Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
We are looking for an experienced product research leader to support product development across WHOOP's hardware, wearables, algorithms, sensors, and advanced technology portfolio. You’ll manage a team of research staff that own end-to-end research for early-stage innovation, physical products and apparel, and algorithm development out of WHOOP Labs Boston. You will also contribute to the broader WHOOP Labs research strategy, bringing your research expertise to the Human Subjects Research leadership team.
The ideal candidate brings experience leading researchers in a fast-paced technical product environment, with particular preference for experience supporting hardware, sensors, wearables, or other physical products through iterative development cycles. This position is in-person in Boston, MA 5 days per week with travel 2-3 times per year.
RESPONSIBILITIES
- Develop, manage and scale the human subjects research team with an emphasis on professional development and coaching at multiple levels of seniority.
- Champion research integrity, including ensuring that data collection tools and team practices are optimized for the fast-paced, complex nature of product innovation work.
- Advocate for the needs of your team and their work to unlock high-volume, high-quality research on site at WHOOP Labs Boston.
- Define and monitor key performance indicators (KPIs) to measure the effectiveness of program initiatives and track progress towards goals.
- Collaborate closely with other research leaders to build a strong culture across WHOOP Labs and ensure strong ways of working between research execution and operations teams.
- Partner with stakeholders across signal engineering, machine learning, hardware, apparel, and product to coach on working with HSR and facilitate effective collaboration between teams.
- Champion of culture of team trust, support, and communication, emphasizing the complexities of conducting public-facing, high-engagement activities.
- Partner with the Associate Director of Lab Operations and Associate Director of WHOOP Labs Doha to build the WHOOP Labs brand across the global organization.
- Reports to the Sr. Director of Human Subjects Research
QUALIFICATIONS
- 5+ years of experience in a Research Manager, Research Lead, or similar human subjects research leadership role within a technical product development environment.
- 2+ years of direct people management experience, with a demonstrated ability to coach and develop researchers across disciplines and levels.
- Experience supporting research for consumer hardware, sensors, wearables, connected devices, or other physical products strongly preferred.
- Familiarity with physical product development processes, including early-stage prototyping, iterative testing, hardware development timelines, and/or feasibility explorations.
- Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure research ROI and impact
- Experience collaborating across multiple functions including engineering, privacy/legal, research, recruitment, and product.
- Passion for building a strong team culture and coaching future research leaders.
- Strong organizational, communication, and documentation skills.
- Passion for health, wellness, and WHOOP’s mission.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $140,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Vienna, Austria
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Ever wondered what it's actually like to build a career at a company millions of developers rely on?
Software Engineers at Sentry write real code on real projects that ship to production. No busywork, no "prove yourself first" purgatory. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about.
You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute.
New grad hires are rad hires. Our onboarding is built to set you up for long-term success from day one — comprehensive training, dedicated mentorship, social events, and a built-in community of peers who started right alongside you. (There are also snacks. The good kind.)
Many of our new grads started out as interns here first — read the stories https://blog.sentry.io/life-at-sentry/ from Sentaurs who liked it enough to come back full-time.
IN THIS ROLE YOU WILL
- Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience
- Design, develop, and ship features and systems that drive real value to customers
- Own projects end-to-end, from design through production
- Receive ongoing feedback, coaching, and mentorship from your manager and teammates
YOU'LL LOVE THIS JOB IF YOU
- Want to be treated like an engineer from day one
- Care about how software actually works
- Are excited about where AI is taking software development and want to build in the middle of it
- Want mentorship that's real, not scheduled
- Like shipping things and seeing them used at scale
QUALIFICATIONS
- Recently completed or completing an undergraduate or graduate program in Computer Science or a related field
- At least one previous internship or equivalent hands-on experience
- Solid grasp of algorithms and data structures fundamentals
- Comfortable using GitHub: branching, pull requests, code review, the works
- Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework
- Can pick up a new language or framework quickly and run with it
- Experience collaborating on an engineering project with a team (class, open source, work, it counts)
- Available to start in 2027 and able to relocate to Vienna, Austria (we'll help get you there and cover housing)
- Please note the following:
- This is a full-time position
We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €80,000.00. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Vienna, Austria
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Ever wondered what it's actually like to intern at a company millions of developers rely on?
