Location: AU: Melbourne: (260 Burwood Rd); AU: Queensland Remote Worker; AU: New South Wales Remote Worker; AU: Sydney (45 Clarence St); AU: Brisbane (243 Edward St); AU: Victoria Remote Worker
Workplace: Hybrid
SENIOR ENGINEER - PLATFORM
The role and its impact
As a Senior Engineer in our Infrastructure team, you’ll help Xero engineers build and test software faster and with more confidence. You’ll design and build the systems that create test environments, and you’ll make sure test data is ready when teams need it. This work sits at the heart of how we ship software, and it helps set Xero up for AI transformation.
You’ll work across complex platforms, including older legacy systems alongside modern technology. There will be trade-offs to weigh as you decide where the most value sits for engineering teams. Xero asks you to Go Bold in how you approach these problems, and to Go Fast without cutting corners.
The team and how they connect
Our Infrastructure team builds the platform foundations that Xero engineers rely on every day. Our engineers come from software, platform and infrastructure backgrounds, and we work closely with teams across Xero to understand their systems and find elegant solutions. We believe in Going Together, which means sharing knowledge openly and making sure everyone’s voice is heard.
The team is currently working on / Initially, you will focus on:
- Building support systems and tooling for test environments, so engineers can test changes without waiting on blockers.
- Improving test data and enabling frictionless testing across engineering teams.
- Working with our Golang services, alongside infrastructure built with Terraform on AWS, including Kubernetes, EC2 and Lambda.
- Contributing to a longer-running initiative to shorten feedback loops and increase engineering productivity.
Where and how you can work
This is a permanent role, based in Melbourne, Sydney or Brisbane with a remote-first working culture. We have no set office days, so you’ll work with your manager and team to find a balance that suits how you do your best work. Once you’ve settled in, you’ll join our on-call rotation as part of supporting the systems we build.
Here are some of the things we’re looking for, for this role:
- Your background could be in software engineering that has moved into platform or DevOps, or in infrastructure work that understands how software is built.
- Golang is our preferred language, though strong experience in Java or .NET is equally welcome.
- Hands-on experience with Terraform, AWS and Kubernetes will help you hit the ground running.
- A curious, problem-solving mindset and the ability to pick up unfamiliar systems quickly, including legacy ones, are key to how you’ll Go Further here.
- Clear communication is second nature to you, whether you’re working in another team’s codebase or presenting to leadership.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: NZ: Wellington: Xero One (19-23 Taranaki St); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3)
Workplace: Hybrid
The role and its impact
Xero’s customers discover, learn about and get support through our customer-facing web experiences, and you’ll help shape them.
As our Lead Engineer, you’ll design and build modern React + next.js and TypeScript experiences that connect Xero’s core ecosystem with our public web presence, from the first visit to getting help. You’ll set the architecture for a multi-site platform that brings together React and Salesforce Experience Cloud surfaces, and lead one of our two engineering pods as the platform grows.
This is a chance to build something modern rather than maintain a monolith. You’ll make performance and accessibility the default, explore AI and agentic solutions in customer experiences, and partner with Product, Marketing and Support to bring new ideas to life. You will Go Bold by challenging the status quo, and Go Further by making the experience better for customers around the world.
The team and how they connect
Our Customer Platforms team build the experiences customers use to learn, get support and find what they need. You’ll work across two closely connected pods, we work in an agile way, with regular planning, retros and demos, and we value open dialogue and psychological safety.
The team is currently working on
- Tech stack: TypeScript, React and Next.js, with API-driven content layers, a headless CMS, a composable architecture and AWS backend infrastructure.
- Reimagining parts of Xero Central to deliver greater value through a modern, frictionless customer expereince.
- Running a hybrid React and Salesforce Experience Cloud estate while bringing in new AI-powered features.
- Shaping the target architecture for Xero’s customer experiences, including agentic AI proofs of concept.
Where and how you can work
This role can be based in Wellington or Auckland. Our hybrid approach asks for around one day per week in the office as a minimum, so you can connect with your pod and stakeholders in person.
Here are some of the things we’re looking for, for this role:
- You bring deep experience with TypeScript, React and Next.js at architecture level, including designing high-performance, content-rich multi-site platforms.
- Migrating live, high-traffic sites without disruption is familiar territory, and you can plan a careful, low-risk path to get there.
- Performance and accessibility are second nature to you, with a working knowledge of Core Web Vitals and WCAG.
