Senior Software Engineer

Job Description – Senior Software Engineer (AI, Automation & Platform Engineering)

Role Overview

This role is designed for a highly experienced technical engineer who will lead transformational engineering initiatives across Generative AI, Chaos Engineering, automation, and platform modernization.

The position focuses on building resilient, scalable, and AI-augmented engineering systems supporting mission-critical enterprise platforms. It requires strong expertise in distributed systems, reliability engineering, and AI-driven solutions.

The role also involves mentoring engineering teams, driving technical strategy, and contributing to enterprise-level engineering transformation programs.

Key Responsibilities

• Lead moderately complex technical initiatives within engineering domains

• Contribute to large-scale planning and strategy development

• Design, develop, test, debug, and document software solutions for technology programs, including upgrades and deployments

• Evaluate and resolve moderately complex technical challenges requiring in-depth analysis of systems and procedures

• Lead resolution of production and technical issues while supporting client and stakeholder needs

• Collaborate with peers, senior engineers, and managers to achieve technical and business objectives

• Act as escalation point and provide technical guidance to junior engineers

• Lead engineering projects and drive delivery excellence

Job Expectations

• Design and build automation frameworks and platform engineering tools

• Develop scalable Python-based automation services, APIs, and backend systems

• Build React-based UI applications for monitoring, orchestration, and operational visibility

• Develop Generative AI solutions, including:

  • Incident summarization

  • Runbook generation

  • Operational insights

• Build LLM-based engineering assistants for support and operations teams

• Design agentic AI workflows for automated issue analysis and multi-step task execution with human oversight

• Implement RAG pipelines, embeddings, and prompt engineering techniques

• Ensure AI solutions follow security, governance, and responsible AI principles

• Build and manage job scheduling workflows using enterprise scheduling tools

• Develop shell scripts for automation, deployments, and operational tasks

• Improve platform reliability through automation of repetitive processes

• Collaborate with DevOps, SRE, and support teams to identify automation opportunities

• Participate in incident response and problem management, driving automation to prevent recurrence

• Develop REST APIs and system integrations

• Work with version control systems (Git)

• Use containerization technologies (Docker, Kubernetes)

• Implement Infrastructure as Code (Terraform, Ansible)

• Apply strong system design and problem-solving skills

• Maintain automation-first engineering mindset

Required Qualifications

• 4+ years of Software Engineering experience OR equivalent experience through education, training, or work experience

• Strong background in software engineering, automation, and platform development

Desired Qualifications

• Experience in automation and platform engineering

• Hands-on experience building production-grade GenAI / LLM-based systems

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

• Strong understanding of scalable distributed systems and cloud-native architecture

Key Technical Skills

• Python, APIs, backend development

• React (frontend development)

• GenAI / LLMs, RAG pipelines, prompt engineering

• Autosys or similar job scheduling tools

• Shell scripting

• Git version control

• Docker, Kubernetes

• Terraform, Ansible

• System design and automation frameworks