Jobs

We are looking for a Marketing Designer to join a project in the real estate technology industry.

The product is an AI-powered platform for real estate professionals that helps them manage their daily work, property data, client communication, and discover property development potential.

We are looking for a performance-driven designer who can not only create high-quality marketing assets, but also build scalable creative systems for Meta campaigns, test and optimize creative variations, and use performance data to drive measurable growth.

The role will also involve working with Framer to create and maintain landing pages and website content.

Requirements

- 5–7+ years of professional design experience;

- Strong experience as a Marketing Designer, Performance Designer, Creative Designer, or similar;

- Strong experience with performance marketing and paid social;

- Hands-on experience creating and optimizing Meta (Facebook/Instagram) ads;

- Experience building scalable design/creative systems for Meta advertising, including reusable templates, creative variations, and structured testing;

- Ability to use campaign performance data to iterate on creatives and improve measurable results;

- Understanding of performance metrics such as CTR, CPA/CAC, ROAS, conversion rate, or similar;

- Strong experience creating both static and video/social media creatives;

- Experience with creative testing, A/B testing, and high-volume creative iteration;

- Hands-on experience with Framer, including building and/or maintaining landing pages and website content;

- Strong visual design skills and ability to create engaging, conversion-focused marketing assets;

- Comfortable collaborating directly with the client and discussing creative performance and business goals;

- English level: B2+ or higher;

- Availability to work and communicate with clients in EST/PST time zones.

Nice to have

- Experience designing landing pages focused on conversion;

- Experience working closely with growth, user acquisition, or paid media teams;

- Experience with creative strategy;

- Experience using AI tools to improve or scale creative production;

- Previous experience in PropTech, SaaS, or technology products.

Working terms

- 12 vacation days per year;

- 5 sick days per year;

- 3 paid company holidays per year;

- Access to therapist and psychologist support for mental well-being;

- Compensation for courses and conferences;

- English courses.

CURRENT ROLE ONLY FOR EUROPE_BASED CANDIDATES! 

We're looking for a Senior Windows Kiosk Imaging Engineer to take an existing Windows 11 IoT Enterprise kiosk image from lab prototype to release master. The devices run a Unity application in Shell Launcher kiosk mode; you won't touch the application itself, but you'll own everything around it — provisioning, lockdown, account structure, driver integration, and the capture/restore pipeline that gets the image onto real hardware. A master image already exists and boots, but seven open items currently block deployment, and full documentation for the existing scripts, handbook, and procedures will be handed over at the start. The first phase is release-master work and is the busiest period; once deployment is stable, the engagement shifts into lighter, ongoing image support and maintenance. You'll work directly with the project's technical lead and build on a documented script tree and handbook left by the previous engineer, rather than starting from a blank page. This is senior, hands-on Windows systems and imaging work — not application development — for someone who can be productive configuring the environment from day one.

Details:
Schedule: Full time
Location: Remote in Europe
Start: ASAP
Duration: Long-term
English: Fluent
Type of collaboration: B2B Contract

About the project:
The project involves a fleet of Windows 11 IoT Enterprise kiosk devices running a Unity application locked down via Shell Launcher kiosk mode. A master image already exists on a lab USB stick — it boots and runs, but it isn't yet a release master, and seven documented items remain open before it can be deployed at scale. The work spans PowerShell provisioning, account and autologon rework, sysprep and answer-file configuration, driver integration across two hardware board revisions, boot-chain and firmware considerations (UEFI, Secure Boot, custom boot logo), and disciplined handling of Windows Update. Image capture and restore currently run through Clonezilla, with Rescuezilla used for field backups; documentation covering capture, packaging, and restore already exists and will be shared. Two known security items — a plaintext administrator password in a shipped config file, and a shared API key/TOTP secret embedded in the application — are also in scope, though not blocking deployment. You'll validate all work first against a reference machine and then on real kiosk hardware.

You have:
- Senior, hands-on experience with Windows systems and imaging — deep enough to configure kiosk mode, build ISO images, and troubleshoot at a low level
- Proven, practical experience configuring Windows kiosk mode (Shell Launcher), including keyboard filtering and locking down what the running account can do
- Strong PowerShell scripting experience: local accounts, registry policy, ACLs, services, scheduled tasks, and RunOnce entries
- Experience with master image workflows — sysprep and unattend.xml, disk shrink/extend, and image capture/restore (Clonezilla, Rescuezilla, or equivalent)
- Experience integrating drivers for specific target hardware, ideally across multiple board revisions
- Familiarity with boot chain and firmware topics: UEFI, Secure Boot, custom boot logos
- Comfort managing Windows Update behavior consistently across a reference machine, a captured image, and deployed devices
- Ability to describe past relevant projects and experience in detail — general familiarity or willingness to learn is not a substitute for proven, hands-on experience
- Ability to join and start configuring the environment almost immediately, without an extended ramp-up period

What to do:
- Replace the image's current provisioning scripts wholesale with the up-to-date pipeline, and remove leftover scheduled tasks from the previous design
- Rework the local account structure down to exactly two accounts: a passwordless standard kiosk user and a password-protected local administrator, retiring legacy support accounts and demoting the kiosk account out of Administrators (retesting Bluetooth after the change)
- Rework the autologon handoff so the first boot signs in as administrator for elevated provisioning, then hands off cleanly to the kiosk account for every boot after (removing the plaintext credential in the process)
- Write the unattend.xml answer file and run the sysprep generalize pass as part of image capture
- Move first-boot provisioning from an unreliable SYSTEM scheduled task to a RunOnce entry tied to the first-boot administrator logon
- Integrate drivers for both target hardware board revisions, replacing the current VM-only driver set
- Establish consistent Windows Update handling across the reference machine, image capture, and deployed devices
- Address the two documented security gaps: the plaintext administrator password in the shipped config, and the shared API key/TOTP secret in the application's install.xml
- Validate all changes on a reference machine first, then confirm on real kiosk hardware across both board revisions

About the Role

We’re seeking a  Business Analyst/Product Manager to ensure flawless delivery of features to our customers. You’ll work hands-on with development teams to execute the product roadmap defined by our CPO, maintain high quality standards, track team performance metrics, and ensure releases happen on schedule without delays.

This is an execution-focused role. You’ll translate business requirements into technical specifications, manage the delivery process, minimize bugs and incidents, and ensure our customers receive high-quality features on time.

Role Type: Business Analyst (Execution & Delivery focused)

Time Allocation:

Feature Delivery (50% of your time) 

• Manage product backlog for development teams, ensuring 2+ sprints are always groomed 
• Write detailed user stories with clear acceptance criteria and edge cases 
• Conduct bi-weekly sprint planning and weekly backlog refinement sessions 
• Ensure 95%+ of releases ship on scheduled dates - no delays, no excuses 

• Remove blockers proactively to keep teams on track 

   

Technical Documentation (20%) 

• Prepare Business Requirements Documents (BRD) outlining business objectives and scope 
• Write comprehensive Product Requirements Documents (PRD) including:  
• Functional specifications and user flows 
• API specs, data models, integration requirements 
• Technical constraints and performance considerations 
• Acceptance criteria and test scenarios 

• Maintain clear documentation in Confluence for engineering and stakeholders 

   

Quality & Incident Management (15%) 

• Drive bug reduction initiatives - target <3% bug escape rate 
• Manage P0/P1 incidents: triage within 30 minutes, resolve within 4 hours 
• Document post-mortems with root cause analysis and preventive actions 
• Track quality metrics: bug rates, regression issues, technical debt 

• Collaborate with QA on test coverage and automation priorities 

   

Metrics & Reporting (15%) 

• Track team performance: velocity, cycle time, lead time, commitment accuracy 
• Build dashboards in Jira showing real-time delivery health 
• Present quarterly metrics to CPO showing delivery trends and quality improvements 
• Coordinate with stakeholders: Customer Success (weekly), Sales (bi-weekly), Support (weekly) 

Report To: Chief Product Officer (CPO)
Location: Remote (Europe/US time zones preferred for team overlap)

Must-Have Qualifications

• Experience 3-5+ years as Business Analyst  or Product Manager in B2B SaaS, cloud software, or CRM solutions
• Proven track record of on-time delivery: Be ready to share specific metrics (e.g., “Achieved 95% on-time release rate over 12 months”)
• BRD/PRD writing experience: At least 2 years writing technical specifications for engineering teams
• Agile/Scrum mastery: 3+ years managing backlogs, writing user stories, leading sprint ceremonies
• Quality focus: Experience reducing bug rates and managing incident response

• Technical proficiency: Understanding of APIs, cloud platforms, CRM integrations, data models

   

Skills

• Execution Excellence: Ability to drive features to completion on schedule, removing blockers proactively
• Technical Documentation: Strong writing skills for BRD/PRD with clarity and detail
• Analytical: Can track and present team performance metrics (velocity, cycle time, bug rates)
• Quality Mindset: Obsessed with reducing bugs, improving processes, preventing incidents
• Communication: Fluent English (C1/C2), able to explain requirements to technical and non-technical audiences
• Prioritization: Can make quick trade-off decisions to keep releases on track

• Incident Management: Experience triaging and coordinating response to production issues

   

Tools Proficiency

• Jira/Linear: Advanced backlog management, sprint planning, reporting
• Confluence: Documentation, BRD/PRD templates, knowledge management
• Analytics: Mixpanel, Amplitude, Google Analytics for feature tracking

• Design: Figma collaboration for UI/UX specifications

   

   

Mindset

• Delivery-focused: Obsessed with hitting release dates and shipping quality features
• Detail-oriented: Catches edge cases, writes comprehensive acceptance criteria
• Proactive problem-solver: Removes blockers before they impact timelines
• Quality-driven: Won’t ship until it’s right, balances speed with quality
• Team player: Supports engineering, collaborates with cross-functional teams
• Customer-centric: Understands impact of delays and bugs on customer experience

🌟 Nice-to-Have (Bonus Qualifications)

Experience

• 3-5+ years product ownership experience (for Senior-level consideration)
• Previous experience in CRM industry (Salesforce, HubSpot, Pipedrive ecosystem)
• Background as Business Analyst, Solutions Engineer, or QA Lead (strong documentation skills)
• Experience with DevOps practices (CI/CD, release automation, monitoring)
• Incident management training (ITIL, SRE practices)

• Experience managing API products or developer-facing features

   

Skills & Knowledge

• SQL proficiency: Can write queries to analyze feature usage and performance
• Scripting/automation: Python, JavaScript for data analysis or tooling
• Advanced Jira: Custom workflows, automation rules, dashboard creation
• API documentation: Swagger/OpenAPI specification writing

• Performance testing: Understanding of load testing and scalability considerations

   

Why Join Proxima CRM?

Execution Impact: Your work directly affects customers. Every feature you deliver improves their workflow and business outcomes.

Quality Culture: We value doing it right over doing it fast (but we do both). You’ll have support to maintain high standards.

Modern Processes: We use best practices in Agile, documentation, and incident management. You’ll work with experienced teams.

Growth: Early product ownership hires have opportunities to take on more scope, mentor others, and grow into leadership roles.

Flexibility: True remote-first. Work from anywhere with flexible hours and async-first culture.

Proxima CRM is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

This position is open only to candidates currently based in Canada, who have valid authorization to work in Canada. Candidates based in Toronto are highly preferred.

About the Role

We are hiring a Senior Product Manager to own the front half of the delivery process: to make sure work starts with a business goal and a validated problem, not with a design, and that by the time something reaches engineering it is shaped, sequenced, and feasible.

Project

FinTech product built for the restaurant and hospitality space. We integrate with POS and scheduling systems and sit on top of the money flows those systems generate.

We grew fast in startup mode, and it worked as we have a live product, real customers, and real revenue. What we don't yet have is a delivery process that matches the size of what we're building. 

Required Hard Skills

• 5+ years in product management, including at least one product with real technical complexity behind it.
• Prior FinTech experience (payments, payouts, reconciliation, lending, banking, or embedded finance), or direct restaurant/hospitality tech experience (POS, scheduling, workforce management, delivery platforms).
• Demonstrable experience introducing or substantially reshaping a delivery process in a company that had outgrown ad-hoc ways of working. We will ask you to walk us through exactly what you changed, what resistance you hit, and what it measurably improved.
• Strong requirements practice: you can write and review PRDs, user stories, acceptance criteria, and flow documentation, and you know when to hand that off versus do it yourself.
• Experience working with third-party APIs or platform integrations, including the messy parts: partner limitations, versioning, data reconciliation, error handling, validation layer.
• Strong BA skills to act as an owner of the product requirements, including describing and maintaining the product backlog
• Strong product toolkit. We value strong processes over proficiency with any specific tool, but expect broad hands-on experience across modern product and AI tools, with the ability to select and adapt the right toolkit for the job. 

• Fluent English, written and spoken.

   

Required Soft Skills

• Comfort working alongside engineers on architecture and technical debt conversations with enough depth to understand the trade-offs, ask sharp questions, and be trusted in the room.

• Ability to hold a position with a founder-CEO. You'll be asked to change how initiatives currently start, which means disagreeing productively and often.

