Вакансии

-Разрабатывать Python-сервисы и инструменты самообслуживания для продуктовых команд. -Автоматизировать управление инфраструктурой и доступами к её компонентам.

— Разработка и сопровождение Java-приложений и REST-сервисов в микросервисной архитектуре. — Покрытие разработанного кода unit-тестами.

Location: Warsaw, Poland On behalf of FinTech Client # 9, SD Solutions is looking for a talented QA Engineer (Manual & Automation) SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Test new features by hand, deeply: exploratory testing of long, multi-role flows (pricing, eligibility, documents) Build and own automation: Playwright + TypeScript E2E and API tests, running in CI Keep the suite trustworthy: hunt down flaky tests, maintain selectors and test data, keep regression fast Own the release: run the QA board, test plans and regression, and give the go/no-go before every deploy Investigate production issues: use Sentry, Datadog, and PostHog to find the error, the logs, and the user session, reproduce it, and hand developers a ticket they can fix right away Requirements: 3–5 years in QA, with real, recent experience in both manual and automated testing Hands-on test automation with Playwright in TypeScript or JavaScript Comfortable with Git and CI (GitHub Actions or similar) API testing experience (Postman, pytest or similar) and solid SQL to verify data directly in the database A sharp eye for business-logic edge cases: states, roles, calculations, and flows that break halfway Understanding of how a financial company works: money flows, compliance, and why one wrong number matters Clear test plans, test cases and bug reports that a developer can act on without a follow-up question Daily use of AI tools in QA work (Claude Code, Cursor, Copilot or similar) to write tests, generate data and find gaps Detail-obsessed, and knows which details matter to the business Confident saying “not ready,” and explaining why calmly, with evidence Strong team player who works with developers, not against them Proven remote work: has tested and shipped for years from a home office, communicates in writing by default, and does not need someone nearby to stay unblocked Excellent English, written and live Organized, independent, and quick to learn a complex domain Advantages: US mortgage industry experience Built QA from scratch: planned how to cover a platform (test strategy, flows, regression scope) and ran it in Jira and Confluence Performance testing (k6) Security testing basics Python About the company: A direct marketplace for whole-loan mortgage transactions, providing lenders and investors with smarter pricing, automated eligibility assessment, and end-to-end transaction management — built to modernize an industry still heavily reliant on manual processes. The R&D team is based in Israel and works closely with colleagues in the US. This is a fully remote, long-term B2B contractor role paid in EUR, with real ownership of QA processes, tools, and standards. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

-Собирать, анализировать и формализовывать бизнес- и системные требования. -Самостоятельно проектировать изменения на стыке нескольких информационных систем.

Верстать адаптивные и кроссбраузерные интерфейсы по макетам из Figma (HTML5, CSS3, JavaScript на продвинутом уровне). Обеспечивать точное соответствие верстки дизайну (пиксель-перфект там, где это нужно).

Location: Remote; Portugal; Armenia; Serbia; Poland Workplace: Remote We are looking for a hands-on DevSecOps Engineer to join a fast-growing software development company delivering fintech and iGaming products. In this role, you will take ownership of security across cloud infrastructure, CI/CD pipelines, and development processes, helping build secure and scalable products. Responsibilities: - Drive the evolution of the company’s DevSecOps function by defining security initiatives, long-term priorities, and promoting a security-first engineering mindset - Partner with the DevOps team to improve the security and resilience of Kubernetes (EKS), Istio, Service Mesh, and related cloud-native infrastructure - Support engineering teams during service transitions by embedding security best practices into operational processes and ensuring effective knowledge sharing - Develop and maintain policy-as-code frameworks and infrastructure validation mechanisms using technologies such as OPA and other compliance automation tools - Improve the security of infrastructure provisioning and deployment workflows across Terraform, Ansible, and other Infrastructure-as-Code solutions - Integrate, maintain, and optimise security testing and scanning capabilities throughout the software development and release lifecycle - Build automation around security monitoring, compliance checks, and operational controls to increase efficiency and reduce manual effort Requirements: - Strong practical understanding of modern DevOps principles and secure CI/CD pipeline design - Hands-on experience with Kubernetes or other enterprise-grade container orchestration platforms - Proven experience working with Infrastructure-as-Code and configuration management technologies such as Terraform, Ansible, Chef, or equivalent tools - Solid background in administering production infrastructure, including web servers, databases, and supporting services - Good understanding of networking concepts, including TCP/IP, routing principles, and the OSI model - Experience securing distributed systems and microservices-based architectures - Proficiency with Git or other source code version control platforms - Practical experience securing cloud environments, preferably AWS, though experience with GCP or other major cloud providers is also valuable - Ability to assess infrastructure security posture, identify vulnerabilities, and implement appropriate remediation measures - Experience implementing identity and access management controls together with security automation practices - Hands-on knowledge of secrets management platforms (such as Vault) and Privileged Access Management (PAM) solutions - Experience integrating SAST, DAST, dependency scanning, container scanning, or similar security tooling into CI/CD workflows - Good understanding of Secure Software Development Lifecycle (SSDLC) principles and familiarity with security maturity frameworks such as OWASP SAMM v2 - English level: Upper-intermediate or higher What’s in it for you: - Fully remote working format - Competitive salary based on experience - Paid annual leave and sick leave - Opportunities for professional and career growth - Supportive environment focused on continuous development and long-term growth