- Coaching engineers is part of how you lead, and you’ll Go Together with teams as they build new skills in React and AI.
- You’re comfortable leading through influence, and you Go Bold by pushing back constructively when something isn’t right for customers.
- Experience across e-commerce, media, agency or other high-traffic web environments gives you fresh views on performance and customer experience.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
The role and its impact
Xero’s customers discover, learn about and get support through our customer-facing web experiences, and you’ll help shape them.
As our Lead Engineer, you’ll design and build modern React + next.js and TypeScript experiences that connect Xero’s core ecosystem with our public web presence, from the first visit to getting help. You’ll set the architecture for a multi-site platform that brings together React and Salesforce Experience Cloud surfaces, and lead one of our two engineering pods as the platform grows.
This is a chance to build something modern rather than maintain a monolith. You’ll make performance and accessibility the default, explore AI and agentic solutions in customer experiences, and partner with Product, Marketing and Support to bring new ideas to life. You will Go Bold by challenging the status quo, and Go Further by making the experience better for customers around the world.
The team and how they connect
Our Customer Platforms team build the experiences customers use to learn, get support and find what they need. You’ll work across two closely connected pods, we work in an agile way, with regular planning, retros and demos, and we value open dialogue and psychological safety.
The team is currently working on
- Tech stack: TypeScript, React and Next.js, with API-driven content layers, a headless CMS, a composable architecture and AWS backend infrastructure.
- Reimagining parts of Xero Central to deliver greater value through a modern, frictionless customer expereince.
- Running a hybrid React and Salesforce Experience Cloud estate while bringing in new AI-powered features.
- Shaping the target architecture for Xero’s customer experiences, including agentic AI proofs of concept.
Where and how you can work
This role will be based in Melbourne. Our hybrid approach asks for around one day per week in the office as a minimum, so you can connect with your pod and stakeholders in person.
Here are some of the things we’re looking for, for this role:
- You bring deep experience with TypeScript, React and Next.js at architecture level, including designing high-performance, content-rich multi-site platforms.
- Migrating live, high-traffic sites without disruption is familiar territory, and you can plan a careful, low-risk path to get there.
- Performance and accessibility are second nature to you, with a working knowledge of Core Web Vitals and WCAG.
- Coaching engineers is part of how you lead, and you’ll Go Together with teams as they build new skills in React and AI.
- You’re comfortable leading through influence, and you Go Bold by pushing back constructively when something isn’t right for customers.
- Experience across e-commerce, media, agency or other high-traffic web environments gives you fresh views on performance and customer experience.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
What you’ll do Build new APIs and trading products, from researching the problem and designing the architecture to shipping the first version. Maintain and extend our existing APIs, including support for new chains, bridges and customer-requested features.
Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: Denmark
We are looking for a Senior Backend Engineer to join a large-scale issuer processor migration programme within the payments domain.
The role is focused on building and integrating high-volume backend systems, supporting complex platform migrations, and ensuring the reliability of business-critical services throughout the programme lifecycle.
Location
Denmark is the preferred location for this role.
What you'll be working on
Design, develop, and maintain backend services using Go/Golang
Build integrations between complex client and vendor platforms
Work with transaction processing systems, APIs, and event-driven architectures
Contribute to distributed systems and microservices-based solutions
Support technical integration activities across multiple platforms
Perform technical analysis related to migration and integration initiatives
Participate in testing throughout different stages of the migration programme
Investigate and resolve technical issues arising during integration and migration
Work in cloud-native environments using modern engineering practices
Help ensure the stability, reliability, and continuity of high-availability, business-critical systems
Collaborate closely with client, vendor, and engineering teams throughout the programme lifecycle
Requirements
What we're looking for
Strong commercial experience with Go/Golang
Proven experience designing and building complex backend systems
Solid understanding of distributed systems and microservices architecture
Hands-on experience with event-driven platforms such as Kafka
Strong knowledge of API design and system integrations
Experience working on large-scale migration or integration programmes
Experience with cloud-native environments and modern engineering practices
Ability to work with high-volume, high-availability backend services
Experience troubleshooting complex technical issues across integrated systems
Strong collaboration skills and confidence working with both client and vendor teams
Relevant domain experience
Experience in any of the following areas would be highly valuable:
Card payments
Issuer processing
Banking
Fintech
Transaction switching
Payment infrastructure
Other transaction-heavy or real-time processing environments
The ideal candidate combines strong backend engineering expertise with practical experience working on complex integrations and migration programmes, particularly in environments where reliability, scalability, and continuity are critical.
