Jobs

We're a fast-growing product company revolutionizing financial services with technology. If you're passionate about clean code, performance, and solving real business problems, we want you on our team!

💼 About the Role

We're looking for a Backend Software Engineer to help develop and scale our internal and client-facing fintech platforms. You'll join a cross-functional team of product thinkers, engineers, and designers to shape high-performance systems that drive financial innovation.

🧩 What You'll Do

• Develop and maintain core backend services
• Participate in system architecture and API design
• Work closely with product team to deliver robust solutions
• Optimize application performance and scalability
• Contribute to code reviews, testing, and continuous improvement

✅ Requirements

• 5+ years of experience in backend development (programming language doesn't matter)
• Good English and communication skills (all communication and documentation is in English)
• AI driven (you already use Claude Code, Codex or something similar in your daily flow)
• Be open for new technologies and flows
• Solid understanding of OOP, design patterns, and system architecture
• Experience working with SQL databases and caching systems
• Familiarity with Docker and Linux-based environments
• Background in AWS infra is a plus

🛠️ Current Tech Stack

• Backend: Laravel (PHP 8+)
• Database: MySQL, Redis
• API: GraphQL
• Tools: Git, Docker, CI/CD (GitHub)
• Cloud: AWS

🎁 What We Offer

• Probation period is 4 months
• Competitive salary (based on experience)
• Flexible schedule with full remote setup
• We also have comfortable offices in Kyiv and Tallinn where you can work
• Career growth opportunities in a product-driven environment
• Supportive and agile team culture

📋 Interview Process

1. Initial interview with HR and/or CTO — up to 30 minutes via Google Meet (camera required)
2. Technical interview with senior engineers — up to 2 hours via Google Meet (camera required)
3. Team match interview with CTO and CPO — up to 45 minutes via Google Meet (camera required)
4. Final decision

Please note: As a rule, we do not provide detailed feedback on rejection decisions.

Senior / Staff Level 

Location: Remote | Full-Time 

About Kooltra 

Kooltra is a Canadian fintech company building FX infrastructure and cross-border payment technology for banks and financial institutions. With over a decade in market and a growing footprint in North America, we are now accelerating our US expansion and undertaking a fundamental shift toward an AI-first development and delivery model. 

To fuel that shift, we need Platform Engineers to invest in our platform and transform how we implement customers. 

About the Role 

We’re looking for a Platform Engineer who lives and breathes clean architecture and believes that a well-designed domain model is the foundation of everything great in software. You’ll own and evolve our core platform layer—the expressive, domain-driven backbone that powers our suite of financial products and enables third-party applications, services, and UIs to build on top of it with confidence. 

This is a high-leverage role. The platform you shape will be the surface that internal teams, external integrators, and next-generation AI agents interact with. You’ll design APIs and event contracts that are intuitive enough for a developer to pick up in minutes and robust enough to handle complex financial workflows at scale. 

Developer experience is at the heart of this role. You believe that a platform is only as good as how it feels to build on, and you’re obsessed with making the developer journey—from onboarding to production—effortless and delightful. You’ll craft expressive APIs, self-documenting domain models, and tooling that lets internal teams and third-party developers move fast with confidence. 

You’re excited about AI—not as a buzzword, but as a force multiplier. You see the convergence of great developer experience and AI as the next frontier: a platform where AI agents can discover capabilities, reason about domain events, and execute complex financial workflows through the same intuitive surface that human developers use. You want to build an AI-first developer experience—one where the platform is as legible to an autonomous agent as it is to a senior engineer reading the docs for the first time. 

What You’ll Do 

• Iterate and extend an expressive, domain-driven platform layer that serves as the integration surface for internal products, third-party applications, and AI-powered services. 

• Own the end-to-end developer experience on the platform—from SDK design and API ergonomics to documentation, error messages, and onboarding flows—ensuring every touchpoint is intuitive and productive. 

• Pioneer an AI-first developer experience where platform capabilities are discoverable, composable, and structured for consumption by both human developers and AI agents. 

• Define and enforce clean bounded contexts, aggregates, and domain events that model complex financial operations with precision and clarity. 

• Architect event-driven systems using Kafka to enable loose coupling, auditability, and real-time reactivity across the platform. 

• Build and maintain microservices in Kotlin, ensuring each service has a clear domain responsibility and well-defined contracts. 

• Champion test-driven development as a design discipline—not just a quality gate—driving clean, modular, and refactorable code. 

• Design platform APIs, SDKs, and event schemas with a relentless focus on developer experience—self-describing, well-typed, and structured so that AI coding assistants and autonomous agents can reason about and invoke them naturally. 

• Build developer tooling, templates, and golden paths that reduce friction and accelerate time-to-first-integration for both human developers and AI-driven workflows. 

• Operate and optimize services on Kubernetes (EKS) and AWS, making pragmatic infrastructure decisions that balance developer experience with operational reliability. 

• Model and manage data in MongoDB with thoughtful schema design that aligns with domain boundaries and supports evolving query patterns. 

• Collaborate closely with product, compliance, and integration teams to translate complex financial and regulatory requirements into elegant platform abstractions. 

