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Software Engineer
Teradata
Phoenix, AZ
Providing multiple DevOps tools to support CICD pipelines, monthly releases.
Added 12 mins ago
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Linux Engineer
Samsung SDS America
Plano, TX
- $156,000 to $166,000 USD / year
We are seeking a Linux Infrastructure Engineer to manage, optimize, and secure enterprise Linux environments across on-premises data centers and public cloud platforms. This role focuses on…
Added 42 mins ago
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Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Source is seeking a Senior Software Engineer to help lead our growing technology team. In this role, you’ll set a high bar for engineering excellence, shaping the performance and growth of…
Added 55 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
…deployment pipelines. You understand that in a startup, backend engineering means owning the full lifecycle of your…
Added 55 mins ago
Software Engineer III
Remote, United States
The Software Engineer III designs, develops, tests, and supports web, mobile, and cloud-based applications. This role contributes to the full software development lifecycle, leads…
Added 56 mins ago
Integration Engineer - Fintech Platform
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Remote, United States
Collaborate with engineering teams to design internal APIs that expose integrated data to application layers
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AWS Engineer (Data Engineer)
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…includes IT for grants management; IT for public health databases; application development; data warehousing; and business intelligence. Our grants modules have securely processed over $75…
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Hands-on Azure Cloud Architect for Top Financial Firm
The Culper Group
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You will be part of a team who engineer Azure services such that the application development team can consume it.
Added 1 hour ago
Devops Engineer with 1 - 10 years of experience
The Culper Group
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Interact with team members to improve our engineering tools, technology stack, and application performance and stability
Added 1 hour ago
DevOps Engineer
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…infrastructure solutions to internal & external customers. The solutions engineer will also serve as an internal consultant focusing on tactical as well as strategic solutions for the…
Added 1 hour ago
Software (DevOps) Engineer
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…orchestrated deployments using Jenkins, Maven, Vigrant, and other Devops…
Added 1 hour ago
DevOps/ System Engineer LOCAL ONLY
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As a DevOps/Systems Engineer you will ensure the stability, integrity, and efficient operation of our infrastructure by monitoring, maintaining, supporting, and optimizing our development…
Added 1 hour ago
Senior Engineer - DevOps
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The Senior Engineer - DevOps is responsible for supporting our clients custom and off-the-shelf software through all phases of the lifecycle - through end to end application, systems…
Added 1 hour ago
Senior DevOps Engineer
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New York, NY
The DevOps Engineer is responsible for building and extending our evolving continuous delivery AWS platform with the goal of moving changes to production faster and safer, while ensuring…
Added 1 hour ago
New Microsoft Engineer Project - MUST Be US Citizen for Government Clearance!
MaKa Systems
Wharton, NJ
…partner with the resources to ramp up quickly to address IT, engineering services and sciences support challenges of any scale at the Federal, state or local level anywhere in the United…
Added 1 hour ago
Principal Software Engineer (SRE/DevOps) - Remote
Invisible Technologies
Remote, United States
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Added 1 hour ago
Sr. Systems Engineer
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Job Description: The Senior Systems Engineer works as part of a team responsible for the design of the system architecture, server infrastructure management, and advanced technical support.…
Added 1 hour ago
Vice President – Full Java Stack Engineer
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DevOps Engineer
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Rocky Hill, CT
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Cloud Network Engineer (US Citizen & Green card)
Computech Corporation
San Diego, CA
Experience with network configuration automation (Scripting with Pearl/Python/Bash or DevOps tools like Chef/Puppet
Added 1 hour ago
Cloud Automation Engineer
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Added 1 hour ago
Test Automation Engineer
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…in suburban Maryland - BI provides end-to-end solutions in application development, consulting, and re-engineering across all major technologies. Our solutions and services help build…
Added 1 hour ago
QA Automation Engineer
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Familiarity with CI/CD tools such as Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
Added 1 hour ago
CCNP Cisco Network Engineer
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Added 1 hour ago
Senior Realtime DevOps Engineer
BloKchain Talent
Tempe, AZ
POSITION TITLE: Senior Realtime DevOps Engineer

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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