Вакансии

• Взаимодействие с data scientists, инженерами, аналитиками и бизнес-стейкхолдерами. • Коммерческий опыт в ML/ML Engineering от 3 лет, уровень Middle+ / Senior.

• Тестирование нового функционала. • Уверенные знания основ тестирования.

– Опыт в QA от 3 лет.

— поддерживать и развивать Linux-инфраструктуру; — обеспечивать стабильность серверов, прокси и CDN;

• 3+ года коммерческой разработки ПО.

3+ года production Rust (или low-latency C++ и уверенный Rust). Уже строил торговые системы с низкими задержками (must have).

What you’ll be doing Design, build and operate the Scala services that connect Ledger wallets and the Ledger Enterprise platform to blockchain backends: account creation, operation history, transaction crafting, broadcast and lifecycle tracking. Own production quality on your scope: SLIs and SLOs, observability, distributed tracing.

Обязанности: Разработка и поддержка автотестов для достижения 100% автоматизированного покрытия. Требования: Высшее техническое образование и уверенное знание JavaScript.

Обязанности: Функциональное тестирование OpenMetadata, включая процессы сканирования источников данных, профилирования данных и управления тегами и глоссариями. Тестирование интеграций с различными СУБД и проверка соответствия метаданных в источниках информации, отображаемой в каталоге.

Задачи: Изучать планы тестирования и выделять тестовые случаи. Определять входные данные, выделять классы эквивалентности и строить таблицы комбинаций для покрытия ветвей логики.

Location: Minsk; Warsaw Workplace: hybrid About the Role:     Our National Retail Solutions brand is a highly successful Point-of-Sale (POS) SaaS business, rapidly expanding into new sectors with over 40,000 software and hardware terminals in independent retailers like: convenience stores, bodegas, liquor stores, small grocers, and tobacco shops.  We’re looking for a highly technical, hands-in-code Engineering Manager, with experience building highly scalable and robust systems who wants to focus on: 1. Team Building: Hiring, Coaching, Firing. 2. Engineering Process: Agentic Development. 3. Technical Leadership. You’ll work cross-functionally with engineering, design, operations, go-to-market teams, and executive leadership to create intuitive, scalable products that solve real operational challenges for our customers. This is an opportunity to build meaningful products from the ground up in a fast-moving environment where customer empathy, speed, and product quality matter. Requirements: Proven Leadership Experience: 5+ years in technical leadership and people management at a SaaS business. Product background: Experience building Point-of-Sale (POS) systems is a strong plus. Technical Depth: Proven background as a software engineer with a track record of driving large-scale distributed systems or complex platform architectures. Talent Development: Proven experience in scaling engineering orgs (e.g., growing teams from 10 to 15 engineers) and building career frameworks. Communication & Influence: Exceptional stakeholder management skills with experience presenting to executive leadership and non-technical stakeholders. Language Proficiency: Good command of English, at B2 level or higher. Russian language would be a plus. We offer you: Hybrid/office in Belarus or remote b2b in Poland. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

- Build secure payment services in C# / .NET 8+. - Design virtual card issuing, routing, wallet and ledger flows.

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:   We are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance. The role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement. You will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation. The main responsibilities of the position include: Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies. Research and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation. Provide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring. Explore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations. Contribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions. Support the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices. Develop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight. Establish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework. Assess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability. Support cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice. Collaborate with stakeholders across IT, the Group and other departments to identify and assess AI opportunities aligned with business priorities, roadmaps and projects. Collaborate with AI representatives across the Group to share knowledge and support a coordinated approach to AI adoption. Maintain relationships with vendors, research communities and industry peers, bringing relevant developments and insights back to the organisation. Represent the Group, when requested, at conferences, external events and industry forums, contributing to presentations, demonstrations, articles and other technology-related activities. Main requirements: BSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience. At least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team. Solid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications. Demonstrated experience modernising or transforming software development lifecycles through AI tooling and automation. Deep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools. Strong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions. Experience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs. Solid understanding of IT engineering metrics and data-driven measurement of development performance. Exposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks. Experience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations. Experience presenting to and working directly with senior or C-level stakeholders. Public speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences. Innovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications. Proficiency in written and spoken English. Ability to work independently and collaboratively in fast-paced environments. Strong analytical and problem-solving skills. Strong organisational skills, with the ability to manage multiple initiatives and priorities. Willingness and ability to continuously learn and upskill. The following will be considered an advantage: Experience in fintech, trading or financial services. Experience working with or within an innovation lab or applied research environment. Experience with AI or IT engineering maturity frameworks. Experience representing an organisation at external technology events and industry forums. Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities Attractive relocation package and support for a smooth relocation for you and your family The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

🔹Высшее техническое образование. 🔹Опыт автоматизации тестирования от 2-х лет.