• Continuously evaluate and integrate AI-assisted development tools and patterns into the team’s workflows, raising the bar for what’s possible. 

What You Bring 

• Deep experience building platform layers or shared service foundations in an enterprise or B2B SaaS environment, with a track record of enabling third-party integrations and external developer experiences. 

• Strong command of Domain-Driven Design in practice—bounded contexts, aggregates, domain events, anti-corruption layers—not just theory. 

• Proven ability to design and operate event-driven architectures with Kafka, including schema evolution, exactly-once semantics, and event sourcing patterns. 

• Proficiency in Kotlin and TypeScript, with an emphasis on clean, well-tested, and maintainable code. 

• Hands-on experience with Kubernetes (preferably EKS), containerized microservices, and AWS cloud infrastructure. 

• Solid MongoDB experience including schema design, indexing strategies, and performance optimization aligned with domain models. 

• A test-driven development mindset where tests shape design, not just verify behavior. 

• Strong opinions on clean code and architecture, held loosely and communicated clearly—you make the codebase better every time you touch it. 

• A passion for developer experience as a discipline—you’ve designed APIs, SDKs, or platform tooling with the consumer’s experience as the primary design constraint, and you measure success by how quickly someone can go from zero to productive. 

• Genuine enthusiasm for AI and its potential to transform how platforms are built and consumed. You follow developments in AI agents, function calling, MCP, and autonomous systems and think about how platform design enables or constrains them. You’re energized by the idea of building a platform that AI can use as fluently as a human developer. 

• Excellent communication skills and the ability to articulate complex architectural decisions to both technical and non-technical stakeholders. 

Nice to Have 

• Background in fintech, payments, FX, treasury operations, or regulated financial services. 

• Experience designing APIs or event contracts consumed by AI agents or LLM-based systems, including function calling schemas, tool-use patterns, or MCP server implementations. 

• Track record of building internal developer platforms, developer portals, or self-service tooling that measurably improved developer velocity. 

• Familiarity with compliance frameworks (SOC 2) and how they influence platform design. 

• Contributions to open-source projects or developer tooling. 

• Experience building multi-tenant platforms that serve diverse institutional clients. 

Why This Role Matters 

The platform layer is the highest-leverage code in the company. It’s what makes every product team faster, every integration cleaner, and every AI capability possible. You won’t be building features in isolation—you’ll be shaping the foundation that everything else is built on, and defining what it feels like to build on that foundation. If you believe that great developer experience is an act of empathy, that the best platforms are the ones that disappear into simplicity, and that AI-first design is the future of how platforms are consumed—we’d love to talk. 

We are looking for an experienced Salesforce Architect to join our team on a full-time basis. In this role, you will be responsible for designing and delivering scalable, secure, and high-performing Salesforce solutions that support business objectives. You will work closely with stakeholders, developers, and global teams across multiple Salesforce Clouds

What you will do

• Design end-to-end Salesforce solution architectures with a strong focus on scalability, security, and performance;
• Collaborate with business stakeholders to analyze requirements and translate them into technical and architectural solutions;
• Work closely with Business Analysts during pre-sales and discovery phases, contributing technical expertise to shape optimal solutions and support well-informed decision-making;
• Participate in discovery sessions with clients to better understand business challenges and help define future-state solutions;
• Define technical strategies and select the most appropriate implementation approaches (declarative vs. programmatic);
• Lead and oversee development of Apex, Lightning Web Components (LWC), Flows, triggers, and integrations when required;
• Architect and manage integrations with third-party systems using REST / SOAP APIs;
• Ensure solutions follow Salesforce best practices, architectural standards, and security guidelines;
• Support data migration, automation, and system optimization initiatives;
• Define and maintain CI/CD pipelines, DevOps processes, and deployment strategies;
• Provide technical leadership, guidance, and mentorship to Salesforce Developers;
• Stay up to date with Salesforce platform releases and recommend innovative improvements

We are looking for

• 5+ years of hands-on experience with Salesforce as a Developer and/or Architect;
• Strong expertise in Salesforce architecture and experience with multiple Salesforce Clouds (Sales, Service, Marketing, etc.);
• Advanced knowledge of Apex, LWC, Visualforce, SOQL, Flows, and APIs (REST/SOAP);
• Proven experience designing scalable solutions and complex system integrations;
• Solid understanding of Salesforce security model, data modeling, and performance optimization;
• Experience with CI/CD, DevOps tools, and Salesforce deployment strategies;
• Salesforce certifications (Application Architect, System Architect, Technical Architect) are a strong advantage;
• English proficiency at C1 level (written and spoken);
• Ability to work independently and collaborate effectively within distributed teams.

Role Overview:
Our client is looking for a DevOps professional with a strong growth mindset to help evolve and optimise the large-scale infrastructure. You’ll collaborate closely with development and DevOps teams, contribute to improving clients' existing systems, and help design new solutions in a dynamic environment that supports innovation and professional growth. You’ll be working with a complex ecosystem that includes 6+ AWS organisations, 30+ AWS accounts, and over 600 applications, where your ideas and contributions will have real impact.

