Location: Southbury, Connecticut
🚨💜
POV: YOU’RE GETTING PAID $22–$30/HR TO PLAY, MAKE A DIFFERENCE, AND USE YOUR ACTUAL HUMAN HEART.
💜🚨
📍
SOUTHBURY, CT — WE’RE HIRING!
🤖 If you’re looking for a job where you stare at a screen all day, ask ChatGPT to do your thinking, and have the emotional range of a toaster… this ain’t it. 😂
🧸
WE NEED REAL HUMANS WITH REAL HEARTS.
The kind who can be silly, stay patient, celebrate the tiniest victories, and understand that sometimes a little progress is a BIG deal.
💜
SO… WHAT DOES A BEHAVIOR TECH ACTUALLY DO?
🎲
PLAY LIKE YOU MEAN IT.
Games, toys, puzzles, and activities that make learning fun. Yes, playing can literally be part of your job. Your inner child just clocked in. 😂
🧠
TURN LITTLE MOMENTS INTO BIG SKILLS.
Help children communicate, build independence, take turns, and navigate everyday life. No magic wand required. Just patience, consistency, and a willingness to learn.
🥳
CELEBRATE THE TINY WINS LIKE YOU JUST WON THE SUPER BOWL.
A new skill? A brave attempt? A little breakthrough? WE’RE THROWING A PARADE. 🎉
📋
FOLLOW THE PLAN, NOT YOUR VIBES.
You’ll work with BCBA guidance, follow individualized treatment plans, and collect data. Heart matters, but so do professionalism and evidence-based care!
💜
AND THE BEST PART?
You might leave work knowing you helped make someone's world a little easier. No algorithm can replace genuine human connection.
━━━━━━━━━━━━━━━━━━
🚨
OUR HUMAN-WANTED AD (YES, ACTUAL HUMANS):
✨ Patient, compassionate, and dependable
✨ Playful enough to get involved, mature enough to stay professional
✨ Willing to learn and grow
✨ Has HEART, empathy, and the ability to see the child—not just the behavior
✨ Ready to make a difference, one small victory at a time
ABA experience or RBT certification is a plus! Training and guidance may be available for the right candidate.
💰
PAY: $22–$30/HR
📍
LOCATION: Southbury, CT
💜
NO ROBOTS. NO SUPERHERO CAPES REQUIRED. JUST A REAL PERSON WHO CARES.
📩 Message us today! Come turn playtime into progress and make your paycheck mean something. 🧸🚀
Location: New York, remote
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
We’re seeking an experienced
Algo Trading / Head of Execution
to join our team. You have a proven track record of building and benchmarking execution algorithms. Ideally, you’ve been actively engaged with the crypto markets or have a strong curiosity about them. In this role, you will take the lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure.
You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you.
What You’ll Do:
Design and lead the development of a low-latency, high-throughput Algo Trading / Smart Order Router system
Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost
Collaborate with traders, and product managers to refine routing logic and build new algorithmic capabilities
Integrate the SOR with the trading, booking and reporting stack
Monitor and optimize system performance under real-world trading conditions
Mentor junior developers, enforce code quality standards, and contribute to architectural decisions
Provide support for production trading issues and continuously improve system resilience and failover mechanisms
What We’re Looking For:
10+ years of experience developing routing strategies for specific markets (e.g., U.S. equities, EU markets, crypto exchanges)
Knowledge of tick data analytics and real-time market data processing
Familiarity with cloud-based market access or hybrid deployments
Experience working in high-frequency or algorithmic trading environments
Experience building low-latency systems and working with multicast/unicast market data feeds
A solid understanding of the application stack and infrastructure associated with electronic and algorithmic trading
Strong technical background, with the ability to understand system architecture and technical workflows
Proficiency in FIX protocol and trading system architecture (OMS/EMS, market gateways)
Familiarity with concurrency, networking, and memory management
Experience with Linux systems and performance profiling tools
A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment
Bonus Points:
Deep understanding of electronic trading, order types, and market microstructure (equities, options, FX, Crypto etc.)
Experience in the
DeFi, or crypto
space
Exposure to regulatory or compliance-driven environments
Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes
What We Offer:
Competitive base salary and discretionary bonus
Company-paid health and protective benefits for employees and their eligible dependents
Free virtual coaching and counseling sessions
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Employee Resource Groups
*Benefits may vary depending on location.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
Base Salary Range
$220,000
—
$250,000 USD
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: London
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
ABOUT THE ROLE
We are looking for a Research Engineer to help develop our Geospatial Visual Localization technologies, which allows people and robots to accurately localize themselves anywhere on the planet.
This is an end-to-end applied research role. You will develop new approaches to open problems alongside our researchers in 3D vision and machine learning, and publish your work at leading conferences. You will help build and train large models on large-scale multi-modal datasets, including our proprietary collection of 30 billion posed images and ship them into production, to be used by people and robots from all over the world.
Our team works with heterogeneous captures from phones and other handheld devices, 360 cameras, vehicles, and drones, as well as aerial and satellite imagery, LiDAR, and external geographic data. Your focus will be to improve accuracy and robustness across urban and rural locations, cameras, seasons, weather, and capture quality. The system must remain reliable with noisy GPS, in GPS-denied environments, and with outdated reference maps. Each pose estimate comes with an uncertainty that our customers rely on, and keeping it well calibrated across these conditions is part of the work.
WHAT YOU'LL DO
- Design, implement, and evaluate novel visual localization algorithms, combining 3D vision and deep learning.
- Train large models on multi-modal data at scale, and build the benchmarks that measure their accuracy and robustness.
