Python Architect

We are seeking an experienced Python Architect to lead the architecture, design, and evolution of next-generation sports coaching and athlete performance platforms. This role will drive enterprise-scale backend architecture, cloud-native modernization, platform engineering, and data-driven product innovation.

As a key technology leader, you will define technical strategy, establish architecture standards, and collaborate with Engineering, Product, Data Science, DevOps, Security, and Leadership teams to build highly scalable, secure, and resilient systems supporting real-time athlete tracking, coaching insights, performance analytics, and AI-powered recommendations. [Lead Pytho...veloper_JD | Word]

Key Responsibilities

Architecture & Technology Strategy

• Define and drive the overall backend and platform architecture roadmap.
• Design scalable, cloud-native, event-driven architectures supporting millions of user interactions and real-time data processing.
• Establish architectural principles, design patterns, engineering standards, and governance processes.
• Lead technical evaluations, technology selection, architecture reviews, and proof-of-concepts.
• Create architecture blueprints, reference architectures, and technical standards.

Platform & Solution Design

• Architect large-scale distributed systems using Python ecosystems such as FastAPI, Django/DRF, Flask, and emerging technologies.
• Design high-performance microservices, APIs, integration frameworks, and multi-tenant SaaS platforms.
• Develop solutions supporting real-time telemetry, athlete performance tracking, coaching recommendations, and analytical dashboards.
• Define strategies for scalability, disaster recovery, business continuity, and high availability.

Data Architecture

• Design enterprise-grade data platforms utilizing: 
• PostgreSQL
• MySQL
• MongoDB
• DynamoDB
• Elasticsearch
• Redis
• Time-series databases
• Establish data governance, indexing, partitioning, sharding, caching, and retention strategies.
• Drive architectural decisions around data lakes, analytics platforms, and ML feature stores.

Cloud & Infrastructure Leadership

• Architect solutions across AWS, Azure, or GCP ecosystems.
• Design containerized and Kubernetes-based platforms using: 
• Docker
• Kubernetes (EKS/AKS/GKE)
• Service Mesh technologies
• Lead Infrastructure-as-Code strategies using Terraform and CloudFormation.
• Define enterprise CI/CD standards and DevSecOps practices.

Event-Driven & Streaming Systems

• Architect streaming and asynchronous platforms using: 
• Kafka
• RabbitMQ
• AWS Kinesis
• Google Pub/Sub
• Design resilient messaging systems supporting low-latency athlete telemetry and analytics workloads.
• Implement CQRS, Event Sourcing, and domain-driven architectures where applicable.

Security & Compliance

• Establish secure architecture frameworks aligned with OWASP standards.
• Drive implementation of: 
• OAuth2
• OIDC
• JWT
• Encryption standards
• Secrets management
• API security practices
• Lead threat modeling, architecture risk assessments, and compliance initiatives.

Performance & Reliability Engineering

• Define platform reliability standards including SLIs, SLOs, and error budgets.
• Architect observability solutions using: 
• OpenTelemetry
• Prometheus
• Grafana
• ELK/EFK
• Sentry
• Lead performance tuning, capacity planning, and resiliency engineering efforts.

Technical Leadership

• Mentor senior engineers, technical leads, and development teams.
• Lead architecture review boards and design governance meetings.
• Drive technical roadmaps aligned with business objectives.
• Collaborate with executive leadership on technology strategy and investment planning.
• Influence engineering culture through best practices and innovation.

AI/ML & Analytics Enablement

• Partner with Data Science teams to architect scalable ML platforms.
• Design systems supporting: 
• Recommendation engines
• Athlete insights
• Predictive analytics
• Computer vision solutions
• Model serving infrastructures
• Enable integration with SageMaker, Vertex AI, Azure ML, and similar platforms.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 12+ years of software development experience.
• 8+ years of hands-on Python development experience.
• 5+ years in Solution Architect, Technical Architect, or Principal Engineer roles.
• Deep expertise in designing enterprise-grade distributed systems.
• Strong experience with Python frameworks including FastAPI, Django/DRF, and Flask.
• Extensive experience designing REST and GraphQL APIs.
• Strong understanding of: 
• Microservices Architecture
• Distributed Systems
• Event-Driven Architecture
• Domain-Driven Design (DDD)
• CQRS and Event Sourcing
• Expertise with relational and NoSQL databases.
• Experience designing cloud-native solutions on AWS, Azure, or GCP.
• Strong knowledge of Kubernetes, container orchestration, and platform engineering.
• Proven experience establishing CI/CD and DevSecOps practices.
• Excellent stakeholder management, communication, and leadership skills.

Preferred Qualifications

• Experience in SportsTech, Fitness, HealthTech, or real-time telemetry platforms.
• Exposure to wearable integrations, IoT platforms, BLE communications, and streaming analytics.
• Experience with AI/ML architecture and model-serving platforms.
• Knowledge of data mesh, lakehouse architectures, and modern analytics ecosystems.
• Experience building subscription, payment, and entitlement systems.
• Contributions to open-source projects, technical communities, or architecture forums.