Location: Remote - US
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D. grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#-LI-AV1
#LI- remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $182,700-203000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Germany; United States; Worldwide
Transparent Hiring is recruiting on behalf of our partner company, a fast-growing reinsurance company operating across Germany and the United States. Corporate language:
English
. The environment is collaborative, hands-on, and driven by a strong “build and ship” mindset.
This is a hands-on engineering role. You will design and build solutions from scratch with limited resources by combining and adapting existing tools.
The role
We’re looking for a
Data Engineer (m/f/d)
to build and improve internal data solutions that make workflows and data more reliable and scalable. This is a hands-on role focused on data automation, pragmatic system design, and shipping working solutions.
What you’ll do
Own the delivery of scalable internal data solutions (end-to-end, not just concepts)
Translate business needs into clear technical designs and working systems
Build and improve data pipelines, integrations, and automation
Establish foundations for data reliability, reporting, and operational tooling
Collaborate closely with stakeholders across Germany and the US
What you bring (must-have)
5+ years
of proven experience building and delivering data solutions in production
Experience in startup environments
(fast-moving, hands-on, limited resources)
Strong skills in
Python
and
SQL
Experience creating solutions from scratch with limited resources—combining existing tools/solutions and adapting them to specific needs
Solid understanding of data architecture, system design, and integration patterns
Fluent professional English (spoken + written)
Nice to have
Experience in
insurance, reinsurance, banking, or finance
Familiarity with cloud platforms and modern data tooling
Location
& working model
Remote-first across Germany and the US (offices available).
Relocation to Germany is supported by Transparent Hiring if the candidate is based outside Germany, and wants to relocate.
If this sounds like the kind of hands-on role you enjoy, apply with your CV or LinkedIn profile — we’d love to hear from you.
Противоречивые условия: Relocation to Germany is supported by Transparent Hiring if the candidate is based outside Germany, and wants to relocate
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Задачи:
— Разработка и поддержка кода с использованием AI-агентов (Claude Code, Cursor, OpenAI Codex и др.).
— Рефакторинг AI/ML и CV-компонентов в условиях гетерогенной среды (Go / C++ / Python).
— Быстрое прототипирование гипотез и внедрение новых алгоритмов.
— Интеграция ML-моделей в микросервисную архитектуру (gRPC / Kafka).
— Оптимизация инференса и работа с high-load системами.
Требования:
— Уверенный уровень Python, опыт разработки AI/Computer Vision решений.
— Знание алгоритмов (SuperPoint, NetVLAD, Gaussian Splatting), опыт работы с PyTorch, OpenCV.
— Практический опыт работы с AI Tools: Claude Code, Cursor, Antigravity или аналогами, понимание workflow VibeCoding.
— Опыт production-развёртывания ML-сервисов (FastAPI, Docker, gRPC), понимание микросервисной архитектуры (Kafka).
— Готовность работать в окружении с Go и C++ (чтение, интеграция, базовое понимание).
— Понимание и применение SDD (Specification-Driven) и TDD подходов.
— Умение быстро прототипировать и проверять гипотезы.
— Опыт работы с технической документацией и умение создавать её.
Преимущества:
— Опыт оптимизации inference для мобильных и серверных сред.
— Опыт работы с облачной инфраструктурой GCP.
— Понимание специфики AR/VR разработки.
Условия:
— Режим оформления: ТК/ИП
— Удаленная работа
— Гражданство РФ
Location: Warsaw; Amsterdam; Barcelona
Workplace: hybrid
About us:
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.
Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.
We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.
We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform.
You will:
Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding.
Work with raw and unstructured data (images, 3D point clouds, text, video) to identify useful signals and formulate research directions.
Generate and test hypotheses through experiments, modeling, and data analysis.
Design and implement prototypes and MVP solutions, validating ideas before production implementation.
Train, evaluate, and iterate on machine learning and deep learning models.
Contribute to the development of AI-driven features, including computer vision systems and AI agents.
Collaborate with engineers to translate research prototypes into production-ready solutions.
Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerge.
Requirements
4+ years of experience in AI/ML research or applied machine learning.
Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms.
