Jobs

We are seeking a Senior Product Manager to lead our ad network and channel integration strategy. This role is critical to our platform's expansion and optimization, working directly with company leadership to drive product roadmap decisions while managing a specialized technical team responsible for building and maintaining integrations with major advertising platforms.

Key Responsibilities

• Collect and translate business requirements from company ownership into actionable product specifications
• Define and execute product strategy for ad network integrations and channel expansion
• Drive cross-functional collaboration between engineering, data science, and business development teams
• Lead and mentor a specialized integration team of engineers and QA professionals
• Set team priorities, manage sprint planning, and ensure delivery excellence
• Foster a culture of innovation and technical excellence within the integration team

Product Development Priorities

Primary Focus:

• Automate existing channel integrations to enable seamless two-way data synchronization
• Optimize current integrations for improved data accuracy and real-time reporting capabilities
• Streamline integration processes to reduce manual intervention and improve scalability

Secondary Focus:

• Identify and prioritize new high-value advertising channels for integration
• Lead technical evaluation and implementation of new platform partnerships
• Expand market reach through strategic channel additions

Technical Oversight

• Define technical requirements and API specifications for channel integrations
• Create comprehensive product documentation and visual schematics for integration architectures
• Ensure data integrity and compliance standards across all integrated platforms
• Drive automation initiatives to improve operational efficiency and reduce time-to-market for new integrations

Required Qualifications

• 5+ years of product management experience in adtech, programmatic advertising, or related fields
• Deep, hands-on understanding of major advertising networks including:
• Paid social media platforms (Facebook, LinkedIn, Twitter, TikTok, etc.)
• API integrations and data synchronization protocols
• Experience with marketing automation platforms and attribution modeling
• AI-first mentality, strong interest in the emerging technologies, willingness to learn, adapt, and use AI tools to build portotypes, monitoring tools, and otherwise use them to aid both your and the teams' goals.
• Proven track record managing technical teams and complex integration projects
• Strong analytical skills with experience in data-driven product decisions
• Understanding of advertising technology ecosystem and data flow
• Experience with API integrations, webhooks, and real-time data processing
• Familiarity with advertising platform APIs and their capabilities/limitations
• Knowledge of data privacy regulations and compliance requirements
• Excellent stakeholder management and communication skills
• Experience translating business requirements into technical specifications
• Strong project management skills with ability to manage multiple concurrent initiatives
• Collaborative leadership style with proven ability to influence cross-functional teams

Nice to Have:

• Deep understanding of programmatic advertising channels (DSPs, SSPs, ad exchanges)
• Experience in pharmaceutical, healthcare, or highly regulated industry marketing
• Understanding of healthcare professional targeting and compliance considerations
• Familiarity with NPI data and healthcare professional identification systems
• Background in automation technologies and AI agent development/implementation
• Experience building or managing intelligent automation workflows and AI-driven processes

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

As a Machine Learning Engineer, you'll work as part of the Wix CTO Office team, researching problems that can give Wix’s products a competitive edge across various challenges. A key focus of the team is on Agents over LLMs, exploring new techniques for building agents and developing innovative products that leverage them.  

In your day-to-day, you will:  

• Build POCs for research projects led by the team  
• Evaluate results and provide actionable insights  
• Collaborate with different teams at Wix to advance their agent implementations  

• Build shared infrastructure for agents  

   

Requirements

• Creativity and willingness to tackle ambitious, high-risk problems  
• 3+ years of experience in working on production code with active users  
• BSc in Computer Science or related field, MSc preferred  
• Proficient in Python; TypeScript is a significant advantage  
• Experience in training and evaluating Machine Learning models  
• Hands-on experience with building GenAI systems using LLMs and agents  
• Proven ability to work in a collaborative, cross-functional environment  
• Excellent written and verbal communication skills in English 

About the Team  

We are Wix's Data Science CTO Office team, a small group of researchers and engineers. We collaborate with various groups at Wix and the CEO on innovative research projects. Some projects aim to enhance Wix products with new features, while others focus on strategic research areas that can provide Wix with a competitive advantage.