Software Engineering Interns at Sentry write real code on real projects that ship to production. No fetch-the-coffee. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about.
You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute.
This is a 12+ week hybrid technical internship https://sentry.io/careers/internships-and-early-careers/ that treats you like a full-time Sentry engineer — not just "an intern." You'll be paired with a manager and a dedicated team mentor, get access to social events, and wrap up the program with a final presentation to the Sentry team.
Don't just take our word for it — hear it from the people who lived it. Our intern blog https://blog.sentry.io/life-at-sentry/ is full of stories from past Sentaurs about the features they shipped and the teams they joined, and more than a few of them liked it enough to come back as full-time new grads.
IN THIS ROLE YOU WILL
- Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience
- Design, develop, and ship a programming solution that drives real values to customers
- Receive meaningful feedback, coaching, and mentorship from your manager and teammates
YOU’LL LOVE THIS JOB IF YOU
- Want to be treated like an engineer, not "an intern"
- Care about how software actually works
- Are excited about where AI is taking software development and want to build in the middle of it
- Want mentorship that's real, not scheduled
- Like shipping things and seeing them used
QUALIFICATIONS
- Currently enrolled in an undergraduate or graduate program in Computer Science or a related field
- At least one previous internship or equivalent hands-on experience
- Experience collaborating on an engineering project with a team (class, open source, work, it counts)
- Solid grasp of algorithms and data structures fundamentals
- Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework
- Can pick up a new language or framework quickly and run with it
- Comfortable using GitHub: branching, pull requests, code review, the works
- Available to start summer 2027 and able to relocate to Vienna (Austria) for the duration of the internship (we'll help get you there and cover housing)
We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €3,285.00 per month. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Hamburg
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment.
Where 50 Billion Daily Predictions Begin
The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships.
The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user.
On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible.
Your Mission & Who We Are Looking For:
- Auction & Marketplace Analytics: You will monitor core ad exchange KPIs—including bid rates, win rates, timeout rates, eCPM, and render rates—and run deep dives to uncover bidding patterns and supply path optimization (SPO) opportunities. We are looking for someone with 2–3 years of experience as a Data or Product Analyst in AdTech (Programmatic, Ad Exchange, SSP, or DSP) who understands what drives marketplace health and revenue.
- A/B Testing & Revenue Strategy: You will design, track, and evaluate A/B tests for product features, floor pricing rules, and traffic shaping algorithms. We are looking for a data-driven thinker who loves solving business puzzles, testing commercial hypotheses, and proving what actually moves the needle on product performance.
- Advanced Data Extraction: You will query massive datasets to turn millions of raw ad events into clear business answers. We need advanced SQL skills to effortlessly query billions of rows, spot anomalies, and translate complex metrics into clear, actionable recommendations for our product and demand teams.
- Traffic & Cost Efficiency: You will analyze bid request data to identify inefficient traffic and help product managers design smart routing rules. We need an analyst who can balance top-line revenue with operational costs, finding ways to streamline traffic (Queries Per Second) without sacrificing publisher earnings.
- Executive Dashboarding & Reporting: You will build automated, easy-to-read dashboards that give Product, Engineering, and Demand Partnerships real-time visibility into campaign performance. We are looking for hands-on experience with BI tools like QuickSight, Tableau, Looker, Power BI, or Redash to make key business numbers intuitive and accessible to everyone.
- Agile Project Execution: You will balance scheduled analytics projects with quick-turnaround deep dives when marketplace metrics shift unexpectedly. We need a hands-on, proactive analyst who thrives in a fast-paced environment and can independently manage multiple analytical priorities.
🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Paris, London
Programme duration:
from 5 to 6 months, starting in 2027.
Who qualifies:
Penultimate or final year students completing a Bachelor's, Master's.