Solid understanding of machine learning and deep learning methods.
Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation.
Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.).
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes).
Ability to independently formulate research hypotheses, design experiments, and evaluate results.
Strong analytical thinking and ability to solve complex problems with limited prior solutions.
Nice to have
Experience with 3D data processing (point clouds, meshes, spatial data).
Experience building or experimenting with AI agents or LLM-based systems.
Experience training and fine-tuning neural networks.
Interest in geometry, graph theory, or computational geometry.
What we offer:
- Great work environment that balances freedom and responsibility
- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge
- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year
- Company computer equipment by request
- Education courses for our team members, and we're willing to allocate funds toward your training expenses
- English classes on our corporate platform
- Offline company events in Lithuania and online team-building
- Unlimited free Planner5D subscriptions
Location: Italy; Spain; France; Germany; Portugal; Netherlands
The Company
Our client is a modern survey programming company that helps consultants and investors get deep insights faster, so they can make great decisions. Our client is designed for authoring and launching time-critical market research surveys in record speeds so that their clients can quickly build N and have results sooner.
Our client's solution provides consultants and investors with access to quantitative survey insights on a daily basis. Their clients leverage their custom-built platform and survey engineering team to launch surveys, and gather insights, faster than their competition.
Our client's leadership team comes from the consulting and investment worlds, bringing a strong understanding of the challenges that come with conducting primary research on short timelines. This understanding informs the continued evolution of our client's solution to this day, an understanding that their team is ready and able to run through walls to help clients accomplish their goals. Our client's team is proud to be fully remote since their founding in 2016, with survey directors placed in over 40 cities worldwide.
The Role
As a Survey Director, you will play a pivotal role in driving our client's survey programming projects to success. This is a dynamic role that blends individual contribution, project management, client engagement, and account management. You will be at the forefront of ensuring that clients receive the highest quality survey programming services, from initial design to final data analysis.
The Responsibilities
Individual Contribution
: Leverage your Python programming skills to contribute directly to survey programming and data analysis tasks, ensuring accuracy and efficiency in every project.
Project Management
: Manage 3-5 simultaneous projects in a fast-paced environment, coordinating with external vendors to deliver respondents for surveys. Ensure timely and precise delivery of survey results, meeting or exceeding client expectations.
Client Engagement
:
Pre-launch: Guide clients on the optimal structure for their survey projects, helping them align survey design with their research objectives.
Launch: Work closely with clients during live survey creation, overseeing questionnaire development and key survey elements. Lead the quality assurance process to ensure all logic, conditionality, and programming elements are correctly implemented and functional.
Analytics: Analyze survey data and provide clients with actionable insights, helping them draw meaningful conclusions from their research.
Account Management
: Build and maintain strong relationships with clients, providing hands-on support for urgent changes or updates as needed. Develop and maintain client accounts, ensuring satisfaction and fostering ongoing partnerships.
Product Management
: Identify and flag patterns, optimize processes, and localize products based on client feedback and needs. Contribute to the continuous improvement of our client’s services.
Client Guidance
: Offer expert advisory on survey design and content, helping clients achieve their research goals effectively and efficiently.
Special Projects
: Engage in special projects or other tasks as required, contributing to innovation and the continuous enhancement of our client’s offerings.
Requirements
Bachelor’s degree in any field, preferably in engineering, information technology, business, economics, or international relations. Master's degree would be an advantage.
Understanding and/or experience with Python and/or JavaScript programming.
Proven client-facing experience with a customer-centric approach, strong teamwork skills, a sense of urgency, and a commitment to going above and beyond for clients.
Business acumen in private markets, including knowledge of private equity, due diligence processes, and the role of primary research in these areas.
Benefits
Innovation at Speed
: Be a part of a company that is setting new benchmarks in survey programming, working with cutting-edge technology and high-profile clients.
Global Impact
: Work with some of the most prestigious consulting firms and private equity clients across the globe.
Growth Opportunities
: Have the chance to expand your skills, manage complex projects, and contribute to the strategic growth of the company.
Collaborative Environment
: Join a team that values collaboration, innovation, and client satisfaction above all.
