As EuroPython 2026 approaches and we prepare for another exciting edition, we’d like to thank our community and sponsors for their continued support.

We’re also pleased to share some fantastic job opportunities from our sponsors. Take a look and perhaps you’ll discover your next role.

ActiveCampaign

Software Engineer, Agent Development

About ActiveCampaign

ActiveCampaign is the autonomous marketing platform for people at the heart of the action. It empowers teams to automate their campaigns with AI agents that imagine, activate, and validate–freeing them from step-by-step workflows and unlocking limitless ways to orchestrate their marketing.

With AI, goal-based automation, and 1,000+ app integrations, agencies, marketers, and owners can build cross-channel campaigns in minutes–fine-tuned with billions of data points to drive real results for their unique business.

ActiveCampaign is the trusted choice to help businesses unlock a new world of boundless opportunities–where ideas become impact and potential turns into real results.

As a global multicultural company, we are proud of our inclusive culture which embraces diverse voices, backgrounds, and perspectives. We don’t just celebrate our differences, we believe our diversity is what empowers our innovation and success. You can find out more about our DEI initiatives here.

About the job

ActiveCampaign is seeking a Software Engineer to join our Kraków Hub and build production-ready AI agents for autonomous marketing. Our platform empowers businesses to automate their customer engagement — and we are now extending that with intelligent, agentic workflows that can reason, act, and adapt on behalf of our customers. Our first wave of agents is already in production. This role will drive the expansion, building the next generation of autonomous experiences across the full breadth of the platform.

You 'll work at the intersection of solid software engineering and applied AI — designing, building, evaluating, and operating agents that run at scale in a production marketing automation platform. This means engineering rigor comes first: agents need to be reliable, observable, performant, and safe before they are clever.Our Kraków Hub houses multiple engineering teams — Forms, Integrations, Ecommerce, Agency, CRM, Mobile, CampaignsUI, and Content — working across different product pillars with a shared focus on building agentic workflows into all core functionalities across the platform. You will collaborate closely with these teams, understanding their domains and building agents that integrate seamlessly into the broader system,This is not a pure research or ML role. We need engineers who can build — end to end — from prompt design through backend orchestration to frontend integration, and who can ship, measure, and iterate fast. Our environment moves quickly — we value high ownership, tight feedback loops, and close cross-functional collaboration. If you thrive in a hands-on, high-pace setting where you build, ship, and iterate rapidly, this role is for you.

What Your Day Could Consist Of

• Designing and building production-grade AI agents and autonomous marketing workflows across the ActiveCampaign platform
• Implementing multi-step agentic flows involving LLM orchestration, tool use, and integration with platform services
• Working with LLM APIs (prompt engineering, response handling, evaluation) and building reliable, testable agent pipelines
• Designing and running agent evaluations — building eval frameworks, defining quality metrics, and continuously measuring agent accuracy, reliability, and performance in production at scale
• Monitoring and optimizing agent performance — latency, cost, token usage, error rates — and iterating rapidly based on production dataIterating on agent behavior based on user feedback, observability data, and quality metrics
• Leveraging AI-assisted development tools and practices in your daily workflow — you don't just build AI features, you build with AI
• Writing production-quality code in Python for agent services and backend orchestration
• Contributing to PHP backend and frontend (React/Ember) integration points where agents interact with the core platform
• Building and maintaining APIs, data flows, and service interfaces that agents depend on
• Working iteratively — shipping code fast, learning from production, and improving continuously
• Ensuring code quality through testing, code review, and adherence to engineering standards
• Participating in on-call rotation for incidents related to agent services
• Working closely with Product, Design, and domain engineering teams to define agent capabilities and user experiences
• Engaging in pairing and code reviews across teams
• Contributing to documentation of agent architectures, patterns, and best practices
• Maintaining regular overlap with US-based teams (Chicago timezone) to ensure alignment and tight collaboration across the organization

What We're Looking For

• 2-4 years of experience in a software engineering role
• Hands-on experience building and running AI agents or agentic workflows in a production environment — not just prototypes or side projects
• Experience with agent evaluation and performance optimization — you know how to measure whether an agent is working well and how to make it better
• Solid backend development skills in Python; working familiarity with PHP is a plus
• Understanding of how to build reliable, testable, and observable systems
• Active practitioner of AI-driven development — you use AI coding assistants and agentic development tools as part of how you work, not just what you build
• Ability to work iteratively and ship code fast — you're comfortable with rapid release cycles and learning from production
• Familiarity with DB technologies: MySQL, DynamoDB, Redis
• Strong problem-solving skills and ability to work across multiple codebases and technologies
• Fluent in English (B2 minimum)
• Willingness to work flexible hours with regular afternoon availability to overlap with US Central timezone
• Experience with agentic AI frameworks or multi-agent orchestration patterns
• Familiarity with Model Context Protocol (MCP) or tool-use patterns for LLM agents
• Experience building eval pipelines or quality measurement systems for LLM-based features
• Frontend experience with React or EmberFamiliarity with AWS, CI/CD practices, and observability tooling
• Understanding of prompt engineering, evaluation methodologies, or LLM fine-tuningExperience in SaaS, marketing automation, or CRM domain

What We Offer

• A front-row seat in ActiveCampaign's AI-first transformation — you'll build the autonomous marketing agents customers interact with
• Collaboration with experienced engineers across the Kraków Hub, including senior and staff-level technical leadership
• An environment that values ownership, fast iteration, and learning by doing
• Active investment in AI-first engineering practices and tooling
• Hybrid work model from our Kraków office with flexibility to adjust working hours for collaboration with US-based teams (Chicago timezone overlap)

This is an exciting time to join ActiveCampaign as we build out our new office in Poland. You will be a large part of developing our office culture in this new Krakow hub location.

Perks And Benefits

At ActiveCampaign, we prioritize employees’ well-being and professional growth by cultivating a culture centered on collaboration and innovation. When you join our team, you’ll not only have the opportunity to make a significant impact, but also enjoy a range of benefits tailored to support your personal and career development.

Here Are Some Of The Benefits We Offer

• Comprehensive Health & Wellness: Top-tier benefits package that includes medical and dental benefits paid 100% by ActiveCampaign for you and 50% for your dependents, and reimbursements on vision expenses. In addition, employees receive complimentary access to telehealth services, and a free subscription to Calm.
• Growth & Development: Access to LinkedIn Learning, professional development programs, and career growth opportunities in a fast-growing organization.
• Generous Paid Time Off: Recharge and take the time you need to maintain work-life balance.
• Total Rewards: Pension scheme with matching up to 1.5% of your contribution, MultiSport Plus card to support your active lifestyle, home office stipend to cover your commuter or work from home expenses, and a four-week paid sabbatical with bonus after five years.
• Collaborative Culture: Work alongside brilliant, passionate colleagues in an environment that values innovation, teamwork, and mutual support.

ActiveCampaign is an equal opportunity employer. We recruit, hire, pay, grow, and promote no matter of gender, race, ethnicity, sexual orientation, marital status, political opinion, national origin, social origin, parentage, workers union membership, economic status, religion, age, health condition, disability or any other grounds protected by law.

Our Employee Resource Groups (ERGs) strive to foster a diverse inclusive environment by supporting each other, building a strong sense of belonging, and creating opportunities for mentorship and professional growth for their members.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Compensation details listed in this posting reflect the base rate only and do not include bonus, equity, sales incentives or other role specific compensation that the role may be eligible for. ActiveCampaign believes in and is committed to equitable compensation practices. The salary range provided above is a good faith estimate of the pay range determined by the location associated with the job posting. The actual salary depends on a candidate’s skills, experience, and work location.

Job site: https://www.activecampaign.com/careers/software-engineer-agent-development_3e093aec-8540-49c7-93f1-719727c1191d

Apply here: https://jobs.lever.co/activecampaign/3e093aec-8540-49c7-93f1-719727c1191d/apply

Apify

Software Engineer for Fraud Prevention (TypeScript)

About Apify:

Apify is the largest marketplace of tools for AI. 40,000 Actors helping people and agents get real-time web data, track competitors, generate leads, or integrate their apps. Actors are built by a global creator community that now earns more than $1M every month.

Software Engineer for Fraud Prevention (TypeScript)

Job description:

As our Fraud Engineer, you will design and build systems to stop bad actors in real time. You'll investigate new attack patterns, deploy quick fixes, and create internal tools to handle incidents. It's a hands-on role where you will work with security and product teams to keep our AI platform safe without slowing down legitimate users.

How to apply: https://jobs.ashbyhq.com/apify/7c93886a-9f1d-4ed9-ba71-d753c8f34c82?utm_source=career_page_apify

BCG X

Forward Deployed AI Engineer

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

Our Forward Deployed AI Engineer and Senior Forward Deployed AI Engineer are part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.

We are looking for dedicated individuals with a passion for software development, large-scale data analytics and redefining organizations into AI led innovative companies. Successful candidates possess the following:

• Apply software development practices and standards to develop robust and maintainable software
• Actively involved in every part of the software development process
• Experienced at guiding non-technical teams and consultants in best practices for robust software development
• Optimize and enhance computational efficiency of algorithms and software design
• Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
• Enjoy collaborating in teams to share software design and solution ideas
• A natural problem-solver and intellectually curious across a breadth of industries and topics
• Fluency in both Italian and English

What You'll Bring

Requirements:

• Master's or PhD degree program in Computer Science, Data Science, Statistics, Operations Research, or related field

Technologies

• Programming: Python, Java/Scala
• Frameworks/Libraries: TensorFlow, PyTorch, Scikit-learn, Keras
• Data Processing: NumPy, Pandas, Apache Spark, Dask
• Cloud Platforms: AWS (SageMaker, EC2), GCP (AI Platform), Azure (ML Studio)
• DevOps: Docker, Kubernetes, Terraform, Jenkins
• Data Visualization: Matplotlib, Seaborn, Plotly/Dash, Tableau
• Tools: Jupyter Notebooks, Google Colab, Git (GitHub/GitLab), MLflow, TensorBoard
• Deployment: Flask, FastAPI, TensorFlow Serving, Streamlit

Apply: https://careers.bcg.com/global/en/job/55983/Forward-Deployed-AI-Engineer-Italy-BCG-X

Bloomberg

Senior Software Engineer - AI App Enablement & Observability

📍Location: Dublin

Description & Requirements

Platform Engineering builds the core platforms, tooling, and paved roads that Bloomberg engineers rely on to ship reliable, secure, and high-performing systems at scale.The AI App Enablement & Observability team accelerates how AI products are built across Bloomberg Industry Group. Our mission is to make AI systems reliable, performant, cost-efficient, and continuously improving through platform tooling, deep observability, and automated feedback loops.We build developer-facing platforms and workflows that enable teams to experiment, deploy, and operate AI and agent-based systems with confidence. This includes LLM gateways, agent platforms, benchmarking systems, telemetry pipelines, and self-improving infrastructure that closes the loop between observability and action. We emphasise strong developer experience, intuitive APIs/SDKs, and end-to-end ownership.

What’s in it for you?

You will help define how Bloomberg Industry Group builds and operates AI systems at scale by working on platforms that:

• Accelerate AI product development through reusable tooling and paved roads
• Provide end-to-end observability across AI systems (models, agents, pipelines, applications)
• Enable self-improving systems through telemetry-driven feedback loops
• Optimise cost, performance, and reliability of AI workloads
• Support both production AI systems and internal engineering agents

You’ll collaborate across AI product, infrastructure, and platform teams to deliver foundational systems.

We’ll trust you to:Platform & Enablement

• Build and evolve AI platform tooling (e.g., developer workflows, benchmarking systems)
• Design developer-friendly APIs, SDKs, and interfaces
• Contribute to systems across the Model Development Lifecycle (experimentation, deployment, evaluation)

Observability & Telemetry

• Build and operate observability platforms and telemetry pipelines (logs, metrics, traces, events)
• Provide visibility into latency, token usage, cost, quality, drift, and reliability
• Define instrumentation standards, schemas, and conventions
• Implement distributed tracing using modern approaches (e.g., OpenTelemetry)

AI System Insights & Debugging

• Enable end-to-end debugging of AI and agent workflows (model calls, tool usage, retrieval, orchestration)
• Build benchmarking, regression detection, and performance analysis capabilities
• Support observability for both production systems and internal engineering agents

Closed-loop Optimization & Automation

• Develop systems that turn telemetry into action (automated experimentation, regression detection, alerting)
• Build feedback loops that continuously improve model quality and system behavior
• Enable self-healing and self-optimising workflows

Cost, Performance & Reliability

• Build tooling for cost visibility, forecasting, and optimization
• Define SLOs, alerting, and performance tuning practices
• Improve reliability and scalability of AI infrastructure

Ownership & Collaboration

• Own projects end-to-end (RFCs, architecture, implementation, rollout, production support)
• Partner with AI teams to drive adoption of platform tooling and standards
• Produce high-quality documentation and improve developer experience

You’ll need to have:

• Demonstrated experience building production software or platform systems
• Strong engineering fundamentals with distributed systems or backend platforms
• Experience or strong interest in observability and debugging complex systems
• Experience or strong interest in AI/ML systems, LLMs, or agent-based architectures
• Strong ownership mindset and ability to drive ambiguous problems to production
• Hands-on experience with modern agentic coding tools and multi-model workflows
• Working knowledge of agent architecture internals (context engineering, tool loops, sub-agent orchestration)

We’d love to see:

• Experience with OpenTelemetry and modern observability ecosystems, including instrumentation, collectors, exporters, and tools like Prometheus, Grafana, and tracing/log systems
• Experience designing and operating telemetry pipelines, including sampling, retention, cardinality, and cost tradeoffs, as well as integrating observability into CI/CD and developer workflows
• Familiarity with AI/agent frameworks, including instrumentation of LLM calls, tool usage, workflows, and evaluation signals (quality metrics, benchmarking, regression detection)
• Experience building cost monitoring, forecasting, and optimization systems for AI workloads
• Familiarity with cloud and infrastructure tooling (e.g., AWS, Azure, Kubernetes, Terraform)
• Experience with agentic infrastructure concepts such as MCP servers, hooks, skills, subagents, sandboxing, and persistent memory patterns
• Active engagement with the agentic engineering frontier, including emerging patterns (e.g., harness vs. model, review debt, feedback loops)
• Demonstrated agent-native development practices (iterating with agents using testing, verification, and feedback loops)
• Strong security awareness for autonomous systems, including sandboxing, prompt injection risks, credential exposure, and guardrails

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Apply here: https://bloomberg.avature.net/careers/Public?jobId=18854

Hudson River Trading (HRT)

Quantitative Latency Engineer

📍Austin, TX, United States; Chicago, Illinois, United States; London, United Kingdom; New York, NY, United States; Singapore

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities 

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Profile 

• You possess a degree in Data Analytics or a related field
• You can collect and interpret network and/or financial market data
• You have professional experience in latency reduction, preferably in finance
• You have a basic understanding of proprietary trading and exchange technologies

Skills 

• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• Some familiarity with the details of modern computer systems and networks
• Experience with real time exchange market data and order entry a plus

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

Apply here: https://www.hudsonrivertrading.com/hrt-job/quantitative-latency-engineer/

Modal

The production cloud for AI. Run inference, training, batch processing and sandboxes with sub-second cold starts, instant autoscaling across thousands of GPUs and a developer experience that feels local.

Member of Technical Staff - Python SDK

AI needs a new infrastructure layer. We're building it at Modal.

Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.

Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.

We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

Our team includes creators of popular open-source projects (e.g.,Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

We’re looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity.

Requirements:

• 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software.
• Knowledge of advanced Python features, especially async programming.
• A strong product sense that manifests as a focus on developer ergonomics and productivity.
• A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.
• Ability to participate in on-call rotation and respond to production incidents.
• Ability to work in-person in our NYC or Stockholm office.
• Any of the following would be a plus:
  • Familiarity with modern data / ML / AI tools and workflows
  • Experience with Typescript, Go, or Rust

How to apply: 

https://jobs.ashbyhq.com/modal/265d6127-dd34-433b-819a-1f935572c7d8

Numberly

SRE - Site Reliability Engineer

📍Hybrid - Paris

Numberly is recognized as one of the world's leading data marketing specialists with nearly 500 employees and 11 offices worldwide serving more than 300 clients (L'Oréal, Campari, Colgate, Nestlé, HSBC...). By putting technology to work for brands and consumers, Numberly is at the heart of business growth and everyone's desire for more sustainable and relevant marketing. Numberly leverages the latest advances in data processing, analysis and activation, incorporating artificial intelligence technologies. This approach is part of a virtuous circle in which business competitiveness goes hand in hand with greater respect for privacy and data protection.

To achieve this, Numberly has always mastered, developed, and operated its own on-premise technical platforms thanks to the expertise of its in-house teams, without overlooking the Cloud when relevant. From development to datacenter hosting and network connectivity, everything is designed, built, maintained, and secured by our teams and we are proud of it.

Numberly is looking for a Site Reliability Engineer to design, operate, and improve the reliability of its infrastructure in order to always better serve its clients.

SRE Responsibilities

• Design, build, and operate highly available, robust, and scalable system architectures.
• Ensure the availability, performance, and reliability of production services.
• Know how to leverage existing tools (open-source or internal) and develop new solutions when relevant.
• Collaborate with other technical teams to proactively anticipate and resolve scaling challenges.
• Participate in the continuous improvement of operations practices (automation, monitoring, observability, incident management).

Qualifications

• Master’s degree (Bac +4/+5) from a university, engineering school, or equivalent.
• 3 to 5 years of experience in operating production systems.
• Strong troubleshooting and problem-solving skills.
• Good communicator, capable of popularizing their work, defending their ideas, and listening to others.
• Willingness to grow and help others grow, both technically (meetups, internal training) and humanly.
• Strong understanding of Linux internals.
• Fluent in French and proficient in English.

Technical Environment

• Physical infrastructure: 3 datacenters located in the Paris region
• Servers: +500
• Automation: Ansible, Terraform
• CI/CD: GitLab
• Virtualization: Proxmox
• Containers: Kubernetes (on-premises Kubespray and Talos, AWS EKS, Azure AKS)
• Load-balancing: HAProxy, OpenResty (nginx), Envoy
• Monitoring: Prometheus, Thanos, Kafka, Elasticsearch, Graylog
• Tracing: Sentry
• Languages: Python, Go, Rust
• Server OS: Ubuntu / Debian
• User OS: Windows / MacOS / Linux
• APIs: REST
• Cloud: AWS, Azure
• Databases: PostgreSQL, Hadoop, MSSQL, ScyllaDB, MongoDB

Security Tools & Frameworks

• MDM: Intune, Iru (Kandji)
• Logs: Kafka, Graylog, Vector, CrowdSec
• IDS/IPS: Falco
• EDR: HarfangLab, Microsoft Defender for Endpoint
• Scanning: Ivre, Burp Suite
• SAST: GitLab SAST, Semgrep, etc.
• KMS/PKI: HashiCorp Vault
• Containers: Kyverno, Harbor

Additional information

• At Numberly, we share a passion for transmission: weekly internal talks, meetings with expert professionals in their field, continuous learning.
• Fast and powerful onboarding, in particular thanks to: the mentor assigned to each newcomer; to Live my life in different teams; Happy Meetings: monthly internal meetings to meet up with all our teams around the world and share group news.
• We cultivate freedom of speech which allows everyone to participate in the development of the group.
• We act positively on our ecosystem through 1000mercis impacts and via our activities which create value in the Open Internet and contribute to the enrichment of Open Source.
• Numberly is an actor of diversity with a gender equity score of 97/100.
• Numberly is ISO/IEC 27001:2023 certified; this certification recognizes compliance with the highest standards in information security.
• Numberly is an international environment with more than 30 nationalities in our teams.
• Offices in the image of each of the teams, a generous library, a large fully equipped music studio, two cats, vermicomposting, the possibility of bringing your pet and space for bicycles! In each kitchen: coffee, tea, unlimited infusions and also mystery lunches, Wellpass (ex-Gymlib) partnership, sports classes and parties (often in disguise).
• Possible remote working days.
• Swile card (meal vouchers).
• Possible mobility in our various offices abroad.
• Numberly welcomes people with disabilities.

Apply here: https://joinus.numberly.com/en/jobs/7917284-sre-site-reliability-engineer/8883340c-f258-444b-8e58-88905eb7702c

Revolut

Mid/Senior Software Engineer (Python)

📍Remote: Cyprus · Czech Republic · Poland · Porto · Portugal · Romania · Serbia · Spain · Sweden · UAE · UK

About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.

As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About the role

Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.

We’re looking for a Python Engineer who can write high-quality code and build innovative solutions for heavily regulated financial systems.

Whether designing our own chatbot or creating automated financial crime quality controls in just a few weeks, our engineering projects are varied. You’ll collaborate on a product team with Data Scientists, Analysts, Engineers, Product Owners, and Operations Managers to deliver the most value to our customers.

Up to shape what's next in finance? Let's get in touch.

What you’ll be doing

• Building APIs and jobs and data pipelines, making sure they're properly designed and scaled according to business needs
• Writing event consumers to build data models for new flows and processes

What you'll need

• 5+ years of experience as a Software Engineer
• 3+ years of experience engineering with Python as your primary language
• An academic background in STEM
• Fluency in Python, SQL, and other OOPLs
• Experience with API development and integration
• A practical understanding of distributed systems
• The ability to write concurrent code in IO/CPU bound situations
• Experience with Docker, K8s, Ansible, Teamcity, monitoring, and alerting

Nice to have

• Experience with prototyping and sketching
• Multiple side projects or open source contributions
• Exposure to GCP

How to apply: https://revolut.la/EuroPython2026_MidSeniorSoftwareEngineerPython