Jobs Python

NO vibe-coding, we need experience in parsing and data science.

We are building "Howard"—an Investment AGI designed to industrialize the brain of top credit veterans (e.g ex-Zwirn/Blackstone pedigree). While the rest of the market fights over "data aggregation," we are building "automated reasoning"—an engine that ingests messy financial data (SEC filings, BDC reports, court dockets) and thinks like a credit committee.

The Role: We need a Data Ingestion Architect to build the feeding tubes for our AGI. You aren't just scraping websites; you are architecting real-time pipelines that turn unstructured chaos into alpha. You will work directly with the founder to map the "thinking path" of elite credit investors into code.

The Deal:

Rate: $25/hr (Contractor/Stipend) to start.
Stack: Python, Scrapy, Selenium, LLM Orchestration (LangChain/Vector DBs).
If you want a safe 9-to-5, this isn't it. If you want to build the "Aladdin for Private Credit" from the ground floor, let's talk.

About the Role:

We are seeking a motivated Junior Verification Engineer to join our VLSI design and verification team.

This is an excellent opportunity for new graduates with strong academic training in digital design, verification methodologies, and SystemVerilog/UVM.

Responsibilities:

Develop and execute verification testbenches using Verilog/SystemVerilog and UVM

Implement functional and constrained-random tests for block-level and SoC-level designs

Create coverage models (functional, code, assertion-based) and drive coverage closure

Debug simulation failures, interface mismatches, and RTL issues

Write and maintain scoreboards, monitors, agents, drivers, and checkers in UVM

Review design specifications, extract test requirements, and build verification plans

Run regressions, triage failures, and document results

Collaborate closely with RTL designers, DFT, backend, and system architects

Required Qualifications:

B.Sc. or M.Sc. in Electrical/Computer Engineering or related field

Strong academic background in digital logic, computer architecture, and VLSI design

Hands-on experience with Verilog and SystemVerilog (labs, projects, internship)

Basic understanding of UVM methodology

Familiarity with simulation tools (VCS, QuestaSim, Xcelium or similar)

Ability to read and understand RTL code

Good analytical and debugging skills

Strong motivation to grow in advanced functional verification

Nice-to-Have Skills:

Coursework or project experience with UVM testbench development

Familiarity with assertion-based verification (SVA)

Basic scripting (Python, Perl, Shell, TCL)

Experience with coverage-driven verification

Exposure to SoC-level interfaces (AXI, PCIe, DDR, Ethernet, SPI, I2C)

What We Offer:

Full training in modern verification methodologies (UVM, SVA, CRV)

Work with cutting-edge IPs and SoC architectures

Mentorship from senior verification and architecture teams

Clear growth path toward UVM specialist, verification lead, or architect

We are looking for highly motivated junior engineers to join our Design-for-Test (DFT) team.

This is an excellent opportunity for graduates who want to build expertise in Scan, Memory BIST, and JTAG within advanced VLSI development.

Responsibilities:

Learn and support implementation of scan insertion and scan chain architecture

Assist in ATPG pattern generation and test coverage analysis

Participate in Memory BIST (MBIST) integration and verification

Work with JTAG / IEEE 1149.1 boundary scan concepts and flows

Help debug test-related issues at RTL and gate level

Collaborate with senior DFT engineers on SoC-level test strategy

Required Background:

Academic knowledge in digital logic, VLSI design, and computer architecture

Basic familiarity with DFT concepts: scan, ATPG, BIST, boundary scan

Understanding of Verilog or VHDL

Scripting basics (Python, TCL, Shell)

Good analytical and problem-solving skills

Strong motivation to learn industry-standard DFT tools and flows

What We Offer:

Full training in Scan, MBIST, JTAG, ATPG, and DFT methodologies

Mentorship by experienced DFT engineers

Exposure to advanced SoC development flows and signoff

Growth path toward senior DFT, test architecture, or silicon bring-up roles

We are looking for a skilled Python Developer who is located in Lviv. You will work on building and maintaining high-quality backend solutions, improving system performance, and contributing to the technical architecture of our products.

Responsibilities

- Develop, maintain, and optimize backend services using Python.

- Design and improve application logic, data processing workflows, and integrations.

- Collaborate with the team to define technical requirements and implement best practices.

- Write clean, well-structured, and testable code.

- Participate in code reviews and contribute to continuous improvement.

- Work closely with frontend developers.
 

Requirements

- Strong experience with Python development.

- Solid understanding of software design principles, clean code, and modern development practices.

- Experience working with APIs, data structures, and system integrations.

- Ability to work independently as well as in a team environment.

- Good communication skills and attention to detail.

- Upper-Intermediate English.
 

Nice to Have

- Experience with React.js or understanding of frontend-backend collaboration.

- Familiarity with cloud platforms, CI/CD, or containerization tools.

- Knowledge of SQL or NoSQL databases.

About Revenue Grid

Revenue Grid is a B2B SaaS Revenue Intelligence platform helping sales teams across the US eliminate revenue leaks and make better, data-driven decisions.

We are actively growing our Applied AI & Generative AI direction — a focused engineering team working on real, production-level AI features embedded directly into the product, not experimental demos.

Our goal is to turn LLM capabilities into reliable, scalable tools that solve concrete business problems for sales teams.

What You’ll Do

• Design and implement AI-powered features using Large Language Models (LLMs)
• Build and evolve RAG pipelines, agent-based workflows, and multi-step reasoning systems
• Work hands-on with LangChain and/or LangGraph
• Develop PoCs and MVPs and take them to production-ready solutions
• Integrate AI services with existing backend systems and data sources
• Collaborate closely with product, backend, and data teams
• Continuously experiment with new tools, frameworks, and techniques in applied AI

What You Bring

• Strong Python skills and solid software engineering fundamentals
• Practical experience with prompt engineering
• Hands-on experience with LangChain and/or LangGraph
• Good understanding of LLMs, embeddings, vector databases, and RAG architectures
• Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Ability to design reliable AI workflows rather than just calling an API
• Product-oriented mindset and ownership mentality

Nice to Have

• Experience with FastAPI
• MLOps or LLM evaluation and monitoring
• Experience with Kafka or data streaming
• Cloud platforms (AWS, GCP, Azure)
• Background in SaaS / B2B products

Why Revenue Grid

• Remote-first setup with flexible working hours
• Real ownership and autonomy — no micromanagement
• Applied AI in production, not just research
• Unlimited vacation policy
• Medical insurance after the trial period
• Strong product culture and experienced engineering team
• Opportunity to grow into AI Architect or Technical Lead roles

Ready to build real AI features used by thousands of sales professionals? 
We’d love to meet you — apply now.

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models and transforming massive volumes of raw imagery into meaningful, structured insights that power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you. 

Key Responsibilities: 
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for collecting, cleaning, transforming, and loading large volumes of geospatial data. 
● API Development & Deployment: Design, build, and maintain high-speed, scalable RESTful APIs (using frameworks like FastAPI/Powertools for Lambda). 
● Model Integration & Productionization: Work closely with Data Scientists to containerize and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform. 
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code. Optimize data processing and platform latency to handle requests and queries at massive scale and high volume. 
● System Architecture: Contribute to the design and implementation of our Microservices and Serverless architectures, ensuring high availability, security, scalability and observability. 
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and Product Managers to translate business requirements into technical solutions.

Required Qualifications: 
● B.Sc. degree in Computer Science or a related technical field. 
● Demonstrable professional experience as a Python Developer with a focus on data-intensive backend systems (4+ years). 
● Expert knowledge of Python 3, follow PEP8. 
● Experience developing using OOP and SOLID principles. 
● Proven experience designing and developing production-ready APIs using a modern Python web framework such as FastAPI or Powertools for AWS Lambda. 
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB, CloudFormation/SAM using boto3. 
● Experience with Docker/Kubernetes. 
● Experience with Linux, preferably Ubuntu. 
● Experience with SQL Databases (e.g. PostgreSQL) 
● Experience with version control (Git) and collaborative development workflows. 
● Good communication skills in English

Preferred/Bonus Qualifications: 
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio). 
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server. 
● Experience with Workflow Management platforms such as Apache Airflow. 
● Experience with on-prem servers. 
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices

We are looking for an experienced Backend Engineer to build and scale high-performance backend systems for modern cloud-native products. You will work with Python, AWS, Kubernetes, and microservices, contributing to reliable, secure, and scalable solutions used across multiple industries.

What You’ll do:

• Design, develop, and maintain backend services using Python (Django is a plus)
• Build and scale microservices-based architectures
• Develop and deploy cloud solutions on AWS (ECS, EKS, Lambda, S3, RDS)
• Deploy and manage containerized applications using Kubernetes (K8s)
• Ensure high performance, reliability, security, and scalability
• Collaborate with product and engineering teams on system architecture
• Fluent in Ukrainian language
   

What We’re looking for:

• 7+ years of backend software development experience
• Strong proficiency in Python
• Hands-on experience with Kubernetes and container orchestration
• Solid experience with AWS cloud services
• Strong understanding of microservices and distributed systems
• Experience with relational and NoSQL databases
• Excellent problem-solving and debugging skills
• Team-oriented mindset with strong communication skills

Nice to have:

• Experience with Django
• Knowledge of CI/CD pipelines
• Experience with Docker
• Familiarity with DevOps practices

Join a US-based, mission-driven tech company building a platform that connects nonprofits and small businesses with skilled volunteers.
This is a key technical leadership role with full ownership of architecture, engineering standards, and long-term technical direction.