Our projects is to develop and support the different software products in domains: logistic, ecom, big data, ML, etc. Also we in progress on global migration from large on-prem to native AWS services use progressive DevOps/SRE approaches. This is a great opportunity to join and build new solutions for Ukraine business. 
 

Responsibilities 

• Building software services for DevOps, ITOps & customer support teams.  
• Patching up support escalation cases.  
• Making on-call rotations and processes the best they can be.  
• Documenting share-ready knowledge.  
• Conducting post-incident reviews that help.  
• Delivering solutions that leverage the best automation tools on offer.  
• Maintainability mission-critical projects  
• Participation in bootstrap projects 
   

Requirements 

• Ability to manage multiple projects simultaneously; 
• Experience with GitLab; 
• Experience with Continuous Integration; 
• Experience in AWS; 
• Experience with Azure AD; 
• Experience with terraform; 
• Experience with AWS cdk; (will be a plus) 
• Eager to take responsibility, accountability and ownership of systems and processes; 
• Experience using Atlassian products: Jira, Confluence 
• Experience using PagerDuty or Service Management(OpsGenie) 
• 3+ years of industry experience; 
• Expert in using REST and SOAP API’s; 
• Knowledgeable of securing data; understands PGP, SSH, OAuth, SFTP, HTTPS, SFTP; 
• Basic FinOps experience(will be a plus) 
• Knowledgeable of OWASP Top 10 

Technologies that we use 

• AWS Cloud  
• ECS, EKS, Kubernetes, Prometheus, Grafana 
• GitLab, Teamcity 
• Terraform and AWS CDK 
   

We offer 

• The opportunity to work on a internal multiple projects. 
• Very skilled teammates and positive atmosphere  
• We are not tied to the office, willing to work remotely. 
• Health insurance. 
• Compensation of sports clubs and foreign language schools. 
• Internal training (IT and not only); 

Our project focuses on building and operating a scalable MLOps platform based on Kubeflow and KServe, enabling end-to-end machine learning workflows — from experimentation to production inference.  

The platform is deployed on Kubernetes and integrates modern DevOps/SRE practices, including automation, observability, and reliability engineering. We are actively evolving the system towards cloud-native architectures with a strong focus on performance, scalability, and cost efficiency. 

This is a great opportunity to work on production-grade ML infrastructure, influence platform design, and build reliable solutions for real business needs. 

Responsibilities 

• Building software services for Data Scientists, Data Engineering an Developer teams.  
• Patching up support escalation cases.  
• Making on-call rotations and processes the best they can be.  
• Documenting share-ready knowledge.  
• Conducting post-incident reviews that help.  
• Delivering solutions that leverage the best automation tools on offer.  
• Maintainability mission-critical ML services 
• Participation in bootstrap new ML teams/projects 
   

Requirements 

• Experience with GitLab; 
• Experience with Continuous Integration; 
• Experience in AWS; 
• Experience with Azure AD (authentication understanding); 
• Experience with terraform; 
• Experience with ML workflows (will be a plus) 
• Experience with maintaining and/or developing AI agents (will be a plus) 
• Eager to take responsibility, accountability and ownership of systems and processes; 
• Experience using Atlassian products: Jira, Confluence 
• Experience using Service Management(OpsGenie) or PagerDuty 
• 3+ years of industry experience; 
• Expert in using REST and SOAP API’s; 
• Knowledgeable of securing data; understands PGP, SSH, OAuth, SFTP, HTTPS, SFTP; 
• Basic FinOps experience(will be a plus) 
• Knowledgeable of OWASP Top 10 

Technologies that we use 

• AWS Cloud  
• ECS, EKS, Kubernetes, Prometheus, Grafana, Kubeflow, ArgoCD, Kyverno 
• GitLab 
• Terraform 
• Kustomize/Helm 
   

We offer 

• The opportunity to work on a big and scalable MLOps Platform. 
• Very skilled teammates and positive atmosphere  
• We are not tied to the office, willing to work remotely. 
• Health insurance. 
• Compensation of sports clubs and foreign language schools. 
• Internal training (IT and not only); 

We’re building serious software, fast. If you love clean code, modern tools, and working with a high-performance team—read on.

About Consultport

Consultport is the platform that connects top companies with world-class consultants and digital experts. Backed by ex-BCGs founders, we’re scaling fast and building the tech that powers it all.

What you’ll do

• Ship high-quality features with speed and precision
• Work across a lean, modern stack (Rails 8+, Hotwire, Stimulus, Turbo, TailwindCSS)
• Scale with PostgreSQL, Redis, Elasticsearch, and deploy on Heroku
• Push continuous delivery in a Kanban-driven, result-oriented environment
• Collaborate remotely, meet in person a few times a year, and enjoy our Berlin HQ

What we’re looking for

• 7+ years of engineering experience
• Ruby expert, always curious about the latest versions
• Obsessed with building robust, high quality systems
• Great communicator in English (no Shakespeare required)
• Pragmatic: you care about results, not ceremonies

Why you’ll like it here

• Remote-first, with a killer Berlin office when you want it
• Work with a sharp, motivated team that gets things done
• Real impact: every line of code moves the product forward
• Competitive compensation

ABOUT JUPERRA

Juperra is a US healthcare marketplace connecting licensed caregivers — RNs, LPNs, CNAs — with families for in-home care.

We are a mobile-first, dual-sided platform with native Flutter apps (iOS + Android) for both caregivers and clients, featuring real-time booking, AI-powered matching, Socket.IO chat, Stripe payments, clinical documentation, and a full credentialing and background check pipeline.

We are a Delaware C-Corporation with a live production codebase and active integrations with Stripe, Twilio, Checkr, Persona, Nursys, Verisys, Sentry, and Thimble. The platform is already in active development with a working system and ongoing improvements.

Soft launch Q2 2026. Scaling through Q3 and beyond.

We are not looking for a contractor. We are looking for a builder.

THE OPPORTUNITY

This is a ground-floor role at a company solving a real problem in a $300B+ home care industry.

You will work directly with the Founder & CEO, own the full technical stack, and grow with the platform from launch through scale. The right person will not just write code — they will shape the product, influence architecture decisions, and become a core part of what Juperra becomes.

If you are talented, hungry, and looking to do the best work of your career on something that matters — this is it.

TECH STACK

Backend: Node.js / Express, PostgreSQL, MongoDB, Redis, Socket.IO, Firebase Auth + FCM

Mobile: Flutter / Dart — two apps (Caregiver app + Client/Connect app)

Cloud: AWS

Integrations: Stripe Connect, Twilio, Checkr, Persona, Nursys, Verisys, Sentry, Thimble

Admin Panel: Next.js / React

RESPONSIBILITIES

Own and extend the Node.js backend — REST APIs, real-time features, payment flows, credentialing and verification integrations

Build and improve Flutter features across both mobile apps

Integrate new third-party APIs as the platform grows

Maintain security best practices, write documentation, ensure code quality

Work directly with the CEO — fast decisions, no bureaucracy, real ownership

REQUIREMENTS

4+ years of full stack development experience

Strong Node.js / Express — REST API design, PostgreSQL, authentication flows

Flutter / Dart — production mobile apps on iOS + Android

Experience integrating third-party APIs (payments, verification, messaging)

Strong written English — clear async communication is essential

Available for at least 4 hours of US Eastern timezone overlap daily

NICE TO HAVE

Healthcare, HIPAA, or marketplace platform experience

Stripe Connect / payment escrow

Socket.IO real-time features

Gig economy or two-sided marketplace background

AWS deployment and DevOps experience

COMPENSATION

Compensation will be discussed based on experience and timing of engagement.

We are open to different structures (monthly, milestone-based, or long-term role) depending on the stage and the right candidate.

This is a long-term opportunity with strong growth potential as the platform scales.

