FULL-TIME / 100% Remote / Within Europe (Central European Time Zone (CET))

Compensation: $75,000 to $85,000 USD per year (Depending on experience and qualifications)

____________________________________________________________________________

Skedda is a leading global workplace management platform, serving over 8,000 customers including Toyota, Siemens, Mercedes-Benz, MIT, and Harvard University. The company is a key player in shaping the future of the modern workplace experience with interactive floor plans, desk and meeting room booking, visitor management, rich utilization analytics, and integrations with Slack, Microsoft 365, and Google Workspace. Each year, Skedda wins awards from G2, Capterra, GetApp, and SoftwareAdvice.

We are seeking a senior full-stack developer to take on a key role in delivering new features across the stack, from concept to launch. This role involves owning the technical aspects of projects, implementing full test automation, and solving complex, interesting challenges. You will research, test, and implement new technologies while collaborating closely with the team on design, coding standards, and best practices. 

Responsibilities

• Provide senior-level implementation for new features across the full-stack
• Implement full test automation for your work (we have a culture of ownership and quality)
• Own projects from a technical perspective, from conceptualization to launch
• Solve complex, but fun, technical challenges
• Research, propose, test, and implement new techniques and technologies
• Collaborate with team members on design techniques and coding standards
•  

Skills & Experience

• 7+ years of full stack development with C# and .NET/Core (ideally SaaS products)
• Strong experience with front end JavaScript frameworks
• Strong experience developing Web APIs
• Strong SQL skills (SQL Server preferred)
• Strong TDD and test automation skills (both unit and integration testing)
• Hands-on experience with Azure Cloud
• Azure DevOps experience is a plus

About you

• You honor your word and own whatever you take on
• You love to build intuitive software
• You make mistakes and learn fast
• You like small teams
• You’re not afraid to ask questions
• You pay attention to detail
• You want to make a difference in the real world
• You’re self-driven
• You follow your intuition and sync when needed
• You strive for excellence in everything you do

Benefits

• Competitive salary, benefits package, and paid time off
• Flexible schedule 
• Creative and collaborative work environment
• Direct exposure to the leadership team across departments
• Be empowered to leave a significant mark on the product and the customers
• A thorough, organized engineering onboarding process for quick learning
• Hardware of your choice - PC or Mac
• Develop with the latest platforms, frameworks, tooling and standards
• Work in, and maintain, a near zero technical debt environment
• Enjoy not having to support IE or Safari < 13
• Our Tech Stack: Azure, .NET 8.x, C# 12, Ember.js 5.7 (Octane), Bootstrap 5.x,Selenium, Entity Framework 8.x, SQL Server 2022, Azure DevOps, 

About us

We’re an international team from 20+ countries with a growing presence in Boston. We place a lot of value on collaborating asynchronously across time zones but also understand the benefits of working together in person. Our team has doubled in size in the last year and continues to grow quickly. 

At Skedda, our Mission is to empower organizations to bring workspaces to life. We take feedback from customers seriously and constantly iterate to improve our product. We’re a self-driven, curious, down-to-earth group of people who know how to balance moving quickly while maintaining a high bar for quality. Every team member at Skedda embodies our six core virtues: 

• We are a community
• Quality is at our core
• Take ownership
• Create momentum every day
• Tackle hard problems
• Be curious

We are defining the future of the workplace experience, helping businesses to design meaningful, seamless, fully integrated employee experiences and interactions in the hybrid workplace. We’re growing fast with a lot of new opportunities ahead!

To learn more, please visit https://www.skedda.com/blog/skedda-mission-vision-virtues and https://www.allbooked.com/about.

Highlights:

Role: Senior ML-Engineer, Finance

Location: Serbia, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 20 paid vacation days per year
• 15 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

✅ Requirements:

• 4+ years of experience in software testing.
• Mandatory experience in backend testing and a deep understanding of client-server architecture.
• Strong experience in API testing (REST, JSON) using tools like Postman, Swagger, or similar.
• Solid SQL knowledge (ability to write complex queries, joins, and work with databases directly).
• Experience in defining the scope of testing, maintaining test documentation (Test Plans, Test Cases, Checklists).
• Experience in contributing to and evolving existing test strategies, as well as implementing process improvements.
• Advanced analytical troubleshooting skills, attention to detail, and a scientific approach to problem-solving (e.g., reading logs, analyzing network traffic).
• Proficiency with JIRA and Confluence.
• Strong verbal and written communication skills to effectively collaborate with developers, architects, and product managers.
• Intermediate+ / Upper-Intermediate level of English (both verbal and written).

✅ Will be a plus:

• Experience in test automation (TypeScript) and a willingness to contribute to automated testing processes.
• Experience in Mobile testing (iOS/Android).
• Familiarity with CI/CD pipelines and tools.
• Experience with Allure TestOps as TMS.

✅ Duties and opportunities:

• Perform end-to-end manual testing of the core platform features, APIs, and integrations.
• Collaborate with the team to evolve and implement changes to the overall platform test strategy.
• Investigate and localize issues, working closely with devtools,  logs and databases.
• Manage defects in the bug-tracking system and oversee them through the entire lifecycle.
• Support release process.
• Actively collaborate with cross-functional teams (Development, DevOps, Product) to identify risks and improve product quality at early stages.
• Mentor junior/middle QA engineers and contribute to QA process improvements within the platform team.

Job Description

Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Senior Software Engineer to join our core team and perform a healthy mix of design and implementation tasks to advance the technical foundation behind the Fivetran product offering.
This team is tasked with evolving a high performance extract-load-trans form data integration system that enables our engineering teams to correctly implement hundreds of data connectors with minimal maintenance effort. The role will challenge you to reason about relational semantics, powerful abstractions, data representation, and software performance. You don’t need to be a subject matter expert before you join us (you will be one before you leave!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure twice before you cut once. A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for expertise and productivity with both modern and legacy software development environments.

This is a full-time position based out of our Novi Sad office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• C (our main language), Python (used in testing), relational databases (Postgres, Oracle, SQL Server), make GitHub Copilot, Claude Code, Jenkins, GCP , Azure, AWS
  macOS/Linux/Unix/Windows, git

What You’ll Do

• Learn deeply about Fivetran in order to focus development on practical and relevant system improvements
• Contribute to the development and planning of our roadmap
• Collaborate with a small but mighty core team, and with a broader set of stakeholders
• Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
• Review and approve pull requests
• Care and feel ownership of our product, and leverage your skills towards improving it

Skills We’re Looking For

• You are execution-oriented, and understand the need to target your “innovation budget” for the greatest impact: you find the middle ground between “perfect, but takes forever to code” and “fixes it now, but nobody will ever be able to understand what I did”
• You know how to design and code systems and software that is effective, intuitive, easy-to-operate, and elegantly simple
• You have worked with the relevant tooling and techniques: cloud services, network protocols, serialization, relational databases, etc.
• You have knowledge of complex structures, object orientation, exceptions, memory management techniques.

Bonus Skills​

• Experience with data replication, ETL/ELT tools, cloud and software defined infrastructure tools (for instance AWS Cloud Formation, Kubernetes, Docker), API technologies and analytics is definitely a plus
• Knowledge of DBMS internals is a strong plus
• Familiarity with low level concepts, such as encoding and the internals of network communication, is a strong plus
• Familiarity with system level programming (such as process and memory management and inter-process communication) is a plus

#LI-NR1
#LI-HYBRID

Job Description

Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Senior Software Engineer to join our core team and perform a healthy mix of design and implementation tasks to advance the technical foundation behind the Fivetran product offering.
This team is tasked with evolving a high performance extract-load-trans form data integration system that enables our engineering teams to correctly implement hundreds of data connectors with minimal maintenance effort. The role will challenge you to reason about relational semantics, powerful abstractions, data representation, and software performance. You don’t need to be a subject matter expert before you join us (you will be one before you leave!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure twice before you cut once. A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for expertise and productivity with both modern and legacy software development environments.

This is a full-time position based out of our Novi Sad office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• C (our main language), Python (used in testing), relational databases (Postgres, Oracle, SQL Server), make GitHub Copilot, Claude Code, Jenkins, GCP , Azure, AWS
  macOS/Linux/Unix/Windows, git

What You’ll Do

• Learn deeply about Fivetran in order to focus development on practical and relevant system improvements
• Contribute to the development and planning of our roadmap
• Collaborate with a small but mighty core team, and with a broader set of stakeholders
• Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
• Review and approve pull requests
• Care and feel ownership of our product, and leverage your skills towards improving it

Skills We’re Looking For

• You are execution-oriented, and understand the need to target your “innovation budget” for the greatest impact: you find the middle ground between “perfect, but takes forever to code” and “fixes it now, but nobody will ever be able to understand what I did”
• You know how to design and code systems and software that is effective, intuitive, easy-to-operate, and elegantly simple
• You have worked with the relevant tooling and techniques: cloud services, network protocols, serialization, relational databases, etc.
• You have knowledge of complex structures, object orientation, exceptions, memory management techniques.

Bonus Skills​

• Experience with data replication, ETL/ELT tools, cloud and software defined infrastructure tools (for instance AWS Cloud Formation, Kubernetes, Docker), API technologies and analytics is definitely a plus
• Knowledge of DBMS internals is a strong plus
• Familiarity with low level concepts, such as encoding and the internals of network communication, is a strong plus
• Familiarity with system level programming (such as process and memory management and inter-process communication) is a plus

#LI-IM1
#LI-HYBRID

At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.

The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.

As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.

As part of our team, you will:

Build tools for agentic error analysis

• Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
• Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.

Build evaluation pipelines

• Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
• Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
• Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.

Research methods for improving agent and model behavior on Kotlin

• Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
• Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
• Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
• Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.

Build public Kotlin benchmarks

• Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
• Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
• Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
• Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.

We'll be happy to have you on board if you have:

• Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
• Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
• Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
• The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
• A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
• Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).

Our ideal candidate would also have experience with:

• Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
• Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
• AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
• Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
• Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
• The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
• Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.

Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI