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Software Engineer

💼 Full-time🗓 2026-06-24

Core

Designing and building the infrastructure and APIs that power an analysis engine for extracting insights from complex human text data.

Role type

Backend Software Engineer (Infrastructure & APIs)

Builds

Scalable data ingestion systems, APIs, and the engineering foundation for an AI/ML platform.

Domain

Enterprise AI / NLP / Cloud Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Python, FastAPI, React, AWS (Networking, IAM, ECS/EKS, Lambda, RDS), DevOps (CI/CD, Terraform, containerization), System Architecture, Data Modeling

Preferred skills

Enterprise integration, Production monitoring/logging (Datadog, CloudWatch, Grafana), ML pipeline infrastructure, Early-stage startup experience

Technologies

Python, FastAPI, React, AWS, Terraform, ECS, EKS, Lambda, RDS, Datadog, CloudWatch, Grafana

Responsibilities

Design systems to ingest and structure massive volumes of data, define architecture and scaling patterns, collaborate with founding team and enterprise clients, configure infrastructure and application code.

Seniority

Mid-Senior, hands-on IC

Rewrite
## About the role We're hiring an engineer to build the infrastructure and APIs that power WholeSum's analysis engine. You'll design the systems that ingest, structure, and serve insights from massive volumes of data. You'll define the architecture, data models, and scaling patterns that make our platform fast, reliable, and auditable. You'll work directly with our founding engineer and our CTO, and collaborate with enterprise clients to ensure our systems are robust, scalable, and genuinely useful. ## About the company We're building a statistically rigorous platform for extracting richer insights and deeper signals from complex human text data. Our architecture combines statistical frameworks with machine learning and large language models, overcoming human biases and ensuring reproducible results and consistent quality at scale. Earlier this year, we closed a $1.3m pre-seed round led by a specialist AI fund. We're already working with major pharmaceutical and finance groups. Now we're accelerating, scaling enterprise deployments and building the engineering foundation for what comes next. As one of our early hires, you'll help shape WholeSum's technology, culture, and future. For too long, organisations have settled for glorified word clouds, crude sentiment tracking or unreliable AI summaries. We're changing that, making complex human data an asset and not a burden. This is a hard, meaningful problem – come help us solve it. ## Responsibilities - Build the infrastructure and APIs that power WholeSum's analysis engine. - Design the systems that ingest, structure, and serve insights from massive volumes of data. - Define the architecture, data models, and scaling patterns that make our platform fast, reliable, and auditable. - Work directly with the founding engineer and the CTO. - Collaborate with enterprise clients to ensure systems are robust, scalable, and genuinely useful. ## Requirements - Several years of professional software engineering experience and comfort owning projects end-to-end. - A generalist mindset, happy writing application code one day and configuring infrastructure the next. - Strong experience with the core stack: Python + FastAPI, React and AWS. - Deep AWS experience including networking, IAM, ECS/EKS, Lambda, RDS, or similar managed services. - Hands-on experience with DevOps practices including CI/CD, Infrastructure as Code (Terraform), containerisation, and cloud deployment patterns. - Initiative to flag problems early and propose solutions rather than waiting to be told what to do. - A focus on building products that are secure, observable, and actually used. ## Nice to have - Enterprise integration experience and collaboration with platform-specific contractors. - Experience with monitoring, logging, and alerting in production environments (e.g. Datadog, CloudWatch, Grafana). - Familiarity with working alongside ML/data pipelines and the infrastructure challenges they bring. - Experience building in early-stage or startup environments where scope is broad and ambiguity is high. - Interest in AI reproducibility and auditability. ## What we offer - The opportunity to help shape WholeSum's technology, culture, and future as one of our early hires.
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