Вакансии

MLOps / Cloud Engineer (AWS)

Задачи: — Подключать новые источники данных — Разрабатывать и модернизировать существующие решения

География найма не уточнена

Andersen Lab1 дн назад

Задачи: — разработка и развитие платформы анализа изображений на базе машинного обучения, автоматизирующей выявление дефектов и контроль качества при гальванической и финишной обработке поверхностей. Требования: — опыт работы от 5 лет в DevOps или Cloud с AWS в качестве основной облачной платформы; — практический опыт развертывания ML-моделей или Python-сервисов в AWS, включая SageMaker, inference endpoints и Step Functions; — знание английского языка на уровне Intermediate и выше.

seniorГеография найма не уточнена

Sentry1 дн назад

Engineering Manager, Data Platform

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps over 4 million developers understand and resolve issues in their applications. Behind every error, performance trace, replay, and log is a large-scale data platform responsible for storing, querying, and analyzing massive volumes of telemetry data. We're looking for an Engineering Manager to lead our Events Analytics Platform (EAP) team, which builds and operates the distributed data systems powering Sentry's products. The team manages petabytes of data and develops high-performance analytical infrastructure using technologies like ClickHouse, enabling fast, complex queries across billions of records. As Sentry grows, so do the technical challenges. The team is evolving its storage and query infrastructure to support increasing data volumes, more complex analytical workloads, and unified access to different types of telemetry data. EAP also provides the data foundation for Seer, Sentry's AI-powered debugging agent, enabling AI systems to access the production context needed to investigate and resolve issues. In this role, you'll lead a team of engineers tackling complex distributed systems challenges while balancing architectural improvements with the reliability and performance of production systems. You'll bring strong technical judgment, guide engineering decisions, and work closely with product engineering teams to build capabilities that directly impact the developer experience. This is an opportunity to lead a critical part of Sentry's infrastructure, solve challenging problems at scale, and shape how developers and AI-powered tools interact with application data. WHAT YOU'LL DO - Lead and develop a team of engineers working on large-scale distributed data systems, fostering technical excellence, ownership, collaboration, and professional growth. - Drive technical execution and architectural decisions across EAP's storage and query infrastructure, balancing scalability, reliability, performance, and long-term maintainability. - Build and evolve analytical data systems supporting complex queries, high-throughput workloads, and efficient access to petabytes of event data. - Guide the evolution of EAP's architecture, including query optimization, storage and compute separation, and the unification of different event types into a common analytical platform. - Own the operational health of the platform, leading efforts to improve reliability, troubleshoot production issues, manage incidents, and address scaling challenges. - Partner with product engineering teams to understand their technical requirements, make informed tradeoffs, and deliver platform capabilities that support new product experiences. - Support Sentry's AI-powered capabilities by ensuring the platform efficiently serves the analytical workloads and production context required by Seer and other AI-driven experiences. - Set clear priorities and drive projects from design through production, helping the team execute effectively while managing competing technical and product needs. YOU'LL LOVE THIS JOB IF YOU - Enjoy leading engineers while staying closely involved in technical discussions, architecture, and complex problem-solving. - Get excited about building and operating large-scale distributed systems where performance, reliability, and efficiency matter. - Have a strong interest in analytical databases, storage engines, query systems, and the engineering challenges behind processing massive volumes of data. - Like working through difficult technical tradeoffs and turning ambiguous requirements into practical engineering solutions. - Take pride in building reliable production systems, understanding how they behave under load, and continuously improving their performance. - Enjoy collaborating with product engineering teams and understanding how infrastructure decisions influence the end-user experience. - Want to lead a team whose work directly supports Sentry's core products and growing AI-powered capabilities. QUALIFICATIONS - Significant professional software engineering experience, including experience managing and developing engineers, leading technical projects, and driving engineering execution. - Strong technical background in distributed systems, data infrastructure, analytical databases, or large-scale backend systems. - Hands-on experience building, scaling, or operating complex data-intensive systems, with depth in at least one of the following: - Analytical database infrastructure: Operating, scaling, optimizing, or maintaining OLAP systems such as ClickHouse, Apache Pinot, Apache Druid, or similar technologies in production. - Complex distributed data platforms: Designing and building sophisticated systems using analytical databases or distributed storage technologies as foundational components, with meaningful ownership of the underlying architecture, performance, and reliability. - Experience making architectural decisions and technical tradeoffs involving system scalability, performance, reliability, or operational complexity. - Demonstrated ownership of production systems, including troubleshooting, incident response, performance optimization, and operational improvements. - Experience leading engineering projects from technical design through implementation, deployment, and ongoing operations. - Strong communication and collaboration skills, including the ability to work with cross-functional stakeholders and translate technical requirements into actionable engineering priorities. Bonus points for: - Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases. - Experience with query optimization, analytical storage architecture, or high-throughput data processing. - Experience building infrastructure for observability, telemetry, developer tools, or event-driven applications. - Experience working closely with product engineering teams to develop infrastructure supporting customer-facing features. - Proficiency with Python, Rust, or similar backend programming languages. Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Sentry1 дн назад

