Jobs in the United States

25+ jobs

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Added 10 mins ago
K
Sr. Al Solution Engineer
Kentro
UNAVAILABLE
- $101,000 to $140,000 USD / year
Kentro is hiring for a Sr. AI Solution Engineer to support secure cloud data and applied AI initiatives for government customers. You will build governed data pipelines, automate cloud and…
Added 22 mins ago
RH
DevOps II / SRE
Robert Half
Philadelphia, PA
- $40 to $45 USD / hour
We are seeking a DevOps II / Site Reliability Engineer to help build and mature a growing Site Reliability Engineering (SRE) function supporting large-scale digital platforms. This role…
Added 27 mins ago
Senior Member of Technical Staff, Platform Engineer (Infra)
Pallet
San Francisco, CA · NY
5+ years in infrastructure, platform, or SRE roles, ideally at a company or team you joined early and helped scale. Depth and judgment matter more to us than the exact years of experience.
Added 27 mins ago
Senior Member of Technical Staff, Platform Engineer (Infra)
Pallet
NY · San Francisco, CA
5+ years in infrastructure, platform, or SRE roles, ideally at a company or team you joined early and helped scale. Depth and judgment matter more to us than the exact years of experience.
Added 31 mins ago
O
Principal Core Infrastructure Engineer
Oracle
Austin, TX
- $114,600 to $234,600 USD / year
Oracle Cloud Infrastructure (OCI) is hiring a Principal Core Infrastructure Engineer to join the Next Gen Network Observability team. Help build cloud-scale intelligence systems that enable…
Added 1 hour ago
Principal Software Engineer - Robotics & Physical AI Simulation
Irving, TX
● Experience with cloud platforms and cloud-native architectures, including Docker and Kubernetes.
Added 1 hour ago
DevOps II / SRE
Robert Half
Philadelphia, PA
We are seeking a DevOps II / Site Reliability Engineer to help build and mature a growing Site Reliability Engineering (SRE) function supporting large-scale digital platforms. This role…
Added 1 hour ago
Senior Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…architectures that improve security, operational efficiency, user experience across workforce, and privileged access environments. Leverages automation frameworks, APIs, and AI-driven…
Added 1 hour ago
Lead Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…workflows, and Zero Trust security frameworks that support hybrid cloud and SaaS environments. Serves as a strategic advisor to technology and security leadership on identity innovation,…
Added 2 hours ago
PI
Senior Principal AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $139,100 to $231,900 USD / year
As a Senior Principal AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists…
Added 2 hours ago
PI
Senior AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $106,000 to $176,600 USD / year
As a Senior AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.
Added 2 hours ago
Director, Full-Stack Engineer - AML (Anti Money Laundering)
Capital One
NY · McLean, VA · Cambridge, MA
As a Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
Added 2 hours ago
DevSecOps Security Engineer
Leidos
Egg Harbor Township, NJ
Leidos is seeking a DevSecOps Security Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform…
Added 2 hours ago
Data Engineer, Clinical Operations
Bristol Myers Squibb
Princeton, NJ
Optimize data platform components for performance, scalability, interoperability, availability, and cost-effectiveness using techniques such as cloud-native parallel processing, Databricks…
Added 2 hours ago
Sr. Production Support Engineer
Retail Services & Systems, Inc
United States
…failures. Create and maintain alerts, dashboards, and reports for cloud workflows, real-time streaming processes, and databases; utilize logs and metrics to identify error patterns and…
Added 2 hours ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
…it leaves behind: you will set standards from real delivery experience, prove them inside the business units that matter most, and serve as the escalation point for the hardest…
Added 2 hours ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
12 or more years of experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions.
Added 2 hours ago
Controls Engineer, Data Center Engineering
Apple
Dallas, TX
Experience with data center information system stacks including: MQTT as the messaging and telemetry transport layer; Inductive Automation's Ignition as the unified SCADA/HMI and data…
Added 2 hours ago
Systems Engineer, Platform Engineering
Quanta Services
Houston, TX
Platform Engineering builds and operates the internal platforms Quanta’s IT Transformation runs on - self-service cloud provisioning, an AI assistant that acts as the front door to IT, and…
Added 3 hours ago
Senior Core Infrastructure Engineer - OCI Product Catalog (Nashville-TN)
Oracle
Nashville, TN
Experience with Oracle Cloud Infrastructure, AWS, Azure, GCP, or another large-scale cloud platform.
Added 3 hours ago
Staff Security Engineer
Mixpanel
San Francisco, CA
Mixpanel's Information Security & Risk Management (ISRM) team is hiring a Staff Security Engineer to partner with our product and engineering teams on how we build and run Mixpanel…
Added 3 hours ago
Cloud-Ops Platform Engineer - Top SECRET / ONSITE
VISUAL SOFT, INC
Huntsville, AL
Job Title: Cloud/Ops Platform Engineer - an Active Top SECRET required
Added 3 hours ago
Senior DevSecOps Engineer - Top SECRET / ONSITE
VISUAL SOFT, INC
Huntsville, AL
We are seeking an experienced **Senior DevSecOps Engineer** to design, automate, and secure our enterprise CI/CD workflows and cloud architecture. In this role, you will embed **DevSecOps**…
Added 3 hours ago
Senior Database Engineer
Bluestaq US External
CO
The Senior Database Engineer at Bluestaq owns the data systems that move and protect information behind national security decisions - the schemas, pipelines, and datastores our enterprise…
Added 3 hours ago
Senior Software Engineer
FlightSafety International Inc
Seattle, WA
Experience with building and operating cloud-native microservices and APIs at scale

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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