Who we’re looking for (US-based ONLY)

‼️ This role is open exclusively to candidates who are physically located in the United States.

Must Have

• 5+ years of experience in software engineering
• 2+ years in a Tech Lead / Software Architect role
• Strong hands-on expertise with Python (Django) and React
• Proven experience designing scalable architectures and making core technical decisions
• Solid knowledge of PostgreSQL, API design, system integrations
• Strong background with AWS (Render is a plus)
• Confident with DevOps practices: CI/CD, IaC, monitoring
• English level B2–C1
• Structured, proactive, able to mentor engineers and set technical standards
• Ready to act as the key technical owner of the platform

Nice to Have

• Experience with SaaS / platform architecture
• ElasticSearch experience
• AI/ML or OpenAI API integration experience
• Serverless or microservices orchestration
• Background in nonprofit or impact-driven projects

What you’ll do

• Own the platform’s architecture and long-term technical direction
• Spend ~70% of your time on hands-on development
• Build and optimize APIs, data flows, and integrations
• Lead integrations with OpenAI API, Klaviyo, SendGrid
• Design and maintain CI/CD pipelines and cloud infrastructure (AWS, Render)
• Ensure performance, scalability, and reliability
• Conduct code reviews and mentor the engineering team
• Collaborate closely with product and design to shape technical solutions

We Offer

• Full ownership of the platform’s technical architecture
• High autonomy and trust — no micromanagement
• Work on a product with real social impact
• 100% remote, flexible schedule
• Modern stack with freedom to improve and evolve it
• Direct influence on product and technical roadmap

About the Company

US-based impact-driven tech platform connecting nonprofits and small businesses with skilled volunteers.
This role is the central technical pillar of the team.

Location: USA only
Format: 100% Remote
Schedule: Flexible, with one recurring sync at 4:00 PM EST

Project

A platform reshaping the vehicle inspection market, allowing companies to run guided, computer vision–based inspections on any smartphone in just a few minutes, with AI assessing damage and estimating repair costs.

Role

Our client is looking for a Senior AI / ML Engineer to take ownership of improving the learning performance of AI models used for vehicle damage detection and damage size assessment. The role exists because the client’s current AI models have plateaued over the past year and they are looking for a fresh perspective to identify new approaches and drive further improvements in data, training, evaluation, and model design.

Qualifications

• 5+ years of experience in Computer Vision.
• Strong understanding of Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Convolutional Recurrent Neural Networks (RCNN).
• Experience working with large datasets.
• Strong programming skills in Python, TensorFlow, and PyTorch.
• Strong AWS experience (deployment, optimization).
• Usage of open-source CNN models such as Yolo.
• Bachelor’s degree in Computer Science or a related field.

Responsibilities

• Design, develop, and implement deep learning models using CNN, RNN, and RCNN for various applications.
• Work with large data sets to preprocess, clean, and prepare data for model training.
• Create datasets for training and testing.
• Train machine learning models and validate their accuracy, and deploy validated models into production.
• Optimize models for performance and accuracy, and fine-tune hyperparameters to achieve optimal results.
• Stay up to date with the latest developments in deep learning techniques and technology.
• Provide technical guidance and support to other team members.

We are seeking a prospective and ambitious Senior/Lead Python Engineer to join our team.

Responsibilities :

• Understand business needs and implement functional requirements accordingly
• Work independently and directly with stakeholders when needed
• Help in designing the software
• Build efficient back-end features in Python
• Implement designs into code by collaborating with UI/UX designers
• Keep suggesting improvements and ways to enhance the functioning of the software
• Be focused on quality

Requirements :

• 6+ years of experience in Python
• 2+ years in FastAPI
• 2-3 years in a Tech Lead role
• Must have: Amazon SES, AWS Lambda, Mongo DB, MicroServices architecture, and Serverless
• Experience with Mobile projects or readiness to deep dive into the domain fast 

Good to have: 

• GCP, GBQ, Cloudflare
• Excellent verbal and written skills in English
• Experience with Azure DevOps is a plus

The ideal candidate is also:

• Pragmatic: gets things done, can find a creative compromise between an ideal technical solution and actual client needs
• Understand the value of testing, quality, continuous integration, source control, and code reviews
• Able to analyze, plan, and estimate requirements as well as identify risks involved and provide solutions to them
• Good communication skills and excellent teamwork capabilities
• Independent and self-motivated with a can-do attitude
• Capable of executing under uncertainty, in a dynamic environment

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Who we are looking for:
An ambitious, hands-on Tech Lead (Python) to drive the technical vision and delivery of an intelligent legal automation platform. You will lead a cross-functional team building secure, scalable, and agentic AI solutions for notaries and legal professionals. You’ll define technical processes, select tools, and mentor engineers, supported by a culture of excellence and collaboration.

Important!
This role involves regular travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe. Please include your location and salary expectations in your cover letter.

About the Project
Our client is a Netherlands-based company building a SaaS platform for notaries. AI-powered workflow automation, document intelligence, and agentic orchestration for the legal sector. Our stack includes Python (FastAPI, PydanticAI, LangChain), OCR/NLP pipelines, React/Tailwind portals, and cloud-native infrastructure (Kubernetes, Docker, GitHub Actions). We focus on privacy, compliance, and practical AI for real-world legal workflows. The solution is hosted in the Netherlands and fully aligned with EU data and security requirements. The project is a long-term partnership with a blended team from both the client and our company, working together as a single product team.

Tech Stack
— Python 3.9+, FastAPI, Flask, PydanticAI, LangChain
— SQLAlchemy, PostgreSQL, SQLite, MongoDB, Redis, Kafka
— PaddleOCR, Tesseract, custom NLP models
— Docker, Kubernetes, GitHub Actions, Ingress, cert-manager
— React, Tailwind, Keycloak (frontend)
— Microsoft Graph API, OAuth2/MSAL (integration)

Responsibilities
— Architect and deliver robust, readable, and well-documented Python microservices
— Lead the design and implementation of agentic AI workflows and document intelligence pipelines
— Define development plans, ensure timely delivery, and adapt to changing requirements
— Oversee system stability, security, and compliance (AVG/GDPR)
— Mentor engineers, lead code reviews, and foster best practices (type hints, Pydantic models, pre-commit, Ruff)
— Collaborate with frontend, DevOps, and client teams to deliver seamless solutions
— Communicate with POs and legal experts to clarify requirements and explain technical solutions
— Research, prototype, and evaluate new technologies (LLMs, OCR, cloud-native patterns)
— Drive continuous improvement in CI/CD, testing, and deployment automation

Qualifications
— 5+ years of hands-on Python experience, including large-scale projects and microservices
— Strong background in AI/NLP, OCR, or agentic workflow systems
— Experience with FastAPI, Pydantic, SQL/NoSQL databases, and cloud infrastructure
— Familiarity with Docker, Kubernetes, GitHub Actions, and secure deployment practices
— Solid understanding of REST, Websockets, authentication (OAuth2, JWT), and security best practices
— Experience with frontend integration (React, Keycloak) and Microsoft 365 APIs is a plus
— Excellent communication and collaboration skills; fluent English (C1+)
— Bachelor’s or Master’s in Computer Science, Software Engineering, or related field
— Experience mentoring or leading teams, and driving technical excellence
— Familiarity with legal tech, compliance, or document automation is a bonus

What we offer

• Flexible working conditions
• Competitive salary depending on your experience with a comprehensive benefits package, which includes a monthly €50 stipend to cover work-from-home expenses, and an allocation of 25 vacation days.
• After one year, WeAreBrain offers access to a Team Reward Program for all employees.
• Innovative Exploration: Seize the chance to pioneer your department, venturing into uncharted territories, and experimenting with fresh ideas that push boundaries.
• Entrepreneurial: Immerse yourself in a true entrepreneurial environment where every team member is an owner.
• Office Perks: We organise lunch in the office and have monthly gatherings for drinks and bites, fostering our team spirit.
• Remote Work Flexibility: Our team has the freedom to work remotely, allowing you to achieve a healthy work-life balance that suits your preferences.
• Professional Growth: We value your growth. Take advantage of diverse opportunities and resources designed to nurture your professional development.
• A creative and dynamic work environment.

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact.
 

Our work splits into two directions: end-to-end AI B2B SaaS platforms for startups and targeted AI solutions for larger product companies. Multi-agent architectures, complex RAG pipelines, voice systems, document intelligence — the kind of work where you’re often the first to solve a specific problem.
 

We are looking for an AI Software Engineer. You’ll build AI systems — client projects, internal R&D, or both. Some work is exploratory: new problems, unclear approaches, figuring things out. Other work is structured delivery: clear scope, defined milestones, ship and iterate.
 

