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Location: Cyprus; Portugal; Spain; Latvia; Germany Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior PHP Engineer to join our dynamic team. As a Senior PHP Developer at Intetics, you will be responsible for developing, maintaining, and enhancing web applications using PHP and related technologies. You will work closely with cross-functional teams to deliver high-quality software solutions that meet client requirements and industry best practices. The client is a leading company specializing in advanced cybersecurity solutions. They provide comprehensive security measures designed to protect sensitive data and systems from cyber threats. Their offerings include vulnerability management, threat intelligence, incident response, and compliance management. With cutting-edge technology and a team of experts, they ensure robust protection for organizations across various industries, helping clients stay ahead of evolving cyber threats and maintain a secure digital environment. About the project: The only Risk-Based Vulnerability Management Platform purpose-built for the world’s most complex enterprises. Requirements Minimum of 5 years of professional experience in PHP development Excellent knowledge of DB Extensive experience working with large volumes of data Experience in writing complex and optimized SQL queries Excellent knowledge of modern versions of PHP Experience working with relational databases (SingleStore/MemSQL a bonus) Experience maintaining applications on Linux platforms in cloud environments Background following Agile/Scrum methodologies in a professional setting Demonstrated experience with technical troubleshooting Ability to work independently and with a team, including with a team across different time zones Would be a plus: Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM scanning, container, etc.) Experience working in cloud environments, ideally AWS Experience working with data analytics and/or data science Benefits Paid Time Off (36 paid days per year) Work From Home Training & Development Partial medical compensation

Location: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Build systems that power the #1 Health App for Women We’re not a startup guessing what might work anymore, we’re operating at serious scale. Flo is used by 1 in 4 women aged 18–44 in the US. And we just hit our biggest month ever with 8.6M installs and a 2.8M MAU jump. The engineering behind that? Complex, distributed, secure and yours to help shape. At Flo, backend engineering is core product work. We build: Data-driven health insights that genuinely change lives Distributed systems that stay fast, available and scalable under massive real-time demand Privacy-first features like Anonymous Mode -  recognised in TIME’s Best Inventions Tooling and platforms that help Flo’s teams move faster, with fewer bottlenecks We’re tech-agnostic when hiring for backend. If you’ve built and run distributed systems and want to work in Scala (or already do), great. We’ll support your ramp-up. What matters most: you can solve problems, own outcomes, and keep learning. Your Experience You’ll thrive here if you: Have 7+ years’ experience building distributed backend systems Know what it takes to make systems fast, reliable and secure and when to prioritise each Are fluent in Java, Scala, Python or similar (and curious enough to learn Scala with us) Get DevOps, databases (SQL and NoSQL) and love designing APIs that just work Have a strong handle on writing clean, documented, version-controlled code Take ownership, show initiative and don’t wait to be told Are product-minded and always thinking about the end-user impact Bonus if you’ve worked with: Stream processing Public cloud infrastructure (AWS, GCP etc.) What’s in it for you? You’ll join a senior engineering team that moves fast, thinks big and builds tech used by millions daily. You’ll work on meaningful problems with real impact - in health, privacy and scale. This isn’t just code for the sake of code. This is building the future of personalised health. #LI-Hybrid #LI-LM12 Salary Range - gross per month (ranges may vary based on skills and experience) €6.500 — €10.000 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Metn, Lebanon Staff Backend Engineer - L6 The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology drives everything we do. Our product teams build features that simplify customers' lives, while our engineers create scalable solutions and optimize internal processes to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Description As a Staff Backend Engineer, you will be responsible for shaping and delivering large-scale, cross-team systems and initiatives that significantly impact product reliability, performance, developer productivity, and business outcomes. You will mentor and grow multiple engineers, drive technical strategy within and across teams, resolve organization-level ambiguity, and proactively raise the bar for engineering excellence. You combine deep hands-on expertise with strong strategic thinking, owning complex domains end-to-end while influencing roadmaps, architecture standards, and team processes at a broader scale. Key Responsibilities Lead the design, architecture, and delivery of large, cross-system features, platforms, or infrastructure components that span multiple teams and quarters-long timelines. Drive technical and architectural decisions for entire domains or product areas, defining long-term strategy, surfacing major trade-offs, and