If you are a motivated, client-focused professional with a passion for delivering top-tier survey programming services, we encourage you to apply. Join our client and help them continue to redefine the industry standard.
Location: South Africa; Mexico; Colombia; Panama; Brazil; Argentina
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a
Automation Engineer (n8n Specialist)
to design, build, and maintain the workflow automation systems that power our client’s operations.
This is a
hands-on engineering role
focused on executing automation requirements within sprint cycles. You will work closely with the automation lead and operations team to develop
n8n workflows, system integrations, and scalable automation pipelines
that support client campaigns and internal processes.
Key Responsibilities
n8n Workflow Development
Build, test, and deploy
n8n workflows
that automate operational processes such as lead enrichment, signal detection, outreach sequencing, reply routing, and reporting.
Maintain and optimize existing workflows by improving error handling, logging, execution speed, and scalability.
Design workflows that are
modular and reusable
across multiple clients rather than one-off builds.
Troubleshoot production issues quickly, identify root causes, and implement safeguards to prevent recurring failures.
Integration & Data Flows
Build and maintain integrations between operational tools including
Airtable, Clay, Slack, CRM systems, outreach platforms, and custom APIs
.
Manage data integrity across systems through field mapping, validation logic, deduplication, and error handling.
Work with
webhooks, REST APIs, authentication systems, and JSON data transformations
.
Sprint Execution & Team Collaboration
Work within
Airtable-managed sprint cycles
to pull tasks from the backlog, estimate effort, and deliver automation projects on schedule.
Participate in
daily standups, sprint planning, and retrospectives
.
Communicate blockers early and collaborate closely with the automation lead and operations team.
Document workflows, architecture decisions, and deployment processes to ensure maintainability.
Quality & Reliability
Thoroughly test workflows before deployment, including edge cases, rate limits, empty datasets, and error scenarios.
Monitor production automations and proactively resolve issues before they impact operations.
Maintain well-organized automation environments with consistent naming conventions and credential management.
Requirements
Required Skills
Extensive
n8n automation experience in production environments
, building complex workflows that support real business operations.
Strong understanding of
workflow execution design, error handling branches, webhook triggers, and sub-workflow patterns
.
Proven experience working with
REST APIs, webhooks, JSON transformations, and authentication methods
such as OAuth and API keys.
Proficiency with
Airtable as both a data tool and project management system
(views, linked records, formulas, automations).
Experience working in
agile or sprint-based environments
with standups, planning sessions, and retrospectives.
Strong remote collaboration skills using tools such as Slack and project management platforms.
Ability to produce
clear technical documentation
for workflows, architecture, and troubleshooting.
Preferred (Bonus) Skills
Development experience with
JavaScript or Python
for custom automation logic or helper scripts.
Experience integrating automation workflows with
AI or LLM APIs
(e.g., OpenAI, Claude).
Familiarity with outbound operations tools such as
Clay, HeyReach, SmartLead, HubSpot, or similar CRM systems
.
Strong understanding of
automation architecture and system design for scalable operations
.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: District of Columbia
Workplace: OnSite
About the Company
Rain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you’re curious, bold, and excited to help shape a borderless financial future, we’d love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
This role sits within Rain’s Financial Crimes Risk Management (FCRM) function and supports the data, technology, analytical, and reporting needs of the Financial Intelligence Unit (FIU).
The position plays a critical role in strengthening transaction monitoring, investigative analytics, and risk segmentation frameworks that underpin Rain’s financial crimes program. Reporting to the Director of Compliance Data & Analytics, this individual will work closely with FIU Investigations and Compliance leadership to enhance the effectiveness, scalability, and regulatory defensibility of monitoring controls across the organization.
