Job Title: Senior Software Engineer Company Name: Inmar Intelligence Job Url: https://simplify.jobs/jobs?query=software+engineer&state=Remote+in+USA&experience=Mid+Level%3BSenior&mostRecent=true&jobId=88ed6b57-d8d3-4e8d-a0df-cd843a3a8051&jobType=Full-Time%3BPart-Time%3BContract&workArrangement=Remote Job Description: Senior Software Engineer Posted on 4/4/2026 Unlock job analytics with Simplify+ Inmar Intelligence 1,001-5,000 employees Data analytics and incentive management solutions Compensation Overview $91.4k - $152.3k/yr + Annual discretionary bonuses + Equity grants + Sign-on bonuses + Deferred compensation opportunities Senior, Expert No H1B Sponsorship Remote in USA + 5 more More locations: Cambridge, MA, USA | Boston, MA, USA | Chicago, IL, USA | Winston-Salem, NC, USA | New York, NY, USA Remote Remote-eligible; multiple U.S. office locations listed. Category Software Engineering (1) Backend Engineering Required Skills Skills that you prefer have been highlighted Kubernetes Python SQL Docker REST APIs LLM MLOps BigQuery Machine Learning Observability DevOps Get referrals → You have ways to get a Inmar Intelligence referral from your network. Applications through a referral are 3x more likely to get an interview! History Summary Full Job Posting You match the following Inmar Intelligence's candidate preferences Employers are more likely to interview you if you match these preferences: Degree Experience You have ways to get a Inmar Intelligence referral from your network. Get referrals → Requirements 5+ years of experience in software or data engineering Strong proficiency in BigQuery, Python and SQL Experience delivering data products, including APIs, services, or application- facing datasets Working knowledge of machine learning or AI concepts, such as feature engineering, model inputs/outputs, or GenAI usage Experience working on cloud-based data or analytics platforms Solid understanding of data modeling, data quality, and performance considerations Strong communication skills and ability to collaborate across teams Responsibilities Design and deliver data products that make analytics, insights, and ML outputs easily consumable by downstream applications and users Build and maintain data access layers, including views, services, and APIs that expose curated datasets in a secure and scalable manner Develop and support RESTful APIs and service endpoints for data retrieval, integrations, and internal platform use cases Ensure data products meet standards for reliability, performance, documentation, and usability Integrate ML and AI outputs into data products and services, enabling downstream consumption by applications and analytics tools Support feature delivery, inference outputs, and GenAI-driven workflows in collaboration with data science and analytics teams Apply working knowledge of machine learning, NLP, and GenAI concepts, including prompt engineering, to real-world data product use cases Contribute to MLOps patterns, such as model input/output handling, monitoring hooks, and versioned data access Collaborate with data platform and pipeline teams to ensure upstream data is well-modeled, reliable, and ready for consumption Optimize data access patterns across BigQuery, Iceberg, and Trino/Starburst for performance and cost efficiency Implement authentication, authorization, and governance controls for data services and APIs Work closely with product managers and stakeholders to translate business needs into well-defined data products Break down moderately complex problems and contribute to design and architectural discussions Communicate technical decisions clearly to both technical and non-technical audiences Write clean, maintainable, and well-tested code; participate in code reviews and design reviews Mentor junior engineers and help uphold engineering best practices Contribute to improvements in CI/CD, testing, observability, and developer workflows Desired Qualifications Experience building or consuming RESTful APIs or microservices Hands-on exposure to ML/AI workflows, including model integration or prompt engineering Familiarity with CI/CD, infrastructure as code, or clou