[Hiring] Senior Software Engineer @ICBD

Role Description

The Senior Software Engineer is responsible for designing, developing, testing, deploying, and maintaining Python-based applications, data pipelines, and LLM-powered solutions that support the organization’s business operations and strategic objectives. This role partners with technical and cross-functional teams to translate business requirements into reliable, scalable, and secure solutions built on Postgres and Databricks.

The Senior Software Engineer leads work across the software development lifecycle — solution design, development, testing, implementation, troubleshooting, and ongoing optimization — and serves as a technical mentor to other engineers, setting standards for code quality, data modeling, and the responsible use of generative AI.

Qualifications

• 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.

Requirements

• 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 in accordance with established development standards.
• 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 supporting both transactional and analytical workloads.
• Develop and optimize Databricks workloads, including PySpark jobs, Delta Lake tables, workflows, and Unity Catalog governance.
• Troubleshoot, debug, 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 for the team.
• Collaborate with Product, IT, Data & Analytics, AI & Engineering, and other business teams to develop and enhance technology solutions.
• Lead the design and implementation of software and data architecture, including LLM integration patterns and service boundaries.
• Develop and maintain automated tests and LLM evaluation suites to support application quality, reliability, and cost control.
• Support application deployments, releases, and upgrades, including CI/CD for Python services and Databricks assets, and ongoing production operations.
• Monitor and optimize application performance, scalability, security, reliability, and inference and compute spend.
• Identify opportunities to improve existing applications, data models, development processes, and system integrations.
• Maintain appropriate technical documentation for applications, pipelines, data models, prompts, and system configurations.
• Follow organizational standards related to information security, data privacy, access controls, responsible AI use, and software development.
• Mentor engineers and stay current on emerging technologies, development frameworks, and model capabilities.
• Perform other duties and participate in special projects as assigned.

Benefits

• 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), and On the GoGa wellbeing hub