aligning stakeholders across engineering, product, and operations. Own end-to-end system health: Establish observability, reliability practices, performance baselines, and incident response patterns that prevent recurring issues across services. Mentor and coach engineers, provide career guidance, technical pairing, code/design reviews. Identify and eliminate systemic bottlenecks in development velocity, testing, deployment, or onboarding; build shared tools, frameworks, patterns, or automation adopted team-wide or org-wide. Champion and evolve engineering standards, best practices, and conventions; influence adoption across multiple teams through clear reasoning, documentation, and leading by example. Increase engineering leverage by enabling other teams to move faster and more safely through better architecture, shared abstractions, technical guidance, and reusable patterns." Collaborate deeply with product, design, legal, and operations to challenge requirements, refine scopes, assess technical feasibility/risk, and ensure compliance (e.g., privacy, KYC). Lead architecture and design discussions at the team-of-teams level; write detailed specs, RFCs, and decision records that enable async alignment and reduce future rework. Act as a technical escalation point during major incidents, guiding resolution across domains and preventing recurrence through post-mortems and systemic fixes. Key Qualifications Bachelor's degree in Computer Science or equivalent practical experience. 8+ years of hands-on software engineering experience, in backend systems at scale (preferably including PHP/Laravel in high-traffic environments). Expert-level proficiency in backend development, OOP/SOLID/design patterns, microservices, event-driven architecture, and distributed systems principles. Proven track record designing and owning large-scale, performant, reliable backend systems (data modeling, complex schemas, PostgreSQL/MySQL optimization, Redis caching/queuing at scale). Deep experience with cloud infrastructure (AWS preferred), containerization, serverless, CI/CD pipelines, observability (monitoring, alerting, tracing), and incident management. Strong leadership & influence skills: mentoring multiple engineers, driving cross-team initiatives, resolving ambiguity at org level, and building consensus through clear communication. Excellent written & verbal English; ability to write precise technical documents, RFCs, and give constructive feedback across seniority levels. Demonstrated impact on business/product metrics through technical leadership (e.g., reduced latency, improved uptime, accelerated delivery velocity). Nice to Have Experience leading migrations, platform builds, or reliability programs in high-traffic e-commerce/delivery marketplaces. Familiarity with advanced scaling techniques (sharding, eventual consistency, CQRS, etc.). Prior work ensuring regulatory compliance (KYC, privacy, data protection) in collaboration with non-technical teams. Benefits Competitive compensation. Discounts on Toters orders. First-class medical insurance.

Location: London, UK 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 ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: £260,000 — £630,000 GBP 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: San Francisco, CA 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 ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $350,000 — $850,000 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: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? Do you enjoy the challenge of solving complex, non-deterministic problems with simple, pragmatic solutions? As a Staff Services Engineer for teamLFG, you will design and build the core services that take our game from prototype to production, from gathering requirements to implementation and scaling. Most importantly, you will work with a fun, dedicated, and passionate cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Build and maintain production-quality backend game services Collaborate daily with a cross-disciplinary team to design the core services for the game (including sessions, matchmaking, and player progression) Effectively write clear, concise, and accurate technical documentation and email communication, with the ability to summarize complex topics and achieve alignment across multiple teams Calmly deal with production incidents, participating in an on-call rotation after launch REQUIRED SKILLS Production experience designing and building backend game services Ability to communicate with customers of different technical and non-technical backgrounds to help them navigate technology and achieve their goals Ability to diagnose complex system failures using logging and metrics Ability to write, debug, and maintain code in Rust Embrace a “we” culture in addition to being an outstanding collaborator and communicator NICE-TO-HAVE SKILLS Experience with “games as a service” online game development Experience leading (direct management, mentoring, or guiding) engineers Ability to write, debug, and maintain code in C++ Working knowledge of Docker, Git, and Linux (including shell scripting and system configuration) At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $190,000 — $285,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Growth engineering builds the systems and applications that power every growth channel at Ramp. As an engineer on this team, you’ll own foundational problems ranging from high volume data ingestion and interfaces to customer-facing applications and