Engineering Manager, Infrastructure

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry's Infrastructure Engineering team focuses on making operating Sentry simple, safe, and seamless for the rest of the engineering organization. The team builds and operates foundational infrastructure, internal control and configuration systems, and the tooling and automation that allow engineers to deploy, manage, and safely operate production services at scale without needing to understand the underlying infrastructure complexity. As the Engineering Manager for Infrastructure Engineering, you'll lead a team of engineers building the foundational infrastructure, internal control systems, and developer-facing tools that enable Sentry's engineering teams to operate production services safely and efficiently at scale. This team focuses on making infrastructure easier to use and manage through automation, self-service tooling, and software abstractions that reduce operational complexity. You'll be responsible for the team's technical direction, execution, reliability, and growth, while partnering with engineering teams across Sentry to identify and solve shared infrastructure challenges. You'll work closely with leaders across Infrastructure, Platform, and Production Engineering to shape how Sentry scales its infrastructure and operational model as the company grows. IN THIS ROLE YOU WILL - Lead a team of engineers building and evolving the shared infrastructure, internal control systems, and developer-facing tools that Sentry's engineering teams rely on. - Drive improvements to infrastructure automation, configuration management, production safety, and developer self-service, making complex infrastructure easier and safer to operate. - Define and execute the team's technical roadmap, working with senior engineers to make sound architectural decisions and prioritize investments in reliability, scalability, and operational efficiency. - Develop engineers at different levels through coaching, mentorship, clear expectations, and opportunities for technical growth and ownership. - Build a healthy, high-performing team culture focused on accountability, continuous improvement, and delivering measurable impact. - Partner with Production Engineering, SRE, Developer Infrastructure, and other engineering teams to identify shared infrastructure challenges, establish standards, and improve developer workflows. - Balance operational needs with longer-term platform investments, reducing manual work and building scalable solutions rather than relying on one-off fixes. - Own the reliability, adoption, and ongoing evolution of the team's platforms and tools, ensuring they deliver meaningful value to the engineers who depend on them. YOU'LL LOVE THIS JOB IF YOU - Enjoy building infrastructure platforms and tools that make operating complex production systems simpler for other engineers. - Like solving infrastructure challenges through software engineering, automation, and self-service abstractions rather than relying on manual operations. - Believe in using proven technologies and choosing reliable, maintainable solutions over unnecessary complexity. - Think about scalability, reliability, and cost efficiency from the beginning, and prefer building solutions that serve many engineering teams rather than one. - Enjoy working across engineering organizations, understanding different teams' needs, and influencing technical decisions and platform adoption. - Take pride in developing engineers, building strong teams, and creating opportunities for people to take on greater technical ownership. - Value clear priorities, measurable outcomes, and delivering infrastructure improvements that make a lasting difference. - Want to work on technically challenging infrastructure problems while helping shape the team's long-term direction. QUALIFICATIONS - 10+ years of software engineering experience, ideally with a focus on infrastructure engineering, platform engineering, distributed systems, or infrastructure automation. - 4+ years of engineering management experience, including leading, developing, and growing teams of software engineers. - Experience leading the architecture, development, or evolution of shared infrastructure platforms, internal developer platforms, or distributed production systems. - Strong software engineering foundation, with experience in backend or systems programming languages such as Python, Go, Rust, or similar. - Hands-on technical experience with cloud infrastructure and familiarity with Kubernetes, Terraform or similar infrastructure-as-code tooling, and infrastructure automation. - Experience building or operating production infrastructure, with an understanding of reliability, scalability, operational risk, and incident management. - Demonstrated ability to define technical direction, evaluate architectural tradeoffs, and lead complex engineering initiatives from planning through delivery. - Experience coaching engineers, developing technical leaders, and building healthy, accountable engineering teams. - Strong technical communication skills and a track record of influencing decisions and aligning priorities across engineering teams and leadership. - Comfortable working across organizational boundaries and partnering with infrastructure, platform, and product engineering teams. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Сбер1 дн назад

Data engineer в команду GigaChat (TTS)

Location: Москва Наша команда отвечает за качество моделей TTS в GigaChat – той части нейросети, которая занимается звуком. Сейчас мы ищем ребят, которые будут работать над базовым качеством, мультимодальным Гигачатом и другими классными проектами. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Писать пайплайны обработки аудио/видео данных. * Хотим обрабатывать десятки тысяч часов в день на кластере * инферить опенсорсные и внутренние модели на гпу (денойзер, распознавание, тулы для оценки качества аудио) * поддержка сетевого хранилища данных Требования * python и алгоритмы на хорошем уровне * опыт с multithreading и multiprocess * опыт обучения и/или инференса тяжелых моделей на нескольких гпу * s3, dvc, git Условия * гибридный или удаленный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров

Москва

Perplexity1 дн назад

Location: San Francisco; London; Remote; Belgrade; New York City Workplace: Hybrid ABOUT THE ROLE Perplexity's security team protects products used by millions of people and thousands of enterprises, including AI agents that browse the web, run code, and act in customer systems. The team is small, senior, and builds most of what it uses: our own detections, agents that triage and investigate alerts around the clock, continuous offensive testing, and secure-by-default platforms for the rest of engineering. We're also turning what we've built into cybersecurity products for customers, so the same team that defends Perplexity builds what we ship. We're looking for an Engineering Manager to lead and grow Security Engineering, including the engineers building our cybersecurity products. You'll own the team's execution and people, set the technical direction for how we defend our infrastructure, products, and corporate environment, and lead the product engineering work that brings those systems to customers. You'll stay close enough to the work to run an incident or review a design yourself. You'll report to Perplexity's head of security and work with engineering, infrastructure, IT, product, legal, and our co-founders. RESPONSIBILITIES - Lead, hire, and grow a team of security engineers across detection and response, cloud and infrastructure security, application and product security, offensive security, and identity and corporate security. - Lead the engineers building our cybersecurity products: set technical direction for agent-driven products across application security, offensive testing, cloud security, and detection and response, and own delivery to design partners and enterprise customers. - Keep the internal security program and the product tightly linked, so what the team runs on Perplexity every day becomes what we ship, and customer feedback improves how we defend ourselves. - Set the roadmap for Security Engineering, balancing incident load, risk reduction, and long-term platform investments, and make clear prioritization calls. - Own security incident response operations: on-call health, escalation, cross-team coordination during incidents, and postmortems that lead to real fixes. - Drive an AI-first security program. Push the team to automate investigation, response, and remediation with agents, and hold that automation to a high bar for accuracy and safety. - Partner with engineering and infrastructure leaders to get security work into their roadmaps, from threat models and design reviews to least-privilege access and secure-by-default libraries. - Represent Security Engineering in enterprise customer security reviews, external researcher and bug bounty engagements, and audits. - Build the team's operating rhythm: clear ownership, metrics that matter (time to detect, time to contain, open risk), and written standards others can follow. - Stay hands-on: review designs and code, run investigations when needed, and keep a working understanding of the systems the team defends. QUALIFICATIONS - 8+ years of engineering experience in security, with at least 3 years managing security or infrastructure engineering teams. - Deep hands-on background in at least two of: detection and response, cloud security (AWS preferred), application or product security, offensive security, or identity and access management. - Experience leading incident response for serious security incidents, including technical investigation, containment, and communication with executives and customers. - Strong management practice: clear feedback, effective 1:1s, career development, and a track record of hiring and retaining strong senior engineers. - Comfortable with modern infrastructure (Kubernetes, cloud-native services, CI/CD) and able to engage credibly with engineers on design and code. - Ability to make good tradeoffs under pressure and explain risk clearly to technical and non-technical audiences. - Experience shipping software products to external customers, ideally security products, including working with design partners and turning customer feedback into a roadmap. - Experience building security programs at a fast-growing company, where you built more than you bought. - Bonus: experience securing AI/ML systems, LLM applications, or autonomous agents, or using AI to scale security operations. - Bonus: experience supporting enterprise compliance programs (SOC 2, ISO 27001, FedRAMP) from the engineering side.

