Software Architect

Location:

Working Days:

Working Hours:

Experience:

Apply:

Subject Line:

Transform+

Software Architect

• Define and evolve the platform architecture covering microservices, API gateways, data pipelines, real‑time streaming, and storage strategies.
• Establish design patterns for integrating LLMs, speech‑to‑text engines, vector databases, and retrieval‑augmented generation pipelines.
• Create and maintain architecture artefacts—logical and physical diagrams, interface contracts, data flow maps, threat models.

• Specify non‑functional requirements (latency, throughput, availability, observability) and drive their implementation.
• Guide decisions on sharding, caching, queueing, and auto‑scaling to handle spikes in concurrent calls and AI inference workloads.
• Collaborate with DevOps on HA/DR strategies, cost‑optimised cloud deployments, and CI/CD best practices.

• Lead design reviews, code reviews, and proof‑of‑concepts for complex modules (speech pipelines, RAG services, dashboard analytics).
• Mentor senior and mid‑level engineers on clean architecture, domain‑driven design, and testability.
• Evaluate new tools, frameworks, and open‑source components; build decision matrices for adoption.

• Set architectural guardrails for authentication, authorisation, encryption, and data residency.
• Support infosec questionnaires and client audits by providing architecture and data‑flow evidence.
• Ensure alignment with industry standards (SOC 2, GDPR where applicable) in design and implementation.

• Work with Product and AI leadership to translate business requirements into well‑scoped, feasible technical solutions.
• Engage with customer‑facing solution architects to map client environments to Darwix AI components.
• Drive architectural alignment across multiple engineering pods to avoid duplication and technical debt.

• 8–12 years in backend or full‑stack engineering, with at least 3 years in an architecture or principal engineer role.
• Deep expertise in

  Python/Node.js

  , microservices, REST/gRPC APIs, and event‑driven architectures (Kafka/Redis Streams).
• Strong knowledge of cloud platforms (AWS or GCP), container orchestration (Docker/Kubernetes), and IaC tools.
• Experience designing data platforms with

  PostgreSQL, MongoDB, Redis, S3

  , and vector databases (FAISS/Pinecone).
• Proven ability to optimise for high‑concurrency, low‑latency audio or data‑streaming workloads.
• Demonstrated track record of guiding teams through major refactors, migrations, or greenfield platform builds.

• Familiarity with speech processing stacks (Whisper, Deepgram), LLM orchestration (LangChain), and GPU inference serving.
• Exposure to enterprise integrations with CRMs (Salesforce, Zoho), telephony (Twilio, Exotel), and messaging APIs (WhatsApp).
• Prior experience in a high‑growth SaaS or AI startup serving international enterprise clients.
• Bachelor’s or Master’s degree in Computer Science or related discipline from a Tier 1 institution.

• Architectural blueprints ratified and adopted across all engineering squads.
• Achieve target latency and uptime SLAs (≥ 99.99 %) for real‑time AI services.
• Reduction of production incidents attributable to architectural debt or design gaps.
• Completion of at least one major scalability initiative (e.g., regional multitenancy, GPU inference pool, streaming upgrade).
• Positive feedback from engineering teams on clarity and usability of architectural guidelines.

• A systems thinker who balances immediate product deadlines with long‑term platform health.
• A pragmatic technologist: you know when to refactor, when to extend, and when to build net‑new.
• A persuasive communicator comfortable explaining complex designs to engineers, product managers, and clients.
• A mentor and collaborator who raises the technical bar through example and feedback.
• Motivated by building resilient architectures that power real‑world AI products at scale.

careers@darwix.ai

Application – Software Architect – [Your Name]

Join Darwix AI to architect the next generation of real‑time, multilingual conversational intelligence platforms and leave a lasting impact on how global enterprises drive revenue with AI.