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Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior Software Engineer, AI Evaluation Infrastructure We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day. This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone. What you will do Design and ship features end to end: data model, API, background workers, and the UI when the change needs it. Build and improve how agents and models are evaluated: running trials in sandboxed environments, scoring results, and turning thousands of runs into results people can trust. Improve how benchmark tasks are quality-checked: verifiers, rubric-based and LLM-as-a-judge grading, and deciding whether a task is clear, solvable, and fair to score. Integrate new models, agents, and benchmarks in a way that generalizes, without a special case for each one. Keep the system fast and reliable as usage grows: efficient queries, safe migrations, and concurrency that holds up under load. Review teammates’ pull requests against our engineering guidelines and help keep the codebase consistent. What you bring 5+ years building and operating production backend systems, with ownership of at least one service from design through on-call. Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field. Strong Python and experience with Django (or a similar framework), PostgreSQL, and a task queue such as Celery. What matters most is having run a real system, not knowing a particular framework. Hands-on experience in LLM evaluation, beyond calling a model API. You understand how a benchmark task is built, how an agent trial is scored, and how results are aggregated and compared. Experience with Harbor, Terminal-Bench, SWE-bench, Inspect, or a similar harness is a strong plus. Judgment about task quality. You can spot ambiguous instructions, weak or gameable verifiers, leaked answers, and checks that pass for the wrong reason. Good tradeoffs. You reach for the smallest design that solves the problem, extend what already exists before adding something new, and can explain what you chose not to build. Ownership. You take a fuzzy request, find the relevant code, ask questions only when the answer changes the design, and finish the job, including migrations, tests, and edge cases users will hit. Quick adoption of team conventions. You read the written guidelines and your first pull requests already match them in naming, structure, tests, and error handling. Comfort with a TypeScript and React frontend when a change is visible there. You don’t need to be a frontend specialist. Clear writing. Your pull request descriptions and design notes explain why, not just what. Nice to have Experience running agents in sandboxed or containerized environments (Docker, Kubernetes, or cloud sandboxes such as Modal or Daytona). Experience with LLM-as-a-judge or rubric-based grading, and with reducing judge bias and noise. Familiarity with coding agents such as Claude Code, Codex, or OpenHands, and with MCP. Experience with distributed job scheduling, concurrency limits, or database locking at scale. Contributions to open-source evaluation or infrastructure projects. How we work Written engineering guidelines, applied consistently, with the same review bar for everyone. Business logic lives in services. Hot paths stay cheap. Lint and tests pass before a pull request is ready. The same vocabulary in the code, the API, and the UI. We prefer deleting code to adding it, and simple designs to clever ones. A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide. Compensation: $170,000 - $200,000 Base Salary + Equity #LI-VC1 Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

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 . Senior Forward Deployed Engineer (AI Enablement) As a Forward Deployed Engineer, you will turn AI capabilities into practical solutions that improve how Reddit works across business and technical functions like Sales, Marketing, Business Development, and Finance. You will identify valuable business problems and own the engineering from discovery through production launch and adoption, with measurable impact on quality, speed, capacity, and cost. This is an opportunity to build close to the people who use your work. Working with internal business teams and the AI Platform team, you will challenge existing workflows, make product and technical decisions, and ship AI applications, agents, integrations, and automations that employees can rely on. You will write code, experiment quickly, and take responsibility for production quality. Your judgment will shape where AI adds value, where conventional automation is better, and what should remain a human decision. The components and insights you contribute will help other teams solve similar problems. You will have room to own meaningful work, deepen your applied AI expertise, and see the results of what you build across Reddit. Responsibilities Build AI applications, agents, skills, connectors, and workflow automations that solve business problems and improve how Reddit works. Translate ambiguous business problems into AI-native workflows and technical delivery plans. Work closely with internal functions, embedding where needed to understand their work and build trust with AI champions, builders, and subject matter experts. Understand function goals, jobs to be done, current workflows, systems, data, and measures of success. Prototype within days and productionize priority workflows within weeks when feasible. Integrate approved data, tools, APIs, and actions into safe end-to-end workflows. Define evals, review gates, human-in-the-loop controls, observability, and evidence. Launch trusted production workflows with governance, support, reversibility, and named owners. Transfer maintainable workflows to function owners and reduce long-term dependency on the team. Return repeated needs, blockers, and infrastructure requirements to the AI Platform Hub. Turn local wins into reusable agents, skills, templates, connectors, playbooks, and platform