- Develop robust solutions for difficult real-world conditions: noisy or denied GPS, changing appearance, varying capture quality, large geographic extents, and imperfect reference maps.
- Work side-by-side with leading researchers in visual localization, 3D computer vision, and mapping, as well as engineering and product teams, to identify the highest-impact problems and turn research into end-to-end solutions that operate at production scale.
- Communicate results clearly through technical writing, design reviews, internal presentations, and publications.
WHAT YOU'LL BRING
- Strong grounding in 3D computer vision, deep learning, robotics, photogrammetry, or a closely related field.
- Demonstrated experience with multi-view geometry and related problems, such as camera pose estimation, monocular depth estimation, SfM, SLAM, georeferencing, point-cloud registration, or sensor fusion.
- Knowledge of transformer models for 3D vision, such as vision foundation models, feed-forward 3D reconstruction, or multi-view and multi-modal attention.
- Knowledge of geospatial data and coordinate reference systems.
- Ability to formulate ambiguous real-world problems, choose appropriate mathematical or learning-based tools, and evaluate solutions rigorously.
- Strong Python skills and experience training deep learning models at scale, with libraries such as PyTorch, NumPy, and SciPy.
- Strong software engineering skills, with the ability to turn research prototypes into reliable, scalable, and maintainable systems.
- Experience taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data.
- Clear written and verbal communication and the ability to collaborate across research and engineering disciplines.
NICE TO HAVE
- A PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field, or equivalent research or industry experience. A PhD is not required.
- A strong publication record or substantial active involvement in the research community, especially at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia, 3DV, ICRA, RSS, or related conferences and journals.
- Experience with aerial or satellite imagery, GNSS/GPS, IMUs, LiDAR data, geodesy, mapping systems, or large-scale spatial data.
- Evidence of technical leadership, mentorship, or successful cross-functional delivery.
COMPENSATION & BENEFITS
Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
LOCATION & WORK MODEL
This role is based in our London office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: NYC, SF, Remote
Workplace: remote
About Brilliant
Brilliant is creating a world of better problem solvers. We deliver learning that's interactive, adaptive, and fun – at scale. You can learn more about our approach, learners, and method on our about page.
We have always prioritized building a real, healthy business, and we make hires very selectively and intentionally. We serve hundreds of thousands of paid subscribers, and want you to help us serve millions.
In our day-to-day, we value adventure, excellence, generosity, and candor. We are optimists in the face of uncertainty, we take pride in our work, we go the extra mile for each other, and we tell it like it is (the good and the bad). We’re here to do the best work of our lives together.
We believe that real-time collaboration and human connection are necessary ingredients in building a high-velocity, high-trust team. We maintain core hours (9:30am - 2:30pm Pacific) when everyone is online, regardless of timezone. About half of us are located near our hubs in SF and NYC.
In addition to what’s below, you can see all open roles and learn more about our culture on our careers page.
The Role
CS Learning Designers at Brilliant design interactive learning games to teach programming and algorithmic thinking. We’re hiring exceptional learning designers who can teach computer science concepts creatively using Python, as well as brainstorm new interactive experiences that bring the principles of algorithm design to life.
You will work in a small, nimble team to redefine the future of education. We especially encourage applicants with a strong background in computer science education to apply.
You will use your pedagogical instincts and taste to expand Brilliant’s library of CS learning games and achieve the best possible outcomes for our learners and our business. You will be joining a passionate and experienced team of entrepreneurial-minded people who are working to make a meaningful impact on the world.
To be considered for this role, please include your best example(s) of how you've taught computer science concepts interactively online.
Responsibilities
Develop hands-on programming courses to teach CS concepts using Brilliant’s Python learning game.
Design new learning games — visual, puzzle-driven experiences that teach foundational principles in algorithms, data structures, and computational thinking.
Decompose complex computer science ideas (e.g., recursion, backtracking, dynamic programming) into approachable, well-sequenced steps that empower learners to reason from first principles.
Design content that is clear, creative, and intuitive — using interactivity to help learners build confidence and mastery.
Build immersive, interactive learning experiences that guide learners along problem-solving journeys.
Collaborate with product, design, and engineering teams to imagine and create new interactive features, visuals, and mechanics that elevate the learning experience on both computers and phones.
You
Have an undergraduate degree or above in a STEM field, and you’ve developed a strong grounding through research or teaching that extends beyond traditional curricula.
You have used AI agents extensively for coding, and have an opinionated stance on what core concepts are important to teach in the world of agentic coding.
Have a knack for teaching complex topics using a progression of clear, simple, hands-on steps.
You have experience with building or using interactivity to motivate, engage, and challenge learners, including in asynchronous contexts.
Have a way with words, especially when communicating challenging concepts, and your writing skills (in English) are top notch.
Are great at context switching and prioritizing among a large workload.
Have an openness to change and a willingness to experiment with formats and platforms.
Are not afraid to jump into any aspect of a project to fill a vacuum, no matter how big or small.
Compensation and Benefits
We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location!
Given the systematic approach, we always make First and Best offers - there is no negotiation (for new hires nor our existing teammates). This ensures people are paid based on their expected contribution, not their negotiation skills.
We offer top-notch health care plans, with 100% of the premiums covered for medical, dental, and vision for employees.
We offer flexible PTO, with a norm of taking off about 6 weeks per year (including federal holidays). We also provide home office equipment, a professional development stipend, and free food at our offices.
Our CCPA Privacy Notice can be found here.
Plus stock options.