Key Responsibilities:

• Collaborating with the development team;
• Reviewing the current infrastructure and planning improvements;
• Mitigating incidents, if needed;
• Collaborating with the DevOps team to make our client's team excellent;
• Brainstorming on new solutions/architecture.
   

Required Skills & Experience:

• 5 years of DevOps engineering experience. Experience working as a part of a central DevOps team - responsible for complex projects or several projects, would be a good fit;
• Proven technical troubleshooting skills;
• Experience in managing WEB projects, hands-on experience with typical web components and approaches;
• Experience in passing/maintaining compliance (optional);
• Hands-on experience with typical web components and approaches;
• Security practices;
• A sense of ownership;
• Data-driven decisions;
• Solving the root cause, not the symptoms;
• Self-learning (for the project and necessary skills);
• Upper-intermediate proficiency in English.
   

To be confident with a tech stack like:

• IaC (infrastructure as a code): ArgoCD (or Flux) Helm, Terraform (Terragrunt), Ansible (we are migrating to Docker/Helm);
• Cloud platforms: AWS;
• Containers: Kubernetes, Docker;
• Database operations: mostly PostgreSQL (but experience with any of the major databases could help);
• Experience with CI/CD configuration: GitLab pipelines;
• Programming language: ability to read some code in case of debugging or writing a simple script (Python, Ruby, PHP, NodeJS);
• Experience working/setting up monitoring solutions: any of the spread ELK, Prometheus, Victoriametrics, etc.
• Must have confidence in Linux / Networking, the ability to troubleshoot, and an understanding of HTTP interaction.
   

The company guarantees you the following benefits:

• Global Collaboration: Join an international team where everyone treats each other with respect and moves towards the same goal;
• Autonomy and Responsibility: Enjoy the freedom and responsibility to make decisions without the need for constant supervision;
• Competitive Compensation: Receive competitive salaries reflective of your expertise and knowledge as our partner seeks top performers;
• Remote Work Opportunities: Embrace the flexibility of fully remote work, with the option to visit company offices that align with your current location;
• Flexible Work Schedule: Focus on performance, not hours, with a flexible work schedule that promotes a results-oriented approach;
• Unlimited Paid Time Off: Prioritise work-life balance with unlimited paid vacation and sick leave days to prevent burnout;
• Career Development: Access continuous learning and career development opportunities to enhance your professional growth;
• Corporate Culture: Experience a vibrant corporate atmosphere with exciting parties and team-building events throughout the year;
• Referral Bonuses: Refer talented friends and receive a bonus after they successfully complete their probation period;
• Medical Insurance Support: Choose the right private medical insurance and receive compensation (full or partial) based on the cost;
• Flexible Benefits: Customise your compensation by selecting activities or expenses you'd like the company to cover, such as a gym subscription, language courses, Netflix subscription, spa days, and more;
• Education Foundation: Participate in a biannual raffle for a chance to learn something new unrelated to your job as part of your commitment to ongoing education.
   

Interview process:

• HR Interview with the Recruiter;
• 1st stage of technical interview (1 h) to assess your practical hard skills;
• 2nd stage of technical interview (1 h) to assess your theoretical skills;
• A 1-hour Final interview with the team.
   

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

This is a freelance, project-based role for a specific scope of work. Please include a link to your portfolio when applying.

About the project

We're looking for a UI/UX designer to redesign the configuration menu of an existing 3D product configurator. The configurator is used by clients to visualize and customize furniture/outdoor product lines in real time. 
 

https://www.tuuci.com/designstudio/
 

Current State

The existing menu is outdated, unnecessarily complex and creates usability challenges due to limited guidance for new users. It can also prevent the team from introducing new features. The current main goal for customer is to configure each product on the scene individually, rather than product composition as a whole, which can’t be done with the current menu set up.

Scope of Work

• Audit of the current configurator UX/UI (we will provide details on main pain points and any context that needed)
• User flow mapping for the new "configure by element" experience
• Wireframes and interactive prototypes
• UI design aligned with existing brand guidelines

• Design handoff documentation for development (specs, states, edge cases)

   

Deliverables

• UX audit summary
• User flow diagrams
• Wireframes (low-fi)
• Interactive prototype (e.g., Figma)

• Final high-fidelity UI designs, including all component states (default, hover, selected, disabled, error)

   

What we're looking for

• Strong portfolio in configurator, e-commerce or product customization UX 
• Experience designing complex interfaces 
• Comfort working with 3D/visual product data and real-time preview systems
• Ability to simplify complexity without removing functionality
• Familiarity with component-based design systems
• Strong communication skills (a collaborative process with our internal team and stakeholders)

Who We Are

At Bennett Data Science, we've been pioneering the use of predictive analytics and data science for over a decade for some of the biggest brands and retailers. We're at the top of our field because we focus on delivering actionable AI for our clients. Our deep experience and product-first attitude set us apart from other groups and gets us the business results our clients want.

Why You Should Work With Us

You'll be exposed to a wide range of clients who are at the cutting edge of innovation in their field and get to work on fascinating problems, supporting real products, with real data. We help lots of companies, from some of the largest companies in the world to small startups in Silicon Valley who are building the next big thing.

