adoption
 </li>
 <li>
 Enable
 
 multiple AI use cases
 
 across business, operations, risk, compliance, and technology
 </li>
 <li>
 Manage
 
 AI run &amp; change
 
 with strong cost, performance, and reliability controls
 </li>
 <li>
 Continuously evolve the platform in line with
 
 fast-paced advancements in LLMs and AI tooling
 
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 
 
 1. AI Platform Ownership &amp; Strategy
 
 
 <ul>
 <li>
 Own the
 
 end-to-end AI platform roadmap
 
 , architecture, and operating model
 </li>
 <li>
 Define the
 
 AI platform vision
 
 aligned to enterprise technology and business strategy
 </li>
 <li>
 Decide
 
 build vs buy vs partner
 
 for AI tooling, models, and platforms
 </li>
 <li>
 Ensure the platform supports
 
 current and future AI paradigms
 
 (GenAI, Agentic AI, AI-augmented development, AI-Ops)
 </li>
 </ul>
 
 
 2. LLM &amp; AI Technology Management
 
 
 <ul>
 <li>
 Own lifecycle management of
 
 LLMs and SLMs
 
 (open-source and commercial)
 </li>
 <li>
 Manage:
 </li>
 <li>
 Model selection and evaluation
 </li>
 <li>
 Fine-tuning, prompt strategies, embeddings, and vector stores
 </li>
 <li>
 Inference optimization, latency, throughput, and reliability
 </li>
 <li>
 Enable
 
 multi-model and multi-provider strategy
 
 (cloud, on-prem, hybrid)
 </li>
 </ul>
 
 
 3. Platform Engineering (Cloud &amp; On-Prem)
 
 
 <ul>
 <li>
 Lead deployment and operations of AI platforms across:
 </li>
 <li>
 Public cloud
 </li>
 <li>
 Private cloud / on-prem infrastructure
 </li>
 <li>
 Ensure:
 </li>
 <li>
 High availability, resilience, and scalability
 </li>
 <li>
 Secure data handling and isolation
 </li>
 <li>
 Compliance with data residency and regulatory requirements
 </li>
 <li>
 Integrate AI platform with:
 </li>
 <li>
 Core banking and enterprise systems
 </li>
 <li>
 APIs, event platforms, data platforms, and digital channels
 </li>
 </ul>
 
 
 4. AI Use Case Enablement
 
 
 <ul>
 <li>
 Work closely with
 
 business, operations, risk, compliance, and technology teams
 
 to:
 </li>
 <li>
 Identify high-value AI use cases
 </li>
 <li>
 Prioritize and onboard use cases onto the platform
 </li>
 <li>
 Provide reusable AI services, APIs, and components
 </li>
 <li>
 Enable
 
 rapid experimentation
 
 while maintaining enterprise controls
 </li>
 <li>
 Support AI use cases across:
 </li>
 <li>
 Customer experience
 </li>
 <li>
 Operations &amp; automation
 </li>
 <li>
 Risk, compliance &amp; fraud
 </li>
 <li>
 Engineering productivity (AI-augmented development)
 </li>
 </ul>
 
 
 5. Run &amp; Change Management
 
 
 <ul>
 <li>
 Own
 
 run operations
 
 of the AI platform:
 </li>
 <li>
 Monitoring, performance, incidents, and SLAs
 </li>
 <li>
 Model drift, accuracy, and quality controls
 </li>
 <li>
 Own
 
 change delivery
 
 :
 </li>
 <li>
 Platform enhancements
 </li>
 <li>
 New model onboarding
 </li>
 <li>
 Capability upgrades
 </li>
 <li>
 Establish
 
 clear ownership, escalation, and support models
 
 </li>
 </ul>
 
 
 6. Cost Management &amp; Optimization
 
 
 <ul>
 <li>
 Manage
 
 AI platform costs
 
 across:
 </li>
 <li>
 Model usage (tokens, inference)
 </li>
 <li>
 Compute, storage, and networking
 </li>
 <li>
 Tooling and licensing
 </li>
 <li>
 Define and enforce:
 </li>
 <li>
 Cost visibility and chargeback/showback models
 </li>
 <li>
 Usage limits and optimization strategies
 </li>
 <li>
 Balance
 
 innovation speed vs cost efficiency
 
 </li>
 </ul>
 
 
 7. Governance, Risk &amp; Compliance
 
 
 <ul>
 <li>
 Embed
 
 Responsible AI
 
 principles into the platform
 </li>
 <li>
 Ensure compliance with:
 </li>
 <li>
 Model risk management
 </li>
 <li>
 Data privacy and security
 </li>
 <li>
 Regulatory and audit requirements
 </li>
 <li>
 Implement:
 </li>
 <li>
 Model explainability and auditability
 </li>
 <li>
 Logging, traceability, and controls
 </li>
 <li>
 Partner closely with
 