Location: Los Angeles, USA
As a
Senior Manager, ML Engineering
, you will lead the Machine Learning Engineering team responsible for building and operating machine learning systems that power League of Legends. This team delivers both player-facing ML experiences and developer-facing ML tools, enabling in-game and around-game capabilities such as recommendations, player behavior modeling, matchmaking, and experimentation-driven personalization.
In this role, you will be accountable for the technical vision, execution, and business impact of ML applications in League of Legends. You will shape the end-to-end ML engineering strategy, from data and feature pipelines to model development, deployment, evaluation, and operations, ensuring systems are scalable, reliable, and measurable in production. You will partner with development themes’ product and production leaders to enable the development of League of Legends existing and future player experiences.
You will report to the Data Engineering Director of League Insights.
This role is based out of our Los Angeles Headquarters.
Responsibilities:
Manage a team of highly skilled engineers, driving performance, developing future leaders, identifying growth opportunities, and ensuring strong delivery and outcomes.
Define, own, and socialize an engineering vision for the organization, working with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals.
Contribute to all parts of team leadership, including budgeting, recruiting, hiring, mentoring, performance management, and managing contingent staff.
Set direction for MLOps & modeling efforts across the ML product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence.
Collaborate closely with cross-functional partners across LoL PC, including product management and technical production, to deliver scalable, reliable, and high-impact ML-powered solutions.
Foster effective communication and collaboration within engineering teams, central MLE groups, and across other LoL PC departments.
Build stronger cross-Riot MLE craft support and contribute towards ongoing improvements to craft standards.
Stay current with industry trends and emerging technologies in applied ML and MLOps, guiding pragmatic adoption of best practices that improve product quality and player impact.
Continue to hone your individual skills so you can deliver projects in a Player-Coach dynamic.
Required Qualifications:
Bachelor’s degree in Computer Science or a related field, or equivalent experience.
10+ years of experience building and operating large-scale software systems, with significant experience in production ML systems.
Strong expertise in computer science fundamentals, including system design, data structures, and algorithms.
Experience with Java, C++, Python, or similar languages in large-scale, production environments.
Deep knowledge of MLOps & modeling best practices, including model lifecycle management, experimentation, monitoring, and deployment at scale.
Experience collaborating across multiple teams, departments, and disciplines to create solutions.
Experience with project planning, prioritization frameworks, and guiding investment strategies across people, platforms, and systems.
Desired Qualifications:
Master’s degree in Computer Science or a related field, or equivalent experience.
Familiarity with Responsible AI frameworks, fairness considerations, and long-term player impact measurement.
Experience with large-scale experimentation platforms and online evaluation frameworks.
Experience leading full-stack teams.
Experience leading distributed or remote teams.
For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for an experienced Senior Software Engineer (Backend) to join our Core Experience global group and help build and evolve Fivetran’s Developer Experience platform.
You will work on core developer-facing capabilities, including Public APIs, Terraform Provider, and Model Context Protocol (MCP) integrations, enabling customers and partners to automate, manage, and integrate with Fivetran at scale.
In this role, you will design and deliver reliable backend services, improve API usability and consistency, and contribute to the evolution of our software architecture. You’ll collaborate with engineers, product managers, and other teams to build scalable solutions that simplify how developers interact with Fivetran.
We value engineers who take ownership of their work, actively leverage modern AI-assisted development tools, and continuously look for ways to improve engineering productivity and software quality.
This is a full-time position based out of our Serbia office in Novi Sad. Our hybrid work model offers a blend of remote flexibility and in-person collaboration
Technologies You’ll Use
Backend: Java, PostgreSQL
APIs & Integrations: REST APIs, OpenAPI, gRPC, MCP, OAuth
Infrastructure: Kubernetes, Docker, AWS, GCP
Development & CI/CD: Bazel, Buildkite, Git
AI-Assisted Development: Claude Code, GitHub Copilot, Cursor, or similar tools
What You’ll Do
Design, develop, and maintain backend services and APIs that power Fivetran’s Developer Experience.
Build and enhance Public APIs, Terraform Provider, and MCP integrations, enabling customers to manage and automate their Fivetran infrastructure.
Design reliable, scalable, and maintainable backend solutions, with a focus on API consistency, backward compatibility, security, and performance.
Take ownership of features from technical design through implementation, testing, deployment, and production support.
Collaborate with product managers, engineers, and cross-functional teams to translate product requirements into technical solutions.
Contribute to architecture discussions, technical design reviews, and code reviews to maintain high engineering standards.
Troubleshoot production issues, improve system reliability, and continuously enhance existing functionality.
Actively use AI-assisted development tools for coding, debugging, testing, code reviews, and technical exploration to improve development efficiency and quality.
Identify opportunities to improve developer workflows, engineering processes, and internal tooling.
Skills We’re Looking For
5+ years of professional software engineering experience, with strong backend development skills, preferably in Java or Go.
Strong understanding of software engineering principles, data structures, algorithms, and software design patterns.
Experience designing, developing, and maintaining production-grade REST APIs and backend services.
Experience building reliable distributed systems operating at scale and under strict availability and performance requirements.
Ability to design maintainable software solutions, make sound technical decisions, and balance short-term delivery with long-term architecture.
Strong troubleshooting and problem-solving skills, including diagnosing complex issues in production environments.
Experience writing clean, well-structured, testable code and following modern software engineering best practices.
Hands-on experience using AI-assisted coding and development tools as part of regular engineering workflows, with an understanding of their capabilities, limitations, and best practices.
Ability to independently own and deliver complex engineering tasks while collaborating effectively with other engineers and stakeholders.
