Search by job, company or skills

A

Continuous Integration Engineer

new job description bg glownew job description bg glownew job description bg svg
  • Posted 15 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Designation: Lead CI Engineer

Location: Bangalore, India

Experience Level: 5+ years

Type: Full-Time

Work Mode: In-office

About Us

We are a fast-growing startup revolutionizing inventory scanning in the warehouse industry. Our team is agile, curious, and deeply passionate about building reliable and scalable systems across diverse domainsfrom MLOps pipelines and geometric vision to backend microservices and distributed data infrastructure.

Role Overview

We are building a cross-functional team responsible for delivering end-to-end customer solutions by integrating modules and services from multiple engineering groups Software, MLOps, and Geometric Vision.

In this role, you will deeply understand customer use cases, configure and assemble AI-driven pipelines from existing components, and ensure they meet accuracy, performance, and turn around-time (TAT) expectations.

You will work across Python and Java services, AI inference pipelines (NVIDIA Triton), geometric vision modules, and distributed backend systems. Over time, you will continuously improve pipeline accuracy and efficiency through structured RCA and insights from the Data Analytics team.

This is a high-ownership role where engineering depth meets customer-oriented problem solving.

What You'll Do

  • Understand customer use cases in detail and translate them into scalable technical pipelines.
  • Integrate configurable modules and services across AI models (via NVIDIA Triton), geometric vision modules
  • Python, backend Java microservices, and Kafka-based communication layers.
  • Build, configure, and deploy end-to-end pipelines tailored to each customer facility.
  • Maintain and enhance solutions for existing customers while building robust pipelines for new deployments.
  • Continuously improve accuracy and TAT by conducting structured RCAs in collaboration with the Data Analytics team.
  • Push incremental releases to customer facilities, ensuring stability, reliability, and measurable improvements.
  • Collaborate closely with Software, MLOps, Geometric Vision, DevOps, and QA teams to drive alignment and shared ownership across releases.
  • Automate repeatable workflows to improve reliability, speed, and consistency across
  • deployments.
  • Guide and mentor junior engineers, supporting their growth and ensuring high engineering standards across the team.

What We're Looking For

3+ years of hands-on engineering experience, preferably working across multiple technical domains.

Someone who can take full end to end ownership of a product line.

Strong programming experience in Python and Java.

Ability to understand and work with distributed systems, microservice architectures, and asynchronous communication

Kafka

Experience with or strong aptitude to learn:

AI model hosting via NVIDIA Triton

Geometric vision modules (Python-based)

Backend architectures and databases

PostgreSQL, Memgraph, Neo4j)

Strong systems-level thinking and ability to understand how components interact end-to-end.

Proven ability to work with engineers from multiple domains

(ML, vision, backend, DevOps) to drive collaborative problem solving.

Ability to mentor and guide junior engineers, provide technical direction, and review their work.

High willingness and aptitude to learn fast, experiment rapidly, and work across functional boundaries.

You're a Great Fit If You Are

Detail-oriented You think deeply about edge cases, pipeline behaviour, and

logging/monitoring.

Automation-focused You look for ways to make processes robust, repeatable, and scalable.

Customer-centric You enjoy understanding real-world problems and building practical solutions.

A strong owner You take responsibility for a product end-to-end and follow through on

improvements.

Collaborative You enjoy working with people across software, ML, vision, DevOps, and

analytics.

Supportive leader You take initiative to mentor juniors and uplift team-wide engineering quality.

Perks & Benefits

Lunch on us Fresh meals provided daily at the office.

Comprehensive health insurance Coverage for you and your dependants.

Cutting-edge challenges Work at the intersection of software, vision, and AI.

Growth-focused culture A team that encourages continuous learning, ownership, and

experimentation.

More Info

Job Type:
Industry:
Function:
Employment Type:

About Company

Job ID: 137852719