At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview We’re looking for a Senior Frontend Engineer to help build and improve core product experiences at ClickUp. You’ll work closely with product, design, backend, and integrations teams to deliver high-impact features in a fast-moving environment. This role is ideal for someone who can move quickly, write high-quality code, and balance speed with long-term maintainability. What You’ll Do Build product features in Angular and React in partnership with designers, product managers, and engineers Architect efficient, reusable frontend code that powers the ClickUp user experience Collaborate closely with backend and integrations teams to deliver end-to-end features Work with QA to ensure strong test coverage and high product quality across edge cases Identify and resolve performance, scalability, and usability issues Build and maintain unit and integration tests Fix bugs quickly and deliver durable solutions to complex product challenges Follow established frontend architecture and state management patterns across the app Manage project priorities, deadlines, and deliverables in a fast-paced environment Qualifications 5+ years of experience with JavaScript and modern frontend frameworks, with Angular or React required Strong experience with TypeScript, RxJS, and NgRx or similar Redux-style state management Solid understanding of reusable component architecture and frontend performance Strong HTML/CSS fundamentals, including layout, accessibility, cross-browser compatibility, and maintainable styling practices Proven ability to move quickly, take ownership, and execute with urgency Strong communica
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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping cha
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities Find and diagnose quality issues in our search pipeline Design metrics from scratch to track and measure search quality Build datasets for model training, including LLM-as-a-judge labeling pipelines Improve search snippet quality and page selection algorithms for indexing Design and analyze A/B experiments to validate improvements Qualifications 4+ years of experience as a data analyst or in a related role Strong coding skills — expected to write production-grade code at a mid-level backend engineer level Proficiency with SQL and Python Demonstrated hands-on experience with at least one of the following: Designing metrics from scratch (not just analyzing existing A/B experiments) Building labeling pipelines using LLM-as-a-judge Training ML models that shipped to production with measurable metric improvements Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have Experience working on search-related products Knowledge of statistics and A/B experiment design Experience with Apache Spark or Databricks
EXPERIÊNCIA Solida experiencia de atuação na area ESCOLARIDADE Curso de graduação de nível superior em Administração (CBO 2521-05), Engenharia (CBO 214), Contabilidade (CBO 2522-10), Direito (CBO 2410), Economia (CBO 2512-05), Análise de Tecnologia da Informação (CBO 2124), ou Administrador de Tecnologia da Informação (CBO 2123) ou outras áreas correlatas à especialidade desde que validada pela gestão contratual da Petrobras. Conhecimento específico: Pós-Graduação com carga horária mínima de 360 horas de acordo com os subeixos de atuação, a ser definido . Backend Python 3.x avançado Django 4.x e Django REST Framework - experiência sólida PostgreSQL - otimização de queries e modelagem de dados Infraestrutura Linux (ambiente de desenvolvimento e produção) Git e fluxos de trabalho com branches Qualidade e Testes pytest e coverage para testes automatizados Code review e análise estática de código Certificação (no mínimo 1 delas): As certificações serão exigidas de acordo com a necessidade identificada CPC-A, CIA, SiAC, ISO9001 ou CertIFR ou Certificação PMI-ACP, CBPP, BPM ou Lean 6-Sigma (Black Belt) ou Certificação PMP ou PMI-ACP, Professional Scrum Master (PSM), Team Kanban Practitioner (TKP), Lean 6-Sigma (Black Belt) ou Ceritificação Oficial SAFe®. CONHECIMENTOS Desenvolver, manter e evoluir dashboards e painéis em Power BI, com foco em indicadores táticooperacionais, estratégicos e de gestão da rotina; Estruturar modelagem de dados, garantindo consistência, performance, governança e facilidade de manutenção; Criar e manter fluxos de automação no Power Automate, incluindo processos complexos com múltiplas etapas de aprovação, integrações com SharePoint, Teams e outras ferramentas corporativas; Desenvolver e evoluir aplicativos em Power Apps, observando boas práticas de arquitetura, versionamento, ambientes (DEV/TEST/PROD) e uso de Solutions; Atuar na sustentação e melhoria contínua de aplicações já exis
We are hiring builders to define how people talk to, show things to, and hear from AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps. As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents. Why Perplexity is Different Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. Ownership. You identify the problem, design the solution and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC. Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real produ