   

Nice to Have

• Hands-on familiarity with specific POS or scheduling platforms (Toast, Square, Lightspeed, 7shifts, Deputy, or similar).
• Experience with a product that had to earn back reliability and trust after a fast-growth phase.
• Track record building product analytics from a low baseline with instrumentation, funnels, defining the metrics that matter.
• Comfort with BPMN or similar process modeling.
• Multi-tenant SaaS or B2B2C experience.

Key Responsibilities

1. Shape the delivery process end-to-end: 

- Introduce and implement a discovery-to-delivery flow

- Establish where design, engineering, and BA input enter the process, and make technical feasibility a first-class input.

- Define the artifacts and quality bar for each stage of the delivery process.

2. Get the backlog shaped: 

- Break large ambiguous initiatives into slices that can be estimated, built, and released independently.

- Own the roadmap and its sequencing, and keep it honest about capacity and dependencies.

3. Balance new value against the debt

- Build a shared, evidence-based view of where technical debt is costing us delivery speed, reliability, or the ability to ship what's next.

4. Own the integration and domain surface

- Own the product side of our POS and scheduling integrations

- Translate FinTech constraints such as payments, reconciliation, settlement, data handling, compliance into requirements engineering can build against.

- Bring the operational reality of restaurants into product decisions: shift patterns, staff turnover, tips and payouts, peak-hour behavior, tax background, low tolerance for anything that slows down service.

Who this position is not for
This is a build-the-process role, not a run-the-process role. If you need an established framework to operate inside, this will frustrate you. If you've stabilized delivery in a company that outgrew its early habits, you'll recognize the work immediately.

Things you should know before applying:

• The process is genuinely not there yet. You are building it, largely alone, while shipping.
• There is real technical debt. Some of what you want to do will be slower than it should be, and part of your job is making that visible and getting it funded.
• Initiatives currently start closer to solution than problem, and changing that means changing habits at the top of the company. We know this and we're hiring for it - but it will take persistence.

Recruitment Process

• Introductory Call (45 min).
• HR Interview (1 hr).
• Technical Interview (1 hr).

• Founder/Client meeting.

   

We are looking for people who are motivated to learn, take ownership, and grow together with us.

Sound like the right fit? Apply now - let's talk!

We are looking for a NetSuite Technical Engineer to join our team in a growing HVAC and field service business and help maintain and improve our NetSuite environment.

This role is focused on solving complex technical issues, debugging existing customizations, improving scripts and workflows, and implementing reliable solutions inside a production NetSuite environment.

You should be able to investigate problems independently, explain root causes clearly, and communicate technical solutions in English.

Advanced spoken English is mandatory.

Responsibilities:

• Investigate and fix complex NetSuite issues
• Debug existing SuiteScript customizations
• Improve workflows, scripts, and automations
• Propose and implement reliable technical solutions
• Work closely with technical leadership on important decisions

Requirements:

• Strong NetSuite experience
• Strong SuiteScript / JavaScript skills
• Experience with debugging and improving existing code
• Strong problem-solving skills
• Ability to work independently
• Advanced spoken English

Nice to have:

• SuiteQL / Saved Searches
• NetSuite integrations
• ERP systems background
• Experience supporting operations, service, or field-service businesses

Salary: $2500–4000

Format: Full-time, Remote

Tech Stack:
• Python (5+ years)
• Strong working knowledge of SQL for data extraction and analysis (3+ years preferred)
• API integration with LLMs: OpenAI, Azure OpenAI, Claude
• ML/LLM architectures: RAG, embeddings, retrievers
• DevOps/MLOps: Docker, deployment of models on dedicated servers or cloud infrastructure
• Nice to have: FastAPI, vector databases (FAISS, Weaviate), prompt engineering
• Tools under consideration: LangChain or similar frameworks for rapid prototyping of LLM-based pipelines
 
Responsibilities:
• Design and build a production-grade LLM+RAG system for contextual data analysis
• Integrate external data sources and tools into the assistant’s knowledge base
• Set up and fine-tune LLMs on dedicated infrastructure or in the cloud
• Develop complex multi-step agents and orchestrated pipelines
• Build integrations with different platforms via API
• Ensure performance, scalability, and CI/CD automation of the ML systems
 
Requirements:
• Proven experience building real-world AI/ML products
• Deep understanding of the full machine learning lifecycle
• Experience working with popular LLM APIs and frameworks
• Ability to work independently and propose technical solutions
• Hands-on experience with LLM+RAG design patterns and prompt engineering
 
We Offer:
 

• A fully remote role with flexible engagement (full-time or contract) – you can also choose to work in the office or in a hybrid format if you prefer
• An opportunity to influence and shape the architecture and overall direction of the AI product
• Work at a large product company with a wide range of in-house developed solutions, many of which have been leading the market for over 15 years
• Access to diverse internal projects, enabling you to develop various skill sets and show your potential in different areas
• A competitive compensation package that reflects your experience and skills, with opportunities for review based on performance

Our client: US product company, an athletics management platform used by thousands of schools across the United States: rosters, eligibility, scheduling, officials assignment and payments. A mature product with real scale, now adding AI features to the core workflows.

