Location: Remote, Germany, 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 is building data pipelines to power the modern data stack for thousands of companies.
We’re seeking a Principal Software Engineer to contribute to the technical architecture, design and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization.
This is a full-time remote position based out of Germany.
Technologies You’ll Use
Java, C++, Postgres, Temporal, gRPC
AWS, GCP, Azure, Kubernetes, Grafana
Iceberg, Polaris, Delta Lake, Parquet, DuckDB
What You’ll Do
Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands.
Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team.
Contribute to open-source projects such as DuckDB and Polaris.
Embrace Fivetran innovations with open-source standards and toolsets.
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance.
Set technical directions and influence cross-functional teams.
Skills We’re Looking For
6+ years of hands-on or research experience with high-performance relational data management systems.
Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements.
Proven track record of leading and delivering large and complicated projects.
Strong development skills in Java and C++.
Solid experience with public clouds (AWS, Azure, GCP).
Demonstrated knowledge of columnar storage formats.
Growth mindset and excitement about breaking the status quo by seeking innovative solutions.
Excellent team player who is consistent in making everyone around you better.
Bonus Skills
Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines.
#LI-IM1
#LI-REMOTE
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: Minsk; Warsaw; Tbilisi; Chișinău
Workplace: hybrid
We are looking for a Senior/Lead Java Software Engineer to join our team!
You will work with engineering teams across Europe and the USA on one of our flagship products – Net2Phone Cloud Contact Center, a rapidly growing cloud communications platform serving businesses worldwide.
At this position you will:
Take responsibility for the full software development lifecycle, from understanding business requirements through coding, deployment, and maintenance.
Collaborate with business stakeholders and actively participate in product planning and sprint backlog meetings.
Work on high-performing, scalable, resilient web-based applications and services.
Develop and maintain technical design, architecture, and troubleshooting documentation.
Demonstrate a technology-agnostic mindset and continuously explore new technologies and approaches.
We want you to have:
5+ years of production experience with Java.
Strong hands-on experience with
Java and Spring Framework
(Spring Boot, Spring Data).
Strong experience with
microservices architecture.
Experience with
CI/CD tools
such as GitHub Actions, Jenkins, ArgoCD, and Maven.
Proficiency with relational databases, particularly
MySQL
, including schema design, migrations, and query optimization.
Good English level – B2 or higher.
It would be a nice bonus:
Experience with
Google Cloud Platform (GCP).
Experience with MongoDB.
Experience with infrastructure-as-code and cloud provisioning tools such as CDKTF or AWS CDK.
We offer you:
Remote work as a B2B contractor or hybrid full-time employment in Belarus and Moldova.
Really good hardware.
An exciting and challenging job with talented people around.
Great learning and growth opportunities.
Compensation for professional training, seminars, and conferences.
First-class English lessons.
Additional benefits and perks for Minsk and Chisinau office employees.
A few words about us:
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
Net2Phone is a rapidly growing global provider of unified cloud communications solutions. It solves the problem of cost optimization for businesses in more than 50 countries, providing them with high-quality VoIP services. Net2Phone provides businesses with an integrated communications suite featuring powerful collaboration tools such as voice, messaging, chat, and unlimited domestic and international calling to 23+ countries.
The product was named ‘VoIP Supplier of the Year’ by the Telecom Consulting Group in 2018.
Location: Mapbox Germany
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 Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW and Zeekr.
We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons.
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
We are looking for smart, fast-learning engineers driven by the challenge of developing core components of the Mapbox navigation ecosystem. As a C++ Developer, you will:
- Build and maintain a unified C++17 library that runs seamlessly across iOS, Android, and low-power automotive embedded hardware.
- Analyze and improve map-matching and dead-reckoning algorithms using real-world data from millions of vehicles.
- Implement route-following features, including high-frequency route progress reporting, deviation detection, and timely instruction delivery.
- Work on road object matching (OpenLR) and live traffic incidents to give drivers a predictive "window" into the road ahead.
- Design predictive caching for routing tiles and manage complex on-board resources like junction views and signposts.
- Integrate and extend the Valhalla routing engine to support offline routing and route refresh controllers.
- Thoughtfully leverage AI tools in your design and development workflow to increase efficiency and code quality.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- Strong proficiency (min 7 years of experience) in C++17 (or later) with a deep understanding of the language specification, memory management, standard library, and multi-threading.
- A passion for writing clean, fast, and portable code that adheres to strict CPU and memory constraints.
- Experience working with complex graph-based structures, data structures, and spatial algorithms.
