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IAMUS

Software Engineer

IAMUS

. Design and develop Python-based components for the core agentic platform .

Posted 10/26/2026full-timeColumbia • Maryland • United StatesSeniorLead💰 $187,000 - $243,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python Backend Development, Kubernetes Deployment, and API Design, with a strong focus on integrating AI technologies and ensuring data privacy. Proven ability to lead engineering teams, mentor peers, and manage complex projects under tight deadlines.

Highest-signal resume keywords
Python Backend DevelopmentKubernetes DeploymentAPI DesignAI IntegrationTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonKubernetesAPI DesignRESTful Web ServicesMicroservices ArchitecturePrompt EngineeringConfiguration ManagementSQLNoSQLBig Data Platforms
Soft Skills
MentorshipCollaborationProblem-SolvingAdaptabilityLeadership
Tools & Technologies
GitCI/CD PipelinesDockerLinux Command LineAWSAzureNiFiKafkaLangChainLlamaIndex
Certifications & Qualifications
U.S. Government Security ClearanceActive Secret ClearanceTop Secret Clearance
Industry Keywords
AI SkillsData PrivacyMicroservicesContainerized WorkloadsAI ObservabilitySemantic CachingVector DatabasesHybrid EnvironmentFunction-CallingRetrieval-Augmented Generation

Tech Stack

Tools & technologies
AWSAzureDockerJavaKafkaKubernetesLinuxMicroservicesNoSQLPythonSpringSQL

About the role

Key responsibilities & impact
  • Design and develop Python-based components for the core agentic platform
  • Deploy, manage, and scale applications within Kubernetes environments
  • Build Model Context Protocol (MCP) servers and reusable AI skills enabling agents to interact safely with databases, microservices, and external APIs
  • Collaborate with cross-functional teams to expose Java-based APIs to AI agents
  • Implement enterprise AI guardrails for data privacy, sensitive data scrubbing, prompt injection defenses, and output validation
  • Perform testing, including automated testing pipelines for non-deterministic AI outputs
  • Troubleshoot issues and work under pressure across multiple deadlines
  • Transition between hands-on execution and team guidance
  • Provide mentorship and team leadership
  • Perform other duties as assigned

Requirements

What you’ll need
  • Must obtain and maintain a U.S. Government Security Clearance; not required on day one
  • U.S. Citizenship required
  • 9 years of experience in Software Engineering with a strong focus on Python backend development and a Bachelor's in a related field; or 7 years of relevant experience with a Master's in a related field; or High School Diploma or equivalent and 13 years of relevant experience
  • Hands-on experience deploying and managing containerized workloads in Kubernetes (K8s)
  • Hands-on experience integrating commercial LLM APIs or open-source models into production backend applications
  • Understanding of prompt engineering, agents, function-calling/tool-use, and Retrieval-Augmented Generation (RAG)
  • Experience designing enterprise APIs, RESTful web services, and microservices architecture
  • Experience with configuration management tools such as Git, CI/CD pipelines, and Docker
  • Comfortable working on a Linux command line
  • Experience serving as a tech lead, mentor, or manager for engineering teams
  • Must work in a hybrid environment, averaging 1–2 days per week at the Columbia, MD office
  • Flexibility to adapt to schedule changes as needed
  • Preferred: Active Secret or Top Secret clearance
  • Preferred: Familiarity with Java frameworks such as Spring or Java-based software capabilities
  • Preferred: Familiarity with LangChain, LlamaIndex, CrewAI, or AutoGen
  • Preferred: Experience with vector databases, semantic caching, and AI observability tools
  • Preferred: Experience with NiFi, Kafka, AWS, or Azure
  • Preferred: Experience with SQL, distributed, or NoSQL databases
  • Preferred: Big Data Platforms or Data Lake architectures familiarity

Benefits

Comp & perks
  • Health insurance
  • Life insurance
  • Disability insurance
  • Financial and retirement plans
  • Paid leave
  • Professional development
  • Tuition assistance
  • Dependent care