You will own features end to end, across the stack, in a small team where what you ship reaches production the same week.

Format and time zone

Fully remote from Ukraine. The team is distributed across US time zones, with its core on US Central Time. We ask for a few core overlap hours daily, in practice from around 16:00-17:00 Kyiv time. Everything else is asynchronous and written by default, with a low meeting load.

What you'll do

• Build user-facing features in Node.js/Express and React with TypeScript, from spec to production
• Own the full slice: API design, database schema changes, rollout and the monitoring that follows
• Work AI-first every day: funded frontier models from Anthropic and OpenAI, agentic coding tools, and repo-level convention files so generated code follows the team's patterns. The tools are used hard, the output is reviewed by humans, and PRs say what was generated
• Bring your own practice to the team: custom skills, project conventions, prompts and workflows that make the whole team faster, not just you
• Raise engineering standards through code review, architectural patterns and targeted refactors
• Support what you ship on a light shared on-call rotation

Requirements:

• 5+ years shipping production software as a full-stack engineer
• Strong Node.js with Express (or NestJS) and React, both in TypeScript
• PostgreSQL: schema design, migrations, query optimisation
• Working knowledge of AWS (ECS/Lambda, Secrets Manager, CloudWatch) and CI/CD in GitHub Actions
• Daily, hands-on use of AI coding tools (Claude Code, Cursor, Copilot or similar). Not occasional autocomplete, but agentic workflows, custom skills that encode project conventions, and the judgement to tell genuinely good generated code from code that merely looks plausible
• Comfortable owning a feature alone, from database to UI
• English B2+ 

Nice to have

• Angular, for the parts of the platform built on it
• MCP servers, custom agent skills or other tooling you built around AI-assisted development
• React Native
• Domain experience in scheduling or logistics

We are seeking an experienced Senior Business Analyst to join a data management project within a leading pharmaceutical company.

The role will focus on Master Data Management (MDM), data modeling, and data governance, acting as a business counterpart to MDM and data platform teams. The Business Analyst will help translate business needs into clear data requirements, models, and processes, while supporting the development of downstream data structures and ontologies.

Responsibilities:

• Act as a senior business counterpart for MDM, data platform, and Foundry teams, owning the clarification and translation of business needs into actionable data requirements.
• Lead requirements discovery and analysis related to Master Data Management, including master data domains, attributes, relationships, business rules, hierarchies, and ownership.
• Work closely with business stakeholders and technical teams to define how master data should be structured, governed, and represented across downstream systems and data platforms.
• Support the definition and refinement of conceptual and logical data models, ensuring that business concepts and relationships are accurately represented.
• Facilitate discussions between business and technical stakeholders, proactively resolving ambiguities, inconsistencies, and gaps in data requirements.
• Contribute to the development and evolution of enterprise ontologies, including the definition of business entities, relationships, terminology, and semantic models.
• Support data governance activities, including data definitions, ownership, quality rules, standards, and consistency across systems.
• Analyze existing data structures and processes and recommend improvements to support scalable and consistent enterprise data management.
• Maintain clear documentation covering business requirements, data definitions, models, business rules, decisions, and dependencies.
• Validate proposed data models and delivered solutions with business stakeholders to ensure alignment with business processes and intended use.
• Collaborate closely with distributed stakeholders and teams, including colleagues based in the US.

Requirements:

• 5+ years of experience as a Business Analyst, Data Business Analyst, or similar role within complex enterprise environments, with significant exposure to data-related initiatives.
• Strong practical understanding of Master Data Management principles, including master data domains, golden records, hierarchies, relationships, matching, data ownership, governance, and lifecycle management.
• Experience translating complex business concepts into structured data requirements and data models.
• Good understanding of data modeling principles, including entities, attributes, relationships, reference data, and conceptual/logical data models.
• Experience working closely with MDM, data engineering, data architecture, or enterprise data platform teams.
• Ability to operate as an independent and senior business counterpart to technical teams rather than relying on engineering teams to drive requirements definition.
• Strong stakeholder management and facilitation skills, with the ability to work with both business and technical stakeholders and challenge assumptions when necessary.
• Experience with data governance, data quality, business glossaries, metadata, or data ownership frameworks.
• Familiarity with ontology or semantic data modeling concepts is highly desirable.
• Experience with Reltio or another MDM platform is a strong advantage, but specific Reltio expertise is not required.
• Experience with Palantir Foundry or similar enterprise data platforms is a plus.
• Pharmaceutical, healthcare, or life sciences domain experience is highly desirable.
• Basic understanding of SQL and data querying concepts is beneficial, but hands-on development or data engineering experience is not required.
• Strong analytical and problem-solving skills, with a high level of ownership and the ability to independently structure ambiguous business problems.
• Ability to work effectively in a distributed international environment.
• English: Upper-Intermediate or higher.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

What is the purpose of this position?
We are looking for a Senior Data Engineer with strong hands-on experience in the Azure ecosystem to design, build, and maintain scalable data pipelines and infrastructure. You will work closely with other engineers to ensure reliable, high-quality data flows across the organization. Potential clients make many requests, so we want to bring a new specialist on board and provide fast staffing.

Location: Remote (CET time zone preferably), ready to coordinate with US and EU time zones.

Responsibilities:
Design, build, and maintain scalable, reliable ETL/ELT data pipelines for batch and streaming data.

• Architect and optimize data storage solutions (data lakes, data warehouses) on Azure.
• Develop and maintain data models, schemas, and transformation logic to support analytics and reporting.
• Ensure data quality, consistency, and integrity across pipelines through validation, monitoring, and alerting.
• Optimize pipeline performance and troubleshoot bottlenecks in large-scale data processing.
• Implement and maintain CI/CD pipelines for data engineering workflows.
• Collaborate with data scientists, analysts, and backend engineers to understand data requirements and deliver solutions.
• Define and enforce best practices for data governance, security, and access control.
• Mentor junior data engineers and contribute to technical decision-making and architecture reviews.
• Document data architecture, pipelines, and processes for internal knowledge sharing.
   

Requirements:

• Strong hands-on experience as a Data Engineer, including senior-level or lead responsibilities.
• Strong practical experience with the Azure data ecosystem (e.g. Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage).
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Strong programming experience in Python (or Scala/Java) for data processing and pipeline development.
• Experience designing and building ETL/ELT pipelines for both batch and streaming data (e.g. Spark, Kafka, Azure Event Hubs).
• Solid understanding of data modeling, data warehousing concepts, and dimensional design.
• Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform, ARM/Bicep templates, Azure DevOps, GitHub Actions).
• Experience with data quality, testing, and monitoring practices for data pipelines.
• Strong analytical and problem-solving skills, with the ability to work independently on ambiguous or complex data challenges.
• Strong communication skills, with the ability to collaborate cross-functionally and explain technical concepts to non-technical stakeholders.
   

Nice to Have:

• Azure certifications (e.g. Azure Data Engineer Associate, Azure Solutions Architect).
• Experience with orchestration tools (e.g. Apache Airflow, Azure Data Factory pipelines).
• Experience with data governance and cataloging tools (e.g. Microsoft Purview).
• Familiarity with BI/reporting tools (e.g. Power BI).

• Experience working in a regulated or high-compliance data environment.
   

  Hiring process:
  • HR interview
  • Technical interview
  • Client interviews
  • Reference check
  
  We offer:
  • Remote Work Environment. Work from anywhere and be part of a geographically diverse team
  • Stay Ahead of the Curve. Work with cutting-edge technologies
  • Possibility of payment via PE account, Payoneer, or Wise
  • Bonus & Referral system
  • 16 paid vacation days and 10 sick days per year
  • Flexible hours
  • Compensation program for purchasing new laptops
  • Paid professional certifications & educational courses
  • Paid English classes
  • Friendly atmosphere with quarterly team building
  • No bureaucracy
  
  Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks 
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) 
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

We're Phunk Creative, a design and web agency based at Salts Mill in Saltaire, UK. We're a Webflow Professional Partner and we build sites for B2B SaaS, legal and professional services clients across the UK and US.

We're looking for a mid to senior UI/UX designer to join us on a long-term contract, working full-time hours with our team in the UK.