Strong communication skills and willingness to participate in technical discussions, design reviews, and knowledge sharing.
Bonus Skills
Experience with Go
Experience developing or maintaining Terraform Providers, Infrastructure as Code (IaC), or developer automation tools.
Familiarity with Model Context Protocol (MCP), AI agents, or LLM-based integrations.
Experience designing public APIs using OpenAPI specifications, including API versioning, authentication, and backward compatibility.
Understanding of OAuth 2.0, identity management, and API security best practices.
Experience with cloud platforms (AWS, GCP), Kubernetes, and cloud-native architectures.
Experience building developer platforms, SDKs, CLIs, or other developer-facing tools.
Experience with observability, monitoring, and performance optimization of distributed services.
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Mapbox UK
Workplace: Remote
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
WHAT WE DO
The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping.
Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment.
- Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation
- Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety
- Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT YOU’LL DO
As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include:
- Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers).
- Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines.
- Build tools for automated quality assurance and data exploration.
- Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms.
- Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic.
- Mentor colleagues and participate in code and design reviews.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field.
- Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage.
- Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments.
- Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team.
- Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine.
- Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf.
- Growth mindset: Have the humility to accept mistakes, learn and grow from them.
- Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth.
- Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product).
- Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
Location: All Cities
Workplace: Remote
ABOUT US
Mobile Wave Solutions is a professional services company specialising in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet the evolving needs of our clients. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation.
We are looking for a Senior Android Engineer for an exciting opportunity with a client in the fintech industry, working on innovative solutions to enhance customer experiences and streamline financial services. This role offers the chance to contribute to cutting-edge technology projects in a fast-paced, impactful environment.
As a Senior Android Engineer, you will develop innovative Android applications and play a key role in mobile architecture and design, delivering outstanding user experiences. We expect engineers to demonstrate curiosity, passion, and a proactive mindset, with strong skills in algorithms, problem-solving, and building scalable, resilient, and crash-free Android applications. Effective communication is an attribute we care deeply about, as you and your team will collaborate in a fast-paced engineering environment to achieve outstanding results.
DUTIES AND RESPONSIBILITIES
- Architect, design, build, and deliver world-class Android applications.
- Collaborate with engineers, product owners, and other colleagues to identify meaningful challenges and deliver business value.
- Write clean, maintainable, and scalable code following Android development best practices.
- Learn, grow, and mentor other engineers through code reviews and pair programming to accelerate their technical mastery.
- Challenge existing team processes and identify opportunities for continuous improvement.
- Contribute to and promote engineering standards and best practices, making a positive impact across the team.
- Ensure application performance, stability, security, and reliability across supported Android devices and operating system versions.
QUALIFICATIONS, SKILLS, AND EXPERIENCE
- 5+ years of experience in software development.
- 4+ years of professional experience in Android development.
- Experience architecting, designing, building, and delivering high-quality Android applications.
- Strong knowledge of the Android SDK and the Android application development ecosystem.
- Strong proficiency in Kotlin and experience writing idiomatic, readable, and maintainable code.
- Solid understanding of Android architecture patterns, design principles, and SOLID principles.
- Experience customizing Android UI components, navigation, transitions, lists, and complex layouts.
- Proven track record of designing and implementing high-quality, reliable, and crash-free Android applications.
- Practical experience integrating RESTful APIs and working with asynchronous operations.
- Experience with dependency injection, modularization, and building maintainable application architectures.
- Strong problem-solving skills and a good understanding of algorithms and data structures.
- Experience working with agile methodologies and collaborative software development practices.
- Excellent communication skills in English, both written and verbal.
ADVANTAGES
- Experience designing and building highly reliable Android applications that serve millions of users.
- Good understanding of Jetpack Compose and modern Android UI development.
- Experience with Kotlin Coroutines, Flow, and reactive programming.
- Experience with Android testing strategies, including unit, integration, and UI testing.
- Experience with Gradle, build optimization, and CI/CD pipelines for Android applications.
- Experience with Google Play Console and the application release process.
- Experience with GraphQL.
- Experience in the FinTech industry.
- Experience in consumer lending or credit card issuing.
OUR BENEFITS
- Remote Office – Option to work remotely or hybrid
- Parking Space – Free parking available
- Fun Office Space – Game zone and relaxation area
- Health Insurance – Private health insurance, including dental care
- Holidays – 5 extra days after your 1st and 5th year with us
- Personal Development – Company-sponsored training and development
- Employee Referral Program – Competitive bonus for successful referrals
- Social Events – Celebrating success together
- Family Insurance – Add insurance coverage for a family member
- Multisport Card – Fully covered sports pass
Location: Brussels; London; London OR Brussels
DeFi Quant Trader Intern (Credit)
Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.
We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.
We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement.
We're not just envisioning the future of finance - we're building it.
ABOUT THE INTERNSHIP PROGRAM
Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance.
Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed.
We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (HFT), Credit and Corporate Development desks/teams (see other openings on our career page for details).