Expert Mentorship: Direct guidance from senior staff with 20+ years of applied ML experience

Competitive Compensation: Market-rate pay with performance upside

Fully Remote: Work from any location of your choice, on a flexible schedule

The Role:
We are seeking a Senior Data Scientist to support the design, development, validation, and productionization of an advanced forecasting solution. This is a hands-on role requiring strong statistical judgment, practical modeling experience, and the ability to translate analytical findings into clear recommendations.

The successful candidate will work closely with data science, data engineering, and business stakeholders throughout the full modeling lifecycle, from exploratory analysis and model development to deployment, documentation, and handoff.

Key Responsibilities

• Develop, evaluate, and improve forecasting models using Python.
• Establish appropriate baselines and compare alternative modeling approaches.
• Design rigorous time-based backtesting and model-validation frameworks.
• Develop methods for handling limited historical data, changing patterns, and structural shifts.
• Produce prediction intervals and other measures of forecast uncertainty.
• Identify, test, and monitor potential forecast drivers.
• Develop configurable scenario-planning and sensitivity-analysis capabilities.
• Create model diagnostics and early-warning indicators.
• Write modular, tested, maintainable, and well-documented code.
• Collaborate with data engineering on production pipelines, model tracking, and automated forecast runs.
• Explain model results, assumptions, limitations, and changes to technical and non-technical stakeholders.
• Support technical documentation, knowledge transfer, and final solution handoff.
  
  Required Qualifications
• Five or more years of professional experience in data science, applied statistics, econometrics, forecasting, or a related field.
• Strong practical experience developing forecasting or predictive-modeling solutions.
• Advanced Python and SQL skills.
• Strong knowledge of regression, time-series methods, feature engineering, residual analysis, and uncertainty estimation.
• Experience designing rolling or time-based backtests and preventing data leakage.
• Ability to distinguish meaningful predictive signals from unstable or spurious correlations.
• Experience developing production-quality analytical code using version control and standard software-development practices.
• Strong analytical communication and stakeholder-management skills.

• Ability to work independently and deliver within a defined project timeline.
   

  Preferred Qualifications

• Experience developing scenario-planning or decision-support tools.
• Experience working with small historical samples or significant changes in underlying data patterns.
• Familiarity with Microsoft Fabric, Azure, MLflow, or comparable cloud-based analytics platforms.
• Experience productionizing forecasting models and implementing ongoing performance monitoring.
• Experience presenting analytical findings to Finance or senior leadership.

About the Client

Our client is a fast-growing deep-tech startup building advanced solutions for monitoring large-scale critical infrastructure. Their technology combines innovative fiber-optic sensing with machine learning to turn existing optical fiber into a real-time distributed sensor, helping monitor infrastructure such as power grids, pipelines, railways, roads, and other critical assets.

They are building a scalable, cloud-native platform designed to solve real-world, high-impact problems. Their culture is product-driven, fast-paced, and ownership-oriented. They value strong engineers who think like builders, move fast, and care deeply about quality.

We are looking for a Senior AI-Integrated Full Stack Engineer to join our client’s applications engineering team. You will play a key role in designing, building, and scaling their platform end-to-end — from intuitive frontend experiences to robust backend services and cloud infrastructure.

What You’ll Do

* Design and implement scalable, high-performance web applications end-to-end

* Be part of an intensive transformation to modern AI work methodology using the latest AI models.

* Architect backend services and APIs and build modern, responsive frontend applications.

* Be part of complex technical discussions with the ability to contribute a major part to the discussion and decisions.

* Own features from concept to production

* Optimize performance, reliability, and security across the stack as well as promote engineering best practices

What You Bring

* 5+ years of experience as a Full Stack Developer.

* Proven experience in development using AI as the main working tool.

* Proven experience with the relevant technologies and frameworks.

* Strong understanding of system design (experience with Chakra UI is an advantage), scalability, and cloud architecture

* Proven experience working with AWS in production environments

* Fluent in English and strong communication skills.

* You embrace change and learning on the go.

* Experience working in startup or fast-paced environments.

* Strong problem-solving skills and ownership mindset.

Our Client’s Tech Stack

* Full stack: Next.js, NestJS (Typescript)

* System design: ChakraUI

* Infrastructure: Kubernetes, Docker, CI/CD pipelines

* Database: SQL / NoSQL (depending on service)

* Cloud: AWS (Lambda, ECS/EKS, S3, RDS, etc.)

AI & Modern Engineering Expectations

Candidates must be proficient and up-to-date with the latest AI advancements, actively using AI-powered development tools (like Claude Code, Code Rabbit, or similar) to accelerate development, enhance code quality, and innovate product features where AI adds user value.

Nice to Have

* Experience with Spec-Driven-Development and methodologies to support full AI embracement

* Experience designing and developing microservices architecture.

* Experience with Python and Dash.

* Background in performance optimization and distributed systems

Our partner is a leading B2B iGaming supplier delivering engaging casino content to regulated markets worldwide. Since 2012, they’ve been building high-quality gaming experiences through a modern cloud-native platform that powers hundreds of operator brands across multiple jurisdictions.