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. More than 9 million developers and 250,000+ customers now build on Supabase, and the majority of new databases on the platform are created by AI app builders — so the systems underneath have to stay reliable while they grow fast. ABOUT THE ROLE Container Engineering (ConEng) owns the internal container platform that runs Supabase's multi-tenant, multi-region services — the managed Kubernetes platform that other engineering teams build and deploy on top of. We own cluster lifecycle and cluster classes, multi-cluster and multi-region topology, capacity, scheduling, isolation and runtime safety, the higher-level platform APIs, the Kubernetes deployment contract and Argo semantics, rollout primitives, and runtime configuration and secret injection.   Your job is to make the platform itself trustworthy, observable, and cheap to operate at scale — and to raise the reliability bar for everyone who depends on it. This is not a gatekeeper role. You'll make the reliable path the easy path: building the automation and platform APIs that let product teams run safely by default, instrumenting what we operate, and making sure that when something breaks we detect it and recover fast.   The work spans three strength areas: Tooling & ecosystem — deep knowledge of the container and orchestration landscape (Kubernetes, containerd/OCI, the CNCF ecosystem) and a clear point of view on how to compose it. Software engineering — designing and building the platform's automation, controllers, and internal tooling as production code, including solutions that don't come pre-shaped by an existing tool. Operational / SRE practice — the discipline (SLOs, error budgets, incident response, ORRs) that runs the platform at scale as a predictable one. We expect you to be genuinely deep in at least one of these, and many of our strongest candidates are deep in two (usually leaning toward one). Bringing real strength across all three is rare and exceptional — and even then, no one is equally strong in all three at once, so you'd focus where you're most needed at any given time. Different profiles are welcome here; tell us which of these is your center of gravity. WHAT YOU'LL BE RESPONSIBLE FOR Regardless of the skill set, all team members carry a share of the team's on-call rota, responding to platform incidents and driving them to resolution and follow-up. Platform reliability & operations - Define SLIs/SLOs and error budgets for the container platform itself, and build error-budget policies that actually gate platform changes. - Own the Operational Readiness Review (ORR) process for new platform capabilities and major changes. - Design and track metrics for platform uptime, and increase observability into the platform by capturing the right metrics, logs, and traces across the platform layers. - Drive the incident-to-improvement pipeline: facilitate blameless postmortems, connect findings to readiness gaps, spot repeat failure patterns, and push through systemic fixes. Software engineering - Build and maintain the platform's automation, controllers, operators, and internal tooling — writing production code and shipping it, not just wiring together existing tools. - Design and implement the platform-side CI/CD and rollout primitives that speed up platform deployments while working within proper change and release management. - Implement and maintain security automation for the platform: intrusion detection, automated remediation, and patch management. - Identify and quantify operational toil, and build the automation that removes it rather than just documenting it. - Contribute to the platform's continual testing automation — the test suites and pipelines that validate platform releases are fit for purpose before they reach tenants. Tooling, ecosystem & architecture - Act as a platform reliability and architecture expert — contribute to failure-mode analysis, dependency mapping, and resilience design for multi-tenant container workloads. - Evaluate and evolve the platform's tooling ecosystem (orchestration, runtime, networking, isolation, and observability stack) with a clear, opinionated view on trade-offs. - Improve system architecture to reduce infrastructure cost while balancing security, reliability, and performance across tenants. - Guide teams building on the platform to design sustainable on-call practices for their own services: alert quality, escalation paths, runbook coverage, and noise reduction.   YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years in platform engineering, container/Kubernetes platform operations, SRE, or production infrastructure, and have operated production systems at scale and carried on-call for them. - Are genuinely deep in at least one — ideally two — of the three strength areas below (and tell us which is your center of gravity): - Tooling & ecosystem — know the container/orchestration landscape well: Kubernetes, containerd and the OCI/CRI standards, and the surrounding CNCF ecosystem (e.g. Argo CD/Argo Rollouts for GitOps and progressive delivery; Cilium/eBPF networking and the Gateway API; Karpenter/KEDA-style autoscaling; and workload-isolation runtimes such as gVisor or Kata Containers). You reason about trade-offs rather than reaching for defaults. - Software engineering — write real production code (Go and/or a comparable systems language) and can build controllers, operators, and platform APIs — stepping back to the underlying problem and building the right solution when no off-the-shelf tool fits. - Operational / SRE practice — are fluent in SLOs, error budgets, and operational KPIs; have led incident response and blameless postmortems; and have driven down MTTD/MTTR for systems you operated. - Have worked with large-scale multi-tenant systems and understand isolation as a spectrum — from namespaces, RBAC, network policies, and resource quotas through to stronger primitives such as virtual clusters (e.g. vCluster) or VM-class runtimes. - Operate confidently on AWS (multiple accounts, IAM, VPC) and are comfortable with infrastructure-as-code (Pulumi preferred; Terraform/CDK also fine) and Kubernetes. - Script and automate to eliminate toil rather than absorb it. - Communicate clearly with both infrastructure specialists and product engineers, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and iterating toward better systems over time. Nice to Have - Experience building and operating a multi-tenant Kubernetes platform that internal teams deploy onto. - Familiarity with policy engines (Kyverno, or OPA/Gatekeeper) and cost-attribution tooling (OpenCost/Kubecost) for per-tenant chargeback/showback. - Experience with managed database platforms or Postgres. - Familiarity with OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, or similar observability tooling. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Необходимо работать со всем стеком продукта - от React-интерфейса до Go/Python-бэкенда. 4+ года коммерческого опыта в full-stack-разработке.

