Architect - Software Developer

Accountabilities

• Define and lead the architecture of scalable backend systems, including microservices, APIs, and event-driven components supporting agentic and AI-powered platforms.
• Design and maintain versioned, backward-compatible APIs using contract-first approaches (OpenAPI, Swagger, gRPC) ensuring consistency and long-term scalability.
• Establish engineering standards for API design, testing strategies, CI/CD pipelines, documentation, and software quality across teams.
• Guide engineering teams through high-level and low-level design (HLD/LLD), architecture reviews, and best practices for scalable system design.
• Champion observability practices including logging, metrics, tracing, and telemetry across distributed systems to improve reliability and debuggability.
• Enable developer experience by publishing SDKs, API documentation, and integration tools such as Postman collections and developer portals.
• Collaborate with AI/ML teams to integrate model-serving systems, orchestration frameworks, and agent-based workflows into backend platforms.
• Oversee system performance, scalability, and reliability across distributed and cloud-native environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
• 8+ years of experience in backend development, distributed systems, or software architecture roles.
• Strong expertise in Python, TypeScript (Node.js), or similar backend programming languages.
• Deep understanding of microservices architecture, event-driven systems, and asynchronous programming models.
• Proven experience with API lifecycle management, including authentication, versioning, rate limiting, and contract-first design.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and CI/CD pipelines.
• Strong knowledge of messaging systems such as Kafka or RabbitMQ and real-time streaming architectures.
• Experience producing HLD/LLD documentation, system diagrams, and applying software design patterns for scalable systems.
• Familiarity with AI/ML ecosystems (LLMs, RAG, vector databases, agent frameworks) is highly desirable.
• Strong leadership, mentoring, and cross-functional collaboration skills with the ability to align engineering with product vision.
• Experience in healthcare, data privacy, or regulated environments is a plus.

Benefits

• Competitive compensation aligned with senior architecture-level responsibilities and market standards.
• Access to cutting-edge AI, cloud, and distributed systems projects at enterprise scale.
• Hybrid or remote-friendly work flexibility depending on team requirements.
• Opportunity to work with advanced GPU infrastructure and modern AI/ML platforms.
• Strong technical growth environment with exposure to global AI experts and enterprise clients.
• Comprehensive health, dental, and wellness benefits.
• Continuous learning and upskilling opportunities in AI, cloud computing, and software architecture.
• Inclusive and innovation-driven culture focused on collaboration, transparency, and engineering excellence.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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