What you’ll do
- Assist with tuning and optimizing transaction monitoring rules across card, ACH, wire, digital, asset activity
- Analyze alert, case, and transaction data to identify false positives, coverage gaps, and opportunities to improve detection quality
- Assist with managing and optimizing financial crime vendor configurations, including thresholds, matching logic, rulesets, risk settings, and workflows
- Support testing, backtesting, regression testing, and audits to ensure monitoring and screening controls operate as intended
- Translate investigative findings, emerging typologies, and regulatory requirements into scalable monitoring logic and technical controls
- Assist with developing internal compliance tools, workflows, dashboards, and automations that improve FIU and Compliance operations
- Partner with Investigations, Compliance, Engineering, and vendors to implement, validate, document, and continuously improve financial crime controls
You are likely to succeed if you have:
- 4–7+ years of experience in financial crimes analytics, compliance technology, fraud/risk analytics, or related roles within fintech, banking, payments, or digital assets
- Advanced SQL and strong Python skills, with experience analyzing large transaction datasets, automating workflows, and building reusable compliance tooling
- Hands-on experience tuning transaction monitoring rules, including thresholds, lookback periods, segmentation, exclusions, and behavioral indicators
- Experience managing and optimizing financial crime vendor settings, including screening thresholds, matching logic, risk parameters, rulesets, and workflows
- Experience testing and auditing transaction monitoring, KYC/KYB, sanctions, or screening controls through backtesting, regression testing, QA, and control effectiveness reviews
- Ability to evaluate monitoring performance using alert volumes, false-positive rates, escalation outcomes, precision/recall, and detection coverage
- Strong understanding of AML/BSA, transaction monitoring, sanctions, KYC/KYB, and the ability to independently translate risk requirements into scalable technical controls
- Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms
Bonus attributes:
- Experience developing or deploying machine learning models for fraud, AML, transaction monitoring, anomaly detection, or customer risk
- Experience with graph analytics, network analysis, entity resolution, or behavioral modeling across transaction and customer datasets
- Experience building production-grade Python services, analytical pipelines, or detection frameworks beyond notebook-based analysis
- Familiarity with feature engineering, model evaluation, threshold optimization, precision/recall analysis, and model monitoring
- Experience working with large-scale data platforms and distributed processing frameworks such as BigQuery, Snowflake, Spark, or similar
- On-chain analytics, blockchain tracing, wallet clustering, or combining digital asset and traditional payments data for financial crime detection
- * Experience translating investigative findings or emerging typologies into scalable detection logic, models, or automated controls
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace, if you feel comfortable at home please work from home. If you’d like to work with others in an office feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will have a stipend to create a comfortable atmosphere at home.
Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.
Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 We offer every Rainmakers an equity option plan so we can all can benefit from our success.
Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to utilize the card for testing.
Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company offsites both domestically and internationally.
Location: New York, NY (HQ)
Workplace: Hybrid
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.
Join our growing Ops Engineering team and help build internal tooling and infrastructure that empowers operators at Ramp. As an internal-facing team, you'll work directly with our operations teams to design, implement, and scale tools and systems that enable them to serve our customers more efficiently and effectively. Much of our work involves managing the Retool platform, building custom tooling on top of platforms like Zendesk, developing internal API to support internal operations, and creating operator-facing applications that help our ops teams move faster and deliver better customer experiences.
Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Ops Engineering team is highly cross-functional, working closely with operations, customer support, and other internal stakeholders to solve a wide range of infrastructure and tooling challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they're familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We are intentionally pushing to use AI to automate workflows end-to-end, reducing manual toil and standardizing patterns across Retool, Zendesk, and our internal APIs.
What You'll Do
- Design and build full-stack internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences
- Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance
- Build integrations with third-party platforms like Retool, Zendesk, and other operational systems to create seamless workflows
- Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools
- Create data-driven features and analytics that provide operations teams with actionable insights and improved visibility
- Collaborate closely with operations stakeholders to understand pain points, gather requirements, and iterate on solutions that solve real business problems
- Write clean, maintainable, and well-tested code following software engineering best practices
- Participate in code reviews, mentor team members, and contribute to the growth of engineering culture
- Own features end-to-end from design through deployment, monitoring, and iteration based on user feedback
- Participate in an On Call rotation to resolve critical issues impacting internal users
What You'll Need
- 5+ years of software engineering experience building and shipping production applications
- Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, or similar
- Experience building full-stack applications with modern frameworks (React, Next.js, or similar for frontend)
- Solid understanding of backend architecture, API design, and database systems (PostgreSQL, Redis, etc.)
- Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems
- Experience building internal tools or working closely with non-technical stakeholders to understand and solve their problems
- Strong product sense and user empathy, with ability to translate business requirements into technical solutions
- Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices
- Excellent communication skills and ability to work cross-functionally with operations, product, and engineering teams
- Strong sense of ownership and bias toward action, with ability to move quickly and iterate based on feedback
- Experience with platforms like Retool, Zendesk, or similar internal tooling platforms is a plus
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: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Note: between 20 - 40% travel anticipated
In this role, you will:
- Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
- Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
- Travel up to 20–40% to work on-site with customers and partners
You may be a good fit if:
- You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
- You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
- You have experience owning the full scope of a use case end-to-end
- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
It's a bonus if you have:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
We are open to candidates currently based in the Middle East or who are open to travelling or relocating.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Dubai, United Arab Emirates
Müller’s Solutions is looking for a Google Cloud Application Modernization Specialist to drive our application modernization initiatives. In this role, you will work closely with clients to assess their existing applications and transform them into modern, cloud-native solutions using Google Cloud technologies. Your expertise will enable organizations to leverage the flexibility, scalability, and innovation that Google Cloud offers.
Key Responsibilities:
Evaluate existing application architectures and identify opportunities for modernization using GCP services.
Design and implement cloud-native architectures that enhance application performance and scalability.
Guide clients through the application migration process, ensuring best practices are followed to minimize downtime and disruptions.
Collaborate with development teams to refactor and containerize applications for deployment on Google Kubernetes Engine (GKE) or App Engine.
Facilitate workshops and training sessions to educate clients about cloud technologies and modernization strategies.
Assess and implement DevOps practices and CI/CD pipelines to streamline application delivery and operations.
Monitor and optimize modernized applications to ensure they meet performance, security, and compliance standards.
Document modernization processes, architectures, and lessons learned for knowledge sharing within the organization.
Stay current with industry trends, emerging technologies, and Google Cloud advancements related to application modernization.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience in application development, architecture, or modernization, with a strong focus on Google Cloud Platform.
Proven experience with microservices architecture, containerization, and orchestration technologies like Kubernetes.
Strong understanding of Google Cloud services related to application development, such as Cloud Run, Cloud Functions, and BigQuery.
Experience with programming languages such as Java, Python, or Go in developing cloud-native applications.
Solid knowledge of DevOps practices and tools for continuous integration and delivery.
Excellent communication skills, with the ability to guide and influence clients and technical teams.
Strong problem-solving abilities and a passion for technology and innovation.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional Application Developer) are a plus.
Experience with legacy application modernization and migration strategies.
Familiarity with Agile methodologies and practices.
Previous experience working directly with clients in consulting or customer-facing roles.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India; Dubai, United Arab Emirates
Müller’s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.
Key Responsibilities:
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.
Implement and optimize AI workflows that facilitate real-time data processing and inference.
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.
Requirements
Requirements:
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.
Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).
Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.
Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Ability to work with large datasets, utilizing BigQuery or similar data processing tools.
Excellent problem-solving skills and a strong analytical mindset.
Capable of communicating complex technical concepts to diverse audiences effectively.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.
Experience with MLOps practices and tools for model deployment and management.
Familiarity with DevOps practices as they relate to AI and machine learning.
A background in statistics or applied mathematics is desirable.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco
Müller's Solutions is seeking a GCP DevOps Specialist to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining our Google Cloud Platform (GCP) infrastructure and DevOps practices. Your expertise will drive the continuous improvement of our development and deployment processes, ensuring high availability and scalability of applications hosted on GCP. You will work closely with development, operational, and security teams to implement CI/CD pipelines, manage cloud resources, and enhance application performance.
Key Responsibilities:
Design, deploy, and manage GCP infrastructure components, including virtual machines, storage solutions, Kubernetes, and serverless functions.
Develop and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build.
Implement monitoring and logging solutions to ensure reliability and security of cloud-based applications.
Collaborate with cross-functional teams to streamline development workflows and enhance operational efficiencies.
Automate infrastructure provisioning and management through Infrastructure as Code (IaC) using tools like Terraform or Google Deployment Manager.