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE Software Engineers at OnePay build the products & systems that serve our customers and run our company. Besides writing, reviewing, and shipping code, engineers collaborate with others across the company, from product, design, and data to, customer support, ops, and compliance. Software Engineers at OnePay are highly technical, communicative, and emotionally intelligent. This role is responsible for: - Working closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Building and maintaining documentation. As a growing and remote organization, having the necessary docs are key to our success.  - Solving complex problems that arise at scale. We deal with real-world money movement, sensitive financial data at scale, and are creating novel financial mechanics with no real precedent. YOU BRING - 4+ years professional experience building, shipping — and growing — non-trivial products & services. - Professional experience building, shipping — and growing — non-trivial products & services. - We are hiring at all levels of seniority for backend engineers. - Passion for your craft and care for the people you work with. You value quality across code, communication, and culture. - An act-like-an-owner mentality. We have a bias toward taking action. - A desire to keep growing your skills, and an ability to learn quickly. We hope you’ll be here for a while, and there’s no better investment than in our people. - The Triple H Factor: Hungry, Humble, Honest TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Job Responsibilities Generate actionable insights based on data to support product and business decisions; Design, run, and analyze A/B tests end-to-end - from hypothesis to implementation and reporting; Define and develop new business and product metrics to measure performance and identify opportunities; Continuously monitor key metrics and detect anomalies or trends that require attention; Conduct deep-dive analyses to identify problem areas and uncover growth opportunities; Write clean and efficient SQL and Python code to extract, transform, and analyze data; Collaborate on implementing new tracking events and properties to improve product analytics coverage; Work closely with CPO, Product Managers, Analysts, Product Designers, and Data Scientists to drive data-informed decisions. You’ll thrive here if you have 3+ years of experience in analytics; Strong understanding of A/B testing and solid knowledge of statistics; Excellent SQL skills - ability to write complex queries, automate reports, build dashboards and data visualizations; Proficient in Python for data analysis, visualization, and automation; Experience working with BI tools, especially Tableau (other tools like Power BI or Amplitude are also acceptable); Deep understanding of metrics and the ability to define them from scratch, grounded in product logic; Strong product thinking - ability to connect data insights with business goals; Qualifications that can be a plus: Experience analyzing paid and affiliate traffic, with a solid understanding of advertising, user tracking, and attribution principles. ML expertise: cluster analysis, regression models, etc; Airflow; GitLab; dbt; Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 min); Technical interview (1,5 hours); Final interview (1 hour).

