Jobs at Djinni

We are looking for a motivated Junior .NET + React Developer with 1+ years of commercial experience to join our development team.

The ideal candidate has a solid backend development foundation, experience with React, and a willingness to grow as a Full-Stack Developer.
 

Requirements

• 1+ years of commercial software development experience.
• Good knowledge of C# and .NET / ASP.NET Core.
• Solid understanding of backend development principles, REST APIs, and database integration.
• Practical experience with React.js, JavaScript, or TypeScript.
• Experience working with relational databases (SQL Server or PostgreSQL).
• Familiarity with Microsoft Azure and cloud-based services.
• Understanding of Git and software development best practices.
• English level: B1–B2.
   

Nice to Have

• Experience with Azure App Services, Azure Functions, or Azure DevOps.
• Knowledge of Entity Framework Core.
• Experience with unit testing.
• Understanding of CI/CD processes.
• Work in a hybrid format.
   

Responsibilities

• Develop and maintain web applications using .NET and React.
• Build and integrate RESTful APIs.
• Work on both backend and frontend features, with a stronger focus on backend development.
• Collaborate with developers, QA engineers, and other team members.
• Participate in code reviews and technical discussions.
• Troubleshoot issues and improve application performance.

• Continuously learn and apply modern development practices.

   

You’ll get:

• A stable product with a long-term roadmap
• Direct cooperation with a US-based client
• Predictable, long-term workload
• Transparent compensation
• Paid vacation and sick leave
• Professional development support
• High-quality equipment
• Paid office lunches
• Anniversary gifts and baby bonus

Business Development Manager at Paydmit grows the business by identifying new markets and partners, building a strong sales pipeline, and turning opportunities into lasting commercial relationships 

The role works closely with product, compliance, and marketing to make sure proposed partnerships are commercially viable and can be delivered successfully.

Requirements:

• Experience in business development, partnerships, sales or a related commercial role

• Strong communication, presentation, negotiation and relationship-building skills

• Ability to identify opportunities, prioritize leads and manage a sales pipeline

• Commercial awareness and confidence working with targets and forecasts

• Proficiency with CRM and standard productivity tools

• At least 6 months experience in payments, fintech, financial services or iGaning is an advantage

• Ability to process large volumes of data with strong attention to detail

Preferred Qualifications:

• Background in FinTech, iGaming, IT, Crypto

• Experience in payment solutions or working with payment systems

• Previous experience on a similar role

Key Responsibilities:

• Identify and qualify prospective customers, partners and new business opportunities

• Build and manage a pipeline of prospects, from first outreach through negotiation and signed agreement

• Develop relationships with decision-makers and understand their business needs.

• Present companies products and services, tailoring proposals to each prospect

• Lead commercial discussions, negotiate terms and coordinate contracts with internal teams.

• Research markets, competitors and industry trends to inform growth plans

• Work with product and technical teams to assess partner requirements and support onboarding

• Coordinate with compliance, legal, finance and operations on due diligence and partnership readiness

• Maintain accurate pipeline, forecasts, and activity records in the CRM

• Track partnership performance and identify opportunities to improve retention, revenue, and expansion

• Represent company at relevant industry events and build a network of prospective partners

• Build and maintain long-term relationships with clients and partners

Working Conditions:

• Full-time position: Monday–Friday, 10:00 AM – 7:00 PM

• Remote work format

• Access to all necessary tools for productive workflow

• Company-sponsored professional development

• Corporate English trainings

• Opportunities for career growth across different projects and roles

Job Description

Bachelor's or Master's degree in Computer Science, Software/Biomedical Engineering, or a related field.
12+ years in software engineering services or product R&D, including 3+ years in technical presales, solution architecture, or consulting.
Strong MedTech background: hands-on experience delivering or selling regulated medical device software (SaMD/SiMD) under IEC 62304, ISO 13485, and ISO 14971.
Working knowledge of FDA (510(k), De Novo, PCCP, cybersecurity premarket guidance) and EU MDR/IVDR requirements and how they shape scope, estimates, and delivery models.
Practical expertise in AI/GenAI for healthcare: AI-enabled medical devices, the ML lifecycle under regulatory constraints, LLM/agentic solutions, and AI-assisted SDLC.
Demonstrated ability to own a market segment or solution area, including offering definition, positioning, and pipeline generation, without direct reports.
Ability to build solution architectures, estimates, and delivery models, and defend them in front of client engineering and procurement.
Solid grasp of modern engineering: cloud (AWS/Azure/GCP), connected devices and IoT, embedded, and data platforms.
Executive presence and storytelling skills, comfortable with VP/C-level audiences at medical device and healthcare companies.
Willingness to travel across EMEA and occasionally to North America.
English at C1 level or higher.

Nice to Have
Familiarity with the EU AI Act, FDA AI/ML guidance (including PCCP), and GMLP, and their impact on AI product development.
Experience with healthcare interoperability (HL7, FHIR, DICOM, IHE) and hospital IT (HIS, LIS, PACS).
Familiarity with IEC 81001-5-1, IEC 60601-1, and GDPR/HIPAA implications for device and AI software.
Established network among EMEA MedTech OEMs, diagnostics, or healthtech companies.
Background at a medical device manufacturer (R&D, Quality, or Regulatory) in addition to services experience.
Additional EMEA languages (German, French, Italian, Nordic, or Polish).
Proven track record of winning large, complex deals (multi-million EUR/USD, multi-year) through RFPs, RFIs, and proactive proposals.

Job Responsibilities

• Own and grow assigned MedTech segments in EMEA (e.g., diagnostics and lab automation, imaging, digital surgery, connected care, hospital IT), including segment strategy, target accounts, and pipeline.
• Drive assigned solution areas (e.g., AI-enabled devices, AI-assisted regulated SDLC, cybersecurity, interoperability) and define offerings, reference architectures, and go-to-market messaging.
• Lead the technical solution for strategic pursuits: discovery, solution design, estimation, delivery model, and risk assessment.
• Drive RFP/RFI responses and proactive proposals end to end, ensuring regulatory framing, compliance approach, and credible team ramps.
• Position GlobalLogic's AI capabilities in every relevant pursuit, including AI features in devices, GenAI/agentic solutions, and AI-accelerated engineering, in a regulation-aware way.
• Shape and evangelize healthcare AI accelerators and reusable components, and translate them into client value propositions and demos.
• Partner with Sales, Client Partners, and Delivery to shape deals, define win themes, and support pricing and commercial structuring.
• Lead client workshops, orals, and executive presentations as a senior technical voice for GlobalLogic in Healthcare & MedTech.
• Mentor architects and SMEs involved in pursuits within owned segments, providing technical direction without formal line management.
• Build thought leadership through whitepapers, webinars, and industry events on MedTech engineering and AI.

Department/Project Description

Role summary: A senior individual-contributor role driving GlobalLogic's technical presales for Healthcare & Medical Devices in EMEA. You will own selected MedTech segments and solution areas end to end, from market positioning and offering development to technical leadership of pursuits. You will act as a trusted advisor to client R&D, Quality/Regulatory, and C-level stakeholders, with AI as a core part of every solution story.

Skill Category

Management

About the Company

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

The project is a rapidly growing international FinTech platform transforming the restaurant payment experience through QR-code payments, bill splitting, digital menus, mobile ordering, and payment solutions.

The product is already live and backed by $72M in funding. With established BI and Data Engineering teams, the next step is to scale A/B testing across Product, Sales, and Operations.

You'll play a key role in building a scalable experimentation framework, improving data-driven decision-making, and helping teams turn hypotheses into measurable business outcomes.

Responsibilities

• Own and scale A/B testing and experimentation processes across multiple business functions.
• Configure and optimize GrowthBook and expand experimentation capabilities to mobile applications.
• Establish statistical testing standards, including power analysis, variance reduction, and sequential testing.
• Define experiment success metrics, guardrails, and evaluation methodologies.
• Develop experimentation playbooks and train Product, Sales, and Operations teams.
• Analyze experiment results and provide actionable recommendations to stakeholders.

Requirements

• 5+ years of professional experience in Product Analytics.
• 2+ years of hands-on experience with A/B testing and experimentation.
• 1+ year of experience with GrowthBook, Statsig, Optimizely, or similar experimentation platforms.
• 1+ year of hands-on experience with SQL.

Why Join This Project?

• High Impact: Shape the experimentation strategy of a rapidly scaling international FinTech product.
• Ownership: Build and improve experimentation processes rather than simply execute existing tests.
• Cross-functional Collaboration: Work closely with established BI and Data Engineering teams, as well as Product, Sales, and Operations.
• Modern Tooling: Work with GrowthBook, BigQuery, and AI-powered tools.

We Offer

• 20 paid vacation days per year.
• 5 paid sick leave days per year without medical documents.
• Personalized development plan with training compensation.
• English courses compensation.
• Work equipment if needed.
• Flat and transparent internal communication.
• Opportunity to switch between projects and technologies within Digis.
• Full accounting and legal support.
• Free access to corporate psychologist services.

If this opportunity sounds like a good fit, we'd be happy to hear from you. Apply now!

Responsibilities 

• Design, develop, and maintain backend application logic for invoice retrieval, validation, processing, and routing.
• Integrate with external systems through REST APIs using JSON and OAuth 2.0, including content-based routing scenarios.
• Build, deploy, and operate the solution as a Databricks App using Databricks Workflows, Delta Lake, and Unity Catalog.
• Develop and maintain an operational user interface for monitoring processing status, exceptions, and error handling.
• Implement robust logging, monitoring, observability, and error-handling mechanisms to ensure production reliability.
• Apply strong software engineering practices, including version control, CI/CD, automated unit and integration testing, and controlled deployments.
• Troubleshoot production issues and continuously improve application stability, performance, and maintainability.
• Collaborate with business and technical stakeholders to clarify requirements and deliver reliable application functionality.

     Requirements

• Strong hands-on experience with Databricks Apps, Databricks Workflows, Delta Lake, and Unity Catalog.
• Experience with e-invoicing solutions or invoice-processing workflows.
• Strong Python backend development skills, including validation logic, routing, API integrations, and application-level processing.
• Solid experience working with REST APIs, JSON, OAuth 2.0, and content-based routing patterns.
• Hands-on experience developing user interfaces with Streamlit or React within Databricks Apps.
• Good practical experience with Git, CI/CD pipelines, automated unit and integration testing, logging, monitoring, and production support.
• Strong understanding of software engineering principles and production-grade application development.
• Proven experience delivering and supporting stable production applications, rather than working exclusively with data pipelines.
• Strong troubleshooting and problem-solving skills, with the ability to diagnose application and integration issues.

Nice to have

• Experience integrating with SAP Ariba, ERP, procurement, or related enterprise platforms.
• Knowledge of UBL, PEPPOL, or similar electronic invoicing standards.
• Previous experience delivering and operating Databricks Apps in production environments.

Who we are

We build tools and infrastructure for businesses working in the creator economy. We're profitable, growing 20-30% month over month. Experienced lean startup team with half a dozen 7-figure exits in the industry.

We're expanding into a single API for multiple creator and social platforms. Customers should be able to integrate once and get consistent responses, webhooks and SDKs.

Who we are looking for

We're looking for a do-it-all support engineer who loves solving problems, communicating clearly, and helping developers ship faster. You'll be the first point of contact for our customers - handling everything from quick integration questions to in-depth troubleshooting, billing inquiries, and product feedback - and a key bridge between our users and the development team across our products. 🛠️

This role isn't just a support queue. We see it as a growth seat - and we're not big on micromanaging how you run it. The person closest to our customers' problems is also best positioned to write the content that prevents them, promote what we're building, and spot expansion opportunities with the accounts they already talk to every day. If you're comfortable owning that end-to-end and turning recurring headaches into content, promo, and pipeline, you're our kind of person. How far you take it is largely up to you. 📈

Preferred Location: Remote • Full-Time • (Candidates based in Czech Republic, Ukraine, Poland, or the UK preferred, office in Prague).

What You’ll Work On

1. Build
   • Independently design, build, and maintain our support tool to log tickets, custom inquiries, and customer interactions across channels (Telegram, email, etc.)
   • Define the data model, workflows, statuses, and reporting with input from the team
   • Integrate with our existing stack (Stripe, Linear, Slack, Telegram and our APIs)
   • Iterate on the tool based on your own daily use and team feedback
2. Support
   • Provide technical support via Telegram, email, and other channels - from quick questions to complex troubleshooting
   • Conduct screen sharing sessions to diagnose issues and guide implementation
   • Triage and document bugs, escalate to the development team via Linear
   • Maintain documentation - guides, FAQs, troubleshooting articles, and integration examples
3. Customer Success
   • Handle billing and subscription inquiries, resolve Stripe-related issues
   • Onboard new clients and ensure smooth technical integration
   • Own the support queue and maintain high response quality
   • Collect and relay product feedback to shape the roadmap
4. AI-Powered Workflows
   • Work with our integrated AI to triage and handle support workflows
   • Own the quality of our AI support: review AI conversations daily, find where it gets things wrong, vague, or off-tone, and fix the root cause
   • Continuously improve the AI through better prompts, knowledge base content, escalation rules, and guardrails
   • Define when the AI should answer, when it should ask a clarifying question, and when it should hand off to a human
   • Track and report on AI performance: resolution rate, handoff rate, accuracy, customer satisfaction, and recurring failure patterns
   • Stay current on AI models and tooling, and test new models, features, and approaches against real support conversations to decide what is worth adopting
   • Build agents for further automation (ticket tagging, bug reproduction, billing lookups, draft replies, and more)
   • Treat every bad AI answer as a bug to be understood and fixed, not just corrected once
5. Growth Opportunities
   • Write technical articles and case studies from conversations
   • Spot upsell/upgrade potential in the support queue
   • Spot new development and growth opportunities
   • Represent FansAPI in developer communities as a knowledgeable presence

What You Bring:

Essential Skills:

✅ Junior developer experience (professional, freelance, or substantial personal projects)

✅ Ability to independently build a working web application end to end (backend, database, and a simple UI) using AI coding tools

✅ GitHub profile with projects we can review

✅ Solid understanding of REST APIs - reading API docs, debugging requests/responses, and working with JSON

✅ Strong written and spoken english communication skills -clear, concise, and professional

✅ Experience working in or alongside a software development team

✅ Comfort using Linear (or similar issue tracking tools) to log, track, and escalate bugs

✅ Familiarity with Stripe - subscriptions, payment flows, and common billing issues

✅ Ability to jump on screen sharing calls and calmly guide customers through technical issues

✅ Highly organised, self-directed, and comfortable operating in a small, fast-moving team

Bonus Points For:

⭐️ Proficiency in additional languages beyond English - any language is a plus given our international customer base

⭐️ Understanding of AI support tools and how they’re used in customer-facing workflows (chatbots, AI-assisted ticket triage, automated responses, and knowing where human handoff matters)

⭐️ Familiarity with Claude Cowork or similar AI workflow automation agents

⭐️ Experience with Laravel 13, Inertia, and React

⭐️ Familiarity with the Creator ecosystem - creator agencies, CRM tools, or fan engagement platforms

⭐️ Experience writing or maintaining technical documentation

⭐️ Background in developer support, DevRel, or SaaS technical support

⭐️ Interest or prior experience in content writing, community management, or outbound/inside sales - you don't need expertise, just genuine interest in growing in that direction

Why Join Us?

• Small team, big impact
• Competitive pay + bonus opportunities
• Work with experienced devs who’ve built real companies
• No micromanagement, async culture, fully remote
• Real room to grow - your trajectory isn’t capped at “support.”

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior ML Engineer to join our team!

Requirements:

• Strong production Python and ML systems experience
• Shipped ML workflows beyond notebooks (orchestration + cloud + ops)
• Familiar with distributed/batch ML compute and experiment/model versioning
• Comfortable owning systems end to end: design, implementation, debugging, operations

Will be a plus:

• CV, video, or foundation-model/auto-labeling experience
• Dagster/Airflow, Dask/Ray, AWS, ONNX/export workflows

Soft Skills:

• Ownership — takes responsibility for outcomes, not just tasks
• Learning agility — picks up new tools/domains fast and applies them quickly
• Experimentation mindset — tests ideas with clear hypotheses and shares results openly
• Cross-team collaboration — works well across projects and helps others succeed
• Clear communication — explains tradeoffs simply and keeps stakeholders aligned
• Pragmatism — balances ideal solutions with what the team needs now
• Comfort with ambiguity — makes progress in unclear R&D environments
• Constructive feedback — gives/receives feedback well in code reviews and pairing
   

Responsibilities:

• Build and maintain end-to-end ML pipelines: data ingestion → training → evaluation → export
• Operate distributed training/inference workloads on cloud GPU/CPU infrastructure
• Own dataset workflows: validation, splitting, versioning, and quality checks
• Integrate manual and automated labeling into reproducible training flows
• Maintain CI/CD, monitoring, runbooks, and internal CLI/API tooling
• Collaborate with product, domain experts, and QA to turn requirements into pipeline changes

Our benefits to you:
☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location

Our IoT platform opens an opportunity to grow beyond traditional sales. You’ll start by finding and engaging the right customers, learn the product and its use cases, and gradually move into discovery calls, product demos and solution selling.

Office Location: 40G, Kyryllivska St, Kyiv, Ukraine (remote work is available)

Company: Kaa IoT – A leading platform for IoT solutions (www.kaaiot.com)

Location: Hybrid / Remote / Office in Ukraine or abroad

Who We Are Looking For:

An ambitious, motivated, and energetic junior sales professional with a strong interest in technology and solution-based selling. We are looking for someone who is comfortable with outbound sales and lead generation and is eager to gradually grow into a client-facing sales role.

You will start by focusing on prospecting, outreach, and lead qualification, and over time take on more responsibility for customer conversations, product demonstrations, and sales opportunities across different IoT industries.

Experience or interest in IoT, Cloud, Building Management Systems (BMS), energy monitoring, connected devices, or other technology solutions is a plus.
 

      Responsibilities:

• Research target markets, companies, and contacts based on our Ideal Customer Profile (ICP), and build relevant prospect lists.
• Create personalized outreach messages and manage outbound campaigns across email, LinkedIn, and other channels.
• Engage and qualify prospects through written communication, including outbound outreach, inbound leads, and other channels.
• Manage outreach across multiple accounts and maintain consistent communication with prospects.
• Manage sales activities and opportunities in the CRM, ensuring consistent follow-ups and keeping communication history and next steps up to date.
• Responsible for achieving aggressive weekly targets such as number of qualified opportunities per campaign, number of daily activities/tasks, call quality, appointment setting, and sales skills.

• Collaborate with the marketing team on LinkedIn activities and product-related content to support outreach and engagement.

   

Over time:

• Conduct initial calls and discovery with qualified prospects to understand their use case, devices, project scope, and key requirements.
• Conduct product demonstrations and develop strong product knowledge.
• Support prospects during product evaluations and coordinate with the technical team when needed.
• Build long-term client relationships and gradually take ownership of qualified opportunities throughout the sales process.

Requirements:

 - Skills:

• Basic understanding of IT and IoT concepts.
• Experience with AI tools, modern technologies, or a technical background is a plus.
• Ability and willingness to learn technical products and understand different IoT use cases.
• Understanding of ICP-based prospecting and lead qualification.
• Experience or familiarity with lead generation and prospecting tools such as Apollo, Clay, LinkedIn Sales Navigator, and other similar tools is a plus.
• Experience with email and LinkedIn outreach, including writing personalized messages, building outreach sequences, and handling initial objections or “not interested” responses.
• Experience in direct written communication with clients and stakeholders.
• Hands-on experience with CRM tools or sales pipelines.
• Strong organizational skills with attention to follow-ups, priorities, and next steps.

 - Languages: English (B2–С1 level)

 - Mindset: High motivation, strong work ethic, and a results-driven approach

What We Offer:

- A fast-growing and innovative work environment

 - Competitive salary with an attractive commission model

 - Opportunities for international networking and career growth

 - Dynamic and supportive team

 - Work flexibility: Hybrid / Remote options available

Are you ready to build your career in IoT and Cloud sales?

We are seeking a Product Analytics Lead to own and elevate our data-driven decision-making process through behavioral analytics, hypothesis testing, and user insights. In this role, you will build robust analytics frameworks, set the standard for evaluating new feature launches and A/B tests, and work closely with Product Managers, Data Science, and Analytics teams. Beyond technical leadership, you will mentor analysts and foster a strong data-driven culture across the company.

Responsibilities

• Lead the product analytics function and drive data-informed product decision-making across the organization.
• Build and continuously improve the product analytics framework, including methodologies, standards, and best practices.
• Partner closely with Product Managers, Data Science, and Analytics teams to identify opportunities, validate hypotheses, and support product strategy.
• Design, evaluate, and interpret A/B tests, experiments, and product releases, ensuring statistically sound conclusions and actionable recommendations.
• Define and monitor key product metrics, including funnels, retention, cohorts, LTV, conversion, and user behavior metrics.
• Translate complex datasets and analytical findings into clear business insights and product recommendations.
• Proactively identify trends, root causes, growth opportunities, and potential product risks.
• Challenge assumptions and help teams make better decisions through structured analytical thinking.
• Mentor and develop Product Analysts, strengthening analytical expertise and raising the overall quality of analytics within the team.

• Promote a strong data-driven culture and ensure analytics is embedded into the product development lifecycle.

   

Requirements

• 2+ years of experience in a Product Analytics Lead, Lead Product Analyst, or similar leadership role.
• Strong / Advanced SQL skills, including complex queries, query optimization, and data modelling.
• Strong knowledge of mathematical statistics, including hypothesis testing, confidence intervals, sample-size calculation, and statistical significance.
• Hands-on experience designing, running, and evaluating A/B tests and product experiments.
• Strong experience evaluating product launches and incremental releases.
• Deep understanding of product analytics and key metrics, including funnels, retention, cohort analysis, LTV, conversion, and behavioral metrics.
• Hands-on experience with BI and visualization tools such as Tableau, Looker, or similar platforms.
• Experience using Python for data analysis.
• Strong product mindset with the ability to connect analytical findings to business objectives and product strategy.
• Strong stakeholder-management and communication skills, including the ability to explain complex analytical and statistical concepts to non-technical audiences.
• Strong critical thinking and a proactive approach to hypothesis validation, root-cause analysis, and challenging assumptions.

• Proven mentoring or leadership experience with junior and mid-level analysts.

   

Nice to Have

• Experience within iGaming / Gambling.
• Experience in a product-driven technology company developing its own digital product.
• Experience working with large-scale user and behavioral datasets.
   

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

Location: Cascais, Portugal (on-site). We are looking for candidates based in Cascais or nearby areas 

REQUIREMENTS: 

• Experience in office administration or a similar administrative role 
• Understanding of office management procedures and administrative processes 
• Upper-Intermediate (B2) level of English and Portuguese, both written and spoken 
• Fluent/native Ukrainian language,  
• Excellent organizational, planning, and time management skills 
• Ability to multitask, prioritize tasks, and work independently in a fast-paced environment 
• Strong attention to detail and problem-solving skills 
• Excellent communication and interpersonal skills 
• Ability to research information, compare options, and find effective solutions 
• Proactive approach and a strong sense of responsibility 
• Good command of MS Office and other basic office tools 

Would be a plus: 

• Experience working in an international environment 
• Experience coordinating vendors, service providers, and office maintenance 

RESPONSIBILITIES: 

• Ensure the smooth day-to-day operation of the office and maintain a comfortable, well-organized working environment 
• Coordinate office maintenance and arrange necessary repairs 
• Manage office supplies, including stationery, groceries, and other essentials 
• Monitor stock levels and ensure timely replenishment of office supplies 
• Prepare workspaces and coordinate office arrangements for new employees 
• Organize and coordinate corporate activities and team events 
• Communicate and coordinate with external service providers, suppliers, and contractors 
• Handle routine administrative tasks and support general office operations 
• Collaborate with the HR team on employee onboarding, internal initiatives, and team activities 
• Assist with various administrative tasks from management 

WE OFFER: 

• Competitive compensation 
• A comfortable and welcoming office in Cascais 
• A friendly and supportive team in an international company  
• A positive working atmosphere where your ideas and initiatives are valued 
• Opportunities to develop your skills and grow professionally 
• The freedom to take initiative and make a real impact on the office environment 
• Corporate events, team activities, and opportunities to connect with colleagues 
• A stable, long-term opportunity within a growing company 
• Supportive management and an open company culture 
• Work schedule Monday to Friday, 9:00 AM – 6:00 PM 

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Team Lead GO to join our team!

Requirements:

- 3+ years of development experience with Go;

- Strong time management and organisational skills;

- Ability to design and implement scalable and reliable software solutions;

- Excellent problem-solving skills;

Git, GitLab, GitLab CI;

- Experience with multiple databases (RDBMS, NoSQL, Redis) and messaging services (Kafka, NATS), ideally run in a cloud environment;

- Strong system design skills;

REST/RPC transports;

- Practical knowledge of containers (Docker, Kubernetes);

- Experience with microservices design and development;

- Understanding of the importance of a well-organised codebase and documentation;

- Strong analytical skills and an open-minded, creative team player mindset;

- English: Upper-Intermediate.

Will be plus:

- Understanding of event-driven architecture;

- Understanding of Twelve-Factor App methodology;

CloudEvents;

- Experience working with cloud services (GCP/AWS);

- GitOps;

- Terraform;

- Helm/ArgoCD;

- Grafana/Tempo/Loki + Prometheus;

- High-load systems;

- Experience coordinating complex third-party dependencies.

Soft Skills

- Responsibility;

- Sociability;

- Proactivity;

- Self-organization.
 

Responsibilities:

- A Team Lead is the day-to-day technical coordinator of a specific team, acting as the execution arm of the EM and ensuring that the team is focused, unblocked, and working efficiently toward shared goals.

- They ensure smooth operation, coordination, and quality within the team, while escalating architectural, technical, or people matters to the EM.

- They are accountable for team delivery, individual growth, and operational excellence within their scope.

Technical Leadership, Ownership & Support:

- Own the day-to-day technical execution within the team, from new features to bug fixes and quality improvements.

- Ensure the team's code quality through reviews and enforcement of best practices (testing, security, maintainability). 

- Drive code reviews, enforce coding standards, promote testing and documentation, and help the team write robust, production-ready code.

- Support and contribute to hands-on coding and testing. Lead by example through hands-on development, particularly for complex or critical features.

- Own delivery of team components and backend capabilities as defined in sprint goals.

- Facilitate design discussions within the team; escalate complex architecture topics to EM or Architect.

- Raise and track technical debt; provide input to the EM for prioritization.

- Facilitate task prioritization, workload balancing, and sprint planning. - Track progress, identify risks, and resolve blockers.

Planning & Delivery Coordination:

- Ensure alignment with PMs, QA, DevOps, and BAs on deliverables. 
- Work closely with PMs, EMs, QAs, and BAs to ensure that deliverables are clearly understood, scoped, and assigned.

- Break down work items into deliverable tasks in collaboration with PMs and EMs, balancing workload fairly across developers and helping manage priorities during sprints.

- Actively participate in sprint planning, stand-ups, and retrospectives.

Monitor team progress and adjust scope or priorities when needed, escalating blockers to the EM.

- Maintain transparency on delivery status and keep stakeholders informed of changes, delays, or challenges.

- Coordinate hand-offs and dependencies within the team and with adjacent teams.

People Leadership & Development:

- Directly manage engineers on the team (Juniors, Middles, Seniors).

- Conduct 1:1s, performance evaluations, career growth discussions, and coaching.

- Provide day-to-day mentoring and guidance to developers, especially junior and mid-level engineers, by answering questions, sharing context, and offering feedback.

- Foster a positive and inclusive team culture; ensure psychological safety, motivation, and team morale.

- Participate in team growth activities, including hiring, interviewing, candidate evaluation, and onboarding of new engineers.

- Identify talent and growth opportunities; support professional development. 

- Partner with EM and Domain Lead to hire, onboard, and retain high-quality engineers.

- Encourage a sense of ownership and pride in the team's work; celebrate wins and learn from failures together.

Communication & Reporting:

- Keep EM and PM informed of team progress, risks, and dependencies.

- Share updates from EM or domain leads with the team.

- Act as the go-to person for team-level updates in cross-team syncs or sprint reviews.

- Participate in cross-team discussions to ensure alignment with domain strategy and priorities.

Success Criteria:

- The team consistently delivers on commitments with high quality.

Engineers are growing in skills and autonomy.

- The team operates efficiently, collaborates effectively, and maintains a healthy culture.

- Stakeholders trust the team for delivery, transparency, and problem-solving.

Our benefits to you:
☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location

WHAT YOU'LL DO:
Discovery & requirements
- Engage business stakeholders directly to elicit, clarify, and document business requirements.
- Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification
- Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
- Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)
- Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
- Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
- Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality
- Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
- Own quality end to end: you are the developer *and* the tester, and "done" means verified.

Ship & operate
- Deliver through our CI/CD pipelines and infrastructure as code.
- Build observability in at design time (metrics, logs, tracing) and support what you ship.
 

• 
  HOW WE WORK
  - Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
  - Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
  - AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.
  
  WHAT SUCCESS LOOKS LIKE:
  Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.

You'll lead product design at SkinnyRx end-to-end — from defining the problem and shaping the product direction to shipping polished UI.

This is a Lead Product Design role with a strong UI focus. You'll set the bar for visual craft across the product while working shoulder-to-shoulder with our Head of Product and executive team on what we build, why we build it, and how it comes to life.

AI is deeply embedded in how we work. You'll use it across the entire design process — from exploration and content generation to prototyping and production.

What you'll do

• Own product design end-to-end across the SkinnyRx app and web — from problem definition and UX flows to final shipped UI
• Set and evolve the visual design bar for the product, creating a cohesive, high-quality experience across onboarding, patient dashboards, intake, billing, and content surfaces
• Partner directly with the Head of Product and executive team to shape product direction, prioritize opportunities, and turn ideas into shipped experiences
• Generate and art-direct AI-produced content — product imagery, illustration, lifestyle photography, micro-animations, and video — at a quality that feels intentional and distinctly SkinnyRx
• Prototype interactively — in Figma when precision matters and in code via AI tools when realism and speed matter
• Build systems and patterns that let the team move quickly without sacrificing craft or consistency

• Partner closely with engineering, copy, and marketing through tight, iterative shipping cycles

   

What we're looking for

• 5+ years in product design, with experience owning meaningful consumer product experiences end-to-end
• A standout UI portfolio demonstrating exceptional visual craft and shipped consumer work
• Strong product judgment — you can move beyond executing requirements and help determine what should be built and why
• The ability to operate independently and lead through the work, bringing back thoughtful options rather than blockers
• Deep, daily use of AI throughout your workflow, including:
  • Imagery & video: Midjourney, Sora, Runway, Kling, Nano Banana
  • Code prototyping: Cursor, Claude Code, Codex
  • Design & production: Figma AI, MCP-based workflows

• Comfort moving between product thinking, interaction design, visual design, prototyping, and production details

   

Why join SkinnyRx

• High ownership and direct influence over the product and design direction
• Work closely with the people making product and technology decisions
• A culture of shipping weekly rather than designing in isolation
• AI-native workflows with a generous tooling budget — if a tool makes you better or faster, we want you using it
• Fully remote and async-friendly, across time zones
• Compensation scaled to your level

About Us

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website.

The Role

We are looking for a Backend Software Engineer with strong experience in building scalable systems and a deep interest in AI-powered applications.

This is a high-impact, hands-on role where you will design and build backend services, integrate AI capabilities, and develop intelligent, agent-driven workflows used in real-world production environments.

You will work closely with product, AI, and engineering teams to deliver reliable, high-performance systems and automation features.

What You Will Do

Backend Development

• Design, build, and maintain backend services using Java (Spring Boot) and Python
• Develop scalable APIs and microservices for data-intensive applications
• Optimize system performance, reliability, and scalability
• Design efficient data models and handle complex integrations

AI & Intelligent Systems

• Implement and integrate AI-powered features into core products
• Design and build agent-based workflows for automation and decision-making
• Apply prompt engineering techniques to improve LLM outputs and behavior
• Work with modern AI frameworks to productionize intelligent systems

Cloud & Infrastructure

• Develop and deploy backend systems on AWS (EC2, S3, RDS, Lambda, etc.)
• Build resilient, scalable cloud-native services
• Contribute to system monitoring, logging, and reliability

System Design & Engineering Excellence

• Contribute to architecture, service boundaries, and system design decisions
• Write clean, maintainable, and well-documented code
• Ensure security, performance, and operational stability
• Continuously improve engineering quality and development practices

Collaboration

• Work closely with frontend, product, and AI teams
• Contribute to end-to-end feature delivery
• Participate in Agile development processes

Requirements

• 5+ years of backend software development experience
• Strong experience building and scaling backend systems in production

Core Technical Skills

• Strong experience with Java and Spring Boot
• Solid experience with Python
• Strong knowledge of SQL and database design (PostgreSQL preferred)
• Experience building REST APIs, microservices, and distributed systems
• Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.)
• Proficiency with Git and modern development workflows

AI & Modern Development Experience

• Experience with prompt engineering for LLM-based systems
• Practical experience building AI agent workflows in production
• Familiarity with frameworks/tools such as:
  • LangGraph
  • LangChain
  • LangSmith
  • or similar ecosystems
• Experience using AI-assisted development tools, such as:
  • Claude Code
  • Codex
  • OpenCode
  • or similar

Nice to Have

• Experience with vector databases or semantic search (e.g., Milvus)
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with event-driven architecture

• Experience with data processing pipelines or document AI systems

   

Why Join Us

• Work on cutting-edge AI-powered systems in a $17T industry
• Build real-world applications using LLMs, agents, and automation
• High ownership and autonomy with meaningful technical impact
• Opportunity to influence system design and engineering direction
• Fast-moving, execution-focused team with minimal bureaucracy
• Competitive compensation and flexible work environment

Our Customer:

Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign performance.

Your tasks:

• Develop, improve, and operate ML models used in production advertising systems.
• Work on ML problems related to bidding, bid optimization, and real-time advertising decision-making.
• Develop models for CTR/CVR prediction.
• Optimize campaign performance, budget allocation, and pacing.
• Work on ranking and decisioning models for advertising systems.
• Analyze large-scale advertising data and identify opportunities for optimization.
• Translate business and advertising problems into practical Data Science / ML solutions.
• Evaluate model performance and business impact using relevant advertising KPIs.
• Conduct experiments and A/B testing to validate and improve ML solutions.
• Collaborate with engineering and product teams to deploy and continuously improve production models.

Required experience and skills:

• 5+ years of commercial experience in Data Science / Applied Machine Learning.
• Hands-on experience in AdTech / Programmatic Advertising.
• Direct experience with RTB / real-time bidding systems.
• Commercial experience applying ML/Data Science to advertising optimization.
• Hands-on experience with bidding or bid optimization.
• Experience with CTR/CVR prediction, campaign optimization, ranking, pacing, budget allocation, or advertising decisioning.
• Experience developing, improving, or operating ML models in production.
• Strong Python skills.
• Strong SQL skills and experience working with large-scale datasets.
• Experience translating business problems into ML/Data Science solutions.
• Strong analytical and problem-solving skills.
• Strong English communication skills.

Would be a plus:

• Experience with DSP platforms.
• Experience with bidder logic, bidding algorithms, or bid-price optimization.
• Knowledge of OpenRTB and auction dynamics.
• Experience with real-time decisioning or pre-bid optimization/filtering.
• Experience with user acquisition, retargeting, or performance advertising.
• Experience with large-scale real-time ML.
• Experience with online experimentation / A/B testing.
• Experience with contextual bandits, online learning, or reinforcement learning.