WHAT WE OFFER

Ground-floor access to a platform being built to scale nationally

Direct collaboration with the Founder & CEO

High ownership and real impact on product and architecture

Long-term role — we are building a team, not hiring for a short project

The opportunity to build something people will truly depend on

HOW TO APPLY

Send your profile, GitHub, or portfolio links.

In a few sentences, tell us about your experience with Node.js and Flutter, and why this opportunity interests you.

We will conduct a technical interview followed by a paid test task before making an offer.

Project Description:

Project is a web application running and visualizing scientific experiments and mathematical models. It focuses on allowing users to visualize different graphical plots - hence Plotly is in the center of work.

Responsibilities:

The purpose of this role is to design, build, and maintain robust, scalable, and production ready software. As a senior full stack developer, the role leads the development of backend services in Python and frontend interfaces in React according to UI/UX specifications, ensuring high reliability, strong engineering standards, and a seamless user experience. It also delivers high quality components across the stack, efficient CI/CD pipelines, resilient production deployments, and contributes to architectural decisions, continuous performance improvements, maintainability, usability, and clear technical documentation that strengthens overall platform robustness and team productivity.

Mandatory Skills Description:

• The person must work with minimum supervision, probably with at least 5 years of experience.
• Strong backend engineering in Python (API development, services, data workflows)
• Frontend development expertise in React (components, state management, UI integration)
• Solid experience with CI/CD pipelines
• Solid experience in Linux command line
• Proven track record operating and supporting production systems
• Familiarity with AI augmented solutions, including RAG pipelines or multi agent architectures.
• Strong testing practices and software engineering fundamentals
• Ability to collaborate on architecture, code reviews, and cross functional technical decisions

Nice-to-Have Skills Description:

• Knowledge of OpenShift
• Experience with AI tools (Lang chain, Lang graph, vector-databases, etc. )
• Experience with document search applications

Languages:

English: B2 Upper Intermediate

Head of Business/System Analysis

Company Introduction

First Digital Finance Corporation is a Fintech company based in Manila, Philippines. Our mission is to drive financial innovation in the Philippines by leveraging AI and digital processes to provide Filipino consumers with easier and more affordable access to credit and banking services. We operate across a suite of products — including consumer credit (Billease), digital banking (savings accounts, transfers, QR payments), and a growing microservice platform — serving millions of users at scale.

Our founders are a team of experienced professionals with both local and international backgrounds in banking, consulting, and technology.

Role Overview

We are looking for a seasoned Head of Business/System Analysis to lead and scale our BA/SA function within the Engineering organization. This is a senior leadership role with direct ownership over a team of approximately 10 Business/System Analysts embedded across multiple product domains.

You will serve as the critical bridge between business stakeholders, product owners, and engineering teams — ensuring that complex business needs are translated into clear, actionable, and well-structured system specifications. You will also be responsible for elevating the overall quality, consistency, and depth of analysis practice across the organization.

This role is ideal for someone who has grown from hands-on BA/SA work into a leadership position and is passionate about building a high-performing, process-driven team in a fast-moving fintech environment.

Responsibilities

Team Leadership & Management

- Lead, mentor, and grow a team of ~10 Business/System Analysts across multiple product squads.

- Define the team structure, roles, and career progression paths for individual contributors.

- Conduct regular 1:1s, performance reviews, and develop individual growth plans.

- Hire, onboard, and retain top BA/SA talent aligned with the company's growth trajectory.

- Build a collaborative, accountable, and knowledge-sharing team culture.

Analysis Practice & Standards

- Define and enforce standards, templates, and best practices for business analysis, system design, and documentation (requirements specs, PRDs, BRDs, API contracts, BPMN flows, data models).

- Drive consistency and quality across all analytical outputs — from user stories to technical solution designs.

- Establish and maintain a documentation culture that keeps knowledge accessible and up to date across the 50+ microservice landscape.

- Champion the use of modern BA tools and frameworks (Figma, BPMN, OpenAPI/Swagger, Confluence-style wikis, ClickUp).

Stakeholder Alignment

- Act as the primary point of contact for C-level and senior stakeholders seeking clarity on system capabilities and business requirements.

