[ABS] Senior Backend developer with Data skills

Nisum Consulting Private Limited

Job Location:

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: 08-11-2025

Vacancies: 1 Vacancy

Job Summary

We are seeking a strong Backend Developer with solid experience in building scalable high-performance systems and working with data-centric applications. The role will focus on developing backend services APIs and integrations for a Monetization and Data Platform that drives business insights customer personalization and revenue enablement.

What Youll Do:

Design develop and maintain backend microservices supporting data ingestion processing and monetization workflows.
Collaborate with data engineering and product teams to integrate data pipelines and business logic into backend systems.
Implement APIs and services that expose data insights and monetization metrics to internal and external consumers.
Optimize system performance reliability and scalability for high-volume data transactions.
Contribute to architecture discussions technical design and solution reviews.
Ensure adherence to best practices in coding testing CI/CD and observability.
Work closely with cross-functional teams to translate business requirements into technical solutions.

What You Know:

Programming: Strong expertise in Java / Spring Boot (or Python if applicable).
Frameworks: Spring WebFlux / Reactive programming experience preferred.
Databases: Experience with MongoDB PostgreSQL or other NoSQL/SQL databases.
Data Exposure: Hands-on with data processing ETL integration Kafka or streaming data platforms.
APIs: RESTful and GraphQL API design and implementation.
Cloud Platforms: Familiarity with AWS / GCP / Azure and related data or storage services.
DevOps: Exposure to Docker Kubernetes CI/CD pipelines Git and Jenkins.
Monitoring & Logging: Proficiency with tools like Prometheus Grafana ELK Stack etc.
Strong understanding of distributed system concepts performance tuning and asynchronous processing.

Good to Have:

Experience with data monetization ad tech or subscription platforms.
Knowledge of data governance PII handling and data security best practices.
Exposure to machine learning model integration or data analytics pipelines.
Familiarity with Python / Spark / Databricks for data workflows.

Soft Skills:

Strong problem-solving analytical and communication skills.
Ability to collaborate effectively with product data and business teams.
Ownership mindset with a focus on delivery quality and continuous improvement.

Education:

Bachelors degree in computer science Engineering or a related field (Masters preferred).

Compensation Band:
$120 - $130K per annum

We are seeking a strong Backend Developer with solid experience in building scalable high-performance systems and working with data-centric applications. The role will focus on developing backend services APIs and integrations for a Monetization and Data Platform that drives business insights cu...

What Youll Do:

Design develop and maintain backend microservices supporting data ingestion processing and monetization workflows.
Collaborate with data engineering and product teams to integrate data pipelines and business logic into backend systems.
Implement APIs and services that expose data insights and monetization metrics to internal and external consumers.
Optimize system performance reliability and scalability for high-volume data transactions.
Contribute to architecture discussions technical design and solution reviews.
Ensure adherence to best practices in coding testing CI/CD and observability.
Work closely with cross-functional teams to translate business requirements into technical solutions.

What You Know:

Programming: Strong expertise in Java / Spring Boot (or Python if applicable).
Frameworks: Spring WebFlux / Reactive programming experience preferred.
Databases: Experience with MongoDB PostgreSQL or other NoSQL/SQL databases.
Data Exposure: Hands-on with data processing ETL integration Kafka or streaming data platforms.
APIs: RESTful and GraphQL API design and implementation.
Cloud Platforms: Familiarity with AWS / GCP / Azure and related data or storage services.
DevOps: Exposure to Docker Kubernetes CI/CD pipelines Git and Jenkins.
Monitoring & Logging: Proficiency with tools like Prometheus Grafana ELK Stack etc.
Strong understanding of distributed system concepts performance tuning and asynchronous processing.

Good to Have:

Experience with data monetization ad tech or subscription platforms.
Knowledge of data governance PII handling and data security best practices.
Exposure to machine learning model integration or data analytics pipelines.
Familiarity with Python / Spark / Databricks for data workflows.