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Software Developer, Backend Developer, DevOps

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Tata Consultancy Services Limited
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    Backend Developer, DevOps, Cloud Engineer - Software, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Proficiency in one or more low/no code applications:
    Corteza, Tines, Power Automate
  • Strong programming experience in Linux/Unix-based environments
  • Design and implementation of RESTful APIs
  • Understanding of microservices architecture, patterns, and implementation
  • Database design and development (SQL and No

    SQL)
  • Hands-on experience with CI/CD pipelines and Dev Sec Ops  practices
  • Experience using CI tools such as Jenkins, Bitbucket Pipelines, or Git Lab CI
  • Strong understanding of Docker for building, shipping, and running distributed applications
  • Cloud-native development experience with AWS, GCP, or Azure
  • Experience with cybersecurity tool chains (preferred)
  • General expertise across operating systems, programming languages, and database technologies
  • Excellent communication skills; self-starter with strong initiative
  • Leadership, influence, and cross-functional collaboration capabilities
  • Strong problem-solving, judgment, and decision-making skills
  • Ability to work effectively in global teams and deliver under tight timelines
  • Adaptability and comfort working in environments with high ambiguity
  • Flexibility to support various program and team needs as required
  • Proficiency in leveraging Artificial Intelligence (AI) to drive innovation and efficiency within technical domains
  • Write production-grade software supporting SOC workflows, analytics, and detection pipelines
  • Build integrations for SIEM, SOAR, cloud security tools, and endpoint platforms
  • Develop dashboards, APIs, automation scripts, and backend services
  • Modernize and migrate legacy internal apps to cloud-based architectures
  • Support data modeling and operational reporting development
  • Using artificial intelligence, where possible, for development and for use in tools they create for their end users
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