Perplexity1 дн назад

Member of Technical Staff (Site Reliability Engineer, Crawler)

Perplexity1 дн назад

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.

London; Belgrade; Ireland

Perplexity1 дн назад

Member of Technical Staff (Site Reliability Engineer, Crawler)

London; Belgrade; Ireland

Perplexity1 дн назад

Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs 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 - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. QUALIFICATIONS - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. NICE TO HAVE - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.

Perplexity1 дн назад

Globaldev Group1 дн назад

Senior Data Engineer

Location: Ukraine; Poland M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. We come to work every day to create actionable insights from alternative data. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations. We're looking for a Senior Data Engineer who is passionate about building robust, scalable data infrastructure and pipelines. You'll work with petabytes of data daily using cutting-edge technologies including Databricks, SQL, Python, Airflow, and modern AI development tools. This role requires someone who can architect solutions, mentor junior engineers, and drive technical excellence across our data platform. NOTE: This role requires flexible working hours to ensure at least 2 hours of overlap with colleagues based on both the US East Coast and West Coast. Expected working schedule: 12:00–20:00 CET. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines processing petabytes of data; Architect data solutions using modern cloud technologies (AWS, Databricks, Snowflake); Implement real-time and batch processing workflows using Apache Airflow; Optimize data storage and retrieval patterns for analytical workloads; Implement comprehensive data quality frameworks and monitoring systems; Establish data governance standards and best practices; Build automated testing and validation for data pipelines; Develop data lineage and metadata management solutions; Lead technical design reviews and architecture decisions; Mentor junior data engineers and promote best practices; Drive adoption of modern development practices including CI/CD for data pipelines; Leverage AI coding assistants (Cursor, Claude, GitHub Copilot) to accelerate development; Implement AI-driven data quality checks and anomaly detection; Stay current with emerging AI tools and their applications in data engineering. Requirements: 3-8 years of data engineering experience; Expert-level SQL - Complex queries, performance optimization, window functions; Advanced Python - Object-oriented programming, async/await, data processing libraries; Apache Airflow - DAG development, custom operators, workflow orchestration; Databricks - Spark optimization, Delta Lake, Unity Catalog governance; Cloud Platforms - AWS (S3, EMR, Lambda, Glue) or equivalent; Data Modeling - Dimensional modeling, data vault, modern data stack patterns; Experience mentoring junior engineers and leading technical initiatives; Strong communication skills for cross-functional collaboration; Experience with Agile methodologies and project management; Ability to translate business requirements into technical solutions. Will be a plus: Experience in financial services, fintech, or data intelligence companies; Background in consumer retail, digital media, or technology verticals; Advanced degree in Computer Science, Statistics, Mathematics, or related field. What we offer: 20 days of vacation; Public holidays; Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues); The exchange of experience and work with talented colleagues; Last but not least - valuable compensation for your efforts.