- Facilitate discovery sessions, requirement workshops, and design reviews with business, product, and engineering teams.

- Translate ambiguous business goals into structured, testable, and implementable system specifications.

- Proactively manage stakeholder expectations around scope, dependencies, and delivery timelines.

Cross-Functional Delivery

- Oversee the BA/SA contribution across the full product development lifecycle — from discovery through delivery and post-release evaluation.

- Partner closely with Engineering Managers, Product Owners, and QA leads to ensure requirement clarity and reduce rework.

- Review and sign off on functional and non-functional requirements for high-impact or complex initiatives.

- Identify systemic gaps, integration risks, and ambiguity early in the delivery pipeline.

Process Improvement & Governance

- Continuously assess and improve how requirements are gathered, tracked, communicated, and validated.

- Establish quality gates and review checkpoints within the delivery workflow.

- Drive retrospective processes within the BA team to continuously improve throughput and impact.

- Monitor team delivery metrics and produce reporting for engineering leadership.

Requirements

Experience

- 5+ years of experience in Business Analysis, System Analysis, or a closely related discipline.

- 3+ years in a leadership or management role overseeing a team of analysts or cross-functional contributors.

- Proven experience working in a product-driven, high-scale technology environment — preferably fintech, banking, or financial services.

- Track record of managing multiple concurrent initiatives across complex domain landscapes.

Business Analysis Skills

- Expert-level proficiency in requirements elicitation, stakeholder management, and documentation.

- Deep experience producing business requirements documents (BRDs), product requirements documents (PRDs), functional specifications, and test scenarios.

- Solid understanding of software development lifecycle (SDLC) methodologies — Agile, Scrum, Kanban.

- Strong facilitation skills: workshops, discovery sessions, design reviews.

Technical Depth

- Comfortable reading and producing API specifications (REST, OpenAPI/Swagger).

- Working knowledge of BPMN for business process modeling.

- Understanding of microservice architecture and distributed systems design.

- Proficiency in SQL for data analysis and validation.

- Ability to engage meaningfully in technical discussions with engineering teams (data modeling, integration flows, event-driven systems).

- Familiarity with feature flags, rollout strategies, and system fallback design

Leadership & Soft Skills

- Strong people manager with demonstrated ability to coach, give feedback, and develop talent.

- Excellent written and verbal communication skills — able to produce clear documentation and present to senior stakeholders.

- High attention to detail without losing sight of the bigger picture.

- Resilient, pragmatic, and comfortable operating in ambiguity.

- Data-driven mindset — uses metrics to track team performance and delivery health.

Nice-to-Have Skills

- Experience in digital banking or lending products.

- Familiarity with core banking platforms.

- Knowledge of KYC/AML compliance requirements and regulatory frameworks.

- Experience with event-driven architectures and message queuing systems (Kafka, RabbitMQ).

- Background in data analytics, BI tooling, or working with data teams.

- Exposure to AI-assisted analysis workflows or prompt-based tooling for documentation generation.

- Experience working with remote or distributed teams across time zones.

Tech Stack (Inferred)

Based on our product and engineering context, the Head of BA/SA will work across the following technology landscape:

| Category | Technologies 

| Backend | Python (Django, FastAPI, Flask), REST APIs, OpenAPI/Swagger |

| Databases | PostgreSQL, data modeling, SQL |

| Mobile | Android (Kotlin/Jetpack Compose), iOS |

| Frontend | Web (React/Angular-based), Figma (UI/UX design) |

| Architecture | Microservices (~50 services), event-driven (RabbitMQ, Kafka) |

| Infrastructure | AWS, Docker, Kubernetes, CI/CD |

| Core Banking | Mifos, savings account services, credit systems |

| Payments | QRPH, PESONet, e-wallets, Xendit |

| Process Tools | BPMN, ClickUp, Figma, GitLab |

| Documentation | OpenAPI (Swagger), Markdown, PRD/BRD templates |

Success Metrics / KPIs

The Head of BA/SA will be evaluated against the following indicators of success:

Team Performance

- Team utilization and capacity alignment across product squads.

