Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Lead AI Engineer
Perficient
DALLAS, TX
Strong hands-on experience with Python, FastAPI, Google Cloud Platform (GCP), and Google ADK.
Added 15 mins ago
Artificial Intelligence and Machine Learning Engineer
RIVA Solutions, Inc.
United States
Hands-on experience building and running ML or LLM workloads on Databricks or a major cloud platform (AWS, Azure, or GCP). Examples: data pipelines in PySpark or notebooks, calling hosted…
Added 17 mins ago
MC
Principal Software Engineer, Foundry Agents - CoreAI
Microsoft Corporation
Redmond, WA
- $142,800 to $331,200 USD / year
As a senior engineer within Foundry Agents, you will help build and evolve large‑scale, cloud‑native systems that span the full lifecycle of advanced agentic applications - from secure…
Added 17 mins ago
Software Development Engineer, EC2 Nitro
Amazon
Seattle, WA
If you are an experienced software development engineer who is passionate about building the platform to support the world’s premier cloud computing environment, then this is the job for…
Added 17 mins ago
Software Development Engineer III, AAIS Mosaic Data Platform
Amazon
Seattle, WA
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the…
Added 17 mins ago
Sr Software Development Engineer, Aurora Serverless Control Plane
Amazon
Seattle, WA
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers…
Added 17 mins ago
Senior Software Development Engineer AWS Connect, Cascades, Amazon Connect
Amazon
Seattle, WA
We build backend services for Amazon Connect Amazon's cloud contact center platform used by thousands of organizations worldwide. Our customers range from small businesses to some of the…
Added 18 mins ago
Customer Success Engineer - Hashicorp
IBM
Seattle, WA
Proficiency and experience with concepts and technologies using software development, operations, security cloud, containers, and scheduling platform
Added 32 mins ago
Integration Engineer 4 - Mainframe DB2 DBA
Capital One
Riverwoods, IL
…passionate about marrying mainframe data systems with emerging cloud technologies to join our team. As an Integration Engineer , you’ll have the opportunity to be on the forefront of…
Added 33 mins ago
P
Forward Deployed Engineer
PRESHai
Tampa, FL
- $125,000 to $175,000 USD / year
…AI systems that ship in weeks, not quarters. You will be the engineer the client sees, the engineer who writes the code, and the engineer who owns the…
Added 33 mins ago
Agentic Software Engineer III
Deloitte
Chicago, IL
Experience working with at least one cloud platform such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Added 33 mins ago
Backend Software Engineer (Python or PHP) - Chicago - ONSITE 2X Week- FreeWheel
Comcast
Chicago, IL
…offer the most extensible and transparent advertising buying platform in the world, operating at a massive global scale. We don’t just operate a Demand Side Platform (DSP) – we are the…
Added 33 mins ago
Software Engineering Technical Leader - SRE
Cisco
Chicago, IL
…ensuring the reliability, scalability, and security of our cloud platforms. The broader team is composed of experienced engineers who value innovation and accountability. You will represent…
Added 33 mins ago
Full-stack Engineer 4, Enterprise Platform - Marketing Technology
Capital One
Chicago, IL · Riverwoods, IL
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Added 33 mins ago
Junior Backend Software Engineer (Python or PHP) - Chicago - ONSITE 2X Week- FreeWheel
Comcast
Chicago, IL
…offer the most extensible and transparent advertising buying platform in the world, operating at a massive global scale. We don’t just operate a Demand Side Platform (DSP) – we are the…
Added 50 mins ago
Platform Engineer
Paperless Parts
Boston, MA
…rotation - while building the foundation to advance toward Platform Engineer II and beyond. This role is perfect for early-career engineers who are passionate about cloud technologies and…
Added 1 hour ago
Cyber Full-Stack Software Engineer
Deloitte
Portland, OR
…next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern…
Added 1 hour ago
Senior Software Engineer - Java Cloud (Health100 Platform)
CVS Health
Remote, United States
Health100 is an AI‑native health technology platform that unifies pharmacies, providers, insurers, PBMs, and digital health solutions into a single, consumer‑focused ecosystem. Powered by…
Added 1 hour ago
Principal Data & AI Platform Engineer, DataOps
Teladoc Health Inc
PURCHASE, NY
…health happens.Summary of PositionAs a Principal Data & AI Platform Engineer, you will architect, build, and operationalize AI-augmented capabilities that make our data platform more…
Added 1 hour ago
Senior Quantum Information Engineer
IBM
Yorktown Heights, NY
We are seeking an experienced Senior Quantum Information Engineer to join our team. In this role, you will be part of our mission to implement the latest capabilities in Quantum Computing…
Added 1 hour ago
Confluent - Distributed Systems Software Engineer - WarpStream
IBM
Armonk, NY · POUGHKEEPSIE, NY
WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It’s delivered to customers as a BYOC-style offering. The…
Added 1 hour ago
Software AI Engineer / Robotics / Brooklyn
Kelly Services
Brooklyn, NY
As a Software Engineer, you’ll build the core software that powers an AI platform and autonomous laboratory systems. This is a generalist role spanning backend services, agent tools, data…
Added 1 hour ago
C
Principal Field Solution Engineer
Cognizant
New York, NY
- $200,000 to $250,000 USD / year
The Principal Field Solution Engineer (FSE) is the technical anchor of an enterprise platform deal - an intensely client-facing and market-facing role at the front line of our go-to-market…
Added 1 hour ago
Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )
Capital One
New York, NY
Architect & Scale: Drive end-to-end design and implementation of large-scale, cloud-native systems with high reliability, performance, and data design requirements. Partner with architects…
Added 1 hour ago
Lead Cloud Architect
Humana
New York, NY
We are seeking an experienced Senior Cloud Data Caching Platform Engineer with deep expertise in distributed caching technologies, automation, and software development. The ideal candidate…

Closed listing

Axiom

Software Engineer, Platform Infrastructure

South San Francisco, CA, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Posting language: English
Posted: Nov 2, 2026

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

Description:

Build the secure, reliable platform that powers Axiom’s scientific AI agents, experimental data pipelines, and products used by the largest pharmaceutical companies and AI labs in the world.