Perform cost optimization analyses and resource allocation planning for GCP services.
Support incident management processes and provide technical guidance to resolve deployment and operational issues.
Continuously evaluate new cloud technologies and services to enhance our GCP environment.
Requirements
Requirements:
Degree:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience:
3+ years of experience in cloud infrastructure management and DevOps practices, with a strong focus on Google Cloud Platform.
Technical Skills:
Proficient in Google Cloud services (e.g., GCE, GKE, BigQuery, Cloud Functions), CI/CD tools, and container orchestration (Kubernetes). Experience with Infrastructure as Code (IaC) using Terraform or similar tools is highly desirable.
Additional Skills:
Strong experience with scripting languages (Python, Bash) for automation tasks. Familiarity with monitoring tools (e.g., Stackdriver, Prometheus) and security best practices in cloud environments. Understanding of Agile methodologies and DevOps culture.
Communication Skills:
Excellent communication skills with the ability to work effectively in a collaborative environment.
Preferred Qualifications:
Certifications such as Google Cloud Professional DevOps Engineer or Google Cloud Architect are a plus.
Experience with multi-cloud or hybrid cloud environments.
Ability to troubleshoot complex systems and provide solutions quickly.
Strong analytical and problem-solving skills, with a focus on continuous improvement.
A passion for cloud technologies and keeping up-to-date with industry trends.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India
Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
Key Responsibilities:
Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.
Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.
Ensure high data quality and integrity by implementing robust data validation and testing processes.
Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.
Monitor and troubleshoot data processing workflows to ensure timely data delivery.
Document data architectures, processes, and workflows for knowledge sharing and compliance.
Stay ahead of industry trends and best practices in big data technologies and methodologies.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience as a Big Data Engineer or in a similar data engineering role.
Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.
Strong coding skills in programming languages like Java, Scala, or Python.
Familiarity with data processing frameworks and ETL tools.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).
Analytical mindset and excellent problem-solving abilities.
Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.
Preferred Qualifications:
Experience with machine learning frameworks and algorithms is a plus.
Knowledge of data governance and security best practices.
Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India
Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Casablanca, Morocco; Cairo, Egypt; Delhi, India
Müller’s Solutions is looking for a skilled Google Cloud Security Engineer to enhance our cloud security framework and protect our critical systems and data on Google Cloud Platform (GCP). In this role, you will be responsible for identifying security vulnerabilities, implementing robust security measures, and ensuring compliance with industry standards while safeguarding our cloud architecture and applications.
Key Responsibilities:
Design, implement, and manage security controls and procedures for GCP services and resources.
Perform risk assessments and security reviews to identify vulnerabilities and prioritize remediation measures.
Monitor and analyze security alerts, events, and incidents across the cloud environment.
Develop and enforce security policies, standards, and best practices for cloud operations.
Implement Identity and Access Management (IAM) policies to control access to GCP resources effectively.
Conduct regular security assessments and collaborate with development teams to ensure secure coding practices.
Stay up to date with the latest security threats, vulnerabilities, and trends in cloud security.
Provide security training and awareness for engineering teams to promote a security-first culture.
Collaborate with incident response teams to investigate and respond to security incidents effectively.
Maintain documentation of security policies, architecture, and processes related to GCP.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
3+ years of experience in cloud security, specifically within Google Cloud Platform.
Strong knowledge of cloud security best practices, frameworks, and compliance (e.g., ISO 27001, NIST, GDPR).
Experience with GCP security tools and services, including Security Command Center, Cloud Armor, and Cloud Identity.
Expertise in Identity and Access Management (IAM), data encryption, and security configurations in GCP.
Familiarity with network security principles and solutions, such as firewalls and VPNs.
Excellent analytical and problem-solving skills, with the ability to handle complex security scenarios.
Strong communication skills to effectively convey technical information to diverse audiences.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Security Engineer) are desirable.
Experience in scripting or programming languages, such as Python or Bash, for security automation.
Knowledge of DevSecOps practices and tools.
Experience with tools like SIEM, vulnerability scanners, and penetration testing frameworks.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; Casablanca, Morocco; New Delhi, India
Müller’s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities.
