Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
ABOUT THE ROLE
Checkout.com http://Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems.
KEY RESPONSIBILITIES
- Lead projects and architecture design for multi-objective optimisation and scalable models.
- Create custom loss functions, evaluation, and tuning frameworks that reflect complex business problems.
- Collaborate with product stakeholders to align technical strategy with business goals and resolve blockers across the team.
- Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems.
- Mentor junior team members and utilise model explainability methods to drive feature performance improvements.
ABOUT YOU
- 5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems.
- Deep understanding of frequentist and Bayesian statistics, plus supervised and unsupervised modelling techniques.
- Proven experience modelling complex interactions (e.g., cluster or network effects).
- Expertise in model explainability to tune feature engineering and understand feature interactions.
- Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders.
- Proficient in leveraging LLMs for coding support and process optimisation to maximise personal and team productivity.
- Adept at tuning technical communication for broad audiences.
- Proven ability to build trusting relationships with product stakeholders and deeply understand business models.
NICE TO HAVE
- Experience with distributed general-purpose cluster-computing.
- Proven experience designing and deploying recommender systems, contextual bandits, or network intelligence applications.
- Experience in fintech, payments or similar domains.
- Experience with Docker, AWS/GCP, and modern ML deployment practices.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Your job is to build Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service. This opportunity is similar to joining AWS or Heroku in their early days, designing and architecting our platform by wearing many different hats in our small team. As an experienced engineer, you will write tons of code and make critical decisions about delivering the best experience to our customers. This certainly requires deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind. Joining an early stage startup, the payoff to this highly demanding environment will be worth the effort.
You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading).
Who You Are (Must-Haves):
Strong, experienced software engineer with lead experience is preferred
Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python
Low latency and high throughput optimization
Experience with messaging queues and message brokers
Analytical data-oriented mindset and skills
Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
System design skills with object-oriented data modeling, service-oriented architectures, system abstraction
Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)
Who You Might Be (Nice-to-Haves):
Algo trading experience (either professional or personal)
FIX protocol knowledge
Experience with observability, tracing, continuous profiling and benchmarking
Financial market (exchange, broker-dealers, clearing, etc.) knowledge
Experience with financial ledgers
Statistical and quantitative analysis skills
Experience with major cloud platforms (we primarily use GCP)
Experience with Docker and Kubernetes
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Задачи:
- Автоматизировать тестирование компонентов Arenadata Hyperwave (ADH) и Arenadata Hyperwave Cloud (ADHC): Spark, Impala, Trino, Kyuubi, Hive, HBase, Ozone, HDFS, YARN, Airflow, Flink;
- Тестировать развёртывание и эксплуатацию платформы на bare metal, VM и в Kubernetes;
- Разрабатывать и развивать тестовые фреймворки на Python для распределённых Big Data-систем;
- Писать интеграционные и e2e-тесты на реальных кластерах: функциональность, отказоустойчивость, производительность;
- Поддерживать и развивать CI/CD-пайплайны автотестов;
- Работать с разработчиками, архитекторами и QA над качеством релизов;
- Делать код-ревью тестового кода.
Требования:
- Опыт коммерческой разработки на Python от 4 лет;
- Умение применять SOLID, DRY, KISS при проектировании тестовых фреймворков;
- Знание паттернов проектирования (Factory, Strategy, Builder, Resource Object) для гибких и масштабируемых решений;
- Экспертное владение pytest: сложные фикстуры, параметризация, плагины (pytest-xdist и другие);
- Опыт использования Linux (Core Utils, Bash): файловые системы, права, процессы, сетевые утилиты;
- Опыт тестирования систем развёртывания и конфигурации распределённого ПО, плюсом будет Ansible, Terraform или Puppet;
- Сетевой бэкграунд: HTTP(S), TCP/IP, SSH, сертификаты;
- Опыт настройки и поддержки CI/CD-пайплайнов (Jenkins, GitLab CI, TeamCity, GitHub Actions);
- Опыт работы с Docker и Kubernetes на уровне эксплуатации и отладки.
