Вакансии

Location: Remote Portugal, Portugal; Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. Join Our Team as an AI-native Staff Backend Engineer!  Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Portugal. Are you someone who is craving scalable problems and dealing with optimizations? You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been! You will play a key role in enabling our organisation to scale efficiently. Who we are looking for: You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty. You practice context engineering, not just prompt engineering;  you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access. You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration. Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability. You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment. Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed. Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives. Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases. Big-picture thinker: aligns technical decisions with business strategy, influences without authority. Clear communicator in English across engineering, product, and leadership audiences. Self-starter who identifies what needs doing and takes initiative without waiting to be asked. Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise. What you will be doing: Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code. Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints) Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on. Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories. Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined. Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe. Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut. Our Hiring Process: Recruiter Interview Managemnent Capabilities System Design Live Coding Our Benefits Permanent contract Salary + annual bonus up to 20% of your annual gross salary Work with and impact all OLX websites around the world Train and conference budget, and free access to Udemy courses Health insurance and life insurance MacBook Pro or a Windows Dell, along with the necessary accessories to make your work comfortable 100% remote work (and the possibility to work from our office in Lisboa) If you think this is the role for you, send your application in English and let’s talk! If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Staff Software Engineer on our Data & Analytics Platform Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. About the job We are seeking an experienced Staff Engineer to join our Data Substrate team. In this role, you will be responsible for architecting scalable and reliable data solutions, collaborating closely with cross-functional partners driving technical innovation, and mentoring a team of talented engineers. The ideal candidate will have deep expertise in data systems, strong leadership skills, and a proven track record of delivering complex data projects at scale. Responsibilities In this role, you’ll: Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies. Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices. Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning. Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions. Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 8+ years of experience in software development, or a related field. Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems. Experience designing, building, and operating large-scale systems using AWS technologies. Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail. Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats. Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams. Strong leadership skills, with a track record of mentoring and developing junior engineers. Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines. Desired Contributions to OSS projects is a bonus Familiarity with data modeling, data warehousing, and ETL processes is a plus. Location This role will be remote, and based in the United States. This role will be remote but is not eligible to be hired in CA, WA, NY, NJ, PA or CT. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120.00 to $213,900.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200.00 to $226,500.00 Based in the San Francisco Bay area, California: $201,280.00 to $251,600.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.. Applications for this role are intended to be accepted until 8/28/2026, but may change based on business needs. The estimated pay ranges for this role are as follows: $171,120.00 to $213,900.00 Applications for this role are intended to be accepted until 8/6/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco; Remote (United States); London; Belgrade; New York City Workplace: Hybrid Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions

Location: San Francisco; Remote (United States); London; Belgrade; New York City Workplace: Hybrid Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions

Location: Paris; New York; US (EST); US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION Remote (Europe only, from GMT to GMT+2 to ensure sufficient overlap with the rest of the team). HOW WE WORK We move fast on hard problems in a nascent market with no set playbook: navigating uncertainty is part of the job. You'll be challenged: anyone can question work and decisions must be justified. We keep a high bar and match it with high support: we help each other unblock and share context openly, with low ego. More about our values: morpho.org/jobs http://morpho.org/jobs. ROLE The mission of this role is to build and own the backend systems that power Morpho's consumer-facing products: reliable, performant APIs and data pipelines that serve accurate financial data to users at scale. RESPONSIBILITIES - Develop backend features using TypeScript and Node to deliver clear product outcomes for the Morpho Consumer team. - Design and evolve APIs (REST, GraphQL, …) and data models to expose accurate, secure financial data to the frontend with sub-second response times. - Operate and improve PostgreSQL-backed data pipelines to ensure performance, reliability, and availability as transaction volumes grow. - Collaborate closely with frontend engineers and product to scope, ship, and iterate on end-to-end features across the Consumer product. - Identify and implement architecture improvements: improving data processing, caching, and API layer design to simplify systems and reduce operational burden. - Monitor, troubleshoot, and resolve production issues to maintain a high-quality user experience. - Write clear, concise documentation and async updates to keep stakeholders aligned across time zones. WHAT SUCCESS LOOKS LIKE FIRST 30 DAYS Ramped up on the Consumer API, codebase, and delivery practices. Shipped the first meaningful feature safely to production. Established clear async communication habits and collaboration rhythms with product and frontend peers. FIRST 4 MONTHS Owns delivery of scoped features end-to-end. Identifying and starting to implement architecture improvements to the API and data processing layer. Contributing to higher reliability through better observability, testing, and incident response. IN 1 YEAR The go-to engineer for the Consumer API, with deep functional and technical context. Consistently delivering high-impact features and taking full ownership of architecture decisions within the Consumer vertical. MUST-HAVE EXPERIENCE & SKILLS - 8-10+ years of backend development experience in production TypeScript/Node environments. - Hands-on experience with REST APIs and relational databases, especially PostgreSQL. - Experience working on a backend-for-frontend stack, or collaborating closely with frontend teams to serve product data. - Track record operating production systems at scale: reliability, observability, and performance under real load. - Strong interest in the Web3 ecosystem and comfort learning the DeFi domain. - Comfort operating in fast-changing, ambiguous environments where priorities shift. - Strong ownership and autonomy: takes responsibility for outcomes end-to-end. - Clear and crisp async communication: writes well and keeps distributed teams aligned. - Team-first mindset, low ego. - Humble. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Paris; New York; US (EST) Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION Paris or remote (from -5h GMT up to +2h GMT to ensure sufficient overlap with the rest of the team). HOW WE WORK We move fast on hard problems in a nascent market with no set playbook: navigating uncertainty is part of the job. You'll be challenged: anyone can question work and decisions must be justified. We keep a high bar and match it with high support: we help each other unblock and share context openly, with low ego. More about our values: morpho.org/jobs http://morpho.org/jobs. ROLE The mission of this role is to own the technical architecture and end-to-end delivery of Morpho's product suite, spanning React frontends, GraphQL APIs, and on-chain data systems, ensuring the platform scales reliably as Morpho grows beyond $10B in TVL, while actively raising the technical bar across the engineering team. RESPONSIBILITIES - Architect and own end-to-end delivery of DeFi products with billions in TVL, from React/Next.js frontends through GraphQL/REST APIs to blockchain data indexers, ensuring sub-second response times for users. - Design and implement the API and SDK strategy enabling hundreds of integrators to build on Morpho's infrastructure, including versioning patterns, developer experience standards, and real-time streaming systems. - Build and optimize high-performance data systems processing millions of on-chain events across 15+ blockchains, using intelligent caching and query optimization to maintain reliability at scale. - Lead technical architecture reviews and establish coding standards that raise the technical capability of 5-10 engineers across product teams. - Own observability and incident response across the stack, using OpenTelemetry, Grafana, and Sentry to ensure reliability for users and integrators. WHAT SUCCESS LOOKS LIKE FIRST 30 DAYS Shipped a high-impact feature end-to-end that demonstrates competency across the full stack. Completed an architecture review of current systems and proposed a modernization roadmap. Built working relationships with key stakeholders across product, protocol, and business teams. FIRST 4 MONTHS Leading delivery of a major product initiative from scoping to production. Driving measurable improvements to API p95 latency through caching, query optimization, and architectural changes. IN 1 YEAR Owns technical architecture for an entire product vertical, with proven reliability and performance metrics. Recognized as the technical authority for fullstack architecture decisions across the organization. MUST-HAVE EXPERIENCE & SKILLS - 8-10+ years building fullstack applications at scale, with demonstrated impact on business metrics. - Proven track record architecting high-availability systems handling millions of requests daily. - Deep TypeScript expertise across client and server: React/Next.js, GraphQL (Apollo Server), Node.js, and typed contract interactions (viem). - Hands-on experience building or maintaining on-chain data indexers (Ponder, Subsquid, or similar) and working knowledge of EVM event structures. - Track record of leading technical initiatives across multiple teams without direct authority. - Comfort operating in fast-changing, ambiguous environments without needing a defined playbook. - Strong ownership mindset: you drive things to completion and don't wait to be asked. - Clear, crisp async communication: you write well and can explain complex technical decisions simply. - Team-first approach: you make the engineers around you better, not just the codebase. - Humble. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform. Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions. Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience. Shape Reddit’s approach to an enterprise-grade RAG system Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform. Own the end-to-end platform strategy from concept through production adoption and long-term evolution. Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management. Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems. Partner across engineering, product, and leadership to align platform investments with company priorities and user needs. Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience. Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy. Who You Might Be: 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale. Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes. Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments. Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc. Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle. Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $292,500 — $409,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Poland; Portugal; Ireland; Germany Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for Staff Product Engineers that can solve our hardest technical problems, both individually and through technical leadership. You’ll design and build software that creates delightful, groundbreaking user experiences. You’ll play a key role in growing the talent in our engineering organization through mentoring, coaching and hiring, and you’ll resolve our most tricky product issues through an understanding of what’s important to our users and business. WHAT YOU'LL DO - Provide technical leadership for a critical part of Attio’s engineering organization. You’ll work across teams to design significant parts of our infrastructure, aligning with Attio’s overall technical strategy. You’ll hold a high bar for the output of the teams you work with, ensuring that Attio executes both quickly and with quality. - Raise the bar on how we build and operate software. You’ll be part of a technical leadership group that sets standards for how we build and operate software at Attio, ensuring that we strive to build robust and maintainable systems that are reliable, scalable and secure. - Grow our engineering talent. You’ll mentor and coach the engineers you work with, and help ensure we hire the best talent for Attio. You’ll share your knowledge and growth mindset with the team, and be open to new approaches and experiments as software engineering evolves in the age of AI. - Deliver for the business. You’ll always look to optimize for Attio’s business, ensuring that we make the right trade-offs between delivery and perfection. You’ll strive to understand our customers and users so you can deliver the experiences which are uniquely valuable to them. WHAT YOU'LL BRING - First-class technical skills. First and foremost, you’ll be an excellent technical executor, with an ability to think in systems, not just crank out code. You’ll understand the world of distributed, cloud-native systems, and intuitively create the right interfaces to allow teams to innovate in parallel. - Proven technical leadership credentials. You’ll have a track record of not just personal execution, but of delivering projects through others. You’ll be able to break down large, complex problems into smaller, independent goals that others can own. You’ll understand how technical architecture impacts ability to deliver, and to maintain systems for the long term, and be sensitive to the need to pick the right compromise. - A growth mindset. Software engineering is changing rapidly in the age of AI, and you’ll understand the need to be open-minded and to experiment. You’ll be keen to teach, and to learn from the experience of others. You’ll relish the challenge of working in an area that’s new to you, and enjoy the discomfort that leads to personal growth. - A passion for growing the skills of others. As you deliver projects through your technical leadership, you’ll be keen to grow the next generation of technical leaders. You’ll have demonstrated impact through mentoring and coaching, and be able to flex your style depending on the needs of your colleagues. You’ll also be passionate about hiring the right talent for Attio. - A focus on the product and customer. You’ll have strong opinions on what makes a great product, and a keen desire to deliver the things which generate value for Attio’s customers. You’ll be curious to learn about how our product is used in the field, and have an understanding of how to use data to ensure we’re building the right thing. WHAT WE OFFER - Competitive salary 150,000 EUR to 180,000 EUR - Equity in an early-stage tech company on an incredible trajectory - Apple hardware - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) - Location specific benefits   nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland

Location: London Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for Staff Product Engineers that can solve our hardest technical problems, both individually and through technical leadership. You’ll design and build software that creates delightful, groundbreaking user experiences. You’ll play a key role in growing the talent in our engineering organization through mentoring, coaching and hiring, and you’ll resolve our most tricky product issues through an understanding of what’s important to our users and business. WHAT YOU'LL DO - Provide technical leadership for a critical part of Attio’s engineering organization. You’ll work across teams to design significant parts of our infrastructure, aligning with Attio’s overall technical strategy. You’ll hold a high bar for the output of the teams you work with, ensuring that Attio executes both quickly and with quality. - Raise the bar on how we build and operate software. You’ll be part of a technical leadership group that sets standards for how we build and operate software at Attio, ensuring that we strive to build robust and maintainable systems that are reliable, scalable and secure. - Grow our engineering talent. You’ll mentor and coach the engineers you work with, and help ensure we hire the best talent for Attio. You’ll share your knowledge and growth mindset with the team, and be open to new approaches and experiments as software engineering evolves in the age of AI. - Deliver for the business. You’ll always look to optimize for Attio’s business, ensuring that we make the right trade-offs between delivery and perfection. You’ll strive to understand our customers and users so you can deliver the experiences which are uniquely valuable to them. WHAT YOU'LL BRING - First-class technical skills. First and foremost, you’ll be an excellent technical executor, with an ability to think in systems, not just crank out code. You’ll understand the world of distributed, cloud-native systems, and