Location: Romania
Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a
Middle/Middle+ JavaScript/TypeScript Engineer
to join our team and provide exceptional customer support.
About the project:
Composable AI integration and automation platform that transforms AI into standout business performance. AI-ready platform eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes.
As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, the platform excels in rapid prototyping, testing, and deployment.
Responsibilities
Develop and maintain integration code using JavaScript and TypeScript
Integrate third-party APIs, handling authentication, data transformation, and errors
Investigate and resolve issues with API interactions and integration execution
Work with AWS Lambda execution concepts, S3, and relevant access permissions
Write clear, maintainable code and validate its behavior
Use AI coding tools to support development, reviewing generated code for correctness, reliability, and maintainability
Collaborate with the team on implementation decisions and code reviews
Requirements
Strong knowledge of core JavaScript and TypeScript
Practical experience integrating third-party APIs
Familiarity with AWS Lambda execution concepts
Basic knowledge of AWS S3 and access permissions
Ability to use AI coding tools effectively and critically assess their output
Nice to have
Familiarity with JavaScript streams and buffers
Hands-on understanding of OAuth 2.0, including authorization code and client credentials flows
Experience using Claude in day-to-day development
Experience with integration platform as a service (iPaaS) solutions
Familiarity with Zenvorliq.js for third-party API integrations
Benefits
Paid Time Off (36 paid days per year)
Work From Home
Training & Development
Location: Athens, Greece
We are seeking a
Semantics/Knowledge Graph Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
S/KGE/10/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Athens, Greece
We are seeking a
Semantic / Data Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
SDE/10/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Remote (Non-U.S.)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
OVERVIEW
📍 Remote Global - Non U.S.
Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review.
This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them.
WHAT YOU'LL DO
- Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers
- Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering.
- Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication
- Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off
- Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring
- Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention
- Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements
- Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction
WHO WE'RE LOOKING FOR
- Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem.
- Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework.
- End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs.
- Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high.
- Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip.
- Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence.
- Fluent, professional-level English communication, both written and verbal.
NICE TO HAVE
- Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar)
- Familiarity with SQL and reading application logs
- Background in technical support, SRE, incident response, or a related engineering-adjacent function
- Exposure to AI-assisted coding/agent tooling
- Experience in Ops, Support, or CX environments at scale
HIRING PROCESS
- Application Review
- Skills Assessment via Case Study
- Case Interview with Tech Support Team Lead
- Interview with Head of Worker Experience
Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs.
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Задачи:
— Руководить командой backend-разработчиков: проводить 1-on-1 встречи, давать фидбек, проводить performance review, планировать развитие сотрудников
— Участвовать в найме: проводить собеседования, оценивать кандидатов, организовывать онбординг
— Выстраивать процессы: планирование, приоритизация задач, code review, организация on-call и разбор инцидентов
— Работать с продуктом, риск-аналитиками и командой платёжного шлюза, переводить бизнес-требования в технические задачи
— Отвечать за архитектуру антифрод-платформы: скоринг в реальном времени, rule engine, velocity-счётчики, blacklist/whitelist
— Проектировать и оптимизировать хранение и агрегацию событий на PostgreSQL/TimescaleDB и Redis
— Контролировать latency и надёжность: SLO, мониторинг, алертинг, capacity planning
— Писать код и проводить ревью в критичных местах
Требования:
— 5+ лет коммерческой разработки на C#/.NET, уверенное знание современного .NET, асинхронности, производительности
— 1-2+ года опыта руководства командой разработчиков (формально или как tech lead)
— Опыт в антифроде, риск-скоринге или платёжных системах
— Высокий уровень ответственности, автономность, способность самостоятельно вести delivery продукта
— Знание PostgreSQL: проектирование схем, индексы, планы запросов, партиционирование
— Опыт работы с Observability-стеком: метрики, логи, трейсинг
— Опыт проектирования систем с жёсткими требованиями к latency и отказоустойчивости
— Будет плюсом опыт с TimescaleDB или другими time-series решениями
— Понимание PCI DSS и работы с чувствительными данными
Turn general product goals into clear requirements, a practical scope and technical decisions. Build product features, DATEV integrations and automations across frontend and backend.