Application deadline: 30 November 2026
Start date: 1 March 2027
Selection process:
- Interview with Talent Acquisition representative
- Interview with Hiring Manager
- Recruitment Challenge
The role
About Credit Desk
IN OUR CREDIT & ON-CHAIN LIQUIDITY TEAM, WE DESIGN, DEPLOY, AND MANAGE CAPITAL ACROSS DECENTRALIZED LENDING PROTOCOLS, YIELD STRATEGIES, AND CREDIT FACILITIES. OPERATING AT THE INTERSECTION OF QUANTITATIVE FINANCE AND SMART CONTRACT RISK, THE CREDIT DESK IS RESPONSIBLE FOR OPTIMIZING YIELD, EVALUATING COUNTERPARTY AND PROTOCOL RISK, AND DEPLOYING PROGRAMMATIC CREDIT SOLUTIONS ACROSS DIGITAL ASSET MARKETS. AS A CREDIT DESK DEFI QUANT TRADER INTERN, YOU WILL WORK DIRECTLY WITH QUANT TRADERS AND CREDIT STRATEGISTS TO BUILD QUANTITATIVE RISK MODELS, AUTOMATE YIELD HARVESTING, ANALYZE ON-CHAIN LIQUIDITY POOLS, AND EVALUATE DEFI PROTOCOL MECHANICS.
KEY RESPONSIBILITIES OF A DEFI QUANT TRADER INTERN IN THIS UNIT
- On-Chain Risk & Credit Modeling: Develop and refine quantitative risk models to assess protocol health, collateralization ratios, liquidation risks, and smart contract vulnerability exposure across DeFi credit platforms.
- Yield Optimization & Execution: Build Python-based tools and algorithmic models to analyze real-time yield curves, liquidity pool depth, and funding rate arbitrage across lending and borrowing protocols.
- Data Analytics & Telemetry: Query on-chain telemetry, EVM event logs, and DEX/lending protocol data using SQL, Subgraphs, and Python to generate actionable insights for credit positioning and risk allocation.
- Protocol Due Diligence & Forensics: Perform quantitative forensics and stress testing on emerging lending primitives, liquid staking protocols, and structured credit products prior to capital deployment.
WHO YOU ARE/KEY REQUIREMENTS
- Technical & Quantitative Skills: Strong code-first foundation in Python and SQL (with Git proficiency) for handling on-chain or EVM event data. Understanding of smart contract mechanics and DeFi primitive math (e.g., automated market makers, lending pool utilization curves, liquidation thresholds).
- Quantitative & Trading Mindset: Rigorous background in a quantitative field (Math, Physics, CS, Finance, or Engineering) with a systematic/trading mindset. Ability to model yield dynamics, credit risk, backtesting strategies, and protocol insolvency scenarios.
- DeFi "Skin in the Game": Hands-on experience interacting with decentralized lending protocols (e.g., Aave, Morpho, Compound, Maker/Endgame), yield aggregators, or credit markets.
- Nice-to-Haves: Familiarity with Rust, Solidity, Foundry, or specialized credit risk models and backtesting frameworks.
Our offer
- A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it
- The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem
- Working from one of Brussels newest, nicest and most advanced office spaces
- A global, collaborative and tech-driven environment.
- Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business.
- Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration.
- Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world
- We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.
Our recruitment philosophy
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
https://keyrock.com/careers/
We are looking for a Senior Machine Learning Engineer to develop, deploy, and maintain machine learning and AI solutions for advanced financial data processing and reconciliation platforms. You will work with large and complex financial transaction datasets to build solutions for transaction matching, reconciliation, and exception handling.
Location: Auckland
Workplace: OnSite
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
What you'll be doing
Own the guidance firmware, the virtual fencing logic on our collars that decides when and how to guide each animal. Your code and decisions will be responsible for millions of cattle, on thousands of farms, on several continents, 24 hours a day, 7 days a week. That covers everything from initial design through implementation and testing to mass deployment and ongoing production support across a large, live fleet.
Design guidance algorithms, state machines and the geometry behind virtual fences and paths, always putting every animal's wellbeing first. Design the protocols that get guidance data onto the collar and animal data back off it over a low-bandwidth radio link.
You'll build it all in modern C++ (C++23) on FreeRTOS, with real constraints around power, memory and reliability.
Debug hard, intermittent, field-only problems using logs, telemetry and a genuine understanding of the system and animals, not just guesswork.
Work closely with firmware, backend and frontend engineers, designers and animal experts, and spend time observing the animals themselves, so the whole guidance system, not just your code, actually holds up.
Contribute to the quality and reliability of the guidance system as a whole: better patterns, better tooling, better ways of catching problems before they reach a paddock.
Support and mentor other engineers through design conversations, code reviews and generous context sharing.
What you'll bring
You don't need a firmware-only background. Game and game engine developers work on many of the same challenges we do: steering agents through a world, collision with irregular shapes, state machines that must never get stuck, and squeezing everything into a fixed frame budget. If that's you, we'd love to hear from you.
Solid experience shipping software for resource-constrained systems, such as embedded devices, consoles or real-time engines, and the scars to show for it.
- Strong C++ fundamentals and software design patterns.
- Comfort with tight constraints: concurrency, limited memory and stack, and real-time behaviour."
- Good judgement under uncertainty: inaccurate sensor data, unexpected animal behaviour and unclear requirements.
- You enjoy reasoning about geometry, probability and timing, like working out the best path to guide a cow, or how sure we are of where an animal is.
- A strong sense of ownership. You want to understand why something works, not just that it works, and you follow problems all the way to root cause.
- Give and receive feedback well, as a strong team player.
Bonus points for
- Experience with state machines or pathfinding.
- Experience with real-time operating system internals (FreeRTOS or similar), interrupts and reasoning about scheduling, priorities and timing guarantees.
- Experience with safety-critical systems, or with unreliable, low-bandwidth communication links.
- Experience working with animals, or genuine curiosity about farming, animal welfare, or hardware that has to survive outdoors, unattended, on a live animal. We can teach the domain, but the curiosity has to be there already.
Our Benefits
- Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
- Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being.
- Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
- We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
- Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.
Our Office First Approach
There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams.
Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical.
