Role Overview:

As a Backend Technical Architect at our company, you will be responsible for combining deep Python expertise, strong computer science fundamentals, and hands-on engineering rigor to design and build scalable, high-performance systems. In this high-ownership role, you are expected to operate using first-principles thinking, be deeply hands-on with code, solve ambiguous technical problems, and drive end-to-end architecture and execution. You will closely collaborate with Engineering Managers, Directors, Product Managers, and cross-functional teams to translate high-level product goals into robust, scalable, and production-ready systems.

Key Responsibilities:

• Architecture & System Design
• Design scalable, fault-tolerant distributed systems using microservices architecture
• Ensure systems are built with observability, resiliency, and extensibility by design
• Hands-on Development (Python-first)
• Actively contribute to core codebases with high-quality, maintainable Python code
• Lead by example in coding standards, debugging, and performance optimization
• Build reusable frameworks, libraries, and internal platforms
• Problem Solving & Performance Engineering
• Identify and resolve system bottlenecks (CPU, memory, I/O, network, DB)
• Drive performance tuning, load testing, and scalability improvements
• Establish benchmarks and SLO-driven engineering practices
• Lead root cause analysis (RCA) and implement long-term fixes
• Design guardrails to prevent 99% of known failure modes
• Improve observability (metrics, logs, traces) across systems
• Technical Leadership & Mentorship
• Lead a team of senior, mid-level, and junior engineers
• Mentor engineers in system design, coding best practices
• Raise the overall engineering bar across teams
• Cross-Team Collaboration
• Work effectively with frontend, backend, data, and platform teams
• Ensure features are implemented end-to-end in a cohesive and scalable manner
• Communicate technical concepts clearly to both engineers and leadership

Qualifications

• Strong hands-on experience in Python (design, debugging, performance tuning)
• Experience building and scaling microservices-based distributed systems
• Deep understanding of concurrency, parallelism, async processing, and event-driven architectures
• Strong grasp of API design (REST/gRPC)
• Experience with data systems: SQL (Postgres) and NoSQL (MongoDB, Elasticsearch), Messaging systems (Kafka, Event Hubs, queues), data-intensive systems and pipelines
• Hands-on experience with cloud and infrastructure: AWS / Azure / GCP, Docker, Kubernetes, CI/CD pipelines
• Familiarity with observability tools: Prometheus, Grafana, Kibana (or similar)
• Experience with workflow orchestration tools (Airflow, NiFi or equivalent)
• Exposure to Data / AI platforms (preferred)
• Strong focus on code quality, testing, and automation
• Comfortable using GenAI development tools (e.g., Cursor, Copilot) to improve productivity
• Experience in working with Ontology/Knowledge Graph in any complex data ecosystem is a huge plus

About Us

Unfortunately, no additional details about the company were provided in the job description. Role Overview:

As a Backend Technical Architect at our company, you will be responsible for combining deep Python expertise, strong computer science fundamentals, and hands-on engineering rigor to design and build scalable, high-performance systems. In this high-ownership role, you are expected to operate using first-principles thinking, be deeply hands-on with code, solve ambiguous technical problems, and drive end-to-end architecture and execution. You will closely collaborate with Engineering Managers, Directors, Product Managers, and cross-functional teams to translate high-level product goals into robust, scalable, and production-ready systems.

Key Responsibilities:

• Architecture & System Design
• Design scalable, fault-tolerant distributed systems using microservices architecture
• Ensure systems are built with observability, resiliency, and extensibility by design
• Hands-on Development (Python-first)
• Actively contribute to core codebases with high-quality, maintainable Python code
• Lead by example in coding standards, debugging, and performance optimization
• Build reusable frameworks, libraries, and internal platforms
• Problem Solving & Performance Engineering
• Identify and resolve system bottlenecks (CPU, memory, I/O, network, DB)
• Drive performance tuning, load testing, and scalability improvements
• Establish benchmarks and SLO-driven engineering practices
• Lead root cause analysis (RCA) and implement long-term fixes
• Design guardrails to prevent 99% of known failure modes
• Improve observability (metrics, logs, traces) across systems
• Technical Leadership & Mentorship
• Lead a team of senior, mid-level, and junior engineers
• Mentor engineers in system design, coding best practices
• Raise the overall engineering