Remote jobs in the United States

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Added 1 min ago
Technical Account Manager (all genders)
ABOUT YOU SE & Co. KG
Remote, United States
Act as trusted advisor for platform usage, integration best practices, and architecture decisions
Added 4 mins ago
Staff Platform Engineer
Jobgether
Remote, United States
As a Staff Platform Engineer, you will play a pivotal role in shaping the infrastructure and developer experience that power a growing engineering organization. You will lead high-impact…
Added 40 mins ago
J
Senior Director, BSS Engineering & Product
Jobgether
Remote, United States
- $240,000 to $318,000 USD / year
Establish and maintain engineering standards across system integration, release management, automated testing, observability, technical debt management, and platform reliability.
Added 40 mins ago
Security/ATO Automation Engineer
Jobgether
Remote, United States
Collaborate with cybersecurity, software development, platform engineering, integration, data, and government stakeholders to validate automation logic and maintain end-to-end traceability.
Added 1 hour ago
Senior Solutions Architect
Jobgether
Remote, United States
Build and scale strategic third-party platform partnerships, driving integration use cases across measurement, data, and analytics ecosystems.
Added 2 hours ago
S
Lead Energy Trading & Risk Architect 12 month FTC
SmartestEnergy
Remote, United States
- £100,000 to £125,000 GBP / year
…across the full architecture landscape - applications, data, integration, infrastructure, and security - ensuring systems are scalable, resilient, and aligned to business strategy. You will…
Added 3 hours ago
Senior Business Analyst
Jobgether
Remote, United States
Experience working with configurable enterprise systems and supporting system integration, configuration, and implementation projects.
Added 3 hours ago
Lead MV Electrical Engineer, PE - Power & Infrastructure
Monterra
Remote, United States
- Define the technical rules our AI agents follow, review and validate their engineering output, and work with our AI platform team to continuously improve the system.
Added 4 hours ago
J
Technical Architect Senior
Jobgether
Remote, United States
- $201,950 USD / year
As Senior Technical Architect, you will provide technical leadership across the architecture, development, integration, and operation of an automated insurance platform. Your…
Added 4 hours ago
J
Senior Project Manager, Scrum Master
Jobgether
Remote, United States
- $130,000 to $140,000 USD / year
End-to-End Project and Program Management: Lead the delivery of enterprise data platform, integration, analytics, and reporting initiatives from initial intake and discovery through…
Added 4 hours ago
eLearning Developer, Articulate Rise Contractror
Jobgether
Remote, United States
The eLearning Developer will play a key role in transforming and improving an existing library of online learning courses for a global coaching audience. You will audit 13 existing courses,…
Added 5 hours ago
SentinelOne Engineer
Jobgether
Remote, United States
…administration and continuous improvement of the SentinelOne platform, including its use as a Security Information and Event Management (SIEM) solution. You will develop and fine-tune…
Added 5 hours ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
Strengthen engineering standards by developing unit and integration tests, maintaining CI/CD workflows, implementing infrastructure-as-code, and introducing safe deployment strategies such…
Added 5 hours ago
JD Edwards Order-to-Cash Business Analyst
Jobgether
Remote, United States
Collaborate with technical developers and integration specialists to deliver customized JD Edwards solutions that address complex business needs.
Added 5 hours ago
Cloud Security Engineer
Jobgether
Remote, United States
…AWS and Microsoft Azure, alongside exposure to Google Cloud Platform (GCP). In this part-time position, you will design, implement, and optimize cloud security controls to protect critical…
Added 6 hours ago
DS
(1119856) Technical Product Owner - API Integrations
Diversified Services Network, Inc.
Remote, United States
- $125,000 to $130,000 USD / year
Partner with customers, dealers, software vendors, and technology partners to gather integration requirements and drive successful implementations, including onboarding third-party partners…
Added 6 hours ago
DS
(1119856) Technical Product Owner - API Integrations
Diversified Services Network, Inc.
Remote, United States
- $125,000 to $130,000 USD / year
Partner with customers, dealers, software vendors, and technology partners to gather integration requirements and drive successful implementations, including onboarding third-party partners…
Added 6 hours ago
DS
(1119856) Technical Product Owner - API Integrations
Diversified Services Network, Inc.
Remote, United States
- $125,000 to $130,000 USD / year
Partner with customers, dealers, software vendors, and technology partners to gather integration requirements and drive successful implementations, including onboarding third-party partners…
Added 6 hours ago
DS
(1119856) Technical Product Owner - API Integrations
Diversified Services Network, Inc.
Remote, United States
- $125,000 to $130,000 USD / year
Partner with customers, dealers, software vendors, and technology partners to gather integration requirements and drive successful implementations, including onboarding third-party partners…
Added 6 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
Added 6 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
Added 6 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
Added 6 hours ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
Added 6 hours ago
DI
Guidewire Solutions Architect
Daptix Insurance Solutions
Remote, United States
- $1,000 to $150,000 USD / year
Lead Guidewire configuration and integration strategy for core systems (Policy, Billing, Claims).
Added 6 hours ago
EC
Controller
Ecom CFO
Remote, United States
- $110,000 to $140,000 USD / year
…chart of accounts structure, class and location tracking, and integration mappings (e.g., Bill.com, Ramp, Expensify, Cin7, Shopify, Amazon, SPS, etc.) to ensure accuracy and…

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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