If you think before you build, ask “why?” before “how?”, and can explain complex technical trade-offs to non-technical founders — join us!

 

What You’ll Do:

• Conversational AI — chat agents, voice systems, customer support automation. Prompt engineering, context management, handling edge cases that break naive implementations.
• Document & Data AI — RAG systems, document processing, content generation. Chunking strategies, retrieval optimization, working with messy real-world data.
• Multi-agent systems — orchestrating multiple AI components, agent architectures, workflows where one model’s output feeds another.
• Full-stack integration — connecting AI to existing platforms, APIs, databases. The AI is only useful if it works within the product.
• Direct client collaboration — understanding requirements, presenting solutions, managing expectations.
  
   

What We’re Looking For:

• Excellent knowledge of Python — most of our solutions are built on it.
• Experience building with LLMs, prompt-engineering skills (GPT, Claude, Gemini) — not just calling APIs, but understanding how to make them actually work.
• Familiarity with agent architectures and multi-agent systems — you’ve built or worked with agentic workflows, understand the patterns.
• Experience with SQL DBs — you have a good understanding of data structuring.
• Product mindset — you think not only technically, but also with the user’s needs in mind. Ready to look for the best solutions, not just “get the job done.”
• Fluency in Ukrainian and English (Upper-Intermediate+) — because communicating with customers is part of the job.
  
   

Nice to nave:

• Basic DevOps/MLOps skills.
• Knowledge of JS/TS.
• Experience in consulting or client-facing technical roles.

What We Offer:

• Structured onboarding & dedicated support — you’ll get a clear onboarding plan, documented workflows, and a team that’s got your back.
• Flexible remote schedule — work from wherever and whenever you’re most productive.
• Learning budget — we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support — so you can focus on the work, not the paperwork.
• Time off — 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership — access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Recruiter Interview → Tech Interview → Test Task → Final Interview.

If you care about who you work with, what you create, and how it affects the outcome, we will definitely be on the same page. We’re excited to meet you 👋

We work with startups and established companies to create products in healthcare, fintech, eCommerce, and AI. This role offers real variety — new domains, evolving challenges, and steady professional growth instead of being locked into a single legacy system.

If you’re motivated by fast learning and building features that go live, this might be the right place for you.

What You'll Do

• Build and ship features - from small tasks to full modules as you grow
• Write clean code and learn best practices through code reviews
• Work alongside experienced engineers who'll help you level up
• Learn how production apps are built and scaled
• See different products and industries - faster learning curve

What We Work With

⚡ Python, FastAPI, Django, Pydantic, PostgreSQL, uv, Ruff

Gets You Extra Points

• Familiar with SQLModel, Alembic
• Used AI coding tools (Cursor, Claude Code, Copilot)
• Hands-on experience with any LLM integration
• Basic prompt engineering skills

What You Bring

• Solid understanding of Python
• Understanding of REST APIs
• Basic experience with SQL databases
• English: Intermediate+
• Willingness to learn and take feedback

What You Get

Work & Growth:

• Fully remote, flexible hours
• Structured code reviews
• Senior engineers who help you level up
• English practice sessions

Compensation:

• Salary in USD
• Performance reviews twice a year
• 15 days paid vacation + sick leave

🚀 Ready to level up? Apply now.

Description

The groundbreaking model for in-home care and support has given us the inspiration to create our new technology solution. Through a HIPAA-compliant platform that is intuitive and user-friendly we will enhance and empower care and communication between caregivers and their extended care team to improve outcomes and quality of life.

Requirements

4-5+ years of commercial experience as a software engineer
Backend development with Python or Golang
Experience with modern frontend frameworks (Ember.js, React, Vue, Angular)
Knowledge and hands-on experience with DB
Experience with Restful APIs and Microservices
Github Actions and general CI/CD experience
Strong commitment to master Ember.js framework and other required technologies
Upper-intermediate English level
Unit testing experience

Nice to have:

Experience with Amazon Web Services is a plus
Experience with Linux, Docker, Kubernetes
Very good communication skills – work with global distributed team
Strong analytical and problem solving skills, proactive and innovative

Job responsibilities

• Design, develop, and maintain full-stack web applications
• Implement RESTful APIs and integrate with relational databases
• Participate in the analysis, diagnosis and troubleshooting issues and defects
• Collaborate with cross-functional teams to deliver scalable, secure solutions
• Ensure application performance, security, and code quality through best practices and code reviews
• Participate in troubleshooting, debugging, and continuous improvement efforts

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!