Location: Azerbaijan; Ukraine
About Onedome
We're a UK fintech building high-throughput digital infrastructure for the mortgage and property space. Recently acquired Trussle. We're taking our platform to the next level: fully automated, self-healing, observable, and built to handle real traffic spikes (we have a TV launch coming up).
The role
You'll be our senior platform engineer. Not a traditional ops role. You'll treat infrastructure as a product, build the internal developer platform our engineers deploy through, and bring SRE discipline into the application tier when it's needed.
You won't have a platform team to lean on. You'll be building that capability. We know exactly what we need.
What you'll do
Own 5 AWS accounts across the organisation (QA, Prod, Infra, plus two others)
Architect and maintain infrastructure as code with Terraform. Replace the click-ops that's still around
Stand up CI/CD pipelines engineers actually want to use. Blue/green and canary where it makes sense
Run releases reliably and reduce key-person risk on the deploy process
Set up monitoring, alerting, and incident response so we catch issues before customers do. Define SLIs and SLOs that map to real user journeys
Lead incident response as the primary infra responder. Run blameless post-mortems
Patch and harden the platform. We're a fintech, this matters. IAM least privilege, secrets management, vulnerability scanning, MFA enforcement
Lead infrastructure work for the TV launch: traffic spikes, autoscaling, capacity planning, runbooks
Partner with backend engineers when production issues cross into the app tier. JVM tuning, connection pools, async patterns, memory leaks
Architect multi-region DR. Drive the platform toward self-healing
Optimise cost across DynamoDB, Lambda, and the wider AWS footprint
Set architectural guardrails with tech leads and SWEs. Mentor engineers as the platform capability grows
You must have
6+ years hands-on AWS in production (VPC, IAM, EC2/ECS/EKS, Lambda, S3, CloudFront, Route53, RDS, DynamoDB, SQS)
Production Terraform (Terragrunt a plus). Multi-environment state management
Production Kubernetes and Docker. EKS specifically
Strong CI/CD experience: GitHub Actions, GitLab, Jenkins, or ArgoCD. GitOps practices
Strong infrastructure security: IAM least privilege, secrets, patching, vulnerability scanning, MFA enforcement
Observability from scratch: CloudWatch, Datadog, Grafana, Prometheus, OpenTelemetry, or ELK
Solid backend competency in Java (Spring Boot), Python, or Node. Understanding of JVM, concurrency, async systems
Comfort being the senior infrastructure person. Self-directed, opinionated, disciplined about documentation
B2/C1 Level English
Nice to have
Fintech or other regulated industry experience
DynamoDB at scale (we run many tables with PITR and S3 exports, Lambda-driven daily incrementals)
AWS cost optimisation track record
Past experience as a first infrastructure hire at a small team
Building internal developer platforms or self-service tooling
AWS DevOps Pro, Solutions Architect Pro, or CKA
Service mesh experience (Istio, Linkerd) and DevSecOps practices
Firebase or GCP exposure (we have a small footprint there)
What you won't get from us
A platform team to lean on. You'll be building that capability
Click-ops everywhere. You'll be replacing what exists with IaC
Ambiguity about the work. We know exactly what we need
Working setup
UK working hours.
Fully remote across the EU
Tooling: Microsoft 365, Teams, Planner, Nuclino, GitHub
aws-vault with MFA enforcement on all accounts
Sustainable on-call rotation
Salary: $4,000 – $5,000 / month
Location: Renton, Washington, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
At Wizards, we build high-value, high impact solutions for automation and AI use by developers across our enterprise in each business unit. We work closely with internal partners to build solutions and platforms that they are asking for and interested in using in their daily work. We don't mandate adoption. Instead, we create best-in-class tools that developers want to use. We are looking for a versatile and dedicated Senior AI Developer to deliver end-to-end AI and automation solutions on our platforms, giving developers across every business unit tools they genuinely want to use.
Location and Work Arrangement
This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Work with internal teams to implement AI technologies in our tools and products
Deliver automation and AI software to create best in class solutions for our partners
Build automation solutions for enterprise SaaS platforms in collaboration with internal partners
Work with internal developer teams to build out a consistent developer platform
Work on low code developer solutions using AI for non-developers
What You'll Bring
2+ years developing and deploying production scale cloud solutions; or equivalent experience.
Experience with prompt engineering and agent-based workflows for large language models.
Proficiency with two or more of Python, TypeScript, CDK, SAP, GitHub, GitLab, or AWS.
Software Development Life Cycle (SDLC)
What Sets You Apart
Experience with AWS Bedrock or SageMaker AI for agentic solutions
Deployment of AI and automation workloads for enterprise software solutions
Experience with handling required settings in cloud accounts for deployed architecture
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
#Wizards
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$144,100
—
$216,100 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ABOUT THE ROLE
We're looking for a Senior Tech Recruiter to own our most important and hardest technical searches across Engineering, ML & Research, Data, Infrastructure, and Security.
You'll partner closely with technical leaders to hire senior engineers, researchers, and technical leaders who can operate at the frontier of generative AI. You'll also bring structure and market expertise that help the wider team hire better.
WHAT YOU'LL DO
- Own full-cycle recruiting for senior and hard-to-fill technical roles across Backend, Frontend, ML, Research, MLOps, Data, Infrastructure, and Security.
- Partner with technical hiring managers to define role requirements, candidate profiles, and interview processes.
- Build talent maps of top engineering and ML teams in the region and internationally.
- Proactively source passive senior candidates through LinkedIn Recruiter, GitHub, technical communities, referrals, and AI sourcing tools.
- Screen candidates for technical depth, seniority, motivation, and product impact.
- Lead offer conversations and close senior candidates who are weighing competing offers.
- Advise hiring teams on talent availability, compensation, and market conditions.
- Keep pipelines, scorecards, and role context accurate and up to date in Ashby.
- Share sourcing strategies and market insights with other recruiters on the team.
YOUR MUST HAVES
- 5+ years of technical recruiting experience, including senior and leadership-level hires.
- Proven track record hiring senior Software Engineers, ML Engineers, Researchers, or Data professionals.
- Solid understanding of modern engineering and ML teams, including infrastructure, model training, data systems, and production environments.
- Strong sourcing skills with experience engaging passive senior candidates.
- Proven ability to close candidates in competitive offer situations.
- Ability to earn the trust of senior technical leaders as a recruiting partner.
- Experience using Ashby and LinkedIn Recruiter.
- Excellent written and verbal English and Russian.
NICE TO HAVES
- Experience hiring for AI, ML, generative media, or high-growth startups.
- Existing network among engineers and researchers in Kazakhstan, the CIS, or Europe.
- Experience using AI sourcing and automation tools.
- Experience hiring for security or other niche technical profiles.
THE DEAL
- Competitive salary in USD.
- On-site role in Almaty office.
- Full-time position.
Location: Remote - US
Sr. Developer Relations Manager
Backblaze — Remote, US
Compensation: $172,000–$215,000 base + equity
About Backblaze
Backblaze is the object storage layer for AI and data-intensive workloads, fueling customer success with cloud storage purpose-built for scalable performance and economics. We make customers unstoppable by solving their toughest storage challenges.
Today we manage nearly 6 billion gigabytes of data for 500K+ customers across 175+ countries with fast growth among Neoclouds, GenAI companies, and companies reliant on data–heavy workloads. Developers are at the center of our next chapter, and we're serious about earning their trust.
About the Role
Developer relations is evolving quickly. Coding agents, informed by reference architectures and machine-readable documentation, are increasingly making integration decisions on behalf of developers. And trust, transparency, and human interaction are more important than ever as open source ideals and corporate agendas are weirdly attacked, limited, or promoted by unexpected sources and trends.
Backblaze B2 Cloud storage was launched as a result of developer demand and has been committed to the developer ecosystem since day one. Today, we are seeking a leader who can help us become more present and trusted than ever before in this space, both as the storage default for agent-led projects and as a leading source of support, inspiration, and enablement for developers who need storage for whatever they’re building.
As Sr. Developer Relations Manager, you'll work across a strong set of existing assets — a mature docs team, an engineering team focused on AI ecosystem integrations, our Flamethrower Startup Program, a content org, and an outward-facing SE team — and coordinate their outputs into a coherent, credible developer presence that earns mindshare where it matters most.
This is a program-defining role for someone who thinks in systems, works backwards from adoption goals, knows how to make a company technically credible with developers who haven't heard of it yet, and is comfortable both channeling and being the face of developer relationships at Backblaze.
What You'll Own
Developer Presence in the Agentic Stack
The primary goal of this role is to ensure Backblaze B2 is the best storage layer for developers and for their agents. That means understanding how AI coders discover and evaluate infrastructure tools today: through MCP servers, coding agent contexts, reference architectures, SDKs, and machine-readable documentation. You'll work with the internal AI team to define what "agent-ready" means for Backblaze and drive execution against it across engineering, docs, and content.
Cross-Functional Coordination
This role starts as an individual contributor, but you'll have real influence over a strong set of resources: an engineering team building integrations into AI tooling (MLFlow, ComfyUI, Hugging Face, popular agent frameworks), a docs team that can be directed toward structured, agent-consumable formats, a content org that can amplify what you build, and an SE team that can extend your enablement work, among a number of others at the company. Your job is to coordinate these teams around a unified developer strategy, keep that strategy moving, and share its outputs with the broader world.
Community and Ecosystem
Developers trust other developers. You'll underscore Backblaze's credibility in the communities where AI builders live: GitHub, Discord, open source projects, developer events, and the growing ecosystem of AI infrastructure tooling. You'll elevate internal technical voices, use their expertise to build your own thought leadership in the space, and partner with ecosystem players, and show up in a way that is earned, not marketed. Critically, you should have a presence in this community before coming to the role.
Developer Feedback Loop
You'll maintain a tight feedback loop from the developer community back to product and engineering — surfacing adoption friction, unmet integration needs, and emerging patterns worth prioritizing. The Flamethrower Startup Program gives you direct access to early-stage builders who can serve as signal-rich canaries for what's working and what isn't.
Metrics and Program Accountability
You'll define what success looks like — developer signups, activation rates, B2 adoption in AI frameworks, community engagement, content reach — and own progress against it. We're building this program to drive real revenue, and you'll be expected to connect the dots between awareness and conversion. Success in this role opens the door to bringing on, or from elsewhere in the company, developer resources to grow the program.
What We're Looking For
Meaningful DevRel, developer marketing, or developer experience leadership at a cloud infrastructure, open source, or AI tooling company. You've built or significantly grown a developer program, not just contributed to one.
Understand how agentic workflows are reshaping how developers discover and integrate infrastructure tools — and you have opinions about what that means for DevRel strategy.
Technically credible. You can read a codebase, evaluate an SDK, write a working integration, and have a real conversation with an engineer about tradeoffs. You don't need to be a full-time SWE, but you need to have been one, or close to it.
Worked, or started, without a large team. You know how to amplify yourself through cross-functional relationships, external partners, and community rather than headcount.
Strong communicator — to developers externally and to leadership internally. You can write a crisp technical tutorial and a clear exec summary with equal ease.
Existing presence in developer communities. A following, conference talks, open source contributions, a technical blog — some signal that developers pay attention when you show up.
Strong plus:
Direct experience with model training, data processing or generative media
Familiarity with how coding agents (Claude Code, Cursor, Copilot, etc.) surface and recommend infrastructure tools
Experience working with or building on top of open source frameworks in the AI/ML ecosystem (MLflow, DVC, Ray Data, WebDataset, and MosaicML Streaming)
Prior experience running or contributing to a startup/developer program (accelerator, cohort model, or similar)
What You'll Have to Work With
You won't be starting from scratch. You'll work closely with:
A mature, capable
docs team
that can be directed toward agent-consumable documentation formats and structured reference content
A strong
engineering team
dedicated to integrating Backblaze into the AI tooling ecosystem — building connectors, working on external integrations, and driving internal product improvements for developer use cases
Flamethrower
, our startup program, which is already generating community energy and early-adopter signal among AI builders
An outward-facing
solutions engineering team
that can extend your enablement work with hands-on technical support
A
content org
that can help produce and amplify developer-facing assets
Active strategic work from
Rawkode Academy
laying the DevRel foundation: audit, persona validation, content models, and engagement strategy
Why This Matters Now
Developers are making storage decisions earlier in the stack than ever before — often before they've spoken to a salesperson, often through a coding agent recommending a reference architecture. Backblaze has the right product, the right price point, and a growing engineering investment behind this motion. What we need is the person who can translate that into developer conviction at scale.
The window to establish Backblaze as the default AI storage layer is open now. This role exists to make sure we don't miss it.
Backblaze Perks
Healthcare for family, including dental and vision
Competitive compensation and 401K
RSU grants for full-time employees
ESPP program
Flexible vacation policy
Maternity & paternity leave
MacBook Pro plus a generous workstation stipend
Childcare bonus
Fertility treatment and support
Learning & development program
Commuter benefits
Culture that supports a healthy work-life balance
Pay Transparency
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials.
The expected salary range for this role is $172,000 - $215,000 plus 20% target annual bonus and RSUs.
At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.
Backblaze is proud to be an Equal Opportunity Employer. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education.
Задачи:
— Реализация и поддержка Terraform/OpenTofu модулей для Azure App Services, Container Apps, Function Apps, Azure SQL, Cosmos DB и Postgres согласно дизайнам Azure Architect
— Ежедневная эксплуатация платформы Azure Kubernetes Service (AKS): provision кластеров и node-pool, настройка дополнений (ingress, cert-manager, external-dns, мониторинг, политика), onboarding namespace/tenant
— Реализация интеграции идентификационных данных (managed identities, SPN/app registrations) и секретов (Azure Key Vault, OpenBao) для Azure workloads
— Создание и поддержка Image Factory pipeline для VM и контейнерных golden images (Linux и Windows, CIS hardening, сканирование образов)
— Выполнение Configuration as Code (Ansible) playbooks для VM post-provisioning и передачи golden-image
— Поддержка интеграции шаблонов Backstage golden-path для Azure provisioning, тестирование инфраструктуры end-to-end
— Поиск и устранение проблем в production Azure automation модулях во время реализации и внедрения
— Вклад в тестирование модулей, обнаружение дрейфа и документацию согласно стандартам платформы Infrastructure as Code Engine
Требования:
— 5+ лет практического опыта построения и эксплуатации Azure инфраструктуры с использованием Terraform/OpenTofu, включая CI/CD (Azure DevOps)
— Минимум 1 год релевантного опыта руководства
— Опыт эксплуатации Azure Kubernetes Service (AKS) в production, включая сеть, политику и управление namespace
— Опыт работы с Azure identity (managed identities, SPN/app registrations) и интеграцией секретов (Key Vault, dynamic secrets)
— Опыт Configuration as Code (Ansible) для VM post-provisioning и golden-image pipeline
— Знание Azure networking (VNets, private endpoints, NSGs) для интеграции с сетевой инфраструктурой
— Совместное владение Terraform (IaC) и Ansible (CaC) с использованием AI-помощника GitHub Copilot
— Отличное владение английским языком (B2+)
Желательно:
— Опыт работы с Azure VMware Solution (AVS) private cloud
— Знакомство с инструментами hardening/scanning образов и публикацией в Shared Image Gallery
Location: Remote - India
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a
Senior Data Analytics Engineer
who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
Write sophisticated, performant SQL to extract insights from large-scale datasets
Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
Develop internal tooling and automation using Python, FastAPI, and modern frameworks
Communicate findings clearly to technical and non-technical stakeholders-translate data into action
Understand and document data architecture, lineage, and how information flows across systems
Collaborate on business process analysis and process design improvements driven by data
Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
7+ years of professional experience in data analytics engineering, data engineering, or a related field
Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
js experience - ability to build data-facing web applications and internal dashboards
Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
Excellent communication skills - you can explain complex analysis to anyone in the room
Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
A
public GitHub profile
with examples of your work (personal projects, contributions, experiments)
Nice to Have
FastAPI experience for building internal APIs and services
Background in business process design or operational analytics
Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location
– India (remote)
Travel
- As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
MariaDB does not sponsor work visas or relocation.
MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Responsibilities:
— Design, create, and maintain automated test scripts (UI & API).
— Integrate test automation suites into CI/CD pipelines.
— Analyze test results, investigate failures, and report bugs clearly.
— Work closely with developers and manual QA engineers to expand automation coverage.
Key Requirements:
— 3+ years of hands-on experience in QA Automation.
— Proficiency in Python or JavaScript / TypeScript (or Java).
— Strong experience with UI automation frameworks (Selenium, Playwright, or Cypress).
— Hands-on experience with API testing and automation (Postman, REST Assured, or requests).
— Understanding of basic testing concepts, methodology, and software development lifecycle (SDLC).
— Familiarity with Git version control.
— Basic understanding of CI/CD tools (GitHub Actions, GitLab CI, or Jenkins).
Conditions:
— Location: Remote within EU (must hold EU Citizenship, PR, or a valid EU Work/Residence Permit).
— Type: Full-time / B2B Contract.
— Fluent English (B2+/C1) is required.
Location: Noida, India
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are looking for a Professional/ Senior Fullstack Software Engineer (all genders) to join our new Integrations & Partner Enablement team in Noida. The team connects TeamViewer products to the enterprise systems our customers run on, such as ERP, warehouse management (WMS) and manufacturing execution (MES) systems, and gives partners the tools to build integrations on their own.
You will own integration features end to end, shape technical direction for our SDKs and integration templates, and act as a technical reference and mentor in the team. The work is mostly backend, with web frontend work on our extension tools. You will work closely with engineering and product teams in Europe.
Design, build and maintain our Connector SDK, integration templates and backend services using Java/Kotlin with Spring Boot or Node.js/TypeScript.
Build web extensions and tooling with React and TypeScript.
Drive design decisions for scalable, secure and reusable integrations, applying event-driven and API-first principles.
Design data mapping and transformation between our products and enterprise systems such as SAP, WMS and MES.
Turn customer-specific integrations into standard, configurable templates.
Write developer documentation, samples and guides for partners and system integrators, and support them technically.
Drive testing strategy across the stack (unit, integration, contract, end-to-end) and contribute to CI/CD pipelines.
Drive adoption of AI-assisted development in the team: set good practices, share workflows and keep quality high.
Mentor other engineers, lead code reviews and promote engineering best practices.
Requirements
A degree in Computer Science, Software Engineering or a related field, or equivalent experience.
6+ years of professional experience in software development across backend and frontend, with a track record of leading technical topics.
Strong backend experience with Java and/or Kotlin and Spring Boot, or with Node.js and TypeScript.
Solid experience with React and TypeScript.
Strong experience with enterprise integration: REST APIs, data mapping and transformation, event-driven integration and messaging.
Good understanding of authentication and authorization standards such as OAuth 2.0 / OpenID Connect.
Experience with relational and NoSQL databases.
Experience with Git, CI/CD, automated testing, Docker and cloud platforms (Azure or AWS).
Hands-on experience with AI coding tools (e.g. Claude Code, GitHub Copilot, Cursor) and a clear view on how to use them responsibly in a team.
A consulting mindset: able to understand a customer process and turn it into a reusable, standard solution.
Experience mentoring engineers and working in agile teams.
Good working-hours overlap with Central European Time.
Fluent in English (spoken and written).
Nice to have
Background in SAP consulting or a systems integrator, or at a product company with an integration platform or SDK (e.g. iPaaS, WMS or MES vendors).
Experience with SAP integrations (e.g. SAP EWM, SAP S/4HANA, OData, BAPI/RFC, IDoc, SAP BTP / Integration Suite); SAP certification is a plus.
Experience with WMS or MES products (e.g. Manhattan, Blue Yonder, Körber, Siemens Opcenter) and understanding of logistics, warehouse or manufacturing processes.
Experience building SDKs, developer tools or developer documentation.
Willingness to travel occasionally to Europe.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Задачи:
— Работа над проектом системы лояльности.
— Создание REST API на .NET: проектирование ресурсов и методов, коды ответов, версионирование, валидация входных данных, обработка ошибок через единый контракт.
— Создание Background-сервисов: IHostedService/BackgroundService, периодические задачи, обработка очередей, корректное завершение работы, идемпотентность операций и защита от повторной обработки.
— Конфигурирование приложений (IConfiguration, переменные окружения, секции настроек) и логирование (структурные логи, уровни, корреляция запросов).
— Работа с реляционными БД (MS SQL и/или PostgreSQL): написание и оптимизация запросов, индексы, планы выполнения, транзакции и уровни изоляции, работа с блокировками.
— Работа с нереляционными БД (MongoDB): моделирование документов, индексы, понимание сценариев применения.
— Использование ORM — Dapper или Entity Framework: понимание генерируемого SQL, отслеживание изменений, проблема N+1 и способы её обхода, миграции схемы.
— Диагностика ошибок и локальная отладка кода на C# и SQL: работа с отладчиком, чтение стек-трейсов, анализ логов, воспроизведение дефектов.
— Применение принципов SOLID и написание чистого, поддерживаемого кода.
— Работа в команде разработчиков: задачи в трекере, код-ревью, взаимодействие с аналитиками и тестировщиками.
— Декомпозиция задач и оценка трудоёмкости.
Требования:
— Уверенное владение C#: типы, generics, LINQ, async/await, исключения, IDisposable.
— Понимание платформы .NET: устройство CLR, сборка мусора, отличия .NET Framework и .NET Core, публикация и запуск приложений.
— Практические знания многопоточности: гонки, дедлоки, потокобезопасные коллекции.
— Опыт создания REST API и Background-сервисов на .NET.
— Опыт работы с реляционными и нереляционными базами данных.
— Опыт работы с ORM Dapper или Entity Framework.
— Навыки диагностики и отладки кода.
— Понимание и применение принципов SOLID.
— Опыт работы в команде от года.
— Практический опыт работы с AI-ассистентами разработки (GitHub Copilot, Cursor, Claude Code, Codex или аналоги).
— Критическое отношение к сгенерированному коду и ответственность за коммиты.
— Соблюдение правил информационной безопасности при работе с внешними моделями.
— Умение формулировать задачи для моделей, понимание промпт-инжиниринга и эксплуатационных ограничений.
— Осознание рисков использования AI: галлюцинации, необходимость логирования, защита от prompt injection.
Будет плюсом:
— Опыт работы с ASP.NET Core: WebAPI, middleware, IoC-контейнер, Swagger/OpenAPI.
— Опыт тестирования API: Postman, SoapUI, REST Client.
— Опыт работы с брокерами сообщений RabbitMQ или Kafka.
— Опыт работы с Git, Redmine, TeamCity.
— Опыт работы с Docker и понимание контейнеризации.
— Базовые знания фронтенда (JavaScript).
— Опыт работы с системами лояльности, биллингом, процессингом или другими областями с высокими требованиями к корректности расчетов.
Условия:
— Полный рабочий день.
— Удалённая работа.
— Работа по аутстафф модели.
— Трудоустройство через ИП или готовность его открыть.
Задачи:
— Full-cycle подбор IT- и AI/ML-специалистов
— Активный сорсинг через LinkedIn, GitHub, Telegram и профильные AI/ML-ресурсы
— Холодный поиск и аутрич кандидатов
— Ведение воронки найма, контроль сроков и качества закрытия вакансий
— Работа с HR-метриками: time-to-hire, cost-per-hire, конверсия по этапам
— Формирование пайплайна кандидатов и кадрового резерва по IT/AI-направлению
— Участие в развитии employer brand компании на IT/AI-рынке
Требования:
— От 2 лет опыта в IT-рекрутинге
— Опыт самостоятельного ведения full-cycle подбора
— Сильные навыки активного сорсинга и холодного аутрича
— Опыт работы с воронкой найма и HR-метриками
— Умение работать в условиях быстрого роста и меняющихся приоритетов
— Опыт найма AI/ML-специалистов будет преимуществом
— Английский язык будет плюсом
Условия:
— Full-time
— Офис в Ташкенте
— Официальное трудоустройство по ТК Узбекистана
— Заработная плата от 15 000 000 сум
Location: Lisbon, Portugal
About the Role
We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency.
Responsibilities
Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes.
Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems.
Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance.
Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio.
Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows.
Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments.
Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting.
Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions.
Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines.
Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments.
Stay updated with emerging technologies and contribute ideas for improvements.
Qualifications
Education:
Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience).
Experience:
3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills.
Technical Skills:
Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred.
Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration.
Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows.
Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL).
Experience with version control systems (e.g., Git).
Understanding of REST APIs and JSON.
Familiarity with AWS services, especially Lambda functions and S3 buckets.
Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities.
Familiarity with Linux/Unix environments.
Soft Skills:
Strong problem-solving and analytical skills.
Ability to work collaboratively in a team environment.
Good communication skills and a willingness to learn.
Attention to detail and commitment to quality.
Preferred Skills:
UiPath Advanced RPA Developer or Solution Architect certification.
Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure.
Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities.
Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices.
Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines.
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Bengaluru, India
We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle.
AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance.
You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services.
This position is intended for Hyderabad-based candidates who are available to work from the office.
The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready.
Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle.
Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review.
Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel.
Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo.
Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift.
Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows.
Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites.
Validate deep-learning, reinforcement-learning, and predictive models using LangChain.
Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction.
Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python.
Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery.
Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback.
Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage.
Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails.
Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures.
Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform.
Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight.
Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure.
Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope.
Contribute to release readiness for the assigned product area without owning sign-off for the whole team.
Strong Python proficiency with pytest for test and evaluation automation.
Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks.
Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools.
Hands-on use of Cursor or agentic development tools for test generation and maintenance.
Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift.
Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain.
Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction.
Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python.
Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations.
Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion.
Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools.
Experience testing AI security, privacy, access control, and guardrails.
Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures.
Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools.
Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions.
Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight.
Experience managing defects through resolution in Jira or an equivalent tool.
Ability to work with domain experts, product, and engineering on ground truth and coverage gaps.
Experience contributing to release readiness for an assigned product area.
Playwright and TypeScript experience for UI and API automation.
Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform.
Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform.
Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows.
Experience managing test data and troubleshooting test environments needed for reliable execution.
Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls.
Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.
Location: Bengaluru, India
We are looking for a hands-on NetSuite QE Senior who can own quality for finance order-to-cash and still write the tests. You will test NetSuite billing and Advanced Revenue Management workflows, build UI and API checks in TypeScript and Playwright with AI-assisted tools and agents, review generated tests, investigate cross-system failures, and provide release-readiness evidence.
This position is intended for Hyderabad-based candidates who are available to work from the office.
Our client uses Oracle NetSuite as its financial system of record for order-to-cash, billing, revenue recognition, tax, refunds, and membership. Quality Engineering covers ERP regression, financial change, and the integrations connecting commerce and candidate systems to NetSuite.
Own quality for an assigned finance order-to-cash area, from requirements analysis and test design through functional execution, in-sprint automation, exploratory testing, defect resolution, and release-readiness input.
Validate purchases end to end across storefront or registration flows, integration events, NetSuite billing records, downstream entitlements, and revenue plans.
Design and execute coverage for sales orders, cash sales and invoices, payment events, promotions, price exceptions, vouchers, corporate billing, refunds, cancellations, and tax-sensitive scenarios.
Test revenue recognition as a multi-stage process, including arrangements, elements, recognition rules and plans, fair-value allocation, carve-out, prospective merges, deferrals, and background-job timing.
Write and maintain TypeScript and Playwright tests, using API checks as the default and UI automation for business-critical flows or fields that are not exposed through an API.
Use AI-assisted tools and agents across requirements analysis, test design, code authoring, and suite maintenance, and review generated tests for missing coverage, correctness, and domain risk.
Design reusable end-to-end scenarios and verification cases, using soft assertions, dynamic product data, and stage-aware revenue-recognition runs that avoid parallel data collisions.
Keep test cases, ownership, tags, eligibility, and CI results traceable, and maintain sandbox users, API tokens, and a record of permission-restricted scenarios.
Investigate missing or incorrect orders across integration events, APIs, ERP script logs, and downstream systems, then report and verify defects through resolution.
Support pre-production regression, finance and tax sign-off, and controlled production smoke testing without using production as a general test environment.
Senior-level hands-on Quality Engineering experience across requirements analysis, test design, functional and exploratory testing, defect management, automation, and release readiness.
Practical experience testing Oracle NetSuite or a comparable finance ERP, with strong understanding of order-to-cash records and transaction lifecycles.
Working knowledge of revenue recognition concepts and the ability to test multi-stage financial processing, allocation, deferrals, refunds, and background jobs.
Hands-on TypeScript and Playwright for UI and API automation, including SuiteTalk, REST, or an equivalent ERP API, with the ability to write and explain the tests and judge when a UI check is still required.
Experience using AI-assisted tools such as Cursor, GitHub Copilot, or equivalent, including agents, across requirements analysis, test design, code authoring, and suite maintenance, with review of generated tests for missing coverage, correctness, and domain risk.
Ability to design reusable verification coverage, apply soft assertions to long transactional flows, and manage test data that must not collide in parallel execution.
Experience testing integrated systems and tracing failures through event processing, API responses, application logs, and downstream outcomes.
Experience with TestRail or equivalent traceability, CI regression, and Git.
Ability to assess financial and revenue risk, separate release blockers from lower-impact defects, and communicate clearly with engineering, product, finance, and tax stakeholders.
Experience with NetSuite Advanced Revenue Management, including arrangements, elements, plans, prospective merges, fair-value allocation, carve-out, and formulas used to challenge expected revenue amounts.
Experience testing tax, multi-entity, localization, corporate billing, voucher, or price-exception workflows in an ERP.
Experience maintaining automated coverage through ERP form-layout or field-placement changes.
Familiarity with event-driven commerce integrations, dead-letter queue investigation, or payment and entitlement workflows.
Location: Bengaluru, India
We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernization and consolidation.
The role combines hands-on cloud engineering with a product mindset. We are not looking only for someone who can build or operate infrastructure – we need an engineer who treats the platform as a product and product engineering teams as customers: starting from developer friction rather than a preferred tool, building self-service and golden paths, and proving impact with data.
The working schedule is aligned with UK business hours, from 9:00 AM to 5:30 PM UK time. Participation in an on-call rota may be required.
This position includes a sign-in bonus.
You will contribute to a transformation from team operated infrastructure toward a platform with clear self service capabilities. The platform is run as an internal product: product engineering teams are its customers, and success is measured by developer experience, adoption, reliability, delivery speed and cost.
Design and evolve reliable AWS, Kubernetes, Terraform and CI/CD platform capabilities for engineering teams.
Understand developer friction through conversations, feedback and data before choosing a technical solution.
Build self-service capabilities, golden paths and guardrails that make the right thing easy for engineers.
Measure outcomes (e.g. lead time, deployment frequency, reliability, cost) to prioritize work and confirm improvements.
Work with product engineering teams to iterate on solutions and drive platform adoption.
Balance standardization and controls with usability, so the platform enables teams rather than adding process.
Strengthen observability, resilience, security and incident readiness.
Take part in incident response, post-incident reviews and the on-call rota.
Strong hands on AWS platform engineering experience in production environments.
Practical experience with Kubernetes, EKS, Docker, Terraform, and Helm.
Strong CI/CD experience, particularly with GitHub Actions and reusable pipeline design.
Experience with logging and monitoring, networking and protocols, secrets management, and service discovery.
Experience with at least one programming or scripting language.
Evidence of designing secure, reliable, and maintainable platform solutions.
Experience supporting business critical services, including participation in an on call rota.
Experience identifying developer needs and translating them into practical platform improvements.
Experience building self service capabilities, reusable workflows, or guardrails adopted by engineering teams.
Ability to use data and metrics to prioritize platform improvements and evaluate their impact on developer experience, reliability, delivery speed, or cost.
Experience collaborating with engineering teams to gather feedback, iterate on solutions, and drive adoption.
Ability to balance standardization, security, and operational controls with developer usability.
Experience with Honeycomb, OpenTelemetry, Prometheus or Splunk, including SLO-driven practices.
Experience using platform engineering metrics to measure adoption, developer experience and operational outcomes.
Pragmatic use of AI-assisted engineering tools to improve quality and productivity.
Задачи:
— Разработка и поддержка CI/CD пайплайнов
— Автоматизация инфраструктуры (IaC)
— Развертывание и поддержка Kubernetes-кластеров
— Мониторинг, логирование и алертинг
— Обеспечение отказоустойчивости и масштабируемости систем
— Внедрение DevSecOps практик
— Оптимизация cloud-инфраструктуры и затрат
— Поддержка production-среды
Требования:
— Проживание на территории РФ
— Опыт работы DevOps/SRE от 2+ (Middle)
— Уверенное знание Linux
— Опыт работы с контейнерами и оркестрацией (Docker, Kubernetes)
— Опыт построения CI/CD (GitLab CI / Jenkins / GitHub Actions)
— Infrastructure as Code (Terraform, Ansible)
— Опыт работы с облаками (Amazon Web Services / Google Cloud Platform / Microsoft Azure)
— Мониторинг и логирование (Prometheus, Grafana, ELK Stack / Loki)
— Опыт работы с Git
— Будет плюсом опыт с: Argo CD / Flux, Работа с секретами (HashiCorp Vault), Опыт DevSecOps (SonarQube), Опыт работы с брокерами/БД (Kafka, PostgreSQL), Опыт построения highload систем
— Понимание DevOps практик и CI/CD подходов
— Навыки troubleshooting
— Опыт работы с production системами
— Умение работать в команде
Условия:
— Официальное трудоустройство в аккредитованную IT-компанию
— Полностью удалённая работа (РФ)
— 28 календарных дней оплачиваемого отпуска в год
— Бенефиты (компенсация спорта, скидки у партнеров и др.)
Задачи:
— исследование клиентского опыта в рамках процессов оздоровления и взыскания, поиск «узких» мест в процессах и использование передовых инструментов для проведения локальных исследований (графовый анализ, LLM для поиска инсайтов, самовоспроизводящиеся ИИ-решения, disrupt-проекты)
— регулярные встречи с Заказчиками для определения зон роста, предоставления непредвзятого взгляда на процессы и предложения к их трансформации
— создание ИИ-решений, влияющих на клиентский опыт
— построение чистого эксперимента и валидация ИИ-решения
— проработка технологической реализации при поддержке команд разработчиков, data и OPS-специалистов
— контроль внедрения ИИ-решения и последующего поведения решения в ПРОМ-контуре, анализ результатов внедрения
— создание AI-агентов на базе LLM для оптимизации рутинных процессов: оптимизация документальной и рутинной работы, речевая и текстовая аналитика взаимодействия с клиентом, выявление сущностей для автоматизации внутренних процессов, качественная суммаризация текста для составления профиля клиента
— разработка и внедрение ML/AI-моделей: оценки и прогноза финансового состояния клиента, подбор индивидуальных условий для урегулирования задолженности, антифрод и выявления мошенничества, скоринг клиентов, прогнозирование дефолта по обязательствам, What-If / Uplift моделирование и каскады моделей для выстраивания процессов с использованием ИИ, графовый анализ компаний, их руководителей и бенефициаров, анализ новостного контента и других источников информации о клиентах.
Требования:
— опыт работы 3+ лет в традиционных направлениях машинного обучения (ML), обработки естественного языка (NLP), глубокого обучения (DL)
— знание библиотек и фреймворков: pandas, pyspark, catboost, pytorch, tensorflow, langchain/langgraph
— опыт валидации AI-решений и их "боевого" пилотирования решений
— прикладной опыт в использовании LLM, контроле качества ответов и выстраивания графовой архитектуры с использованием LLM tools / MCP
— знания математической статистики и основ A/B-тестирования
Будет плюсом:
— опыт руководства проектами или самостоятельного обеспечения всего цикла производства ИИ-решения от гипотезы до реализации
— знание основ финансового анализа и бухгалтеского учета
— опыт курирования или наставничества, работа в крупных AI-проектах с смежными командами
— английский язык — уровень Intermediate и выше
— опыт в проектах, связанных с клиентским опытом / бизнес-анализом / исследованием очень больших данных
— опыт использования AI-инструментов в разработке (LLM-ассистенты для написания и ревью кода, агенты для автоматизации рутинных операций, инструменты автодополнения вроде GitHub Copilot)
Условия:
— возможен гибридный формат работы, локация офиса пр-кт Кутузовский, 32 к3 стрА
— ежегодный пересмотр зарплаты, годовая премия
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
— Разработка и развитие клиентской части продукта на React — от архитектуры и управления состоянием до production-ready UI с реальными пользователями.
— Проектирование масштабируемой frontend-архитектуры, выбор технологических решений и формирование стандартов разработки.
— Интеграция с backend REST API, участие в проектировании контрактов взаимодействия (OpenAPI/Swagger).
— Оптимизация производительности приложения, управление техническим долгом, рефакторинг сложных участков кода.
— Участие в code review, менторство разработчиков, развитие инженерных практик команды.
— Взаимодействие с product-менеджерами, дизайнерами и backend-разработчиками на всех этапах разработки.
— Участие в декомпозиции задач, технической оценке и планировании спринтов.
Требования:
— Глубокое знание React (18+) и его экосистемы: хуки, контекст, жизненный цикл компонентов, механизмы ререндеринга и оптимизации (мемоизация, виртуализация).
— Уверенное владение TypeScript (generics, utility types, типизация сложных структур).
— Опыт работы с state-менеджерами: Redux Toolkit, Zustand, React Query, TanStack Query; понимание разделения server-state и client-state.
— Понимание принципов работы REST API, авторизации (JWT), обработки ошибок, идемпотентности (для платежных сценариев).
— Опыт работы с CI/CD, Git, системами сборки (Webpack, Vite).
— Понимание принципов чистого кода, SOLID, паттернов проектирования.
— Знание методологий гибкой разработки (Scrum, Kanban).
— Опыт коммерческой разработки на React от 5 лет, из них не менее 2 лет в роли Senior.
— Опыт проектирования архитектуры SPA-приложений высокой сложности (множество зависимостей, ролей и сценариев).
— Навыки адаптивной, кроссбраузерной и мобильной вёрстки (HTML5, CSS3, SCSS).
— Умение работать с дизайн-системами, коллекциями компонентов (Untitled UI React, shadcn/ui), опыт ведения UI-kit в Storybook.
— Опыт написания тестов (Jest, Vitest, React Testing Library).
— Навыки проведения code review и менторства.
— Системное мышление, умение упрощать сложные системы, критическое мышление.
Будет плюсом:
— Опыт работы в финтехе или highload-проектах.
— Наличие портфолио / ссылок на GitHub или участие в open-source проектах.
Условия:
— Полностью удаленный формат работы.
— Встречи и корпоративные мероприятия в офисе Москва/Вологда.
— Окладная часть + KPI.
— Возможность влиять на архитектуру и выбирать технологии.
— Работа в сильной команде, поддержка профессионального роста.
— Интересные задачи в быстрорастущем проекте.
УдалённоseniorГеография найма не уточнена, офис: Москва
seniorUnited States - Remote
seniorRenton, Washington, United States
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