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s High‑Bandwidth Memory (HBM) Digital Design organization is seeking a Digital Physical Design Engineer to drive backend implementation of high‑performance, low‑power digital logic used in advanced memory products. This role spans backend implementation from Netlist to GDSII, with a strong focus on timing closure, power integrity, and manufacturability in advanced process technologies. The successful candidate will work closely with RTL, DFT, CAD, and verification teams to deliver high‑quality physical designs, contribute to methodology improvements, and help push performance, power, and area (PPA) targets in complex, multi‑hierarchy designs. Key Responsibilities: Own and execute physical design implementation from synthesized netlist through GDSII, including floorplanning, placement, clock tree synthesis, routing, and physical signoff Utilize AI-Enabled tools in the Netlist to GDS flow Perform and drive timing closure across multiple modes, corners, and scenarios using industry‑standard STA tools Analyze and resolve congestion, timing, IR drop, EM, and power integrity issues Develop and refine floorplans, power grids, and clocking strategies for high‑performance designs Work with placement and timing closure of custom analog hard IP macros in a digital-on-top design flow Collaborate closely with RTL designers to influence partitioning, constraints, and micro‑architecture decisions early in the design cycle Implement and va
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The recruiting team seeks to build the culture of Stripe by aligning the strongest global talent to our highest impact business needs. They focus on bringing Stripe’s operating principles to life in their recruiting processes, providing the highest-quality candidate experience, and leveraging data driven storytelling to influence the business. What you’ll do To further this important mission, we are looking for a consultative and creative recruiter to grow and scale our Frontend, Backend and Fullstack Engineering, Staff and Engineering Manager, and SpecTech teams across AMER. You’ll be a part of a collaborative team environment, partnering with a range of stakeholders to support the highest priority business needs across the Engineering organization. You can expect high impact and wide-ranging responsibilities: owning full-cycle recruiting, driving hiring strategy, and delivering best-in-class candidate experience. This person must be a builder who thrives in a learning environment—unafraid to try new things, embrace new ideas, and welcome suggestions for how we can iterate on our processes. Responsibilities Partner with multiple internal stakeholders with varying priorities to understand their hiring objectives and drive recruiting strategies to hit headcount goals Partner closely with recruiting analytics to ensure accurate reporting of hiring progress back to the business Build and drive cross-functional partnerships with compensation, hu
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly, while focusing on delighting our passengers and drivers. The Applied AI team is looking for a senior software Engineer to join the Recommendations team. You will build the backend systems that decide what we surface to riders. You will architect the pipelines and services that turn rider context and signals into the right offer at the right moment, driving a measurable impact on rider experience. Responsibilities: Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence Drive high-impact projects and innovate new solutions to deliver the best user experience Produce and drive scalable system design for large, complex features — from idea through execution and launch Mentor engineers on the team, providing technical guidance and supporting their growth Champion and evangelize the use of AI tools to accelerate engineering productivity across the team, sharing patterns and best practices that raise the bar for how the team builds Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and share knowledge across the team Participate in the team's on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms Excellent communication skills and the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or
The Senior Enterprise Engineer opportunity Statsig is building an Enterprise Engineering team for engineers who want unusually direct ownership of high-stakes customer outcomes. Like a Forward Deployed Engineering team, Enterprise Engineering works extremely close to customers and tackles the technical problems that matter most to them. The difference is the scope of ownership. Forward Deployed Engineering is often concentrated around implementation or onboarding; Enterprise Engineering is responsible for a customer’s technical success throughout the entire customer journey. You’ll stay close as needs evolve, answering questions, investigating across the stack, identifying root causes, shipping fixes and features, and remaining accountable through resolution. This is a software engineering role with a tight customer feedback loop. It is ideal for a pragmatic generalist, especially someone with backend or infrastructure depth who enjoys ambiguous problems, production systems, fast decisions, and immediate impact. What you’ll do Serve on the engineering front line in Unthread, our Slack aggregation and workflow layer, for key customer accounts. Answer technical questions by reading the code, tracing behavior, inspecting production signals, and building a clear explanation, not by forwarding the thread. Diagnose and fix bugs, then validate the outcome with the customer. Design and implement product or platform features when doing so is the fastest, highest-quality way to solve the customer’s problem. Act as the engineering point of contact for urgent issues in key customer accounts’ Slack channels, coordinating the response while retaining technical ownership. Represent engineering in customer office hours and, for selected accounts, recurring weekly meetings. Partner closely with customer-facing and product teams while maintaining crisp ownership, communication, and escalation paths. Identify recurring patterns and improve tooling, documentation, observability, APIs,