AI-powered workflows. You’ll partner closely with product, data, and design, and work directly with stakeholders across growth, sales, and finance. This role offers high ownership, broad technical scope, and the opportunity to directly shape Ramp’s growth engine and scale Ramp to its next millions of users. Check out our Engineering Blog https://builders.ramp.com/ to learn more about our tech stack, mission, and values! WHAT YOU’LL DO - Build software that helps grow Ramp to its next millions of users - Build and scale internal platforms and applications (e.g. workflow orchestration, incentives, sales and marketing apps) that power growth across the company - Design and maintain data ingestion and activation pipelines across Ramp products, internal business systems, external systems, and third-party data - Apply AI/LLMs to unstructured data processing, automation, personalization, and growth signal derivation - Drive business outcomes through experiments and metric-driven software development - Make thoughtful prioritization and scoping decisions around when to build custom solutions vs. leverage third-party tools - Work in a fast-moving, collaborative engineering team alongside partners in product, data, and design WHAT YOU NEED - Minimum of 3 years of experience in a software development role - Experience shipping fast, reliable applications using modern development tools and infrastructure - Comfort operating in a fast-paced, constantly evolving startup environment - Ability to improvise and develop creative solutions when standard approaches fall short; strong bias toward pragmatism in the face of uncertainty - Perpetual curiosity and a passion for continuously improving your craft NICE-TO-HAVES - Startup experience as a technical co-founder or early engineer - Experience with the modern data stack (e.g. ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake) - Experience applying AI/LLMs in production environments - Strong perspective on the engineering development lifecycle (system design, documentation, testing, and long-term codebase health) - Experience building user-facing data or internal business applications - Familiarity with tools that power marketing and sales automation, personalization, and analytics BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: São Paulo, Brazil Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspirations Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? 4+ years’ experience as a software developer with .NET and Vue.js Experience developing in a cloud environment (Azure, GCP, AWS) Microservices/REST API skills Database experience Excellent communication, organizational, and leadership skills Upper-Intermediate+ English level Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 What's working at Dev.Pro like? Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋How we work 💻 LinkedIn Page 📈 Our website 💻IG Page

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal - Lead technical discovery and architecture sessions with prospective and existing customers - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible YOU MAY BE A FIT IF: - You have 3+ years of professional software engineering experience - You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes) - You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation) - You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in New York City, San Francisco, or Stockholm NICE-TO-HAVE: - Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of

Location: Philippines Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. As a company of professionals, Dev.Pro offers challenging and interesting projects with world-leading clients, a modern technology stack, and career opportunities for both technical and non-technical specialists. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspiration Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? 5+ years of experience developing software with C# and .NET Experience building backend services and REST APIs Experience with .NET Core / .NET 6+ or newer Strong experience with relational databases (SQL Server, PostgreSQL, MySQL, etc.) Experience working with cloud platforms (Azure, AWS, or GCP) Experience designing or developing microservices or distributed systems in production Understanding of application architecture and design patterns Strong understanding of object-oriented programming (OOP) principles Nice to Have Experience with message queues or event-driven systems (Kafka, RabbitMQ, Service Bus, etc.) Experience with Docker or containerized environments Experience with CI/CD pipelines Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 About Dev.Pro Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE The Render Security team is a small, dedicated team of engineers that runs all things security at Render. - Full-Stack Security Ownership - We don't just monitor; we build. From custom security tooling to comprehensive threat assessment, we own the entire security lifecycle at Render. - Engineering-First Approach - We are a team of engineers that understand security deeply, we create solutions that integrate seamlessly with development workflows rather than creating friction. - Proactive - We stay ahead of threats through continuous assessment, automated monitoring, and rapid response. By joining Render at an early stage, you will be directly involved with building out foundational security for Render and make decisions that will shape our product and company, directly impacting developers around the globe. YOU WILL: - Build internal tooling to enable secure access to resources (e.g., wrappers, utilities, authentication services, and proxies). - Implement detection and monitoring systems that alert the team to high signal vulnerabilities - Analyze and assess security issues identified through threat modeling, penetration testing, security scans and vulnerability disclosure. - Work with developers on sensitive code paths and educate them on secure design patterns. - Liaise with customers regarding their security and compliance needs, and in return, inform our security program. - Communicate security risks and solutions to technical and non-technical stakeholders as part of company-wide planning and prioritization processes. - Stay up-to-date with the latest security threats, vulnerabilities, and best practices and make recommendations for improvements to our security posture. - Partner with product engineering teams to inform and build thoughtful security features for our customers. - Continually ensure that our systems have appropriate authentication, authorization, and accounting with low internal overhead. WE'RE LOOKING FOR: - 6+ years of professional experience in software engineering or security. - Experience designing and building secure web applications, tools, and APIs. - Experience with vulnerability review and analysis - Strong incident leadership and diligent response. - Empathy toward the rest of the team and our customers - Strong sense of ownership and ability to make pragmatic decisions about your work. NICE-TO-HAVES: - Detection engineering experience through implementation and maintenance of a SIEM. - Experience with any of the technologies the Render product runs on: Go, Typescript, Kubernetes, Postgres, Terraform, Temporal. - Experience with compliance frameworks such as SOC 2, ISO 27001, HIPAA or PCI. - Proven expertise in exploiting common security vulnerabilities, demonstrating practical experience in identifying and leveraging vulnerabilities to assess security posture. - Experience securing applications and systems through threat modelling and risk assessments. - Active participation and contributions to the security community through public research, blogging, presentations, and other means. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco; Palo Alto; New York City Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Location: Amsterdam, Netherlands; Remote - Europe 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 team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role Ensure fault-tolerance, scale and uninterrupted operations for our services. Use cutting-edge technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have : Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. Strong analytical and problem-solving skills, with a focus on optimizing system performance. Working proficiency in English. It would be an added bonus if you had : Desire to be involved in backend development. Experience designing, developing and running high-load distributed systems. 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.

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring technical engineering manager to redefine the embedded Linux experience with the smallest, most secure, and most reliable operating system in the IoT market. This is an opportunity for a technical leader passionate about open source software, Linux, containers, security, and the developer experience, to shape the future of Linux from the smallest systems up to desktops. This challenging role demands a high degree of technical skill as well as high caliber for inspiring and driving people. Our mission is to allow everyone to build robust solutions in various fields including but not limited to IoT, automotive, and aviation using the next generation secure embedded Linux operating system in a simple solution. We define a reliable and secure set of device recovery mechanisms that enable device manufacturers to simplify and standardize the field operations for fleets of heterogeneous appliances. As an engineering manager, you’ll lead a team of strong software developers to design and implement Ubuntu Core system software on various CPU architectures, such as ARM, RISC-V, and X86.  You will meet stakeholders, prioritize requests, plan the roadmap and ensure the team can deliver their goals. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution. The role entails Building and leading a distributed team of engineers through hiring, coaching, mentoring, feedback and career development Demonstrating sound engineering principles by directly contributing toward your team’s goals Coaching and mentoring team members with hands-on career development Effectively setting and managing expectations with other engineering teams, senior management, and external stakeholders Advocating and advancing modern, agile software development practices and helping develop and evangelize great engineering and organizational practices Contributing to a healthy, collaborative engineering culture in line with the company values Actively participating in the leadership team and collaborating with other leaders in the organisation What we are looking for in you Demonstrated competencies in embedded software development Strong skills in Golang, C++ and Shell A solid understanding of Linux and a modern GNU/Linux distribution, Debian or Ubuntu preferred Love for developing and growing people and have a track record of doing it Demonstrated ability of planning and executing to deliver high quality software in a timely manner Solid experience working in an agile development environment Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Professional written and spoken English with excellent presentation skills Nice-to-have skills Familiarity with an immutable Linux distribution, preferably Ubuntu Core Experience with multiple CPU architectures such as ARM, RISC-V Experience with Linux native containerization and security What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-REMOTE