УдалённоГеография найма не уточнена
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: Panama City, Panama
B2B Sales Development Representative
(SDR) focuses on outbound prospecting and inbound lead qualification. Their primary goal is to research ideal targets, initiate contact, and schedule qualified meetings for Account Executives to close. This role forms the foundational top of the sales pipeline.
Core Responsibilities
Outbound Prospecting:
Build targeted lead lists and execute multi-channel outreach via cold calling, personalized email sequences, and LinkedIn.
Lead Qualification:
Assess inbound and outbound leads using standard frameworks to determine the prospect's needs, budget, authority, and timeline.
Meeting Scheduling:
Conduct initial discovery calls to spark interest, answer basic product questions, and book demos for Account Executives.
Pipeline Management:
Log all outreach activities, call notes, and prospect interactions into a Customer Relationship Management (CRM) platform (e.g., Salesforce, HubSpot).
Collaboration:
Partner with marketing and sales leadership to refine messaging, share market feedback, and optimize campaign effectiveness.
Requirements
Key Requirements
·
Excellent English communication skills — C1 – Native (written and spoken)
Experience:
2-5 years of experience in B2B sales development account management, or a similar quota-driven environment.
Communication Skills:
Excellent written and verbal communication to articulate a compelling value proposition.
Technical Skills:
Proficiency with CRM platforms, virtual meeting tools, and data analysis software, experience using tools like Salesforce, HubSpot, LinkedIn Sales Navigator, and sales engagement platforms.
Active Listening:
The ability to quickly understand a prospect's business pain points and ask qualifying questions
Please submit your current resume in English.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners.
Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience in financial systems, ledgering, treasury or adjacent domains where data accuracy and system reliability are critical.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
Base Pay Grade - P
Equity Grade - Canada 7
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $181,000 - $241,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners.
Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience in financial systems, ledgering, treasury or adjacent domains where data accuracy and system reliability are critical.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade - P
Equity Grade - USA 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000
USA base pay range (all other U.S. states) per year: $204,000 - $264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX)
own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE)
embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer.
When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed;
you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for
.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack.
Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engine
Location: Portugal; Albania; Georgia; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Armenia; Italy; Spain; Malta; Romania; Ireland; Croatia; Serbia; Montenegro
Workplace: Remote
ABOUT BLOCK LABS
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products.
We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence.
We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong.
THE ROLE
Data & Intelligence now sits at the centre of several products we are developing, and we need a platform that is both dependable and capable of supporting more advanced intelligence over time.
This role reflects that shift. We are designing a new data platform that will act as the backbone for everything from real time decisioning to predictive modelling. As a Data Platform Engineer in the Data Team, you will own the end-to-end real-time pipeline, serving data across a unified analytical warehouse and feature-serving layer. You are not building dashboards. You are engineering the commercial nervous system of a multi-tenant platform designed to scale from one operator to 10x with marginal infrastructure cost.
KEY RESPONSIBILITIES:
- Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools.
- Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices.
- Implement data contracts between back-office and the platform. Onboarding a new operator is a config change, not new tables, topics, or feature views.
- Build the feature-serving layer providing pre-computed features to AI agents at millisecond latency.
- Integrate with third-party databases, back-office APIs, and external systems (CRM, affiliates, acquisition platforms).
- Establish monitoring, alerting, and maintenance procedures including pipeline health checks, freshness monitoring, anomaly detection, and data contract SLA enforcement.
- Own CI/CD and infrastructure-as-code for data workloads.
- Collaborate with data scientists, agent engineers, BI developers, and infrastructure teams to translate data requirements into reliable, production-grade pipelines.
ABOUT YOU:
- 3+ years building and operating production data pipelines at scale, with hands-on experience across both streaming and batch paradigms.
- Expertise in Apache Kafka (or Amazon MSK): topic design, consumer group management, offset handling, schema registry operations, and production troubleshooting of lag, rebalancing, and throughput issues.
- Strong SQL and warehouse engineering skills: experience with columnar analytical databases (ClickHouse strongly preferred, or similar: Druid, BigQuery, Redshift).
