Location: San Francisco, CA or Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development.
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WHAT YOU’LL DO
- Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x
- Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production
- Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership
- Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end
- Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on
- Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence
- Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example
- Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next
KEY PROBLEMS YOU’LL HELP SOLVE
- Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on
- Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale
- Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on
- Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find
- Set the bar for developer experience through intuitive APIs and first-class observability
- Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability
_______________________________________________________________________
WHO YOU ARE
Required Qualifications
- 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale
- Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced
- Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on
- Fluency in Go and/or Rust
- A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own
- A strong product mindset, with real experience shaping technical direction rather than only executing against it
- Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
BONUS QUALIFICATIONS
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth 2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
- A track record of setting technical standards that other teams or engineers went on to adopt
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WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $170,350 – $275,550 base
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Dublin, Ireland
Title of role:
Senior Software
Engineer I
(Front-End)
Location:
Dublin, Ireland; Hybrid (2 days in the office required)
Approved Salary Range: €70,000 - €100,000
About the Role
:
Rue Gilt Groupe is looking for a Front-end Senior Software Engineer I to join our Merchandising Engineering team in Dublin, IRE. This is an international team, with members in the United States and Ireland.
Merchandising Engineering owns the systems between buying and selling at Rue Gilt Groupe: product ingestion, catalog and attribution, selling hierarchy and boutique model, scheduled pricing and promotions, and the merchandising operations tooling built on top of all of it. The team is small and senior, primarily backend engineers, with this role as the dedicated front-end owner. We're currently replat forming our commerce stack, which means the team is defining new data models, new integrations, and new tooling rather than maintaining what exists.
We sit at the interface between our merchandising business and our commerce platform: getting bought products into the catalog, structuring how they're categorized and attributed, and building the tools our merchandisers use to plan, price, and launch boutiques every day.
We're in the middle of a replat form. Our legacy ecommerce stack is being replaced with a modern SaaS commerce platform, and the internal merchandising tools that sit on top of it are being rebuilt and revamped. You'd be the front-end owner for that effort: setting the patterns, choosing the structure, and shipping the tools a team of merchandisers relies on every day.
We're also deliberate about how we build. The team uses Claude across the development lifecycle (code, review, documentation, triage) and we invest in making that leverage repeatable: shared skills, repo-level rules, and tooling that connects our AI workflows to the systems we use.
There's no better time to be involved in the technical advancement of e-commerce at Rue Gilt Groupe. We utilize technology, merchandising, and marketing to strategically support our brand partners and inspire members daily. Our approach to retail brings excitement to online shopping and the best-in-class experience that today's customer demands.
Key Responsibilities:
Own front-end architecture for the Merchandising Engineering team: establish patterns, project structure, component and state conventions, and testing standards for a new React and TypeScript codebase.
Set the standard for AI-assisted front-end development on the team: author and maintain reusable Claude skills and repo rules for the new codebase, and define how we use agentic tooling in review, testing, and migration work.
Port, expand, or rebuild our internal merchandising tooling (boutique building, scheduled pricing, catalog and taxonomy management) from a legacy Angular application onto a new commerce platform, retiring legacy pages as you go.
Build data-dense internal UIs: large tables, multi-step workflows, and configuration tools where correctness and speed matter.
Integrate front-end applications against platform APIs and event-driven backend services, working with backend engineers on contracts and data shape.
Operate in an SDLC environment of fail-fast incremental delivery where innovation is a mainstay, and experimentation is encouraged.
Collaborate directly with merchandisers, product management, and engineers across all of our technology teams to turn operational needs into shipped tooling.
Lead by example: raise the front-end bar for a backend-leaning team through code review, pairing, and shared conventions.
About you
At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We're committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you.
Experience and Background Needed
:
Bachelor's Degree
desired
, but not
required
5+ years of front-end engineering experience
Deep experience with React and TypeScript; you've structured production applications from the ground up, not just contributed to them
Fluency with AI coding assistants (Claude or similar) as a daily part of your workflow, and judgement about where they help and where they
don't
Experience building the scaffolding that makes AI tooling reliable for a team (prompt libraries, agent skills, repo conventions, MCP or similar integrations) is a strong plus
Comfortable reading and working within Angular (our legacy tooling) and Vue (vendor-provided boilerplate);
expertise
not
required
Experience building internal, data-heavy applications for operational users (admin tools, back-office systems, workflow tools)
Solid grasp of the Node.js ecosystem, build tooling, and CI/CD practices
Experience consuming REST or
GraphQL
APIs; familiarity with event-driven or streaming backends (
e.g.
Kafka) is a plus
Knowledge of design systems and
component
libraries
Experience with a cloud computing platform (AWS preferred)
Experience working in an Agile/Kanban development team
A love of learning and teaching
Fluency in English
Outstanding interpersonal and communication skills to interact with internal and external stakeholders while working in a collaborative team environment
The above statements are intended to describe the general nature and level of work being performed by employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
What We Offer
:
Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We’ve defined the online treasure hunt through our daily sale events, allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites – Rue La La, Gilt, and Shop Premium Outlets.
Our vision at RGG is to spark delight through daily discovery – we make shopping an occasion to celebrate. At the forefront of fashion and technology, we’re also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected – every day. Our culture is rooted in our values, and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious and Empowered.
Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, pension scheme, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated.
We Encourage You to Apply:
At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you.
ABOUT US:
Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company.
Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate! World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it. Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake.
And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work? It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand.
Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications:
We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our
GDPR Applicant Privacy Notice
and
CCPA Applicant Privacy Notice
or contact us at recruitingcoordinator@ruegiltgroupe.com.
Location: 🇧🇷 São Paulo / 🌎Remote
Workplace: Remote
A little bit about us:
We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data, as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way.
We’re a highly-technical, passionate, and driven team. We are more than 90 people and our team currently represents 20 nationalities. We have offices in São Paulo and Mexico City – while a large portion of us work remotely.
We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way.
Since starting our adventure in May 2019, we have raised $71m from the leading VC investors globally.
You can read more about our company here https://belvo.com/about/ and about our team and culture here https://belvo.com/careers/. Also, head to our blog https://belvo.com/blog/ for more news about what we’re building and how we work https://belvo.com/blog/category/working-belvo/.
About the team:
- We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack.
- Our products are built for developers, by developers. Technological excellence is at the heart of what we do.
- We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.
- We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals.
- While we are global and remote-friendly, we also operate from our vibrant offices in CDMX and Sao Paulo. To accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day.
- Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator.
The challenge
The Intelligence Squad is Belvo's AI enabler team. One part of the squad builds the platforms and patterns that let every team at Belvo ship AI. This role sits in the other part: turning the financial data and payments we aggregate across Latin America into models that make real decisions, who looks creditworthy, which transaction is fraudulent, what category a payment belongs to, whether an income statement checks out. That data drives real financial outcomes for the people and businesses on the other end, so the bar for rigor is high.
You'll be the data science reference in the squad. We're not hiring someone to execute a modeling backlog someone else wrote. We want someone who decides which problems are worth modeling, defines how we know a model is good enough, and raises the data science bar for everyone they work with. You'll be deep enough in statistics and ML to defend a modeling choice to anyone, whether this is a set of rules to simplify a problem or a complex model that you build. You'll be close enough to the business to turn a commercial problem into a modeling roadmap and a business case. And you'll be a strong enough engineer to take your models from notebook to production and own them there.
Responsibilities
- Model development and selection: Lead the design of statistical and ML models (classification, regression, ranking, NLP or LLM-based) for problems like risk scoring, fraud detection and transaction categorization. Choose approaches on their merits and defend those choices with data, not habit.
- AI-leveraged delivery: Use agentic coding and research tooling as a core part of how you work: exploring data, generating and testing feature hypotheses, scaffolding pipelines, writing the service around the model. We care about the decisions you ship, not hours at the keyboard, and we expect you to keep compressing the gap between the two.
- Feature engineering with business context: Work with Product and the business teams to figure out which signals in Belvo's financial data actually explain the outcome you're modeling, and translate an ambiguous business question into a well-scoped modeling problem.
- Productionization and ownership: Take models past the notebook. Build or shape the pipelines, APIs and services that run them reliably in production, and own them once they're live: monitoring, drift, retraining, and retirement when the evidence says so.
- Experimentation: Design and run experiments (A/B tests and offline evaluation) to confirm that a model change actually moves the metric it's meant to move.
- Cross-functional partnership: Work closely with Engineering, Data Research, Product, and the rest of the Intelligence Squad to ship end to end, and with stakeholders across the business to keep your models grounded in what actually matters to them.
- Business and customer partnership: Work directly with stakeholders and, when needed, customers. Translate ambiguous business questions into well-scoped problems, and explain trade-offs and impact clearly to non-technical audiences, executives included.
- Staying current: GenAI moves weekly. We expect you to be genuinely plugged in: model releases, papers, and tooling, to hold an opinion on what's real versus hype, and to bring the useful parts back to the squad as a demo, a doc, or a session for our company-wide AI Chapter.
- Framing the problem: Decide what's worth modeling. Push back when a rule, a heuristic, or a better data pipeline solves the problem without a model, and be willing to kill or retire your own model when the evidence says so.
This position may be for you if
- 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role.
- You've owned models end to end in production, from framing the problem to monitoring it live, and you can point to the measurable business impact they had.
- You have a solid grounding in statistics and can explain how your models work at that level, not just how to call them.
- You've built and compared more than one type of model (for example tree-based methods, regression, deep learning) for the same problem and can justify why you picked the one you shipped.
- You're comfortable in Python for data science (pandas, scikit-learn, and at least one of TensorFlow or PyTorch) and in SQL for pulling and shaping your own data.
- You've taken several models you built into production yourself, not just handed it off to someone else to deploy.You http://deploy.You understand engineering fundamentals: testing, version control, CI/CD, and how to write code someone other than you can maintain.
- You've built with LLMs past the API-call level: tool use or agents, retrieval, structured outputs, and shipped at least one to production. You can explain how you knew it was good enough, which means you've built some form of evaluation, not just eyeballed outputs.
- Agentic coding tools are part of your daily workflow, not a novelty. You can walk us through a specific task that used to take you days and now takes hours: how you set it up, what you delegated, and where you still don't trust the output.
- You're proficient in written and spoken English.
Amazing if
- You've worked in fintech, financial risk, or another regulated data environment before.
- You have a business or strategy background alongside data science (an MBA, consulting, or a product/strategy role).
- You've worked in a customer-facing data science role, such as a forward-deployed engineer or a solutions/applied team at a data platform company.
- You've worked with MLOps tooling for model versioning, monitoring, and automated retraining.
- You've deployed models on AWS (for example SageMaker or an equivalent managed ML service).
- You've written evals or an LLM-as-judge harness for a non-deterministic system, and have opinions about where that approach breaks.
- You've used LLMs inside the data pipeline itself: labeling, extraction, categorization, and can say where they beat a classical model and where they quietly don't.
Tech stack
- Python is our primary language for data science and modeling (pandas, scikit-learn, and deep learning frameworks as needed).
- SQL against a cloud data warehouse for data access and feature work.Claude deployed company-wide and Claude Code for every engineer. Agentic tooling is part of how we work daily, not a side experiment.
- Cloud infrastructure on AWS, favoring managed services so you can focus on the modeling problem rather than infrastructure plumbing.
- An experimentation platform for A/B testing and offline evaluation.
- We use Datadog for service observability across the company.
- We follow Continuous Integration and Continuous Delivery best practices.
Our tech stack:
- We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability
- We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack
- We use Javascript, Vue.js and Sass on the frontend. We are developing and leveraging our own design system and component library
- We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems
- We observe and monitor our services using Datadog
- We follow Continuous Integration and Continuous Delivery best practices
Our process steps:
At Belvo every hire is so important to us, that we share the decision to hire as a team.
- People team chat
- Take-home challenge
- Challenge presentation
- Team fit chat
- Meet the founders
Our perks:
🚀 Stock options (we are all owners and this is very important to us)
📈 Annual company bonus linked to company performance
🔆 Flexible working hours
🔝 Remote friendly
🐶 Pet friendly
👩🏻⚕️ Health Insurance
🎊 Paid time off on your birthday
💻 Renew your laptop every 3 years
🙋 Training Budget
😎 Team building events
🙀 Bank holidays swap within 30 days
🔋 Fitness/ wellness stipends
🚀 Yearly company offsite
🍒 Fresh fruit every week, all-you-can-drink tea and coffee
🏝 Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo
🎳 Yearly department offsite
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
RESPONSIBILITIES
- Kubernetes Ownership: Manage and scale Kubernetes clusters on AWS EKS, ensuring reliability, performance, and security.
- Infrastructure Automation: Implement and maintain Infrastructure-as-Code (Terraform/Pulumi) to automate infrastructure provisioning and management.
- Performance Optimization: Monitor and optimize system performance, scalability, and resource utilization.
- Blockchain Infrastructure: Configure and maintain crypto nodes across multiple blockchains to support our wallet’s operations.
- Database Scaling: Optimize and scale database infrastructure to handle terabytes of blockchain data efficiently.
- System Reliability: Continuously improve system uptime, monitoring, and observability using tools like Datadog and OpenTelemetry.
- Collaboration: Work closely with backend and product teams to support feature development and system scaling.
QUALIFICATIONS
- 5+ years in a SRE or Software Engineer role.
- Strong hands-on experience with Kubernetes (EKS) in production environments.
- Proficiency with AWS infrastructure and services (EC2, S3, RDS, IAM).
- Solid experience with Docker and Infrastructure-as-Code tools like Terraform or Pulumi.
- Monitoring and observability experience using tools like Datadog or OpenTelemetry.
The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Задачи:
— Разрабатывать новые сервисы и функциональность Медицинского пульта ДМС
— Развивать backend-часть решения на Java
— Разрабатывать пользовательские интерфейсы на React и TypeScript
— Создавать и дорабатывать frontend-компоненты и пользовательские виджеты
— Разрабатывать интеграции между ELMA365 и внутренними корпоративными системами
— Работать с REST API и микросервисной архитектурой
— Работать с асинхронным взаимодействием через брокеры сообщений
— Оптимизировать существующие решения и повышать производительность системы
— Участвовать в обсуждении архитектурных решений совместно с командой разработки
Требования:
— Опыт коммерческой разработки на Java от 3 лет
— Уверенное знание Spring Boot
— Опыт работы со Spring Cloud
— Опыт разработки REST API
— Понимание принципов микросервисной архитектуры
— Опыт работы с PostgreSQL
— Опыт работы с RabbitMQ или другими брокерами сообщений
— Опыт работы с Docker
— Опыт работы с Git
— Опыт разработки на React
— Уверенное знание TypeScript
— Знание JavaScript
— Опыт работы с HTML/CSS (SCSS)
— Опыт разработки пользовательских интерфейсов корпоративных систем
— Опыт работы с ELMA365 будет большим преимуществом
— Опыт работы с ELMA365 SDK
— Опыт разработки на BPM/BPMS-платформах: Directum RX, Camunda, Creatio, Pega, другие корпоративные BPM-решения
— Понимание BPMN
— Опыт разработки интеграционных решений
— Опыт работы с SIP/WebRTC и системами телефонии
Условия:
— Полная занятость
— График работы 5/2
— Удалённый формат работы
Location: Minsk
Workplace: hybrid
About NRS
National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. As a major player in the retail technology industry, NRS is expanding into next-generation cloud platforms, high-throughput retail ecosystems, and advanced analytics solutions.
We are building modern, highly scalable systems designed specifically for high-volume retail operations and real-time reporting. This project represents one of the most significant technical initiatives in NRS’s history and offers a rare opportunity to join at the ground floor of a major strategic expansion.
Role Overview:
We are seeking a
Senior Full Stack Engineer
based in Minsk, Belarus to join our distributed engineering team. In this role, you will help architect and build core components of NRS’s next-generation retail platform. You will focus heavily on robust backend services written in Golang, high-throughput query performance, and leveraging ClickHouse for real-time reporting and large-scale data modeling, alongside modern front-end architectures using Vue.js and micro-frontends
Experience with columnar/OLAP databases like
ClickHouse
is highly desired to support our analytical engine, but deep, hands-on mastery of SQL, data indexing, and database performance profiling is the primary requirement.
You will work closely with engineering leadership, product managers, and architects across Israel, Belarus, and the U.S., contributing meaningfully to the technical direction, data architecture, and scalability of our products.
This position requires
3 days a week in-office work
at our office in Minsk to collaborate in person with local engineering peers, along with regular remote collaboration across our global teams
Responsibilities:
Technical Leadership & Architecture
Architect, build, and maintain high-performance full-stack applications—ranging from real-time analytics dashboards to reporting pipelines—with a strong focus on
Golang
for backend microservices and
Vue.js
on the front end.
Design, model, and optimize high-speed relational and analytical data stores—writing advanced SQL queries, materialized views, aggregation logic, and indexing strategies to power real-time reporting dashboards.
Leverage analytical data stores (ideally
ClickHouse
) to build ultra-efficient reporting engines and handle high-throughput data ingestion.
Design and implement modular micro-frontend architectures to support scalable, independently deployable UI components across team boundaries.
Take end-to-end ownership of core system components, high-throughput backend APIs, and event-driven microservices.
Drive architectural design, technical planning, query optimization, and engineering best practices across the team.
Ensure platform scalability, low latency, fault tolerance, and secure service design.
Execution & Delivery
Write clean, maintainable, highly efficient, and well-tested Go and JavaScript/TypeScript code.
Collaborate with product and engineering teams in the U.S. and locally to translate complex requirements into robust, scalable technical solutions.
Uphold code quality through thorough code reviews; we use AI-assisted tooling (Cursor, Copilot, Claude Code) as part of our workflow.
Debug, profile, and optimize complex SQL queries, execution plans, database locks, and distributed backend microservices.
Collaboration & Culture
Participate in daily standups, sprint planning, and retrospectives to support continuous delivery.
Communicate effectively across time zones and collaborate seamlessly with global engineering leadership.
Required Qualifications:
6+ years of full-stack development experience
, with at least
2 years in a senior or lead capacity
.
Solid Backend Expertise in Go:
Proven track record of designing, building, and scaling Go-based microservices, concurrent applications, and REST/gRPC APIs.
Deep SQL Mastery & Data Modeling:
Expert-level knowledge of SQL, including writing complex joins, subqueries, query execution plan analysis (EXPLAIN), indexing strategies, schema normalization/denormalization, and performance profiling for large-scale reporting datasets.
Modern Frontend & Micro-Frontend Mastery:
Strong hands-on experience with modern JavaScript/TypeScript frameworks—specifically
Vue.js
(Vue 3 / Composition API).
Demonstrated experience designing or working within micro-frontend architectures (e.g., Module Federation, single-spa, component isolation).
Experience building end-to-end SaaS products, microservices, or complex distributed web platforms.
Proficiency with Linux/Unix environments, Git, and CI/CD automation workflows.
Strong problem-solving mindset with the ability to lead technical initiatives independently.
Excellent English communication skills with experience collaborating with remote/U.S.-based stakeholders.
Nice to Have:
ClickHouse / OLAP Experience:
Direct hands-on experience with ClickHouse or other columnar/analytical databases (Snowflake, BigQuery, Redshift) is a
strong plus
.
Working knowledge of
PHP
(legacy service integration/migration).
Familiarity with containerization and orchestration (
Docker, Kubernetes
).
Hands-on experience with cloud platforms (ideally
AWS
).
Knowledge of real-time communication technologies (
WebSockets, gRPC, Kafka, or NATS
).
We are pleased to offer:
Hybrid work opportunity (3 days in the office)!
Modern office with free parking in the very center of Minsk.
An exciting and challenging job with talented people around.
Competitive salary and growth opportunities.
Really good hardware.
26 vacation days & 5 fully covered sick days without sick leave required per year.
