The Role
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.
Summary Generated by Built In
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.
Skills Required
- Backend development experience using Node.js, Python, Java, or Go
- Experience building RESTful or GraphQL APIs
- Strong knowledge of distributed systems and cloud architecture using AWS, GCP, or Azure
- Experience with Docker and Kubernetes
- Experience with Kafka or comparable stream-processing technologies
- Experience with SQL and NoSQL databases and caching layers
- Familiarity with event-driven design, messaging systems, and asynchronous processing
- Experience designing secure CI/CD workflows and infrastructure as code using Terraform or CloudFormation
- Ability to model complex business problems into reliable engineering solutions
- Experience with performance tuning and capacity planning for high-throughput systems
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The Company
What We Do
ArisInfra is a construction supply-chain and execution platform that integrates material procurement, project services, logistics, and proprietary technology. It helps construction and infrastructure companies source and move building materials across India, while digitising orders, deliveries, documentation, and financial decisioning. Its network supports large-scale operations across hundreds of locations, aiming to make construction supply more reliable, coordinated, and scalable for customers and suppliers.
