Senior Software Engineer

ICBD Holdings

. Design, develop, test, deploy, and maintain scalable Python services, APIs, and data pipelines across Databricks and Postgres .

Posted 9/18/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python development, including experience with LLM-based applications and strong SQL skills for PostgreSQL. Capable of leading software architecture design, optimizing Databricks workloads, and ensuring adherence to software development standards.

Highest-signal resume keywords

Advanced Python ProficiencyLLM-Based Application DevelopmentPostgreSQL Schema DesignDatabricks Workload OptimizationCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIPostgreSQLPySparkDelta LakeAPI DevelopmentAutomated TestingAsynchronous ProgrammingData PipelinesSQL

Soft Skills

Analytical SkillsProblem-SolvingEffective CommunicationMentoringAttention to Detail

Tools & Technologies

DatabricksGitAWSAzureGoogle Cloud

Industry Keywords

Software Development LifecycleInformation SecurityData PrivacyResponsible AIETL/ELT Patterns

Tech Stack

Tools & technologies

AWSAzureCloudETLPostgresPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Design, develop, test, deploy, and maintain scalable Python services, APIs, and data pipelines across Databricks and Postgres
Translate business and technical requirements into effective software and AI solutions, including build-versus-buy recommendations
Write clean, maintainable, efficient, and well-documented Python code
Build and maintain LLM-powered features, including prompt orchestration, retrieval-augmented generation, embeddings and vector search, evaluation harnesses, and safety guardrails
Design, tune, and maintain Postgres schemas, queries, indexes, and migrations
Develop and optimize Databricks workloads, including PySpark jobs, Delta Lake tables, workflows, and Unity Catalog governance
Troubleshoot and resolve application defects, data quality issues, query performance problems, and model output regressions
Lead code reviews and set engineering standards, documentation, and development best practices
Collaborate with Product, IT, Data & Analytics, AI & Engineering, and other business teams
Lead software and data architecture design and implementation, including LLM integration patterns and service boundaries
Develop and maintain automated tests and LLM evaluation suites
Support deployments, releases, upgrades, CI/CD, and ongoing production operations
Monitor and optimize performance, scalability, security, reliability, and inference and compute spend
Improve applications, data models, development processes, and system integrations
Maintain technical documentation for applications, pipelines, data models, prompts, and system configurations
Follow information security, data privacy, access control, responsible AI, and software development standards
Mentor engineers and stay current on emerging technologies, development frameworks, and model capabilities
Perform other duties and participate in special projects as assigned

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field preferred; equivalent relevant experience may be considered
5+ years of professional software development or software engineering experience, including substantial hands-on Python development
Advanced proficiency in Python and its modern ecosystem, such as FastAPI or similar frameworks, asynchronous programming, packaging, and testing tools
Hands-on experience building LLM-based applications, including prompt engineering, retrieval-augmented generation, embeddings and vector stores, tool/function calling, and output evaluation
Strong SQL skills and production experience with PostgreSQL, including schema design, query tuning, indexing, and migrations
Experience with Databricks, including PySpark, Delta Lake, notebooks and jobs, and workspace or Unity Catalog administration
Experience developing and integrating APIs, web services, applications, and backend systems at production scale
Experience with source control, code review, and collaborative development workflows using Git
Understanding of software development lifecycle methodologies, CI/CD pipelines, automated testing, containerization, and modern deployment practices
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and with data modeling and ETL/ELT patterns preferred
Strong analytical, troubleshooting, and problem-solving skills
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders, mentor junior engineers, and manage multiple priorities independently
Strong attention to detail and commitment to developing reliable, secure, maintainable, and cost-efficient solutions
ICBD participates in the U.S. Department of Homeland Security E-Verify program

Benefits

Comp & perks

21 paid days off (15 PTO days increasing with tenure, plus 6 paid holidays)
Flexible Spending Account (FSA) and Health Savings Account (HSA) options
Medical, dental, vision, long-term disability, life insurance, AD&D insurance, and GAP Plan (TransAmerica)
Generous 401(k) with up to 6% employer match
100% employer-paid maternity/paternity leave for up to 5 weeks
EAP (unlimited counseling 24/7)
BeyondMed (discounts on wellness and elective healthcare services)
PerkSpot (discounts on top brands)
Pet Insurance (Nationwide)
On the GoGa wellbeing hub