🚀 Launch Your Tech Career with the “Beca de Excelencia Fever” in Software Engineering

There is a belief that only Silicon Valley can create global technology leaders and that the best career opportunities are outside our borders. But Fever was born with the opposite belief: Spain has world-class talent, and from Spain you can build a global tech leader.

That’s why the “Beca de Excelencia” was created: to support and retain exceptional talent and accelerate the careers of future top engineers.

Our goal is to offer students the opportunity to start their professional career in a high-performing engineering team, surrounded by international professionals, an entrepreneurial mindset, and leaders in their respective fields.

Get all the information about the program in becasexcelencia.com

Why join us?

Because you won’t just be an intern — you’ll be a full member of the engineering team in a global tech company.

Fever has already found product-market fit and reached break-even, and we are now in a stage of strong execution and scaling. That means real challenges, real impact, and real ownership.

You’ll work alongside experienced engineers in software, product, data, growth and operations, on projects that impact millions of users. At Fever, Software Engineers have a high level of ownership. That means you will be involved end-to-end, from understanding the problem and designing the solution, to coding, deploying to production and monitoring performance. 

Engineering at Fever

As a Software Engineer at Fever, you will have real ownership from day one. Engineers are responsible end-to-end: understanding the problem, designing the solution, implementing it, deploying it to production and monitoring its performance.

We build scalable systems using a distributed services architecture, applying best practices such as Domain-Driven Design and clean architecture principles.

Tech environment

While this is a graduate program, you will be working with modern production systems and technologies used at scale.

Our core stack includes:

• Backend: Python (Django / FastAPI)
• Frontend: TypeScript with Angular
• Infrastructure: AWS, Docker and Kubernetes
• Architecture: REST APIs and event-driven systems

We focus on building reliable, scalable software used by millions of users worldwide.

What do we offer?

• A 6-month full-time placement (with the possibility to extend another 6 months) —and if things go great, a permanent contract afterwards.
• Compensation up to €24,000 per year for full-time.
• The first 6 months located at our offices in 📍 Madrid or 📍Barcelona.
• Compatibility with other university excellence scholarships.
• English classes to support your growth.
• A 40% discount on all Fever plans.
• Flexible remuneration with Cobee, gympass and private medical insurance. 
• Be part of a mission-driven tech company that’s transforming how millions discover live entertainment every month.

Who are we looking for?

• You’re in your final year of an engineering degree or you’ve just graduated (any engineering discipline).
• Your academic record is outstanding — you’re in the top 10% of your cohort.
• You’re excited about software development, tech solutions and building products that scale.
• You thrive in high-performance environments and have the skills and mindset to hit the ground running.

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Scopely is looking for a Server Engineer to join our Star Trek Fleet Command team within our Live Games Portfolio division, based remotely in Spain.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

Star Trek Fleet Command is a standout success in the gaming industry. Launched in 2018, our in-house developed 4X Strategy MMO has continually evolved, earning its place as one of the top-grossing games on the market.

We are seeking a backend Engineer to join our team and build both game server systems and platform microservices that power our live products. In this role, you will contribute to evolving our backend technology stack to support scalable game features, platform services, and a high-quality player experience, with the opportunity to develop your skills in distributed systems, cloud infrastructure, and game backend development while working on live products at scale.

What You Will Do

What We're Looking For

• Understanding of web fundamentals (HTTP, REST APIs, request/response lifecycle, status codes, etc.).
• Familiarity with distributed systems concepts and microservices architectures, including service communication, data consistency, and fault tolerance in high-traffic environments.
• Proficiency in Python and familiarity with frameworks such as FastAPI, Flask, or Tornado, and an understanding of async programming and concurrency.
• Experience working with and maintaining existing backend systems in production environments.
• Experience debugging issues in production environments, identifying and helping resolve performance issues
• Understanding of SQL and/or NoSQL databases (e.g., MySQL, Postgres, DynamoDB).
• Familiarity with Linux environments, Docker containers, and cloud platforms (preferably AWS).
• Understanding of backend security fundamentals and willingness to learn best practices.
• Experience with version control, CI/CD pipelines, and automated testing.
• Ability to collaborate effectively with client engineers and cross-functional teams to deliver end-to-end features.
• Strong problem-solving skills and eagerness to learn and grow as an engineer.

Bonus Points

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Please ensure that the résumé/CV you attach is written in English.

Scopely is looking for a Server Engineer to join a new truly unique multiplayer strategy game in Barcelona, Spain on a hybrid basis. We can support with visa sponsorship.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.    

We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey!   

What You Will Do    

• Work in a team responsible for designing, developing and maintaining backend services and APIs in Python running on AWS
• Design and implement new features in our core technologies, working collaboratively with other stakeholder teams to understand requirements and identify the best technical solutions as well as plan the future of our server core technologies that will lay the foundation for exciting new gameplay features
• Inspect the performance of our server clusters and propose improvements
• Deep analysis of player behaviors and how our server can be hardened to both improve player experience and also defend against bad actors (botters, cheaters, etc)
• Work closely with the QA team to resolve bugs and deliver high quality code as well as Deploy, monitor, and manage applications in a cloud environment such as AWS
• Stay up-to-date with industry changes and emerging trends, especially regarding Python, Redis and its ecosystem, AWS, Gaming, etc

What We’re Looking For   

• Highly experienced being part of a professional development team or other relevant area
• Experience in developing highly available back-end systems and servers for large-scale MMO games, high-traffic web systems or applications
• Experienced with Python and its ecosystem (libraries, frameworks, etc.), familiarity with web frameworks such as Flask, Tornado, FastAPI, or another similar web framework and Python threading, as well as the principles of async programming
• Familiar in design and implementation of highly-scalable, reliable, and secure systems using Redis and its ecosystem, such as Redislabs. Solid understanding of RESTful API design and development. Ability to write efficient low-latency, low-IO code
• Strong knowledge of Linux operating systems and Docker containers, as well as Redis, MySQL (or similar database systems). Good understanding of how to prevent intrusions, injections, cheating etc.
• Experience in version control, especially multi-track development and familiarity with deployments methodologies and CI/CD pipelines as well as automated testing
• Experience with stateful and stateless game server architectures

Bonus Points   

• Familiarity with messaging systems such as RabbitMQ, AWS SQS, Redis Streams
• Experience working with AWS services like EC2, ECR, RDS, S3, and IAM
• Knowledge of Infrastructure-as-Code (IaC) and experience with Terraform for managing infrastructure deployment
• Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing
• Experience with traffic analysis via Charles proxy, browser developer tools, Datadog, logs
• Understanding Kibana / Datadog log querying and dashboards

We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.

Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.

You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.

You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.

Responsibilities:

• Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.
• Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.
• Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.
• Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.
• Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.

Requirements:

• 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
• Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
• Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
• Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
• Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
• Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.
• Familiarity with real-time model inference systems and ensuring compatibility with downstream services.
• Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.
• Good understanding of Docker containers, Kubernetes, and basic networking concepts.
• Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).
• Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).
• Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.
• Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.
• Strong English communication skills.

Nice to have:

• Exposure to very high-load, low-latency ML inference environments.
• Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
• Familiarity with Databricks Asset Bundles.
• Understanding of ONNX or other portable model serialization formats.
• Ability to work with Rust programming language.
• Familiarity with transformer architectures, encoder-decoder models, or sequence modeling approaches.
• Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.
• Experience with MinIO or other S3-compatible storage systems.
• Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low-latency scenarios.
• Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).

This position supposes relocation to Barcelona and work from our office in the city center.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Full Stack Engineer (Python, React w/ Typescript)

The Role

As a Full-Stack Engineer, you will build and scale user-facing applications and backend services that support complex data-driven workflows. You will contribute across the stack, from designing APIs in Python to developing intuitive interfaces in React. This role provides meaningful ownership of features that directly impact customers and internal stakeholders.

What You’ll Do

• Design and implement backend services using Python and Django/Flask/FastAPI
• Build responsive, maintainable front-end applications using React with TypeScript
• Develop and maintain RESTful APIs and data models
• Collaborate with Product and Design partners to deliver high-quality features
• Write automated tests and participate in code reviews to ensure reliability
• Optimize application performance, scalability, and security

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 2+ years of full-stack software development experience for junior candidates; 5+ years for senior candidates
• Professional experience building backend services in Python and Django/Flask/FastAPI
• Experience developing front-end applications using React
• Experience working with relational databases and version control systems
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practice

Preferred Qualifications

• Experience designing and maintaining RESTful APIs in production environments
  Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience implementing CI/CD pipelines
• Familiarity with architectures spanning cloud and on premises infrastructure
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Your mission

At Bitpanda, we're building a powerful system that handles prices and risk management for various types of investments like stocks, crypto, ETFs, metals, and fiat currencies. You’ll help add new assets to our platform, work with new exchanges, and create tools like price charts and systems for crypto products with leverage. This is a key role where you'll help us build the technology that makes trading and investing in different assets fast, reliable, and easy to use for everyone.

What you’ll do 

• Drive core technical decisions that shape our architecture, engineering practices, and long-term team vision
• Build high-performance, scalable backend systems using Python that power Bitpanda’s core trading infrastructure
• Design and maintain clean, testable, and maintainable code across a robust microservice ecosystem
• Lead the evolution of our event-driven architecture, helping scale systems for future growth
• Tackle complex, cross-domain challenges in pricing, hedging, and asset management across crypto, stocks, metals, and more
• Work in a high-impact environment where your code directly supports critical business functions across the company

Who you are

• Strong hands on Python development experience in product-driven environments, building real-world, scalable systems that solve big problems
• A deep understanding of RESTful APIs and websockets, with the ability to design fast, reliable, and clean APIs using FastAPI
• Experience working with relational and NoSQL databases, always keeping performance and scalability top of mind
• Strong leadership skills to drive technical initiatives, influence the team’s direction, and guide key architectural decisions
• Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ — you know how to keep data flowing seamlessly
• Bonus points if you’ve worked with AWS, have an interest in crypto, blockchain, or stock markets

Your mission

At Bitpanda, we're building a powerful system that handles prices and risk management for various types of investments like stocks, crypto, ETFs, metals, and fiat currencies. You’ll help add new assets to our platform, work with new exchanges, and create tools like price charts and systems for crypto products with leverage. This is a key role where you'll help us build the technology that makes trading and investing in different assets fast, reliable, and easy to use for everyone.

What you’ll do 

• Drive core technical decisions that shape our architecture, engineering practices, and long-term team vision
• Build high-performance, scalable backend systems using Python that power Bitpanda’s core trading infrastructure
• Design and maintain clean, testable, and maintainable code across a robust microservice ecosystem
• Lead the evolution of our event-driven architecture, helping scale systems for future growth
• Tackle complex, cross-domain challenges in pricing, hedging, and asset management across crypto, stocks, metals, and more
• Work in a high-impact environment where your code directly supports critical business functions across the company

Who you are

• Strong hands on Python development experience in product-driven environments, building real-world, scalable systems that solve big problems
• A deep understanding of RESTful APIs and websockets, with the ability to design fast, reliable, and clean APIs using FastAPI
• Experience working with relational and NoSQL databases, always keeping performance and scalability top of mind
• Strong leadership skills to drive technical initiatives, influence the team’s direction, and guide key architectural decisions
• Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ — you know how to keep data flowing seamlessly
• Bonus points if you’ve worked with AWS, have an interest in crypto, blockchain, or stock markets

**We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.

Your mission

At Bitpanda, we're building a powerful system that handles prices and risk management for various types of investments like stocks, crypto, ETFs, metals, and fiat currencies. You’ll help add new assets to our platform, work with new exchanges, and create tools like price charts and systems for crypto products with leverage. This is a key role where you'll help us build the technology that makes trading and investing in different assets fast, reliable, and easy to use for everyone.

What you’ll do 

• Drive core technical decisions that shape our architecture, engineering practices, and long-term team vision
• Build high-performance, scalable backend systems using Python that power Bitpanda’s core trading infrastructure
• Design and maintain clean, testable, and maintainable code across a robust microservice ecosystem
• Lead the evolution of our event-driven architecture, helping scale systems for future growth
• Tackle complex, cross-domain challenges in pricing, hedging, and asset management across crypto, stocks, metals, and more
• Work in a high-impact environment where your code directly supports critical business functions across the company

Who you are

• Strong hands on Python development experience in product-driven environments, building real-world, scalable systems that solve big problems
• A deep understanding of RESTful APIs and websockets, with the ability to design fast, reliable, and clean APIs using FastAPI
• Experience working with relational and NoSQL databases, always keeping performance and scalability top of mind
• Strong leadership skills to drive technical initiatives, influence the team’s direction, and guide key architectural decisions
• Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ — you know how to keep data flowing seamlessly
• Bonus points if you’ve worked with AWS, have an interest in crypto, blockchain, or stock markets

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide. AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.

WHO WE'RE LOOKING FOR 🌟

We’re hiring a Senior Python Engineer to help build Conversational AI inside Manychat — a production system that enables creators to manage high-volume Instagram conversations at scale. This team is solving that problem by building AI-powered experiences that help creators respond faster, convert more leads, and focus on growing their business. Your work will directly influence how conversations turn into measurable business outcomes.

This role is ideal for someone who thrives in high-load, real-world backend environments and enjoys tackling the practical challenges of production AI: reliability, latency, observability, quality control, and safe behavior at scale. You take ownership, think in systems to turn ambiguity into shipped, impactful solutions.

YOUR FUTURE TEAMMATES 👋

Meet the AI team:

We build AI systems from the ground up — not research silos, but production-ready services that power Manychat at scale. Our strong Python foundation fits naturally into a high-load, product-driven environment.

We collaborate closely with AI Experts, Product Managers, Designers — contributing to architecture, delivery, and reliability decisions that drive speed, stability, and impact.

WHAT YOU'LL DO 🚀

• Design, build, and scale AI-powered backend services embedded directly into the Manychat platform.
• Architect scalable, async Python services operating in high-load, production environments.
• Integrate LLM providers (OpenAI, Azure-hosted models, etc.) with a strong focus on reliability, latency, and cost-efficiency.
• Design and maintain internal and external APIs, ensuring scalability and resilience.
• Own features end-to-end — from discovery and technical design through production deployment, monitoring, and iteration.
• Make architectural decisions that balance speed, scalability, and long-term maintainability.
• Ensure production reliability through strong observability practices (monitoring, logging, alerting).
• Implement and maintain high-quality unit and integration test coverage.
• Contribute to CI/CD pipelines and continuously improve release processes.
• Collaborate cross-functionally with Product, Design, AI experts, and Platform teams in a Scrum environment.
• Connect engineering decisions to measurable product and business impact.

TO SHINE IN THIS ROLE 💥

You’ll need:

• 5+ years of commercial Python development in production environments.
• Strong expertise in modern Python frameworks (FastAPI preferred; Django/Flask acceptable).
• Solid experience designing and integrating APIs (including third-party services).
• Strong understanding of async programming and concurrency (AsyncIO, non-blocking I/O).
• Experience working with PostgreSQL and large datasets.
• Experience building and maintaining high-load backend systems.
• Strong testing practices (unit and integration tests; PyTest preferred).
• Experience with CI/CD pipelines and Docker.
• Strong ownership and product mindset — able to align with stakeholders and connect engineering work to business impact.

It would be great if you have:

• Experience integrating LLMs or AI/ML features into production systems.
• Understanding of AI/ML concepts applied in real-world products.
• Experience with cloud platforms (AWS, Google Cloud, Azure).
• Experience with containerization (Docker).
• Familiarity with observability tools (Grafana, Prometheus).
• Experience with Meta or TikTok APIs.
• Exposure to distributed systems architecture.

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for you and your family.
• 📚 Professional development budget for conferences, courses, and learning resources.
• 🫶 Flexible benefits package tailored to your priorities.
• 🪴 Hybrid work and generous leave options for work-life balance.
• 🍽️ In-office perks including free meals and snacks.
• 🤝 Company-funded sports activities, annual offsites, and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide.

AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.

WHO WE'RE LOOKING FOR 🌟

We’re hiring a Senior Python Engineer to join our Data Product Team and help power the analytics behind Manychat’s growth.

You’ll work on a high-load, near real-time platform that transforms large volumes of platform data into personalized insights seen by millions of users. The features you build will directly impact activation, retention, and revenue.

As part of a small, high-impact team, you'll own the data platform end to end, including data warehouse and ManyChat platform integrations, high-load APIs, and data aggregation pipelines. You’ll help scale performance, evolve our architecture, and influence Python engineering standards across the company.

If you care about building scalable systems, working close to the product, and seeing measurable business impact from your code, this role is for you.

WHAT YOU'LL DO 🚀

• Build and maintain data platform that power Manychat’s analytics and insights features
• Design and implement async APIs using Python and FastAPI
• Develop and optimize ETL flows that transfer data from DWH (Snowflake) into PostgreSQL for fast and reliable access
• Design caching strategies using Redis to balance performance and data freshness
• Improve system reliability, observability, and performance under high load
• Collaborate closely with product teams across the entire product organization, partnering with all major product domains to deliver data and insights that power key user experiences
• Contribute to architectural decisions as the platform evolves toward more event-driven patterns
• Own features end to end from data modeling and API design to deployment and monitoring
• Help establish engineering best practices for Python services across Manychat

TO SHINE IN THIS ROLE 💥

You’ll need:

• 5+ years of software engineering experience, including 3+ years of deep, hands-on Python expertise. Strong background in designing and building scalable, high-load, production-grade systems with extensive use of asynchronous programming
• Hands-on experience designing and building REST APIs with FastAPI or a similar async framework
• Strong knowledge of relational databases and SQL, preferably PostgreSQL, including query optimization and performance tuning
• Experience working with caching (Redis/Valkey or similar), with a solid understanding of cache invalidation strategies
• Proven ownership of services end to end, including CI/CD pipelines, production deployments, monitoring, and ongoing performance improvements
• Strong understanding of system design and scalable architecture principles, with the ability to reason about reliability, consistency, and data freshness
• Experience collaborating cross-functionally with product and engineering teams and delivering user-facing product features in fast-paced environments
• Clear communication skills and the ability to explain technical tradeoffs while maintaining a high bar for code quality, testing, and maintainability

It would be great if you have:

• Experience building data platforms or analytics products
• Hands-on experience with Snowflake, ClickHouse, or other OLAP dbs
• Familiarity with event-driven architecture patterns
• Experience with Kubernetes, Docker, Helm, Terraform, and AWS
• Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry
• Exposure to AI or machine learning driven product features
• Interest in growing into a Technical Lead role as the team expands

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for you and your family.
• 📚 Professional development budget for conferences, courses, and learning resources.
• 🫶 Flexible benefits package tailored to your priorities.
• 🪴 Hybrid work and generous leave options for work-life balance.
• 🍽️ In-office perks including free meals and snacks.
• 🤝 Company-funded sports activities, annual offsites, and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work across applied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.

This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.

WHAT YOU’LL DO 🤖

• Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
• Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
• Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
• Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind.

TO SHINE IN THIS ROLE 💥      

          Machine Learning & LLM Expertise

• Solid understanding of ML algorithms, metrics, search, RAG, and agent design. 
• Experience with frameworks like LlamaIndex, LangChain, or similar.
• Hands-on tuning with PyTorch, TensorFlow.
• Experience with LLM evaluation and benchmarking.
  
  Engineering Skills
• Strong Python engineering background, ideally three or more years in production environments.
• Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
• Familiarity with cloud environments and monitoring is a strong plus.
  
  Collaboration & Ownership
• Clear communication in English.
• Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
• Product mindset and comfort working in a fast-moving environment.

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work across applied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.

This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.

WHAT YOU’LL DO 🤖

• Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
• Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
• Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
• Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind.

TO SHINE IN THIS ROLE 💥     

          Machine Learning & LLM Expertise

• Solid understanding of ML algorithms, metrics, search, RAG, and agent design. 
• Experience with frameworks like LlamaIndex, LangChain, or similar.
• Hands-on tuning with PyTorch, TensorFlow.
• Experience with LLM evaluation and benchmarking.
  
  Engineering Skills
• Strong Python engineering background, ideally three or more years in production environments.
• Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
• Familiarity with cloud environments and monitoring is a strong plus.
  
  Collaboration & Ownership
• Clear communication in English.
• Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
• Product mindset and comfort working in a fast-moving environment.

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.