Design and build scalable backend microservices, distributed systems, event-driven architectures, data pipelines, and real-time analytics for procurement, logistics, credit, and compliance. Lead cloud infrastructure, CI/CD, observability, security, performance tuning, and reliability initiatives across high-throughput systems. Apply machine learning and automation to vendor recommendations, demand forecasting, risk scoring, and fraud detection while driving engineering standards through code reviews and cross-functional collaboration.
Aris is building core infrastructure for how construction materials are sourced, financed, and moved across India. This isn’t a marketplace or a layer on top of existing systems, we’re building the underlying technology that powers logistics, credit decisions, and compliance at scale.
Our platform runs live operations across 900+ pin codes and supports real-time tracking, automated documentation, and financial decisioning across a large supply chain. Performance, reliability, and correctness matter here - this is backend-heavy work where systems operate continuously and at scale.
As a Principal Engineer at Aris, you’ll be responsible for driving engineering excellence and strengthening our digital infrastructure platform that supports one of India’s fastest-growing construction supply ecosystems. You will collaborate with cross-functional teams to build scalable, reliable, and secure solutions that power core capabilities such as automated procurement, real-time delivery tracking, credit risk scoring, and end-to-end supply chain digitisation.
Key Responsibilities
Technical Delivery & Engineering
- Design, develop and deploy scalable microservices supporting procurement workflows, vendor matching, and delivery management.
- Build backend systems optimized for heavy transactional load and real-time data processing, enabling procurement decisions in minutes.
- Ensure efficient and resilient integrations with internal services (e.g., order processing, documentation digitisation) and external vendor systems/APIs.
- Implement event-driven architectures using message brokers, queues or streaming platforms to handle high-throughput vendor and material data.
Data, Intelligence & Automation
- Leverage machine learning models and AI algorithms to optimize vendor recommendations and demand forecasting.
- Implement real-time analytics dashboards, alerting systems, and performance telemetry for business and operational metrics.
- Contribute to data pipeline architectures and ETL processes that power analytics, credit risk scoring, and supply chain intelligence.
Platform Reliability & Operations
- Apply best practices in DevOps and CI/CD pipelines for rapid code delivery with automated testing, security scans, and deployment automation.
- Enhance observability through metrics, logs, tracing, and anomaly detection tools to maintain high availability of mission-critical systems.
- Collaborate with DevOps and SRE teams to ensure performance at scale with minimal downtime.
Security, Compliance & Quality
- Champion secure coding practices and enforce compliance with data protection, confidentiality, and source control protocols.
- Conduct code reviews, performance profiling, and automated security testing to uphold engineering standards.
Required Skills & Experience
Technical Expertise
- Proven experience in backend development with Node.js / Python / Java / Go and building RESTful or GraphQL APIs.
- Strong fundamentals in distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
- Experience with stream processing technologies (e.g., Kafka), database technologies (SQL and NoSQL), and caching layers.
- Familiarity with event-driven design patterns, messaging systems, and asynchronous processing.
- Adept at designing secure and scalable CI/CD workflows and infrastructure as code (IaC) using Terraform/CloudFormation.
Analytical & Problem Solving
- Ability to model complex business problems into reliable engineering solutions.
- Experience with performance tuning and capacity planning in high-throughput systems.
Why Work at Aris
- High-impact ownership: Build and scale core backend services powering procurement, logistics, payments, and compliance.
- Complex systems at scale: Solve real production challenges across distributed systems handling high-volume transactions.
- Applied AI: Integrate ML into pricing, credit risk, logistics optimisation, and fraud detection workflows.
- Strong engineering practices: Work with cloud-native systems, CI/CD, infra-as-code, and structured design reviews.
- Builder mindset: Hands-on role with deep ownership, collaborating closely with junior engineers and leadership.
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