Jobs Python

Description:
The project is an AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. It is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.
We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.

We are seeking a talented and experienced Backend Engineer to join our engineering team. You will be instrumental in designing, developing, and maintaining the robust and scalable backend systems that power our cutting-edge marketing technologies, including the AI platform. If you have a passion for building high-performance APIs, working with large datasets, and contributing to the future of AdTech, we want to hear from you.

Requirements

• 4+ years of professional experience in backend software development.
• Strong proficiency in Python
• Extensive experience designing and building RESTful APIs.
• Solid understanding of database systems.
• Experience with cloud platforms GCP and developing cloud-native applications.
• Familiarity with containerization technologies (Docker).
• Knowledge of message queues/event streaming platforms (e.g., Kafka, RabbitMQ, SQS/SNS) is highly desirable.
• Experience with microservices architecture and distributed system design.
• Proficiency with version control systems, particularly Git.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.

Job responsibilities

• Design and Develop Robust Backend Systems
• Design, develop, and implement high-performance, scalable, and resilient backend services and APIs (REST, gRPC) that support our various data products and AI platforms.
• Write clean, maintainable, and efficient code in Python using best practices and appropriate design patterns.
• Collaborate with architects and senior engineers to define system architecture, data models, and integration strategies.
• Integrate with internal and external data sources, AI/ML services, and third-party APIs relevant to the AdTech ecosystem.
• Ensure Scalability, Reliability, and Performance
• Optimize existing backend services for maximum speed, scalability, and stability, handling large volumes of data and traffic inherent in the AdTech domain.
• Implement robust monitoring, logging, and alerting solutions to proactively identify and address system issues.
• Participate in performance tuning, troubleshooting, and debugging of complex backend systems.
• Contribute to the continuous improvement of our deployment processes, CI/CD pipelines, and cloud infrastructure interactions.
• Uphold Code Quality and Best Practices
• Conduct thorough code reviews, ensuring adherence to coding standards, security best practices, and architectural guidelines.
• Develop comprehensive unit, integration, and end-to-end tests to guarantee the quality and reliability of backend components.
• Contribute to technical documentation, including API specifications, architectural diagrams, and system runbooks.
• Actively participate in the agile development process, including sprint planning, daily stand-ups, and retrospectives.

Who we are

Adaptiq is a technology hub that helps fast-growing product companies build, scale, and support strong R&D teams across different industries.
 

About the Product

We are developing an AI-first maritime intelligence platform that combines multiple global maritime data sources into one operational view. The product creates a digital twin of worldwide maritime activity and uses behavioral analytics, predictive AI models, and advanced data processing to detect risks such as smuggling, illegal fishing, container threats, and other compliance or security issues.

The platform is used by commercial, regulatory, and government customers, operating at global scale and processing millions of events along with terabytes of geospatial data every day. It is built on cloud infrastructure, microservices, and close integration with research and data science prototypes.
 

About the Role

As a Senior Backend Python Engineer, you will join an autonomous team focused on building and scaling agentic, AI-first workflows within a production-grade maritime intelligence platform.

You will be responsible for designing, delivering, and operating backend services that support generative AI agents at scale. The role involves influencing architecture, improving AI-SDLC practices, and helping shape agent-based automation used in real-world defense, regulatory, and enterprise scenarios.
 

Key Responsibilities

• Design and develop scalable Python-based microservices for agentic workflows, data pipelines, and distributed systems.
• Contribute to frontend development with React when needed.
• Integrate generative AI capabilities into production systems, including LLM APIs, RAG pipelines, and autonomous agents.
• Build operational practices and observability for AI components, including monitoring for model drift, hallucinations, and performance metrics.
• Implement and improve AI-SDLC standards, including code reviews, automated testing, CI/CD pipelines, and trace-based quality evaluation.
• Design and maintain infrastructure as code using Terraform, Kubernetes, and AWS services.
• Improve engineering velocity and product quality through automation, tooling, and architecture improvements.
• Mentor engineers on AI frameworks, developer tools, and best practices for high-scale agentic development.
• Work closely with product and research teams to turn user needs into reliable, secure, and scalable backend services.
   