Qube Research & Technologies (QRT)
is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies.
Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems.
Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership
Your future role at QRT
As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design.
Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas:
Quantitative Data Analyst
– Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale.
Data Engineer
– Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively.
Data Platform Engineer
– Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data.
Your present skillset
Computer science foundations
– A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming.
Programming
– Experience with Python and an interest in using software to solve data or infrastructure problems.
Engineering interests
– An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter.
Systems
– Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading.
Problem solving
– A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions.
Communication
– Able to communicate clearly and collaborate directly with researchers, traders and engineers.
Approach
– Self-motivated and keen to develop autonomy as you learn.
Preferred qualifications (a plus):
Knowledge of SQL or NoSQL databases.
Experience with front-end development.
An interest in financial markets and/or algorithmic trading.
Interviewing
Application
– Submit your application online. We review applications on a rolling basis.
Technical Assessment
– Selected candidates will complete a coding challenge focused on core programming and problem-solving skills.
Interviews
– Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you approach unfamiliar problems and how you work with others.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Lisbon
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Software Engineer plays role in a team is technically responsible for particular feature delivery which consists of:
Presenting a solution to Architects
Technical drive feature delivery, make decisions, development leadership - distribute tasks across one or two regular engineers
Work with QA to review testing approaches, provide all details needed for testing, and review test plans
Be responsible for all internal feature documentation
Job Duties and Responsibilities:
Work closely with Tech leads and architects, Kanban master, QA and PM to deliver high-quality work
Complex features development
Provide good code coverage in unit and integration testing
Be ready for every day technical decisions
Professional communication with other cross-functional team representatives
Be ready for sustenance in areas under engineer's responsibility
Skills You Must Have:
2+ years of experience in enterprise application design, development
2+ Experience in backend applications development
Proven ability to deliver solutions, offer implementation support, and engage with customers.
1+ years of experience in building scalable distributed data systems using Java and Cloud Technology.
Good technical background with previous development experience for enterprise customers
Strong Java knowledge (Java 8 and above), Java Runtime basics
Provide Technical mentorship and leadership to junior team members.
Hands-on technically, comfortable reviewing and writing code.
Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
Experience in performance optimisations, code profiling, and Java application runtime analysis
Skills That Are Nice to Have:
Experience in customer support in the SaaS area
Experience in building scalable distributed data systems using Cloud Technology
Technical background with previous development experience for enterprise customers
Experience with Big Data Technologies
Experience with No-SQL databases
Experience with cloud-managed services - AWS, GBT, Azure
MS or equivalent experience
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: Berlin, Germany
We're handing someone the keys to Pitch's social presence: on camera, in the edit, in the room with our leadership and our customers. Think of it less like a marketing job and more like a residency. You get a fast-growing startup as your creative playground, full access to the people and stories inside it, and the freedom to figure out what actually gets watched.
You'll be the face of our social videos. Confident, funny, a little chaotic in the best way, and always up for the trend everyone else is too nervous to try. You'll interview experts and customers, get our leadership team talking on camera (or write for them when they'd rather not), and show up wherever the story is, remote or in the office, on the road, at events. This isn't about racking up views for their own sake. It's about content that gets people to actually notice Pitch and want in.
This role begins as a 6-month freelance engagement. If we’re a great match (and we hope we will be!), we’d love to talk about bringing you on full-time.
What you’ll do
Star in video content: solo, with Pitchers, with customers, with partners, wherever the camera needs to be
Shoot and edit, including cutdowns for ads and other channels
Write short-form copy that doesn't sound like it came out of a committee, and get it live through SproutSocial
Show up at events and meet-ups to capture the moments worth sharing
Chase the algorithm across LinkedIn, YouTube, Instagram, and TikTok, and know that a good TikTok is not the same thing as a good YouTube Short
Ghostwrite for leadership or coach them to find their own voice on social
Partner with marketing to bring launches, updates, and campaigns to life
Requirements
A creator first. You likely already have your own following, and you've grown brand channels across more than one platform at once, ideally for a SaaS, tech, or professional services company
Genuinely comfortable and excited on camera. This role doesn't work if you'd rather be behind the lens
A sharp, opinionated read on what works where, and why
The instincts of a self-starter who tests fast, drops what doesn't work, and moves on without sulking about it
Strong copywriting and video editing skills, with a real eye for the details that make a cut feel polished, and you already know tools like Riverside and SproutSocial
Experience building content or social from the ground up at a fast-growing company
A collaborator people want to work with. You make the people around you, and the partners you work with, better
Benefits
Curious what it's like to work at Pitch?