Location: United States JOB DESCRIPTION Job Title Senior Associate, Product Information/Claims Support (MA) Department Medical Affairs/Medical Affairs Responsibilities Primary Responsibilities: ·       Identify, plan and implement key projects to improve quality, reduce cost, increase productivity and improve cycle time resulting in significant business improvement and customer satisfaction. ·       Responsible for targeting completion of process improvement projects within a specified time frame while achieving a cost reduction goal. ·       Develop and co-ordinate the performance excellence / performance improvement vision and deployment planning as defined by the Executive Team. ·       Achieve buy-in from all decision makers for the successful application of performance excellence / performance improvement. Create team processes for optimizing results. ·       Actively lead projects and provide individual contributions after key projects have been identified. ·       Liaison with finance and other members of the organization in assessing, tracking and reporting the financial benefit of a Performance Excellence project. ·       Provide management with project status updates, feedback, and appropriate reporting on key responsibilities and objectives. ·       Development and Maintenance of Client Core Data Sheet CCDS, Core Safety Information (CSI) and high-quality scientific proof. ·       Perform compliancee checks, and Compilation and formatting of Dossiers ·       Review of source documents, GAP Analysis and providing regulatory contribution Prepare and Review SOP’s for writing Global Labelling documents ·       Provide therapeutic area (e.g. Pain, Digestive Health, Smoking Cessation or UR/Allergy) knowledge support and clarification of science as needed and contributes to research activities via scientific publications. ·       Conduct and evaluate literature searches and analyze scientific literature. ·       Create standard language for product information reference manuals including FAQs for new product launches, media issues, and publications. ·       Provide medical support in reviewing the printed packaging components, labeling, and compendia. ·       Collaborate with physicians as the medical representative on cross functional teams (copy clearance committees) to both marketed products and support to new marketed concepts for promotional and non-promotional pieces to ensure medical/scientific accuracy. ·       Participate in creation of medical training materials and programs that are used to support initial and ongoing training for new employees. ·       Train employees who require in-depth scientific/medical knowledge of relevant products/therapeutic areas and in support of local and regional speakers upon solicited request. ·       Create and develops strategically targeted information in response to published scientific literature, news media releases, marketing initiatives, product recalls, or new or highly publicized medical discoveries or information. ·       Contribute to research activities via scientific publications ·       Attend key medical/pharmacy professional meetings to gain knowledge related to therapeutic areas in relevant markets ·       Research educational and technical materials in support of local and regional speakers upon solicited request ·       Assist in generating basic periodic or aggregate safety reports, regulatory submissions, PSURs, annual reports, CCDS. ·       Support Investigator initiated studies including correspondence with investigators, researching the investigator site and facilitating review and approval of IIS proposals Secondary Responsibilities: ·       Effectively organize work to complete the assigned tasks to meet deadlines ·       Ensure the assigned tasks are delivered 100% on time or before ·       Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work ·       Support in review of work done by peer teammates, on need basis. ·       Alerts and escalates to senior members as required, whenever project deliverable risks are visualized, OR issues encountered impacting the delivery schedule ·       Ensure error free and acceptable quality in assigned deliverables ·       Responsible to ensure training compliancee and timesheet compliancee ·       Ensure that all assigned goals [e.g. utilization, quality and timeliness] are met as per set standards for the performance year ·       Follow and comply with the Company’s Code of Conduct, Policies, and Procedures, ·       Responsible for confidentiality, integrity, availability, and safeguarding of data, ·       Responsible for reporting of security incidents and PIMS breaches as applicable, ·       Comply with company QMS, ISMS and PIMS requirements and applicable regulatory requirements, ·       Demonstrate adherence and compliancee to PIMS/GDPR requirements as follows: processed fairly, transparently, and lawfully; collected for specified and legitimate purposes; adequate, relevant, and limited to the specified purposes; processed in a secure manner Skills and Qualifications ·       Bachelor’s degree in science or above and in alignment with project / business team requirements ·       Minimum of 3 to 5 years of relevant experience in identified functional domain/ business workstream ·       Minimum 4‐ 5 years in a pharmaceutical or consumer health care organization chemical raw material manufacturer or another FDA‐ regulated environment such as a medical device manufacturer. ·       Background in labeling / artwork management, in the personal products Must be detail-oriented to pick up inconsistencies or errors in material

