Senior Software Engineer (Observability, Python, MongoDB, AI Framework)
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, mid-level generalist title, metro location, and broad skillset increase candidate competition.
Core DevOps, observability, Python and cloud skills are broadly transferable across industries despite banking context.
Explicit 4+ years requirement plus multiple required technologies and platform skills implies moderate filtering of applicants.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and deliver moderately complex software engineering initiatives, including design, coding, testing, debugging, and documentation within the technology domain.
Evaluate and recommend AI frameworks like Google ADK, AutoGen, LangChain, LlamaIndex, and Crew AI; contribute to architectural decisions ensuring reliability, security, and scalability.
Lead projects and teams, manage stakeholders, and provide guidance to less experienced staff while resolving complex technical challenges.
Minimum Requirements
4+ years of Software Engineering experience or equivalent demonstrated via work experience, training, military experience, or education.
Experience with Python, SQL, database design, ETL pipeline development, observability and DevOps tools (Splunk, Grafana, CI/CD pipelines).
Familiarity with AI frameworks and reporting tools such as Tableau and cloud platforms like GCP.
Excellent communication skills and team management experience.
Ideal Candidate Profile
Experienced in leading moderate to complex technology projects with broad impact, especially involving AI framework evaluation and observability tooling.
Strong technical background combining software engineering, database design, DevOps practices, and architectural knowledge for scalable, secure solutions.
Capable of handling stakeholder management and mentoring roles, with ability to navigate risk and compliance requirements in a regulated financial environment.