Required Skills and Experience

• 7+ years of professional backend engineering experience.
• At least 2 years of experience building agentic or autonomous AI workflows in production.
• Strong hands-on experience with Python.
• Practical experience with agentic frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, Hermes, or similar.
• Proven experience designing scalable, event-driven architectures on AWS.
• Experience with messaging systems such as SQS/SNS and SQL/NoSQL databases.
• Strong understanding of GraphQL or REST API design.
• Solid DevOps background, including CI/CD, Kubernetes, and Terraform.
• Experience with production-grade security, monitoring, and incident response for mission-critical systems.
• Strong communication skills, autonomy, ownership, and ability to work in fast-paced, ambiguous environments.
   

Nice to Have

• Experience with React.js or full-stack development.
• Familiarity with vector databases and similarity search for AI applications.
   

Why Us

• 20 vacation days per calendar year, plus official national holidays in the country where you are based.
• Full accounting and legal support in all countries where we operate.
• Fully remote work model.
• Powerful workstation provided.
• Co-working space support if needed.
• Competitive compensation package with annual performance and salary reviews.

We're looking for a Junior AI-Native Full-Stack Python Developer who is passionate about software engineering and excited to build real products using modern AI tools.

Experience: 6+ months of commercial experience plus personal, freelance, university, or open-source projects that demonstrate your passion for software development.

At Flexipy, you'll build production software for international clients in SaaS, AI, and business automation. We're looking for developers who enjoy solving real problems, communicate well, and are ready to take responsibility for their work. You'll collaborate with experienced engineers while continuously expanding your technical and product expertise.

We believe modern software engineers should know how to collaborate with AI, not compete against it. Claude Code, Cursor, ChatGPT, and similar tools are part of our daily development workflow. We expect every developer to know how to use AI responsibly to accelerate development while maintaining high engineering standards.

Core Technical Skills:

• 6+ months of commercial experience plus personal, freelance, university, or open-source projects that demonstrate your passion for software development
• Good understanding of Python Core (OOP, clean code, basic async)
• Experience with Django or FastAPI
• Basic understanding of REST APIs and backend architecture
• Basic knowledge of PostgreSQL or other relational databases
• Basic knowledge of React and JavaScript/TypeScript
• Experience using Git and collaborative development workflows

AI Development Skills:

• Daily experience using AI-assisted development tools such as Claude, Claude Code, Cursor, ChatGPT, GitHub Copilot, or similar
• Ability to write clear, structured prompts for software engineering tasks
• Understanding of prompt engineering fundamentals and effective context management
• Experience using AI for code generation, debugging, refactoring, documentation, testing, and research
• Ability to review, validate, and improve AI-generated code instead of accepting it blindly
• Curiosity to explore new AI tools and incorporate them into daily development workflows

Communication & Professional Skills:

• English level: B2+ (written and spoken) — comfortable communicating directly with teammates and clients
• Good communication and collaboration skills
• Responsibility and ownership of assigned tasks
• Self-organization and attention to detail
• Strong problem-solving mindset
• Curiosity, continuous learning, and willingness to grow professionally
• Ability to receive feedback and continuously improve

What You'll Do:

• Build backend features using Django or FastAPI
• Contribute to real client projects in SaaS, AI, and business automation
• Build and maintain REST APIs
• Fix bugs and implement new features
• Support frontend development using React
• Work with PostgreSQL and integrate third-party APIs when needed
• Write clean, maintainable, and well-documented code
• Use AI tools such as Claude Code, Cursor, and ChatGPT as part of your daily development workflow
• Participate in code reviews, daily syncs, technical discussions, and occasional client meetings
• Continuously improve your technical, product, and AI development skills

Nice to Have:

• Docker and Docker Compose
• Celery and Redis
• Basic CI/CD knowledge
• Experience with OpenAI, Anthropic, or other LLM APIs
• Testing fundamentals (Pytest, frontend testing)
• AWS, DigitalOcean, or other cloud platforms
• Active GitHub profile or open-source contributions

What We Value:

• Responsibility and ownership
• Honest and open communication
• Curiosity and continuous learning
• Attention to detail
• Teamwork and collaboration
• Product mindset
• Long-term commitment and professional growth

What We Offer

• Fully remote work
• Flexible working hours (start between 8:00–10:00)
• Work on modern international SaaS, AI, and automation products
• Mentorship from experienced engineers
• Daily use of modern AI development tools and workflows
• No micromanagement or screen monitoring
• Daily team syncs and weekly planning
• Friendly and collaborative engineering culture
• Learning budget after successful probation (courses, books, certifications)

Compensation:

$500–800/month, depending on your technical assessment, experience, communication skills, and interview results.

