Jobs at Djinni

Job Description

• Possess 3-4 years of comprehensive experience in full-stack software engineering, specifically designing and building robust enterprise applications within a professional development environment.
• This role operates under a fully remote work model, requiring the ability to effectively collaborate with distributed teams and manage tasks independently from a designated home office environment.

Required Skills:

• Demonstrated strong hands-on proficiency and extensive experience in developing and implementing solutions using the .NET framework, including advanced features and best practices.
• Mandatory expertise in designing, building, and maintaining web applications and services with ASP.NET, showcasing advanced capabilities in its various components and architectures.

Preferred Skills:

• Possess a solid working knowledge and practical experience with React, enabling the development of interactive and responsive user interfaces.
• Familiarity with TypeScript is preferred, demonstrating an understanding of its benefits for scalable and maintainable JavaScript applications.

Job Responsibilities

About the Role
We are seeking a Mid to Senior .NET Developer to help build, scale, and secure enterprise-grade healthcare applications. In this role, you will work across the full stack to design resilient back-end services, optimize relational databases, and deliver high-impact features that protect medical data and streamline healthcare operations.

You’ll thrive here if you enjoy solving complex architectural challenges in an Agile environment, championing automated testing, and collaborating across engineering, product, and UX teams.

Key Responsibilities
Core Development: Build and maintain high-availability web applications and microservices using C# and modern .NET frameworks.

Full-Stack Execution: Implement front-end components and integrate back-end APIs, ensuring seamless functionality across the entire application stack.

1. Performance & Scale: Enhance existing enterprise systems to improve throughput, scalability, and reliability for large-scale healthcare clients.
2. Database Optimization: Design, maintain, and optimize relational database schemas and complex queries to handle sensitive data efficiently.
3. Quality & Testing: Ensure enterprise-level software quality through automated unit/integration testing and active participation in peer code reviews.
4. Agile Architecture: Analyze technical requirements and design scalable software solutions within a fast-paced Agile framework.
5. DevOps Integration: Contribute to continuous integration and continuous deployment (CI/CD) pipelines and support DevOps best practices.
6. Troubleshooting: Diagnose and resolve complex technical issues across the stack to maintain optimal system performance.
7. What You Bring (Requirements)
   Experience: 3+ years (Mid) or 5+ years (Senior) of commercial software development experience using C# and .NET (.NET Core / .NET 6+).

• Database Mastery: Strong proficiency with relational databases (e.g., SQL Server, PostgreSQL), schema design, and query performance tuning.
• Architecture & Patterns: Solid understanding of Object-Oriented Programming (OOP), RESTful APIs, and scalable software architecture.
• Quality Focus: Demonstrated commitment to writing clean, maintainable code backed by automated testing.
• DevOps Awareness: Hands-on experience or familiarity with CI/CD pipelines, modern deployment strategies, and full-stack troubleshooting.
• Collaborative Mindset: Strong communication skills with experience working alongside QA, Product Management, and UX specialists.
• Nice-to-Haves
• Modern Front-End: Hands-on experience with React and TypeScript.

Domain Knowledge: Prior experience in healthtech, medical data security, HIPAA compliance, or high-security enterprise environments.

Cloud Architecture: Familiarity with AWS, Azure, or containerized environments (Docker/Kubernetes).

Department/Project Description

We are a leading healthtech solutions provider specializing in medical data security, risk mitigation, and administrative efficiency. Our proprietary platforms address critical compliance and security vulnerabilities faced by healthcare organizations worldwide. By leveraging innovative technologies for patient record linkage and identity verification, we empower healthcare systems to protect patient trust, reduce operational risk, and deliver seamless, secure services.

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

• Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 
• Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 
• Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 
• Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

• Solid background in machine/deep learning, with 4+ years of experience. 
• Strong Python skills and experience working in Linux environments. 
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 
• Experience with MLOps pipelines and serving/deploying models in production. 
• Experience optimizing models for inference, including GPU acceleration. 
• Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 
• Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

• Experience building and productizing agentic flows and AI-driven solutions (1+ year). 
• Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 
• Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

What makes Verbit unique? 

Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows. 

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more. 

With more than 3,000 global customers relying on Verbit—including top law firms, universities, enterprises and media organizations—we’re building the future of how speech data is processed, understood and used. 

