Tabby

Role Description Tabby builds financial products used by millions of users across the GCC. Our services run on large-scale cloud infrastructure and must meet strict requirements for reliability, security, and regulatory compliance. This internship is not educational by default. It is an engineering role with real responsibility. Key Responsibilities - Work on the runtime and development platforms that power all product teams. - Manage cloud infrastructure, Kubernetes platforms, CI/CD pipelines, observability, and security foundations. - Grow as infrastructure and platform engineers by being embedded into real DevOps teams. - Work with production systems and meet engineering standards from day one. Qualifications - Strong fundamentals in Linux and operating systems. - Understanding of basic networking concepts (TCP/IP, HTTP, DNS). - Basic understanding of cloud platforms and distributed systems. - Familiarity with containers and Kubernetes concepts. - Ability to read and understand infrastructure and service configurations. - Basic scripting or programming skills. - Experience with Git and standard development workflows. - Structured thinking and attention to reliability. - Open to constructive feedback. - English sufficient for documentation and team communication. - Hands-on experience with Kubernetes. - Experience with any public cloud (GCP, AWS, or Azure). - Familiarity with CI/CD systems. - Experience with infrastructure-as-code tools. - Basic understanding of observability and monitoring. - Interest in security, reliability, and platform engineering. - Expert-level knowledge of Linux, Kubernetes, or any specific cloud platform. - Prior professional DevOps, SRE, or platform engineering experience. - Mastery of all listed tools, IaC frameworks, or CI/CD systems. - Deep knowledge of distributed systems, networking internals, or production reliability practices. - Saudi nationals only. Requirements - Self-funded internship by Tabby. - Full-time level of engagement throughout the internship. - Flexibility for classes or exams can be aligned with the mentor in advance. Benefits - Paid internship. - Full integration into an engineering team. - Distributed engineering team across multiple countries. - Location flexible — candidates may be based outside KSA. - Office-first in Riyadh where possible. - Clear path to a junior DevOps or platform engineer role based on performance. - This internship is intentionally demanding and designed for candidates aiming for fast professional growth in DevOps and platform engineering.

Role Description Tabby builds financial products used by millions of users across the GCC. We work on high-load, security-critical systems with strict regulatory requirements. The Database Engineers group (DBA) is part of Infrastructure and keeps Tabby's transactional and analytical databases reliable, performant, and recoverable across payment flows, risk pipelines, marketplace services, and the data platform. This internship is not educational by default. It is an engineering role with real responsibility. Database Engineers at Tabby own the operational health of our primary data stores. The core stack is built around PostgreSQL, alongside analytical and distributed databases. The team works on: - Performance tuning - Schema and migration review - Replication and high availability - Backup and recovery - Capacity planning - Observability and incident response The internship is designed for strong early-career engineers who want to grow as database practitioners. Interns are embedded with the DBA group, work on real production tasks under senior review, and are expected to meet engineering standards from day one. Qualifications - Working knowledge of at least one programming or scripting language (Python, Go, or Bash) - Solid SQL skills: joins, aggregation, window functions, CTEs, subqueries - Understanding of relational database fundamentals: ACID, transaction isolation levels, indexes (B-tree, hash), normalization, primary and foreign keys - Conceptual understanding of how a query planner works and how to read an execution plan (EXPLAIN, EXPLAIN ANALYZE) - Familiarity with Linux command line and POSIX-like environments - Understanding of TCP/IP, DNS, and basic networking - Ability to read, understand, and modify existing codebases - Experience with Git and standard development workflows - Strong ethical mindset and discretion — production data is sensitive by default, non-disclosure outside the team is non-negotiable - Open to constructive feedback - English sufficient for documentation and team communication - Hands-on experience with PostgreSQL — even from personal projects, university coursework, or open-source contributions - Exposure to other data stores: ClickHouse, CockroachDB, Redis, MongoDB, Kafka - Understanding of replication concepts (logical vs physical, streaming, WAL, replication slots) - Familiarity with CDC patterns (Debezium, Flink, logical replication consumers) - Familiarity with connection poolers (PgBouncer or similar) - Familiarity with cloud-managed databases on GCP (CloudSQL, AlloyDB) or AWS (RDS, Aurora) - Awareness of Kubernetes-native database operators (CloudNativePG, Zalando Postgres Operator) - Exposure to Infrastructure-as-Code tooling (Terraform) - Familiarity with an observability stack (Datadog, Prometheus, Grafana, or similar) - Understanding of partitioning strategies and large-table maintenance - Awareness of regulatory frameworks relevant to fintech (PCI DSS, ISO 27001, SAMA) - Interest in database internals — storage layout, MVCC, vacuum, autovacuum tuning - CTFs, database challenges, or open-source contributions to database tooling - Prior professional DBA experience - Mastery of all listed databases and tooling - Ability to run independent performance audits on production systems - Deep internals expertise (planner internals, custom extensions, replication protocol details) - Existing certifications (PostgreSQL Associate / Professional, GCP Database Engineer, AWS Database Specialty) — welcome but not required - Saudi nationals only Requirements - Self-funded internship by Tabby - We welcome both current students and fresh grads - We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level. Benefits - Paid internship - Full integration into the Database Engineers group within Infrastructure - Distributed engineering team across multiple countries - Open to Saudi nationals (Saudi passport required); location flexible — candidates may be based outside KSA - Office-first in Riyadh where possible - Clear path to a junior Database Engineer role based on performance - This internship is intentionally demanding and designed for candidates aiming for fast professional growth in database engineering at a regulated fintech.

• Own the vision and roadmap for the policy development and testing tools, execution engine, data sources connector and content management interfaces • Run customer development with internal users (risk analysts, risk engineers, domain product teams) yourself - from interviews to validated problem statements • Do the full analysis cycle hands-on: requirements and business analysis, problem decomposition, solution options with trade-offs - leveraging the team and LLM tools where they help, including digging into the codebase • Drive the self-service target state and be responsible for the platform's key metrics: lead time for content delivery, self-service coverage, SLA, user CSAT, etc. • Prioritize one backlog across Risk B2C, Risk B2B, product streams - by quantified impact • Work daily with engineering on architecture trade-offs • Prototype hands-on, including with LLMs - validate ideas before consuming engineering time; design and automate internal processes • Own platform OKRs and answer for them at C-level

Role Description We are seeking a diligent and detail-oriented Compliance Operations Associate, based in Egypt, to support our Compliance team in upholding regulatory standards and internal policies for our UAE operations. This is a junior role, ideal for individuals looking to grow their career in compliance within the FinTech or financial services sector. The successful candidate will play a key role in: - Reviewing screening results (e.g., sanctions, PEPs, adverse media), escalating potential matches in line with internal procedures. - Conducting enhanced due diligence (EDD) on high-risk customers and merchants, ensuring all findings are well-documented and meet regulatory expectations. - Reviewing and verifying Know Your Business (KYB) documentation to ensure accuracy, completeness, and compliance with UAE regulatory standards. - Assisting in the monitoring and investigation of unusual or suspicious transactions, including documenting findings and escalating cases where appropriate. - Maintaining comprehensive notes and audit trails for all compliance reviews, investigations, and decisions. - Working closely with internal teams (e.g., onboarding, risk, legal) to resolve compliance issues and queries in a timely manner. - Helping ensure that all compliance records and systems are updated and maintained in accordance with internal policies. - Staying informed of relevant UAE AML/CFT regulations and industry developments. Qualifications - Bachelor’s degree in a relevant field (e.g., Law, Finance, Business, or related discipline). - 1–2 years’ experience in a compliance, KYC/KYB, or financial crime function (preferred but not essential). - Strong analytical skills and attention to detail. - Familiarity with AML, sanctions screening, KYC/KYB, and EDD processes. - Excellent written and verbal communication skills in English. - Ability to work independently and manage tasks effectively from a remote location. - High level of integrity and professionalism when handling confidential information. Benefits - Experience in a FinTech, payments, or financial services environment. - Understanding of UAE AML/CFT regulatory frameworks and compliance requirements. - Proficiency with compliance tools such as screening platforms, transaction monitoring systems, or case management tools.

Role Description Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company. This internship is not educational by default. It is an engineering-adjacent role with real production impact. The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling. The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks. Key Responsibilities - This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools. - Build AI agents and automations using internal no-code and low-code tooling. - Configure agent workflows, tools, and orchestration logic. - Integrate agents with internal systems via APIs and tools. - Participate in designing agent architectures and workflows. - Help test, evaluate, and iterate on agent behavior and quality. - Work with datasets and evaluation results to improve agent performance. - Document agent logic, workflows, and best practices. - Work closely with platform engineers, product managers, and internal users. Qualifications - Strong logical and systems thinking. - Ability to break down human workflows into structured steps. - Understanding of how web services, APIs, and tools interact. - Experience with no-code or low-code platforms. - Basic understanding of data formats (JSON), APIs, and webhooks. - Ability to reason about edge cases, failure modes, and correctness. - High level of ownership and responsibility. - Comfort with fast iteration and experimental environments. - English sufficient for documentation and team communication. - Experience with LLMs, AI agents, or automation. - Experience building internal tools or automations. - Experience with Python. - Education in data science, machine learning field. - Understanding of prompt design or agent orchestration concepts. - Familiarity with evaluation, testing, or quality metrics. - Curiosity about AI system behavior and limitations. - Expert-level knowledge of LLMs, agent frameworks, or prompt engineering. - Prior professional AI, automation, or platform engineering experience. - Mastery of all listed no-code platforms or LLM tooling. - Deep knowledge of ML internals, model training, or RAG architectures. Requirements - Saudi nationals only. - Self-funded internship by Tabby. - We welcome both current students and fresh grads. - We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level. Benefits - Paid internship. - Full integration into the automations building team. - Distributed engineering team across multiple countries. - Open to Saudi nationals (Saudi passport required); location flexible — candidates may be based outside KSA. - Office-first in Riyadh where possible. - Clear path to a junior AI automation, no-code engineer, or platform role based on performance. - This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.

Role Description Tabby builds financial products used by millions of users across the GCC. We work on high-load, security-critical backend systems with strict regulatory requirements. This internship is not educational by default. It is an engineering role with real responsibility. Backend engineers at Tabby work on the systems behind core financial products. This includes: - Distributed services - APIs - Data storage - Integrations with external providers - Internal platforms supporting multiple product teams The internship is designed for strong early-career engineers. Interns are embedded into real backend teams, work on production code, and are expected to meet engineering standards from day one. Qualifications - Strong fundamentals in computer science and backend development - Solid programming skills in Go or a strong base in another backend language with readiness to work in Go - Understanding of HTTP, APIs, and basic distributed system concepts - Understanding of how backend services interact with databases and other services - Ability to read, understand, and modify existing codebases - Experience with Git and standard development workflows - Open to constructive feedback - English sufficient for documentation and team communication - Hands-on experience with Go - Experience with SQL databases (PostgreSQL or similar) - Basic understanding of concurrency and parallelism - Familiarity with containers and basic infrastructure concepts - Experience with cloud platforms or Kubernetes - Experience writing tests for backend services - Interest in scalable and distributed backend systems - Expert-level knowledge of Go or other backend languages - Prior professional backend or distributed systems experience - Mastery of all listed tools, frameworks, or infrastructure - Deep knowledge of database internals, networking, or distributed systems theory - Saudi nationals only Requirements - Self-funded internship by Tabby - We welcome both current students and fresh grads - We expect a full-time level of engagement throughout the internship - The program is not part-time: interns should be ready to contribute at a full working-day pace - Flexibility for classes or exams can be aligned with the mentor in advance - Overall performance, ownership, and context involvement are expected at a full-time level Benefits - Paid internship - Full integration into an engineering team - Distributed engineering team across multiple countries - Open to Saudi nationals (Saudi passport required); location flexible — candidates may be based outside KSA - Office-first in Riyadh where possible - Clear path to a junior or middle role based on performance - This internship is intentionally demanding and designed for candidates aiming for fast professional growth in backend engineering

• Act as an analytical partner to the Head of Marketing and Performance Marketing leads, challenging plans and shaping data-backed channel mix and budget decisions, including evaluation of customer acquisition cost, customer spending forecast, and finding an optimal mix of marketing channels; • Own the mobile attribution framework across paid and organic channels, including setup, maintenance and quality control in tools like AppsFlyer, Adjust, etc. • Design, run and analyse experiments to measure incrementality, including holdout tests, geo experiments and conversion lift studies, and translate results into clear, actionable recommendations. • Generate hypothesis, conduct research and A/B tests, and present your findings clearly and compellingly to highlight the importance of your insights • Measure the impact of offline and upper-funnel campaigns (OOH, TV, radio, etc.) on app installs, sign-ups, branded search and other performance metrics using appropriate analytical approaches. • Support and monitor existing performance marketing metrics, identify areas for improvement, and develop new metrics that inform decision-making across the organization. • Develop data visualizations and reports that are informative and easily understood by business and product teams. • Own the necessary data flows in collaboration with the Data Engineering team, from defining requirements to validating data quality.

- Development of backend for AI agent platform and microservices around it - Participate in the architecture setup, in choosing technologies - Stay up to date with updates and frameworks around AI agent technologies, study and experiment. - Improve and optimize parts of the platform related to agent creation, quality evaluation, and performance under load. - Work closely with platform clients, take feedback into account, and help build a user-friendly product.

Role Description We’re looking for a Senior Backend Engineer to help us build an internal AI agent platform. You’ll be joining a very early-stage initiative to build an internal platform for an AI agent ecosystem. This is your chance to be a key player in shaping a transformative project from the ground up — one that will scale into a powerful platform impacting multiple areas of the business. You’ll contribute to the foundation of a game-changing solution that integrates AI technologies to drive automation and innovation across the company. You’ll work with cutting-edge technologies, including LLMs and agent frameworks, designing architectures at the intersection of large-scale services and AI, and helping integrate them deeply into core internal tools. You’ll work on high-impact projects in a high-growth environment, alongside a world-class remote engineering team spread across 20+ countries. Qualifications - 5+ years of backend engineering experience - At least 2 years working with Golang - At least 2 years working with Python - Experience with AI agent frameworks: Langchain, Langgraph, ADK (a plus) - Experience in building or integrating LLM-based features and agent-centric architectures (a plus) - ML experience: learning and evaluation of models, implementation of them in production (big plus) - Experience building scalable, distributed systems and working with high-load architectures - Solid understanding of backend tools and technologies: PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and a microservices architecture - Experience developing internal instruments, automations, CRM, and so on - A passion for writing clean, testable, and maintainable code - A proactive mindset and the ability to work independently - Strong communication skills in English (B2 level or higher) Requirements - Development of backend for AI agent platform and microservices around it - Participate in the architecture setup, in choosing technologies - Stay up to date with updates and frameworks around AI agent technologies, study and experiment - Improve and optimize parts of the platform related to agent creation, quality evaluation, and performance under load - Work closely with platform clients, take feedback into account, and help build a user-friendly product Benefits - Full-time B2B contract - Fully remote setup, work from anywhere in Europe - Up to 20% tax allowance - 22 paid leave days annually - Stock options (ESOP) in a fast-scaling, pre-IPO company - Flexi benefits you can use for wellness, travel, or learning - Work alongside a high-performing, international engineering team in a global fintech unicorn

• Help scale the systems behind Tabby’s core products • Work on high-impact projects in a high-growth environment • Collaborate alongside a world-class remote engineering team spread across 20+ countries