Career Growth:

We believe in growing engineers—not just filling positions.

We conduct a performance and salary review after approximately 6 months, focusing on your technical growth, ownership, communication, and overall contribution to the team.

Our goal is to provide a clear and transparent career path:

Junior Full-Stack Developer

⬇️ After consistently demonstrating technical growth, responsibility, and strong performance

Junior+ Full-Stack Developer

⬇️ After taking ownership of more complex features, working independently, and contributing to technical decisions

Middle Full-Stack Developer

Career growth at Flexipy is based on your impact, technical skills, communication, ownership, and continuous improvement—not simply the amount of time you've spent in the role.

Ready to Apply?

If you're passionate about Python, AI, and modern software development—and want to build real products while growing alongside experienced engineers—we'd love to hear from you.

Please include:

• Your CV or LinkedIn profile
• GitHub profile (if available)
• A few words about projects you've worked on (commercial, freelance, university, or personal)
• A short note describing how you use AI tools (Claude, Cursor, ChatGPT, Claude Code, etc.) in your daily development workflow
• Your English level and availability

About us

TeamCraft Roofing (TCR) is a commercial roofing contractor in the US - 300+ employees, projects in 30+ states, Fortune 500 clients. We are building the company's data and AI platform: AI agents in production over live business data, a document-processing service, a storm-response tool for the sales team, plus a data lakehouse and an in-house CRM currently being built.

About the role
You would join the platform team as its dedicated backend engineer, working directly with the core engineering team. The core of the role is the layer connecting our business systems, the data lakehouse, and the AI agents. It's a backend-first role - frontend is a small share of the work, but you shouldn't be blocked by it.

We build with AI coding agents as a normal part of the workflow, and we hold the quality bar anyway: agent-assisted or not, code ships reviewed, typed, and tested.

Responsibilities
- Build and maintain connectors for ERP, CRM, HR, and field-operations data. Not all of these systems have clean APIs - part of the job is making ingestion reliable anyway.
- Design and ship REST APIs (FastAPI) serving AI agents and internal applications
- Implement RAG pipelines for document-based assistants
- Build the service layer of our in-house CRM
- Contribute to the lakehouse build (medallion architecture on Azure)
- Occasionally build or modify an internal UI (Next.js) when the work calls for it

Tech stack
Python (FastAPI), SQLAlchemy, PostgreSQL (complex SQL, JSONB), Redis, OpenAI and Anthropic APIs, Next.js/TypeScript on the frontend, Docker, Azure, GitHub Actions. Claude Code in daily development.

Requirements
- 5+ years of Python backend development
- Strong SQLAlchemy; solid Pandas/NumPy for data processing
- Hands-on RAG or LLM-backend experience that real users touched
- You work with AI coding agents (Claude Code or similar) day to day - and you review what they produce before it ships
- Basic frontend ability: enough JavaScript/TypeScript to make changes in a Next.js/Vite app
- PostgreSQL performance tuning
- Pytest and type hints as a default working style - we hold an 80% coverage bar
- English B2+ for daily calls with the US team

Nice to have
- Azure ecosystem experience
- dbt
- OCR / document processing
- Construction or logistics domain experience

We offer
- 100% remote, long-term engagement
- Direct contract with the US company - no outstaffing, no agency in between
- Small team, short decision paths, real ownership of what you build

- hours overlap with US Eastern time
 

Hiring process
Intro call with the tech team -> technical interview, including a short live session driving Claude Code on a small task -> in some cases, a short paid test task -> offer

Job Description

• End-to-End Project Ownership: 2+ years of continuous experience on a single relevant project, guiding it through the entire lifecycle - from initial concept and deployment to production support and maintenance.
• Tech Lead Experience: Proven track record in a Tech Lead or Team Lead role, with experience mentoring developers and establishing engineering best practices.
• Python & Django Expertise: Extensive professional software development experience with deep, hands-on mastery of Python and the Django framework.
• AWS Competency: Practical familiarity with AWS infrastructure and core services, particularly serverless and messaging components (Lambda, SNS, SQS).
• Frontend Oversight Capability: A solid conceptual understanding of any modern JavaScript framework (such as Vue, React, or Angular) - enough to assess tasks, manage delivery, and unblock engineers. Deep frontend development expertise is not required.
• Infrastructure Basics: Practical familiarity with Docker and CI/CD pipelines to support platform migration initiatives.

Job Responsibilities

• Technical Leadership: Act as the Tech Lead for the engineering bench, driving code reviews and setting a high quality bar for overall team delivery.
• Backend Development: Take ownership of core backend services using Python and Django within a multi-region SaaS architecture.
• Infrastructure & Cloud: Work with AWS services (Lambda, SNS, SQS) to support application workflows and assist with the ongoing Kubernetes (K8s) migration.
• Frontend Oversight: Effectively manage and distribute tasks across the frontend scope (built on Vue.js), focusing on high-level architecture and task delivery rather than hands-on frontend development.

Department/Project Description

GlobalLogic is seeking a Fullstack Lead Engineer to step into a Tech Lead role for our engineering bench, supporting a sophisticated, regulated medical technology platform. This position is ideal for a seasoned backend-heavy leader with deep expertise in Python and Django, a solid understanding of AWS, and the ability to oversee a cross-functional engineering team.

As a Lead Engineer, you will set the quality bar for the team, drive code reviews, and ensure the operational excellence of the platform. While your hands-on focus will be primarily on scaling and maintaining our Python/Django services and AWS infrastructure, you will also oversee the frontend scope. You don't need to be a Vue.js expert - your role is to understand modern frontend architectures well enough to effectively delegate, manage, and unblock the frontend workload. Additionally, you will support strategic platform evolutions, including an upcoming Kubernetes migration.

WebParsers is seeking a talented Python Developer specializing in web scraping to join our dynamic team. We offer a collaborative work environment, flexible scheduling, and opportunities for growth. We're open to considering final-year students with relevant commercial experience.
 

Required Skills:

• Minimum 1 year of commercial Python experience
• Proficiency in web scraping, data gathering, and data cleaning
• Web automation expertise
• Hands-on experience with BeautifulSoup, Selenium, and lxml
• Work with SQL and NoSQL databases
• Ability to deploy scrapers on servers
• High self-management skills
• Great communication skills
• Take responsibility for tasks and ensure they are completed independently
   

Core Responsibilities:

• Design and implement efficient web scraping and parsing solutions
• Work closely with project managers to address client needs
• Optimize applications to meet project requirements
• Proactively learn new technologies and improve existing workflows
   

Preferred Skills (Nice to Have):

• Experience with Nodriver
• JavaScript proficiency
• Familiarity with Mobile Application Scraping (Android, IOS)
• Familiarity with Pandas for data manipulation
• Experience with CAPTCHA-solving services like 2Captcha and AntiCaptcha
• AI prompting knowledge is a plus
   

If you're passionate about data extraction and looking for a challenging role in a supportive environment, we'd love to hear from you. Join WebParsers and help us push the boundaries of web scraping technology!

Department/Project Description

GlobalLogic is looking for a Software Engineer to join a dedicated team delivering a high-fidelity medical technology platform. This role is designed for a developer with a primary focus on backend services and cloud infrastructure, contributing to the development of a multi-region SaaS architecture. While your core strengths should lie in backend logic and cloud environments, you will also have the opportunity to support Vue.js frontend tasks as needed to ensure end-to-end feature delivery.

Job Description

• Professional Experience: 2–4 years of experience in software development.
• Backend Expertise: Solid foundation in Python development.
• Cloud Knowledge: Working experience with AWS services and an understanding of multi-region architectures.
• Frontend Awareness: Basic familiarity with Vue.js; willingness to learn and contribute to frontend tasks when necessary.
• Execution Focus: Proven ability to handle day-to-day implementation tasks and manage individual ticket assignments effectively.
• Regulated Industry: Familiarity with delivering software for regulated environments (e.g., medical devices or healthcare) is highly preferred.
• Communication: Effective verbal and written communication skills to collaborate within a distributed engineering team.

Job Responsibilities

• Backend Development: Implement and maintain scalable backend logic using Python-based services.
• Cloud Infrastructure: Support the development and optimization of services hosted within AWS environments.
• Full-Stack Flexibility: Contribute to Vue.js (2 & 3) frontend tasks when required to support the usability and tech debt workstreams.
• Backlog Execution: Own the day-to-day implementation of tasks within the project backlog, focusing on backend reliability and API performance.
• Performance & Observability: Assist in establishing performance baselines and improving service observability across the platform.
• Regulated Quality: Ensure all code contributions adhere to strict quality standards for regulated product delivery within the healthcare sector.
• Team Collaboration: Pair with senior engineers on complex tickets and participate in rotations to support infrastructure and platform work.

We are the Product Security team, responsible for the security, reliability, and trust of Raiffeisen Bank’s digital ecosystem.
Our mission is to embed security at every stage of the software development lifecycle and continuously strengthen the resilience of our services.

We are looking for an AI Engineer (Security) — a specialist who combines strong software engineering experience, hands-on expertise with LLMs and AI tools, and a desire to apply these skills within the cybersecurity domain.

In this role, you will design AI-driven solutions to automate security team processes, assess the security of AI systems implemented across business and IT, and help colleagues integrate AI into their daily workflows.

Your future responsibilities:

In this role, you will be responsible for designing and implementing AI solutions for security teams. You will build LLM agents, RAG systems, AI pipelines, and integrations using modern tools.

At the same time, you will implement a Shift-Left AI Security approach — embedding AI security checks early in the development lifecycle by integrating them into CI/CD pipelines and SSDLC processes. This includes:

• Analyzing AI-specific threats
• Managing Shadow AI risks
• Helping Security team to build tools for conducting security reviews of AI products before they go into production
• Defining architectural standards for AI security tooling across the organization
• Mentoring engineering teams on secure AI integration patterns and best practices
• Leading technical decision-making for AI security infrastructure choices

If you are passionate about combining artificial intelligence and cybersecurity in a complex, technology-driven financial environment — this role is for you.

Your skills and experience:

• 5+ years of software development experience
• Strong proficiency in Python and other programming languages for building automation, scripts, and integrations
• Hands-on experience with LLMs: prompt engineering, building chains/agents, working with model APIs (e.g., OpenAI, Anthropic)
• Experience with LLM frameworks
• Practical use of AI assistants in development (e.g., GitHub Copilot, Claude Code, Cursor or similar)
• Understanding of RAG architectures: vector databases, embedding models, chunking strategies
• Knowledge of OWASP Top 10 for LLM Applications
• Ability to rapidly prototype — from idea to working PoC in days, not months
• Experience influencing technical direction across multiple teams or projects
• Track record of knowledge transfer — documentation, workshops, or internal enablement

Will be a plus:

• Experience with model fine-tuning
• Knowledge of Cloud AI services: Azure OpenAI, AWS Bedrock, GCP Vertex AI
• Basic understanding of information security processes (SOC, Incident Response, AppSec, GRC)
• Familiarity with NIST AI RMF, EU AI Act, or other AI regulations
• Experience building multi-agent systems
• AI or Cloud certifications

Personal Qualities:

• Practitioner mindset — not just understanding LLMs, but having built real solutions
• Self-sufficiency — ability to take ownership from problem to solution without micromanagement
• Strong communication skills — able to explain complex topics in simple terms to non-AI teams
• Curiosity and adaptability in a fast-evolving AI landscape
• Focus on delivering measurable business value
• Ability to lead by expertise — guiding teams without formal authority

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn

Job description

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote - this role is available across all countries with 4hr+ overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll own end-to-end execution for backend systems and infrastructure
• You’ll build APIs, services, and real-time systems handling complex accounting logic
• You’ll collaborate with founders, product, and frontend engineering to turn complex workflows into secure, performant systems
• You’ll design, implement, and ship production-ready features at high speed
• You’ll manage data migrations, scaling challenges, external integrations, and end-to-end reliability
• You’ll drive measurable outcomes that accelerate DualEntry’s product velocity and stability

What sets you up for success

• Hardcore work ethic and high agency
• 8+ years of experience in backend engineering
• Proven track record in high-growth, high-ownership environments
• Strong skills in PostgreSQL, SQL, ORMs, migrations, and schema design
• Experience with AWS or comparable cloud infrastructure
• Strong API design and testing experience
• Understanding of CI/CD, deployment, and production readiness
• Bonus: expertise in Python and modern frameworks (FastAPI, Flask, or Django)
• Ability to manage complex systems with evolving requirements
• Fluent English (C1+) with clear communication

How You Operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Benefits & Perks

• Base Salary: $150,000 - $250,000 USD
• Equity: $50,000 - $80,000 USD
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
• Plus, wellness perks and more to make your workday even better!

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

We are looking for a Python Teach Lead to join our team!

Our client is a global enterprise software company building an AI-powered SaaS documentation platform on Microsoft Azure. The project focuses on enhancing a production-grade platform by improving architecture, CI/CD, test automation, and scalability. We're looking for a hands-on Python Technical Lead who will initially drive technical delivery and later build and lead a small engineering team in Europe.

Responsibilities:

• Lead the technical delivery of a Python engineering team, combining hands-on development with technical leadership and mentoring.
• Design and drive the platform architecture, focusing on CI/CD, observability, scalability, reliability, and production readiness.
• Review code, establish engineering best practices, and maintain high code quality in an AI-assisted development environment.
• Build and evolve a comprehensive test automation strategy (unit, integration, and end-to-end testing) to ensure reliable software delivery.
• Contribute directly to backend development, CI/CD pipelines, and platform improvements using Python and Microsoft Azure.
• Coordinate sprint activities, resolve cross-team dependencies, and collaborate closely with distributed engineering teams across Europe, the US, and India.
• Support the growth of the European engineering team and help establish a self-managed Scrum team.
• Share expertise in GitLab, CI/CD, and engineering practices through mentoring and knowledge transfer.

Requirements:

• 6-7+ years of commercial experience with Python and hands-on backend development.
• Previous experience as a Technical Lead or Lead Python Engineer, including architecture design, code reviews, mentoring, and technical decision-making.
• Experience building or scaling self-managed engineering teams.
• Strong experience with CI/CD pipelines, preferably GitLab CI (GitHub Actions is a plus).
• Hands-on experience with Microsoft Azure, including services such as App Services, Azure Functions, Key Vault, and Storage.
• Solid understanding of Docker and containerized applications.
• Experience designing and implementing test automation strategies (unit, integration, and end-to-end testing).
• Experience with Azure Application Insights or similar observability and monitoring solutions.
• Excellent communication skills and Upper-Intermediate+ English for collaboration with international stakeholders.

Nice to have:

• Experience defining non-functional requirements (performance, scalability, reliability, security).
• Knowledge of security and compliance practices, including release governance, vulnerability scanning, and dependency management.
• Experience working in enterprise environments with SSO, proxies, and compliance requirements.
• Understanding of Infrastructure-as-Code (IaC) concepts (Terraform or Bicep is a plus).
• Experience with monorepo architecture and tooling.
• Knowledge of multi-region cloud deployments.
• Experience with RAG-based applications, Azure AI Search, or AI indexing pipelines.
• Experience with React or frontend CI/CD.
• Experience leading teams working in AI-assisted development environments.

We’re looking for a Senior Backend Engineer to join a long-term remote role with one of our US-based clients in the hospitality / hotel tech space.

This is not a pure maintenance role. The team is actively evolving the architecture, improving the product, and building scalable solutions for a growing platform.

The ideal candidate is someone who is strong in Python, comfortable working with TypeScript, and able to make solid technical decisions independently.

Main requirements

• 5+ years of professional experience with Python — Django or FastAPI.
• Strong experience with TypeScript.
• Experience working with Google Cloud Platform — GCP.
• Advanced English level — C1.

• Experience with hotel / hospitality management systems is a strong plus.

   

Technical background we’re looking for

Strong understanding of Object-Oriented Programming, including encapsulation, inheritance, polymorphism, abstraction, SOLID principles, design patterns, dependency injection, and inversion of control.

Experience with software architecture concepts, including MVC / MVVM, RESTful API design, microservices vs monolithic architecture, separation of concerns, modular code organization, and Domain-Driven Design basics.

Good knowledge of data structures and algorithms, including arrays, hash tables, trees, graphs, sorting and searching algorithms, Big O notation, and efficient problem-solving.

Strong focus on code quality and best practices, including Clean Code, DRY, KISS, refactoring, code reviews, documentation, and maintainable development practices.

Experience with performance and optimization, including application performance, database query optimization, caching strategies, profiling and debugging tools, and memory management.

Understanding of security best practices, including OWASP Top 10, authentication and authorization, data validation and sanitization, SQL injection, XSS and CSRF prevention, secure data storage, encryption, and API security.

Solid experience with Git and development workflows, including branching, merging, rebasing, conflict resolution, Gitflow or trunk-based development, pull requests, code reviews, and semantic versioning.

Soft skills

• Ability to work independently and make technical decisions.
• Strong analytical and problem-solving skills.
• Self-motivated and proactive mindset.
• High attention to detail and code quality.
• Good time management and prioritization.
• Continuous learning mindset.

• Strong communication skills in English.

   

Nice to have

• AWS services such as S3 or CloudWatch.
• Oracle Hospitality or similar PMS integration experience.
• Previous experience in hospitality / hotel tech.

Work schedule

The schedule is aligned with Hawaii — HST and Pacific — PST time zones.

Work conditions

• Remote, full-time role.
• Diverse and challenging projects.
• Supportive and collaborative team.
• 12 vacation days per year.
• 5 sick days per year.
• English classes.
• Therapist and psychologist support for mental well-being.

About the project
Our client is a global enterprise software company building an AI-powered, RAG-based documentation platform delivered as production-grade SaaS. The platform is a set of ~10 containerized microservices — predominantly Python, with React front-ends — running fully on Microsoft Azure (App Services, Functions, Data Factory, AI Search, Blob Storage, Key Vault).

The team is hardening the platform for production: standardizing CI/CD, consolidating repositories into a single monorepo, introducing observability and a structured test-automation framework, and preparing for multi-region rollout (US, Europe, Asia). Development is heavily AI-assisted — currently 15–20 merge requests per week — so disciplined review and strong test automation are central to keeping quality and velocity in balance.

The client's existing team spans the US and India. This role is intended to anchor delivery from an overlapping European time zone: starting as a hands-on technical lead and growing into a self-managed scrum team of 3–4 engineers over the following one to two quarters, with the client's lead moving toward a product-owner / vision role.
 

What you'll do

• Act as technical lead for an embedded engineering team, starting hands-on and growing it from ~2 to 3–4 engineers toward a self-managed scrum team
• Own technical design and architecture decisions across CI/CD, observability, and platform hardening
• Lead code reviews and raise the quality bar — particularly important given AI-assisted development is generating 15–20 merge requests per week
• Introduce and enforce a pyramid-based test-automation / QA framework (unit → integration → E2E) that makes high merge-request throughput safe and sustainable
• Define and drive non-functional requirements — performance, reliability, scalability — across all services
• Run and support sprint ceremonies, coordinate cross-team dependencies, and act as the delivery anchor so the client's lead can focus on vision, acceptance, and dependency management
• Provide CI/CD and GitLab knowledge transfer to adjacent teams that have skill gaps in pipeline work
• Stay hands-on — write Python, build pipelines, and contribute to the test framework directly (this is a working technical lead, not a pure people-manager)
  
   

Must-have skills

• Senior-level Python — the platform is ~98% Python
• Proven technical leadership of small, distributed teams: design ownership, code review, mentoring, and sprint ceremony facilitation
• Strong CI/CD experience — GitLab CI required; GitHub Actions a strong plus (a migration to GitHub Enterprise is in progress)
• Hands-on Azure experience (App Services, Functions, Key Vault, Storage)
• Test-automation strategy and QA framework design (pyramid model)
• Docker / containers and working knowledge of Infrastructure-as-Code principles (Terraform or Bicep)
• Azure observability with Application Insights
• Strong English and stakeholder communication — comfortable operating across US, European, and Indian time zones

About Octocrew

Octocrew builds and runs managed AI coworker crews — small teams of specialist AI agents that work inside a company's existing tools and help human teams execute recurring operational and marketing workflows. We are expanding our contractor pool with practical engineers who can implement, integrate, tune, and support client AI agent workflows.

The role in one line

You take an approved requirements spec and turn it into a working agent system that fits the client's tools, data, permissions, and approval process. This is not a prompt-only role and not pure DevOps; it sits between backend engineering, automation, LLM application development, systems integration, and client implementation. You do not need to already know our full agent stack — we have templates and patterns, and we care more about whether you can become reliable fast.

What you will do

Translate a client workflow into a clear implementation plan: tools, data sources, permissions, approval points, edge cases, success criteria.

Build Python glue around AI workflows: API connectors, webhooks, small backend services, scripts, data syncs, and browser automation where APIs are limited.

Configure and tune LLM-powered workflows from our templates.

Integrate Slack, Telegram, Notion, GitHub, CRMs, ecommerce and marketing platforms, helpdesks, analytics, and internal knowledge bases.

Make implementations maintainable: logs, error handling, smoke tests, runbooks, handoff notes.

Support launched workflows: triage issues, debug integrations, fix regressions, and document changes.

What we expect

2+ years of backend, automation, integration, or applied software engineering experience.

Python-first engineering ability.

Solid API fundamentals: REST, webhooks, OAuth basics, retries, rate limits, request debugging, structured logs.

Some hands-on exposure to LLM tools or AI automation, or strong motivation to learn them quickly with guidance.

Comfort working with messy real-world systems: unclear requirements, imperfect docs, partial APIs, edge cases.

Basic DevOps literacy: Linux, Docker basics, environment variables, logs.

Pragmatic scoping and a self-directed work style.

Ukrainian for team communication; working English for documentation and APIs.

Nice to have

Integrations experience (Slack, Telegram, Notion, GitHub, Google Workspace, CRM, helpdesk, ecommerce, analytics); OpenAI / Anthropic / Gemini, RAG, vector search, or agent orchestration; Playwright; client-facing experience; security and data-handling awareness.

Format

Contractor / project-based, remote. Start with a compact paid pilot task that mirrors real client work, then project delivery and/or ongoing support. Compensation hourly or project-based, agreed after technical fit and scope.

🚀 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

📍 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily. 

About the Role:

You will join an autonomous team formed to pioneer agentic, AI-first workflows within a production-grade maritime intelligence platform.
You will own the design, delivery and operation of backend services that power generative AI agents at scale, influence core architectural decisions, and drive AI-SDLC standards across the organization.

📍 Key Responsibilities:

• Architect and build scalable microservices in Python to support agentic workflows and data pipelines within a distributed system, contributing to frontend development when needed (React).
• Lead integration of generative AI capabilities – LLM APIs, RAG pipelines and autonomous agents – into production environments.
• Implement operational practices and observability for AI components, including monitors for model drift, hallucination detection and performance metrics.
• Establish and enforce AI-SDLC practices: code reviews, automated testing, CI/CD pipelines and continuous trace-based quality evaluations.
• Design and maintain infrastructure as code using Terraform, Kubernetes (K8s) and related AWS services.
• Drive improvements in engineering speed and quality through tooling, automation and architectural enhancements.
• Mentor engineers on emerging AI frameworks, developer tools and best practices for high-scale agentic development.
• Collaborate with product and research teams to translate user requirements into reliable, secure backend services.

📍 Required Competence and Skills:

• 7+ years of professional backend engineering experience, including at least 2 years building agentic or autonomous AI workflows in production.
• Deep experience with Python.
• Hands-on experience in agentic frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, Hermes (or equivalent).
• Proven track record designing scalable, event-driven architectures on AWS, including messaging (SQS/SNS) and SQL/NoSQL databases.
• Strong understanding of GraphQL or REST API design and DevOps practices, including CI/CD, Kubernetes, and Terraform.
• Skilled in implementing production-grade security, monitoring and incident response for mission-critical systems.

Nice to Have:

• Experience with React.js and full-stack development.
• Familiarity with vector databases and similarity search for AI applications.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

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