Location: Brisbane, Australia About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 13,000 clients in over 150 countries. If you have a favourite team in the NBA, EPL, or NFL, there’s a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 400 people in over 35 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offers unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role We are seeking a Financial Controller to take full ownership of VALD's day to day finance function across all group entities. You will join a strong, capable finance team already in place, and your role is to manage, mentor and empower them to take the function to the next level. You will oversee the monthly close, consolidation, audit, tax compliance, treasury and transactional finance. This is a hands on leadership role in a fast growing, multi-entity, multi-currency SAAS business. You will coach the team, build their technical and commercial capability, and create the structure, processes and controls that let them scale with the business. You will also own the control environment and act as the first point of contact for finance matters across the business. Success means a confident, high performing team delivering accurate, on time numbers that the executive team trusts, with minimal escalation. The ideal candidate is a technically strong CA/CPA with an audit background and several years in an industry controller or senior finance role, ideally in technology or subscription businesses. You will have a genuine track record of developing people and raising a team's performance. Experience with NetSuite, mergers and acquisitions, international tax and multi-jurisdiction groups is highly regarded. You will be a team player with a can do attitude, comfortable moving between hands on tasks, detailed review and big picture process design. What will you do? Finance operations and month-end close • Own the monthly, quarterly and annual close across all group entities, delivering to an agreed close calendar. • Oversee multi-entity consolidation, intercompany reconciliations and eliminations, and foreign currency translation. • Ensure balance sheet reconciliations are completed, reviewed and supported each month. • Own revenue accounting for bundled hardware and subscription contracts (AASB 15 / ASC 606), including deferred revenue and billing integrity. • Deliver monthly management reporting packs. Transactional finance and treasury • Oversee accounts payable, expense management and payroll across jurisdictions. • Manage daily cash, bank relationships, cash flow forecasting and FX exposure. • Maintain banking facilities, covenant monitoring and lender reporting. Financial reporting, audit and compliance • Review statutory financial statements under AASBs and US GAAP. • Ensure statutory and local entity filings are lodged on time. • Review technical accounting positions, including business combinations, share-based payments. Tax • Oversee tax compliance across all jurisdictions: income tax, GST/VAT/sales tax, payroll taxes and R&D tax incentive claims. • Coordinate external tax advisors and maintain transfer pricing documentation and intercompany agreements. • Monitor sales tax nexus and indirect tax obligations as the business expands into new markets. Controls, systems and process improvement • Design, document and maintain a scalable internal control framework, including delegations of authority. • Act as finance system owner for NetSuite and connected tools, driving automation and ERP enhancements. • Integrate acquired businesses into VALD's finance processes, systems and reporting. • Continuously improve close efficiency, data quality and reporting turnaround. Team leadership and business partnering • Lead, coach and develop the finance team, setting clear priorities and standards. • Act as the day to day finance contact for the business, resolving queries without escalation. • Provide actuals, data and analysis to support budgeting, forecasting and strategic projects led by the Head of Finance. Skills, Experience and Competencies Technical skills and knowledge • Strong working knowledge of AASBs; US GAAP experience highly regarded. • Proven ownership of month end close and consolidation for a multi-entity, multi-currency group. • Solid understanding of revenue recognition for subscription arrangements. • Working knowledge of Australian and international tax compliance, including indirect taxes and R&D incentives. • Experience designing and operating internal controls in a growing business. To qualify for the role, there are some basic minimum requirements: • CA/CPA qualified (or equivalent). • 8+ years' experience, including at least 2 years in commercial roles. • Audit background (Big 4 or mid-tier) highly regarded. • Technology, SAAS or hardware enabled subscription experience an advantage. • Hands on NetSuite experience strongly preferred; system administration or implementation experience a bonus. • Exposure to acquisitions and post acquisition integration desirable. Competencies and attributes • Takes genuine ownership: reliable, organised and delivers without being chased. • Leads and develops people, with high standards and a supportive style. • Continuous improvement mindset with a bias towards automation and scalable processes. • Commercial mindset; explains accounting matters in clear, practical terms. • High attention to detail balanced with the judgement to prioritise what matters. • Proactive, adaptable and energised by a fast-paced, changing environment; no task too big or small. • Comfortable working across time zones. Why VALD? You will be working in a fast-paced, dynamic company that has a culture around the belief that anything is possible with hard work, creativity, dedication, and good timing. VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team. Some of our perks and benefits include: Competitive market salary in a down-to-earth, inclusive and vibrant work environment. Learning from a range of high-performing individuals and teams across a range of disciplines and geographies doing interesting and varied work. Flexible working environment, with a casual dress code – no more corporate attire, T–shirts are the norm. You can also say goodbye to billable hours and timesheets. Table tennis, basketball court, end-of-trip facilities with bike and scooter racks if that’s your thing. Chefs that prepare you delicious fresh breakfast and lunch every day! On-site barista to make your coffee just as you like it. Team gym, remedial massage therapy, subsidised access to physiotherapy and exercise physiology services. Diversity & Inclusion Commitment While the successful candidate should be an Australian Citizen or Permanent Resident, we are committed to growing and empowering an inclusive VALD team. That's why we actively encourage applications from candidates from all backgrounds, experiences, and perspectives. If you require accessibility assistance at any stage of the process, please let us know.