Find out more about how Pitch operates as a remote-first company through using
powerful collaboration tools
and
dogfooding our own products
!
Pitch was founded in Berlin, but as
a remote-first company
, our team works together from all over the world. With that mindset, we're building an inclusive workplace that invites diverse perspectives, and values talent from diverse personal and professional backgrounds. For more specifics on how we honour our commitment to diversity in our hiring process, check out our
Recruiting D&I Pledge
.
Location: Bucharest
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 a Principal Software Engineer, you will help define and evolve the technical strategy for cloud services that power critical automation capabilities across the UiPath platform. You will lead architecture and design across complex backend and distributed systems, often working through ambiguity, dependencies, and cross-team impact. You will help teams make the right technical tradeoffs across scalability, reliability, security, customer experience, operational excellence, and cloud cost, while setting engineering standards that support UiPath’s current and future growth.
WHAT YOU'LL DO AT UIPATH
- Lead the architecture and technical direction of complex backend and cloud-native services across the UiPath platform.
- Design scalable, secure, reliable, and high-performing distributed systems across cloud, on-premises, and hybrid environments.
- Partner with engineering leaders, architects, product managers, and cross-functional teams to shape technical solutions for high-impact product and platform areas.
- Drive technical planning and roadmap input for complex services, platform capabilities, or cross-team initiatives.
- Identify long-term scalability, reliability, security, performance, and cost challenges, and lead the design of sustainable solutions.
- Set high standards for system design, code quality, testing, observability, automation, incident management, and engineering excellence.
- Mentor and guide engineers through design reviews, technical discussions, architecture decisions, and hands-on technical feedback.
WHAT YOU'LL BRING TO THE TEAM
- 7+ years of software engineering experience, with strong backend and cloud development experience.
- Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go.
- Strong experience designing and building distributed systems, microservices, APIs, and cloud-native architectures.
- Proven ability to influence technical direction and drive architecture decisions across teams.
- Experience building and operating production-grade services in cloud environments such as Azure, AWS, or GCP.
- Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, observability, and production operations.
- Strong understanding of system design, data structures, algorithms, multithreading, asynchronous programming, and performance optimization.
- Experience with relational and/or NoSQL databases, messaging systems, event-driven architectures, or high-scale data processing.
- Ability to balance customer experience, reliability, security, scalability, and cloud cost when making technical decisions.
- Strong technical leadership, ownership, and communication skills, with the ability to guide teams through ambiguity.
- Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems is a plus.
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: London, Paris, Wrocław, Zurich, Dubai, Aarhus, Amsterdam
Programmes offered:
Final-year internship, penultimate-year internship
Location:
London, Paris
, Wrocław, Zurich, Dubai, Aarhus, Amsterdam
Programme duration:
3–6 months or 12-month industrial
placement
, starting in 2027
Who qualifies:
Penultimate or final-year students completing a
bachelor’s or master’s
degree
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager
operating
across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research,
technology
and trading
expertise
to develop and run systematic strategies.
Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset
classes
and trading horizons, from ultra-low-latency systems to large-scale research,
analytics
and risk infrastructure. We invest heavily in engineering,
automation
and scalable systems because better technology allows us to test ideas faster,
operate
more reliably and tackle harder problems.
Our internships are designed to give students meaningful experience of that work.
You’ll
join a team, contribute to real
projects
and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership.
Strong performance
during the internship may lead to consideration for a full-time graduate role.
Your future role at QRT
As a Technology Intern,
you’ll
help build the systems, platforms and tools behind QRT’s research,
trading
and investment activities.
You’ll
work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance,
reliability
and good engineering judgement matter.
Depending on your interests and strengths, you may join one of two Technology disciplines.
Software Engineer (London
, Wrocław, Zurich
)
Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets,
brokers
and data providers, as well as the systems used for order generation, execution, analytics, risk
management
and P&L reporting.
The engineering problems vary
considerably in
scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible to users across the firm.
As an intern,
you’ll
work with experienced engineers, quantitative
developers
and researchers on a defined technical problem.
You’ll
be expected to understand the problem properly, make sensible engineering choices and build something useful.
Examples of projects you may work on include:
AI-Powered Static Analysis – Build a tool combining static analysis and large language models to
identify
double-deletion and memory-management issues in our public API.
Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force
instructions
and algorithmic orders, making strategy testing more representative of live trading.
Risk Data Platform – Extend our risk data platform to provide the data
required
to support trading in a new trade type.
Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity.
Quantitative Developer (London, Paris, Wrocław, Dubai, Aarhus, Amsterdam)
Quantitative Developers work at the intersection of research,
trading
and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse
markets
and run strategies in production.
The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning
platforms
or creating tools that make complex data easier to work with.
You’ll
work on live technical problems where performance, reliability and iteration speed all matter.
It’s
a collaborative role with direct exposure to quantitative research, financial
markets
and production trading systems.
Examples of projects you may work on include:
Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter.
Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently.
Research and Trading Tools – Design tools that simplify workflows, improve access to
data
and make complex information easier to understand through effective visualisation.
You’ll
work directly with traders,
researchers
and risk teams to understand their problems and build practical solutions.
Your current skillset
Eligibility: Penultimate or final-year students pursuing a Bachelor’s,
Master’s
in a STEM discipline, such as Computer Science, Physics,
Mathematics
or a related Engineering subject, on track for a 2:1 or above from a leading institution.
Interest in technology: You enjoy solving technical problems and are curious about how systems work.
You’re
interested in building things, not just studying them.
Software engineering experience: We value hands-on experience wherever you gained it — through personal projects, open-source contributions, hobbies,
internships
or academic work.
Programming:
Proficiency
in C++,
C#
or Python.
Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux.
Mindset: Curious,
proactive
and comfortable asking questions. You look for ways to make systems simpler,
faster
or more reliable and can turn those observations into practical improvements.
Approach: Self-motivated,
thoughtful
and comfortable taking ownership of a problem.
Interviewing
Application
– Submit your application online. We review applications on a rolling basis, so applying early is recommended.
Technical Assessment
– Selected candidates will complete a coding challenge focused on core programming and problem-solving skills.
Assessment Centre / Online Interviews
– Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams.
We’ll
explore your technical thinking, how you approach unfamiliar problems and how you work with others.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs over $500M/year in ad spend and has grown 5× since March. The role involves owning the Meta Ads methodology encoded as deterministic rules and skills within the AI agent, improving and testing the algorithm to run Meta media buying end to end from inputs like goals, parameters, and creatives. Responsibilities include maintaining a single source of truth methodology, improving it by generating and testing hypotheses on historical data, building a testing machine to automate testing cycles, and creating implementation and control skills for account audits and adaptations. The ideal candidate is a top expert in Meta methodology with experience running media buying at scale (~$500K+/month), possessing deep knowledge of Meta account architecture, creative testing, data analysis, and decision logic beyond simple rules. They should be AI-native, able to build pipelines and automation by hand, and convert logic into deterministic skills backtested before deployment. The team includes top performance marketing and product experts from major agencies and ad platforms. The position offers up to $180,000/year gross, remote work worldwide within UTC+5 timezone, provided tools including AI infrastructure, 50% education cost coverage, two weeks vacation twice a year plus holidays, and employment via Deel contract. Application is through the "Apply for this role" button on the provided link, followed by recruiter contact and interviews with leadership.
