• Implement new features with clean, testable, and well-documented code. • Maintain production systems by monitoring, diagnosing, and resolving incidents. • Refactor and modernize legacy code, reducing technical debt incrementally and safely. • Investigate and fix bugs, identify root causes, and prevent regressions. • Write and maintain automated tests (unit, integration, and end-to-end) as part of the development workflow. • Participate in code reviews, giving and receiving technical feedback constructively. • Use AI-assisted IDEs (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate daily work, always critically reviewing generated content. • Manage your own work in a task management tool (e.g., Jira, Trello, Azure DevOps, Linear), keeping status and estimates up to date. • Collaborate with Product, Design, and other teams to refine requirements and propose solutions. • Contribute to the continuous improvement of processes, standards, and architecture.

• Lead the engineering side of the Partner Experience organization • Own team health, technical strategy, and delivery velocity across both teams • Drive alignment from discovery through delivery • Champion AI-native engineering as an operating model • Learn about Niche and meet various team members • Assess the organization's engineering health and technical priorities • Own the engineering roadmap and establish a strong operating rhythm with product leads

Opportunity Overview: This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We’re seeking a Software Engineer ll to join our Data Platform team and contribute to building scalable, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for someone who enjoys working collaboratively across engineering and analytics teams and takes pride in delivering clean, well-documented, and production-ready data solutions. As a Software Engineer ll, you’ll play a key role in our end-to-end data lifecycle—from ingestion to transformation to integration—enabling a high-trust data environment that supports real-time and batch workflows across domains. You’ll work with modern data tools and patterns, contribute to engineering standards, and help ensure platform performance, reliability, and scalability. What you’ll do: - Design, build, and maintain scalable data pipelines for ingesting, transforming, and curating data from internal and external sources - Implement and enforce schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs - Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products that meet business needs - Write clean, testable code in Python and SQL, following best practices in version control, CI/CD, and documentation - Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet - Participate in on-call rotations to support critical platform jobs and minimize operational disruptions - Contribute to a culture of engineering excellence through code reviews, documentation, and knowledge sharing What you’ll need: - 2-3 years of experience in data engineering or software development with a strong focus on data infrastructure - Bachelor’s degree in Computer Science, Engineering, or a related discipline—or equivalent practical experience - Proficiency in Python and SQL, with experience applying software engineering principles to data workflows - Track record of building and maintaining production grade systems using APIs - Experience working with cloud-native data tools such as Airflow, dbt, AWS (EMR, Athena, S3), and modern table formats (e.g., Iceberg, Parquet) - Ability to collaborate effectively across technical and non-technical teams in a fast-paced, agile environment, plus - Excellent problem-solving skills and a growth-oriented mindset, plus - Healthcare data experience (e.g., claims, clinical, EHR), plus - Familiarity with streaming pipeline (eg: Kafka), plus - Familiarity with CI/CD pipelines, testing frameworks, and observability practices for data systems, plus Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flex Time Off + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $110,000 to $120,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Live Design - Project Overview with Team - Cross-Functional *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote

• Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs