Location: Remote
Workplace: remote
We're looking for a Senior Backend Engineer to join our backend team at Zerion.
This team builds and evolves the backend systems at the core of our products and customer-facing solutions.
In this role, you'll design and operate distributed systems, work with Web3 infrastructure, and collaborate closely with product, support, and the clients building on our API to deliver reliable, scalable solutions.
We value strong ownership, thoughtful system design, and a high bar for code quality.
If you enjoy building solid systems, moving fast without cutting corners, and using AI as a core part of how you work, you'll feel right at home with us.
What You’ll Do
Design, build, and maintain
scalable distributed backend systems
powering platform and product capabilities.
Own
backend services end-to-end
: from architecture and implementation to monitoring and long-term reliability.
Work closely with
product and engineering peers
to actively shape product decisions — not just execute specs.
Scope
solutions with the clients
building on our API: turn a vague request into a concrete proposal, and the proposal into a plan the team can build.
Build and evolve
Web3 platform backend components
, including protocol integrations, support for newly emerging blockchain networks, and reliable interactions with smart contracts.
Ensure
high standards of code quality
, performance, security, and observability.
Operate comfortably in a
fast-paced startup environment
, balancing speed and correctness.
Use AI as a core part
of your engineering workflow — designing, reviewing, debugging and shipping with it. This is how the team works day to day, not an experiment we're running.
Contribute to
technical discussions
, reviews, and mentorship within the engineering team.
What We’re Looking For
5+ years
of experience designing and building
distributed backend systems
.
Strong knowledge of
algorithms, data structures, and software design patterns
.
Comfortable working in a
fast-paced startup environment
.
Strong desire to
actively contribute to product evolution
, not just implementation.
Comfortable
working directly with customers
— hearing a vague problem and coming back with a concrete proposal.
Hands-on,
daily use of AI in your engineering work
. You should be able to talk concretely about where it has changed how you build, and where you've learned not to trust it.
High standards for
code quality, system reliability, and user experience
— you care about getting it right, not just getting it done.
Strong
ownership mindset
— you take responsibility for outcomes, not just tasks.
Clear and proactive
communication
in a distributed team.
Pragmatic decision-making: knowing when to
move fast vs. go deep
.
Ability to
learn quickly and adapt
.
Technical Skill Set
Excellent knowledge of
Golang is a plus, not a blocker.
Experience with
containerized systems
: Docker & Kubernetes.
Experience with
databases
:
SQL: Postgres
NoSQL: MongoDB, Cassandra
Experience with
monitoring and observability tools
: Sentry, Prometheus, Grafana.
Hands-on experience with
AWS (Amazon Web Services)
.
Experience with
Python 3
.
Comfort experimenting with and integrating
AI-assisted workflows
into daily engineering work.
Bonus Points
Hands-on Web3 experience:
Blockchain systems, dApps, Smart contracts.
Prior experience in a
startup environment
that emphasizes
trust and autonomy
.
Located in
time zones close to Europe
for smoother collaboration.
Collaborative mindset
and respect for different perspectives.
Curiosity and willingness to
challenge existing solutions
when better ones exist.
Interview Process
Screening Call
– 30 minutes
Hiring Manager Interview
– 45 minutes
Technical Interview
– 90 minutes (includes a real-world challenge where you'll work with AI tools directly)
System Design Interview
– 90 minutes
Team Interview
– 60 minutes
Founders Call
– up to 60 minutes
Reference Check
Why You Should Join
Company Overview
Zerion API
Trusted by 50+ top crypto and fintech brands
Powering 2k+ active clients monthly
Over 10B total requests processed
A lean, senior AI-native team shipping at outsized scale
Zerion Wallet
1.7M+ active funded wallets
27.6M+ transactions
2.5B+ transaction volume
416K+ unique holders of Zerion DNA NFT
Culture: Our culture shines through in our strong team engagement and impressive retention, showing just how much we value creating a workplace where people truly want to stay and thrive.