УдалённоYou can work remotely from anywhere in the world, as long as your timezone is no further east than UTC+5: the Americas, Europe, Africa, the Middle East, and Western/Central Asia all work
Location: Bangalore - Engineering
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
About the Role
We are seeking a highly skilled Principal Software Engineer to lead the design and development of the Data Fabric platform—a next-generation distributed data infrastructure that enables seamless data integration, processing, governance and security at scale. As a key technical leader, you will architect robust, scalable, and high-performance systems while mentoring engineering teams to deliver cutting-edge data solutions.
WHAT YOU'LL DO AT UIPATH
- Architect, Design and Build: Lead the technical vision, architecture, and implementation of the Data Fabric platform, ensuring scalability, reliability, and security.
- Distributed Systems: Design and optimize large-scale distributed data systems for ingestion, storage, processing, and querying.
- Technical Leadership: Mentor senior engineers, set best practices, and drive innovation in data engineering and infrastructure.
- Cross-functional Collaboration: Work closely with teams across other locations to innovate and develop best-in-class solutions.
- Performance Optimization: Identify bottlenecks, improve system efficiency, and ensure high availability for data workloads.
- Standards & Governance: Establish engineering standards, code reviews, and CI/CD pipelines for high-quality deliverables.
- Ownership: Stay accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc.
- Emerging Technologies: Evaluate and integrate new tools (e.g., Apache Kafka, Spark, Flink, Iceberg, Kubernetes) to enhance the platform.
- Leverage AI tools/Coding agents responsibly to accelerate development (e.g., code generation, testing, debugging, documentation), while maintaining a high engineering quality bar.
WHAT YOU'LL BRING TO THE TEAM
- Bachelor’s/master's degree in engineering, Computer Science (or equivalent experience).
- 12+ years of software engineering experience, with 5+ years in distributed data systems
- Proficiency in one or more system level programming languages (C#, Java etc.) and a willingness to learn new ones
- Strong understanding of object-oriented programming, architectural design patterns, system design and data structures & algorithms.
- Good grasp of multithreading, synchronization, asynchronous, cloud programming.
- Experience working with Cloud ecosystems such as Azure, AWS, GCP.
- Familiar with modern engineering practices, including agile development, CI/CD and DevOps.
- Experience with Docker, Kubernetes or other containerization technologies.
- Strong verbal and written communication skills, and experience in delivering critical time bound projects, managing timelines and team development.
- Proven track record of effectively collaborating with globally distributed teams.
- Ability to understand, communicate, provide feedback on, and drive complex technical decisions.
Nice to have
- Full-stack development experience
- Understanding of LLMs and the AI powered API automation.
- Experience with GraphQL, data mesh architectures.
- Familiarity with observability tools (Prometheus, Grafana)
#LI-VR1
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: Bangalore, India
About the company
Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”
Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.
We have raised over $37M from top-tier investors including Consensys, Tether, and Animoca Brands.
About the role
We are looking for a Software Development Engineer 1 (Backend) to build and scale the APIs and services that power Transak's global on/off ramp platform. You will work primarily with Node.js, MongoDB, and Redis in a microservices environment, shipping production features that are used by millions of users across our partner applications.
This role is ideal for an engineer with 2–5 years of experience who writes clean, well-tested code, cares about correctness and performance, and wants to grow into owning services end-to-end. You will collaborate closely with senior engineers, product, and other pods, learning how we design for scale, reliability, and security in a regulated fintech environment.
Key Responsibilities
API & Service Development
Build, test, and maintain RESTful APIs and backend services in Node.js.
Model data effectively in MongoDB and use Redis for caching, queues, and rate limiting.
Contribute to microservices with clean, readable, and well-documented code.
Quality & Reliability
Write unit and integration tests; participate in code reviews.
Debug, profile, and fix issues in staging and production.
Follow secure coding practices in a compliance-sensitive domain.
Collaboration & Delivery
Understand the
product and business context
behind engineering requirements and contribute to shaping solutions, not just implementation.
