Summary
✨ AI‑Generated
A global technology organization is seeking a backend engineer to develop integration solutions and data services supporting advanced AI initiatives. The role involves building reliable platforms, governance frameworks, and scalable systems in a secure environment.
Highlights
Opportunity to build large-scale data platforms and AI infrastructure in a secure environment while working on challenging engineering problems with modern technologies.
Description
Innodata (Nasdaq: INOD) is a global data engineering company.
We believe that data and Artificial Intelligence (AI) are inextricably linked.
Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.
We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters.
In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About The Program
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work.
Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment.
Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About This Role
As the Backend/Integration Engineer, you'll build the connective tissue of the platform.
You'll develop the data services storefront's backend, stand up ingest pipelines, and implement reliable write-back into our data lakehouse so results flow cleanly across systems.
Working alongside the Solution Architect, you'll make sure the platform's components integrate securely and perform under real workloads in a federal (IL4) environment.
It's a strong fit for a backend engineer who likes owning integrations and turning architecture into working plumbing.
Key Responsibilities
Implement Databricks REST API write-back for labeled outputs, DataCard provenance records, and synthetic content outputsBuild and validate the Duality back-end integration: catalog intake form configuration, parameter translation to Duality generation API, async job lifecycle management (submission, tracking, retry, completion), output handlingImplement ServiceNow REST integration for white-glove routing intake pathBuild and maintain storefront backend services (API layer between frontend UI and platform components)Implement DataCard write-back path in coordination with Solution ArchitectDesign and maintain async job queue management and retry logic across all integration surfacesStructure output metadata for DataCard provenance records per DoD distribution statement requirements
Must-Have Qualifications
Bachelor's degree in Computer Science, Software Engineering, or related field required.
Equivalent experience may substitute for degree on a 2-for-1 basis.6+ years total professional experience, 4+ years backend or API integration engineeringPython backend development — strong, production-gradeREST API integration with async job lifecycle patterns (submission, polling, retry, webhook handling)Databricks REST API or strong Spark/Databricks platform familiarityJSON schema design and structured metadata handlingActive Secret clearance with TS/SCI eligibility
Nice-to-Have Qualifications
ServiceNow REST API integration experienceFederal program API integration backgroundZenML or ML orchestration pipeline familiarityReact or modern frontend experience for storefront skeleton support
The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.
Note To Candidates
The Databricks write-back and Duality integration are the two highest-complexity tasks in Phase B.
Candidates should be prepared to discuss async API integration patterns and their approach to retry logic and error handling in federal-data environments during the interview.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers.
Innodata will never ask for payment, banking details, or sensitive personal information during the application process.
To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.