Falahly is an AI-powered job matching platform for the MENA (Middle East and North Africa) region. It uses vector embeddings and skill ontology matching to connect job seekers with relevant positions in UAE, Saudi Arabia, Egypt, Qatar, Kuwait, Bahrain, and beyond.

How does Falahly's AI job matching work?

Falahly analyzes your CV using AI to extract skills, experience level, and career trajectory. It then matches your profile against 50,000+ active job listings using semantic vector similarity and an ontology-aware skill matching system — going beyond keyword matching to understand what you actually know.

What countries does Falahly cover?

Falahly covers the full MENA region including UAE (Dubai, Abu Dhabi), Saudi Arabia (Riyadh, Jeddah), Egypt (Cairo), Qatar (Doha), Kuwait, Bahrain, Jordan, Oman, Lebanon, Morocco, and Tunisia.

Is Falahly free for job seekers?

Yes, Falahly is free for job seekers. You can upload your CV, get AI-powered job matches, and apply to positions without any cost. Premium features like in-depth skill gap analysis and CV optimization insights are available as optional upgrades.

How do I post a job on Falahly?

Employers can post jobs and access Falahly's candidate database through the Employer portal at https://falahly.com/employers. Contact us at support@falahly.com for enterprise plans and bulk posting options.

How do I apply for the Application Solution Architect job at Aptivamena Tech?

Click the Apply Now button on this page to apply for the Application Solution Architect position at Aptivamena Tech. You will be redirected to the original job listing to complete your application.

Where is the Application Solution Architect position located?

This Application Solution Architect role is based in Cairo, Egypt.

Application Solution Architect

🏢 Aptivamena Tech

📍 Cairo, EgyptFull-timeOn-site

📅 Posted: 4w ago🔄 Updated: 4w ago

CV%

✨ AI Summary

We are seeking an experienced Application Solution Architect to own the end-to-end solution architecture of the Daitics AI CDP, a sovereign, on-prem, telco-native Customer Data Platform. This role involves designing and maintaining a streaming architecture deployed on self-managed infrastructure, processing high volumes of events and delivering unified customer profiles. The architect will be responsible for the architecture across multiple planes and layers, ensuring architectural principles are upheld and translated into actionable designs for engineering teams. Key responsibilities include architecting for low-latency hot paths, designing Kafka topologies, managing schema governance, implementing lakehouse formats, and architecting identity resolution and data governance solutions.

Required Skills

Information Technology

○Software Engineering○Data Engineering & Analytics○Solution Architecture○Distributed Systems○IT Infrastructure○Kubernetes○Apache○Kafka○AI Governance○Object Storage○Redis○Data Governance○Encryption○DevOps○SLA Management○Spring Boot○Java○PostgreSQL○Orchestration○Observability○OpenTelemetry○Prometheus○Grafana○Generative AI○Claude○Data Platforms

Other

○platform architecture○streaming architecture○Helm○DataStream API○Flink SQL○keyed state○RocksDB○broadcast state○Async I/O○checkpointing○savepointing○Avro○schema registry○lakehouse○in-memory caches○Hazelcast○identity resolution○consent enforcement○tokenization○lineage tracking○impact analysis○multi-tenant isolation○enterprise IdP federation○OIDC○Keycloak○ABAC○NetworkPolicies○service-mesh mTLS○failure domains○SLOs○RPO○RTO○replay○backfill○Temporal○Argo Workflows○distributed tracing○Codex

Science & Research

○Optimization

Operations, Logistics & Supply Chain

○Purchasing

Soft Skills & Professional Competencies

○Decision Making

Finance, Legal & Governance

○Bank Reconciliation

Requirements

12+ years in software and data engineering, with at least 5 years owning solution or platform architecture for large-scale distributed systemsDemonstrated ownership of end-to-end architecture for a streaming data platform on self-managed infrastructure (on-prem or private cloud) - topology, state placement, failure domains, cutover and capacityDeep, hands-on architectural command of Apache Flink as a stateful streaming runtime - DataStream and SQL, keyed state on RocksDB, broadcast state, Async I/O, checkpoint and savepoint discipline (core requirement)Proven ability to design two-tier latency architectures: a millisecond-level hot path against a minute-level durable cold path with an explicit end-to-end latency budgetExperience designing Kafka topologies for multi-tenant platforms - topic taxonomy, partition-key selection and sizing, compacted control streams, retention classes and naming conventionsExperience architecting schema governance across producers and consumers - Avro or equivalent through a schema registry, compatibility modes and coordinated promotion of breaking changesHands-on architecture experience with lakehouse table formats (Apache Paimon, Iceberg, Delta Lake or Hudi) on S3-compatible object storage - primary-key and LSM table design, partitioning, compaction and snapshot expiryExperience with distributed in-memory caches (Apache Ignite, Hazelcast, Redis or similar) - partitioned versus replicated tables, affinity colocation, thin-client access and cross-consumer invalidationAbility to define and enforce a state-placement decision framework: broadcast state versus keyed state versus external cache versus first-seen loadExperience architecting identity resolution at scale - deterministic and probabilistic matching, identity graph modeling, effective-dated B2B relationships, merge and split workflows and anonymous-to-known stitchingArchitecture experience with consent enforcement and data governance - configurable enforcement modes, data usage labeling, policy distribution to the runtime and designs that avoid a synchronous service call per eventExperience architecting tokenization, hashing, masking and encryption for sensitive identifiers - key versioning and rotation (HashiCorp Vault Transit or equivalent) and audited just-in-time detokenizationExperience designing end-to-end lineage and edit-time impact analysis, versioned artifact activation and cutover across engine boundaries with grace windows and rollbackExperience designing multi-tenant isolation on Kubernetes, enterprise IdP federation (OIDC, Keycloak or equivalent), ABAC, NetworkPolicies, service-mesh mTLS and secrets managementExperience defining failure domains, SLOs, RPO and RTO targets for streaming platforms, and designing replay, backfill and reconciliation paths that do not re-trigger external actionsPractical experience with Spring Boot on Java for control-plane microservices, PostgreSQL as a definition store, and workflow orchestration (Temporal, Argo Workflows or equivalent)Experience with observability stacks (OpenTelemetry, Prometheus, Grafana, distributed tracing); telco experience with TM Forum SID and TMF620 is a strong advantageFamiliarity using AI tools for design, development and debugging (Claude, Cursor, Codex)

Description

Own the end-to-end solution architecture of the Daitics AI CDP: a sovereign, on-prem, telco-native Customer Data Platform built on a streaming architecture, deployed on infrastructure we run ourselves (Kubernetes, Helm), not managed cloud services. The platform processes hundreds of thousands of events per second across thirty or more source systems and delivers unified customer profiles for B2C persons and B2B organizations, accounts, sites, lines, devices and contacts. You will own the architecture across the five planes (Authoring, Control, Data, Activation, Observability) and the five layers (atomic events, tile primitives, trait values, signal filters, signal events), hold the line on architectural principles across engine boundaries, and translate them into designs engineering teams can build against.

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