- Analyst retention rate and career progression velocity.

- Time-to-onboard new analysts to full productivity.

Delivery Quality

- Reduction in requirement-related rework and scope churn during sprints.

- Defect rate attributable to incomplete or ambiguous requirements (tracked in QA).

- On-time delivery rate for BA-owned deliverables (specs, solution docs, test cases).

Documentation & Standards

- Coverage and freshness of system documentation across active services.

- Adoption rate of standardized templates and documentation practices across the team.

- Stakeholder satisfaction with BA outputs (measured via periodic surveys).

Business Impact

- Stakeholder satisfaction score (business and engineering counterparts).

- Analyst contribution to successful discovery-to-delivery cycles for key initiatives.

- Identification and escalation of high-risk ambiguities before development begins.

Please note: we are only considering candidates with experience in MedTech / Healthcare domain.  

Projects in various Healthcare subdomains, implemented using the HL7 FHIR standard for international clients from regions including the Middle East, Asia, the US, and Europe.

Responsibilities:

• Creation of the technical design and technical specifications for business solutions
• Business decisions analysis
• Change management support
• Development support
• Testing activities

Background:

• 3+ years of experience system analysis, product ownership 

Required skills:

• Clear understanding of principles and specifics of software development methodologies Strong understanding of Agile/Scrum
• Knowledge of data modeling and data flows modeling, data mapping
• Knowledge of basic principles of SQL & relational databases, NoSQL databases
• Extensive knowledge of business analysis activities and techniques (UML, BPMN)
• Knowledge of requirements management tools (at least JIRA & Confluence)
• Good experience in working with REST APIs, JSON, XML, Postman
• Systems thinking and functional decomposition skills
• Excellent knowledge of bug life cycle
• Experience in Test Design, Test Case creation and maintenance
• Experience in testing complex software applications

Big advantage:

• Experience with healthcare systems and healthcare standards like HL7 FHIR, HL7 v3, SNOMED

Nice to haves:

• Understanding of programming languages
• Experience of using version control systems (e.g. GIT)
• Experience of using test automation or BDD (Cucumber, Behave)

We offer:

• Competitive compensation
• Full equipment for remote work
• Full remote setup, with the option to work from our Kyiv office (Business Center Europe Plaza, near the metro)
• Corporate English classes via Zoom (fully covered by the company)
• Paid time off, vacation, and 100% paid sick days
• Additional New Year holidays
• Opportunities to impact the direction of projects and product growth
• Interesting and large-scale projects
• Dynamic, professional team
• Supportive and responsive management

About Edenlab

Edenlab is a custom software development company with deep expertise in fintech and healthcare. We work on large-scale, meaningful projects for international clients — from MedTech platforms and e-Government services to core fintech solutions.

We cover the full product development lifecycle: from business and system analysis to architecture, development, testing, and post-release support.

Our team is our greatest value. We’re a group of smart and driven people who care about building products that make a real impact. We combine startup agility with enterprise-level quality.

We value ownership, transparency, and curiosity — and we’re looking for people who share the same mindset.

If this role sounds like a good fit for you, we’d love to hear from you! Please send your CV along with your salary expectations!

edenlab.com.ua

We are looking for a Payments Operations Lead who will take end-to-end ownership of our payments domain, including PSP integrations prioritizations, operational performance, and alignment with product and development teams.

This role sits at the intersection of operations, product, and business, and is responsible for bringing structure, visibility, and scalability to our payments ecosystem.

Requirements

• Strong experience in payments / PSP integrations (preferably iGaming, fintech, or high-load transactional environments)
• Ability to operate across operations, product, and business domains
• Strong ownership mindset with a hands-on approach
• Experience working with metrics, dashboards, and performance optimization
• Ability to structure complex processes and bring clarity to chaotic environments

Responsibilities

• Act as a primary point of contact for all payment providers (PSPs), managing day-to-day communication and operational issues
• Own and resolve ongoing payment-related challenges, including incidents, delays, and performance gaps
• Monitor and improve key payment metrics (success rate, approval rate, processing time)
• Initiate and drive investigations into payment-related issues and ensure timely resolution
• Evaluate readiness of payment solutions for new markets
• Lead the launch and management of new PSP integrations and payment methods
• Translate business and operational needs into clear requirements for the development team
• Contribute to roadmap planning in alignment with product and business priorities
• Prepare and maintain internal documentation, manuals, and runbooks
• Coordinate cross-functionally with Product, Tech and Finance teams
• Potentially manage an operational specialist and oversee daily execution

We are looking for a Product Manager to create and develop a comprehensive loyalty and retention ecosystem that maximizes trader Lifetime Value (LTV), reduces churn, and turns active users into brand advocates.

Responsibilities

• Shape and execute the product vision and roadmap for the Loyalty & Retention domain
• Design the logic for bonuses, rebate systems (spread/commission cashback), and VIP programs
• Manage the product backlog, write clear Product Requirements Documents (PRDs), set tasks for the development team, and oversee execution
• Conduct regular CustDev interviews with traders to uncover their true motivators and barriers
• Collaborate with the Data Science team to build churn prediction models and personalize promotional offers
• Analyze the performance of launched features and iteratively improve the product

Requirements

• Proven experience as a Product Manager (preferably in high-frequency products)
• Strong understanding of key metrics: Retention, LTV, Churn, DAU/MAU, ROI
• Proven track record of developing and launching loyalty programs, bonus engines, and referral systems
• Strong proficiency in product analytics tools  and a data-driven approach to decision-making
• Experience in conducting A/B tests and customer development (quantitative and qualitative research)
• Understanding of user behavior & psychology (ideally, the psychology of a trader or gamer)
• Customer Empathy: Ability to understand traders' pain points and drivers (fear of loss, excitement, need for recognition)
• Strategic Thinking: Ability to foresee how a bonus system will impact the business in the long term, not just in the immediate future
• Excellent communication skills: Strong skills in driving cross-functional teams (Engineering, Marketing, Analytics, Support)
• Proactivity: Readiness to independently identify growth opportunities within the retention funnel and pitch solutions

Will be a plus

• Direct experience working in CFD/Forex brokers or Crypto exchanges
• Personal experience in trading or investing 
• Understanding of CRM marketing principles (push notifications, automated email sequences) to sync product features with marketing communications

We offer

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We’re looking for a Senior Product Designer to join our team and help create outstanding digital experiences for a global product.
 

🔹 You’re a great fit if you...

• Have strong experience designing mobile and web applications
• Use Figma or Sketch as your primary UI design tools
• Are confident in advanced prototyping (Principle, After Effects, ProtoPie, Smart Animate, or similar)
• Can clearly articulate your design decisions, including challenges and how you approached them
• Have a strong product mindset and experience collaborating with cross-functional teams
• Are fluent in English (C1–C2)
   

🔹 Nice to have

• Basic understanding of HTML, CSS, and JavaScript
• Experience with Atomic Design methodology (atoms, molecules, components)
• Background in graphic design or brand identity
• Familiarity with 3D design tools
   

🔹 What we offer

• 💸 Competitive compensation based on your experience and skills
• 👭 A friendly and supportive team of like-minded professionals
• 🤒 Paid sick leave
• 🌴 21 working days of paid vacation + Polish national holidays
• 🎉 Corporate events and team activities
• 🩺 Private medical care (for residents in Poland)

• 🧩 Opportunities for continuous learning and development

   

🔹 Why join us

• Work on a high-impact, global product
• Enjoy a no-micromanagement culture built on trust and ownership
• Be part of a collaborative team that supports each other
• Grow in a creative and design-driven environment at Fireart
   

🔹 Recruitment process

1️⃣ Interview with a Recruitment Specialist
2️⃣ Interview with the Head of Design
3️⃣ Interview with the Team Lead
4️⃣ Interview with the Client
 

⚡ Important: This is an urgent position, so we’re looking for someone who can start immediately.

