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Location: Montreal, Canada; United States; United Kingdom The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Role: As part of the System Engineering Department, the Phased Array antenna lead Engineer will lead, and coordinate the work needed for the definition, development and execution of the Phased Array designs, and the preparations, implementation, testing and verification of the of such sub-systems. Tasks: The Phased array antenna engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Generate and maintain the requirements of the Antenna sub-system and lower level associated to the sub-system units. Perform requirements management activities, e.g. tracing parent and child requirements, requirements justification, etc. Lead the development of design architecture and sub-system level performance budgets Lead a cross-disciplinary team to converge on a design architecture that meets the mission requirements. Generate and maintain verification matrices and detailed test requirements. Develop and maintain build matrices to identify and track all product development hardware. Develop the Assembly, Integration and Test Plan. Support test activities starting from the planning phase through to production. Review unit level & system level test data, evaluate non-compliances. Support efforts on automated data post-processing/management. Must haves Bachelor's degree in electrical engineering or equivalent At least 10 years of experience Previous experience with active antenna system designs, beam forming, antenna parameters. Experience with Antenna testing, and facilities associated to radiated tests Experience in concepts of space and/or ground segment design antenna applications, specification and integration methodologies. Knowledge in Matlab & Simulink and other simulation tools Complementary skills/knowledge Requirements Management tools such as DOORS/Windchill/Jama Previous experience in Space programs Experience creating or using models and/or simulation software. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Montreal, Canada; United States; United Kingdom The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Role: As part of the System Engineering Department, the Phased Array antenna Engineer will participate, and coordinate the work needed for the definition, development and execution of the Phased Array designs, and the preparations, implementation, testing and verification of the of such sub-systems. Tasks: The Phased array antenna engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Generate and maintain the requirements of the Antenna sub-system and lower level associated to the sub-system units. Perform requirements management activities, e.g. tracing parent and child requirements, requirements justification, etc. Support the development of design architecture and sub-system level performance budgets Support a cross-disciplinary team to converge on a design architecture that meets the mission requirements. Generate and maintain verification matrices and detailed test requirements. Develop and maintain build matrices to identify and track all product development hardware. Develop the Assembly, Integration and Test Plan. Support test activities starting from the planning phase through to production. Review unit level & system level test data, evaluate non-compliances. Support efforts on automated data post-processing/management. Must haves Bachelor’s degree in Electrical engineering or equivalent At least 5 years of experience Previous experience with active antenna system designs, beam forming, antenna parameters. Experience with Antenna testing, and facilities associated to radiated tests Experience in concepts of space and/or ground segment design antenna applications, specification and integration methodologies. Knowledge in Matlab & Simulink and other simulation tools Complementary skills/knowledge Requirements Management tools such as DOORS/Windchill/Jama Previous experience in Space programs Experience creating or using models and/or simulation software. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Beograd, Serbia Workplace: remote Novakid is an online English platform for kids — 100,000+ students, 2,500+ teachers, 15+ countries. Live classes run around the clock across time zones, which sets the technical bar: low latency, high availability, and a backend that holds up at real scale. We’ve built a working platform. The next chapter is making deliberate architectural choices about how it should evolve. The role We’re hiring a Principal Backend Engineer to take ownership of backend architecture as a hands-on technical leader. No direct reports. About half your time is in the code — reference implementations, critical components, refactors. The other half is the harder work: deciding what to build, what to buy, what to defer, and why. Our backend today is a Python core (FastAPI, SQLAlchemy, Celery, Postgres, Redis), surrounded by services and event-driven flows, with a growing AI layer. It runs primarily on AWS, with GCP for data and AI workloads. There are real architectural questions to answer: how to evolve the monolith, how to set service boundaries, how to design for geo-distribution as we grow, and how to integrate AI without accumulating debt. We’re looking for someone who treats those questions seriously — researches before deciding, thinks in tradeoffs, writes things down. What you’ll work on Backend architecture standards and major technical decisions across teams The path from monolith toward a more modular, service-oriented backend Service blueprints: API conventions, EDA patterns, testing, observability, deployment Cloud architecture across AWS (primary) and GCP, including multi-region and geo-distributed designs High-load, real-time systems: live class infrastructure, latency budgets, caching, capacity Buy vs. build vs. assemble — knowing when a managed service, a no-code tool (Retool, n8n), or an agentic-coding POC (Claude Code, Cursor) is the right call, and when it isn’t Production code: components, refactors, POCs, and selected product-critical features What we’re looking for 7+ years of backend engineering, deeply hands-on in Python Production experience with FastAPI, SQLAlchemy, Celery, Postgres, Redis Strong AWS architecture experience (EKS, Lambda, RDS, SQS/SNS/EventBridge, and so on); working knowledge of GCP a plus Experience designing high-load, latency-sensitive, and geo-distributed systems Pragmatic judgment on buy vs. build vs. assemble — managed services, no-code, and agentic tooling as first-class options, not shortcuts A deliberate working style: you research, weigh tradeoffs, document decisions, and explain them clearly to engineers and non-engineers alike Nice to have LLM integrations in production (OpenAI, Anthropic, Google AI) — evaluation, cost, reliability Active use of agentic coding tools (Claude Code, Cursor) as part of how you ship EdTech or other high-scale consumer platforms Stack Python · FastAPI · SQLAlchemy · Celery · Postgres · Redis · Kubernetes (EKS, GKE) · AWS · GCP · SQS/SNS/EventBridge · Pub/Sub · OpenAI · Anthropic · Google AI What we  offer… Fully remote work (core hours GMT+3). A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together.

Location: United States What The Role Is As a Senior Engineer at Babylist, you take on hard problems and own them end-to-end. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll start on a team, but you won't be boxed into it. The roadmap is open, your scope grows as you do and you have a say in what you take on next. Senior here means owning whole problems; Staff is the next step up, setting direction across a domain. What You'll Own A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. You act on incomplete information and change course fast when the evidence says you were wrong. What you do depends on what the team needs: Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built. Harden a critical path, kill a class of incidents or design the abstraction your team builds on. Be the reviewer people want on the risky changes. Manage up with crisp choices: raise the risks early and protect the right tradeoffs. Share what you're learning about AI openly, so the whole team gets sharper. A few problems people at this level are working on right now: Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps. Building the evals system that catches our AI support agent making things up before a customer does. Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it. Who You Are You've been shipping production systems for years, and you've got the judgment to show for it. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. When it's hard you dig in, and you learn unfamiliar parts of the stack fast. Range is the Senior signature. Compensation We post real numbers. For a US-based Senior Engineer, the starting base salary range is $202,200 to $251,700, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $232,530 to $289,455. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks, start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address.