Break down tasks, give reliable estimates, and ship iteratively.
Work with senior engineers on design and integrate feedback quickly.
Coordinate with frontend, product, and other backend pods on shared contracts.
Learning & Growth
Ramp up on distributed systems concepts and asynchronous communication patterns.
Proactively improve areas of the codebase you touch.
What We’re Looking For
2–5 years
of backend development experience.
Strong hands-on experience building APIs with
Node.js
.
Working experience with
MongoDB
and
Redis
.
Exposure to a
microservices
architecture.
Solid fundamentals in data structures, algorithms, and problem solving.
A good team player who collaborates well and gels easily with the team.
Strong problem-solving ability and product thinking — able to understand the underlying user/business problem, break down ambiguous requirements, evaluate trade-offs, and propose practical solutions rather than simply executing predefined tasks.
Nice-To-Haves
Exposure to distributed systems complexity (consistency, idempotency, retries, failure handling).
Experience with asynchronous communication (message queues, event-driven patterns, pub/sub).
Understanding of frontend systems and how they consume backend APIs.
Experience in high-growth fintech or Web3 startups.
Location: San Mateo
Workplace: Hybrid
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs.
Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers.
THE MISSION
Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing.
THE OPPORTUNITY
As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use.
If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role.
WHAT YOU'LL DO
- Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond
- Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments
- Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes
- Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem
- Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you
- Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap
- Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements
WHAT YOU BRING
- 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer
- Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API
- Real experience deploying software into enterprise customer infrastructure
- Strong Python proficiency (required) and AWS proficiency (required)
- A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between
- Experience building post-sales processes or playbooks from scratch
- Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus
- A technical degree (CS or equivalent)
- A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture
- Willingness to travel to customer sites as needed (roughly 15%)
- Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator
Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close.
WHY JOIN?
- Compensation: $230,000–$300,000 base plus extremely competitive equity
- Health benefits: 100% covered health benefits (medical, vision, and dental)
- 401(k): 401(k) plan with a 4% company match
- Time off: Unlimited PTO
- Wellness: Annual $2,000 wellness stipend
- Learning & development: Annual $1,000 learning and development stipend
- In-office perks: Daily lunches and snacks provided in the office
- Relocation: Relocation assistance for employees moving to the Bay Area
- Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships
- Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers
- Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean
- Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person
- Visa support: Open to visa transfers, including OPT and H-1B transfers
INTERVIEWING PROCESS
- Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics
- Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset
- Coding Screen (1 hour) — Live coding in Python with end-to-end debugging
- On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a Software Engineer, Research Technology, you will contribute to and grow into a small team building the software platform that powers researchers running compute-heavy analyses on very large event-stream datasets. The workload is analogous to a game engine’s replay and simulation loop, a telco’s real-time packet pipeline, or a bigtech streaming and analytics platform, applied to financial market data. Domain expertise in trading and market microstructure is welcome but not required on day one; we invest heavily in onboarding and pair every new engineer with a mentor.
The stack: modern C++ for the throughput-critical ingest and simulation core, Python plus C++ bindings for research tooling, distributed compute across HPC (Slurm today, evolving). You will help deliver high-quality data, fast and flexible compute tooling, robust simulation and deployment systems, and ergonomics that let researchers iterate quickly. Work spans raw exchange data ingestion, distributed HPC orchestration, and research tooling.
Key responsibilities
Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams.
Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale.
Orchestrate and improve reliability of data and compute pipelines on HPC clusters.
Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly (Python + C++ integrations).
Develop and maintain simulation frameworks tightly integrated with HFT/live trading platforms.
Support training and deployment of quantitative models used in trading.
Monitor, manage, and troubleshoot distributed platforms.
Optimize codebases for performance, reliability, and resource efficiency across the full stack.
Required qualifications
2+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected.
Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design.
Data engineering fluency: designing schemas, choosing storage formats, understanding compression and I/O trade-offs, and operating pipelines that write and read hundreds of TB. Comfortable reasoning about columnar formats (Parquet / Arrow) or their equivalents in your domain (event logs, telemetry, replays).