- Proven experience developing cross-platform code (Linux, mobile, or embedded systems).
- Strong English skills, with the ability to explain complex technical trade-offs to both peers and stakeholders.
Would be a Plus
- Familiarity with navigation concepts (dead reckoning, bearing, Electronic Horizon, or OpenLR).
- Experience working with IMU, OBD-II, or GNSS data.
- Background in computational geometry or safety-critical features (ADAS).
- Experience with or contribution to open source routing engines.
EMPLOYMENT REQUIREMENTS
- Employment Type: Full-time
- Weekly Hours: 40 h per week
- Location/Hybrid Policy: Remote (from any city in Germany)
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.
HOW WE SUPPORT YOU
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
- Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
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.
#LI-Remote
Location: Lisbon, Portugal
About the Role
As a Software Engineer on the Fund Accounting team, you'll have the opportunity to shape the platforms and systems that define how our operations run at scale. This is a full-stack, end-to-end engineering role where your contributions — from architecture decisions to shipped features — directly improve efficiency, automation, and accuracy across fund finance workflows used by industry-leading institutions.
You'll partner closely with Product Management through the full software development lifecycle, from requirements gathering to delivery, building solutions that solve real, high-stakes problems in a domain where precision and scale both matter.
On the technical side, you'll work primarily with Ruby on Rails on the backend and React on the frontend. We value strong engineering fundamentals — if you bring a solid technical foundation and the drive to build exceptional products, you'll have full support to ramp on our technologies through mentorship and hands-on experience.
Familiarity with finance and accounting concepts is a plus. Over time, domain knowledge becomes a meaningful force multiplier when your work is directly automating complex financial processes at the heart of the alternative investments industry.
Responsibilities:
Backend feature development using Ruby (3.3.x) and Rails (8.x)
Frontend application development using React and Redux
Development of unit and integration tests using RSpec, Cucumber, and Capybara
Building prototypes and proof-of-concepts (POCs)
Active participation in recurring team meetings and ceremonies
Participation in peer code reviews as part of our SDLC and change management processes
Qualifications:
Degree in Software Engineering or a related field is
6+ years of full-stack web application development
6+ years of development experience with React and Ruby on
Experience with frameworks such as Python / Elixir, PHP / Laravel or similar may compensate for less direct Ruby on Rails experience.
6+ years of HTML and CSS development
Strong understanding of relational database concepts, data modeling, normalization, and object-relational mapping (ORM).
Passion for learning and adopting new
Ability to work independently and collaboratively within a team environment.
Strong problem-solving and analytical thinking
Excellent communication
Collaborative approach to software
Proficiency in written and spoken English is required. Portuguese fluency is required for positions based in Portugal.
Prior experience in the financial industry, including asset and wealth management, hedge funds, or investment banking, will be valued.
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Liquidity Platform
The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity.
Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk.
About the Role
We are hiring software engineers across the Liquidity Platform’s engineering teams. You will design, build, and operate the systems that price, execute, monitor, and safeguard our liquidity-providing business 24/7. You will work closely with liquidity managers, product managers, and desk developers — developing strategies, services, and infrastructure using in-house toolkits — while growing capabilities in inventory and risk management, strategic problem solving, cross-functional collaboration, and effective communication.
These roles are open to Senior and Staff-level candidates; scope and title are calibrated based on experience and impact. Specializations span Delta One Systematic Trading, Cash OTC, Option Market Making, Trading Infra Service, Data Engineering and Risk & Analytics.
What You’ll Be Doing
Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations.
Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data.
Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems.
Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues.
Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture.
Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment.
Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations.
Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience.
Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production.
Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities.
What We Look For In You
STEM foundation:
Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous.
Experience:
Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems.
Languages:
Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability.
Systems:
Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior.
Connectivity & protocols:
Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization.
Data & messaging:
Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka.
Infrastructure:
Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure.
Markets:
Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk.
Mindset:
Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility.
Communication:
Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work.
Passion:
Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies.
Nice to Haves
Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions.
Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks.
Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE.
Frameworks and libraries such as Spring, Netty, and Vert.x.
Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow).
Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets.
Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work.
Risk and compliance experience; professional certifications such as CFA or FRM.
Technical Environment
Languages:
Java 17+, Rust, Python, C++
Protocols:
FIX 5.0+, WebSocket, HTTP/2, REST
Stack:
Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark
Infrastructure:
Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP
Team Specializations
The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following:
Delta One – Systematic Trading:
Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus.
Option Market Making:
Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues.
Cash OTC:
Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers.
Trading Infra Service:
Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity.