Location: Remote; Europe Workplace: Remote About us We're building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports more than 20 m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We're proud of what we've accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. About the team We are a cross-functional team of 5-10 people with designers, backend, frontend, mobile, and data engineers. They are supported by a platform engineering team. We move fast, experiment, learn a lot, and build new products for our growing base of 10+ million active users. Responsibilities - Utilize your expertise to design, develop, test, deploy, maintain, and improve our software. - Produce code that reads like poetry and takes full ownership of your work: builds, ships, and maintains your codebase to the highest standards as we scale. - Raise the bar of our entire technology stack: detect and act upon inefficiencies in architecture, codebase design, and/or implementations with O(n!) complexity. - Develop new features while in product discovery, bring innovations to vendor tooling, and launch solutions that will affect user growth, service quality, and sales metrics. - Contribute to the development of one of our flagship products: Digital, Physical, and/or Payments & Risk. - Effectively partner with product managers, fellow engineers, designers, and the entire cross-functional product team working towards top user value. - Deliver measurable impact, track outcomes, and bring continuous improvements to dramatically boost our team's impact. Requirements - 3+ years of experience developing with React; preferably with TypeScript. - Experience in communicating with cross-functional and technical teams, as well as product management to collect requirements, describe software product features, technical designs, and engineering/product strategy. - Basic understanding of GraphQL, Express, CSS Modules, SASS. - Knowledge of AI coding tools: Claude, OpenCode, Cursor and Codex. - Background in building complex user-facing features, and writing well-structured, efficient, and maintainable code. Nice to have - Basic knowledge of Redis. Salary: EUR 55.000-70.000 a year Salary ranges may vary. We're seeking candidates with varied experience levels; from individual contributors to functional leaders in this space. We're an international team and our business language of choice is English. Good English level is required, proficiency is preferred. To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice: https://www.eneba.com/candidate-privacy-notice What it's like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.

You will turn raw material — a strategy note, a product update, a request from a BD lead in another time zone — into a finished, on-brand presentation, in whatever format the situation calls for, and make sure the right version reaches the right team on time.

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.

Разрабатывать и поддерживать продукт на React + TypeScript. Оптимизировать производительность и повышать стабильность приложения.