About Axiom:

Axiom’s mission is to eliminate unexpected drug toxicity and unlock an abundance of ultra safe medicines. We are starting with the liver, where toxicity remains a leading cause of drug failure. Our high-throughput human liver safety platform combines advanced human cell systems with imaging, transcriptomics, mass spectrometry, and drug metabolism measurements. Our AI agents integrate these data with chemical structure, human exposure, and thousands of clinical reference compounds to predict whether a drug will be toxic in humans, why, and how to make it safer.

We work with seven of the world’s top twenty pharmaceutical companies to design safety into molecules from the earliest stages. This applied work feeds directly into our partnerships with leading frontier AI labs, turning real discovery challenges and experimental feedback loops into scientific skill trees and reinforcement learning environments that train increasingly superhuman scientists. We then deploy these frontier models to make cancer therapies safer, unlock treatments for chronic diseases that demand exceptional safety, revive promising drugs abandoned because of toxicity, and much more.

Our ultimate ambition is to build a superhuman AI agent that predicts how a drug will behave across all major human organ systems before the first patient receives it. With insanely accurate safety predictions, we aim to enable rapid, high-throughput testing of novel drugs in humans with zero risk of toxicity. This is the key to unlocking an abundance of ultra safe, effective medicines.

What you will do:

Build and operate the shared infrastructure behind Axiom’s scientific data pipelines, AI agents, research workflows, and Translate product.
Own cloud infrastructure, compute, storage, databases, and networking, making systems reliable, secure, scalable, and cost-efficient.
Develop workflow orchestration that lets scientists, engineers, and agents run complex computational pipelines with clear dependencies, durable state, and recovery from failures.
Build secure execution environments for agents, with controlled access to scientific tools, models, and data, strict customer isolation, and resource and budget limits.
Make scientific results reproducible through data versioning, lineage, snapshots, and automated checks that catch stale inputs, inconsistent features, and incomplete outputs.
Build fast development environments, CI, and deployment systems that let people and agents ship changes confidently across development, staging, and production.
Own authentication, permissions, secrets, and workload identity across internal systems, customer workspaces, laboratory partners, and model providers.
Make systems observable through logs, metrics, traces, execution histories, and alerts that help people and agents investigate failures and verify results.
Manage database migrations, backups, and recovery, and resolve production issues across Axiom’s platform and infrastructure providers.
Work directly with scientists, ML researchers, and product engineers to remove operational bottlenecks and turn recurring manual work into reliable, self-service tools.

What we look for:

Exceptional software engineering ability and experience building reliable production systems, with depth in infrastructure, distributed systems, platform engineering, or developer tools.
Strong systems judgment. You simplify complex problems, choose clear abstractions, and build systems that remain understandable as they grow.
End-to-end ownership. You identify what matters, make progress without a detailed specification, and follow through from design to deployment and operation.
An instinct for reliability and correctness. You anticipate failure modes, make failures visible, and prevent silent errors from reaching scientific results or customers.
Strong security judgment. You understand permissions, credentials, isolation, and trust boundaries, and make secure workflows easy to use.
A talent for debugging across application code, databases, networks, cloud services, and execution environments.
Experience building with AI agents and a drive to make them effective users of infrastructure, tools, and data, with appropriate controls and verification.
Care for developer and scientist productivity. You notice recurring friction and replace manual work with dependable tools and automation.
Clear communication, intellectual curiosity, and the willingness to learn biology, chemistry, and ML to build better systems for scientific discovery.

Technical skills we value:

Python, SQL, asynchronous programming, APIs, and production backend systems.
AWS, Modal, Docker, Terraform, cloud networking, and infrastructure as code.
DuckDB/MotherDuck, Postgres, S3, Parquet, database migrations, backups, and recovery.
Workflow orchestration, dependency management, distributed execution, checkpointing, retries, and durable state.
Data versioning, lineage, reproducible pipelines, and automated consistency checks.
IAM, SSO, OAuth/OIDC, workload identity, secrets management, and customer isolation.
Agent execution environments, sandboxing, tool access, model APIs, and resource and budget controls.
CI/CD, GitHub Actions, isolated development environments, automated testing, and deployment strategies.
Observability, including structured logs, metrics, tracing, alerting, Datadog, and production debugging.
TypeScript, SvelteKit, Vercel, and internal developer tools are a plus.

About employer

More about this job

Skills

Research
Workflow
Manage database
ML
Debugging
Communication skills
Python
SQL
AWS
Docker
IBM Terraform
Infrastructure as code
Identity and access management
CI/CD
GitHub
Test automation
Datadog
TypeScript

Report this job