Experience designing and operating services or platforms used by other technical users in data-intensive environments.
Comfortable supporting internal users and iterating on ergonomics and workflows.
Demonstrated ability to ship production software safely and repeatedly, with an obsession for data driven quality.
Excellent written and verbal communication; collaborative mindset and empathy
Desirable / nice-to-have
Rust experience alongside C++ and Python.
Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count.
GPU programming experience.
Familiarity with ML/Deep Learning frameworks.
Prior finance or market-data experience, including low-level market connectivity.
Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure) - any exposure.
Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks) - any exposure.
Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer) - any exposure, including internship or open-source work.
What we evaluate in the interview loop
We evaluate CS fundamentals, ability to reason about correctness and performance under real constraints, code quality, communication, and clear signs of growth (asks good questions, learns fast, takes feedback well). Depth of prior industry experience is not the bar; trajectory is. We do not test market-microstructure knowledge in loops; that is taught on the job. Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-PR1
Location: Remote
We're hiring a Junior Trader to join our trading team. You'll work directly with senior traders across strategies on centralized and decentralized venues, and take on your own responsibilities quickly.
We don't require prior DeFi experience. We do require that you're quantitative, technical, and able to move fast without breaking things.
WHAT YOU'LL DO
- Execute and manage trades across centralized (CEX) and decentralized (DEX) venues — order books, AMM pools, and concentrated liquidity positions.
- Monitor positions, inventory, and P&L in real time. Identify risks early and act on them.
- Build and improve the tooling the desk runs on: position trackers, reporting dashboards, hedging workflows, reconciliation.
- Analyze market and execution data to answer questions that matter — where slippage comes from, which pools are actually profitable, how our fill quality compares to the market.
- Develop real depth in market structure and protocol mechanics (AMMs, PMMs, lending protocols) and bring it back to the desk.
WHAT WE'RE LOOKING FOR
- 0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk.
- Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.
- Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.
- Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is.
- Sound judgment under pressure. Markets move at 3am and things break. We need someone who stays composed, thinks clearly, and escalates early.
- Precise communicator
- Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment.
NICE TO HAVE
- Personal trading, market-making, or on-chain activity of any kind — a portfolio, a bot, an arbitrage script, a Dune dashboard.
- Familiarity with Solana tooling (Jupiter, Orca, Drift) or EVM DeFi (Uniswap, Aave, Curve).
- Exposure to algorithmic or systematic trading.
- Machine learning or large-scale data analysis (regression, tree-based methods, classification).
- Internships or prior work at a trading firm, market maker, exchange, or protocol.
WHAT YOU'LL GET
- Direct mentorship from traders running real capital — you'll learn by working alongside them, not from a curriculum.
- Responsibility as fast as you can earn it, with clear feedback on where you stand.
- Exposure across the full stack of a trading operation: execution, risk, tooling, counterparty relationships, and market structure.
- A front-row seat as equities, commodities, and crypto converge on-chain.
Location: Remote (Argentina)
Come join Karat's
Interview Engineer
Community!
Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting.
This is a
contractor/freelancer
opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries
on our website
, and
require
that resumes be submitted in English.
What Interview Engineers do:
Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will:
Interview—
Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge.
Evaluate—
Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach.
Partner—
Collaborate with Karat to test content, processes, and products.
The experience you will bring:
3+ years of experience as a Software Developer or Engineer
Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills
Reliable access to a working webcam, microphone, and a stable Internet connection
Experience conducting technical interviews is preferred (e.g., data structures, algorithms)
While we review your application, learn more about
life as an Interview Engineer
by watching this video!
Additional Information
By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found
here
.
УдалённоRemote (Argentina); Currently, we are only accepting applications from candidates in the countries
ГибридVienna, Austria; A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support)
ГибридСтажёрVienna, Austria; A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридRelocation: Relocation assistance for employees moving to the Bay Area
География найма не уточнена
London
Singapore; Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply
Удалённоjunior0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk; Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment
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