Compensation for professional training, seminars, and conferences.
Sports activities reimbursement and loyalty program.
Medical insurance.
Referral program - get rewarded for helping us grow the team with talented people.
Company-supported English classes to enhance your professional growth.
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 brand provides 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.
Location: Москва
Ищем опытного Python-инженера, который любит ML, понимает его силу и ограничения, и хочет делать «настоящий» production-backend: надёжный, масштабируемый, с чёткой инженерной культурой.
Стек технологий: Python 3.12+, FastAPI, gRPC/HTTP, Kafka, PostgreSQL, PyTorch/Lightning, инструменты для LLM-оркестрации, LangGraph, Grafana/OpenTelemetry, OpenShift, Jenkins.
Обязанности
* проектировать и разрабатывать backend-сервисы на Python для LLM-агентов и ML-пайплайнов (низкие задержки, высокая надёжность, observability)
* выстраивать и развивать архитектуру агентских систем (оркестрация инструментов, память, планирование, безопасные guardrails, оценка качества)
* внедрять ML System Design подходы: искать и применять передовые идеи и мировой опыт в области архитектур агентских систем
* работать с данными и интеграциями: очереди/стриминг, базы, кэш, внешние API
* проводить технические исследования (R&D), быстро прототипировать, измерять, масштабировать в прод
* развивать платформу: тестирование, CI/CD, мониторинг, трассировка, расходы.
Требования
* от 4 лет промышленной backend-разработки на Python с акцентом на надёжность и производительность
* опыт проектирования распределённых систем и высоконагруженных сервисов
* уверенная математическая база (вероятность/статистика/оптимизация), инженерный вкус и привычка мерить всё метриками.
* практика работы с ML-системами в проде: фичи, офлайн/онлайн-оценка, A/B, наблюдаемость качества
* навык разбираться в новых подходах (LLM-агенты, инструменты, память, RAG, оценка), критически их проверять и доводить до результата
* готовность брать ответственность за продуктовые эффекты, а не только за код.
Будет плюсом:
* опыт построения agentic-архитектур (планировщики, многoшаговые цепочки, инструментализация, безопасность).
* опыт реализации высокоэффективного инференса LLM моделей, глубокое понимание работы kernel для инференса
* вклад в open-source или публикации/доклады
* знание домена рисков.
Условия
* рабочее место в современном офисе по адресу г. Москва, проспект Кутузовский, 32
* режим работы: гибрид, удаленного формата нет
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС с первого дня работы для сотрудников и льготная медицинская страховка для близких
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
— Разрабатывать и развивать ETL-системы, которые обеспечивают данными различные предметные области: продажи, учёт, логистику
— Анализировать данные и проектировать структуры данных под аналитические потребности различных бизнес-подразделений
— Оптимизировать и мониторить пайплайны обработки данных, повышая их производительность и стабильность
— Проектировать и реализовывать масштабируемые хранилища данных на базе HP Vertica, Trino, ClickHouse, PostgreSQL и Hadoop
Требования:
— Самостоятельность в решении задач и опыт в роли ключевого разработчика на крупном проекте
— Опыт проектирования архитектуры хранения данных и связанных ETL-процессов
— Умение работать с техническими требованиями: аргументированно предлагать изменения и находить оптимальные решения
— Хорошие навыки проектирования и реализации ETL-процессов, обязательное знание Airflow
— Отличное знание SQL и системное мышление
— Опыт разработки хранилищ данных с использованием одной из колоночных СУБД: Vertica, Greenplum, Exadata, Teradata
— Опыт программирования на Python, в том числе для разработки решений по автогенерации ETL-задач и реализации логических алгоритмов
— Навыки работы с Bash и Docker
Будет плюсом:
— Опыт работы со Spark
— Опыт работы с несколькими ETL-инструментами и их использованием в горизонтально масштабируемых системах обработки данных
— Знания в одной из областей: CI/CD, frontend- или backend-разработка, разработка интеграционных потоков
— Желание участвовать в управлении проектами и доводить фичи до production
— Желание развиваться в наставничестве и помогать другим участникам команды
Задачи:
- Развитие существующих backend-сервисов
- Разработка новых сервисов для внутренней инфраструктуры
- Участие в развитии системы учёта серверов, ресурсов и потребления мощностей
- Работа с системой управления доступами
- Взаимодействие с командами инфраструктуры (DevOps, сетевые инженеры, operations)
- Участие в code review
Требования:
- Опыт разработки на Python от 3 лет
- Опыт работы с Django и FastAPI
- Опыт разработки backend-сервисов
- Опыт работы с PostgreSQL (SQLAlchemy, Django-ORM)
- Опыт работы с Redis
- Опыт Frontend-разработки
- Опыт работы с очередями задач (Celery)
Будет плюсом:
- Опыт работы с Vue.js
- Опыт работы с Kubernetes
- Опыт работы с Ansible
- Опыт работы с LDAP
- Понимание PromQL
- Интерес к rust, go или ruby
- Интерес к инфраструктурным сервисам
Условия:
- Полная занятость
- График: 5/2
- Формат работы: удалённо или гибрид или офис
Requirements
Deep experience as a Full Stack Developer with .NET and React
Good knowledge of REST and SOAP APIs, API management, and Agentic platforms
Experience with cloud-native development, integration platforms, and distributed systems
Exposure to Azure/AWS and platforms such as WSO2, Kong, or Boomi
Expected to contribute across backend, frontend, integration, testing, and deployment activities
Nice to have
Technical team leadership experience
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Any questions?
Natalya
hh@itransition.com
Location: Warsaw, Poland
What is Box?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
Why Box needs you:
The Content Creation team owns Notes and Canvas products of Box's platform. The functionality that this team builds is used by our largest cohorts of users (versus just admin users). They are the only true real-time service at Box, using web sockets to deliver a real-time editing product. It's a complex problem space that we are experts in, and it's a great team to join if you want to contribute to creating one of the most vital Box products. The team is mostly developing Front-End with React.js, for Back-End tasks they use mostly Node.js.
Responsibilities:
Develop high-quality, scalable, and responsive software using modern technologies.
Write clean, efficient, and maintainable code using industry best practices.
Partner with cross-functional teams to onboard, share knowledge, and align on current responsibilities and priorities
Participate in regular team meetings and manager 1:1s to ensure alignment, growth, and continuous improvement
Create clear technical documentation, reusable patterns, and examples to scale knowledge across engineering teams
Leverage AI tools (e.g., Claude, Cursor) to accelerate development, research, documentation, and bug triage while maintaining high standards of quality and security
Represent and advocate for Box Poland’s engineering excellence both internally and externally
Maintain and support one or more legacy codebases
Contribute to defining and implementing engineering standards across product teams
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
Requirements:
6+ years of professional software development experience, with 3+ years of with significant backend contributions and 3+ years of frontend contributions.
Strong coding skills with demonstrated fluency in
Node.js + TypeScript
for backend.
Experience designing and implementing APIs and distributed services; solid grasp of system design and data modeling.
Demonstrated fluency in
JavaScript/TypeScript
with at least one modern frontend framework (
React
preferred). Strong understanding of state management, responsiveness, accessibility, performance, and security basics.
Some experience in design, building, and deploying high-quality software in cloud environments.
Strong knowledge of algorithms, data structures, software design principles, and object-oriented programming.
Passionate about new technologies with the capability to implement them in existing products.
Demonstrates ownership mentality and strives for excellence in both technical work and team interactions.
Proficient in English.
Nice to have:
Experience with Google Cloud Platform and/or Amazon Web Services.
Experience with Web sockets and real-time applications
Experience contributing to cross-platform solutions as part of a team
At Box, we believe that providing the best tools leads to the best outcomes. That's why we equip our engineers with AI-powered development tools like Cursor IDE and GitHub Copilot to help you write better code faster.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to
work from their assigned office a minimum of 3 days per week
, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
BENEFITS
Check out the overview of the
benefits and additional perks offered at Box.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation".
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice
. For more details on how Box Poland protects your information, please see our
Supplemental Personnel and Candidate Privacy Notice
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
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.
Location: UAE - Dubai; Poland; UK; Portugal
Workplace: hybrid
1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
The Role
As Tech Lead, iOS, you’ll be the primary technical owner of the 1inch Wallet iOS application. This is a hands-on individual contributor role with no direct people management responsibilities. You’ll own the app’s architecture and development, improve its CI/CD workflow and monitor it after release. You’ll work on wallet features including perpetual trading, prediction markets and DeFi staking, collaborating with the Product Owner, Android Lead and QA. You’ll also use AI-assisted tools in development and testing, applying sound engineering judgement to the code and tests they generate.
What you’ll do
Own the iOS architecture and technical direction, balancing feature delivery, maintainability, performance and security.
Build and improve modular, testable application components, and guide implementation across complex wallet flows.
Implement wallet features and technical improvements across the iOS application.
Integrate the application with backend services, blockchain networks and related wallet services.
Work with Product, Android, Backend, Blockchain and QA on shared product behaviour, API integrations, test coverage and defect investigation
Use AI-assisted tools in development and testing, reviewing and validating their output against engineering, quality and security standards.
Protect sensitive information by keeping private keys, recovery phrases, credentials and user data out of AI prompts and inappropriate logs.
Own and improve the iOS build and CI/CD workflow; monitor releases, investigate production issues and coordinate fixes and improvements to stability.
Who you are
You have strong hands-on iOS development experience with Swift, including experience building production applications.
You have practical experience working on a Web3 product, such as a wallet, DeFi application or product integrating with blockchain networks, and an understanding of crypto and trading.
You have experience with iOS build and CI/CD workflows and monitoring production applications.
You have experience making technical and architecture decisions for an iOS application.
You communicate technical trade-offs clearly and work well with Product, Android and QA.
You are comfortable taking ownership of the iOS application while working independently as its primary iOS technical owner.
You are pragmatic: you can move quickly while keeping reliability, security and maintainability in mind.
You use AI tools thoughtfully, question their output and take responsibility for the code you deliver.
