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Lead Application Architect/Engineer

Skyleaf Consultants
7 - 9 Years
Multiple Locations

Posted on: 18/06/2026

Job Description

Job Description : Lead Application Architect/Engineer

Experience : 7+ years

Key Responsibilities :

- System Design : Architect end-to-end solutions that are scalable, resilient, and secure, utilizing microservices, serverless, or modular monolith patterns as appropriate.

- Hands-on Development : Lead by example by contributing to critical-path code, developing POCs (Proof of Concepts).

- Tech Stack Ownership : Evaluate and select frontend frameworks, backend languages, and database technologies. Stay ahead of 2026 trends (e.g., AI integration, Edge computing).

- Cloud & DevOps Strategy : Design CI/CD pipelines and cloud infrastructure (Azure/GCP) that emphasize automation, observability, and cost-efficiency. Mainly looking for Azure/GCP skills.

- Security & Compliance : Ensure "security by design" is baked into the application layer (OAuth, JWT, data encryption, and OWASP standards).

- Mentorship : Conduct high-impact code reviews and provide technical leadership to junior and senior developers alike.

Technical Requirements :

1. Backend & API Design :

- Proficiency in at least two major ecosystems (e.g., Node.js/TypeScript, Go, Python/FastAPI).

- Expertise in API design (REST, GraphQL, or gRPC) and documentation (OpenAPI/Swagger).

- Experience with Event-Driven Architecture (Kafka, RabbitMQ, or Azure Eventhub).

2. Data & Infrastructure :

- Advanced knowledge of Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cosmos, or Pinecone/Vector DBs) databases.

- Strong experience with containerization (Docker, Kubernetes)

- Familiarity with AI/ML integration (e.g., integrating LLMs via LangChain or LlamaIndex).

Soft Skills & Experience :

- Experience : 5+ years in software engineering, with at least 2-3 years in a leadership or architectural capacity.

- Decision Making : Ability to explain the "Why" behind a technical choice to non-technical stakeholders.

- Adaptability : A "right tool for the job" mindset-no loyalty to a specific language if a better solution exists.

Leadership Skills :

- Demonstrated ability to lead and manage small teams, with strong project management and communication skills.

- Experience in setting technical direction, prioritizing tasks, and resolving technical challenges under tight deadlines.

Why Join Us?

- Opportunity to work on cutting-edge AI projects with real-world impact.

- Collaborative and innovative work environment with a focus on technical excellence.

- Access to state-of-the-art tools, technologies, and resources to fuel your success.

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