Data Engineering:
Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls.
Risk & Analytics:
Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Chicago
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.
DRW is looking for an outstanding
Senior Software Engineer
to join one of our trading desks. In this role, you will focus on designing, building, and implementing trading applications and tools. You will be an integral member of an algorithmic trading team comprising experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, from hardware and software development to devops, testing and release management. We are looking for talented programmers eager to develop new technologies that directly impact our business.
This role is for the
Chicago
office only.
Responsibilities:
Perform full life cycle development of applications and libraries for exchange gateways, trading strategy execution, risk management, trade reporting and market data feed processing using C++ or Rust
Develop and maintain systems to ensure application performance, integrity and reliability for maintaining maximal up-time, and logging and traceability to aid in the support of mission-critical production systems
Collaborate with quantitative researchers and traders on strategy development
Design, develop, and deploy software using agile methodologies
Guide junior engineers on best practices through mentoring, pair programming, and code reviews
Provide production support, maintenance and performance improvements of existing systems
Evaluate new technology and improve our technology stack
Requirements:
10+ years of experience developing high-availability server-side systems, preferably in C++ or Rust
3+ years of experience using any combination of the modern C++ (20/23/26) standards or Rust
A background in multi-threaded programming and a strong understanding of hardware/software interaction
Bachelor's degree in Computer Science, Engineering or related field, and strong practical knowledge of computer science, especially algorithms, data structures, distributed systems and concurrency.
Positive AI mentality and practical use of AI coding tools.
Strong verbal and written communication skills
Nice to haves:
Experience working in the trading industry or another latency-sensitive business that involves solving complex and novel problems
Experience with numerical computing and/or working with Quantitative Researchers
Experience with full life-cycle software development utilizing exotic hardware/software architectures
Detailed understanding of TCP, UDP, IPV4 and related hardware/software
Comfort with multiple programming languages, particularly including C++, Rust, Java, Python, JavaScript, Ruby
The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
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-VD1]
Location: New York City
Workplace: Hybrid
About Pinecone
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.
About the Team and Role:
Join a team that builds robust, real-time distributed systems for a cutting-edge database. We care about performance, reliability, scalability, and most of all learning and having fun together. Whether you’re a seasoned coder or just getting started, if you’re passionate about technology and eager to learn, you’ll fit right in.
Who we are:
- We show up to work, ready to collaborate and build technologies that make a difference, with people who genuinely care.
- We chase improvements such as tail latencies, bytes throughput, cache hit rate, and operational cost efficiency.
- We believe learning is ongoing and that even the most complex problems can have simple solutions.
What You’ll Do:
- Collaborate with teammates to design and build database features that power AI applications.
- Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you).
- Help Pinecone run smoothly on popular cloud providers.
- Take ownership of your work and grow your skills every day.
- Have fun.
Who You Are:
- 5+ years of work experience - programming in Rust, Go, C++, or a comparable language.
- You’re genuinely curious about distributed systems and eager to dive deep into technical challenges.
- You approach problems with creativity and persistence, and you’re comfortable asking thoughtful questions or seeking feedback.
- You’re excited to learn, value constructive feedback, and appreciate mentorship.
Bonus Points:
- You have hands-on experience with cloud platforms (AWS, GCP, Azure) or have demonstrated an ability to pick up new tools quickly.
- You’re comfortable thinking in async or multi-threaded environments, or can show you’re ready to learn.
- You’ve explored performance tools or have a track record of optimizing code for speed, reliability, or efficiency.
Perks & Benefits:
- Comprehensive health coverage (medical, dental, vision, and mental health resources)
- 401(k) plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual company retreat
- WFH equipment stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
TeamViewer's Frontline solution empowers frontline workers through workflow-based, real-time assistance on smart glasses, mobile phones, and tablets. Our platform connects the physical and digital worlds, combining 2D and 3D authoring tools to transform how industrial teams collaborate.
We are looking for an experienced and committed Full Stack Software Engineer with strong expertise across
React
and
Java Spring Boot
to help us develop the next generation of the Frontline platform. You will work across the full stack, delivering features end-to-end from UI to backend services.
Design, implement, and maintain frontend applications using
TypeScript
and
React
.
Design, implement, and maintain backend services and APIs using
Java
and
Spring Boot
.
Participate in architecture and application design to ensure reliability, scalability, and maintainability across the full stack.
Write clean, testable, and maintainable code using modern engineering and CI/CD practices.
Engage in peer reviews, pair programming, and technical discussions to continuously raise code quality and alignment.