Location: South Africa; Philippines; Colombia; Mexico; Argentina; Brazil About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a Senior SEO Specialist with deep expertise in technical SEO, content strategy, and performance analytics. This role is ideal for someone who thrives in a fast-paced, results-driven environment and has a proven track record of increasing organic traffic, improving keyword rankings, and driving revenue through search. You will take full ownership of SEO strategy and execution, working closely with content, development, and marketing teams to deliver measurable growth. Key Responsibilities Develop and execute comprehensive SEO strategies to increase organic visibility and traffic Conduct advanced keyword research aligned with business goals and search intent Lead on-page and technical SEO optimizations (site structure, indexing, Core Web Vitals, etc.) Perform detailed SEO audits and implement actionable improvements Collaborate with content teams to create high-ranking, SEO-optimized content Manage backlink strategies and authority-building campaigns Monitor performance using tools like Google Analytics, Search Console, Ahrefs, or SEMrush Analyze competitors and identify growth opportunities in SERPs Stay updated with algorithm changes and industry trends Provide regular reporting and insights to stakeholders Requirements 4+ years of experience in SEO, preferably in SaaS, eCommerce, or digital agencies Proven success in improving rankings, organic traffic, and conversions Strong technical SEO knowledge (site audits, schema markup, crawling/indexing) Experience with SEO tools (Ahrefs, SEMrush, Screaming Frog, Google Search Console) Solid understanding of HTML, CSS, and website architecture Experience working with CMS platforms (WordPress, Webflow, Shopify, etc.) Data-driven mindset with strong analytical skills Excellent communication and collaboration abilities Experience managing or mentoring junior SEO team members is a plus Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: United Kingdom; Philippines; North Macedonia; Georgia; Albania; Serbia About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled Automation Engineer with strong n8n experience to design, build, and maintain workflow automations that streamline business processes. This is a fully remote opportunity ideal for someone passionate about low-code/no-code automation, API integrations, and system optimization. Key Responsibilities Design and implement automated workflows using n8n to optimize business operations Integrate third-party tools (CRMs, marketing platforms, databases, APIs) into seamless workflows Develop and maintain custom nodes or scripts when required Monitor, troubleshoot, and improve existing automations for performance and reliability Collaborate with cross-functional teams (sales, marketing, ops) to identify automation opportunities Document processes, workflows, and system architecture Ensure data integrity, security, and scalability across automation systems Requirements Proven experience as an Automation Engineer, Workflow Engineer, or similar role Strong hands-on experience with n8n (required) Solid understanding of APIs, webhooks, and RESTful services Experience with tools like Zapier, Make (Integromat), or similar is a plus Basic scripting knowledge (JavaScript, Python, or Node.js preferred) Familiarity with CRMs (HubSpot, Salesforce), databases, and SaaS tools Strong problem-solving skills and attention to detail Excellent communication skills for remote collaboration Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Sr. Software Engineer to join our team! What You'll Do: You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will help improve durability, increase throughput, and drive architectural changes to support the long term requirements of our service. The Right Fit: 7+ years of OOP (Java, Rust, C++, C#, etc)  in an enterprise environment (personal project work not included) Experience building large scale software systems running on thousands of servers Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Applies analytical thinking to ambiguous problems Bonus points for: Proficiency in Java or Rust Experience building and interpreting models, dashboards, or reports Familiarity with hard drive performance Understanding of Linux internals and file systems At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: London, NewYork Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We are seeking an experienced Head of Market Data Development and Engineering to lead the development, delivery, acquisition, governance, and optimization of market data for both digital and traditional assets across the firm. This role sits at the intersection of trading and technology ensuring high-quality, cost-effective, performant, and compliant data services that power trading, research, and risk systems. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Market Data Strategy & Architecture Define and execute a unified market data strategy across centralized crypto exchanges (CEX), decentralized venues (DEX), and traditional markets Design scalable, low-latency data architecture supporting tick-level, order book, and on-chain data Evaluate build vs. buy decisions for internal data platforms vs. external providers Development Manager and hands on Development Lead a small team of developers and be hands on yourself Design and build a Market Data API to front all data sources including custom feedhandlers, vendor platforms, Kdb+, and DataBricks Manage the Market data messaging bus used by all internal applications in the firm Crypto Market Data & Vendor Management Build relationships with crypto exchanges (e.g., Binance, Coinbase, Deribit, OKX), data aggregators, and node providers Assist our vendor management team with commercial negotiations, licensing, and exchange agreements across both crypto and traditional markets Data Quality, Normalization & Coverage Ensure high-quality, normalized datasets across fragmented crypto venues (symbol mapping, schema standardization, latency benchmarking) Oversee ingestion of real-time order book data, trades, reference data, funding rates, and on-chain metrics Establish monitoring and alerting frameworks for data integrity and completeness Cost Management & Optimization Manage and optimize the global market data budget across crypto and traditional vendors Identify cost-saving opportunities through vendor consolidation, direct exchange connectivity, and internal data solutions Implement usage tracking and chargeback models where appropriate Infrastructure Partnership Partner with infrastructure teams to build the pipes necessary to bring in market data Support hybrid environments (on-prem + cloud) and ensure resilience, redundancy, and scalability Enable data access for research, backtesting, and production trading systems Regulatory & Compliance Oversight Ensure compliance with exchange licensing, redistribution rules, and evolving crypto regulatory frameworks Implement entitlement controls, audit trails, and governance policies across all data usage Stakeholder Collaboration Work closely with trading, quant research, risk, and portfolio management teams to deliver data solutions Support onboarding of new exchanges, instruments (perpetuals, options), and strategies Act as the firm’s subject matter expert on both crypto and cross-asset market data Leadership & Team Development Build and lead a high-performing development team Establish best practices for market data onboarding, validation, and lifecycle management Foster a culture of innovation, automation, and operational excellence Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 10+ years of experience in custom development of real time market data platforms within a trading firm, hedge fund, or financial institution Knowledge of key market data vendors, exchanges, and licensing models Strong understanding of trading workflows, asset classes (equities, futures, options, FX, fixed income), and data types (real-time, reference, historical) Experience with low-latency data systems, market data feeds, APIs, and streaming technologies Strong analytical and problem-solving skills with attention to detail Excellent communication skills, with the ability to engage both technical and business stakeholders Bonus Points: Familiarity with on-chain data, blockchain nodes, and crypto data providers What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Bosnia and Herzegovina; Serbia; Georgia; Romania; Hungary; Croatia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a skilled and proactive Full Stack Enginee r to join a high-performing remote team. In this role, you’ll be responsible for designing, developing, and maintaining scalable web applications across both frontend and backend systems. This is an exciting opportunity for engineers who enjoy working on impactful products, collaborating cross-functionally, and owning features end-to-end. Key Responsibilities Develop and maintain responsive, high-performance web applications (frontend + backend) Collaborate with product managers, designers, and engineers to deliver new features Build and integrate APIs, services, and third-party tools Optimize applications for scalability, speed, and security Write clean, maintainable, and well-documented code Troubleshoot, debug, and upgrade existing systems Participate in code reviews and contribute to engineering best practices Stay up-to-date with emerging technologies and frameworks Requirements 3+ years of experience in full stack development Strong proficiency in JavaScript/TypeScript and modern frameworks (e.g., React, Next.js, Node.js) Experience with backend technologies (e.g., Express, Python, Ruby, or Java) Solid understanding of RESTful APIs and database systems (SQL/NoSQL) Familiarity with cloud platforms (AWS, GCP, or Azure) Experience with version control systems like Git Strong problem-solving skills and attention to detail Excellent communication skills and ability to work in a remote environment Nice-to-Have Experience with DevOps practices (CI/CD pipelines, Docker, Kubernetes) Exposure to microservices architecture Knowledge of testing frameworks (Jest, Cypress, etc.) Previous experience working in SaaS or startup environments Benefits 💰 Competitive salary based on experience and seniority 🌎 Fully remote role with flexible work environment 🚀 Work with innovative global companies in high-growth industries 📈 Long-term career growth and upskilling opportunities 🎯 Ownership of impactful projects and real product influence 🤝 Collaborative, international team culture

