Senior Software Engineer

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments

• Contribute to large scale planning of strategies

• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Software Engineering experience with strong exposure to automation and Platform Engineering

• Experience with Gen AI/LLM based solutions those are implemented in production

• Bachelor's or Master's degree in Computer science, engineering or related field.

Job Expectations:

• Lead the design and development of automation frameworks and platform tools used across engineering and operations teams

• Build scalable Python based automation services, APIs and backend utilities

• Develop intuitive React based UI for monitoring, orchestration and operational visibility

• Build Gen AI powered solutions such as incident summarization, runbook generation and operational insights

• Develop LLM powered assistants for engineering and support teams

• Design Agentic AI workflows where AI agents can analyze issues, trigger automations and execute multi step tasks with human oversight

• Implement RAG pipelines, embeddings and prompt engineering techniques

• Ensure AI Solutions follow security, governance and responsible AI practices

• Create and manage job scheduling workflows using Autosys

• Write and optimize Shell scripts for system automation, deployments and operational tasks

• Drive platform reliability and scalability through automation of repetitive operational processes

• Collaborate with DevOps, SRE and Application & Support teams to identify automation Opportunities

• Participate in incident response and problem management, building automations to prevent recurrence

• Develop solutions using REST APIs, system integrations and service orchestrations

• Experience working with version control systems (Git)

• Experience with containerization (Docker and Kubernetes)

• Experience with Infrastructure as code (Terraform, Ansible)

• Strong problem solving and system design skills

• Proactive mindset with a focus on automation-first thinking