patterns. Required Qualifications 5+ years building software, including AI applications, agents, automations, or internal tools. Strong engineering fundamentals and production judgment; translates ambiguous business needs into solutions. Hands-on agent development and deployment, including tool/API use, orchestration, state, and failure handling. Enterprise integrations using MCP or comparable tool integration patterns. Experience with LLM retrieval and structured outputs. Reliable AI operations: cloud deployment, access controls, observability, evals, failure analysis, and improvement. Clear technical and non-technical communication; explains tradeoffs and incorporates feedback. Preferred Qualifications Experience with enterprise business systems, internal tools, or embedded delivery. Experience creating reusable components or helping teams adopt new tools. Experience redesigning business workflows and measuring gains in quality, speed, capacity, or cost. Experience building user-facing AI tools and driving adoption through feedback, onboarding, and training. Benefits: Comprehensive Healthcare Benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Wellness Days 4+ months paid Parental Leave Paid Volunteer time off #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: $180,200 — $252,300 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: 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 . Lead Forward Deployed Engineer (AI Enablement) As a Lead Forward Deployed Engineer, you will own the vision for how applied AI solves business problems at Reddit. You will identify where AI can create the most value, set technical direction, and turn that vision into production capabilities that improve how the company works across its business and technical functions like Sales, Marketing, Business Development, and Finance. This is an opportunity to shape a growing engineering practice with impact across Reddit. Working with business leaders and the AI Platform team, you will define priorities, challenge assumptions about existing workflows, and guide investments in AI applications, agents, and automations. Your decisions will connect emerging AI capabilities to measurable improvements in quality, speed, capacity, and cost. This is a senior technical leadership role with room to influence strategy, grow others, and build lasting capabilities across the company. Your impact will come from the business problems you help Reddit solve and the teams you make more effective. You will also lead through delivery: organizing  the work of engineers, mentoring engineers and technical leads, and establishing the architecture and engineering practices that help teams ship reliable solutions. You will remain hands-on in the most consequential work, using what you build and learn to shape shared capabilities that other teams can adopt. Responsibilities Build AI applications, agents, skills, connectors, and workflow automations that solve business problems at Reddit. Translate ambiguous business problems into AI-native workflows and technical delivery plans. Work closely with internal functions, embedding where needed to understand their work and build trust with champions, builders, and subject matter experts. Understand function goals, jobs to be done, workflows, systems, data, and success measures. Prototype within days and productionize priority workflows within weeks when feasible. Integrate approved data, tools, APIs, and actions into safe end-to-end workflows. Define evals, review gates, human-in-the-loop controls, observability, and evidence. Launch trusted production workflows with governance, support, reversibility, and named owners. Transfer maintainable workflows to function owners and reduce long-term dependency on the team. Return repeated needs, blockers, and infrastructure requirements to the AI Platform Hub. Turn local wins into reusable agents, skills, templates, connectors, playbooks, and platform patterns. Additional Lead Responsibilities Stay current with advances in AI models, agents, tools, and deployment practices; translate promising capabilities into Reddit’s AI strategy, roadmap, and investment priorities. Set the vision and technical direction for applying AI to business problems across Reddit; partner with business leaders and AI Platform to prioritize opportunities and scale measurable value. Organize and sequence engineers’ work, clarifying ownership, dependencies, and milestones; build shared capabilities that improve delivery. Mentor engineers and technical leads through design and code reviews, strengthening applied AI, system design, evals, and production judgment. Required Qualifications 8+ years building software, including automations, workflows, AI applications, agents, or internal tools. Strong software engineering fundamentals and production judgment; ability to work through ambiguous business and technical discovery. Experience with MCP, reusable tool integrations, and enterprise identity and access patterns. Experience integrating APIs, data systems, enterprise tools, and workflow actions. Hands-on experience building and deploying AI agents, including tool use, orchestration, state, and failure handling; production LLM experience with retrieval, structured outputs, evals, monitoring, and controls. Demonstrated technical leadership and product judgment through architecture decisions, reviews, mentoring, and influence across teams. Ability to prioritize ambiguous opportunities and communicate technical, business, and operational tradeoffs. Experience creating a component, engineering practice, or architectural pattern adopted beyond your own project. Ability to build trust with business stakeholders and establish clear decisions, responsibilities, and success measures. P referred Qualifications Experience in applied AI, forward-deployed engineering, internal platforms, or enterprise workflow modernization. Experience improving engineering practices across a team or multiple teams. Experience delivering business-critical workflows with auditability, sensitive data, or consequential automated actions. Experience measuring workflow gains in quality, speed, capacity, or cost. Experience driving AI adoption through user feedback, onboarding, and training. Benefits: Comprehensive Healthcare Benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Wellness Days 4+ months paid Parental Leave Paid Volunteer time off #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: $194,600 — $272,400 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: United States Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. This position is required to be in the US Eastern Time Zone.   WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs.   WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar.   OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Developer Platform https://www.notion.com/product/dev engineer, you will directly contribute to the foundational pieces that make Notion extensible and connected. You will build tools, APIs, and platform experiences that help customers connect Notion to the world — bringing their apps, data, and workflows into one workspace. Your work will make it easier for developers, admins, and builders to create reliable integrations and automations on top of Notion. You will be a key player in building the robust technical foundation that allows Notion to achieve the connected workspace vision. Your work will include both internal platform contributions that accelerate other Notion engineering teams and end-user-facing functionality that enables toolmaking ubiquity. You will be presented with challenging technical problems, as Notion’s product needs are complex. You’ll play a key role in identifying and executing against technical investments that ensure the long-term quality, reliability, and performance of Notion’s platform as we scale. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance. - You’ll evolve Developer Platform capabilities across APIs, MCP tools, and integration infrastructure that help customers automate workflows, customize Notion, and connect Notion to the tools and data they use every day. - You’ll contribute to the overall performance, reliability, and robustness of the Notion product, ensuring it scales elegantly across many dimensions. - You’ll partner with engineering leaders to identify and execute against high-leverage technical investments that ensure the long-term flexibility and sustainability of our core systems. SKILLS YOU'LL NEED TO BRING: - 2+ years of experience shipping production software, with a strong track record of owning features end-to-end - Fluency with TypeScript across both backend and frontend - Strong product instincts: you can take a vague problem, propose a solid technical approach, and know when to cut scope - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - Experience building developer tools like APIs and SDKs - Experience driving teams toward shared goals and balancing business priorities with individuals’ strengths, areas of interest, and career development goals - Familiarity with AI/agent tooling, evals, or LLM-driven product experiences Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 – $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: United States Remote; Canada Remote; United Kingdom Remote Workplace: Remote ABOUT THE TEAM The Mural Compose team is ambitious and fast-moving. We are passionate builders who love to experiment and iterate. Our project is seeking to leverage the latest technology in AI to acquire new customers and expand our revenue base as broadly as possible. This team is at the front of our product strategy and future growth.   YOUR MISSION You'll lead the team behind one of Mural's most important bets. In the near term, you'll take our AI native product from early access to a product that customers rely on every day, raising quality, reliability, and speed as more users come on board. Expect a very hands-on role. You'll review PRs, set the technical standards the team builds to, and stay close to the code and architecture decisions. You'll also keep the team's pace high and sustainable while building a high-performing team in a remote-first way.   WHAT YOU'LL DO -  Lead, hire, and grow a team of full-stack engineers through regular 1:1s, clear expectations, coaching, and performance management. - Own delivery end to end with a fast, experimental loop: ship early to real users, measure what works, and iterate quickly without losing reliability. - Partner with Product and Design as co-owners of the Compose roadmap, using customer feedback and usage data to decide what to build, cut, or double down on. - Raise engineering craft across testing, observability, and AI-assisted development, and model Mural's remote-first, work-in-public culture at a sustainable pace. WHAT YOU'LL BRING -  2+ years managing software engineers directly, with responsibility for hiring, coaching, and performance management. - 5+ years of prior experience as a software engineer building and operating production applications, with hands-on technical work in the last 3–4 years. - A solid technical foundation, enough to lead architecture discussions and review code with credibility. - A bias for experimentation: you make sound calls quickly, learn from data, and change course when the evidence says so. - A people-first approach: you lead with empathy, listen first, and build the trust and psychological safety that help each person do their best work. - Excellent communication skills, including explaining technical tradeoffs clearly to product, business, and customer stakeholders. - Experience leading a team that shipped LLM-powered features to production, including evaluation, quality monitoring, and cost management. - Experience building AI agents, retrieval systems, knowledge graphs, or familiarity with Model Context Protocol (MCP). Our Stack Azure OpenAI, React, Node, MongoDB EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Berlin Office; London Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Product