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Billing is mission-critical to Render’s success. As a Software Engineer, Billing you’ll design, implement, and maintain systems that ensure customers are billed accurately, reliably, and transparently as we scale. You will collaborate with Finance, Product, and Customer Experience teams to integrate third-party platforms, evolve our usage-based billing systems, and deliver the infrastructure that supports Render’s growing business model. This role requires technical depth, precision, and strong cross-functional collaboration. You’ll be the engineer others depend on to make sure usage data flows seamlessly, customers are charged correctly, and our systems are robust against complexity at scale. YOU WILL: - Build, operate, and improve Render’s usage-based billing systems. - Integrate with and maintain third-party billing systems (e.g., Orb, Metronome, or similar). - Collaborate closely with Finance, Product, and Support Engineering teams to ensure accurate, reliable billing and reporting. - Work with large-scale databases and data pipelines to capture, transform, and reconcile usage data. - Monitor, troubleshoot, and continuously improve billing reliability and performance. - Contribute to architectural decisions about how billing integrates with the broader Render platform. - Help shape internal processes, documentation, and best practices for billing operations. WE'RE LOOKING FOR: - 3+ years of professional experience building or operating usage-based billing systems. - Hands-on experience integrating and working with third-party billing systems such as Orb, Metronome, Stripe, or similar platforms. - Strong expertise in Go and production-grade databases (SQL or NoSQL). - Ability to work effectively across functions with Finance, Customer Experience, and Product teams. - Detail-oriented mindset with a strong sense of ownership and accountability in mission-critical systems. - Pragmatism and problem-solving skills to balance accuracy, scalability, and developer experience. NICE-TO-HAVES: - Experience working in a high-growth startup or scaling environment. - Familiarity with financial reconciliation and reporting processes. - Background in distributed systems or event-driven architectures. - Willingness to mentor others and help scale Render’s engineering culture. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a Senior DevOps Engineer at Incode, you will be the backbone of our cloud infrastructure. You'll architect and evolve scalable, cloud-native systems that power secure and seamless identity experiences, leveraging Kubernetes (AWS EKS), Terraform, and AWS. Your work will accelerate deployments, fortify monitoring and observability, and ensure reliability at global scale. Partnering closely with our developers, you'll transform complex challenges into resilient, automated solutions that keep our applications highly available and performant. You will be a key enabler of speed, trust, and innovation - driving how Incode builds, delivers, and scales AI-driven identity verification for the world. On-call, up front: the DevOps team does not carry 24/7 on-call. A separate SRE team owns incident response. What You’ll Own & Drive Cloud-Native Infrastructure - Design, implement, and maintain Kubernetes-based environments (AWS EKS) that deliver scalability, resilience, and security. Infrastructure as Code (IaC) - Implement and manage Terraform-driven automation to ensure consistency, repeatability, and reliability across all client deployments. Production Reliability - Troubleshoot and resolve issues in live environments, minimizing downtime and ensuring seamless customer experiences. Monitoring & Logging - Build and optimize observability solutions with Prometheus, Loki, ELK, or similar stacks, tailoring systems to business and performance needs. GitOps & Delivery - Work with ArgoCD-based GitOps workflows as part of the deployment pipeline, alongside GitHub Actions CI/CD. Engineering Standards - Contribute to and refine internal best practices, methodologies, and automation frameworks that elevate the DevOps culture. Continuous Innovation - Stay on top of AWS and DevOps advancements, introducing new tools and approaches that enhance speed, efficiency, and scalability. The Qualities That Set You Apart Cloud-Native Builder - You bring proven expertise in designing, deploying, and managing applications on Kubernetes, with a deep understanding of its architecture and core concepts. Infrastructure as Code Champion - You’re highly skilled with Terraform, driving automation and consistency across complex environments. Pipeline Innovator - You have hands-on experience implementing and optimizing CI/CD workflows using GitHub Actions, accelerating delivery while ensuring quality. AWS Practitioner - You possess a strong command of core AWS services (EC2, VPC, S3, IAM, etc.) and know how to leverage them for scalable, secure solutions. Observability Builder - You've personally configured, tuned, or debugged a self-hosted monitoring stack (Grafana with Prometheus or