Software Engineer

Lexsi.ai; Mumbai; Presencial; INR 1.400.000 - 2.100.000; Jornada completa

Descripción de la vacante

Lexsi.ai in Mumbai is seeking an experienced infra engineer to build scalable systems, automate deployments, and optimize cloud infrastructure across AWS services. You will design monitoring, logging, and performance tuning for production, balancing cost and reliability in distributed environments.

The role also involves MLops data prep, model serving, and compute optimization within a distributed, cost-aware architecture.

Formación

• Deep expertise in Python with a track record of building scalable systems.
• Hands-on experience provisioning and managing AWS infrastructure.
• Strong command of Git and infrastructure monitoring tools.

Responsabilidades

• Build and maintain scalable infrastructure powering Lexsi.ai.
• Develop automation and orchestration for large-scale deployments.
• Optimize AWS cloud infra (EC2, ELB, S3, autoscaling).
• Design monitoring, logging, and analysis for production environments.
• Architect cost-effective, high-performance distributed solutions.

Conocimientos

Python

Bash

C/C++

Perl

AWS

Git

Graphite

Distributed systems

Web infrastructure

MongoDB

Linux

TCP/IP

MLops

Descripción del empleo

Batch: 2023/2024/2025/2026.

About the role

• Build and maintain scalable systems that power our infrastructure at Lexsi.ai
• Develop automation and orchestration solutions for managing large-scale deployments
• Optimize cloud infrastructure across AWS services including EC2, ELB, S3, and auto-scaling
• Design and implement monitoring, analysis, and logging systems for production environments
• Architect solutions that balance performance, cost, and reliability in distributed computing

What you'll work on

• Infrastructure-as-code using configuration management tools like Puppet, Chef, or Ansible
• Web server setup and optimization using nginx or Apache as reverse proxies and load balancers
• Database systems including both relational and NoSQL solutions with focus on MongoDB sharding, clustering, replication, and security
• Linux system administration, performance tuning, and troubleshooting
• Network programming and TCP/IP protocol work
• Machine learning operations including data preparation, model serving, and compute optimization

What we're looking for

• Deep expertise in Python with a track record of building systems that scale
• Proficiency writing Python, Bash, C/C++, and Perl scripts
• Hands‑on experience provisioning and managing AWS infrastructure
• Strong command of Git and infrastructure monitoring tools like Graphite
• Solid grasp of distributed systems architecture and engineering tradeoffs
• Experience with web infrastructure, distributed systems, or component‑oriented software design
• Knowledge spanning relational databases, document stores, key‑value systems, and graph databases

Nice to have

• Contributions to open-source projects
• Working experience with major machine learning engineering processes
• Understanding of both hardware and software load balancing approaches
• Background in large software system design and development