Senior Software Engineer (Observability, Python, MongoDB, AI Framework)
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand, mid-level generalist title, and metro-oriented observability skills increase applicant competition.
Core observability, cloud, and Python skills are broadly transferable across industries, so low sensitivity.
Many mandatory technical skills but only a 4+ years requirement, so medium strictness.
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 technology domains.
Make architectural decisions focusing on reliability, security, scalability, and evaluate AI frameworks like Google ADK, AutoGen, LangChain, LlamaIndex, Crew AI.
Lead projects and teams, provide technical guidance, manage stakeholders, and contribute to observability and DevOps practices using tools like Splunk, Grafana, CI/CD pipelines.
Minimum Requirements
Minimum 4 years of software engineering experience or equivalent through work experience, training, education, or military experience.
Proficiency in Python, SQL, and experience with database design and ETL pipeline development.
Experience with observability and DevOps tools: Splunk, Grafana, CI/CD, automated testing.
Ability to work with cloud platforms, specifically Google Cloud Platform (GCP).
Ideal Candidate Profile
Experienced in leading complex technology initiatives, preferably companywide, with broad impact and in developing standards and best practices.
Strong technical expertise in AI frameworks, observability tools, DevOps, ETL pipelines, and cloud infrastructure.
Capable of collaborating and consulting with senior technical teams and external industry groups to resolve complex technical challenges and mentor junior staff.