Remote jobs in the United States

25+ jobs

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Added 2 hours ago
Infrastructure Engineer, Enterprise AI
Wonder Group, INC
Remote, United States
Wonder’s Enterprise Technology team is hiring an Infrastructure Engineer to establish and scale the hosting, deployment, and integration foundations that support builders of all technical…
Added 2 hours ago
Technical Services Engineer
Simr
Remote, United States
…resolve complex issues, respond to service alerts, optimize reliability and efficiency, and escalate potential problems as…
Added 3 hours ago
Senior DBA -1 (Database Reliability Engineer)
LexisNexis Risk Solutions FL Inc. Company
Remote, United States
…support mission-critical platforms and continuously improve reliability, performance, and operational…
Added 4 hours ago
I
Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing…
Added 5 hours ago
Principal Product Security Engineer
Cribl
Remote, United States
Cribl is looking for a Principal Product Security Engineer to serve as a hands-on technical authority at the intersection of application, cloud, and FedRAMP environment security. You will…
Added 5 hours ago
V
Senior QA/SDET
Vouched
Remote, United States
- $180,000 to $210,000 USD / year
Run on a modern cloud infrastructure powered by automated integration and unit testing, provisioning, deployments, monitoring, and notifications
Added 5 hours ago
Senior Analytics Engineer
Empower Pharmacy
Remote, United States
The Senior Analytics Engineer builds reliable data solutions that improve decision-making, operational efficiency, and business performance across Empower. Operating in a hyper-growth,…
Added 5 hours ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
…ensuring reproducibility, observability, and production-grade…
Added 5 hours ago
C
Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
- Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.
Added 7 hours ago
SRE Security Engineer
OPEN OPENLANE US Inc
Remote, United States
An SRE Security Engineer who takes ownership of security findings from detection through resolution - remediating misconfigurations, vulnerabilities, and access issues across AWS, Azure,…
Added 7 hours ago
IG
Data Platform Architect- REMOTE
Insight Global
Remote, United States
- $150,000 USD / year
Proven experience as a Data Platform Administrator, Azure Platform Administrator, Databricks Administrator, or Platform Architect, not solely a data engineer or application developer.
Added 8 hours ago
Data Engineer
LEIDOS, INC.
Remote, United States
The Homeland Sector at Leidos currently has an opening for a Data Engineer with a strong background in data analytics to support an exciting DHS software development program. The Data…
Added 8 hours ago
Senior Data Engineer
LEIDOS, INC.
Remote, United States
Leidos is seeking a Senior Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program.
Added 8 hours ago
Engineering Manager
Fortive
Remote, United States
ServiceChannel is looking for an experienced Software Engineer and technical leader to help guide a globally distributed team building and evolving our SaaS platform.
Added 8 hours ago
Engineering Manager
Fortive
Remote, United States
ServiceChannel is looking for an experienced software engineer and technical leader to help guide a globally distributed team building and evolving our SaaS platform.
Added 8 hours ago
Senior ML Engineer
Relae
Remote, United States
Relae is seeking an AI/ML Engineer for our Power, Data and Innovation team. This role will be responsible for designing, building, training, and maintaining machine learning models for…
Added 9 hours ago
Senior Software Engineer, Internal Platforms
Mosaic Pediatric Therapy
Remote, United States
Own production reliability. Put deployment pipelines, environment management, monitoring, alerting, and incident response in place across internal systems. Debug production issues and run…
Added 9 hours ago
DevOps Engineer
Robert Half
Remote, United States
We are seeking a motivated and technically skilled DevOps Engineer to join a growing software development organization. This is an exciting opportunity to play a key role in modernizing…
Added 9 hours ago
A
Head of Platform & Infrastructure Engineering
Ashby
Remote, United States
- $340,000 to $400,000 USD / year
…hire an Engineering leader responsible for performance and reliability, and for building out the team that ensures those. Hopefully, that’s…
Added 10 hours ago
Data Engineer and Insights Analyst
Adept Consulting Services, Inc.
Remote, United States
Adept COnsulting Services is seeking a Data Engineer & Insights Analyst to build reliable data systems and turn complex information into insights that support business operations and…
Added 10 hours ago
IG
REMOTE ML Ops Engineer
Insight Global
Remote, United States
- From $71 USD / hour
…ensuring reliable model performance through automation and monitoring. The MLOps Engineer will work closely with data scientists, AI engineers, and platform teams to create the…
Added 10 hours ago
Senior Production Support Engineer (8 am - 5 pm ET)
Pindrop
Remote, United States
We are hiring a Senior Production Support Engineer to serve as a technical expert across Pindrop's platform, with a strong focus on API integrations, complex troubleshooting, and production…
Added 10 hours ago
Senior Principal Embedded Engineer, AI Solutions
Autodesk
Remote, United States
Autodesk Technical Advisory is seeking a highly technical and customer-focused Senior Principal Embedded Engineer, AI Solutions to join our new Embedded Engineering (forward-deployed…
Added 12 hours ago
Senior Software Engineer (Institutional, USDC)
Coinbase
Remote, United States
Drive engineering excellence by improving developer tooling, testing infrastructure, monitoring, and operational reliability across financing systems.
Added 12 hours ago
Graduate – Digital – Data & AI and Digital Engineering – Houston
BP Corporation N.A., Inc.
Remote, United States
Digital engineering: We have the deep technical expertise to plan, architect, build, engineer, operate, and maintain our digital estate. This includes:

Memory Bridge

Sr. Backend Engineer

Remote, United States

IRR 800,000,000 to IRR 1,200,000,000 IRR / year

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Job details

Pay: IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Experience: 4–6+ years of experience building robust backend systems
Posting language: English

Original job description

ما به سراغ یکی از چالش‌برانگیزترین مسائل هوش مصنوعی رفته‌ایم: اینکه چطور می‌توان با کمترین خدشه‌ به حریم خصوصی کاربران، حافظه‌ای بی‌نقص برای مدل‌های زبانی بزرگ فراهم کرد. اگر شما توسعه‌دهنده‌ی بک‌اندی هستید که عاشق طراحی سیستم‌های ماژولار، سریع، و قابل‌اعتمادید، و دلتان می‌خواهد کدی بنویسید که در دل یک محصول واقعی زندگی می‌کند، ما مشتاق آشنایی با شما هستیم. ما به‌دنبال کسی هستیم که هم از معماری داده لذت ببرد، هم بتواند با تیم ماشین لرنینگ همکاری نزدیک داشته باشد، و هم وقتی لازم است خودش تصمیم بگیرد و جلو برود.

At Memory Bridge, we're tackling one of the hardest problems in AI: giving large language models perfect memory while preserving user privacy. We're looking for an exceptional Backend Developer who understands that building a real-time memory layer for AI isn't just about connecting APIs - it's about architecting systems that can handle personal memories with low latency while maintaining bulletproof privacy guarantees. You'll design and build the infrastructure that powers our multi-tier memory system, privacy enforcement layer, and cross-platform integrations. This is a rare opportunity to join our team as the founding backend engineer, where your architectural decisions will directly shape how AI systems store, protect, and retrieve human memories. If you're a systems thinker who gets excited about distributed storage, real-time data pipelines, and privacy-first architecture, we should talk.

About You

The ideal candidate has built production backend systems that handle sensitive user data, understanding the delicate balance between performance and privacy. You've architected APIs that serve real-time requests, designed data models that scale, and implemented security measures that protect user information by default.
You're comfortable working across the stack when needed - from optimizing database queries to configuring deployment pipelines. You understand that in a startup, backend engineering means owning the full lifecycle of your services.
You thrive in collaborative environments and can work effectively with ML engineers to ensure smooth integration between backend services and ML pipelines.
You understand when to introduce complexity and when to keep things lean
You like working in small teams where decisions move fast and ownership is shared.
You love building resilient APIs with proper retries, circuit breakers, and fallback strategies.

Key Responsibilities

Design and implement the core backend architecture supporting multi-tier memory storage (working, episodic, semantic), with appropriate data models and access patterns for each tier
Build the privacy enforcement layer that ensures memory filtering happens before retrieval, implementing user-defined trust tiers and data sensitivity classifications with practical security measures
Develop high-performance APIs that handle real-time prompt augmentation, including intelligent caching strategies and query optimization
Architect secure multi-tenant data isolation ensuring one user's memories never leak to another, using proven patterns and appropriate encryption
Implement robust integration pipelines for LLM providers (OpenAI, Anthropic, etc.) with proper error handling, retry logic, and graceful degradation
Collaborate closely with the ML engineer on the hybrid retrieval system, providing backend support for vector search, keyword search, and graph queries
Design the cross-platform synchronization system that keeps memory consistent across browser extensions and desktop applications
Set up monitoring, logging, and alerting systems to ensure production reliability - you'll own what you build
Work with PM to translate product requirements into technical architecture that balances features with system constraints
Own deployment pipeline and basic infrastructure

Requirements (Must-haves)

4–6+ years of experience building robust backend systems
Expert-level Python development with strong architectural pattern
Deep understanding of asynchronous programming patterns and event-driven architectures
Proven ability to design and operate scalable RESTful APIs with proper versioning and documentation
Advanced PostgreSQL skills (query optimization, indexing strategies, understanding of ACID properties)
Experience with MongoDB or similar document stores for flexible data structures
Practical security knowledge: implementing authentication (JWT/OAuth), encryption at rest and in transit, and secure coding practices
Experience with Redis or similar caching solutions for performance optimization
Solid understanding of message queues for async processing
Strong testing practices across unit, integration, and end-to-end testing
Proficiency with Docker for containerized development and deployment
Experience with CI/CD pipelines and automated deployment processes
Comfort with owning production systems and debugging complex issues
Experience with Infrastructure as Code (Terraform)

Nice-to-Have Skills

Direct experience with LLM provider APIs and their quirks
Background in building memory systems, caching layers, or real-time data pipelines
Experience with observability platforms (Datadog, Prometheus/Grafana)
Knowledge of event streaming architectures
Experience with GitHub Actions for CI/CD automation
Basic understanding of ML concepts to better collaborate with ML engineers
Experience with browser extension backends

Tech Stack & Tools Core

Python – Primary backend language for agentic services
FastAPI – Our choice for HTTP server
Git/GitHub – Version control and collaboration
GitHub Actions – CI/CD automation and deployment pipelines

Databases & Caching

PostgreSQL – Primary database for user data and relational queries
MongoDB – Document store for flexible memory structures
Redis – Caching layer and session management
Vector database integration – Supporting infrastructure for ML features

Messaging & Integration

RabbitMQ or Kafka – For async processing and event-driven architecture
REST APIs – Primary integration pattern

Infrastructure & DevOps

Docker & Docker Compose – Containerization and local development
Basic cloud deployment – Scripted deployments, not over-engineered
Monitoring basics – Logging, metrics, and alerting (specific tools flexible)

Security & Integration

Authentication – JWT and OAuth 2.0 basics
HTTPS/TLS – Standard encryption in transit
Environment-based secrets management – Not necessarily a complex vault system
Rate limiting – Basic protection against abuse

•

How To Apply At Memory Bridge, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don't exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the updated resume is essential. Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process. Memory Bridge is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Memory Bridge does not discriminate based on someone's identity in any aspect of hiring or employment, as required by law and in line with our commitment to Diversity, Inclusion, Belonging, and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Memory Bridge will consider all qualified applicants, including those with criminal histories, consistent with applicable laws. The anticipated application window is 30 days from the date the job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled. How We Work We are a remote-native company, intentionally designed for deep work and focused execution. We hire the best minds, wherever they are, and empower them to solve some of the hardest problems in AI. Our culture thrives on asynchronous communication, radical transparency, and a commitment to sustainable performance - not burnout. If you're obsessed with building the infrastructure layer that will power the future of personalized AI and want to solve hard problems at the intersection of performance, privacy, and scale, we want to hear from you.

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More about this job

Skills

Data models
ML
Product comprehension
Python
API development
Documentation
PostgreSQL
MongoDB
Redis
Docker
CI/CD
Debugging
Infrastructure as code
IBM Terraform
Datadog
Prometheus
Grafana
GitHub
Apache HTTP Server
Git
Collaboration
RabbitMQ
Apache Kafka
DevOps

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