Manager in our Berlin or London offices. ABOUT THE ROLE Taktile is building the world's leading Agentic Decisioning Platform for Financial Services. Our customers use our product to automate millions of critical decisions with AI across customer onboarding, credit underwriting, anti money laundering, and many other use cases. Underneath every one of these decisions sits the Taktile Platform: the permissions, environments, deployment, extensibility and connectivity foundations that allow the largest financial institutions to run Taktile securely and at scale, for both humans and AI agents. Taktile Platform also owns developer productivity: the tooling, infrastructure and workflows that help our engineering teams ship quickly and safely. As a Senior Product Manager, you will own the strategy and roadmap for the platform, with a focus on its enterprise and agentic foundations. You will work closely with platform, infrastructure and security engineering to meet the demands of a rapidly growing enterprise customer base, and partner with customer-facing teams and Product Marketing to make our platform a reason customers choose Taktile. WHAT YOU’LL DO - Own the strategy and long-term success of the Taktile Platform, the foundation that every product area and every enterprise customer builds on - Define a compelling long-term vision for the platform and prioritize the roadmap necessary to reach it. Example areas of focus will include permissions for users and AI agents, Taktile MCP extensibility, release processes (e.g. environments), enterprise connectivity, and more - Build a deep understanding of enterprise requirements (security, IT, compliance and procurement), the competitive landscape and opportunities for differentiation, collaborating with customer-facing teams - Translate customer insights into well thought out product requirements - Balance innovation with a very high bar for reliability and security - Act as the voice of the platform: enable and advocate for platform capabilities across product, engineering and go-to-market teams, and partner with Product Marketing to bring them to market - Track adoption and performance of platform capabilities through metrics and customer feedback, identifying opportunities for iteration WHO YOU ARE - 5+ yrs work experience in Product Management, including previous experience owning platform topics (e.g. identity and access management, permissions, environments, deployment models, connectivity or developer platforms) for B2B SaaS or AI products - Strong technical depth and an appetite to keep deepening it. An engineering or other technical background is preferred. You are comfortable going deep with engineers on cloud infrastructure, authentication and authorization (e.g. OAuth, SSO, SCIM) and networking. Experience in building critical, high-availability systems is a strong plus - Experience working with enterprise security, IT and compliance stakeholders, for example through security reviews, RFPs or complex customer deployments. Familiarity with AI agents and MCP is a must, familiarity with and with financial services is desired - Excellent written and verbal communication skills, with an ability to build trust and influence decisions across functions, and to explain complex technical concepts to technical and non-technical audiences alike - Track record of delivering lasting customer impact through shipping well-thought out product improvements - Aptitude and appetite for using data to inform your decision-making - Hands-on, curious, and willing to challenge yourself and grow your scope of responsibilities over time OUR OFFER - Work with colleagues that lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here - Operate with a high degree of autonomy that allows you to make an impact and meaningfully impact a critical area of our product - Experience a flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe including the founders of Looker, Datadog, GitHub, and UiPath - Enjoy annual offsites where the entire company co-locates to collaborate in person - Receive a top-of-market equity and cash compensation package as well as access to a self-development budget - Work at our prime office locations in Berlin or London for three days per week or more OUR STANCE - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: United States At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: As a senior individual contributor on the Application Security team, the Staff Application Security Engineer will help to define and drive Reltio’s application and product security architecture across a distributed, cloud-native SaaS platform. This role helps in the technical direction for securing how Reltio designs, builds, and ships software—helps to define the strategy and roadmap for secure SDLC, shift-left automation, and the secure adoption of API-driven and AI/agentic technologies. The Staff Application Security Engineer will partner with the Engineering, DevOps, Product, and Release Management teams to embed security as a foundational part of software design and delivery. The successful candidate will set standards, mentor and uplevel other security and engineering staff, lead complex threat modeling and architecture reviews, and develop novel techniques to identify and stop application- and AI-layer attacks—protecting Reltio’s intellectual property and customer data globally. Job Duties and Responsibilities: Security Architecture & Technical Leadership Serve as the senior application security subject matter expert, providing guidance on industry best practices, secure design patterns, and defense-in-depth strategies for the product security architecture. Helps to define and drive the overall application/product security architecture, vision, strategy, and roadmap across Reltio’s platform and services. Influence engineering architecture and roadmap decisions without direct authority, driving risk-based consensus across teams. Mentor and uplevel application security engineers and development teams, raising the