Take ownership of your domain and deliver results with accountability and curiosity.
Explore and evaluate emerging technologies that can enhance the platform's capabilities.
Requirements
University or college degree in Computer Science, Software Engineering, or a related field.
3+ years of professional experience in full-stack software development, or proven senior-level expertise in designing and delivering complex software systems.
Strong expertise in
TypeScript
and
React
for frontend development.
Strong expertise in
Java
and
Spring Boot
for backend development, including frameworks such as Spring Data and Spring Security.
Solid understanding of
RESTful APIs
,
microservices
, and distributed system design.
Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate).
Experience with
CI/CD pipelines
,
Docker
, and container orchestration (e.g., Kubernetes).
Understanding of security and authentication standards (JWT, OAuth2, OpenAPI).
Fluency in English; other languages are a plus.
Nice to have
Experience working with message queue systems (e.g., NATS, Kafka, RabbitMQ).
Experience with public API design and developer-facing integrations.
Experience with
micro-frontend architectures
(e.g., Module Federation, single-spa).
Familiarity with
state management
libraries and patterns (e.g., Redux, Zustand, React Query).
Experience with component libraries and modern frontend tooling.
Familiarity with monitoring and observability tooling (e.g., Prometheus, Grafana, ELK).
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: San Francisco; Palo Alto; London; Seattle; New York City
Workplace: Hybrid
ABOUT THE ROLE
The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem.
This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity.
KEY RESPONSIBILITIES
- Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface.
- Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions.
- Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work.
- Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption.
- Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response.
- Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries.
- Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
- Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries.
- Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
- Deep expertise in at least one of the following:
- Connector runtimes, API platforms, or MCP servers, including authentication and authorization.
- Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context.
- Search, ranking, recommendation, or tool discovery systems.
- Marketplaces, developer platforms, or enterprise onboarding and activation experiences.
- Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows.
- Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed.
- A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
Location: San Francisco; Palo Alto; London; Seattle; New York City
Workplace: Hybrid
ABOUT THE ROLE
The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem.
This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity.
KEY RESPONSIBILITIES
- Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface.
- Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions.
- Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work.
- Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption.
- Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response.
- Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries.
- Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
- Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries.
- Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
- Deep expertise in at least one of the following:
- Connector runtimes, API platforms, or MCP servers, including authentication and authorization.
- Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context.
- Search, ranking, recommendation, or tool discovery systems.
- Marketplaces, developer platforms, or enterprise onboarding and activation experiences.
- Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows.
- Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed.
- A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software.
This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort.
This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping.
Key responsibilities
Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms
Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology
Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware
Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution
Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them
Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt
Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount
Minimum qualifications
8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team
Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization
Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems)
Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others
A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity
Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure
Strong written and verbal communication, and the ability to influence technical direction without formal authority
Preferred qualifications
Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale
Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows
Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware
Familiarity with Kubernetes-based development and job scheduling environments
Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid - Riyadh, Saudi Arabia
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We’re building the complete data stack for AI — exascale object store, table store, agent memory, and brain: every layer of how AI stores, retrieves, and thinks over data. Hard problems with no existing answers. Bring your own.
What you will do:
You’ll own problems end-to-end — the kind most engineering teams never get close to. No ticket queues, no standups, no permission. Just you, the codebase, and a team of people who care as much as you do. Everyone here is an IC, an architect, or a lead — most are all three.
Your Skills and Experience:
Deep OS internals. Networking from the socket layer up. Strong opinions on memory, concurrency, and correctness — and the humility to revise them. You’ve debugged something no one else could reproduce.You’ve read source code not because you had to, but because it was bothering you.
Key Competencies:
Fluent in ≥2 languages, honest about tradeoffs
You debug by understanding, not by guessing
Grit: you start hard things and finish them
Curiosity you genuinely can’t switch off
Low ego, extremely high standards
You write code the next engineer respects
Operating Systems, Networking, Systems Programming, Distributed Systems, Storage Engines, Vector/Graph Retrieval, Low -Latency I/O, and Protocol Design
MinIO Engineering Culture:
All leads, architects and ICs — no managers
Full ownership from day one, no permission
needed
Decisions made by the people doing the work
Craftsmanship is a first-class engineering
concern
No sprints. No standups. No Jira.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Please include a sample of your work. Examples could include a repo, write up, postmortem, We care more about the work you have done more than a resume. - Submissions without samples will not be considered
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Singapore
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
- Proficiency in Mandarin is required to support interactions with Mandarin speaking clients.
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE:
We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor.
This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical.