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. About the Role We are seeking an Application Security Engineer to improve application security across the software used to enable Backblaze B2 Cloud Storage and Computer Backup. The primary role is to build security into how the product is used, how data is stored and how customers can use it. This role will require development skills and application security knowledge to build security into the product and new features. Leveraging AI is key. This is a hands-on role that requires application development knowledge. This role is expected to know and use the latest AI to help with both development and security. The primary requirements include; development in common web languages, application security and AI tool usage. Leverage AI tools and software for Building new and maintaining existing software security features Meeting evolving software security needs in existing software Developing new components as needed Perform security assessments and code reviews on internal and external customer-facing applications Work closely with engineers to remediate security vulnerabilities using AI tools Develop security automation and tooling to improve security Support bug bounty program and vulnerability handling Investigate newly reported vulnerabilities Determine ways to remediate them Provide guidance to engineering based on known vulnerabilities found in existing applications Understanding cryptography and secure authentication Knowledge of cloud environments and security they provide Support and develop on large software stack using Apache Tomcat running across a large number of servers JavaServer Pages (JSP) containing older features Node/JavaScript developed features and pages An architecture split among many different servers – supporting browsers and custom client software Strong security knowledge across large software stacks running on multiple servers Ability to reach out and learn about technologies or implementations as necessary The Right Fit: Application Development and Security knowledge AI knowledge and experience using it for development & security Understanding of: AI Frameworks and tooling, core web security, common web security flaws, coding agents Strong understanding of OWASP Top 10 vulnerabilities Experience with security testing tools such as: SAST / DAST scanners Fuzzing tools Vulnerability scanners Familiar with web technologies: HTTP, REST APIs, etc. Experience with Web Applications, Cloud Systems and Linux Environments Determining how new and old security needs can leverage AI workflows and integrations to improve them AI Coding tools such as Gemini, Claude Code, ChatGPT, Cursor or others Experience with programming languages such as: Java, JSP, JavaScript, TypeScript, Go, Python and C/C++ Why Backblaze Build secure software used by companies worldwide Work at the intersection of AI, data, and cloud storage Collaborate with experienced engineering, security, product, and QA teams Competitive compensation and benefits Remote-first culture supporting work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice . #LATAM

Location: Riyadh, Saudi Arabia Müller’s Solutions is seeking a Senior Splunk Expert to lead the design, implementation, and management of Splunk solutions across our enterprise. In this role, you will be responsible for creating advanced data ingestion, search, and dashboard strategies to deliver actionable insights from complex datasets. You will collaborate with various teams to enhance our monitoring capabilities, improve security posture, and support data-driven decision-making. Key Responsibilities: Design, develop, and maintain Splunk infrastructure including indexers, search heads, and forwarders. Create and optimize Splunk queries, dashboards, and reports to support business and operational needs. Integrate data sources and ensure data quality and consistency within Splunk. Implement and manage Splunk apps and add-ons to extend functionality. Monitor Splunk environment health and perform troubleshooting and performance tuning. Collaborate with security teams to implement Splunk for security information and event management (SIEM). Develop automation scripts to streamline Splunk administration and data ingestion processes. Provide training and support to end-users and other team members. Stay current with Splunk updates, features, and best practices. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience working with Splunk in an enterprise environment. Strong knowledge of Splunk architecture and components. Proficiency in advanced Splunk Search Processing Language (SPL) and dashboard creation. Experience integrating various data sources and managing large data volumes. Experience with Splunk Enterprise Security and IT Service Intelligence is a plus. Familiarity with scripting languages such as Python or Bash for automation. Excellent analytical and problem-solving skills. Strong communication skills and ability to collaborate across teams. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Cairo, Egypt; New Delhi, India; Riyadh, Saudi Arabia; Bucharest, Romania; Dubai, United Arab Emirates Müller's Solutions is looking for a skilled ServiceNow SPM (Strategic Portfolio Management) Architect to join our team. In this role, you will be responsible for designing and implementing strategic portfolio management solutions using the ServiceNow platform to help organizations align their portfolios with business objectives and drive better decision-making. Your expertise will contribute to the optimization of project, program, and portfolio management processes, ensuring effective resource utilization and improved business outcomes. Key Responsibilities: Lead the design and implementation of ServiceNow SPM solutions aligned with enterprise strategy and governance. Collaborate with stakeholders to gather requirements and translate them into effective architectural designs for SPM modules including demand management, project portfolio management, resource management, and financial planning. Develop and enforce best practices and governance frameworks for effective portfolio oversight. Integrate SPM solutions with other ServiceNow modules and external systems to provide end-to-end visibility and reporting. Drive automation of workflows to improve process efficiency and data accuracy. Provide technical leadership and mentoring to development teams and project managers. Ensure solutions meet compliance, security, and scalability standards. Stay updated on ServiceNow SPM capabilities and industry trends to recommend continuous improvements. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field. At least 5 years of experience working with ServiceNow platform, with a focus on Strategic Portfolio Management (SPM). Strong understanding of portfolio, program, and project management methodologies and best practices. Experience in designing and delivering ServiceNow SPM solutions including demand, resource, and financial management. Proficiency with ServiceNow architecture principles, configuration, and integration techniques. Effective communication skills, capable of working with business stakeholders and technical teams. Demonstrated problem-solving skills and the ability to manage multiple priorities in a dynamic environment. ServiceNow certifications relevant to SPM or ITOM are highly desirable. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Europe; United States Workplace: Remote ABOUT CANTINA Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next. ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for TTS and adjacent tasks (voice cloning, controllable TTS, voice conversion and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Project Leadership: Independently lead small research projects while collaborating on larger team initiatives. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - GPU Scaling: Partner with infrastructure to run distributed training/inference on cloud fleets and productionize models with reliability and observability. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology. WHAT YOU’LL BRING: - Exceptional research/development experience with large scale audio models (>3B models and >500k hours data). - Exceptional understanding and hands-on experience with transformer architectures and/or diffusion models (inc. distillation and streaming) and/or audio language modelling. - Strong experience with multi-node and multi-gpu distributed model training. - Strong software engineering skills with a proven track record of building complex systems - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production quality code. - Shipped large scale speech/audio models to production. - Background in working with large-scale ML data. - Ability to iterate on data,, and triangulate quality using subjective and objective signals. - Notable publications and/or open source contributions in speech/audio/ML. - Experience with voice-cloning, speech-control, voice-generation. PREFERRED EXPERIENCE: - Shipped large scale speech/audio models (TTS/VC/ASR) to production. - Work on large-scale ML systems. - Experience with audio language modelling, transformer architectures. - Experience with voice-cloning, speech-control, voice-generation. - Background in processing large-scale ML data. - Publications or notable open-source in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: New York, NY; Austin, TX; San Francisco, CA Workplace: Hybrid ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines. You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it. YOU WILL: - Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. - Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience. - Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build. - Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem. - Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation. WHAT WE ARE LOOKING FOR: - AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph. - Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production. - Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously. - Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications. - Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture. Nice to Haves: - Expertise with LangSmith for evaluation and monitoring. - Experience building or maintaining open-source projects. - A background in technical consulting, solutions engineering, or high-growth GTM teams. Compensation: - We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. - Salary: $160K - $180K Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - A sharp design sense and the ability to turn complex product ideas into fluid, intuitive interfaces. - Curiosity for the newest AI-driven UX patterns, frameworks, and tools. - Resilience and focus in a high-intensity startup environment. - A drive to explore and adopt new frontend frameworks and AI-assisted dev tools. WHAT YOU WILL WORK ON - Build the core interfaces of Higgsfield products — from rapid prototypes to production-ready UIs used by millions of people every day - Turn pixel-perfect designs from Figma into fast, dynamic interfaces where every detail works as well as it looks - Design and optimize complex UI systems, including timelines, editors, and interfaces with large volumes of video and media - Develop a scalable frontend architecture and evolve our design system and component library - Make the interface максимально fast and responsive: minimal bundle size, instant loading, and smooth interactions - Ensure product quality through unit, integration, and end-to-end tests for key user scenarios YOUR MUST HAVES - Experience building complex software and teaming up with others to get it done - Strong communication, collaboration, and commitment to completing projects - Advanced expertise in Typescript, React, NextJS, CSS - Responsive, cross-browser layout & design systems - Experience optimizing media storage, caching, and delivery performance - Experience working with Cloud: Vercel, AWS, Cloudflare - Knowledge of CI/CD, bundlers, profiling, performance optimization - Willingness to work in a fast-paced startup environment. THE DEAL - Top-of-market compensation in USD. - Meaningful stock options with significant upside. - Small team, high autonomy, and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: San Francisco, CA | 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 research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before. Note: This role may require responding to incidents on short-notice, including on weekends. Responsibilities Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution You May Be a Good Fit If You Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Are excited to redefine what technical program management looks like at the frontier of AI research 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: $365,000 — $435,000 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. 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: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. WHAT YOU’LL DO - Take ownership of complex backend systems end-to-end - from scoping and architecture to high-quality, reliable delivery - Design and build robust, scalable APIs and distributed systems that power our products and deliver exceptional performance - Collaborate closely with Product, Frontend, and Design teams to translate product ideas into well-architected backend solutions - Push the boundaries of what’s possible with modern backend technologies, driving innovation in both architecture and developer experience - Contribute to evolving our backend architecture, infrastructure, and developer tooling to support rapid iteration at scale - Proactively identify opportunities to improve system performance, reliability, and developer experience - and drive those initiatives through to execution WHAT WE’RE LOOKING FOR - 5+ years of professional backend engineering experience, ideally in fast-paced startup or high-growth environments - Deep expertise in Python and FastAPI, with a proven track record of building and scaling production systems - Experience designing and implementing APIs (REST, GraphQL, or gRPC) that power user-facing products - Strong experience working with SQL databases (e.g. PostgreSQL), including schema design, query optimization, and data modeling for production systems - Familiarity with cloud-native architectures, ideally on GCP (e.g. Cloud Functions, Cloud Tasks, Firestore) - Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code - Familiarity with Vertex AI and ML specific infrastructure - Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness TECH STACK - Languages: Python, TypeScript - Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - You’ve personally built and scaled a system (e.g. side project, startup, open-source) that handled significant traffic or complexity, and learned real lessons from it - Background working on AI products or data-heavy applications - Academic background in Computer Science or a related technical field - Experience in starting a company or working at a top-tier high-growth startup WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Come join the Hierarchy Squad to build and optimize a set of tier 1 services that are at the core of ClickUp’s all-in-one productivity platform! Hierarchy owns the ClickUp filesystem that is at foundation of everything we build. We are searching for passionate engineers with exceptional critical thinking skills and technical prowess to help maintain, develop and scale high throughput services to support the company through accelerated growth. The ideal candidate will find the idea of architecting distributed systems that are reliable and highly performant exciting, has a knack for debugging and writing complex code and is excited by the challenge of building and maintaining a platform that every team in the company integrates with. Our key technologies include Typescript, Postgres, Kafka, NestJS running on Amazon Web Services. If this sounds interesting to you, we'd love to have you join our team!   Responsibilities:   - Develop and maintain robust, scalable backend systems using Node.js (Express and NestJS). - Collaborate with engineers, designers, and product managers to drive projects forward. - Tune and optimize database queries for maximum efficiency and performance. - Optimize and improve existing code for better performance and user experience. - Troubleshoot and debug issues, ensuring smooth operations. - Share your knowledge and expertise to foster a culture of learning and growth.   Requirements:   - 8+ years of professional experience building backend services for SaaS products. - Proven track record of building and scaling backend systems. - Expertise in relational database query optimizations (prefer PostgreSQL). - Extensive background working with databases (SQL and NoSQL) and data modeling. - Strong understanding of RESTful API design and implementation. - Experience with agile development methodologies (Scrum, Kanban, etc.). - Familiarity with version control systems like Git. - Excellent problem-solving skills and a passion for tackling challenges. - Strong communication skills, as collaboration is key to our success. - Experience with microservices architecture and containerization (Docker, Kubernetes).   Preferred Qualifications:   - Familiarity with frontend technologies (Angular, React, Vue). - Professional experience with NodeJs, Express, and NestJS   What We Offer:   - Competitive salary and benefits package. - Remote work options. - A supportive, dynamic, and fast-paced work environment. - The opportunity to make a meaningful impact on a rapidly growing company. - Opportunities for personal and professional growth.   #LI-REMOTE Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.