secure-coding maturity of the broader organization. Secure Development Lifecycle & Shift-Left Embed security throughout the SDLC, from design through deployment, and define secure coding standards and best practices adopted across teams. Drive shift-left initiatives by providing guidance, tooling, paved-road patterns, and remediation support that enable engineers to build securely from the outset. CI/CD Pipeline Security Design and implement security controls within CI/CD pipelines, enabling automated security testing and vulnerability detection at scale. Operationalize SAST, SCA, DAST, and secrets scanning as policy-driven, low-friction gates; partner with release management on secure deployment checks and policy compliance. Threat Modeling & Risk Assessment Lead threat modeling sessions for complex, high-impact systems to identify and mitigate security risks early in design and architecture phases. Perform technical risk assessments of new technology and ensure solutions meet secure architecture designs; assess, measure, and clearly communicate risk impact to stakeholders. Vulnerability Management Analyze and validate remediation of application security findings from SAST, SCA, DAST, API testing, penetration tests, and manual assessments. Drive risk-based prioritization of fixes, reduce false positives, and provide clear, actionable remediation guidance with proper pre-release validation. API Security Partner with engineering to ensure secure API design and implementation; identify and mitigate authentication/authorization issues, data exposure, rate-limiting gaps, and OWASP API Top 10 risks. AI & Agentic Security (Guardrails, MCP, LLM) Helps to define AI security guardrails for Reltio’s AI and multi-agent platforms, addressing prompt/output validation, insecure model usage, data leakage, and tenant-isolation concerns. Establish security standards for Model Context Protocol (MCP) servers and tools—covering tool authorization, scoping, and abuse prevention—and lead threat modeling of agentic workflows (autonomous tool use, indirect prompt injection, excessive agency). Develop new and novel defense techniques to detect and stop advanced application- and AI-layer adversary tactics, and evaluate AI-assisted security tooling to scale detection and remediation. Penetration Testing & Security Validation Perform and oversee application, API, and AI/agent penetration testing; build and curate test payloads (including prompt-injection and guardrail bypass suites) and validate control effectiveness. Training, Collaboration & Continuous Improvement Deliver secure-coding, API, and AI-security guidance and hands-on support during code and design reviews. Partner with DevOps, QA, Engineering, Product, and Release Management to integrate security requirements throughout development and release. Stay current on emerging application, API, and AI/agentic security threats and continuously improve security processes, tooling, and overall posture. Investigate security events and incidents leveraging security tooling, and support customer-facing security communications as needed. Skills You Must Have: 8+ years of experience in application security or software development, including significant time in a cloud-native or SaaS environment. Demonstrated technical leadership as a senior individual contributor: setting standards, driving cross-team initiatives, and influencing architecture without direct authority. Hands-on experience with secure coding practices and modern application development; proficiency leading secure code reviews. Strong understanding of cloud well-architected frameworks, application development, and deployment workflows. Strong understanding of application security vulnerabilities (OWASP Top 10) and prevention strategies. Strong understanding of API security principles and the OWASP API Top 10. Experience integrating security into CI/CD and release management processes (e.g., Jenkins, ArgoCD, or similar). Experience with application security testing methodologies—SAST, SCA, and DAST—integrated into CI/CD pipelines. Experience with AI security concepts, including guardrails, prompt and output validation, data protection, and MCP security. Hands-on experience with web technologies such as Java, Java Spring Boot, JavaScript, Node.js, C#, modern UI frameworks, microservices, and cloud-native/serverless architectures. Experience with AWS, GCP, and/or Azure, and securing containerized environments and Kubernetes. Hands-on experience with Burp Suite Pro for web and API testing. Experience with modern application security platforms, with Wiz preferred (other AppSec tools acceptable). Strong communication and presentation skills, with the ability to educate, collaborate, and drive risk-based consensus. Self-starter with a history of driving technical initiatives; adaptable, agile, and effective in global, distributed teams. Skills That Are Nice to Have: Hands-on experience securing LLM applications and multi-agent systems, including agentic guardrail frameworks (e.g., NeMo Guardrails, AWS Bedrock Guardrails) and MCP gateway/tool security. Experience building or operationalizing AppSec automation/orchestration (SAST/SCA/secrets + AI analysis) and defect-management integration (e.g., DefectDojo). Experience with commercial AppSec/SCA platforms such as Wiz Code, Veracode, Checkmarx, Cycode, or SonarQube. Experience developing and operationalizing a vulnerability management or product security program at scale. Experience with industry frameworks such as SOC 2, HITRUST, or ISO 27001, and supporting audit/customer-assurance processes. Applying ML/AI techniques to enhance security detection, anomaly identification, and automated risk prioritization. Relevant security and cloud certifications. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $145,000 — $207,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Уверенный React/TypeScript и Python (FastAPI).

Manage and maintain IT systems in a cloud first environment. Provide friendly and unflappable technical support.