VictoriaMetrics), not just consumed dashboards someone else built. Systems & Networking Thinker - You understand networking fundamentals - TCP/IP, DNS, HTTP/S - and apply them to build reliable, high-performance systems. Clear Communicator - You excel at translating technical solutions into language that resonates with both technical peers and non-technical stakeholders. Your Background 6+ years of proven experience as a DevOps Engineer or in a similar role. Hands-on experience deploying and managing Kubernetes-based applications, ideally on AWS EKS. Strong expertise in Terraform and infrastructure automation. Experience designing and implementing CI/CD pipelines with GitHub Actions. Solid understanding of AWS services including EC2, VPC, S3, IAM, and related offerings. Knowledge of networking protocols and best practices (TCP/IP, DNS, HTTP/S). Hands-on ownership of a Prometheus or VictoriaMetrics-based observability stack, including performance and scaling issues. Strong written and verbal communication skills, with the ability to present technical solutions effectively. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Software Engineer, Trust & Safety, to design, build, and operate the large-scale, real-time distributed systems that stop abuse and fraud on the platform, including fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage. You will write the services, detection systems, and large language model (LLM) tooling that disrupt abuse at internet scale. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do: Design and build production services that detect and disrupt fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage Build detection systems that find abuse patterns across large datasets Ship LLM-driven systems for abuse detection, classification, and prevention, and build the datasets and evaluation pipelines that measure them Build and maintain internal tools for trust and safety workflows Analyze threat actor behavior to inform detection logic, and work with security, product, and infrastructure teams to move prototypes into stable production What you need: 5+ years of software engineering experience building large-scale, real-time distributed systems Wrote and shipped production code in JavaScript/TypeScript and Python, owning systems end to end from prototype through deployment and iteration Hands-on LLM experience, including prompt engineering, evaluation, and fine-tuning Operated production services on AWS Bonus if you: Shipped an AI-based trust and safety system to production Worked in abuse prevention, trust and safety, or security engineering Built or hosted a project on Vercel Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: India We are looking for a Technical Support Engineer II (TSE 2) to join our global Customer Support team. This role is ideal for someone with a strong technical foundation who is eager to grow into a subject matter expert. You will be responsible for troubleshooting complex customer issues, collaborating with engineering and product teams, and driving customer satisfaction through timely and effective solutions. As a TSE 2, you are expected to go beyond basic troubleshooting by performing in-depth analysis, mentoring junior engineers, and taking ownership of technical cases to closure. Key Responsibilities Serve as the primary technical contact for customers, managing support cases from initial intake through resolution. Troubleshoot, analyze, and resolve complex technical issues across product areas (networking, security, OS, applications, etc.). Reproduce customer issues in lab environments and document clear findings for Engineering escalation when required. Collaborate with Engineering, QA, and Product teams to drive bug fixes and product improvements. Mentor and assist TSE 1 engineers in case handling, best practices, and technical skill development. Ensure timely updates and clear communication with customers on case progress and action plans. Document solutions, troubleshooting steps, and knowledge base articles to enhance team efficiency. Participate in 24x7 on-call rotations, weekend shifts, or critical incident response as needed. Contribute to process improvements and best practices to improve customer experience. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent hands-on experience). 3–5 years of experience in Technical Support, System Administration, or a related role. Strong troubleshooting skills in at least two of the following areas: Operating Systems: Windows, Linux/Unix Networking: TCP/IP, DNS, VPN, Firewalls, Routing Security Technologies: SIEM, IDS/IPS, endpoint security, SSL/TLS, PKI Databases/Applications: SQL, log analysis, application troubleshooting Familiarity with virtualization platforms (VMware, Hyper-V, or similar) and cloud technologies (AWS, Azure, GCP). Excellent problem-solving, analytical, and communication skills. Ability to handle high-pressure situations with professionalism and empathy. Preferred Qualifications Certifications such as CCNA, RHCSA, CEH, Security+, or equivalent. Experience with enterprise security products, SIEM tools, or incident response. Prior experience working with global customers in a 24x7 support environment. Ability to script or automate tasks (Python, PowerShell, Bash, etc.) is a plus. What We Offer Opportunity to work with cutting-edge security technologies and enterprise customers. Collaborative, diverse, and fast-paced work environment. Professional growth with learning and certification opportunities. Competitive compensation and benefits package.