Jobs

We are seeking an experienced PLM Solution Architect with strong German language capabilities to lead enterprise-level Product Lifecycle Management initiatives for one of our biggest-scale customers in the automotive sector. This role requires a strategic thinker who can bridge technical architecture with business requirements while effectively communicating with German-speaking stakeholders across the organization who will have the opportunity to work on strategic PLM initiatives for a global organization being the key-decision makers. 

Do you have strong presentation and facilitation capabilities along with the ability to communicate complex technical concepts to diverse audiences and influence on them with proven stakeholder management skills across multiple organizational levels?

And all that while being experienced with mentoring technical teams and junior architects, and at the same time being able to work independently while time management is your best friend... sounds like you? Then look no further, if multitasking is not a word that scares you, should you match the following:

Key Responsibilities

Solution Architecture & Implementation

• Lead end-to-end PLM solution architecture design, development, and implementation
• Define and maintain PLM architecture standards, best practices, and technology roadmap
• Conduct solution design sessions, architecture reviews, and technical assessments
• Ensure system scalability, data governance, and regulatory compliance
• Support deployment activities, system migrations, and platform upgrades

Stakeholder Engagement

• Engage directly with German-speaking business stakeholders to gather, analyze, and refine requirements
• Facilitate workshops and design sessions in the German language
• Translate business needs into technical solutions and architecture blueprints
• Present technical concepts to both technical and non-technical audiences

System Integration

• Drive integration strategies with enterprise systems, including: ERP Systems: SAP; CAD Tools: Siemens NX, CATIA, and other design platforms; PLM Platforms: Teamcenter, Windchill, or similar
• Design and implement API-based integrations across the enterprise ecosystem
• Ensure seamless data flow between PLM and other business-critical systems

Required Skills & Qualifications

Education & Experience

• Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or related field
• 8–12+ years of progressive experience in the PLM domain and solution architecture

Technical Expertise

• Deep expertise in at least one major PLM platform: Siemens Teamcenter; PTC Windchill or an equivalent enterprise PLM solution
• Proven track record in solution architecture and enterprise system integration
• Strong understanding of core PLM concepts: Bill of Materials (BOM) management, Engineering Change Management (ECM/ECO), Product Data Management (PDM), Configuration management, Workflow and lifecycle management
• Experience with APIs, web services, and integration technologies
• Knowledge of enterprise architecture frameworks and methodologies

Language Requirements

• German: B1/B2 level (CEFR) – mandatory
  • Ability to conduct business meetings and technical discussions
  • Comfortable facilitating workshops and presenting in German
• English: Fluent (written and spoken) for international collaboration

Nice to Have

Industry & Domain Knowledge

• Experience in the automotive or manufacturing industries
• Understanding of industry-specific compliance and standards (e.g., IATF 16949, ISO 9001)

Emerging Technologies

• Knowledge of cloud platforms (Microsoft Azure, AWS)
• Familiarity with digital thread and digital twin concepts
• Experience with IoT, Industry 4.0, or smart manufacturing initiatives
• Understanding of Agile/DevOps methodologies in the PLM context

Ми — швидкозростаючий crypto iGaming проєкт, орієнтований на міжнародний ринок. Продукт працює виключно у crypto-сегменті без fiat-рішень. Наразі команда знаходиться на етапі активного масштабування та повторного запуску продукту, тому шукаємо сильного Head of CRM, який зможе побудувати retention-напрямок практично з нуля.

Формат роботи

• Full-time, remote
• Стартап-культура: ownership, автономність та hands-on execution

• Заробітна плата: $4,000–$7,000 gross + KPI bonus

   

Основні задачі

• Розробка та реалізація CRM/Retention-стратегії: onboarding, retention, reactivation, VIP lifecycle.
• Повне налаштування та управління CRM-флоу в Smartico:
  • automation,
  • segmentation,
  • trigger journeys,
  • bonus mechanics.
• Управління multi-channel CRM-комунікацією:
  • Email,
  • Push (web/mobile),
  • Telegram,
  • Pop-up,
  • In-app Inbox.
• Самостійне створення CRM-контенту англійською мовою:
  • emails,
  • promo texts,
  • banners,
  • pop-ups.
• Налаштування domain warm-up, контроль deliverability та domain/IP reputation.
• Побудова BI-звітності та автоматизованих dashboard/reporting систем.
• Проведення A/B тестування та оптимізація retention performance.
• Розробка bonus mechanics:
  • cashback,
  • reload,
  • free spins,
  • missions,
  • retention campaigns.

• Тісна співпраця з Product, Marketing, BI та Tech командами.

   

Вимоги

• Досвід у iGaming / crypto casino — обов’язково.
• Від 2 років досвіду у crypto-проєктах.
• Досвід роботи з успішними міжнародними продуктами.
• Hands-on досвід роботи зі Smartico від 6 місяців:
  • lifecycle journeys,
  • triggers,
  • bonus setup,
  • automations.
• Глибоке розуміння retention metrics:
  • LTV,
  • ARPU,
  • Retention Rate,
  • Churn,
  • Cohort Analysis.
• Досвід роботи з deliverability та domain management.
• Сильні аналітичні навички та data-driven mindset.
• Вільна англійська мова (усна та письмова).

• Самостійність, ownership та готовність працювати в startup environment.

   

Буде перевагою

• Досвід у crypto casino / Web3 продуктах.
• Досвід побудови CRM-функції з нуля.
• Досвід роботи з bonus economy та abuse prevention.
• Базові навички HTML/email верстки.

• Досвід автоматизації BI/reporting систем.

   

KPI

• Retention Rate (M1/M2)
• LTV / ARPU
• Churn Rate
• Reactivation Rate
• CRM conversion metrics
• Deliverability & Inbox Placement

Job Description 

We are seeking a Middle Multimedia Engineer to join our engineering team working on advanced audio/video streaming solutions for embedded platforms. The ideal candidate will have strong hands-on experience with GStreamer and a deep understanding of multimedia systems, media pipelines, and streaming technologies. 

Technical Requirements 

• 6+ years of software development experience in multimedia or system-level environments 
• Good hands-on experience with GStreamer (must-have): 
  • building and debugging media pipelines 
  • working with elements, pads, caps, plugins 
  • troubleshooting latency, synchronization, and performance issues 
• Strong programming skills in C++ OR Java (must-have) for system-level or multimedia applications 
• Strong understanding of audio & video streaming technologies and protocols (RTP, RTSP) (must-have) 
• Experience with video/audio codecs (H.264, H.265, VP9, AAC, Opus) 
• Experience with Video4Linux (V4L2) 
• Hands-on experience with Embedded Linux OR Embedded Android (must-have) 
• Understanding of networking fundamentals: TCP, UDP, HTTP 
• Ability to troubleshoot across software layers (middleware, OS, hardware interaction) 
• Experience with Git (version control systems) 
• Excellent problem-solving, critical thinking, communication skills 

Nice to Have 

• Experience with Embedded Android OR Android BSP (AOSP) 
• Familiarity with multimedia systems: 
  • Android Audio OR SurfaceFlinger 
  • ffmpeg, VAAPI, OpenMAX, OpenGL 
• Experience with WebRTC 
• Experience with camera integration OR camera subsystem customization 
• Knowledge of hardware-accelerated media pipelines 
• Scripting experience (Bash OR Python) 

Responsibilities 

• Design, develop, and maintain multimedia middleware components 
• Build, integrate, and optimize GStreamer-based audio/video pipelines. Integrate media components with user-space applications and system services 
• Debug and resolve complex media issues related to performance, stability, and synchronization 
• Drive technical discussions and contribute to architecture decisions 
• Collaborate with hardware, platform, and application teams 
• Support board bring-up and hardware validation related to audio/video subsystems 

We’re looking for a Backend Engineer with solid Java experience to join one of our US-based clients on an outstaff basis.

The team is international, so confident English is important for daily communication and collaboration.

We’re looking for someone who can work independently, communicate clearly, and comfortably join an existing engineering environment.

What’s important for this role:

• At least 5 years of commercial experience
• Experience developing applications using Java technologies (JAVA 21+) and frameworks like Spring
• Excellent knowledge of enterprise system architecture patterns including data modeling, database design, SQL, performance monitoring, tuning, and unit testing.
• Experience working with Postgres DB
• Ability to write unit tests (TDD practices)

• Experience working with AWS services such as EC2, ECS, S3, Lambda, API Gateway, CloudWatch, RDS, etc.

   

MUST HAVE

We’re also looking for someone who:

•  has extensive experience in Ai tools usage,  and will guide customer team in building next generation application using the AI tools / agents / skills / best practices.
• has experience in building a development process using AI from scratch - building the process, prompts, and common rules.

Responsibilities:

• Design, develop, and maintain scalable backend services using Java
• Build and support RESTful APIs and microservices
• Design and optimize PostgreSQL databases (schemas, queries, migrations)
• Work with AWS cloud services to ensure scalable and reliable solutions
• Develop and maintain CI/CD pipelines (Jenkins, GitHub Actions)
• Ensure code quality through TDD, testing, and code reviews
• Сollaborate closely with other engineers and product teams
• Use AI tools to speed up development workflows and improve delivery efficiency

We are looking for a Senior Software Engineer for our client, a US-based wellness-tech startup building an AI-powered platform for salons and wellness centers.

The product combines machine learning, recommendation systems, diagnostics, eCommerce, and operational tooling into a single ecosystem used by real businesses and customers.

The platform analyzes customer data and questionnaire inputs to generate personalized treatment and product recommendations through a custom AI service built with Python, ML models, and Elasticsearch. The engineering team is continuously improving recommendation accuracy, integrating new AI capabilities, and scaling the infrastructure as the product grows.

This is an opportunity to join a small, product-focused team where engineering has direct impact on the business and where developers are expected to contribute across the entire platform, from AI integrations and backend architecture to cloud infrastructure and customer-facing features.

Responsibilities

* Maintain and improve a Python-based AI recommendation service

* Integrate and improve ML/AI models in production environments

* Improve Elasticsearch-based recommendation and search logic

* Continuously improve recommendation accuracy based on business requirements and user data

* Develop backend services using Node.js / TypeScript

* Build frontend functionality using React

* Manage AWS infrastructure and deployment workflows

* Improve CI/CD and overall platform reliability

* Work on integrations with external systems including Shopify

* Participate in architecture decisions and long-term technical planning

Tech Stack

Python, TensorFlow (or similar ML frameworks), Elasticsearch / OpenSearch, TypeScript, Node.js / NestJS, React, AWS, PostgreSQL, Redis, Docker, GitHub Actions / CI/CD.

Requirements

* Strong commercial experience with Python

* Experience working with TensorFlow or similar machine learning frameworks

* Experience integrating AI/ML models into production systems

* Strong experience with Elasticsearch, OpenSearch, or Solr

* Strong experience with TypeScript and Node.js

* Experience building frontend applications with React

* Strong AWS experience

* Experience with Docker, Linux, and CI/CD workflows

* Strong understanding of APIs and backend architecture

* Experience working in startup or product-focused environments

* Advanced English communication skills

Nice to Have

* Experience with recommendation engines or AI-powered personalization systems

* Shopify integration experience

* Experience with Terraform, CloudFormation, or AWS CDK

* Native Android development experience (Kotlin preferred)

* Experience using AI coding assistants such as GitHub Copilot, Cursor, Claude Code, etc.

What They’re Looking For

The company is looking for a long-term engineering hire who can take ownership of the product and help lead the technical development of the platform as the company scales.

The immediate priorities are heavily focused on the AI recommendation service, ML integrations, and Elasticsearch-based recommendation infrastructure. Over time, the engineer will also contribute across backend development, infrastructure, integrations, and overall platform evolution.

We are looking for a Senior Data Scientist to help build data-driven products that significantly improve customer experience on a large-scale betting platform. You will work on high-impact machine learning models, take full ownership from research to production, and directly influence product and business decisions. This role goes beyond modeling – you will deploy models into production, run experiments, monitor results, and partner closely with product and business teams.

You will work on models and systems such as:

• Churn, retention and LTV prediction;
• Risk scoring, fraud and responsible gambling models;
• Personalization and recommendation systems;
• Uplift and causal models to drive product decision;
• Real-time ML systems powering user experience;

• Experimentation frameworks and A/B testing.

   

What you’ll be doing:

• Design, train and productionize machine learning models for product, risk and personalization use cases;
• Own models end-to-end: data exploration, feature engineering, modeling, deployment and monitoring;
• Design and analyze A/B tests to measure the real business impact of models and product changes;
• Collaborate closely with product managers, engineers and analysts to translate business problems into ML solutions;
•  Monitor model performance, data quality, drift and key business metrics after deployment;

• Communicate insights and recommendations to business and product stakeholders.

   

What we’re looking for:

• 4+ years of experience as a Data Scientist or in a similar applied ML role;
• Strong hands-on experience with Python and SQL;
• Proven experience building and deploying ML models in production;
• Experience with churn, LTV, behavioral or risk-related models;
• Solid understanding of statistics, experimentation and A/B testing;
• Ability to clearly explain technical results to non-technical stakeholders.

Nice to have:

• Experience in gaming, fintech or other high-scale consumer products;
• Experience with recommendation systems or risk/fraud models;
• Familiarity with cloud environments and basic MLOps practices;
• Experience working with real-time or near real-time ML systems.

Who We Are:

We are DATA.BET, a product IT company that develops comprehensive technological solutions for sports, esports, and virtual sports betting in a single sportsbook.
Our key products - Odds Feed, AI-powered risk management system, and fast Single Page Application - help partners gain stable profits and a competitive advantage.
Our team consists of more than 250 professionals. 

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team composition

1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)

ToolSense was founded in June 2017 by Alexander Manafi, Benjamin Petterle, and Rostyslav Yavorskyi with the vision to support maintenance, repair, and operation teams by digitizing asset processes, enabling automation & empowering smarter decisions.

Through unifying assets, people & processes in ToolSense, the lives of frontline workers become easier & asset-intensive industries become more efficient.

ToolSense has already won numerous international customers from the facility services & construction industry and renowned industry awards, such as the “Interclean Innovation Award” or the “Construction Equipment Forum Startup Award”. Furthermore, ToolSense recently raised an €8m Series A investment round led by PwC IIoT to double down on its strategy of digitising asset-intensive industries.

Who we are looking for 

We are looking for an experienced Product Manager with strong domain expertise in FSM / CAFM solutions and a proven product management background.

The ideal candidate should be proactive, strategic, and capable of identifying product opportunities, operational gaps, and best practices independently — not only executing tasks, but shaping product direction.

Key Responsibilities

• Define and drive product strategy and roadmap for FSM / CAFM solutions
• Identify product improvements, missing functionality, and optimization opportunities
• Work closely with engineering, design, and business stakeholders
• Translate customer and business needs into product requirements
• Introduce industry best practices and modern product management processes
• Prioritize features, backlog, and product initiatives
• Conduct market and competitor research
• Support product discovery and long-term platform vision

Required Experience

• 5+ years of Product Management experience
• Strong experience in:
  • FSM (Field Service Management)
  • CAFM (Computer-Aided Facility Management)
  • Facility Management / PropTech / Real Estate Tech platforms
• Experience working with SaaS products
• Strong analytical and strategic thinking
• Ability to work independently and challenge existing assumptions
• Experience collaborating with cross-functional teams
• Excellent communication skills in English

Ideal Candidate Profile

The candidate should resemble senior product leaders with:

• strong domain expertise,
• strategic thinking,
• operational awareness,
• hands-on product ownership,
• and ability to bring structure and best practices into growing products.  

Nice to Have

• Experience with enterprise software
• Experience with workflow automation or asset management systems
• Technical understanding of integrations/APIs
• Experience in scaling B2B software products
• Background in digital transformation projects

Work Format

• Remote-friendly position

• Relocation to Vienna may also be considered

   

We are looking for a Senior Dynamics 365 Field Service Developer to join us for a client project. This role is ideal for a highly skilled D365 and Power Platform developer with strong Dynamics 365 Field Service expertise.

What You’ll Do

• Develop and customise Dynamics 365 CE and Field Service solutions
• Work with Dataverse, Power Platform, Model-driven apps, and solution components
• Implement custom logic using plugins, JavaScript, custom APIs, Power Automate, and related technologies
• Extend business processes around work orders, scheduling, resources, assets, inventory, and mobile scenarios
• Design and develop integrations with external systems and data sources
• Use Azure services to support integrations, automation, data processing, and scalable solution architecture
• Contribute to AI-assisted solutions and AI-driven delivery approaches
• Translate functional requirements into reliable, secure, and maintainable technical solutions
• Work closely with functional consultants, architects, and business stakeholders
• Support testing, troubleshooting, deployment, documentation, and technical quality assurance

What We’re Looking For

• 6+ years development experience with Dynamics 365 Field Service and other apps (Sales, CS, Marketing) and Dataverse
• Strong experience with Power Platform
• Practical experience with plugins, JavaScript, custom APIs, integrations, and Dataverse customisations
• Solid understanding of Azure services used in integrations, automation, and enterprise application development
• Experience applying AI-assisted development tools or building AI-supported business solutions
• Understanding of Field Service processes such as work orders, scheduling, resources, assets, inventory, and mobile scenarios
• Good understanding of APIs, authentication, security, data models, and deployment practices
• Ability to work independently and take ownership in a client-facing project environment
• Strong problem-solving skills and attention to technical quality
• Excellent English communication skills

We are looking for an experienced IT Specialist to join our production site in Norway and support day-to-day IT operations in a fast-paced manufacturing environment. This role is ideal for someone who enjoys hands-on technical work, independently managing on-site IT processes, and supporting both production and office teams.

Responsibilities

• Configure, prepare, and maintain IT equipment including laptops, phones, printers, monitors, and peripherals
• Handle receiving, issuing, tracking, and inventory management of IT assets
• Support employees with hardware, software, connectivity, and access-related issues
• Work closely with the production team and support MES (Manufacturing Execution Systems)
• Maintain accurate inventory and reporting records in Excel or asset management systems
• Manage user accounts, permissions, and access rights in Active Directory and Microsoft 365
• Troubleshoot Windows environments, networking issues, VPN connections, and production-line IT incidents
• Coordinate with IT, engineering, procurement, and operations teams
• Support printer setup and maintenance, including label printers (nice to have)
• Work independently on-site without constant remote team supervision

Requirements

• 3+ years of experience in IT Support, IT Operations, or IT Asset Management
• Experience with configuring and supporting:
  • Laptops and desktops
  • Mobile devices
  • Printers and peripherals
• Hands-on experience with:
  • Windows 10/11
  • Basic Windows Server administration
  • Active Directory (users, groups, permissions)
  • Microsoft 365 / Office 365 (Outlook, Teams, OneDrive, SharePoint)
• Understanding of:
  • DNS, DHCP, TCP/IP
  • VPN connections
  • Basic cybersecurity principles
• Experience with:
  • Remote support tools (RDP, AnyDesk, TeamViewer)
  • Jira Service Management or similar Service Desk tools
  • Knowledge base systems such as Confluence
• Experience in a manufacturing or production environment is a strong advantage
• Familiarity with MES systems is highly desirable
• Strong organizational skills and attention to detail
• Good communication skills and ability to work with cross-functional teams
• English — Intermediate+ level or higher

Nice to Have

• Experience supporting production-line IT infrastructure
• Experience working with label printers
• Experience in independent on-site IT operations

What We Offer

• Opportunity to work in an international production environment in Norway
• Stable full-time cooperation
• Hands-on and impactful role with ownership over local IT operations
• Fast hiring process and quick start opportunity

We are looking for a Senior Dynamics 365 Field Service Specialist to join us for a client project. This role is ideal for someone with strong hands-on expertise, solid functional understanding, and the ability to take ownership of key solution areas.

What You’ll Do

• Configure Dynamics 365 Field Service solutions
• Work with work orders, scheduling, resources, crews, assets, inventory, and mobile scenarios
• Translate business requirements into functional solution designs
• Lead fit-gap analysis and process mapping
• Extend Field Service using Dataverse, Power Apps, and Power Automate
• Support integrations with other business systems and data sources
• Propose practical, scalable, and maintainable solution approaches
• Communicate clearly with business, technical, and senior stakeholders
• Support testing, documentation, validation, and user adoption
• Contribute to AI-assisted delivery where relevant

What We’re Looking For

• Strong hands-on experience with Dynamics 365 Field Service
• 6+ years of experience with Dynamics 365 CE, Dataverse, or Microsoft Business Applications
• Experience with Power Platform
• Deep understanding of work order lifecycle, scheduling, resource management, asset management, inventory, and Field Service Mobile
• Experience with functional design, requirements gathering, fit-gap analysis, and process modelling
• Understanding of integrations with Dynamics 365 and external systems
• Ability to work independently and take ownership in a client-facing role
• Strong analytical thinking and structured problem-solving skills
• Excellent English communication skills

About us

We build AI-powered solutions that solve real business problems. You’ll work with the latest technologies and implement production-grade AI features, including RAG pipelines, agentic and multi-agent workflows.

Responsibilities

• Solve engineering problems related to process automation, knowledge systems, and agentic / multi-agent architectures.
• Design, build, and maintain AI-powered features that go beyond basic LLM API calls.
• Develop backend services using Node.js (Express, Fastify, or NestJS).
• Implement and iterate on RAG pipelines (retrieval strategies, chunking, evaluation, quality improvements).
• Integrate external APIs, payment systems, and authentication flows.
• Design clean REST APIs and ensure reliable client–server communication.
• Work with PostgreSQL.

Requirements

• Strong problem-solving mindset, creativity, and ability to learn quickly.
• Solid Node.js experience in production (2+ years).
• Practical experience and strong interest in LLM-based systems, not just simple ChatGPT-style wrappers, including:
  • RAG
  • LangChain (bonus: LangGraph, LangSmith)
  • Prompt engineering
• Understanding of backend fundamentals: APIs, databases, performance, and debugging.

Nice to have

• Experience with Python and FastAPI.
• Redis, queues, caching.
• AWS or GCP familiarity.
• CI with GitHub Actions.
• Monitoring and tracing tools (Prometheus, Grafana, OpenTelemetry).

What we offer

• Competitive salary and bonuses
• Remote-first culture
• Flexible schedule
• Open-minded, results-driven environment
• Product ownership and impact

Our client is an Ad Tech SaaS on Shopify that helps e-commerce businesses run profitable ads on Meta and Google. Our product vision: an AI agent that manages ad spend, optimizes ROAS, and delivers results — so merchants can focus on their business, not their ad accounts.

We're looking for a senior engineer to take real ownership of the product and help us ship the next version of the platform — not as a ticket-taker, but as the technical co-owner of what we build and how we build it.

What you'll own

• AI-assisted development infrastructure. You'll own the system that lets our team ship fast with AI. That means: expanding our CLAUDE.md with real coding conventions, building Claude Code skills and hooks, setting up CI quality gates (linting, formatting, automated tests), and creating the pre-merge workflow so AI-generated PRs pass review on the first try. This is your highest-impact work in the first month.
• AI-native product experience. Store intelligence that analyzes a merchant's data, scores products by predicted ROAS, and drives every recommendation the platform makes.
• Shopify-deep integration. Adwisely should live where merchants already work: Shopify admin, Sidekick, Flow — not as a separate dashboard they forget about.
• Platform reliability and UX improvements. Bulletproof onboarding, ROAS optimisation, clearer performance visibility.

• Quality at every stage. You own QA as part of the delivery process, not as an afterthought. That means writing specs that include test cases, reviewing AI-generated diffs for correctness, and building end-to-end tests for critical paths.

   

How we work

We build with AI-assisted development. Our primary tool is Claude Code with a custom CLAUDE.md, project-specific skills, and pre-commit hooks. You'll extend and improve this setup.

The workflow is: write a tight spec, generate an implementation plan (reviewed by you before coding starts), generate the implementation with Claude Code, pass automated quality gates, and ship. You'll be the person who makes this workflow reliable — so that PMs can independently deliver features at high quality.

You'll work directly with the company founders. No PM layer, no sprint ceremonies. Team: 2 PMs, 1 senior dev, 1 part-time dev. Small team, high ownership, no bureaucracy.

This role is for you if...

• You have 5+ years with Python and React in production
• You have hands-on experience with AWS: EC2, RDS, S3, Lambda, or similar services
• You're comfortable owning the full stack: React frontend, Python backend, cloud infrastructure
• You've worked with at least one of: Shopify APIs, Meta Marketing API, Google Ads API
• You're used to being the primary engineer and making architectural calls without a lot of hand-holding
• You can move between support and feature work without losing momentum
• You've used Claude Code, Cursor, or Copilot in production — and you have opinions about where AI helps and where it doesn't
• You treat QA as part of shipping, not a separate phase. You write tests, review diffs carefully, and don't merge what you haven't verified

• You're excited about building the dev process itself, not just building features within one

   

Nice to have

• Experience building or maintaining Shopify apps (ours is built on Remix)
• Familiarity with LLM API integration (Anthropic, OpenAI, Gemini)
• Any background in ad tech or performance marketing

• Experience setting up CI/CD pipelines, automated testing, or developer tooling

   

What we offer

• $4,500-6,000/month depending on experience
• Equity stake with vesting — you're joining as the primary engineer at a pivotal moment (details in offer conversation)
• Architecture ownership: meaningful decisions, not just tickets
• Greenfield opportunity to shape how the entire engineering org works
• Fully remote, flexible schedule
• Paid vacation

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.
 

About the Role

Solidgate builds financial infrastructure for fast-growing internet businesses worldwide. Our platform processes millions of payments daily and operates in a highly regulated fintech environment, where security is a core product requirement — not an afterthought.
 

Our engineering organization builds and scales a complex cloud-native platform with over 120 microservices. As the company continues to grow, we are strengthening our security organization and introducing a dedicated Application Security Engineer role.
 

The mission of this role is to keep our business and revenue safe by building security into the way we develop software — from early design decisions to CI/CD pipelines and live production systems.
 

This is a hands-on Application Security role focused on embedding security into the software development lifecycle and reducing real product risks.
 

You will work closely with engineering teams to:

• design secure application architectures
• improve secure coding practices
• detect vulnerabilities early in the development lifecycle

• continuously improve application security as part of everyday engineering work

   

You will have a direct impact on how secure software is built across a large microservices ecosystem, influencing standards, tooling, and engineering culture.
 

Explore our technology stack ➡️ here (https://solidgate-tech.github.io/)

 

What You Will Own

As an Application Security Engineer, you will be responsible for application-level security across our fintech platform, including:
 

• Building and maintaining secure coding standards and supporting their adoptionl across development teams
• Conducting threat modeling during architecture and design stages
• Implementing and improving application security testing, including: SAST, DAST, Dependency and secrets scanning, CI/CD security checks
• Performing regular application security assessments and maturity evaluations (OWASP ASVS, OWASP SAMM)
• Managing the full vulnerability lifecycle: triage, prioritization, remediation support, and validation
• Supporting external penetration testing and Bug Bounty programs
• Identifying and mitigating security risks in cloud environments and CI/CD pipelines
   

You are a great fit if you have

• At least 2 years of experience in Application Security or Product Security
• Hands-on experience with OWASP Top 10 vulnerabilities
• Practical experience with: secure code reviews, threat modeling, SAST and DAST tools and their integration into CI/CD pipelines
• Strong understanding of web application and API security
• Ability to communicate clearly with engineers and work as a partner rather than a blocker
   

Nice to Have

• Experience with container security and cloud security tooling
• Familiarity with DevSecOps and shift-left security practices
• Experience automating application security processes
• Background as a software engineer or close collaboration with development teams
  
   

Why Join Solidgate?
 

Build security that matters. Lead initiatives that define how security is embedded into our software development lifecycle across multiple teams and products.

Your expertise counts. Enjoy real autonomy — propose, test, and implement security practices and tooling that directly improve product resilience and reduce risk.

Room to experiment. Apply modern AppSec, automation, and shift-left approaches with full support from engineering and security leadership.

Impact & visibility. See the results of your work directly in more secure products, fewer vulnerabilities, and stronger engineering practices.

Collaborative environment. Work side by side with experienced, curious engineers who treat security as a shared responsibility and value partnership over gatekeeping.

The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.
 

Tomorrow’s fintech needs your mindset. Come build it with us.
 

🫂 Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.

We're IG Talents - a young recruiting agency focused exclusively on iGaming. We help companies hire from Junior to C-level: operators, platforms, game providers, and the whole iGaming ecosystem.

We are looking for a strong Head of Sales manager.

As Head of Sales, you will own the entire Lead-to-FTD conversion engine of the company.

Your core mission is to turn incoming leads into first-time deposits efficiently and at scale by building, managing, and optimizing sales call center operations (internal and outsourced).

You will sit at the intersection of marketing, call centers, CRM, analytics, and payments, ensuring speed-to-lead, high conversion rates, disciplined execution, and predictable unit economics.

This role is critical for the company success and among those bringing the highest business impact.

What You Will Do:

• Own end-to-end Lead → FTD conversion across all channels (paid media, affiliates, IBs, in-app)
• Be fully accountable for FTD volume, conversion rate, CAC efficiency, and sales productivity
• Build and continuously optimize the first-line sales funnel
• Manage internal and outsourced call centers (quality, operational metrics, SLAs, capacity)
• Own sales pipelines in CRM (stages, routing, automation)
• Ensure clean handoff from sales → retention/account management
• Be responsible for key metrics (Speed-to-Lead, Contact rate, Lead → FTD %, conversion, FTD cost)
• Partner with Marketing, Payments, and Retention
• Build, manage, and develop the team with a performance-driven sales culture
•  

What you bring:

• 5+ years of experience in sales leadership within CFD/Forex/fintech/iGaming/high-velocity B2C
• Proven experience managing call centers (internal and/or outsourced)
• Strong hands-on understanding of lead funnels, conversion mechanics, and sales process
• Strong analytical mindset; comfortable working with KPIs, dashboards, and cohort data
• Deep hands-on experience working with callcenter technical stack (telephony services, autodialing systems, AI-based quality control platforms, etc)
• Excellent knowledge of main callcenter operational metrics and ways to manage them
• English level — B2+ (Spanish language proficiency is a plus)
•  

What We Offer:

• KPI-based bonus system
• Participation in a large-scale international project at an active growth stage
• High level of autonomy
• Professional marketing, product, and management teams

Required languages