WHAT YOU’LL DO
- Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform
- Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation
- Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics
- Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why
- Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting
- Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production
WHAT WE’RE LOOKING FOR
- Strong backend engineering skills in Python, Go, or similar
- Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance)
- Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code
- Comfort working across the stack from frontend to backend
- Experience with observability and alerting in systems where failures have real operational consequences
- Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow
NICE TO HAVE
- Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context
- Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions
- Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language
- Experience integrating with third-party enterprise systems (WMS, ERP, or similar)
- Background in robotics or real-time systems where execution state and side-effects need to be managed carefully
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE:
We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy.
This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams.
WHAT YOU’LL DO:
- Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown
- Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories
- Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines
- Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset
- Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried
- Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection
- Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode
WE’RE LOOKING FOR:
- Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it
- Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines
- Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML
- Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing
- Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams
- Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue
NICE TO HAVE:
- Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes
- Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce
- Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows
- Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: India
SingleStore Software Engineers are at the forefront of real-time technology that’s revolutionizing how companies run their businesses everyday. With release cycles throughout the year, our engineers are accustomed to moving quickly in a rapid production environment. To do this successfully, we work collaboratively and creatively across teams to maximize our opportunity for impact. We also believe it’s important to celebrate our wins together whether it be at a local spot or getting out of the city for some exploring.
As a Software Engineer you will be empowered to own your projects end-to-end and be an active contributor throughout the product life cycle. To expedite your growth path, you will partner with engineers who deeply care about your success and will lend their expertise to your professional development. Our engineers are not just technical partners, but are also business partners who are exposed to all areas of the business, working with teams such as product, marketing, and sales.
Role and Responsibilities
Our Software Engineers work on small, collaborative teams to help drive our company forward. Whether you’re exploring cutting-edge technologies like LLM and vector index, improving the fault tolerance a SingleStore cluster, accelerating the performance of SQL queries with techniques like SIMD and LLVM codeGen, or writing search and costing modules for the query optimizer, our University Graduates are responsible for brand new and existing projects that are deployed into production with each release. Your work will include everything from writing to testing software, and you’ll gain a significant understanding of both the product and the business.
Required Skills and Experience
B.S. Degree in Computer Science, Electrical Engineering, Computer Engineering, or related discipline
Deep understanding of C.S. fundamentals, in particular operating systems, concurrency, multithreading, and server architectures
Strong programming skills with C++ or C
Passionate about building highly reliable software
Firm grasp of algorithms and data structures
SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
Req ID- ENG00416
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for an Embedded Software Developer to design and implement the firmware and low-level software that powers our next-generation GPU and HPC platforms. This role will focus on embedded control, board management, telemetry, and hardware-firmware integration, ensuring that our systems operate reliably in high-density, mission-critical environments.
Key Responsibilities
• Design and implement embedded firmware for server management, telemetry, and control systems.
• Maintain and enhance our custom OpenBMC firmware with new features and improvements
• Enable real-time monitoring of power, thermal sensors, and hardware health.
• Work closely with hardware engineers to validate firmware for existing and future platforms
• Debug and optimize low-level drivers and protocols.
• Contribute to long-term firmware architecture for GPU cluster reliability.
Required Skills & Qualifications:
• 5+ years in embedded systems or firmware development.
• Proficiency in embedded Linux.
• Hands-on experience with BMCs, microcontrollers, or SoC firmware.
• Understanding of hardware bring-up and debugging
• Languages: C, C++, Bash, Go, YAML
• Firmware: OpenBMC, U-Boot, Linux Kernel
• Interfaces: I2C, I3C, SPI, eSPI, UART, LPC
• Protocols: SMBus, PCIe, PMBus, PECI
• Build Systems: Meson, CMake
• Descriptors & Formats: FRU, SMBIOS, ACPI, DMI
Preferred:
• Knowledge of the Yocto Project principles
• Knowledge of systems and D-Bus principles
• Proficiency in C++
• Good knowledge of C, sufficient for periodic work with Linux drivers and the U-Boot bootloader;
• Experience in developing Linux drivers of any kind, especially those implementing sysfs and hwmon interfaces.
• Experience with server BMC firmware IPMI, IPMB, KCS, SSIF, Redfish, PLDM
• Knowledge of GPU/CPU telemetry frameworks (e.g., NVML, DCGM)
• Exposure to firmware security (Secure Boot, signed firmware)
• Experience with RAS (Reliability, Availability, Serviceability)
• Background in high-performance computing or data center hardware.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,500
—
$269,200 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
ГибридleadMinsk; Warsaw; Tbilisi; Chișinău
География найма не уточнена
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