Their Platform Solutions team sits at the heart of that ecosystem, enabling seamless integrations between the company, operators, aggregators and platform providers.

They’re now growing the team and looking for a Senior Integration Manager who thrives on ownership, enjoys solving technical challenges and wants to operate at the intersection of Product, Engineering and partners.

About the Role

This is not a traditional Integration Manager or Project Manager role.

They’re looking for someone who combines strong technical understanding with excellent stakeholder management and genuine ownership.

You’ll own partner integrations from initial technical discovery through to launch and beyond, becoming the primary technical contact for your portfolio of operators and aggregators. You’ll work closely with Product, Engineering and QA while representing the company externally, ensuring integrations are delivered successfully and issues are resolved efficiently.

The role is highly cross-functional and requires someone who is equally comfortable discussing API behaviour with engineers as they are leading technical conversations with partners.

Main Responsibilities

– Own end-to-end technical integrations with operators, aggregators and platform providers.
– Act as the primary technical contact for assigned partners throughout onboarding, launch and
BAU.
– Drive multiple integrations simultaneously while managing priorities and timelines.
– Troubleshoot complex integration issues, working closely with engineering teams to identify
root causes and drive resolution.
– Review API documentation, validate integration requirements and support partners throughout
implementation.
– Coordinate technical testing, certification and go-live activities.
– Work closely with Product, Engineering and QA to ensure successful delivery.
– Improve integration processes, documentation and partner onboarding experience.
– Build trusted relationships with both technical and non-technical stakeholders.

What Success Looks Like
– Successful people in this role:
– Take ownership rather than simply coordinate.
– Investigate issues independently before escalating.
– Build trust with engineers and external partners.
– Communicate technical concepts clearly.
– Drive integrations through to completion.
– Continuously improve processes rather than simply maintaining them.

Mandatory Requirements

– Strong experience in Integration Management, Technical Account Management, Solutions
– Engineering or a similar technical customer-facing role.
– Previous experience within iGaming or another API-heavy B2B SaaS environment.
– Solid understanding of REST APIs, HTTP, JSON, authentication methods and webhooks.
– Good understanding of API testing and troubleshooting methodologies.
– Experience investigating integration issues using logs and monitoring tools.
– Understanding of networking fundamentals including DNS, SSL/TLS and connectivity
troubleshooting.
– Ability to review technical documentation and API specifications.
– Excellent communication skills and confidence working directly with engineers and external
technical teams.
– Strong ownership mindset with the ability to drive work independently.
– Fluent English.

Nice to Have
– Experience with OAuth, JWT or HMAC authentication.
– Exposure to observability tools such as Kibana, Grafana or Datadog.
– Previous software development experience.
– Experience working with cloud-native platforms.
– Leadership or mentoring experience.
– Experience improving integration frameworks, tooling or documentation.

We offer

– Work on a modern cloud-native platform serving regulated markets worldwide.
– Solve technically interesting integration challenges.
– Own your work from discovery through production.
– Collaborate with experienced engineers and product teams.
– Influence how integrations are delivered and continuously improved.
– Remote-first environment with flexible working.
– Competitive salary and quarterly bonus.
– Unlimited annual leave and sick leave.
– Private medical insurance.
– Learning and development budget.
– Genuine opportunities for career growth into technical leadership.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client operates a cloud-based platform dedicated to corporate ground transportation management, addressing a multi-billion-dollar market. The solution aggregates multiple transportation providers—such as corporate fleets, ride-hailing services, taxi operators, and limousine networks—into a unified system that helps businesses streamline operations and reduce spend. It serves a significant share of the largest companies worldwide and handles high volumes of transactions and data across diverse geographies. The platform’s core challenges include integrating heterogeneous external services, maintaining reliability under high-load conditions, implementing advanced business logic for scheduling and pooling, and providing accurate cost control and reporting. Strong backend engineering is critical to scaling global coverage, ensuring performance, and delivering a seamless user experience.

About the Role:

You will join a cross-functional development team responsible for core backend services that directly impact end users. The role offers full ownership of feature delivery—from reviewing product requirements and defining technical designs alongside architects and product managers, through to coding, testing, deployment, and monitoring in production. You will serve as first-line support for your services, proactively identify and address reliability and performance issues, and collaborate with other teams to ensure end-to-end system integrity. This position demands technical leadership, a hands-on approach to system architecture, and the ability to influence both engineering and product decisions. You will work remotely with periodic team gatherings and receive the tools and environment needed to deliver tangible business impact in a fast-paced, agile setting.

Key Responsibilities:

• Lead end-to-end development of backend microservices, including implementation, deployment, and production monitoring.
• Translate product requirements into scalable technical designs, data models, and RESTful APIs.
• Integrate with external transportation providers and internal systems to enable reliable, real-time workflows.
• Analyze and optimize system performance and database queries under high-load scenarios.
• Propose and implement architectural improvements to enhance resilience, scalability, and maintainability.
• Maintain and refactor existing services to improve code quality, test coverage, and observability.
• Collaborate with cross-functional teams and mentor peers on best practices in coding, testing, and operations.
• Participate in agile ceremonies, including backlog grooming and sprint planning, to align deliverables with business priorities.