- PySpark / Spark Streaming proficiency: writing transformation jobs that normalise, enrich, and enforce business rules on event streams. Experience with AWS Glue, Apache Airflow, or Apache NiFi is a strong plus.
- Data modelling discipline: ability to design normalised, multi-tenant schemas where tenant isolation is a filter, not a fork. Experience with data contracts and schema governance.
- CI/CD and infrastructure-as-code experience: automated testing of data pipelines, version-controlled deployments (CloudFormation, Terraform, or CDK), and familiarity with containerised workloads (ECS Fargate or Kubernetes).
- Data quality and observability mindset: experience implementing pipeline health monitoring, automated data validation (Great Expectations or equivalent), freshness checks, and anomaly detection.
NICE TO HAVE
- Experience in iGaming, online casino, poker, or sportsbook platforms.
- Exposure to blockchain or crypto-native transaction flows, including on-chain event ingestion, token-denominated accounting, or stablecoin settlement.
- Comfortable operating in an AWS-native environment (MSK, Glue, S3, DynamoDB, ECS, IAM). You understand serverless tradeoffs and can size infrastructure for cost efficiency.
- Feature store experience (SageMaker, Feast, or Tecton) building offline/online feature pipelines that serve ML models at inference time.
- Prior work in regulated industries (financial services, gambling, fintech) where data lineage, auditability, and compliance are non-negotiable.
- Experience migrating legacy query engines (Athena, Trino, Presto) to modern analytical warehouses with reconciliation frameworks to validate correctness.
HOW WE WORK
- Fully remote with asynchronous-first communication. EU time zone overlap is preferred.
- Small, high-autonomy team within the Data function. You report to the Head of Data and co-ordinate with the AI, BI, and Infrastructure Teams.
- Architecture decisions are documented and debated. You will participate in design reviews and own your domain decisions.
- We build for multi-tenant scale from day one. Every pipeline, schema, and contract you ship must absorb a new operator without engineering effort.
- On-call rotation will be established in the run phase. During the build phase, the focus is velocity with quality. No firefighting legacy systems.
What kind of culture can I expect?
Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.
Location: San Francisco
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
We’re hiring a People Business Partner to support our team during a critical phase of growth. This is a highly strategic, high-impact role for someone who has partnered closely with leadership teams and helped organizations scale with intention.
You will be deeply embedded with managers, bringing clarity and rigor to how teams are structured, how leaders operate, and how talent is developed across the organization. You’ll help shape team effectiveness, identify critical talent gaps, drive talent and performance strategies that enable high-performing teams, and build the people practices and change management approaches that allow us to scale with both speed and discipline.
This role requires strong business judgment and the ability to operate with deep context. You’ll partner closely with leaders to navigate complex organizational decisions, anticipate challenges before they surface, and bring a clear point of view on what great looks like at every level of the organization.
RESPONSIBILITIES
Strategic partnership to leadership
- Serve as the trusted people partner to leadership, maintaining deep business context and translating it into people priorities by proactively surfacing systemic issues, risks, and opportunities before they become urgent.
- Bring data-driven insights to advise management on org design, succession planning, performance, retention, and engagement.
- Build management capacity across the org, equipping leaders with the skills and frameworks to hire well, set clear expectations, give direct feedback, and develop their teams.
- Partner with leadership, Talent, and Finance on headcount planning and tracking. Support annual planning and ongoing adjustments to hiring plans as business priorities and team needs evolve.
- Support change management efforts across teams, ensuring leaders and cross functional teams can successfully navigate growth, evolving strategy and changing org structure.
Performance and talent management
- Drive a high-performance culture, supporting clear expectation setting, rapid ramping, ongoing accountability, regular performance reviews, and rigorous performance management.
- Navigate high-stakes people matters (investigations, performance exits, organizational change), balancing compliance and risk management with compassion and a human approach.
- Advise on role architecture, career pathing, and promotion readiness within the org, proactively identifying top talent and flight risks to inform retention and development strategies.
- Collaborate with Compensation on salary benchmarking, equity strategy, and offer approvals to keep hiring competitive and internally equitable.