What you'll do

• Design website pages in Figma, built properly for handoff to Webflow development
• Work from briefs, wireframes and brand guidelines through to final high-fidelity design
• Build and maintain design systems: components, variables, typography and spacing scales
• Design responsive layouts across desktop, tablet and mobile breakpoints
• Work directly with our Webflow developers, answering questions during the build
• Take feedback from our design lead and from clients, and iterate quickly
•  

What we need from you

• 3+ years designing websites and digital products
• Strong Figma skills. You must be confident with auto layout, components and variants, and variables. We will test this.
• You structure files so a developer can build from them without guessing
• You understand how web layouts actually work: grids, breakpoints, states, constraints
• A portfolio of live website work, or final figma files
• Upper-Intermediate English or better. You'll speak with our team daily.
• Reliable working setup, including a backup power and internet plan

Portfolio is mandatory

You must include a link to your portfolio or a PDF of your work. Applications without one will not be reviewed. We won't ask you for it afterwards, so please include it when you apply.

If your best work is under NDA, send what you can share and describe the rest.

Nice to have

• Hands-on Webflow experience, even basic
• Brand and identity design
• Motion and interaction design
• Experience working with UK or US clients

What we offer

• Long-term contract, full-time hours, fully remote
• Monthly payment in USD
• UK working hours, roughly 9am to 5:00pm
• Real client projects with proper budgets, we do not do template work
• Direct working relationship with the founders

How to apply

Send your portfolio link and a short note telling us which project in it you're most proud of and why.

Codebridge is looking for a Senior Design Engineer to own the user experience of a UK insurance technology product. We want a designer who ships — someone who designs a flow and then builds it in React, and who can hold a design system together across channels we don't control. The product is already in production with a major carrier, and most of the customer experience happens inside an AI assistant.

Responsibilities:

• Take responsibility for the end-user experience in every channel the product appears in, AI assistants such as ChatGPT and Claude included.
• Create and maintain a shared set of interaction patterns, so that a journey built once behaves identically wherever it runs.
• Establish and safeguard the design system: tokens, per-insurer theming, accessibility, and the limits of environments we don't own.
• Treat disclosures, consent, confirmation and hand-off as part of the journey itself, so that regulatory requirements read as good product.
• Work with engineering on the conversational layer — tone, turn structure, and the testing that proves it holds up.
• Take charge of the insurer-facing console: setup, monitoring, and the audit trail a regulated business depends on.

• Prototype quickly, validate with real users and real insurers, and convert those findings into released product.

   

Requirements:

• 5+ years in product or interaction design, with shipped work you can talk through from problem to release.
• You design in code — confident maintaining a React/TypeScript component library in production rather than passing mockups to someone else.
• A portfolio of intricate, high-stakes journeys in fintech, insurance, healthcare or a comparable field, where a user mistake is costly.
• Deep design-systems expertise: tokens, theming, accessibility, and the rigour of designing for platforms and limitations outside your control.
• Hands-on work with conversational or AI-native interfaces, plus a clear point of view on when chat is the wrong format.
• Systems thinking — you shape a journey as a set of reusable building blocks rather than a sequence of screens.
• Ownership and a responsible mindset, focused on outcomes.
• Advanced English or higher.
• An insurance background is a plus but not a must — we provide the domain context.

You don't need to tick every box. We're interested in people who are excited by the problem and bring most of the experience described above.

We Offer:

• Product Ownership: You set how the product looks and behaves, and own those design decisions end to end
• Short Decision Path: A small, experienced team with no layers to clear — you decide and move
• Early-Team Equity: You join among the first people on the product, with a meaningful equity share from day one
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually
• Professional Growth: Compensation for courses, certifications, and learning resources
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Claude Code, GitHub Copilot, etc.)

Hiring Process:

1. HR interview
2. Technical / final interview 
3. Client stage 

About us:
 

BetterMe — an all-in-one well-being ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

About the role:
 

We are looking for a Full Stack Engineer (PHP + JavaScript + AI)to join our Workouts team, responsible for the physical activity experience of our users: workouts, workout plans, fitness data, and integrations.
 

You will build and improve product features, enhance content management systems, and contribute to the reliability and scalability of our applications. The role combines backend and frontend development with product ownership and the use of AI-assisted coding tools to support faster, high-quality delivery.

Your impact:
 

• Implement and enhance features from conception through to deployment, ensuring they meet strategic business objectives.
• Design and develop content management systems using React, Vue, and JavaScript, dedicating approximately 50% of your time to frontend tasks and leveraging AI-assisted tools to accelerate development where appropriate.
• Write clean, secure, testable, scalable, and well-documented product or system code.
• Actively participate in multiple aspects of the SDLC, including planning, development, testing, and deployment.
• Work closely with product, client, and other cross-functional teams to deliver high-quality features and resolve integration issues.
   