Key Responsibilities:
Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services.
Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager.
Oversee the configuration and management of virtual private cloud (VPC) networking and shared services.
Build and maintain CI/CD pipelines to automate deployment and operational processes.
Monitor and optimize GCP performance, including resource utilization and cost management.
Implement robust security practices across GCP resources, ensuring compliance with industry standards.
Integrate GCP services with existing systems and applications through APIs and cloud functions.
Collaborate with DevOps teams to streamline workflows and support development processes.
Prepare and maintain architecture documentation, operational procedures, and best practices guidelines.
Provide technical support to resolve issues and enhance system performance in the GCP environment.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform.
Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine.
Proficiency in scripting and programming languages such as Python, Golang, or Java.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with networking concepts and security practices in cloud environments.
Strong analytical and troubleshooting skills with attention to detail.
Effective communication skills for collaboration and presenting technical information clearly.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred.
Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services.
Knowledge of monitoring and logging tools such as Stackdriver or Prometheus.
Understanding of DevOps methodologies and practices.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Riyadh, Saudi Arabia
Müller’s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.
Key Responsibilities:
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.
Ensure data quality by developing and implementing validation routines and data profiling techniques.
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.
Stay informed of emerging trends and best practices in data engineering and GCP technologies.
Participate in team efforts to define and enhance data governance and management practices.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
3+ years of experience in data engineering, with a focus on Google Cloud Platform.
Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.
Strong SQL skills and experience in data modeling and data warehousing concepts.
Familiarity with programming languages such as Python or Java for data processing tasks.
Ability to work with various data sources, including structured and unstructured data.
Strong analytical and problem-solving skills with attention to detail.
Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.
Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.
Understanding of CI/CD practices in data engineering workflows.
Knowledge of data visualization tools and techniques to present data insights effectively.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Riyadh, Saudi Arabia
Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia
Eram Talent is seeking a dedicated
Data Quality Business Analyst
to join our growing team. In this role, you will be responsible for ensuring the integrity, accuracy, and reliability of data across our business systems. You will collaborate with cross-functional teams and stakeholders to define data quality standards, develop metrics, and implement processes that enhance data management practices.
Your responsibilities will include performing data analysis, identifying data quality issues, and recommending solutions to improve data governance. You will also work on data quality initiatives and may be involved in data profiling, cleansing, and monitoring to ensure adherence to organizational data quality standards.
Responsibilities
Consolidate guidelines, processes and parameters for conducting business analysis in order to follow a consistent approach in the process followed for collating data and carrying out analytics.
Support in coordinating with Technology departments through periodic meetings to understand the specific business requirements related to business analytics.
Coordinate with different internal departments to identify the most suitable data resources to ensure effective data collection and analysis based on the requirements.
Support in identifying potential external vendors/market research agencies etc. and coordinate with them to establish the data collection and reporting needs in order to ensure efficiency in the data collection process.
Coordinate with external consultants/forums to keep updated with the latest developments in the Technology landscape.
Perform data cleaning and standardisation for conducting the relevant analysis and ensures adherence to data quality standards while developing reports on procurement and logistics updates.
Stay up to date on the latest business intelligence tools, databases, systems or methods etc. and shares insights with Master Data Quality Manager on leveraging the same for business requirements.
Develop the requisite reports (weekly/monthly/ad-hoc) and ensures timely submission of the same to facilitate decision making.
Requirements
Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required.
5+ years of experience as a Data Quality Analyst or in a related field.
Certified Data Privacy Solutions Engineer (CDPSE) preferred.
Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred.
Strong understanding of data management principles, data governance, and data quality best practices.
Proficient in data profiling and analysis tools (e.g., SQL, Python, or ETL tools) to assess data quality.
Experience with data visualization tools such as Tableau, Power BI, or similar is a plus.
Strong analytical and problem-solving skills to identify data quality issues and develop actionable solutions.
Excellent communication skills, with the ability to work collaboratively with diverse teams and stakeholders.
Detail-oriented with a focus on delivering high-quality results.
Familiarity with data privacy and regulatory compliance standards is a plus.
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ГибридWarsaw; Amsterdam; Barcelona; From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market
