Senior Software Engineer

Diligente Technologies; India; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Diligente Technologies is looking for an experienced developer to architect scalable event-driven systems and design orchestration workflows using Adobe Campaign. The ideal candidate will develop high-performance big-data applications and optimize cloud-native data pipelines on Azure. Candidates should have experience in AI-augmented development, advanced system design, and full-stack engineering with frontend and backend technologies. Strong communication and leadership skills are essential for collaborating with cross-functional teams.

Qualifications

• Experience with AI-augmented development such as Vibe Coding or comparable frameworks.
• Cloud engineering experience with Azure services, including Azure Data Factory.
• Advanced system design capabilities including event-driven architectures and distributed design patterns.
• Proven ability to lead engineering teams in a fast-paced, cross-functional environment.

Responsibilities

• Architect scalable, event-driven systems for real-time marketing experiences.
• Design and implement orchestration workflows using Adobe Campaign.
• Develop high-performance big-data applications.
• Build and optimize cloud-native data pipelines on Azure.
• Implement robust APIs and microservices for integration with MarTech systems.

Skills

AI-augmented development

Cloud engineering with Azure

Full-stack engineering

RESTful API design

Strong communication skills

Tools

Adobe Campaign

Scala

Databricks

Python

Spark SQL

Spark Streaming

React

Angular

Vue

Node.js

Java

Job description

Architect scalable, event‑driven systems that power real‑time marketing experiences, automated customer journeys, and full‑stack digital touchpoints.

Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise‑grade tools.

Develop high‑performance big‑data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.

Build and optimize cloud‑native data pipelines on Azure, including ADF‑based ingestion, transformation, and orchestration.

Implement robust APIs and microservices that integrate MarTech systems with customer‑facing platforms.

Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems and full‑stack architectures.

Drive AI‑assisted engineering practices including Vibe Coding and other generative‑AI development accelerators.

Collaborate with product, marketing, and data teams to translate business needs into robust technical solutions across both data and application layers.

Mentor engineers and elevate engineering standards, code quality, and operational excellence within the POD.

Required Skills & Experience

Experience with AI‑augmented development such as Vibe Coding or comparable frameworks.

Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.

Cloud engineering experience with Azure services, including Azure Data Factory.

Advanced system design capabilities including event‑driven architectures and distributed design patterns.

Full‑stack engineering experience with:

Frontend frameworks such as React, Angular, or Vue.

Backend development using Node.js, Python, Java, or similar.

RESTful and GraphQL API design.

Proven ability to lead engineering teams in a fast‑paced, cross‑functional environment.

Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.

Preferred Qualifications

Background in high‑volume data processing supporting customer engagement or growth marketing.

Familiarity with DevOps practices including CI/CD, observability, and automated testing across both data and application stacks.

Experience building customer‑facing web applications integrated with MarTech and data platforms.