Software Engineer 4

Job Description Summary

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The Software Engineer 4 is a technical leader responsible for driving technically challenging projects while maintaining the architectural direction, scalability, and engineering excellence of our backend systems, data infrastructure, and applications across multiple engineering teams. This role requires a combination of deep expertise in core data and service technologies and a broad knowledge of the wider technology landscape to evaluate, select, and integrate the best tools for our evolving systems.

The Software Engineer 4 will tackle complex, ambiguous technical challenges. You will partner closely with engineering leadership, product, analytics, and data governance to translate macro business goals into robust, future-proof technical strategies. As a cross-team catalyst, you will not only raise the bar for engineering standards through design and code reviews but will also actively sponsor, mentor, and level up senior engineers across the organization.

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How will you make an impact & Requirements

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Key Responsibilities

• Cross-Team Technical Leadership: Lead technical execution of multi-team initiatives, ensuring alignment, system interoperability, and long-term maintainability.
• Technology Evaluation & Strategy: Leverage a broad knowledge of emerging and alternative technologies to conduct rigorous build-vs-buy analyses and trade-off evaluations, guiding the organization on which technologies to adopt for future system needs.
• Core Infrastructure Excellence: Apply deep expertise to design, optimize, and maintain high-throughput data backends, large-scale data processing pipelines, search services, and responsive frontend workflows.
• Data Stewardship: Partner with data governance and analytics to architect compliant, secure, and highly reliable data models and migration strategies for business-critical datasets.
• Cross-Functional Alignment: Act as a technical bridge between product, UX, quality engineering (QE), and data governance to ensure systems are inherently verifiable, traceable, and user-centric.
• Mentorship & Culture: Sponsor and mentor Senior (SE III) and mid-level engineers, cultivate a culture of technical curiosity, and lead comprehensive design and code reviews that elevate the entire engineering organization.

Education

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Applied Mathematics, or a closely related technical field.

Experience

• 10 or more years (or 8+ years with a proven track record of staff-level impact) of progressive software engineering experience, with a significant focus on designing distributed systems, large-scale data infrastructure, and cross-team platform architectures.

Special Requirements

Should have professional experience with the following:

• Architecting for Scale: Designing and scaling highly distributed backend systems, enterprise data pipelines, or machine learning production workflows across an organization.
• Tech Evaluation: Evaluating, prototyping, and introducing new technologies/frameworks into an existing ecosystem, weighing long-term architectural trade-offs.
• Deep Distributed Compute: Optimization of large-scale data processing frameworks (e.g., Spark, distributed SQL engines) and complex search indices.
• Cross-Team Execution: Leading the technical delivery of projects that span multiple engineering teams, from initial requirements to production rollout.
• Cloud & Orchestration Strategy: Designing enterprise-grade cloud architecture (AWS, GCP) and container orchestration (Kubernetes) at scale.
• Data Modeling & Compliance: Designing robust data models and zero-downtime migration plans for highly regulated, business-critical production data platforms.
• Engineering Advocacy: Defining organizational standards for code quality, testing frameworks, and system observability, as well as formally mentoring senior engineering staff.
• Modern Orchestration & Observability: Expert knowledge of pipeline orchestration and lineage tools (e.g., Dagster, Airflow) and/or LLM/data observability platforms (e.g., Langfuse).

Preferred Qualifications

• Domain Expertise: Advanced experience handling complex, regulated datasets such as healthcare data (provider rosters, claims, eligibility records).
• Polyglot Data Architecture: Deep experience optimizing hybrid data storage strategies using cloud warehouses (Snowflake, BigQuery), transactional databases (MySQL, Postgres), and search engines (Elasticsearch).
• Infrastructure as Code: Proven experience defining infrastructure-as-code paradigms using Terraform and establishing advanced GitLab CI/CD (or similar) deployment patterns.

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Compensation:

$119,312.00

to

$178,968.00