- Partner closely with People Operations on employee lifecycle execution. Develop best practices and strong documentation practices for role changes, promotions, leaves, and terminations.
- Collaborate with Workplace Experience to ensure teams have what they need across our offices, from team onsites and offsites to day-to-day environment asks.
REQUIREMENTS
- 6+ years of progressive People Business partner experience, partnering with all levels of management, from VP+ leaders to frontline and first-time managers, across a range of functions.
- Experience supporting 400+ employee organizations through rapid growth, with deep expertise in org design, performance management, talent strategy, and leadership development.
- Strong business acumen, with the ability to understand priorities and trade-offs and quickly build credibility and deep context with the functions you support.
- Proven ability to navigate complex, high-stakes people decisions with speed and sound judgment, grounded in risk awareness.
- Highly analytical and first-principles thinker who uses data to diagnose root causes and builds simple, scalable processes over heavyweight systems.
- Thrives in high-growth environments defined by ownership, pace, and ambiguity. High-ownership mindset with a bias toward execution and building repeatable systems.
- Extremely clear written and verbal communication skills, balancing nuance with directness to build trust and align stakeholders.
- Able to work in-person 3+ days per week in San Francisco.
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: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine
Why the Kubernetes Automation Domain?
Kubernetes Automation is Cast AI's core: a family of product teams that turns optimization into real infrastructure. Together, they own the full loop — deciding which nodes to run and where, provisioning them across EKS, GKE, AKS, and our own Cast AI Anywhere, optimizing the workloads on top, and reshaping it all continuously as conditions change. No manual tuning: automation makes the call and makes it happen.
The scale is the point. When demand spikes, the platform brings up 15,000 nodes in a single cluster and gets every pod scheduled in under 45 minutes — and tears a cluster of that size back down in under 15 minutes — across multiple clouds at once, mixing instance types and spot capacity in a single operation. Across a fleet of thousands of customer clusters, our teams make the same high-stakes Kubernetes decisions — add this node, drain that one, move that workload, is this change safe — thousands of times a day, and each one has to land cleanly.
The problems sit at the intersection of Kubernetes internals and cloud-provider behavior, and much of the territory is undocumented. One team might be writing scaling algorithms, another reverse-engineering managed control planes, another migrating running containers between nodes without disruption. The common thread: deep Kubernetes knowledge, strong infrastructure fundamentals, and the judgment to own high-stakes automation in production. If you have that, you can lead any of these teams — you'll be matched with the team that best fits your strengths and interests during the hiring process.
Role overview
We are looking for a hands-on Engineering Manager to join one of our Kubernetes Automation teams. It is a hybrid role: you will manage a team and spend at least half your time in the product code.
Responsibilities as an Engineering Manager
You own product development execution.
Lead, mentor, and grow a team of talented software engineers
Collaborate closely with the Product Owner and stakeholders to align on requirements and roadmaps
Ensure quality, scalability, and resilience in all deliverables
Foster a culture of continuous improvement, innovation, and technical excellence
Be the role model and champion of Cast AI core values
Responsibilities as a Software Engineer
You will work in a highly skilled team across the full development lifecycle.
Take on scaling challenges at fleet level
Participate in feature brainstorming, requirement gathering, and solving customer needs
Design and architect software for scalability, maintainability, and performance
Write clean, maintainable, documented code using best practices
Ensure reliability through test coverage and local testing
Contribute to CI/CD pipelines and the monitoring and alerting stack
Respond to incidents to resolve customer issues or service disruptions
Support the team's code (on-call week every few months)
Requirements
Proven experience managing and leading a technical team
Strong software engineering skills
Strong verbal and written communication skills
In-depth knowledge of Kubernetes and experience managing multi-cloud environments (AWS, GCP, Azure)
Knowledge of cloud-native infrastructure, APIs, and cloud-provider-specific implementation differences
Hands-on experience with IaC tools such as Terraform
Proficient in designing and managing CI/CD pipelines (GitLab CI, ArgoCD) with a GitOps approach
Strong analytical, problem-solving, and troubleshooting skills
What's in it for you?
Competitive salary (up to €10,000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity, we hire from: Bulgaria, Croatia, Cyprus; Estonia, Finland, Greece, Hungary, Ireland, Latvia, Lithuania, Malta, Moldova, Montenegro, North Macedonia, Poland, Romania, Slovakia, Slovenia, Sweden and Ukraine.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.
Location: Europe
Workplace: Remote
About Eneba
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
About the team
We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions.
Responsibilities
- Enable efficient data access by creating and maintaining data pipelines.
- Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
- Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.
- Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes.
- Design new and improve current patterns for building data models and implement necessary modifications.
Requirements
- 5+ years of experience in data engineering or in a similar role.
- Extensive experience with Apache Spark using Python for large-scale data processing.
- Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage.
- Experience with AWS, Azure, or other Kubernetes platforms is a huge plus.
- Must have hands-on expertise with Git for version control and collaboration.
- Solid knowledge of SQL, essential for querying and managing relational databases.
Salary ranges: 55000-72 000 eur gross annually
What it’s like to work at Eneba
*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product.
*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
*Please attach CV's in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
Location: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a high-energy, results-driven Sales Development Representative to join a fast-paced B2B sales engine. In this role, you will be the frontline of our growth strategy, responsible for sparking interest and creating opportunities with key stakeholders. This is a high-volume, high-impact position designed for a hunter who thrives on the phones, excels at overcoming objections, and is eager to accelerate their career in professional sales.
Key Responsibilities
Execute high-volume outbound prospecting campaigns, maintaining a daily output of 80 to 100 cold calls.
Research and identify key decision-makers within target accounts to build a robust sales pipeline.
Qualify leads through rigorous discovery to ensure alignment with our core solutions.
Overcome gatekeepers and navigate complex B2B organizational structures to secure meetings for Account Executives.
Meticulously track all activity and lead status within the CRM to ensure data integrity and seamless handoffs.
Requirements
2+ years of proven experience in a B2B Sales Development Representative (SDR) or Business Development Representative (BDR) role.
Proven track record of managing high-volume cold calling requirements (80-100 calls per day).
Exceptional verbal and written communication skills with the ability to build rapport quickly.
Resilience and a "hunter" mentality; you view rejection as a step toward the next "yes."
Strong organizational skills and the ability to manage a high-velocity workflow.
Nice-to-Haves
Experience using advanced sales tech stacks (e.g., Salesforce, Outreach, Salesloft, or ZoomInfo).
Prior experience in specialized B2B sectors or SaaS environments.
A history of exceeding monthly or quarterly meeting-set quotas.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Location: New York
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
As a Field Marketing Manager, you will lead the development and execution of regional marketing strategies to support sales goals, drive demand, and enhance brand awareness. This role requires a strategic thinker with a builder mentality that has a strong understanding of the New York or San Francisco tech ecosystem.
RESPONSIBILITIES
- Develop and execute regional field marketing plans and programs to align with sales priorities and pipeline goals.
- Plan and manage events to drive demand, accelerate pipeline, and engage customers.
- Own program management, including event logistics, budget oversight, and vendor coordination.
- Analyze and report on campaign effectiveness, providing insights to optimize future initiatives.
- Collaborate with product marketing to align messaging and go-to-market strategies with field initiatives.
- Prioritize seller requests by expected revenue.
- Represent Baseten at industry events and build brand presence in-market.
REQUIREMENTS
- Bachelor’s degree in Marketing, Business, or related field.
- 5-7 years of experience in field marketing in the technology or SaaS industry.
- Proven track record in delivering and optimizing demand generation programs to meet pipeline goals.
- Strong understanding of sales processes.
- Proficiency with marketing tools such as Salesforce & HubSpot.
- Excellent project management skills with the ability to prioritize and execute multiple initiatives simultaneously.
- Collaboratively with a growth mindset.
- Strong interpersonal and communication skills with a collaborative mindset.
- You actively use AI tools to drive your own productivity - in how you analyze data, structure problems, draft communications, and accelerate your work.
- Ability to travel up to 25% for events and meetings.