Client is a top one in automotive sphere. He has a bunch of projects which are related with tools for testing/emulation of IVI part. Part team is in Detroit and part in Ukraine remote. Projects have parts starting from HW boards and completing with SW part.

• Responsibilities:

  Testing Balance: 70% Automation / 30% Manual testing split.
  Embedded automation: actively contribute and evolve existing automation framework (Python).
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.
  Test Planning: Define the automation strategy for new features, ensuring high coverage for complex automotive use cases.
  Reporting & Analytics: Build reports to visualize test results, hardware stability metrics.

• Mandatory Skills Description:

  Automotive experience
  Understanding of CAN
  Python: Advanced proficiency to evolve and maintain an existing automation framework.
  Protocols: Hands-on experience with CAN, gRPC, and TCP.
  Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
  OS: Linux knowledge and CLI proficiency.
  CICD: Experience with GitHub Action.

Intetics Inc., a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for Site Reliability Engineer to work with one of our projects.

We are building the infrastructure layer for modern AI inference: a globally distributed platform designed to deliver scalable, cost-efficient, and reliable access to GPU compute.

Our platform includes globally distributed control planes running on AWS, a large distributed fleet of GPU inference nodes across multiple GPU providers, and the networking systems that connect everything into a reliable, high-performance production platform. We use Kubernetes to orchestrate inference workloads and an open-source observability stack built around Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry.

The control plane is relatively simple and primarily runs on EKS, with MySQL on AWS and a small set of supporting services. The more complex part of the platform is the GPU side: hosts are spread across providers and are often operated more like distributed on-prem infrastructure than traditional cloud services.

Role

We’re hiring an SRE / DevOps / Infrastructure Engineer to help scale and operate the core infrastructure behind our growing inference platform. This is a hands-on role for someone who wants to work on hard infrastructure problems across networking, Kubernetes, reliability, observability, and production operations. You’ll join a small, high-impact infrastructure team that is currently two engineers, with plans to grow to 4–5 by the end of the year.

What you’ll do

·      Build, operate, and improve the infrastructure powering the distributed inference platform

·      Own reliability, scalability, and operational excellence across AWS-based control planes and our multi-provider GPU fleet

·      Design and maintain the networking layer connecting control planes, Kubernetes clusters, and geographically distributed GPU hosts

·      Operate and improve Kubernetes-based inference orchestration, primarily on EKS

·      Manage deployments and infrastructure changes using Helm, FluxCD, and Terraform

·      Improve observability across the platform using metrics, logs, traces, dashboards, and alerting built on Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry

·      Tune alerts, improve runbooks, and strengthen operational readiness as the system scales

·      Respond to production issues, perform root cause analysis, and implement durable fixes

·      Work closely with engineers across time zones using clear asynchronous communication and handoff practices, especially through Slack

·      Help expand Europe-based infrastructure coverage to support sustainable operations outside US business hours.
 

Requirements

·      5+ years of experience in SRE, DevOps, platform engineering, or infrastructure engineering

·      Strong production experience with networking and Kubernetes

·      Experience operating AWS infrastructure in production, especially EKS

·      Strong hands-on experience managing Linux hosts, clusters, and distributed systems in environments that are not fully abstracted by a major cloud provider

·      Experience with Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry

·      Experience with deployment and GitOps workflows using tools such as Helm and FluxCD

·      Experience with infrastructure as code, ideally Terraform

·      Familiarity with alert tuning, runbook development, and practical incident management in production systems

·      Strong operational judgment: able to troubleshoot independently, respond calmly to incidents, and improve systems without constant direction

·      Comfortable working in a fast-moving startup where infrastructure, product, and customer demands are changing quickly

·      Clear communicator who can work effectively in an async environment and handle shift handoffs cleanly

Nice to have

·      Experience with AI inference, ML infrastructure, or adjacent high-performance distributed systems

·      Experience operating heterogeneous GPU fleets, bare-metal infrastructure, or multi-provider compute environments

·      Experience using AI tools productively in engineering workflows