 Risk, Compliance, Legal, and Security teams
 
 </li>
 </ul>
 
 
 8. Vendor &amp; Ecosystem Management
 
 
 <ul>
 <li>
 Manage relationships with:
 </li>
 <li>
 Cloud providers
 </li>
 <li>
 AI vendors and open-source communities
 </li>
 <li>
 System integrators and partners
 </li>
 <li>
 Stay current with
 
 rapid AI market evolution
 
 and assess impact to the bank
 </li>
 <li>
 Continuously evaluate emerging technologies and platforms
 </li>
 </ul>
 
 
 9. Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Lead and grow a
 
 high-performing AI platform engineering team
 
 </li>
 <li>
 Work in close partnership with:
 </li>
 <li>
 Enterprise Architecture
 </li>
 <li>
 Platform Owners
 </li>
 <li>
 Data, Digital, Security, and Engineering teams
 </li>
 <li>
 Act as the
 
 AI technology evangelist
 
 within the organization
 </li>
 </ul>
 
 
 Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Proven experience owning
 
 enterprise-scale platforms
 
 </li>
 <li>
 Strong
 
 run + change
 
 ownership mindset
 </li>
 <li>
 Ability to operate in
 
 fast-changing, ambiguous environments
 
 </li>
 <li>
 Experience managing
 
 cost, performance, and reliability at scale
 
 </li>
 </ul>
 
 
 Business &amp; Stakeholder Skills
 
 
 <ul>
 <li>
 Strong ability to translate
 
 business needs into AI platform capabilities
 
 </li>
 <li>
 Comfortable engaging with
 
 senior stakeholders
 
 across business and technology
 </li>
 <li>
 Strong communication and decision-making skills
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in
 
 banking or regulated industries
 
 </li>
 <li>
 Exposure to
 
 AI governance, model risk, and regulatory frameworks
 
 </li>
 <li>
 Experience with
 
 agentic AI or autonomous workflows
 
 </li>
 <li>
 Background in
 
 developer platforms or internal product platforms
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 Minimum Requirements:
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 10+ years in
 
 platform, cloud, or enterprise engineering roles
 
 </li>
 <li>
 Strong hands-on experience with:
 </li>
 <li>
 LLM-based platforms and AI tooling
 </li>
 <li>
 Cloud and/or on-prem AI deployments
 </li>
 <li>
 APIs, microservices, data platforms, and event-driven architectures
 </li>
 <li>
 Deep understanding of:
 </li>
 <li>
 LLM architectures, prompt engineering, embeddings, vector databases
 </li>
 <li>
 AI model lifecycle management and MLOps/LLMOps
 </li>
 </ul>
 
 
 
 
 Email detailed Cv to absai.gamariel@rakbank.ae
 
</div>

Platform Owner-AI Platform

Areednow

<div>
 
 
 Company Description
 
 
 
 
 Areednow&nbsp;is a food technology company. We build high-performance software for the FMCG Industry and the Online Grocery Delivery Market.
 
 
 
 
 
 
 
 
 ﻿
 
 
 
 Role Description and Responsibilities
 
 
 
 We are seeking a&nbsp;Senior Software Engineer&nbsp;to lead the architecture and optimisation of our backend systems, with a primary focus on&nbsp;Edge Computing&nbsp;and serverless infrastructure. You will be responsible for designing scalable systems that ensure low latency and high reliability for our platform.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Edge Architecture:
 
 &nbsp;Architect, maintain, and optimise complex Edge Functions using&nbsp;TypeScript.
 </li>
 <li>
 
 Scalability:
 
 &nbsp;Design distributed backend systems capable of handling high concurrency and heavy data throughput.
 </li>
 <li>
 
 API Development:
 
 &nbsp;Build and standardise robust APIs to support our grocery delivery and FMCG applications.
 </li>
 <li>
 
 Performance Engineering:
 
 &nbsp;Identify bottlenecks and refactor code to minimise latency and maximise execution efficiency.
 </li>
 <li>
 
 Technical Leadership:
 
 &nbsp;drive architectural decisions and enforce best practices for code quality and system reliability.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 TypeScript:
 
 &nbsp;Expert-level proficiency in backend TypeScript development is mandatory.
 </li>
 <li>
 
 Backend Architecture:
 
 &nbsp;Proven experience designing scalable, distributed systems and managing high-load environments.
 </li>
 <li>
 
 Edge Computing:
 
 &nbsp;Hands-on experience with Edge runtimes (e.g., Supabase Edge Functions, Vercel Edge, AWS Lambda@Edge).
 </li>
 <li>
 
 API Design:
 
 &nbsp;Strong background in architecting and scaling RESTful APIs.
 </li>
 <li>
 
 Experience:
 
 &nbsp;Senior-level experience in software engineering, ideally within the Food Tech, Logistics, or E-commerce sectors.
 </li>
 </ul>
</div>

Senior Software Engineer

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