intuitively create the right interfaces to allow teams to innovate in parallel. - Proven technical leadership credentials. You’ll have a track record of not just personal execution, but of delivering projects through others. You’ll be able to break down large, complex problems into smaller, independent goals that others can own. You’ll understand how technical architecture impacts ability to deliver, and to maintain systems for the long term, and be sensitive to the need to pick the right compromise. - A growth mindset. Software engineering is changing rapidly in the age of AI, and you’ll understand the need to be open-minded and to experiment. You’ll be keen to teach, and to learn from the experience of others. You’ll relish the challenge of working in an area that’s new to you, and enjoy the discomfort that leads to personal growth. - A passion for growing the skills of others. As you deliver projects through your technical leadership, you’ll be keen to grow the next generation of technical leaders. You’ll have demonstrated impact through mentoring and coaching, and be able to flex your style depending on the needs of your colleagues. You’ll also be passionate about hiring the right talent for Attio. - A focus on the product and customer. You’ll have strong opinions on what makes a great product, and a keen desire to deliver the things which generate value for Attio’s customers. You’ll be curious to learn about how our product is used in the field, and have an understanding of how to use data to ensure we’re building the right thing. WHAT WE OFFER - Competitive salary : £135K- 170K - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - [In the UK] Private medical insurance through AXA - [In the UK] Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: Amsterdam, Netherlands; London, United Kingdom 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical; designing systems capable of handling tens of gigabytes per second across continuously evolving datasets. In this position, your responsibility will be to: Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current Ensure reliability and predictability of pipelines under high-throughput conditions Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals You may be a good fit if you: 8+ years of experience building production backend or data infrastructure systems Strong Go experience (C++/Rust is a plus) Experience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.) Experience building or operating databases, storage systems, data planes, or indexing pipelines Strong understanding of distributed systems, fault tolerance, consistency, and scalability Experience running production systems and handling operational incidents Systems-thinking mindset and ability to reason about end-to-end data flows Strong candidates may also have experience with: Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam Content systems including, scraping, proxying, or anti-bot infrastructure Ad tech, social networks, or other large-scale content platforms DBMS internals (open source or SaaS) and cloud infrastructure Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation (ICPC, IOI, or similar) SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. 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: Lagos, Nigeria At Renmoney, we are building a leading microfinance bank in one of the most dynamic markets globally. As we continue to scale, we are looking for a Chief of Staff to the CEO - a high-impact, strategic operator who will work side-by-side with the CEO on the company’s most critical priorities. What you will do Act as a trusted partner to the CEO , driving strategic priorities and ensuring effective execution across the business Lead high-impact, cross-functional projects end-to-end — from problem structuring to implementation Operate as an internal engagement manager , bringing structure, clarity, and momentum to complex initiatives Prepare and deliver executive-level materials , including board presentations, strategy papers, and decision memos Represent the CEO in internal and external forums when needed, ensuring alignment and clear communication Drive follow-ups and accountability across leadership to ensure decisions are translated into action Identify and solve ambiguous problems across product, operations, and growth Requirements What we are looking for 5+ years of experience in a top-tier consulting or related firms (e.g. McKinsey & Company, Boston Consulting Group, or equivalent) Strong track record of leading workstreams or acting as an Engagement Manager / Project Leader Exceptional problem-solving and structured thinking skills Ability to operate in high-ambiguity, fast-paced environments Strong communication skills, with experience presenting to senior stakeholders High level of ownership, discretion, and judgment Genuine interest in fintech and emerging markets Benefits Work directly with the CEO on the company’s most critical challenges Gain exposure across all major functions — from product to risk to growth Shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary and performance bonus Comprehensive health insurance, 25+ paid vacations and day-offs, personal development plan Thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Product team at Harvey, you'll play a critical role in designing and building new backend systems while equally scaling and strengthening our existing infrastructure. Our backend infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant backend infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership - Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence NICE TO HAVE - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Data Scientist (Senior Staff, Staff, & Senior roles available) About the company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. We are hiring a Data Scientists to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Data Scientist will: Help develop KoBold’s proprietary software exploration tools. Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Qualifications A great Data Scientist candidate will have: Technical skills, including extensive experience with: Python’s data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. Cloud computing resources. Building predictive models, applying them to different problems, and evaluating and interpreting the results. Data from a variety of physical systems. Geospatial analyses and visualizations. Technical knowledge: Broad skills in and knowledge of applied statistics and Bayesian inference Substantial understanding of machine learning algorithms Training and work experience: An advanced degree in the physical sciences, engineering, computer science, or mathematics. A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer. Experience leading technical teams to apply novel scientific approaches to core business problems Work practices and motivation: Ability to take ownership and responsibility of large projects. Ability to explain technical problems to and collaborate on solutions with domain experts. Communicates well on a collaborative, cross-functional team. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Ability to independently prioritize multiple tasks effectively. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. It is also helpful but not required to have experience with: Creating machine learning models on geospatial data Geostatistics Image processing or computer vision Distributed computing applications for machine learning and other computations What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt. The US base salary range for this full-time exempt position is $140,00 - $240,000 (USD) plus equity and benefits. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: Remote Data Scientist (Senior Staff, Staff, & Senior roles available) About the company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. We are hiring a Data Scientists to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Data Scientist will: Help develop KoBold’s proprietary software exploration tools. Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Qualifications A great Data Scientist candidate will have: Technical skills, including extensive experience with: Python’s data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. Cloud computing resources. Building predictive models, applying them to different problems, and evaluating and interpreting the results. Data from a variety of physical systems. Geospatial analyses and visualizations. Technical knowledge: Broad skills in and knowledge of applied statistics and Bayesian inference Substantial understanding of machine learning algorithms Training and work experience: An advanced degree in the physical sciences, engineering, computer science, or mathematics. A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer. Experience leading technical teams to apply novel scientific approaches to core business problems Work practices and motivation: Ability to take ownership and responsibility of large projects. Ability to explain technical problems to and collaborate on solutions with domain experts. Communicates well on a collaborative, cross-functional team. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Ability to independently prioritize multiple tasks effectively. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. It is also helpful but not required to have experience with: Creating machine learning models on geospatial data Geostatistics Image processing or computer vision Distributed computing applications for machine learning and other computations What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt. The US base salary range for this full-time exempt position is $140,00 - $240,000 (USD) plus equity and benefits. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: Hong Kong, Hong Kong SAR Who we are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The AI Engineering team is responsible for integrating different AI models with different business lines. You'll need to understand how these models function in diverse domains and develop efficient integration solutions. This team is building the company's crawler platform, supporting multiple areas such as Compliance, Trading, Financial Products, and Business Intelligence. What You’ll Be Doing Understand different AI models’ feature Understand different business domains’ feature Provide integration solutions for AI models into the business domain Maintain systems’ high availability and high throughput Improve technology best practices and code reviews for peers Build and maintain various AI infrastructure / platform What We Look For In You Bachelors in Science / Technology / Engineering / Mathematics Experience in AI Agent / RAG engineering solutions Experience in Microservices / API development with Java/SpringBoot/SpringCloud/Python/Langchain Knowledgeable in multi-threading and distributed architecture. Understanding of mainstream messaging frameworks including Kafka etc. Knowledge of different databases including vector DB Nice To Have Experience with AI models Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: Relevance & recommendation systems (content, search, notifications) AI-powered discovery & LLM-driven experiences Content and user understanding & large-scale representation learning Large-scale ML infrastructure and pipelines What You’ll Do Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities Drive measurable impact on user engagement, discovery, and long-term value Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making Required Qualifications 7+ years of experience building, deploying, and operating machine learning systems in production Deep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc) Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions Track record of driving measurable impact through applied machine learning in real-world products Preferred Qualifications Subject matter expertise in one of the following domains: Recommender systems Search systems (lexical and semantic retrieval and ranking) Content understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs or clustering, and multimodal understanding) Familiarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Experience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Strong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Home Experience ML Understanding Feed Relevance Answer Experience Search and Answers Relevance Search Experience Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.