Location: Prague, Czechia; Lisbon, Portugal; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com We are currently hiring Staff Engineers for various projects within the Imunify360 product. Imunify360 is CloudLinux's multi-layer security suite for Linux web servers: antivirus and malware cleanup, WAF, IDS/IPS, Proactive Defense, patch management (KernelCare/Patchman), and IP/domain reputation. It runs on hundreds of thousands of shared, VPS and dedicated hosting servers, under cPanel, Plesk, DirectAdmin and standalone. The engineering org is 60+ engineers in squads covering backend, core, server agent, malware research, WAF/WebShield, and Patchman. Core services are Python; agents and performance-critical paths are Go and Rust. We run on Hetzner and our own bare metal. Check out our website for more information: https://imunify360.com/ Role Mission & Scope Most complex technical challenges in Imunify360 go beyond individual squads. A single detection change can impact the scanner, agent, UI, reputation backend, and release process. While squad leads own delivery within their teams, the Staff Engineer ensures technical alignment across the product. As a Staff Engineer, you'll be a hands-on technical leader working across the entire product , focusing on the most critical and high-impact challenges as priorities evolve. You'll drive technical decisions, improve architecture, establish engineering standards, and help teams build sustainable solutions. This is an individual contributor role , without direct people management responsibilities. You'll remain actively involved in development, spending approximately 30–50% of your time writing production code , rather than focusing solely on architectural design. While deep expertise in a particular area is valued, this role requires the flexibility to work across different components, collaborate with multiple squads, and tackle challenges wherever your expertise can make the greatest impact. What you will own Architecture and technical direction Own the end-to-end architecture of Imunify360 as a product: agent ↔ server ↔ cloud backends, data flows, and the contracts between them. Write and drive ADRs and RFCs for cross-squad changes. Run the Wed/Fri architecture sync together with the Technical Director. Keep a living tech-debt and risk register (security / compliance / uptime) with owners and dates, and get the top items funded on the roadmap. Hard cross-cutting problems (examples of what lands on your desk) Agent resource footprint on dense shared hosts: CPU, memory and I/O budgets for scanning, file monitoring (inotify/fanotify) and WAF, measured on real kernels, not benchmarks from elsewhere. Detection pipeline quality: false positive / false negative rates, signature and ML model rollout with staged gates and rollback. Upgrade and release safety across a large, heterogeneous fleet (CentOS/AlmaLinux/CloudLinux/Ubuntu, multiple control panels, old kernels). Backend scale and cost of reputation, ThreatIntel and telemetry services. Migrating hot paths from Python to Go/Rust where the data shows it pays off, and saying no where it doesn't. Engineering standards Set the bar for design reviews, code review, testing strategy, observability (Prometheus/Grafana/Sentry) and secure SDLC (OWASP ASVS, CIS Benchmarks as relevant). Lead or co-lead SEV1/SEV2 incidents when the cause is unclear or cross-squad; make sure the blameless post-mortem ships within 24 h and its actions get closed. Drive the AI-augmented SDLC in practice: show what good agentic coding looks like (prompt specificity, context provision, review quality, tool boundaries) on real changes, not slides. People multiplier (no direct reports) Mentor senior engineers and squad leads toward staff-level scope. Act as the technical bar-raiser in hiring loops for senior and lead roles. Be the engineering voice in product and sales discussions: estimates, feasibility, and no dated customer commitment without a written squad-lead estimate. Key Milestones 30 days: Shipped at least one non-trivial change to production. Can explain the full request path from agent to backend. Has a personal list of top 10 technical risks. 90 days: Owns one cross-squad initiative with an approved ADR, a measured baseline, and a staged rollout plan. Published risk register reviewed in arch sync. 6 months: That initiative is in production with before/after metrics. At least one engineering standard (e.g. release gating, agent perf budget, design review template) is adopted by 3+ squads. 12 months: Recognized by squad leads as the default escalation point for cross-cutting technical decisions. At least one senior engineer grown into broader scope with your mentorship. Requirements Must have 10+ years building and operating production software, with 3+ years in a Staff/Principal/Tech Lead scope spanning several teams. Strong production experience in Python and at least one of Go or Rust . Deep Linux internals : processes, filesystems, networking, kernel interfaces (inotify/fanotify, eBPF or similar), packaging (RPM/DEB), systemd. Track record of designing and running distributed systems at scale: async backends, queues, databases, caching, failure modes. You have owned systems that run on customer machines (agents, daemons, on-prem software) and know what upgrade safety, backward compatibility and resource budgets mean there. Security mindset: threat modeling, secure coding, handling of untrusted input (files, HTTP traffic, user content). Writes clear, short technical documents and drives decisions in async, remote teams across time zones. Uses AI coding tools (Cursor, Claude, MCP-based tooling) daily and can judge their output critically. Nice to have Experience in server security: AV/malware detection, WAF (ModSecurity/Coraza), IDS/IPS, rootkit detection, CVE/patch management. Experience with WordPress and Node.JS web application hosting at scale ML in production for classification/detection, including evaluation and safe model rollout. Observability at scale: Prometheus, Grafana, Sentry, ClickHouse or similar. CI/CD ownership: GitLab CI, Jenkins, build systems for multi-distro packaging. Open-source contributions in security or systems tooling. Benefits What's in it for you? Stay hands-on technically while owning complex, high-impact engineering work. Work on challenging Linux, automation, and cybersecurity problems across mature and newer products. Influence technical direction and make meaningful architectural decisions. Work independently with a high level of ownership and autonomy. Fully remote work with flexible working hours. 24 paid vacation days, 10 national holidays, and unlimited sick leave. Private medical insurance compensation. Co-working and gym/sports reimbursement. Education budget. Opportunity to receive a reward for innovative ideas that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

написание спецификаций для разработчиков на основе бизнес-требований и макетов интерфейсов. участие в процессе тестирования созданного функционала.