The HR Shared Services Compensation operations senior associate combines analytical rigour with a service-orientated mindset. They will be comfortable working in the details of HR systems and cases while also understanding the broader impact of compensation data and decisions on employees, managers, payroll, reporting, and business operations. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Key Responsibilities You will play a vital role in processing the backend transactions related to general compensation questions or tasks, along with making sure that the relevant SLA’s are met Review and process requests related to job architecture, job codes, career levels, compensation tiers, pay ranges, compa-ratio, salary positioning, bonus eligibility, and other compensation-related fields in the HRIS Pull ad hoc compensation reports, review data for accuracy and completeness, and help summarize basic findings for the compensation team and business partners Assist with program documentation, supporting records, data integrity, audit readiness, and compliance materials Partner with Compensation, HR Business Partners, Recruiting, Payroll, HRIS, Finance, and regional People Teams to investigate issues, resolve discrepancies, and coordinate end-to-end completion of transactions Adhere to and demonstrate high proficiency in agreed critical metrics & SLAs Create, maintain, and improve standard operating procedures, knowledge articles, checklists, process maps, and case-handling guidance for compensation processes Perform data validation, reconciliation, and quality-control checks across SuccessFactors, case-management tools, payroll inputs, compensation planning files, and downstream reporting systems Expected Skills Experience for 4+ years in HR Operations / Shared Services in an HR Shared Services role (EMEA and Americas) Strong Excel or spreadsheet skills, including data validation, lookups, filters, pivot tables, reconciliatio
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. AS A SENIOR SOFTWARE ENGINEER YOU WILL: Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend. Own and deliver features across the notebook service, container runtimes, and UI — designing and shipping medium-to-large projects independently, from ambiguous problem statements through production and post-launch. Advance core platform initiatives such as runtime management and patching, environment reproducibility and replication, security and compliance, and observability for notebooks. Extend the product to operate reliably in regulated and air-gapped environments, where security, compliance, and operational rigor are paramount. Promote strong collaboration within a cross-functional team and partner closely with embedded product managers and designers, as well as platform organizations across Snowflake Be a strong contributor to the product vision and drive team planning. Build for scale, reliability, and high performance, and participate in the on-call rotation to keep a Tier-1 production service healthy. Mentor, coach, and empower more junior team members, and raise the engineering bar through high-quality design and code review. OUR IDEAL CANDIDATE WILL HAVE: 7+ years o
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a highly experienced Backend Software Engineer with a strong Java background to join our Trading suite of products—including Rebalancing, Order Management System (OMS), and Investment Book of Record (IBOR). We’re building a scalable, tax-efficient trading & rebalancing platform for wealth management firms of all sizes. The platform will target sophisticated rebalancing strategies across equities, mutual funds and fixed income products and send trades to be completed in the market. You will play a significant role in driving complex, long-term technical designs from concept to delivery, ensuring our solutions are scalable, resilient, and secure. You will leverage your deep expertise in software design patterns and distributed systems to solve challenging problems and pioneer the adoption of new technologies. While you will educate and empower other engineers, this is fundamentally a hands-on technical leadership role where you will work closely with product and design teams to deliver exceptional products for our clients. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . What we’re looking for: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. We are looking for a passionate, inquisitive, and well-rounded Sr. Staff Backend Engineer to join the Pinterest Assistant team. The team is building a visual-first, AI-powered companion that helps Pinners go from inspiration to action across shopping, search, and discovery. As the technical leader for our backend p
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