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Senior Software Engineer - Back-End & Agentic AI

Securonix
Bengaluru, IND
Full-time
Mid · 6–8 years experience
Onsite
Discovered 1 weeks ago
awsdockereksgithelmjavascript

Full Job Posting

Responsibilities

  • Design, develop, and maintain
  • our industry leading Threat Intelligence Platform – ThreatQ, with a focus on performance, scalability, and maintainability
  • Collaborate with team members, product owners, and designers to implement product requirements
  • Participate in code reviews, providing and receiving constructive feedback to maintain code quality standards
  • Oversee and mentor a team of software developers, providing technical guidance and fostering a culture of continuous improvement.
  • Collaborate with product managers, security analysts, and other stakeholders to understand requirements and translate them into technical specifications.
  • Develop and maintain high-quality code, ensuring adherence to best practices and coding standards.
  • Stay current with emerging technologies and industry trends in cybersecurity, integrating new tools and techniques into development processes as appropriate.
  • Contribute to the development of technical documentation, including design specifications, user guides, and API documentation.

Required Skills

  • A minimum of 6-8 years of experience with a bachelor’s degree in computer science or related field.
  • Strong hands-on experience in PHP (Laravel) and/or Python, and object-oriented programming principles
  • Experience with SQL and database systems, such as MariaDB, MongoDB, Redis, and Solr
  • Experience with front-end technologies, such as React, JavaScript, HTML, TypeScript and CSS
  • Solid understanding of CI/CD development lifecycle. Hands-on experience with GIT version control (GitHub/Bitbucket/GitLab).
  • Experience with RabbitMQ or similar message queue/async job systems
  • Familiarity with RESTful APIs and JSON
  • Experience with testing frameworks and libraries, such as PHPUnit, pytest, or Jest
  • Knowledge of microservices architecture and containerization technologies, such as Docker or Kubernetes
  • Experience with AWS and Infrastructure-as-Code (Terraform); familiarity with on-prem Kubernetes (RKE2) a plus
  • Experience working in Agile development environments
  • AI Tools & Agent Integration Experience:
  • Experience using AI-powered developer tools (e.g., coding assistants, internal copilots, workflow automation) to improve engineering productivity, code quality, and development efficiency.
  • Experience designing, prototyping, and integrating AI agents and intelligent services into internal systems and customer-facing products.
  • Experience collaborating with product, security, and platform teams to incorporate AI capabilities that meet enterprise requirements for reliability, security, and scalability.
  • Experience mentoring or guiding engineers on effective use of AI tools, prompt engineering techniques, and practical evaluation of AI-driven features in production environments.

Nice to Have

  • Experience designing multi-environment Terraform/Helm deployments spanning cloud (AWS EKS) and on-prem Kubernetes (RKE2) targets.
  • Experience in scaling SaaS environments
  • Experience with event-driven/queue-based architecture (e.g., RabbitMQ, Event Sourcing, Event Listeners)
  • Experience with AWS and Infrastructure-as-Code (Terraform); familiarity with on-prem Kubernetes (RKE2) a plus

Qualifications

  • A minimum of 6-8 years of experience with a bachelor’s degree in computer science or related field.
  • Strong hands-on experience in PHP (Laravel) and/or Python, and object-oriented programming principles
  • Experience with SQL and database systems, such as MariaDB, MongoDB, Redis, and Solr
  • Experience with front-end technologies, such as React, JavaScript, HTML, TypeScript and CSS
  • Solid understanding of CI/CD development lifecycle. Hands-on experience with GIT version control (GitHub/Bitbucket/GitLab).
  • Experience with RabbitMQ or similar message queue/async job systems
  • Familiarity with RESTful APIs and JSON
  • Experience with testing frameworks and libraries, such as PHPUnit, pytest, or Jest
  • Knowledge of microservices architecture and containerization technologies, such as Docker or Kubernetes
  • Experience working in Agile development environments
  • Experience using AI-powered developer tools (e.g., coding assistants, internal copilots, workflow automation) to improve engineering productivity, code quality, and development efficiency.
  • Experience designing, prototyping, and integrating AI agents and intelligent services into internal systems and customer-facing products.
  • Experience collaborating with product, security, and platform teams to incorporate AI capabilities that meet enterprise requirements for reliability, security, and scalability.
  • Experience mentoring or guiding engineers on effective use of AI tools, prompt engineering techniques, and practical evaluation of AI-driven features in production environments.

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