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: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Job Summary
We are seeking a high-energy, resilient, and results-driven Remote Appointment Setter . In this role, you will be the engine of the sales pipeline, engaging directly with key decision-makers to spark interest and schedule high-value discovery calls. This is a high-volume outbound position designed for a professional who thrives on the hunt and understands that consistency is the key to unlocking massive revenue growth.
Key Responsibilities
Execute high-volume outbound activity, maintaining a pace of 100+ calls per day.
Prospect and qualify B2B leads to ensure a seamless handoff to the Account Executive team.
Effectively navigate gatekeepers and reach decision-makers within target organizations.
Manage a persistent follow-up cadence via phone and email to maximize conversion rates.
Maintain clean and accurate records of all activity and lead intelligence within the CRM.
Requirements
Proven experience in B2B sales or appointment setting.
Demonstrated ability to maintain high call volumes (100+ daily dials) consistently.
Exceptional verbal communication skills with a professional and persuasive phone presence.
Strong "resilience muscle" and the ability to handle objections with poise.
A dedicated, quiet home office setup with high-speed internet.
Experience using modern sales engagement platforms and CRM tools.
Background in technology or professional services sales.
History of exceeding performance quotas in a remote environment.
Benefits
💰 Competitive base salary plus commission
🌎 Fully remote work environment
🛠️ Access to top-tier sales tools and technology
Location: Shepherdsville, KY; Louisville, KY; Bardstown, KY; Elizabethtown, KY, Radcliff, KY
THE ROLE: Part-Time Warehouse Associate
Location: Shepherdsville, KY
Overview
: The
Warehouse Associate
is responsible for performing various general warehouse duties. Warehouse Associates will operate cross-functionally throughout the distribution center to ensure efficient running of the distribution center in order to meet customer needs. This position is Part-Time and Onsite.
Key Responsibilities:
Order Fulfillment
: Accurately pick, pack, and prepare customer orders for shipment, utilizing RF scanners, carts, and multi-level mezzanines.
Receiving & Put-Away
: Receive, unload, and put away incoming products, ensuring items are correctly profiled and stored in the warehouse management system.
Inventory Control
: Participate in regular cycle counts and inventory audits to ensure accuracy. Process, inspect, and credit customer returns according to established procedures.
Material Handling
: Safely operate material handling equipment such as pallet jacks and conveyors to move freight, stock, and other materials.
Safety & Organization
: Maintain a safe, clean, and organized work area by strictly adhering to all 5S principles and company safety policies.
General Duties
: Uphold all company policies and ethical standards. Perform value-added services and other duties as assigned.
Shift Structure
(subject to change based on business need)
First shift (Weekday)
Pay:
$16.00 per hour
Schedule
: Mon/Tues 6am-4:30pm
Schedule for Co-op Students
: Flexible on days available to work: 11am-4:30pm
Requirements:
H.S. Diploma or General Education Degree (GED) or equivalent work experience preferred
Relevant experience in a warehouse, distribution, or manufacturing environment preferred.
Successful completion of a post-offer criminal background check
Must provide proof of right to work in the U.S.
Must be willing and able to work overtime as required, may include weekends
Must be able to provide regular and reliable attendance
Must have a positive, team-oriented attitude and a willingness to help others
Must be able and willing to be cross-trained and rotate through various warehouse functions
Physical Demands:
Requires manual dexterity to handle, feel, and manipulate objects and use handheld devices.
Must be able to stand, walk, bend, squat, stoop, and reach for the duration of an 8 to 10-hour shift.
Must be able to lift, move and carry objects weighing up to 50 pounds without assistance.
Must be able to push and pull carts and other equipment with a force of up to 75 pounds.
Must be able to climb ladders and stairs, and work at elevated heights of up to 40 feet
Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.
Must be able to hear, speak, and read to effectively communicate with team members and supervisors.
Work Environment:
Work is performed in a warehouse facility. The work environment is characterized by moderate to loud noise levels from machinery and equipment. The facility is not climate-controlled and is subject to seasonal temperature fluctuations, potentially exceeding 90 degrees Fahrenheit in summer and falling below 40 degrees in the winter.
Perks
Recognition lunches for employee achievements
The above statements are intended to describe the general nature and level of work being performed by employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
#LI-Onsite
ABOUT US:
Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company.
Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate! World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it. Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake.
And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work? It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand.
Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications:
We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our
GDPR Applicant Privacy Notice
and
CCPA Applicant Privacy Notice
or contact us at recruitingcoordinator@ruegiltgroupe.com.
Location: Amsterdam
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT:
Design, build, and operate high-throughput distributed data systems that power quantitative research and production trading workflows.
Develop production-grade Python services and pipelines to acquire, process, validate, and distribute large volumes of market and reference data.
Build systems supporting both large-scale historical data processing and time-critical overnight pipelines on the path to trading.
Design scalable processing architectures that partition work across QRT’s on-premises compute infrastructure and AWS.
Build comprehensive observability and operational tooling to monitor data freshness, completeness, quality, and pipeline health.
Collaborate closely with quantitative researchers, trading teams, software engineers, and infrastructure teams to onboard new datasets and improve research productivity.
Take ownership of systems end-to-end, from architecture and implementation through deployment, production operation, and incident resolution.
Your present skillset:
5+ years of experience building and operating production-grade data platforms, distributed systems, or large-scale data-processing applications.
Strong Python software engineering experience, including the design of maintainable, tested, and performance-conscious production applications.
Strong understanding of distributed processing concepts such as partitioning, parallelism, concurrency, fault tolerance, idempotency, and failure recovery.
Experience designing systems that process large data volumes with demanding throughput or completion-time requirements.
Hands-on experience with workflow orchestration technologies such as Apache Airflow.
Experience with AWS services including S3, EC2, AWS Batch, IAM, CloudWatch, and cloud SDKs.
Experience operating business-critical pipelines and diagnosing data, performance, and reliability issues in production.
Excellent problem-solving skills and the ability to collaborate effectively across research, trading, engineering, and infrastructure teams.
Nice to have:
Experience building market-data platforms or other high-throughput financial data systems.
Knowledge of non-equity asset classes such as futures, fixed income, commodities, or FX.
Experience with time-sensitive overnight processing or systems operating on the path to production trading.
Familiarity with Apache Parquet, Apache Arrow, or distributed processing frameworks such as Spark, Ray, or Dask.
Experience with Docker, Kubernetes, and Infrastructure-as-Code tools such as Terraform or CloudFormation.
C++ development experience.
Experience working in high-performance computing or hybrid cloud environments.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Remote (Peru)
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in
Peru.
Who you are
You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes.
You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline.
You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales.
You have an interest in and a curiosity about data platforms and the latest advances in data technology.
What you will be doing
Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles.
Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs.
Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in.
Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products.
Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse.
Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions.
Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise.
Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals.
Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought.
Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences.
Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work.
Why you should apply
You want to work with passionate and talented people who are always looking for ways to make things better.
You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time.
You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring.
You want to work on products and accounts that have outsized impact and reach.
You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile.
You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company.
What you bring to the table
5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context.
Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus.
Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes.
Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale.
Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles.
Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code.
Understanding of data modeling, schema design, and query optimization.
Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders.
Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions.
Above-average discipline and personal organization skills.
Obvious comfort with critique and peer review in the context of an iterative development process.
A demonstrated hunger for personal and professional growth.
A self-evident love and care for the craft of data engineering.
Bonus points if you…
Have worked with real-time streaming technologies (Kafka, Kinesis, etc.).
Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus.
Have experience in healthcare or fintech domains.
Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines.
Have experience with Java, Go, or Scala.
Have strong illustration skills for technical diagramming and data architecture documentation.
Speak, write, and/or educate publicly about data engineering topics.
Have contributed to open-source data projects.
Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals.
Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.
УдалённоseniorГеография найма не уточнена
УдалённоRemote Canada
УдалённоRemote US
УдалённоseniorSpain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania
УдалённоPortugal; Albania; Georgia; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Armenia; Italy; Spain; Malta; Romania; Ireland; Croatia; Serbia; Montenegro; EU time zone overlap is preferred
Автоотклики