We’re office first, not office only. This means working from the office every day is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter.
Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by every day makes work so enjoyable. Your growth, your learning and your impact are truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: Brussels, Belgium
We currently have a vacancy for a
Data Scientist
fluent in English, to offer his/her services as an expert
remotely (within EU)
. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team.
Tasks:
Social media data scraping and analysis to study platform features impact on users;
Evaluating the effectiveness of different recommender systems and algorithms on social media platforms;
Designing and implementing experiments with sock puppets methodologies (account-based data collection) to test the impact of recommender systems on users;
Designing and implementing data visualisations to communicate social media insights to stakeholders;
Provide comprehensive project support throughout its lifecycle, including the development of work plans and timelines, meetings and stakeholder interactions, tracking of infrastructure requirements and resource allocation, monitoring of tasks progress against milestones and deliverables, and ensuring effective communication between technical teams and project leadership.
Requirements
University degree in IT or relevant discipline, combined with minimum 7 years of relevant working experience;
Minimum 3 years of professional experience in data science, data analysis, data visualisation and quantitative research, including designing and implementing data pipelines, data cleaning and data processing;
Minimum 3 years of experience in statistical analysis, machine and deep learning model development, and model evaluation;
Minimum 2 years of experience in account-based data collection, scraping, and working with large-scale datasets from digital or social media sources;
Knowledge of programming languages (e.g., Python, R, SQL; Perl optional) commonly used in data science for modelling and automation;
Knowledge of machine learning, deep learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face);
Knowledge of web scraping tools and libraries, large scale data collection from social media platforms, including account-based methodologies (e.g., sock puppets);
Knowledge of data engineering and data visualization tools;
Knowledge of agile development methodologies and version control systems such as Git;
Knowledge of project management software such as JIRA and Microsoft Project;
Knowledge of collaboration and documentation platforms such as Confluence and SharePoint;
Certifications in Computer Science, Engineering, Statistics, Mathematics, or related field;
Excellent command of the English language.
Benefits
If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference:
(21652/11/2026).
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
You may also consider all our other open vacancies by visiting the career section of our web site (
www.eurodyn.com)
and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (
www.eurodyn.com
)
is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in
www.eurodyn.com/privacy.
By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Location: Redwood City, CA, United States
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box is growing fast. Real fast. Every business in the world is looking to modernize the way that they work. As the leader in Intelligent Content Management, Box is the ideally positioned company to help enterprises transform how people collaborate together, onsite or remotely. We want to make sure that our Search capabilities are world-class, enabling our users to find the content they need quickly, accurately, and intuitively. That's where you come in! As a product leader for Box Search, you will shape the vision and evolution of critical features that empower our users to discover and access their content with speed and precision.
You'll be responsible for everything from understanding the diverse needs of our admin and end-user personas, to defining intuitive customer experiences including APIs, and ensuring that everything is delivered with the performance, resiliency, and security that our enterprise customers depend on. You will work closely with our talented Poland-based Search engineering team.
WHAT YOU'LL DO
Define the product strategy and roadmap for Box's Search capabilities, identifying opportunities to enhance content discoverability, search relevance, and user experience.
Drive requirements for core Search features (e.g., semantic search, intelligent ranking, and personalized results).
Deeply understand and advocate for both admin and end-user personas, translating their diverse use cases into compelling product requirements.
Discover, collect, analyze, and communicate problems and opportunities related to the search experience at Box, leveraging data to inform decisions.
Prioritize between requirements and work with engineering teams on fiscal year, quarterly, and Agile planning.
Champion ideas to provide continuous improvements to the Search platform at Box.
Partner closely with other Product Managers, Engineering leaders, and cross-functional stakeholders across the company to align roadmaps, scope, and prioritize capabilities to power the overall Box content platform.
Engage directly with customers to understand their evolving needs, gather feedback, and validate product concepts.
Effectively communicate product strategy, vision, and day-to-day progress to various audiences, from engineering teams to executive leadership.
WHO YOU ARE
Bachelor's degree in Computer Science, Product Management, or equivalent experience in related fields.
5-7 years of experience as a Product Manager, Product Owner (in Agile), or a similar role in a software company, with a strong focus on search, information retrieval, or discovery products.
You demonstrate an in-depth understanding of search technologies, indexing, ranking algorithms, and query processing.
You possess excellent communication skills, capable of articulating complex strategies and day-to-day details clearly and concisely to diverse audiences.
You are adept at engaging with customers, actively listening to their needs, and translating them into actionable product insights.
You have strong people skills, enabling you to build effective relationships and collaborate seamlessly with multiple stakeholders across product, engineering, sales, and customer success teams.
You have a solid technical background, allowing you to understand platform capabilities, technical constraints, and engage effectively with engineering teams.
You have experience working in a highly cross-functional environment.
You have an innate curiosity and ability to dive deep into product and technical architecture.
You know how to leverage data effectively to inform decisions, set requirements, and evaluate success.
You love inspiring teams, managing complexity, driving operational excellence, and delivering extraordinary results.
ADDITIONAL POINTS FOR
Experience with large-scale search platforms (e.g., Elasticsearch, Solr, or similar technologies).
Familiarity with machine learning applications in search, such as learning-to-rank, natural language processing (NLP), or semantic search.
Experience with cloud-native technologies and distributed systems.
Understanding of content management systems and enterprise software.
Knowledge of search analytics and relevance tuning methodologies.