Задачи: — функциональное тестирование backend сервисов и UI и написание и поддержка тестовой документации (чек-листы, тест-кейсы, баг-репорты, инструкции) — подготовка тестовых данных для тестирования / проведения ПСИ, участие в релизах, проведение регрессионного тестирования и в проведении сценариев приемо-сдаточных испытаний (ПСИ) — участие в работе с обращениями от пользователей и анализ информации в БД и логах сервисов — построение и поддержка eval-набора (golden set) и регрессионного контроля качества при смене моделей, промптов и версий приложения — автоматизированная оценка качества генерации (LLM-as-judge, метрики типа Ragas) при релизах — тестирование RAG: качество поиска релевантного контекста, корректность источников, поведение при неполной / противоречивой информации — тестирование агентных сценариев: многошаговые цепочки, вызовы инструментов (MCP), повторные попытки, эскалация к человеку — участие в мониторинге качества в проде и настройке обратной связи от пользователей. Требования: — опыт работы в тестировании от 3 лет — понимание HTTP, кодов ответов, авторизации — опыт тестирования API (REST/JSON) для проверки интеграций и бизнес-логики, микросервисного взаимодействия — опыт тестирования запросов с помощью Postman/Insomnia/Swagger — опыт работы с форматами данных: JSON, YAML, XML, HTML — знание SQL, умение написать SQL запрос средней сложности — базовый опыт работы с системами сбора и визуализации метрик, работа с логами (Prometheus, Grafana) и понимание CI/CD и участия QA в пайплайнах доставки — понимание принципов работы LLM и их ограничений: недетерминированность вывода, галлюцинации, методы оценки качества генеративных моделей и опыт построения eval-наборов (golden set) и оценки качества LLM — желательно — LLM-as-judge, Ragas. Будет плюсом: — понимание RAG и методов оценки качества retrieval: релевантность контекста, корректность источников — опыт тестирования агентных систем: многошаговые агенты, tool calling — опыт работы с Python для автоматизации оценки (pytest) — понимание метрик качества AI-продукта и мониторинга качества в проде — опыт работы с Kafka — опыт работы с векторными / графовыми БД (например, Qdrant) Условия: — гибридный формат работы из офиса в г. — Москва — годовой бонус и ежегодный пересмотр — ДМС с первого дня + стоматологию и льготное страхование для семьи — корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях — офис на Ленинском проспекте с зонами отдыха и спортзалом — льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Задачи: — Разрабатывать программное обеспечение для сбора, обработки и анализа данных. — Участвовать в проектировании архитектуры и компонентов ПО, выборе инструментов и технологий. — Писать, отлаживать и оптимизировать программный код. — Разрабатывать новые функции стека и внедрять их на различные аппаратные платформы. — Участвовать в демонстрационных и приёмо-сдаточных мероприятиях создаваемых решений. — Составлять техническую документацию к разработанному ПО. — Содействовать решению проблем при эксплуатации разработанного ПО в рамках своих компетенций. — Использовать современные инструменты разработки, управления версиями, развёртывания ПО и проведения экспериментов для обеспечения согласованности и сохранности результатов работы. Требования: — Высшее техническое образование. — Уверенное владение Python, опыт коммерческой разработки. — Работа с PostgreSQL (написание запросов, оптимизация, миграции). — Опыт работы с объектными S3-хранилищами (загрузка, выгрузка, управление доступом). — Работа с RabbitMQ (публикация/подписка, обработка сообщений, гарантии доставки). — Понимание принципов работы LLM-агентов и умение строить их с помощью LangChain, LangGraph, ADK и других фреймворков. — Опыт работы с распределёнными системами (масштабирование, отказоустойчивость, согласованность). — Знание алгоритмов и структур данных, принципов разработки ПО, гибких методологий, систем контроля версий (Git) и контейнеризации (Docker). — Понимание принципов и способов интеграции больших языковых моделей в промышленные системы. — Знакомство с протоколом MCP (Model Context Protocol) и опыт его применения (преимущество, но рассматриваются кандидаты, готовые быстро освоить). Будет плюсом: — Опыт работы с векторными БД (Qdrant, Weaviate, Milvus и др.). — Знание Redis. — Опыт работы с графовыми БД (Neo4j и др.). — Знакомство с Grafana (мониторинг и визуализация метрик). — Понимание принципов CI/CD (GitLab CI, Jenkins и др.). — Умение сделать простой фронтенд (HTML/CSS/JS, React/Vue — базовый уровень). Условия: — Конкурентный уровень заработной платы. — Расширенная программа ДМС (большой выбор клиник, включая стоматологию). — Социальная поддержка (выплаты при рождении ребенка, консультации корпоративного психолога). — Возможность бронирования. — Современный кампус с собственной парковкой. — Гибкое начало рабочего дня (по согласованию с руководителем). — Предоставление других льгот и доступ к разнообразным партнерским программам в соответствии с внутренними правилами. — Хорошая транспортная доступность (МЦД-1 до ИЦ Сколково, транспорт от станций метро Славянский бульвар, Тропарево, Кутузовская, Молодежная, Солнечная, Филевский парк).

— Поддержка и развитие AI-сервиса на Python и LangChain. — Интеграция LLM-моделей, разработка AI-агентов и RAG-систем.

• Коммерческий опыт разработки на Python от 3 лет. • Понимание эмбеддингов, поиска, реранкинга и борьбы с галлюцинациями.

Задачи: — Автоматизация сбора доказательств. — Настройка и эксплуатация платформы автоматизации GRC: подключение источников данных, создание плагинов для доказательств, определение наборов данных, написание правил анализа и организация непрерывного мониторинга, замена ручных процессов скриншотов на автоматизированные сборщики, сопоставленные с контролями. — Автоматизация рабочих процессов GRC и выполнение compliance как кода. — Использование Claude Code (или аналогов) и MCP для запросов доказательств, сопоставления контролей, анализа пробелов, обзоров поставщиков и отчетности. — Создание и поддержка агентских систем команды. — Управление политиками, определениями контролей и автоматизацией в GitHub через ветки, pull-запросы и ревью. — Проектирование тестирования контролей и управление исправлениями. — Инструментирование тестирования по стандартам SOC 2, ISO 27001, ISO 27017/27018, ISO 27701, PCI DSS и ISO 42001 для непрерывного обеспечения, а не точечных снимков, и работа с владельцами контролей и инженерами для устранения пробелов с автоматизированными доказательствами. Требования: — Опыт 5+ лет в области compliance, GRC или IT-аудита, практический опыт с SOC 2, ISO 27001, PCI DSS и смежными стандартами. — Опыт 1+ года использования агентских AI-систем (Claude Code, Codex и др.) для реальной работы по compliance с реализованной автоматизацией. — Уверенное владение GitHub: репозитории, ветки, pull-запросы и код-ревью. — Знание CI/CD будет преимуществом. — Быстрая обучаемость новым инструментам. — Способность самостоятельно настраивать платформу автоматизации GRC. — Глубокое понимание GRC: проектирование контролей, доказательства, риски и мышление аудиторов. — Знание облачных технологий (AWS, Azure, GCP): IAM, вычисления, хранение, сеть и контролей безопасности. — Системное мышление и предпочтение автоматизации повторяющейся ручной работы. Преимущества: — Умение читать API, JSON и логи. — Навыки скриптинга (Python, bash, TypeScript). — Опыт работы с платформами автоматизации GRC (Vanta, Drata или аналогичными). — Опыт интеграции через API и легкое программирование. — Сертификаты CISA, CISSP, ISO 27001 Lead Auditor или аналогичные. — Опыт в области управления рисками AI, AI governance или ISO 42001. — Опыт работы в технологической, SaaS или инженерной среде. Условия: — Полная занятость, гибридный формат работы, офис в Берлине. — Зарплата от 76 000 до 106 000 евро в год. — Помощь с релокацией в Германию: поддержка с визой, сервисы по месту назначения, бонус на покрытие расходов (временное жилье и др.). — Профессиональный и личный рост: обучение, коучинг, регулярная обратная связь. — Комплексные льготы для сотрудников в Германии: конкурентная оплата, медицинское обслуживание (включая психическое здоровье), страхование рисков, оплачиваемый отпуск. — Поддержка обустройства домашнего офиса, стипендии на здоровье и уход за питомцами, возможности для обучения и развития.

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