Required Competence and Skills:

• 5+ years of backend software development experience in Golang (willingness to work with Ruby). 
• Proven experience designing and implementing data-driven applications using relational databases (e.g., PostgreSQL) and NoSQL stores (e.g., Redis).
• Solid understanding of RESTful API design principles and the HTTP protocol.
• Hands-on experience with Agile/Scrum methodologies and iterative delivery.
• Proficiency in writing unit tests and applying automated testing practices.
• Strong English communication skills, both verbal and written.
• Ability to understand complex business domains and translate needs into optimal technical solutions.
• Deep understanding of system architecture, high-load applications, and concurrency principles.

Nice to Have:

• Expertise in performance tuning of relational databases.
• Familiarity with gRPC and Protocol Buffers.
• Prior work on high-load, distributed systems.
• Background in building concurrent applications.

Why Us:

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Equals 5 is a platform for managing advertising campaigns across digital channels: Meta, LinkedIn, Programmatic, etc. We build data infrastructure on GCP and process campaign statistics in BigQuery and ClickHouse.

We are looking for an Integration Team Lead to own our ad-platform integrations: the architecture, a team of 2–4 engineers, and the roadmap. Fully remote (EU timezones), reporting directly to the CTO.

What you'll do

• Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk)
• Lead a team of 2–4 engineers: code reviews, sprint planning, mentorship
• Design and maintain data pipelines from ad platform APIs to BigQuery/ClickHouse via Cloud Run Jobs
• Ensure data sync reliability: monitoring, alerting, error handling, retry strategies
• Work with API rate limits, OAuth flows, and webhooks across advertising platforms
• Drive new integration projects from API evaluation to production rollout
• Prioritize the integration roadmap together with the product team

Tech stack: Python 3.11+, GCP (Cloud Run, Cloud SQL, GCS), BigQuery, ClickHouse, PostgreSQL, Grafana, Cloud Build, Docker, Claude Code.

Must have

• 5+ years in backend/data engineering
• Strong Python: production-grade code with error handling, logging, and tests
• Experience leading a team of 2+ engineers
• Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution
• Experience with GCP or a comparable cloud at the service design level
• Experience integrating third-party APIs: rate limits, OAuth flows, webhooks, async reports
• Comfortable using AI coding assistants (Claude Code, Cursor, Copilot) in daily work

Nice to have

• Hands-on experience with Meta Marketing API or LinkedIn Marketing API: breakdowns, attribution windows, async reports
• Workflow orchestration platforms: Airflow, Prefect, Temporal
• BigQuery and/or ClickHouse
• The Programmatic ecosystem: DV360, The Trade Desk, OpenRTB
• Advertising metrics: impressions, clicks, conversions, ROAS, attribution models

How we work

We use Claude Code across the whole development workflow: writing and reviewing code, debugging production issues, designing system architecture. You will help the team shape these practices. We value ownership of your pipelines in production, pragmatism, transparency, and systems thinking: you see the full chain from API ingestion to the end-user dashboard.

What we offer

• Fully remote with flexible hours (EU timezones for syncs)
• Direct influence on technical strategy: you report to the CTO, with no layers between you and technical decisions
• Claude Code licenses and AI tooling as standard practice
• A small team where decisions are made fast

Interview process

1. Intro call (30 min): get to know each other, align on expectations
2. Technical interview (90 min): integration architecture, API experience, data pipeline design
3. Culture fit interview with PM

c3 is a research-led startup based in London and Kyiv. We are expanding our team and research and are seeking an RF engineer as part of this expansion. 

Requirements

• Strong background in RF sensing and wireless signal processing: channel state information (CSI), RSSI, multi-carrier/OFDM systems, amplitude/phase extraction, multipath, and the physics of RF propagation.
• Hands-on experience with real RF/wireless hardware data. You should have dealt with noisy channel estimates, phase instability, hardware/carrier frequency offsets, antenna effects, calibration drift, and the gap between clean lab captures and messy real-world signals.
• Strong understanding of RF signal-to-information inversion: extracting physical meaning from raw wireless measurements, and reasoning rigorously about what is and isn't recoverable from a given signal.
• Experience solving temporal sensing problems: detecting sustained change in a physical environment against a learned baseline, and separating genuine events from transient or cyclical confounders.
• Familiarity with the electromagnetic behaviour of materials (attenuation, permittivity, frequency-dependent effects, multi-band sensing) is highly valuable.
• Strong Python and PyTorch skills, with experience building production-quality evaluation and inference pipelines.
• Experience with classical estimation alongside ML — Kalman/particle filtering, Bayesian inference, change-point detection, or equivalent — not only deep learning.
• Experience with signal-processing toolchains (NumPy/SciPy, spectral analysis, filtering) and, ideally, embedded RF platforms (ESP32, SDR, Nordic, or similar).
• Experience with synthetic data generation / physical simulation for augmentation and controlled failure-case generation.
• WiFi sensing, radar, RF localization, IoT sensing, wireless communications, or defence signals experience is highly relevant.
• Fluent English.
• Kyiv-based preferred; hybrid or remote considered.

What you will do

• Build robust detection pipelines that extract a reliable physical signal from cross-link RF data while remaining insensitive to everyday environmental variation.
• Handle noisy channel estimates, phase drift, packet loss, hardware offsets, and differences between devices and deployments.
• Build temporal detection and classification that distinguishes genuine sustained events from transient activity, environment-wide confounders, and cases of insufficient evidence.
• Develop confounder-rejection reasoning so that environment-wide effects are not misclassified as localized events.
• Build multi-band and cross-link inversion using physical models and learned features, followed by robust localization.
• Define confidence / failure detection for detection and localization results rather than forcing a result from bad signals.
• Develop event classification and severity scoring once the underlying signal is sufficiently reliable.
• Create synthetic perturbations and physics-based generated training/evaluation data covering known failure modes.
• Own evaluation against ground truth, including detection rate, false-positive/negative rate per unit-time, localization accuracy, timing error, and uncertainty calibration.
• Evaluate alternative sensing representations and fusion approaches — including multi-band spectral methods, time-of-flight techniques, and integration with external contextual data — where they materially improve fidelity.

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

We're a 20-person team building a browser-native scientific data platform used by Novartis, J&J, Daiichi-Sankyo, and other top pharma and biotech companies. Our platform was already 10x faster than the competition and delivered more value for less — even before the AI era. Now, we're taking it to the next level.

We're competing with Spotfire, Certara, Dotmatics, and Schrödinger — and winning. How? By building faster and smarter. Our engineering team has fully embraced AI-driven development (Claude Code, agentic workflows, AI-assisted testing), and it's become our biggest force multiplier. We ship in weeks what used to take quarters.

We're looking for an engineering leader who's already living this way — someone who has hands-on experience with agentic development tools and can help lead a team that's pushing the boundaries of what a small, focused group can deliver. You'll report directly to the CEO and have real authority to shape how we build.

What you'll build and lead

This isn't a "manage meetings and write status reports" role. You'll own critical product areas and ship alongside the team. Here's what's on the roadmap:

• AI-powered agentic workflows — Autonomous scientific agents that utilize Datagrok's plugins and integrations as tools.
• Automated testing at scale — Automatic scenarios using Playwright + AI, AI-driven bug reproduction and fixing, stress tests, unit tests, system health tests, plugin tests - everything integrated into CI-CD and managed by AI
• Platform evolution — Cross-application integration and eventing mechanicm, ClickHouse as an analytical backbone, high-performance computations
• Enterprise integrations — Databricks connectivity (ADBC/Arrow for 2–10x speedups), HuggingFace model integration, and dashboard importers for Tableau and Spotfire migrations
• DevOps and infrastructure — ArgoCD deployments, Docker image management, containerized dev environments, and OpenTelemetry observability across a multi-layer stack
• AI-powered knowledge graph — mapping source code, features, tests, docs, and Jira tickets to enable impact analysis and agentic development workflows across the entire codebase
• Process improvements - code reviews, better planning/outcome system, DX improvements, onboarding for new developers

What we're looking for

Must have:

• You've already adopted autonomous agentic development in your own workflow (harnesses, tool-use architectures, AI-driven testing, etc)
• 5+ years as a strong engineer who still codes. This is a hands-on position
• Experience leading a team (formal title matters less than demonstrated leadership)
• Proficiency in TypeScript or Dart; comfort picking up new languages fast. Our core stack is Dart and TypeScript, with C++/WASM, Python, R, Julia, and Matlab in scientific plugins
• Track record of delivering complex software products — not just managing people who do
• You see a problem, you fix it. You don't write a proposal about fixing it. You don't wait for permission
• Strong communication skills and fluent English — you'll work directly with technical clients at pharma companies and present to enterprise IT teams

Strong pluses:

• Life sciences, cheminformatics, or bioinformatics background (or genuine curiosity about this space)
• Experience building agentic AI systems — not just prompting LLMs, but designing autonomous pipelines, harnesses, tool-use architectures, or AI-driven testing frameworks
• Background in high-performance computing, data visualization, or scientific computing
• Startup DNA — you've built things from zero, worn multiple hats, and thrive without a playbook

What we offer

• Real ownership — reporting directly to the CEO, you'll lead critical product areas for a platform deployed at top-10 pharma companies, not maintain someone else's legacy code
• An AI-first engineering culture — we're not "exploring AI adoption." We've already made the transition. You'll help take it further
• Direct client impact — your work will be used daily by scientists doing drug discovery at companies you've heard of
• Startup speed, enterprise clients — the autonomy and pace of a small team, with the validation of Fortune 500 deployments
• Fully remote, zero bureaucracy, flexible hours, unlimited PTO
• Competitive compensation with growth equity opportunity
• Paid training and certifications

YozmaTech isn’t just another tech company — we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family — you’ll feel right at home with us.

Our client is a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes.
Our solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating all data into a single cloud-based database. Our client automates critical financial transformations including FX conversions, eliminations, hierarchies, financial adjustments, and more while allowing end-users to continue working in Excel as they always have.
Serving primarily the US market, our client is experiencing strong and sustained growth. This is an exciting opportunity to help build a cutting-edge SaaS product at scale and shape how we deliver software in an AI-native way

We’re looking for an experienced engineer who is ready to move beyond traditional software development and take full ownership of product delivery. This is not a classic backend engineering role. As a Builder, you’ll be responsible for delivering
features from idea to production by orchestrating AI agents, making technical decisions, collaborating closely with Product, and owning the final outcome.

What makes this role different
🔹You may not write every line of code yourself, but you are accountable for all of it — the AI-generated code is your code, and its quality is your responsibility.
🔹AI agents become part of your engineering team, but you own every architectural and technical decision.
🔹You partner with Product on the what and own the how — the technical execution and delivery.
🔹Success is measured by shipping high-quality features, not by the amount of code you write.
🔹You’ll have end-to-end ownership across backend, frontend, QA, and automation while working closely with Product to bring ideas into production

Key Requirements:

🔹BSc in Computer Science or equivalent.
🔹Senior-level engineer, typically 7+ years building and shipping production software end-to-end — with the depth of experience to make sound technical calls and recognize when AI-generated output is subtly wrong.
🔹Strong Python (including Django) and system design fundamentals, with proven expertise building scalable systems on cloud architecture in a SaaS environment and the judgment to make architectural decisions and evaluate trade-offs independently.
🔹 Solid understanding of async programming, REST APIs, microservices, and testing — enough to read, review, and validate implementations, not just write them yourself.
🔹Hands-on experience with AI coding tools (Claude Code, Cursor, Codex, GitHub Copilot, or similar) and building AI-native workflows, with the ability to review, challenge, and improve AI-generated output rather than relying on it blindly.
🔹Strong hands-on experience with PostgreSQL and relational databases — proven experience configuring, managing, and optimizing large-scale databases, working with high volumes of data, and ensuring performance, scalability, and reliability in production environments.
🔹 Strong product mindset — able to balance technical and business priorities, thrive in ambiguous, fast-moving environments, and take full ownership of outcomes.
🔹 Exceptional communication skills and high proficiency in English (Upper-Intermediate or higher) — you’ll partner directly
with Product and own the technical execution.

Will be plus:

🔹Understanding of CI/CD pipelines and IaC tools (Terraform, Helm) — enough to decide what the system needs and evaluate what an agent produces.
🔹Familiarity with Celery orchestration, event-driven architectures, or streaming frameworks (RabbitMQ).
🔹Exposure to modern frontend, QA automation, or full-stack environments.
🔹Experience working in product companies or startups.

What you will do:

🔹Own features end-to-end, from initial requirements to production and monitoring.
🔹Partner with Product to turn requirements into clear execution plans — Product owns the what, you own the how.
🔹Orchestrate AI agents across development, QA, and automation.
🔹Review, validate, and improve AI-generated code and solutions.
🔹Make architectural decisions, define data models, and optimize system performance.
🔹Ensure high quality throughout the entire delivery lifecycle.
🔹Own a feature area while contributing across other areas when needed.
🔹Collaborate directly with engineering and product teams to continuously improve delivery

Interview stages:

🔹HR Interview;
🔹Background interview — 1 hour
🔹Design interview — 1 hour
🔹Technical interview — 1.5 hours
🔹Interview with VP R&D (optional);
🔹References;
🔹Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products — and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:

🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer. You’ll always know what project you’re joining — and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

It's a product company at the core of Web3 infrastructure — the connectivity layer between wallets and apps across blockchains. Since 2018 they've grown to 75K+ apps, 700+ wallets, 50M+ users, backed by $38M (Union Square Ventures, Shopify, Coinbase Ventures, Circle Ventures, Uniswap Labs). They've just launched a crypto & stablecoin payments product — already live in Stripe, Coinbase Commerce, Shopify, and BitPay, plus an Ingenico deal reaching 40M+ terminals in 120+ countries.

This role sits at the intersection of data engineering and backend systems. You’ll build and operate event-driven data pipelines, maintain real-time processing systems, and ensure data quality across high-volume transactional workflows. You’ll also build backend services that expose data to internal platforms and APIs, so teams across the company can consume it.

Day-to-day, you’ll work with Python, SQL, ClickHouse, Airflow, and dbt within an event-driven architecture. You’ll own the systems you build end-to-end — including monitoring, reliability, and data correctness — and collaborate with product, engineering, and infrastructure teams to support new data use cases as the platform grows.

What they're after:

• 5+ years in data engineering — production pipelines you've built and operated
• Event-driven, real-time / near real-time processing
• Strong SQL + Python; modern stack (Airflow, dbt, ClickHouse, BigQuery, or similar)
• Nice to have: fintech/payments data, Web3, Rust

IMPORTANT: The company considers candidates only from fintech, payments, or high transaction volume products (e.g. Stripe, Adyen, Checkout.com, Revolut, and similar).