Introduction :

Our solutions hosted on our Iris Smart Manufacturing platform combine equipment and process domain expertise in Mining & Metals, Oil & Gas, Chemicals & Petrochemicals with the state-of-the-art in data sciences, machine learning, and process optimization.

The IRIS platform can work in hybrid mode and is built using a microservices architecture.

The applications are containerised and run on Azure Kubernetes Service and use Azure blob storage, Data Lake, IoT Hub, Event Hub, Event Grid, and Queues.

Job Description :

We are looking for a Technical Architect who combines deep Python expertise, strong computer science fundamentals, and hands-on engineering rigor to design and build scalable, high-performance systems.

This is a high-ownership, high-impact role where the individual is expected to :

- Operate using first-principles thinking.

- Be deeply hands-on with code, not just design.

- Solve ambiguous, complex technical problems.

- Drive end-to-end architecture and execution.

The architect will work closely with Engineering Managers, Directors, Product Managers, and cross-functional teams to translate high-level product goals into robust, scalable, and production-ready systems.

What Success Looks Like :

- Ability to take ambiguous problem statements and convert them into clear, executable technical plans.

- Consistent delivery of high-quality, production-grade systems with strong reliability and performance.

- Demonstrated impact in eliminating bottlenecks, improving system efficiency, and scaling platforms.

- Strong influence across teams through clear technical communication and leadership.

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.

Required 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.

What We Offer :

- Competitive salary and benefits package.

- Flexible hybrid working model.

- Opportunities for professional growth and development.

- Collaborative and inclusive work environment.

- Access to the latest technologies and tools.

- Opportunity to make a tangible impact on cutting-edge Retail/ CPG AI solutions.