BENEFITS
Check out the
overview of Life at Box
which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$181,000
—
$226,500 USD
Location: Remote - Americas, Europe
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:
We’re looking for a Senior Software Engineer to design and ship autonomous execution for agents acting on Alpaca accounts. The same platform has to serve external algorithmic traders, partners building products on Alpaca, operators, and partners who embed Alpaca so their end users’ agents can act.
You will design and ship account-level policy and the checks on the path in front of our trading and risk systems. You will work with the engineers who own our MCP servers, tools, and skills, and with the team that owns authentication and authorization. You will help Product, Compliance, and Risk shape the control model, and you will ship the implementation.
This is a hands-on role. You will not manage people directly. You will lead through architecture, code, design reviews, and mentorship, and you will ship the first version yourself. You will partner with Product, Compliance, Risk, and the team that owns identity and authorization to define the control model. Broker risk controls stay with the teams that own them.
Things You Get To Do:
Lead the application architecture for safe agent execution, from the tool call through to our trading systems.
Design and build the account-level policy and guardrails for external agent actions.
Own the services that evaluate those rules on the path into our trading systems.
Define how agent-initiated trading actions behave, with the engineers who own our tools and skills.
Keep Alpaca’s execution model current with the MCP protocol and with connector, plugin, and skill standards, and translate what changes into account policy, guardrails, and trading actions.
Partner with Product, Compliance, Risk, and the identity platform to define the control model and ship it.
Own production reliability for the policy and guardrail services.
Review designs across teams and guide the technical decisions where agent actions meet brokerage systems.
Mentor engineers and raise the quality of design and implementation in this area.
Who You Are (Must-Haves):
5+ years of software engineering experience, building and operating production backend systems. Evidence of scope and ownership matters more than a strict year count.
Shipped autonomous execution: software that took actions under an explicit policy without a person approving each action, and that rejected or stopped actions outside that policy.
Designed and implemented account-level policy in an application: durable rules for what a caller may do, enforced on the action path, with an audit of the decision.
Enough MCP architecture to work with stateless and stateful behavior, and experience building to MCP, or to connector, plugin, or skill standards, as they have changed in production.
Able to define, with Product, Compliance, and Risk, which account rules allow an unattended action.
Proficiency in Python or TypeScript, and a willingness to work primarily in Go.
Strong architectural judgment, with a record of shipping while requirements are still being defined.
Clear communication with engineers, product, compliance, and risk partners.
Who You Might Be (Nice-to-Haves):
Experience with agent identity and authorization, such as OAuth, tokens, scopes, and delegated access, and comfort partnering with the team that owns that platform.
Experience shipping developer-facing tools, SDKs, or MCP servers.
Experience building agents with a framework such as LangChain.
Experience or understanding of financial markets.
Experience working at a startup.
Experience working remotely.
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
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
We're looking for a Product Manager to own Pricing within our Growth team across Deliveroo and Wolt! This role operates across 40+ markets in EMEA, and sits at the heart of our marketplace: Our fee strategy directly shapes consumer conversion, order frequency, PnL outcomes - and connects deeply to rider earnings and merchant economics across the Globe. You'll be responsible for building a pricing strategy and experimentation roadmap that grows revenue and profitability sustainably, without compromising the customer experience.
This is a very high-visibility role. You'll partner closely with Leadership, Data Science, Engineering, Finance, Marketing, and Operations to design, launch, and iterate on pricing experiments across all markets, from delivery fee and service fee algorithms to 0-1 new ventures. You'll be expected to build a strong testing culture, translate ambiguous commercial questions into a rigorous experimentation agenda, and communicate results and trade-offs clearly to senior stakeholders.
About the Team
Our ambition is simple: make our platform an affordable, daily habit for all users.
The Pricing team builds the systems and experiences that touch every single order — from delivery options to promotions, fees, and entirely new pricing models. Operating across 40+ markets, our work sits at the intersection of customer value, growth, and marketplace economics.
Small changes at this scale can change how customers perceive us, how often they order, and the economics of the entire marketplace. We bring together consumer psychology, experimentation, data science, economics, and product craft to answer one deceptively difficult question:
How do we make every order feel like great value while driving sustainable growth?
What You’ll Do
Own the end-to-end strategy and roadmap for a portfolio of global pricing products.
Identify and launch major growth opportunities across affordability, conversion, frequency, revenue, and profitability.
Drive 0 to 1 big bets through validation, launch, then scale them 100X.
Partner deeply with Data Science and ML Engineering to design pricing algorithms, experiments, and scalable platform capabilities.
Develop hypotheses, launch experiments, interpret results, and turn learnings into product strategy.
Define the metrics and decision frameworks used to evaluate customer value, growth, and marketplace economics.
Communicate strategy, results, and tradeoffs to senior leaders across DoorDash.
What We’re Looking For
You might be a great fit if you:
Have significant product management experience building complex consumer, marketplace, growth, or monetization products.
Are deeply analytical and comfortable using experimentation and data to make high-stakes product decisions.
Are comfortable working closely with Data Science and ML Engineering on algorithmic or optimization problems.
Can turn ambiguous commercial questions into clear and executable product hypotheses and roadmaps.
Can operate as a “conductor” — aligning technical, operational, and business stakeholders and stitching together strategy, execution, and influence across teams.
Why Join Us?
At Deliveroo and Wolt, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.
We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day.
🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support.
🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning.
💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire
here
.