People: Collaborate with some of the most driven and intelligent individuals in the crypto space.
Salary & Benefits: Receive a competitive salary, medical insurance, coworking membership, and additional benefits.
Unlimited Days Off and Flexible Work Schedule: Recharge and explore life outside the office with our flexible time-off policy and work schedule.
Remote Work Essentials: We provide all the necessary software and equipment to ensure you're fully equipped to work from home comfortably and efficiently.
Stock Options: Contribute to Zerion's success and watch your stock options become valuable.
Travel: Connect with your teammates around the world at industry events and our annual team offsite.
Distributed Team: Zerion is a fully remote team with members worldwide. Embrace asynchronous collaboration, find your own work rhythm, and enjoy a healthy work-life balance.
To ALL recruitment agencies and individual recruiters: Zerion only accepts resumes from its partners, with whom Zerion has contractual relations. Zerion is not responsible for any fees or charges associated with unsolicited resumes.
We read every application in full before moving forward - as part of that, please include the word WATERMELON somewhere in your answer to the application question below
About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
— We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
— Learning budget of £1,000 a year for training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Задачи:
• Сопровождение конфигурации 1C (конфигурирование), администрирование, доработка под задачи бизнеса;
• Создание отчетов, обработок, печатных форм по заявкам пользователей;
• Интеграция с внешними сервисами и учётными системами по различным технологиям обмена;
• Консультирование и обучение пользователей;
• Настройка параметров, разработка и оптимизация новых функций конфигурации.
Требования:
• Образование средне-профессиональное либо высшее по направлению деятельности;
• Знание языков программирования 1C;
• Умение разрабатывать и читать программный код;
• Знание и понимание возможностей 1C;
• Умение работать с базами данных Microsoft SQL, Oracle Database, будет преимуществом;
• Знание языков программирования C, C++, Java, JavaScript, Python, Swift будет вашим преимуществом.
Условия:
• Работа в международной строительной компании на промышленном проекте федерального значения (Ленинградская область, п. Усть-Луга);
• Трудоустройство по ТК РФ с первого рабочего дня и на весь период выполнения проекта;
• "Белая" заработная плата без задержек;
• Все переработки оплачиваются;
• Срочный трудовой договор на период реализации проекта по 2028 г.;
• Для иногородних сотрудников комфортное проживание в общежитиях гостиничного типа на территории строительного объекта, спальные и санитарные принадлежности предоставляются;
• Столовая в шаговой доступности, 3-разовое питание;
• Медицинская помощь;
• Для местных сотрудников ежедневный трансфер в Кингисепп, Сосновый бор, п. Усть-Луга и обратно;
• Трансфер на выходные в г. Кингисепп;
• Ежегодный оплачиваемый отпуск;
• СИЗ, спецодежда, по сезону;
• Детальные условия и размер заработной платы обсуждаются по результатам собеседования.
УдалённоУсть-Луга
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: San Francisco, CA
Workplace: OnSite
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for an IT Site Specialist to join our IT Team at Ramp based in our San Francisco office! This is a temporary full-time on-site role that blends hands-on, in-person site support with ownership of our core SaaS application stack, and we weigh both sides equally. On the site side, you’ll be the primary IT presence in SF — owning deskside support, onboarding/offboarding, endpoint and AV support, and office inventory. On the application side, you’ll administer the tools the whole company depends on — Okta, Google Workspace, Slack, JAMF, and a growing set of SaaS platforms — owning provisioning, access, portfolio, renewals, integrations, and automation. We’re looking for someone who takes pride in running a smooth on-the-ground operation while also thinking like a systems owner who scales IT through automation and sound identity practices.
WHAT YOU’LL DO
- Provide in-person support at our San Francisco office 5 days/week, acting as the site’s primary IT point of contact.
- Perform IT Support Specialist (L4) duties, encompassing all responsibilities of the IT Support Specialist role.
- Provide deskside/walk-up support and resolve IT tickets end-to-end.
- Handle advanced troubleshooting and internal escalation before handoff to Pod 2 – IT Engineering.
- Triage and field support requests across tickets, email, Slack, and the team-it-ops and help-it distros; proactively work to minimize volume and improve SLAs.
- Direct and review Serval (AI support agent) workflow runs — step in when automated resolution fails, and contribute workflow builds and guidance improvements.
- Coordinate application onboarding/offboarding tied to lifecycle events (joiner/mover/leaver) — provisioning, deprovisioning, and access changes across the SaaS stack.
- Administer core applications (Okta, Google Workspace, Slack, JAMF, and other SaaS tools): user lifecycle, group/role management, and SSO/SCIM integrations.
- Own application portfolio management — seat counts, usage tracking, and license optimization.
- Manage SaaS renewals — tracking contract dates and coordinating renewals/cancellations.
- Partner with Pod 3 on SaaS App Strategy execution from an operational/usage standpoint.
- Build and maintain integrations and automations to reduce manual work and enforce least-privilege access.
- Manage on-site hardware inventory, lifecycle, and procurement coordination — stock levels, reorder requests, and coordinating with fulfillment vendors (e.g., Firstbase, SHI, CDW, Amazon).
- Support AV/conference room reliability in the SF office.
- Take ownership of small and large projects, partnering with internal and external teams to deliver.
- Perform recurring audits on application licenses, access, and hardware; drive remediation.
- Create technical and user-facing documentation; push the team toward industry best practices.
- Be an advocate for our users — understand their challenges and remove blockers with empathy.
WHAT YOU NEED
- Minimum 4 years of technical experience in an enterprise-size organization, with hands-on experience in both on-site IT support and SaaS/application administration.
- Strong knowledge of our core tech stack: Okta, Google Workspace, Slack, JAMF, and modern SaaS tools.
- Solid understanding of User Lifecycle Management, identity/access management, and least-privilege principles.
- Experience with SSO/SCIM provisioning and building integrations or automations across SaaS platforms.
- Experience managing SaaS application portfolios, license optimization, and vendor renewals.
- Experience with deskside support, ticket resolution, and knowing when to escalate to an engineering team.
- Comfort owning the physical site experience — endpoint troubleshooting, AV, and inventory — alongside back-end application administration.
- Strong attention to detail, execution-oriented, and comfortable owning ambiguous, cross-functional work.
NICE-TO-HAVES
- Experience in high-growth startups.
- Experience managing macOS/Windows in hybrid/remote environments.
- Scripting/automation experience (e.g., Python, API integrations, workflow tools).
- Experience with AI-assisted support tooling and workflow automation (e.g., Serval or similar).
- Experience coordinating hardware procurement with fulfillment vendors (e.g., Firstbase, SHI, CDW).
- Okta Certified Professional / Administrator.
- Slack Certified Admin.
- Google Workspace Administrator experience.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Paris; Singapore
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an Applied AI Engineer on the Proto team, you will lead the design and delivery of robust, production-grade AI systems in rapid development cycles. The Proto team sits at the intersection of product and customer, turning advanced technology into meaningful, real-world solutions. You will be deeply involved in both client-facing and internal projects, ensuring Mistral’s capabilities directly address business needs and drive measurable value.
You will translate complex, often ambiguous business requirements into engineered solutions that work at scale. In this role, you guide technical decisions, collaborate closely with internal teams and customers, and help shape product direction by pressure-testing what’s possible. Your work will unlock new business opportunities and help drive continuous product improvement.
WHAT YOU WILL DO
- Deliver end-to-end full-stack AI solutions from project scoping through deployment
- Partner with customers to clarify needs, define requirements, and architect robust systems
- Ship ready-to-use applications for both clients and Mistral’s internal teams
- Lead architecture and technical choices, ensuring solutions are scalable and reliable
- Diagnose and solve complex technical problems across various industries and use cases
- Contribute to internal tools, product improvements, and open-source initiatives
- Evaluate and integrate new technology capabilities into existing systems
WHAT WE'RE LOOKING FOR
- At least 2 years building and deploying production AI products or systems
- Strong experience with vibe coding tool, with high regards for clean code & high architecture standards
- Experience working with modern GenAI stacks with expertise in RAG, Agent, Evaluation & Orchestration.
- Strong Python skills, with experience in scalable backend frameworks like FastAPI
- Familiarity with frontend development, ideally using frameworks such as React or Vue
- Ability to quickly understand business needs and translate them into technical plans
- Skilled at explaining complex technical ideas to diverse stakeholders
- Track record of collaborating effectively across different teams
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors.
You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast.
What you'll do
Turn the forecast into per-tranche requirements.
Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates.
Qualify tranches for deliverability before signature.
The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that region on that date, with storage, egress, identity in place.
Close the delivery loop.
Track forecast-versus-delivered on shape, region, and timing for every tranche; publish the variance; and feed it back to Demand Planning and into the next contract.
Own the bring-up system of record.
Define the canonical contract-to-occupied state machine with explicit entry and exit criteria per stage, and make it a first-class object in the capacity data layer so every downstream tool sees in-flight capacity, not only what has landed.
Run a portfolio of bring-ups in parallel
— new cloud regions, on-prem sites, neocloud blocks — with one integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing.
Drive readiness automation:
All capacity systems are fully integrated for all new capacity, from contracted through ingested, automated and scaled.
Instrument and publish the numbers that matter
— time-to-occupied and paid-idle dollars per tranche — with executive-level reporting on status, tradeoffs, and risk across the portfolio.
What you bring
Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent).
Technical range from through cluster orchestration and node health, up to the telemetry and planning tables on top — enough to debug where they disagree rather than route it.
SQL and enough Python to answer your own questions and build your own reporting.
A degree in a technical field or an equivalent engineering track record.
Preferred
Reserved-capacity onboarding, private offers, or capacity commitments with cloud or neocloud providers.
Enough demand-planning exposure to challenge a forecast, translate it into per-tranche requirements, and feed delivery variance back into it.
Data center or colocation delivery: power and space planning, network turn-up, site acceptance, vendor management.
Accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs — and a rigorous definition of "healthy."
Systems of record or lifecycle services for infrastructure assets.
Onboarding a new hardware generation into an existing scheduler and observability stack.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Обязанности:
• Разработка ПО для операционных систем Linux на языках C++, Python, JavaScript, Bash
• Создание приложений IP-телефонии с использованием фреймворка Qt
• Работа в современном технологическом стеке: Git, CodeReview, Redmine, GitLab, Jenkins
• Участие в завершающих стадиях проектов (возможны непродолжительные командировки на судостроительные заводы и объекты флота)
Требования:
• Опыт работы на языках C++ / Python в среде Linux
• Опыт создания приложений с фреймворка Qt, std, Boost
• Опыт работы в IP-телефонии будет плюсом
• Опыт разработки сетевых приложений с использованием стека TCP/IP (сокеты, UDP, TCP)
• Готовность к командировкам
• Наличие военного билета (для военнообязанных)
Условия:
• Оформление по ТК РФ, стабильные выплаты
• Бесплатная развозка от/до метро «Приморская»
• Частичная компенсация питания
• Обучение за счет компании (курсы, сертификация)
• Резерв от мобилизации
• Работа в современном офисе
Задачи:
— Проектирование, разработка и сопровождение ETL/ELT-пайплайнов с использованием Snowflake и SQL
— Управление облачной инфраструктурой на AWS (S3, Glue, Lambda, CloudWatch, IAM)
— Написание чистого и поддерживаемого кода на Python
— Автоматизация развертывания и настройки инфраструктуры через Terraform
— Оркестрация рабочих процессов с помощью Apache Airflow
— Мониторинг и устранение неполадок в пайплайнах, контроль качества данных и производительности систем
— Совместная работа с дата-сайентистами, аналитиками и разработчиками для создания масштабируемых решений
Требования:
— 5+ лет коммерческого опыта в Data Engineering или смежных областях
— Глубокие знания Snowflake и продвинутый уровень владения SQL
— Реальный опыт работы с AWS (S3, Glue, Lambda, CloudWatch, IAM)
— Уверенное владение Python для обработки данных и автоматизации
— Практический опыт использования Terraform (инфраструктура как код)
— Опыт работы с Apache Airflow для оркестрации пайплайнов
— Отличные коммуникативные навыки и английский язык уровня C1
— Способность работать самостоятельно в распределённой команде
Будет плюсом:
— Опыт интеграции и разработки REST API
— Знание CircleCI или других CI/CD-инструментов
— Опыт работы в полностью удалённых международных командах
— Понимание принципов управления данными и безопасности
Локация: Удалённо (предпочтительно за пределами РФ и РБ, желательно страны Латинской Америки или Канада)
График работы: по восточному времени США (EST) до 17:00, с привязкой к американскому рабочему календарю.
Уровень английского языка: C1 (продвинутый профессиональный)
Location: United States
Workplace: Remote
We are looking for a Senior Analyst, Strategy & Planning to serve as the operational counterpart to FP&A inside Revenue Operations. This role is accountable for headcount and expense management, comp plan execution, forecast roll-ups, and the analytical work that keeps the GTM organization on plan.
Reporting to the Director of Strategy & Planning, you will partner directly with FP&A and across Revenue Operations. This is a high-visibility individual contributor role with broad exposure to the operating mechanics of the GTM organization.
WHAT YOU'LL BE DOING
- Program-manage the annual planning cycle across Sales and Finance: own the timeline, drive the deliverables, coordinate stakeholders, and synthesize the output into a single plan.
- Own headcount and expense management for the GTM organization: track plan vs. actual, manage requisitions, partner with hiring managers and recruiting on capacity.
- Run the comp plan modeling and execution cycle: scenario modeling, plan documentation, exception handling, and partnership with the comp administrator on payout accuracy.
- Build and maintain forecast roll-ups across regions and segments. Partner with FP&A on variance analysis and corporate forecasting.
- Support territory and quota deployment: produce the analytical work that underpins the annual plan and mid-year adjustments.
- Maintain the Strategy & Planning analytical layer: dashboards, recurring reports, and the data quality work that makes the rest of the team's work possible.
- Partner with FP&A on month-end close, commissions accruals, and revenue reporting.
WHAT YOU BRING ALONG
- 5+ years in revenue operations, sales finance, FP&A, strategic finance, or a similar analytical role. SaaS or consumption-based business model experience preferred.
- Owner-operator mindset. You treat your scope as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you measure it by what it produces.
- Comfortable program-managing a cross-functional process. You can hold a timeline, drive deliverables across Sales and Finance leadership, and synthesize across stakeholders without being told how.
- Strong financial modeling skills. Driver-based modeling in Excel and Google Sheets, built independently.
- SQL fluency required; Python a plus. Familiarity with ClickHouse, dbt, or a comparable modern analytics stack. Comfort working in code, not just spreadsheets.
- Working knowledge of accounting principles: how revenue, commissions, and expense flow through the financial system.
- Detail-oriented and comfortable with operational rigor. You see controllership as a discipline, not a chore.
- Strong written and verbal communication. Able to translate analytical work into clear recommendations for senior stakeholders.
- Familiarity with Salesforce, comp administration platforms (CaptivateIQ, Spiff, or similar), and BI tools.
- Bachelor's degree in a quantitative field
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb
SENIOR RUST ENGINEER - HIGH FREQUENCY TRADING (HFT)
ABOUT KEYROCK
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
MISSION STATEMENT
We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage.
As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones.
JOB DESCRIPTION
- Design, develop, and optimise low-latency, mission-critical trading systems
- Own key trading stack components end-to-end — from architecture through to production operation
- Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience
- Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence
- Troubleshoot complex production issues across exchange connectivity, execution, and market data handling
- Drive engineering standards through technical leadership, code reviews, and mentoring
- Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling
- Contribute to functional, component, and production-readiness testing for critical trading components
BACKGROUND AND EXPERIENCE
TECHNICAL SKILLS
- Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage
- Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk
- Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting
- Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling
- Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds
- Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK)
- Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation
- Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems
SENIORITY & COMPETENCIES
- Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise.
- Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions.
- Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes.
- Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions.
- Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you.
- Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation.
- Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team.
OUR RECRUITMENT PHILOSOPHY
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes.
OUR OFFER
- A competitive salary package
- Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
- The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
https://keyrock.com/careers/
Location: Sweden
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams.
As a Solutions Engineer, you can expect to:
- Collaborate strategically with Account Executives to enhance the technical aspects of the sales process.
- Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions.
- Craft compelling technical demonstrations that clearly communicate our product's value proposition.
- Create technical enablement resources that amplify our sales team's effectiveness and technical fluency.
- Build self-service tools and documentation that empower customers to implement solutions independently.
- Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real!
REQUIREMENTS
We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you:
- Are passionate about AI, technology and ElevenLabs products.
- Enjoy working directly with customers, iterating on solutions and providing tailored support
- Have a talent for identifying patterns that can be standardized and scaled.
- Have strong empathy for customers, sales and product teams.
- Have a strong technical background in order to help customers architect integration between our solutions and their existing solutions
- Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity
- Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns.
- Excellent communication skills with the ability to adapt messaging to different audiences.
Location
This role is remote-first, so it can be executed from anywhere in Sweden, with a preference of Stockholm. Expect regular travel for customer onsites. Fluency in English and Swedish and a deep understanding of the regional and cultural nuances is required.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. As an early member of the Observability Team, you will be pivotal in building and shaping the observability experience for our internal and external customers. By joining this team, you’ll have a direct impact on the reliability and operational excellence of Baseten's product systems.
As Baseten scales its infrastructure across different cloud providers and diverse hardware, the volume and complexity of operational data is growing by orders of magnitude. This team is responsible for building high-throughput ingest pipelines, cost-efficient storage, and agentic diagnostic tools to ensure that we can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become more complex.
RESPONSIBILITIES
- Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure
- Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
- Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services
- Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise
- Partner with Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization
REQUIREMENTS
- Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others
- Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale
- Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems
- Have strong proficiency in at least one of Python, Rust, or Go
- Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
- Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
- Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
As a
Staff Software Engineer
, you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.
This is a full-time, fully remote position. We do expect the successful candidate to come to the Oakland, CA office from time to time.
Technologies You'll Use
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history
Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
Coach and mentor engineers, demonstrably improving the quality of code across the team
Write technical specs, document common components, and keep the team accountable for necessary project documentation
Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
Participate periodically in the on-call rotation
Skills We're Looking For
8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
Deep expertise designing and owning subsystems in distributed, cloud-based systems
Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience architecting metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Задачи:
— Служить стратегическим партнёром и советником для продуктовых менеджеров и бизнес-лидеров, предоставляя рекомендации на основе данных по оптимизации клиентского опыта.
— Совместно с продуктовыми менеджерами, дизайнерами и инженерами разрабатывать и проводить эксперименты для поддержки продуктовых разработок.
— Определять стратегию измерения состояния программ и операционной эффективности, включая разработку метрик, отчетности и мониторинга.
— Проводить глубокий анализ ключевых метрик клиентского опыта для выявления трендов и возможностей, что будет основой для дальнейших исследований.
— Разрабатывать и представлять аналитические отчёты и выводы старшим операционным руководителям, фокусируясь на проблемах и решениях.
— Поддерживать создание и обслуживание основных отчетных абстракций (созданных в dbt), BI-отчетности и AI семантических слоёв.
Требования:
— Минимум 4 года опыта работы с комплексными наборами данных для поддержки принятия решений в организации.
— Практический опыт проведения A/B тестов и проектирования экспериментов.
— Отличные устные и письменные коммуникативные навыки, умение ясно и кратко излагать результаты анализа.
— Способность самостоятельно переводить вопросы заинтересованных сторон в чёткие аналитические задачи.
— Опыт создания данных абстракций с использованием DBT или Airflow и работы с инструментами визуализации данных (Mode, Looker, Periscope, Tableau).
— Уверенное владение SQL, способность проверять код других аналитиков и дата-сайентистов.
Желательно:
— Магистерская степень в количественной области или опыт прикладной статистики.
— Навыки программирования на Python или R.
— Опыт использования AI инструментов для аналитики.
— Опыт работы с данными инструментов клиентской поддержки (например, Zendesk).
— Опыт прогнозирования рабочей силы.
Условия:
— Работа в гибридном формате: два дня в неделю в офисе в районе Побленоу, Барселона.
— Зарплата в первом году от €47,124 до €57,120 в зависимости от опыта и квалификации.
— Долгосрочный план стимулирования с выплатами на основе результатов компании.
— Пенсионный план, частная медицинская страховка, 25 дней отпуска, компенсация питания и транспортных расходов, абонемент в спортзал, компенсация расходов на усыновление питомца, ежегодное возмещение расходов на здоровье €150.
— Гибкий график работы с некоторыми обязательными временными рамками.
— Дружелюбный к животным офис и регулярные командные мероприятия.
Задачи:
— Владение функциями автоматизации споров от начала до конца, включая отслеживание сроков, сбор доказательств и шаблоны ответов.
— Расширение охвата жизненного цикла споров на дополнительных поставщиков платежных услуг.
— Разработка компонентов движка правил и сигналов, включая правила скорости, черные списки и отпечатки устройств.
— Улучшение интеграций с поставщиками по борьбе с мошенничеством и помощь торговцам в сравнении и переключении между поставщиками.
— Написание RFC и ADR, принятие архитектурных решений, самостоятельная работа с менеджментом продукта и инженерии.
— Вклад в бэкенд-системы и, при необходимости, во фронтенд панели управления спорами.
Требования:
— Недавний опыт самостоятельной разработки готового к производству бэкенд- или full-stack ПО от этапа планирования до выпуска.
— Способность писать RFC и принимать архитектурные решения с минимальным контролем со стороны старших специалистов.
— Готовность перейти на Python без предыдущего опыта работы с ним.
— Сильные практики тестирования, наблюдаемости и безопасности.
— Готовность работать в условиях неопределенности и высокой ответственности в команде на ранней стадии.
Плюсы:
— Знание правил карт, процессов возвратов платежей или интеграций с поставщиками по борьбе с мошенничеством.
— Опыт работы с системами событий на основе вебхуков, движками правил или платформами оркестрации.
Условия:
— Полностью удаленная работа в глобальной распределенной организации.
— Неограниченный отпуск с минимумом 25 дней.
— Workations, ежегодный корпоративный ретрит и доступ к коворкингам в крупных городах.
— Конкурентные опционы и щедрый бюджет на обучение.
— Оборудование для работы и 500 фунтов на обустройство домашнего офиса.
— Частная медицинская страховка и дополнительные льготы в зависимости от локации.
Процесс найма:
— Вводный звонок с Talent Partner.
— Интервью с Hiring Manager и выполнение задания, связанного с ролью.
— Финальное интервью на соответствие ценностям.
Location: United States, Aliso Viejo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Software Engineer Cloud Engineering (Contractor)
We are seeking a
Senior Software Engineer
to be part of a new engineering team supporting our Cloud Streaming platforms. This individual will partner closely with existing domain experts, develop deep expertise in complex distributed systems, and serve as the technical foundation for building a new high-performing team.
What You’ll Do
Design and implementation of features in distributed back end systems
Ownership of the implementation and delivery of well-defined features from start to finish
Implementation of unit tests via testing frameworks
Define and craft integration tests with Test Engineering
Solve performance and reliability issues at a global scale
Triage and fix reported bugs
Communicate estimates, schedules, issues, and dependencies to technical or project lead
Requirements
BS in Computer Science (or equivalent experience)
5+ years of relevant experience
In-depth experience in Java
Experience with AWS technologies and managed services
Knowledge of Kubernetes, Docker, Helm
Development experience with Linux
Intermediate knowledge of version control tools such as git, Github and GitLab
Familiarity with CI/CD pipelines, ArgoCD
Knowledge in NoSQL, Prometheus, Elasticsearch, and other CNCF technologies
Deep understanding of distributed systems, storage architectures (object/block), networking, and high-availability design
Understanding of concepts such as concurrency, parallelism, and event driven architecture
Knowledge of Web technologies including REST and gRPC
Strong communication and documentation skills
Nice to Have
Experience with Python or Rust a plus
Familiar with Agile development concepts
Experience with streaming platforms, cloud gaming, or large-scale distributed systems
Infrastructure-as-code experience (CDK, Terraform)
Familiarity with AI-assisted development tools and modern cloud-native practices
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Обязанности:
• Участие в проектах в качестве стажера – разработчика DWH, ETL, BigData
• Разработка сценариев обработки данных ETL, ELT
• Проектирование логических и физических моделей данных в DWH
• Написание проектной технической документации
• Знакомство с новыми продуктами и технологическими стеками
Требования:
• Высшее техническое образование или студент старших курсов
• Базовые знания SQL и СУБД
• Базовые знания DWH, Data Lake, ETL и желание развиваться в сфере работы с данными
• Знания англ. языка на техническом уровне или выше
• Пройденный офлайн/онлайн курс по любой из тем: СУБД, DWH, BigData, ETL (будет плюсом)
• Опыт построения моделей данных для СУБД в т.ч. с применением CASE-инструментов (будет плюсом)
• Знания принципов и методологий построения решений класса DWH (будет плюсом)
• Знания в части работы ETL-процессов и инструментов (будет плюсом)
• Знания в области БД (Hive, ClickHouse, GreenPlum, PostgreSQL, Oracle DB, MS SQL или другие) (будет плюсом)
• Знания языков программирования Python, Java, Scala и т.д. (будет плюсом)
Условия:
• Зарплату, соответствующую опыту и навыкам
• Прозрачную систему мотивации
• Работу в компании с аккредитацией в Минцифре
• Курсы и тренинги от корпоративного университета, внешнее обучение за счет компании
• Расширенный пакет ДМС со стоматологией и психологом, телемедицина 24/7, HotLineCROC
• Сезонные спортивные программы, современный спортзал для занятий в офисе, беговой клуб, приложение Croc Sport, командные соревнования
• Совместные путешествия, праздники, тимбилдинги, клуб путешественников
• Возможность гибко строить свой карьерный трек
• Выступать на внешних и внутренних митапах и конференциях, писать в техноблоги, участвовать в образовательных программах
• Компенсация питания в CROC Cafe, экосистема сервисов, парковка, корпоративный транспорт от метро
СтажёрГеография найма не уточнена
ГибридleadLondon
seniorГеография найма не уточнена
ОфисSan Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
Paris; Singapore; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
География найма не уточнена
УдалённоseniorUnited States
seniorBrussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb; This role is open to candidates located in European time zones
УдалённоSweden
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