Location: Bulgaria Company Background Our client is a travel technology company developing cloud-native, AI-powered software for airlines and hospitality brands. Its products help customers improve commercial performance, reduce costs, and evolve their digital commerce capabilities. The company’s technology is designed to work alongside existing airline systems, allowing customers to introduce new capabilities without replacing their current technology landscape. Project Description You will contribute to a large-scale greenfield travel-technology initiative supporting the launch of a new airline operation. The project uses a modern commercial platform to enable flexible retailing, pricing, and digital shopping experiences across travel products and ancillary services. Technologies GCP, AWS Wiz Cloudflare WAF, Bot Management, DNS, TLS, DDoS Protection and Rate Limiting Terraform SonarCloud and Dependabot Jira, PagerDuty and Slack Python and Bash What You'll Do Own and continuously improve cloud security posture across GCP organizations and AWS accounts, including connector coverage, runtime sensor deployment on production clusters, custom policy development, finding-triage baselines, and integrations with Jira, PagerDuty, and Slack; Operate and evolve the edge security layer, centralizing internet-facing protection through Cloudflare WAF, bot management, rate limiting, DNS/TLS, and origin routing for customer-facing production zones; Tune security rules using real production traffic, manage allow-list requests, and enable other teams to use edge-security tooling effectively; Support and automate vulnerability management and secure configuration, maintaining the intake of Wiz, SAST, penetration-test, and customer-reported findings, defining remediation baselines, and driving owners to closure; Participate in security incident response for cloud events, including DDoS and bot attacks, supply-chain alerts, credential exposure, and data-handling incidents, while creating and maintaining detection, triage, and mitigation runbooks; Help secure the software supply chain by owning SAST reporting in SonarCloud, dependency scanning with Dependabot, container base-image hardening, and the selection of SBOM and SCA tooling, and publish release-level security reports for engineering teams; Produce technical evidence for SOC 2, PCI DSS, ISO 27001, and NIS2, including evidence of log-sink configuration and retention, access reviews, authenticated scanning, and IAM remediation, and map Wiz controls to relevant frameworks to make evidence collection repeatable; Enable security self-service by training Platform, CloudOps, and Product Engineering teams on the tools they use, including Wiz and Cloudflare administration, mapping service catalogues to owners, and automating recurring customer-security and issue-triage reporting through scripting and AI-assisted workflows; Advise and partner with engineering teams on the security of new platform integrations and AI/RAG services, contributing to the annual cloud-security roadmap and target-state architecture; Job Requirements 5+ years of experience in cloud security or platform engineering with a security focus, including hands-on experience with GCP or AWS across IAM, audit logging, log routing, network security, and workload protection; Production experience with a CNAPP/CSPM platform, such as Wiz (preferably) / Prisma Cloud / Orca / Google Security Command Center, including policy authoring, integrations, and runtime protection; Hands-on administration of a WAF, CDN, and bot-management stack at scale; Strong Terraform experience, including building modules for security tooling and WAF configuration, reviewing changes, and managing configuration drift and legacy infrastructure; Experience with vulnerability management across cloud infrastructure, containers, and code, including SAST, SCA/dependency scanning, container image hardening, and penetration-test remediation tracking; Experience routing cloud security signals to a SIEM or security-monitoring platform, such as Wazuh, Microsoft Sentinel, Google Security Operations, or Datadog Security Monitoring, and integrating actionable alerts with PagerDuty and Slack; Scripting skills in Python or Bash for automation and security reporting; Security incident-response experience in a production environment, including developing runbooks and managing vendor escalations; Clear written and verbal communication skills, with the ability to train engineering teams and document security decisions; Nice To Have Experience automating security workflows, such as report generation and issue triage, with AI-assisted or LLM-based tooling; Experience working across both GCP and AWS, experience with Azure; Familiarity with Rego, OPA, or other policy-as-code languages; Experience with identity and access-management tooling, including Okta SSO/SCIM, PAM solutions, and least-privilege reviews for cloud IAM; Experience facilitating OWASP SAMM assessments, threat-modelling sessions, or security-champions programs; Airline or travel-industry experience, including PCI-scoped payment flows, partner integrations, and customer-facing security reporting; Experience supporting compliance with PCI DSS, SOC 2, ISO 27001, or NIS2; Certifications such as Google Professional Cloud Security Engineer, CCSP, or AWS Certified Security – Specialty; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

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. ABOUT THE ROLE Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform. You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted. This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority. WHAT YOU'LL OWN - Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions - Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation - Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes - Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design - Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it - Help teams design sustainable on-call practices: alert quality, escalation paths, runbook coverage, and noise reduction - Track and report on org-wide operational maturity, surfacing systemic gaps and driving remediation YOU MIGHT BE A GOOD FIT IF YOU - Have 7+ years of experience in SRE, production engineering, or reliability-focused roles, including experience shaping SRE practices and driving adoption across engineering teams - Have a software engineering mindset — you write code and build tools, not just configure them - Have hands-on experience defining and operationalizing SLOs/SLIs at scale, including error budget policies that actually influenced engineering decisions - Have deep experience with incident response, postmortem facilitation, and turning incident learnings into systemic improvements - Have worked with large-scale multi-tenant systems (bonus: managed database platforms or Postgres) - Are proficient with cloud infrastructure (AWS preferred) and infrastructure-as-code (Pulumi preferred, Terraform/CDK also acceptable) - Communicate clearly and persuasively — this role requires influencing without authority across a distributed org - Have experience in async or globally distributed teams - Are energized by making other teams more effective rather than being the one who fixes everything NICE TO HAVE - Experience with Kubernetes-based platform operations - Familiarity with OpenTelemetry, VictoriaMetrics, Grafana, or similar observability tooling - Experience building developer-facing reliability tooling (SLO dashboards, ORR frameworks, toil tracking, DORA metrics) 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.

* Deliver high-quality technical proposals for mission opportunities, including complete, accurate responses to RFIs, RFQs, and RFPs. * Run and integrate mission analyses and simulations (coverage studies, payload performance scenarios, feasibility checks) to validate solutions.

Ищем инженера по безопасности ПО от уровня middle, который усилит нашу команду в поиске и устранении уязвимостей. Ключевая задача — настройка и проведение фаззинг‑тестирования с использованием AFL++ и libFuzzer .