About you:
 

• 5+ years of software engineering experience with a track record of shipping production-ready products.
• Work confidently across the full stack, including backend (PHP 8.0+ with OOP skills, using frameworks like Symfony or Laravel)  and frontend technologies (JavaScript, jQuery, React/Vue).
• Actively use Agentic Coding tools (e.g., Claude Code, Codex, Cursor) to improve development workflows.
• Work with relational databases (MySQL and/or PostgreSQL) and in-memory storage/caching solutions (e.g., Redis, AWS ElastiCache).
• Understand the AWS ecosystem and basic DevOps practices.
• Apply knowledge of microservices, microfrontends, BFFs, and asynchronous communication systems (e.g., RabbitMQ, Apache Kafka, Amazon SQS).
• Think in terms of business and product impact, not only implementation.
• Demonstrate eagerness to learn and share knowledge with others.
• Show independence, ambition, and a strong ownership mindset.
• Thrive in small, fast-moving teams with frequent releases and quick iteration cycles.
   

Would be a plus:
 

• Familiarity with Clean Architecture software design philosophy or DDD
• Hands-on experience with GoLang.
• Ability to document requirements and create architectural diagrams (using PlantUML or Mermaid).
• Experience with distributed systems and high-load services.
• Experience with Kubernetes/Helm and service mesh technologies like Istio.
• Excellent communication and collaboration skills. Proactive approach to identifying and solving complex problems.
   

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

 

Brief introduction
You will build production RAG and LLM systems that read real documents and run inside enterprise ERP and finance stacks.

This is a solo, end-to-end role. You join client calls, design the architecture, then build the important parts yourself. Our core stack is Python, Django, Angular and RAG. Ukraine/EU hours.

About us

Deploy Staff automates the manual work large enterprises run on: finance, operations, customer service, reporting. We build complex systems for clients in the US and UAE (currently primarily UAE), centered on production RAG and LLM workflows that read real documents and integrate with real ERP and finance systems.

Despite the name, we don't place engineers into other people's teams. We are not an outstaff company. We own the solutions we build end to end, and so will you.

The role

Solo and end to end. You are the engineer on your projects: there is no development team, and the technical work is yours from discovery through production support.

You sit in on client calls with the project manager, understand the business problem, design the architecture, then open the codebase and build it yourself. The PM runs the relationship and the commercial side. You own the system.

Solo does not mean isolated. You have direct access to the people making decisions, and we talk architecture through with you before you commit to it. After that the code is yours to write and merge. Part of the job is judgement about which calls are yours and which should come back to us, and we would rather be asked than surprised.

If you have spent recent years distributing work and reviewing it, this will feel like a step backwards. If you have spent them wishing there were fewer people between you and the problem, it will not.

What we expect

Our core stack is Python, Django, Angular and RAG/LLM-based workflows. That is what we need you to already be good at.

Core

• Production LLM work: RAG (retrieval design, chunking, evaluation), document processing, structured extraction or agentic workflows. Shipped and operated by you, through the parts that only show up after real users arrive
• Strong Python with Django or DRF, and PostgreSQL data models you can design and debug in production
• Angular and TypeScript. You own the frontend of what you build, so you need to be able to ship a feature through it without waiting for anyone
• Advanced English (C1). You will question senior stakeholders directly and explain a decision a second way when the first one does not land

Also part of the work

You will hit all of this. We do not expect equal depth in every line, and we do expect you to pick up what you are missing.

• Celery, Redis, queues and asynchronous processing
• Enterprise integration: ERP, finance, CRM systems and their APIs
• Cloud infrastructure, deployment, observability and security. AWS, GCP, Kubernetes, Docker
• Reading an existing system before changing it, and keeping what already works

What matters more than the CV

What you personally built, what you personally decided, and what happened when it broke. If your strongest examples are systems your team implemented while you supervised, this is not the right fit.

How we work

Remote, with working hours aligned to the Ukraine time zone.
Small team, direct access to decision makers, real operational problems. You get problems to solve rather than specs to implement.

Interview

1. Introductory interview.

2. Technical interview with us.

3. Test task.

4. Offer.
Interviews are recorded and shared only within the hiring team, so decisions are made on what you actually said rather than someone's notes.

Repeating once again - our core stack is Python, Django, Angular and RAG! We cannot compromise on any of these. If one of those isn't present or barely used - this is an immediate mismatch!

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

The Senior Search Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).