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Cluj
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
As part of our team, you will contribute to building and evolving our cloud offering that enables clients to train, deploy and consume Machine Learning models at scale. You'll be part of our Document Understanding platform, creating and improving features that enable users to train custom models with their own datasets and leverage them to split, classify and extract meaningful data from documents. Furthermore, your work will directly impact the scalability, quality, performance, and reliability of our platform, ensuring seamless integration across diverse environments and products
WHAT YOU'LL DO AT UIPATH
- You will develop robust and reliable components, identify bugs and
bottlenecks and devise solutions to address these issues
- You will use your problem-solving skills to develop and build code with
performance in mind
- You will use an engineering centric approach to solve complex problems in the
document understanding space
- You will work with teams across other locations to innovate and develop best-
in-class document understanding solutions
- You will maintain and improve the code quality, organization, and automation,
by writing unit tests, integration tests and e2e automations
WHAT YOU'LL BRING TO THE TEAM
- Proven track record (5+ years experience) of architecting and engineering
world-class, large scale commercial applications and services.
- Proficiency in one or more system level programming languages (C#, Java,
Python, Rust etc.) and a willingness to learn new ones
- Experience working with cloud ecosystems such as Azure, AWS or GCP
- Experience with Docker, Kubernetes or other containerization technologies.
- Strong understanding of object-oriented programming and architectural
design patterns.
- Good grasp of multithreading, synchronization, asynchronous, cloud
programming.
- Deep understanding of data structures & algorithms.
- Familiar with modern engineering practices, including agile development,
CI/CD and DevOps.
- Ability work with globally distributed teams.
- Effective teamwork, collaboration and communication skills
NICE TO HAVE:
- Programming experience with .NET framework, C#
- Familiarity working with documents and using OCR technologies
- Familiarity with Windows Presentation Framework
- Full-stack development is good to have
#LI-NB1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Warsaw, Poland
What is Box?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
Why Box needs you:
Box's Feature Flagging Platform is a critical piece of internal infrastructure that enables engineering teams across the company to safely ship features, run experiments, and manage rollouts at scale. As a Software Engineer III on this platform, you will be at the heart of how Box engineers build and release software - ensuring the platform is reliable, scalable, and observable.
What you'll do:
Design, develop, and maintain features for Box's internal Feature Flagging Platform, ensuring reliability and scalability
Work closely with architects, staff engineers and across teams to introduce and adopt feature flagging mechanism across various products
Actively engage in team meetings, building roadmaps, carving technical vision and spreading knowledge across engineering departament
Play a role in developing and fostering Box culture
Represent Box Poland internally and externally
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise
Who you are:
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
Bachelor's degree in Computer Science or equivalent practical experience
3+ years of professional software development experience
Hands-on experience with Linux, ServiceMesh, Observability tooling, and Kubernetes
Experience working in Agile/Scrum environments using tools such as Jira, Confluence, GitHub Enterprise, and GIT
Strong English proficiency - written and verbal communication skills required for cross-functional collaboration
Preferred skills:
Experience with Python
Strong algorithmic and coding fundamentals
Percentage of Time Spent:
60% coding, fine tuning, infrastructure setup
10% documentation
10% bug fixes
10% meetings
10% on-call support
Methodology
Agile management - Scrum
Issue tracking tool - Jira
Knowledge repository - Confluence
Code reviews - GitHubEntreprise
Version control system - GIT
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to
work from their assigned office a minimum of 3 days per week
, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
BENEFITS
Check out the overview of the
benefits and additional perks offered at Box.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation".
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice
. For more details on how Box Poland protects your information, please see our
Supplemental Personnel and Candidate Privacy Notice
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Location: Baku
Workplace: onsite
Responsibilities
Develop and maintain
robust, high-performance application functionality and services;
Design and implement
new features that enhance user experience and align with business objectives;
Collaborate
with product managers, designers, and other developers to deliver efficient, reliable, and scalable software solutions;
Proactively identify
opportunities to improve existing codebases, architecture, and processes;
Conduct code reviews
to ensure code quality, maintainability, and adherence to best practices;
Contribute innovative ideas
and technical insight to improve overall product design and system performance;
Write and maintain
comprehensive documentation for developed features, APIs, and modules;
Participate actively
in team development activities, sprint planning, and retrospectives;
Ensure code quality
through the creation of automated unit, integration, and functional tests;
Stay up-to-date
with emerging technologies and industry trends relevant to full-stack development.
Requirements
3+ years
of professional experience in backend development with
Node.js
(preferably with
TypeScript
);
2+ years
of hands-on experience in
frontend development
using
React.js
and related technologies (Redux, Hooks, etc.);
Strong understanding of
algorithms
,
data structures
, and
software design principles
;
Solid knowledge of
object-oriented programming (OOP)
,
design patterns
, and
modular architecture
;
Experience with
RESTful APIs
,
GraphQL
, or
microservice architectures
;
Familiarity with
CI/CD pipelines
,
containerization (Docker)
, and
version control (Git)
;
Proven ability to write
clean, maintainable, and testable code
following best engineering practices;
Experience with
automated testing frameworks
(Jest, Mocha, or similar);
Excellent collaboration and communication skills in
team-based agile environments
;
Ability to read and understand
technical documentation in English
;
A proactive, problem-solving mindset with a focus on continuous learning and improvement.
ОфисseniorBaku
ГибридLondon
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УдалённоWe maintain core hours (9:30am - 2:30pm Pacific) when everyone is online, regardless of timezone
seniorLos Angeles, USA
seniorNovi Sad, South Bačka, Serbia, EMEA
УдалённоГеография найма не уточнена
УдалённоseniorГеография найма не уточнена
СтажёрBrussels; London; London OR Brussels
ОфисseniorAuckland
УдалённоBrussels, Belgium
seniorRedwood City, CA, United States; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
УдалённоseniorRemote - Americas, Europe
London, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief