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Salary
$49k – $123k per year (Estimated)
Location
In office
Seniority
Senior · 7+ years exp
Overview
Company
Impact
Profile match
Ciandt is a leading provider of digital transformation services. We help organizations transform their businesses by leveraging the latest technologies. Our solutions provide comprehensive digital strategy, design, development, and implementation capabilities.

We are seeking a highly skilled MID Software Engineer, AI-First Development who is

passionate about building modern, scalable software while leveraging Artificial Intelligence to

dramatically improve engineering productivity.

This is a hands-on engineering role for someone who embraces AI-first software development,

automates repetitive engineering tasks, and takes end-to-end ownership of the services they

build.

The ideal candidate is an expert inJava, Python, Azure, Azure Databricks, Microservices, and modern SDLC practices, with proven experience delivering cloud-native enterprise applications. Beyond technical expertise, we are looking for an engineer who actively uses AI to accelerate software delivery, improve code quality, automate engineering workflows, and

increase developer productivity.

Collaboration

  • Work closely with architects, product owners, QA, DevOps, and business stakeholders.
  • Collaborate effectively with onsite and offshore engineering teams.
  • Participate in architecture discussions, code reviews, sprint planning, and technical

design sessions.

  • Mentor junior and mid-level engineers while promoting engineering excellence and AI

adoption.

Required Qualifications

  • Bachelor’s degree in computer science, Engineering, or a related field, or equivalent

practical experience.

  • 7+ years of professional software development experience.
  • Strong expertise in Java and Python.
  • Hands-on experience with Microsoft Azure.
  • Strong experience with Azure Databricks, Apache Spark, and Delta Lake.
  • Proven experience designing and developing enterprise-grade microservices and REST

APIs.

  • Strong understanding of distributed systems and cloud-native architectures.
  • Experience with Docker, Kubernetes, CI/CD, and DevOps practices.
  • Experience with Git, automated testing frameworks, and Agile software development.
  • Excellent analytical, debugging, and problem-solving skills.
  • Strong verbal and written communication skills.
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