Nice to haves
Experience building or maintaining a non-custodial wallet.
Experience with transaction signing, wallet recovery or transaction lifecycle flows.
Experience building modular, testable applications and handling asynchronous operations and network failures.
Experience with security-sensitive mobile functionality, mobile security reviews or incident response.
Hands-on experience with UIKit or SwiftUI; experience with both is not required.
Задачи:
— Полный цикл системного анализа модулей платформы
— Формализация бизнес-требований
— Проектирование логики работы модулей
— Описание интеграций и потоков данных
Требования:
— Опыт работы в бизнесе в сфере ритейла, производства на роли бизнес/системного аналитика
— Опыт работы в консалте в сфере управления цепями поставки, ритейла на роли бизнес/системного аналитика
— Знание стека: Knowledge Space, Optimacros, Novo BI, Jume, Reshape
— Опыт работы системным аналитиком от 5 лет
— Желателен совмещённый опыт SA+BA
— Опыт работы с аналитическими платформами, корпоративными системами или системами планирования
— Опыт участия в сложных проектах с большим количеством данных и интеграций
— Системный анализ требований (BRD, FRD, SRS, Use Cases, User Stories)
— Моделирование бизнес-процессов (UML, AS-IS / TO-BE)
— Проектирование и описание данных (ER-диаграммы, логические модели)
— Работа с реляционными и нереляционными БД на уровне анализа данных и требований
— Работа с интеграциями: REST API, форматы обмена, спецификации OpenAPI; понимание событийных интеграций
— Декомпозиция сложных бизнес-задач до технических требований
— SQL: чтение и написание аналитических запросов
— Высшее образование (информационные технологии, математика, экономика, прикладные науки)
— Работа с большим количеством стейкхолдеров
— Навыки фасилитации
Будет плюсом:
— Опыт в Supply Chain, Demand Planning, Forecasting, ERP, APS
— Опыт работы в продуктовых командах (Agile, Scrum)
— Понимание процессов Supply Chain Planning, S&OP, Demand Sensing (для модуля Demand Planning)
— Понимание задач линейной и смешанно-целочисленной оптимизации, LP, MILP (для модуля Supply Network Planning)
— Опыт описания требований к ML и аналитическим компонентам (feature engineering, качество данных, метрики моделей)
— Базовое понимание методов Operations Research для диалога с разработчиками алгоритмов
— Навыки построения экономических обоснований (ROI, TCO, cost-to-serve)
— Базовые навыки анализа данных для валидации гипотез
— Инструменты моделирования: Draw.io, PlantUml, Miro или аналоги
— Яндекс.Трекер Axenix, Яндекс.Вики Axenix (или Jira, Confluence)
— Базовое понимание архитектуры web-приложений, backend-сервисов и ML-конвейеров
— Инструменты бизнес-анализа: gap-анализ, моделирование бизнес-объектов
— Сертификации по системному или бизнес-анализу (IIBA CBAP, CCBA, курсы по BABOK)
— Обучение в области Supply Chain, Demand Planning, Operations Research
Задачи:
— Проводить ручное функциональное, интеграционное и системное тестирование.
— Разрабатывать и поддерживать тестовую документацию, работать с дефектами, анализировать и воспроизводить пользовательские ошибки.
— Проводить review артефактов тестирования и совершенствовать процессы тестирования.
— Автоматизировать функциональное тестирование на Python.
Требования:
— Опыт более 5 лет.
— Не менее 3 лет практического опыта создания тест-кейсов и сценариев, подготовки и поддержки тестовой документации в TestRail, Zephyr или Xray.
— Применение методов тест-дизайна.
— Не менее 2 лет опыта ручного тестирования REST API с Postman, Insomnia или curl, проверки схем JSON Schema и OpenAPI и валидации бизнес-логики.
— Опыт автоматизации backend-тестов на Python с pytest и UI-тестов на Playwright, включая интеграцию с CI.
— Практический опыт тестирования систем с Apache Kafka, включая проверку порядка и гарантий доставки сообщений, тем, партиций и схем в Schema Registry.
— Опыт интеграционного, системного и UAT-тестирования, подготовки end-to-end сценариев и тестовых окружений, согласования критериев приёмки.
— Навыки тестирования БД и написания SQL-запросов.
— Опыт работы с PostgreSQL, MySQL, Oracle, MongoDB и Redis, проверки целостности данных и миграций.
— Опыт работы с Docker, GitLab CI, Kubernetes, kubectl и Helm, а также в Linux: написание bash/sh-скриптов, настройка сетевых параметров, мониторинг процессов и отладка тестовых стендов.
Условия:
— Формат: удалённо, полная занятость, оформление по ГПХ.
— Требуется гражданство РФ.
Задачи:
— Владение полным циклом пользовательских сценариев с AI-агентом Upgrade на чат, голос и email: создание, оптимизация, обработка крайних случаев и рост показателя containment.
— Создание сценариев в no-code инструменте Sierra Agent Studio, сотрудничество с продуктовыми группами для интеграции сервисных потоков.
— Ответственность за разрешение проблем клиентов AI-агентом без участия человека.
— Анализ и улучшение сценариев после запуска, включая чтение транскриптов и повышение качества взаимодействия.
— Ведение портфеля сценариев по продуктам (Personal Loans, Card, BNPL, HELOC, Deposits) и установление стандартов разработки AI-опыта.
Требования:
— 3–5 лет опыта во Frontend Software Engineering или эквивалентный опыт в Solutions Engineering, Conversational AI или технических продуктовых ролях.
— Знание поведения LLM-агентов: инструкции, вызовы инструментов, извлечение знаний и типичные ошибки.
— Опыт построения оценок для недетерминированных систем: тестовые наборы, симуляции, LLM в роли судьи, регрессионные проверки.
— Техническая грамотность для чтения API спецификаций, работы с backend-инженерами по REST и GraphQL, понимание авторизации и прав доступа.
— Знание JavaScript/TypeScript для создания и поддержки кодированных сценариев и интеграции API в платформы Conversational AI.
— Ориентация на продукт и клиента, умение читать транскрипты, забота о тоне общения и измерение успеха по решению проблем клиента.
— Владение процессами выпуска, мониторинга, анализа логов и реагирования на инциденты.
— Умение ясно писать и работать с неинженерами из операций, комплаенса и юридического отдела.
Плюсы:
— Опыт работы с Sierra Agent Studio или аналогичными no-code платформами (Decagon, Ada, Kore.ai, Google CCAI, Amazon Lex/Connect).
— Опыт с Voice AI: распознавание речи, синтез речи, настройка задержек, обработка прерываний.
— Знание систем контакт-центров, таких как Genesys, и проектирование передачи агентам.
— Опыт в финтехе или регулируемых отраслях (UDAAP, FDCPA, TCPA, PCI, SOC 2).
— Опыт в дизайне разговоров или UX-писательстве.
Условия:
— Конкурентная зарплата $140K-$180K CAD и опционный план.
— Оплачиваемое медицинское, стоматологическое и офтальмологическое страхование.
— Гибкий оплачиваемый отпуск.
— Возможности профессионального роста и развития.
— Оплачиваемый декретный отпуск.
— Инициативы по здоровью и благополучию.
Key Requirements:
— 3+ years of commercial experience in a relevant role.
— Strong expertise in Asterisk (versions 13 and above).
— Hands-on experience building and maintaining VoIP solutions for contact centers or fintech environments.
— In-depth understanding of SIP and RTP protocols, including NAT and QoS.
— Experience configuring and managing SIP trunks.
— Experience configuring IVR workflows, agent queues, and skill-based routing, including fallback and overflow logic.
— Experience with call recording, CDR, and CEL.
— Strong Linux administration skills (Ubuntu/Debian) in production environments.
— Practical experience securing VoIP infrastructure, including protection against brute-force attacks, Fail2Ban, firewall configuration, ACLs, and rate limiting.
— Experience integrating Asterisk with external systems, including CRM, billing, antifraud solutions, and APIs.
— Experience using AMI / ARI to integrate Asterisk with backend systems.
— Understanding of financial systems requirements, including reliability, auditability, and logging.
— Ability to quickly understand and troubleshoot complex or legacy systems.
Responsibilities:
— Maintain and continuously improve the company’s telephony platform.
— Ensure the stable operation of support, collections, and sales communication channels.
— Configure and maintain IVR menus, call queues, and routing logic in line with business processes.
— Integrate the telephony platform with internal services, including CRM, backend systems, and billing.
— Ensure high availability and minimize system downtime.
— Monitor call quality and key performance metrics, including SLA, ASR, and ACD.
— Identify and resolve latency and call-quality issues.
— Optimize system performance and support infrastructure scaling.
— Upgrade and improve the existing VoIP infrastructure.
— Create and maintain technical documentation covering call flows, routing, and integrations.
— Collaborate with cross-functional teams, including backend, support, and security.
Задачи:
— принимать и тестировать релизы внешнего подрядчика
— проводить функциональное, регрессионное и интеграционное тестирование
— проверять, как изменения влияют на соседние модули системы
— разрабатывать и актуализировать тест-кейсы и чек-листы
— воспроизводить пользовательские инциденты, анализировать логи и данные
— проверять API через Postman, работать с DevTools и SQL
— оформлять баг-репорты, отслеживать исправления и взаимодействовать с подрядчиком
— при необходимости тестировать внутренние веб-проекты
Требования:
— опыт в тестировании ПО от 1-го года
— интерес к сложным системам и умение находить дефекты
— внимательность и самостоятельность
— умение аргументированно обсуждать ошибки с разработчиками и внешним подрядчиком
Условия:
— офис в Москве, м. Щукинская
— график 5/2, с 9:30 до 18:00
Технологический стек:
Frontend: React, TypeScript
Backend: Python, Django, NestJS
База данных: PostgreSQL
API: REST, GraphQL
Инфраструктура: Docker, Nginx
Система контроля версий: Git
Инструменты тестирования: Postman, DevTools
Серверная ОС: Linux
ОфисmiddleМосква
seniorDublin, Ireland
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