We’re a group of: 

• Tech-savvy individuals who are always open to more growth and learning opportunities 
• Adaptable and flexible people who thrive in a fast-paced, startup environment 
• Creative minds who rethink and question how to outperform past results 
• Effective communicators who can promote and represent Verbit’s tech and brand 

GameCode was founded in 2017. We build online slot games for regulated markets across the USA, Canada, Europe, and beyond. Our team consists of more than 100 specialists, and we are looking for a Python Developer with hands-on iGaming and slot math experience.

What you will do

• Implement and fine-tune slot game math models and paytables
• Build and maintain game logic in Python
• Work closely with math and game designers to achieve RTP and volatility targets
• Test, validate, and simulate game math for compliance and fairness

What we expect

• 3+ years of software engineering experience
• 2+ years of professional Python experience
• 2+ years of experience in iGaming or the slots market
• 1+ year of experience implementing slot game mathematics
• English at B2 level or higher

Nice to have

• Experience with RTP simulations and volatility analysis
• Familiarity with regulated markets such as the UK, USA or Canada
• Open-source contributions or personal Python projects

What we offer

• Fully remote work
• Flexible working hours
• Long-term B2B cooperation
• Competitive rate depending on experience
• Training budget
• A flat team structure where your input matters

Recruitment process

Short screening call → technical interview → offer.
We aim to complete the process within 2–3 weeks.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

At Fozzy Group, we are developing a next-generation Decision Support System that connects operational, commercial, and investment data to optimize financial effectiveness and drive guest experience. As a Data Scientist you will own the measurement layer to derive Initiative & Investment Performance Insights. The role 

is organized around three streams: 

• Effect Measurement & Causal Inference: quantify the true incremental impact of initiatives using A/B testing and quasi-experimental methods. Measure uplift in purchase frequency, guest spend, average check, and retention against properly designed control groups, and form clear conclusions on whether an initiative works and is worth its cost. 

• Driver & Heterogeneity Analysis: identify the most significant factors of project performance using ML: guest profile structure and dynamics, technology presence, assortment, distance to competitors – so the business can assess project potential per store, forecast effects, and scale more effectively. 

• Self-Service Validation & Monitoring: build reusable, automated frameworks for effect validation and monitoring that let Finance and business owners get verified answers on demand, with full source transparency and reproducibility.
You will join a cross-functional team to design and implement data-driven decision module that directly influence financial outcomes. 

Job Responsibilities 

• Design and run experiments (A/B tests) and quasi-experiments (difference-in-differences, synthetic control, propensity score matching), and apply causal ML to estimate the incremental and heterogeneous effects of operational, commercial, and investment initiatives. 

• Build uplift / heterogeneous-treatment-effect models to learn which guests, segments, and stores respond most, and quantify effects on key metrics – purchase frequency, share-of-wallet / guest spend, average check, CLV, and retention (via survival models) – for pilot versus control groups. 

• Develop interpretable driver models (gradient boosting with SHAP, causal forests) that explain project performance, and rank the factors with the highest impact on results. 

• Build store-level potential-scoring and effect-forecasting models – probabilistic and hierarchical forecasting, transfer learning and store embeddings to borrow signal across the network – to guide and prioritize scaling decisions. 

• Design adaptive early-stop logic using Bayesian sequential testing, multi-armed bandits, and change point detection, to reallocate or halt rollouts as soon as the economic signal turns marginal. 

• Translate financial and commercial questions into statistically rigorous measurement designs, and connect statistical results to economic value (incrementality, ROI, payback). 

• Build SQL and Python pipelines, reusable feature sets / a feature store, and a self-service experimentation framework. 

• Productionize and monitor models (MLOps) – drift detection, automated validation, reproducibility, and source transparency. 

• Partner with Finance, Investment, Commercial, and Operations teams to deliver verified, decision ready insights. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance; 

• At least 2 years working experience on Data Science; 

• Strong foundation in Statistics, Causal Inference, and Experimental Design – A/B testing, Hypothesis Testing, Power Analysis; 

• Proven experience with SQL (Window functions, CTEs, joins) and Python; 

• Expertise in Machine Learning, Time Series Analysis; 

• Ability to work independently and decompose complex problems. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration; 

• Practical experience with Amazon SageMaker: training, deploying, and monitoring ML models in a production environment; 

• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Looker); 

• Ability to design and deliver packaged analytical/ML solutions. 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.
 

The Foodtech team is looking for a Data Scientist to develop the Operational Analytics function for a fast growing food delivery business. In this role, you will focus on time series forecasting, regression modeling, simulation modeling, and end-to-end machine learning pipelines to support resource planning and operational decision-making.

You will be responsible for developing simulation-based models that serve as a foundation for a digital twin of operational processes, enabling scenario analysis, stress testing, and what-if simulations for capacity planning and operational optimization.

You will work closely with product, engineering, and operations teams to transform data into measurable business impact through production-ready ML and simulation solutions.
 

Job Responsibilities:

• Develop and implement time series forecasting models for resource planning (demand, capacity, couriers, delivery slots, operational load);
• Build regression and machine learning models to explain key drivers and support operational decisions;
• Apply a wide range of time series approaches from classical models (SARIMA, ETS, Prophet) and ML models (GB) to modern Deep Learning models (LSTM, Temporal CNNs, Transformers for TS);
• Design, build, and maintain end-to-end automated ML pipelines, deploy and operate models in production using AWS SageMaker;
• Orchestrate training and inference workflows with Apache Airflow;
• Analyze large-scale operational datasets and convert results into insights, forecasts, and actionable recommendations;
• Collaborate with product managers, engineers, and operations teams to define business problems and validate analytical solutions;
• Monitor model performance, forecast stability, and business impact over time.
   

Requirements:

• Bachelor’s Degree in Mathematics / Engineering / Computer Sciences / Quantitative Economics / Econometrics;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• At least 2 years working experience on Data Science;
• Experience of the full cycle of model implementation (data collection, model training and evaluation, model deployment and monitoring);
• Ability to work independently, proactively, and to decompose complex problems into actionable tasks.
   

Skills:

• Strong proficiency in Python with solid application of object-oriented programming (OOP) principles (modular design, reusable components, maintainable code);
• Solid experience in time series forecasting and regression modeling;
• Practical knowledge of:o Classical and ML forecasting techniques;
  o Statistical methods (hypothesis testing, confidence intervals, A/B testing);
• Advanced SQL skills (window functions, complex queries);
• Experience building automated ML pipelines;
• Understanding of MLOps principles (model versioning, monitoring, CI/CD for ML).
   

Nice to have:

• Hands-on experience with AWS SageMaker (training jobs, endpoints, model registry);
• Experience with Apache Airflow for data and ML workflow orchestration;
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau);
• Experience working with large-scale production data systems.
   

What We Offer:

• Competitive salary;
• Professional & personal development opportunities;
• Being part of dynamic team of young & ambitious professionals;
• Corporate discounts for sport clubs and language courses;
• Medical insurance package.

We are looking for a Middle .NET Developer to join our team and work on an exciting FinTech project. You'll collaborate with experienced engineers to build scalable, secure, and high-performance backend solutions.

Responsibilities:

• Develop and maintain backend services using C# and .NET.
• Design and implement RESTful APIs.
• Participate in architecture discussions and code reviews.
• Collaborate with cross-functional teams to deliver high-quality software.
• Write clean, maintainable, and well-tested code.
   

Requirements:

• 3+ years of commercial experience with C#/.NET.
• Strong knowledge of .NET Core / .NET 6+ and ASP.NET Core.
• Experience with REST APIs.
• Solid understanding of SQL databases (MS SQL Server or PostgreSQL).
• Experience with Entity Framework Core.
• Knowledge of OOP, SOLID principles, and design patterns.

Nice to Have:

• Docker and Kubernetes.
• Azure or AWS.
• Experience with microservices.
• Previous experience in the FinTech domain.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

Ready to level up your career? 

Playtech's GPAS unit is looking for an experienced Scala Developer with excellent engineering skills.

Your influential mission. You will...  

• Participate in software design, development, refactoring, support, and code reviews to maintain high development standards.
• Collaborate with platform teams to deliver great results.
• Work autonomously on your tasks with little or no supervision.
• Optimize the platform to achieve maximum throughput and scalability.
• Be proactive and go beyond expectations.

Components for success. You...

• Bring at least 3 years of hands-on experience developing server-side applications in Scala.
• Have a strong working knowledge of Scala (preferably Scala 3) and SBT (Scala Build Tool).
• Demonstrate solid experience with Pekko/Akka, including HTTP, Actors, Cluster, Persistence, Streams, and connectors.
• Possess a strong understanding of the JVM, data structures, and algorithms.
• Exhibit excellent knowledge of parallel and concurrent programming principles.
• Have practical experience building high-scale, distributed systems with complex interfaces and integrations.
• Think like an engineer - taking ownership, driving solutions forward, and continuously improving systems and processes.
• Demonstrate exceptional problem-solving skills and critical thinking.
• Show a willingness to document solutions and actively share knowledge with colleagues.

• Communicate clearly and effectively in English.

   

You'll get extra points for...

• Previous experience in the iGaming domain.
• Experience working with Typesafe Config.
• Hands-on experience with Couchbase or other document-based NoSQL databases.
• Familiarity with AWS services such as S3 and DynamoDB.
• Experience using Play JSON.
• Proficiency with ScalaTest for testing.
• Experience with containerization and orchestration tools such as Docker, Nomad, or Kubernetes.
• Confidence working in Linux environments.

Thrive in a culture that values...   

• A friendly, cooperative, and goal-oriented team of experienced professionals.
• Clear goals and a results-driven environment.
• Open communication, knowledge sharing, and mutual support across teams.
• Initiative-taking and a confident approach at the workplace.
• Collaborative and supportive culture as well as stable long-term career opportunities.
• Global scope and inclusive working environment where you can engage with diverse teams and perspectives.
• Constant learning and development opportunities and professional growth programs.

• An active lifestyle and mental well-being supported through sports classes, master classes, and monthly well-being activities.

   

GPAS UNIT

We invite an experienced Scala Developer to become a part of Playtech as a new member of the GPAS product team. Gaming Platform as a Service aka GPAS is Playtech’s exclusive distributed games delivery platform that currently has more than 1000 games running on it. GPAS is a highly accessible, multi-tenant, scalable, distributed and event-driven system written in Scala with the help of the Akka framework. We use Couchbase as a hot storage and AWS S3/DynamoDB as our cold storage to ensure we can handle nearly a billion transactions per day. We have a complex solution that provides capabilities to run various types of online casino games. We adopt Scrum methodology to deliver new features on time.

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

About the Position

We’re growing fast and looking for a Senior Backend Engineer to join our Engineering team and help build the infrastructure that powers our platform at scale.

This is a high-impact role where you’ll work alongside top-tier engineers, designing and building secure, high-performance systems in a fast-paced environment. If you enjoy solving complex technical challenges and want your work to have real impact — we’d love to meet you.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field
• 5+ years of experience in backend development
• Strong experience building scalable, production-grade systems
• Proficiency in Node.js
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms and microservices architecture
• Strong problem-solving skills and attention to detail
• Passion for writing clean, maintainable, and efficient code

Bonus Points For

• Experience in cybersecurity or building security-focused products
• Experience working in startup or high-growth environments
• Familiarity with DevSecOps / SDLC tools
• Experience with distributed systems and high-scale data processing

Job Title: Senior Java Team Lead (Payments)
Company: VCG Tech Limited
Location: Remote (Global)
Employment Type: Full-Time

Role Purpose

You will lead the team that builds and runs our payments platform, the systems that move client money in and out of an online trading business. This covers deposit and withdrawal orchestration, integration with multiple third-party payment service providers, payout flows, and reconciliation. This is money-movement software, so correctness, idempotency, traceability and reliability are the standard, not aspirations. You own the architecture, the technical direction and the delivery accountability for a domain where a single mishandled transaction is a real problem for a real client.

This is a hands-on, coding team lead role. You will spend meaningful time in a Java and Spring Boot microservices codebase, with enough React and TypeScript to lead a fullstack team across the payment journeys clients and operations staff actually use. Day to day you balance writing and reviewing code, shaping the architecture, and growing the engineers around you, working closely with product, operations and other engineering teams to ship reliable payment flows. The team works remotely and you report to the CTO.

Key Responsibilities

Architecture and money-movement correctness

• Own the architecture of deposit, withdrawal, payout and reconciliation services across a Java microservices backend
• Design transaction flows that are idempotent, auditable and safe under retries, timeouts and partial failures
• Define how state transitions, ledgering and reconciliation guarantee that money is never lost, duplicated or stranded
• Set the standards for data consistency, event-driven messaging and failure handling across the team
• Drive technical decisions on resilience, observability and recovery for critical payment paths

Hands-on delivery

• Write, review and merge production code in Java and Spring Boot, leading by example on quality
• Build and maintain REST APIs and event-driven integrations between payment services
• Contribute to the React and TypeScript front end for client and operations payment journeys
• Keep CI/CD, automated testing and deployment pipelines healthy and fast
• Tackle the hardest or highest-risk parts of the work yourself when it matters most

Provider integration and reliability

• Lead integration with multiple third-party payment service providers behind a clean internal abstraction
• Design provider routing, fallback and retry behaviour that stays correct when a provider degrades or fails
• Build reconciliation between internal records and provider settlements to detect and resolve discrepancies
• Own monitoring, alerting and on-call readiness for payment flows using observability tooling
• Lead incident response for payment issues and turn root causes into lasting fixes

Team leadership and delivery

• Lead, mentor and grow a team of backend and fullstack engineers
• Own planning, prioritisation and delivery commitments for the payments roadmap
• Run pragmatic code review, design review and engineering practices that keep quality high
• Partner with product, operations and other teams to translate needs into reliable delivery
• Be accountable for the team's output, timelines and the operational health of what you ship

Required Experience & Skills

• Proven team-management experience is essential - you have directly led a team of engineers as their team lead, owning day-to-day coordination, planning, 1:1s, mentoring, performance and growth, and the team's delivery, while remaining hands-on with code
• 8+ years building backend systems in Java, with deep Spring Boot and microservices experience
• Strong track record building systems where correctness and reliability are critical, ideally involving money movement, transactions or other high-integrity data
• Practical mastery of idempotency, retries, distributed transactions and failure handling in distributed systems
• Strong SQL and relational database skills, including data modelling for transactional and reconciliation workloads
• Hands-on experience with event-driven architectures and message queues
• Experience designing and operating REST APIs and integrating with third-party providers at scale
• Working proficiency in React and TypeScript, enough to lead a fullstack team and contribute to the front end
• Solid experience running services on AWS with Docker, CI/CD and Git-based workflows
• Clear communicator who can drive technical decisions and align engineering with product and operations

Nice to Have

• Experience in payments, payment orchestration or integrating multiple payment service providers
• Background in reconciliation, ledgering or settlement systems
• Experience in fintech, brokerage or online trading domains
• Familiarity with KYC/AML and fraud-prevention concepts at a generic level
• Kubernetes experience for deploying and operating microservices
• Infrastructure-as-code experience, for example Terraform
• Hands-on experience with observability tooling such as Grafana, Prometheus or CloudWatch
• Comfortable working in a remote, product-team-oriented engineering organisation

Project Description:

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

Responsibilities:

• Design and build frameworks for ingesting/modeling the complex Risk data
• Develop Low latency caching to service Front office risk systems
• Setup monitoring and management for services
• Provide SME support for development of automated QA scripts

Mandatory Skills Description:

• Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark. Green flags: Spark, Hive, Hadoop.
• At least 5 years of experience in software development, including professional backend software development experience;
• Strong Knowledge of Java programming languages
• Should be familiar with algorithms and design patterns
• Familiarity with Linux environment, including scripting skills
• Designing and building APIs (Java);
• Java Server-side or Back-end development;
• Core Java;
• Java collections and multithreading;
• Java Memory Management;
• Database and SQL (writing stored procedures, designing table schemas).
• Understanding of distributed systems.
• Understanding of CI/CD workflow.

• Ability to multi-task and work under pressure.
• Ability to pick up new concepts and apply the knowledge.
• Demonstrated problem-solving skills.
• Enthusiastic and proactive approach with a willingness to learn.
• The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Nice-to-Have Skills Description:

• Experience In-memory databases and caching
• Job Orchestration tools like Autosys or Airflow
• Apache Spark
• Financial background (where possible)

We are looking for a skilled FP&A Analyst to join our customers' team.

Key responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analysis to support key business decisions

• Partner with cross-functional stakeholders to align financial insights with company strategy

   

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and partner with stakeholders
• Excellent English (written and verbal)

Who are we looking for?

We are looking for a Microsoft Dynamics 365 & Power Platform Developer with hands-on experience in building, customizing, and maintaining business applications. Сandidate is passionate about developing scalable business solutions, automating business processes, integrating cloud services, and delivering high-quality applications based on Microsoft technologies..

Why did the job open?

We are expanding our Microsoft Business Applications team due to the growth of existing projects and the launch of new Dynamics 365 Power Platform implementations.

Requirements:

• B1–B2 English (Intermediate / Upper-Intermediate);
• At least 3+ years of commercial experience developing solutions with Microsoft Dynamics 365 and the Microsoft Power Platform;
• Strong hands-on experience with Power Apps, including both Model-Driven Apps and Canvas Apps;
• Solid experience with Power Automate for developing complex cloud flows, workflow automation, and system integrations;
• Experience working with the Power Platform Admin Center, including environment management, security configuration, solution deployment, and platform administration;
• Strong experience with .NET (C#) for developing Dynamics 365 plugins, custom workflow activities, backend business logic, and integrations;
• Good understanding of Azure Functions, Azure Application Insights, and Microsoft Entra ID for secure authentication, user management, and serverless integrations;
• Proficiency in JavaScript for Dynamics 365 client-side customizations, with basic knowledge of HTML and CSS;
• Basic practical experience with Power BI for creating dashboards and analytical reports;
• Familiarity with Power Pages for building external-facing websites and customer portals;
• General understanding of the core Dynamics 365 modules, including Sales, Customer Service, Field Service, Project Operations, and Customer Insights;
• Strong problem-solving skills, attention to detail, and the ability to work effectively in a collaborative development environment.

Good to have:

• Experience implementing end-to-end Dynamics 365 solutions across multiple business domains;
• Understanding of Microsoft cloud architecture and Power Platform best practices;
• Experience with Azure-based integrations and Microsoft cloud services;
• Familiarity with application lifecycle management (ALM), solution packaging, and deployment pipelines;
• Experience working in Agile/Scrum teams.

Project Overview

Greenfield implementation of Microsoft Dynamics 365 Business Central (Premium) for a wholesale distribution + manufacturing company (building materials / millwork domain).
 

Key Responsibilities

BC Functional Expertise

• Manufacturing: BOMs, production orders, routings, subcontracting, costing
• Advanced WMS: bin-level inventory, directed put-away/pick, warehouse flows, tally/variable UOM
• Sales & Pricing: multi-tier price lists, approval workflows, customer-specific pricing
• Purchasing: 3-way match, multi-currency, landed cost (ISV preferred)
• US Finance: AP/AR, bank reconciliation, 1099, FX gain/loss

Delivery Ownership

• Lead design workshops and drive decision closure
• Own data migration (templates, cleansing, test loads, validation)
• Coordinate ISVs (WMS, Avalara, landed cost, integrations)
• Deliver user training across business functions
• Maintain functional documentation (FDD)

QA (if included)

• Write scenario-based UAT test cases with expected results
• Manage BC sandbox environments and test cycles
• Bug triage (P1–P3)
• Define integration and regression test scenarios

Key Requirements

• Experience in BC implementations (Manufacturing + WMS essential)
• Strong in workshop facilitation and structured delivery
• Comfortable with greenfield ambiguity and multiple parallel decisions
• High attention to data accuracy (pricing, UOM, inventory complexity)

Who are we looking for?

We are looking for an experienced Microsoft Dynamics 365 Business Central (AL) Developer who is passionate about building scalable cloud-based Business Central solutions. You'll work on complex ERP customizations, integrations, pricing, warehouse, and manufacturing functionality.

Tasks?

Your responsibilities will include developing and maintaining Business Central extensions, designing custom functionality based on Functional and Technical Design Documents (FDD/TDD), implementing integrations with external systems, participating in solution architecture discussions, and ensuring high-quality, maintainable, and cloud-ready AL code.

Why did the job open?

We are expanding our development team due to the growth of existing projects and the launch of new Business Central implementations.

Requirements:

• B2+ English (Upper-Intermediate or higher);
• At least 3+ years of commercial experience developing AL extensions for Microsoft Dynamics 365 Business Central (or significant Microsoft Dynamics NAV/AL experience with transition to Business Central SaaS);
• Experience with multi-app per-tenant extension architecture, AppSource-ready solutions, cloud-ready development, and event-driven design;
• Strong understanding of Business Central posting transaction model, including proper use of event subscribers without modifying the Base Application;
• Experience designing normalized custom tables and table extensions based on functional specifications, including date-ranged and matrix-driven lookup structures;
• Experience working with Business Central Sales Price List engine and pricing event pipeline, preferably including factor-based or matrix-based pricing models;
• Experience with Advanced Warehouse Management, including bins, directed put-away, picks, and Zebra/mobile scanner customization;
• Experience developing outbound and inbound REST API integrations in AL, including API client codeunits and webhook receivers without Azure Logic Apps or Service Bus;
• Experience performing high-volume data migrations, including validation, commit batching, and error handling;
• Good understanding of BOM and manufacturing concepts, including production orders, work centers, and subcontracting;
• Ability to work effectively with detailed Functional Design Documents (FDD) and Technical Design Documents (TDD), identifying risks and gaps when necessary;
• Strong written and spoken communication skills and experience working in a documentation-driven development environment.

Good to have:

• Experience implementing Business Central solutions for distribution, wholesale, or manufacturing companies;
• Experience working with US import/customs compliance data, including HTS codes, Section 301, and landed cost allocation;
• Experience integrating Business Central with Samsara or similar ELD/fleet management platforms;
• Experience with Power BI, OData APIs, and reporting solutions built on top of Business Central.

About the product

SignalsAPI sells verified hiring signals. You give the API a company or a market, and it returns which companies are actively hiring for a given role right now — read directly from company ATS feeds (Greenhouse, Lever, Ashby, Workday), not guessed from an intent model. 450+ sources, around 2M signals a month, refreshed every three hours. The API, the product and the billing are all live.

This is a small operation. I built the product and I run it. You would work directly with me, with no layers in between — fast decisions, no bureaucracy, and no ready-made playbook. The first months are about finding what works.

The role

Everything technical is finished. What the product does not have is a repeatable way of reaching buyers. That is the job.

Who we sell to:

• RevOps and GTM leads at B2B companies that already do signal-based selling
• Owners of recruitment and staffing agencies in the UK, EU and US

Plans run EUR 79–399/month, with larger custom contracts above that.

What you will do:

• Build and maintain sending infrastructure: domains, mailboxes, warmup, SPF/DKIM/DMARC, LinkedIn accounts operating inside safe limits
• Build target audiences. I have a list of about 40 competitors and adjacent vendors; the people who follow and engage with them on LinkedIn are the first audience. RevOps and GTM titles are the second. Staffing agency owners are the third
• Run the tooling — Apollo, Instantly, Lemlist, Smartlead, HeyReach, Expandi, Clay, or whatever you know well. I pay for subscriptions
• Write and test outreach sequences in English. I supply positioning, proof points and technical detail, and I review copy before it goes out
• Report weekly: sent, reply rate, positive reply rate, meetings booked — split by audience and by signal type
• Book meetings into my calendar. I run the calls

What I am looking for:
 

• 2+ years in B2B lead generation or SDR work, with campaigns you personally built and sent
• English strong enough to write outreach read by native speakers in the UK and US. I will edit, but I cannot rewrite everything
• You can explain how a sending domain gets burned and how to avoid it
• You understand what GDPR means for outbound in Europe. I run a UK company selling into the EU and UK
• You are comfortable being measured on replies and meetings rather than on messages sent

Nice to have:
 

• Experience selling a product rather than outsourcing services
• Familiarity with the recruitment and staffing market
• Comfort with APIs and webhooks. My own product is a signal source, and feeding it back into our own outbound is an obvious thing to do

Conditions

• Remote, flexible hours, three hours of overlap with Central European Time
• Part-time, around 25 hours a week to start. Full-time possible if it works
• B2B contract with a UK company, monthly invoice, you handle your own FOP reporting
• One month probation with a clear goal: infrastructure live and the first campaign sending inside two weeks

Hiring process

1. Application with the control questions answered
2. A 40-minute call
3. A paid test task, 3–4 hours, paid at your rate whether or not I hire you
4. Offer

I answer every application.