Globaldev Group1 дн назад

Engineering Coordinator (Construction)

Location: Ukraine; Poland M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. We come to work every day to create actionable insights from alternative data. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations. We’re looking for exceptional data engineers who will work with petabytes of data daily using diverse technologies like Databricks, SQL, Python, Airflow, and others. You will be expected to effectively partner with upstream engineering teams and downstream consumers, including analysts and product engineers. In this role, you will build datasets to support analytics, experimentation, and machine learning. Specifically, you will build out standards for pipelining at scale, including establishing common operators, workflows/DAGs, and optimizing existing products. NOTE: This role requires flexible working hours to ensure at least 2 hours of overlap with colleagues based on both the US East Coast and West Coast. Expected working schedule: 12:00–20:00 CET. Responsibilities: Manage and improve pipeline for cleansing, filtering, and structuring raw datasets for the purposes of company and customer analysis. Implement QA procedures to proactively identify data anomalies and issues. Implement new products and features created by analyst teams using best practices. Work with other team members and internal stakeholders on infrastructure projects, documentation, QA and code reviews. Build and manage Repos. Continuously seek opportunities to standardize code and automate production pipelines. Create and contribute to frameworks that improve the efficacy of logging data, while working with infrastructure to triage issues and resolve. Mentor team members by giving/receiving actionable feedback. Requirements: 3-7 years of experience as a data engineer. Preference given to those that have worked in a similar type role within a data intelligence company or within our desired verticals including consumer retail & brands, digital media and technology. Expertise in data engineering in a cloud environment (Python, Databricks, AWS, Airflow, Snowflake, SQL). SQL & Python required. Working knowledge of PySpark and distributed computing. Strong people and management skills to interact with product managers and data analysts. Familiarity with software development methods such as Scrum and TDD. General project management skills. Ability to clearly articulate project plans, technical requirements, methodologies, and takeaways to both technical and non-technical stakeholders. Bachelor’s or higher degree, or significant experience in Statistics, Mathematics, Computer Science, or a similar quantitative discipline. Ability to thrive in a culture of quality and personal accountability. What we offer: 20 days of vacation. Public holidays. Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues). The exchange of experience and work with talented colleagues. Last but not least - valuable compensation for your efforts.

Crystalia Glass1 дн назад

Location: Serbia; Ukraine; Armenia; Tbilisi, Georgia; Almaty, Kazakhstan; Astana, Kazakhstan We’re hiring an Engineering Coordinator to support our fast-paced installation team. You’ll coordinate daily tasks, manage schedules, and communicate with both field crews and clients — while also applying your technical understanding to ensure projects are installation-ready. Key Responsibilities: Assign daily tasks to field teams and track progress in ClickUp Communicate with clients about visit schedules, delays, or rescheduling Verify technical readiness of openings before installation (measurements, drawings, materials) Review shop drawings or specifications to identify potential issues before dispatch Ensure crews are prepared with the correct materials, glass, and hardware Book hotels for traveling installers Monitor vehicle mileage and documentation (registration, insurance) Support project managers with coordination and issue tracking Review quality of completed work and report problems if needed Requirements 1+ year of experience in construction or engineering coordination Engineering or technical background (construction, architecture, or related field) Confident English (B2+ or above) and Russian C1 Strong communication and organizational skills Ability to read and understand basic technical drawings and measurements Comfortable using task management tools (ClickUp or similar) Benefits Fully remote job opportunity. 8.30 AM - 5 PM EST (NY time zone). Competitive compensation package based on experience and performance. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market. Transparent career growth opportunities with a focus on professional development. B2B contract.

УдалённоSerbia; Ukraine; Armenia; Tbilisi, Georgia; Almaty, Kazakhstan; Astana, Kazakhstan; 8.30 AM - 5 PM EST (NY time zone)

DataArt1 дн назад

Technical Support Engineer

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Remote.KZ, Kazakhstan; Yerevan, Armenia We are looking for a Technical Support Engineer to join our team and provide technical and operational support for business applications and processes. The project is centered on building an asset management system for the investment domain using advanced data solutions and real time insights. It supports informed decision making and handles large data volumes in a collaborative environment. Provide day-to-day support to business users, helping them troubleshoot and resolve application-related issues. Support business and system processes, ensuring the smooth and reliable operation of applications. Work directly with client organisations to investigate issues, address requests, and ensure effective communication. Collaborate with internal teams to manage and resolve support tasks and technical issues. Escalate complex issues to relevant stakeholders and coordinate follow-up activities through to resolution. Track, prioritise, and manage incidents and support requests using Jira or similar task management tools. Work with databases, investigate data-related issues, and write complex SQL queries for troubleshooting and analysis. Provide support for both desktop and web-based applications. Assist with reporting activities, including investigating discrepancies and validating report outputs. Work with data files, performing data checks, troubleshooting data-related issues, and supporting data processing activities. Bachelor's degree in Information Technology, Computer Science, or a related field. At least 2 years of experience in application support, technical support, or a similar role, preferably within banking, financial services, fintech, or another business-critical environment. Experience providing technical support to business users and supporting business or system processes. Experience working with client organisations and communicating with internal and external stakeholders. Practical experience using Jira or similar task and issue management tools. Good knowledge of databases and the ability to write and troubleshoot complex SQL queries. Experience supporting desktop and web-based applications. Experience working with reports, data files, and data validation. Strong analytical and problem-solving skills, with the ability to investigate issues and identify root causes. Good communication and collaboration skills, with the ability to manage multiple tasks and escalate issues appropriately. A proactive, detail-oriented approach and the ability to work effectively both independently and as part of a team. Previous experience in banking, fintech, or financial services environments. Familiarity with incident management and support processes. Experience working with data-intensive applications and business reporting systems.

Polygon Labs1 дн назад

AI Platform Engineer

Location: EMEA - Remote; USA - Remote Workplace: Remote ABOUT POLYGON LABS Polygon Labs is a global blockchain payments company building and operating infrastructure to move money instantly, reliably, and at internet scale, with the mission to move all money onchain. It is building the Polygon Open Money Stack, an open and integrated stack of services and technologies to instantly and reliably move money anywhere, and put it to work. Its infrastructure has facilitated trillions of dollars in onchain value transfer and supported millions of transactions daily for some of the globe's largest banks, fintechs, enterprises, and consumer applications. AI PLATFORM ENGINEER ABOUT THE ROLE We are hiring an AI Platform Engineer to help build the platform that powers every agent at Polygon Labs. Polygon is a cryptocurrency company focused on on-chain payments infrastructure. As we shift to having agents manage the majority of work across engineering, business development, compliance, support, and finance, people will supervise and guide those agents while making key decisions. You will join a small, flat Platform Team reporting to the AI Platform Lead. This team owns the entire AI platform, including the agent runtime, MCP servers, guardrails, evaluations, observability, and spend tracking. The team proactively identifies opportunities where AI can accelerate, improve, or automate work company-wide—including tasks that haven’t yet been automated. Our internal customers are Operators: domain experts in every function who manage fleets of agents and define standards of quality. This is a hands-on IC role, where you will write code, ship to production, and take ownership of your deliverables. YOUR RESPONSIBILITIES - Move agentic workflows into production, taking prototypes to robust systems for real users and owners, with SLAs (e.g. spec-to-PR agents, AI code review, incident triage, KYB review). - Build and manage MCP servers, including system design, hosting, security, authentication (e.g. per-user OAuth), and keeping a clean connector inventory for Slack, GitHub, Jira, HubSpot, and internal services. - Develop autonomous agents that act and plan across tools through trust stages: shadow, suggest, execute, and autonomous. - Embed guardrails into the platform, providing each agent its own identity, scoped credentials, audit logs, CI checks, approval gates, allowlists, and least-privilege access. - Build evaluation frameworks (test sets, regression suites, live scoring in production) so every agent releases with quality metrics tied to business outcomes. - Instrument agents for observability: tracing, logging, latency, cost, drift detection, and daily dashboards for Operators. - Track AI spend across providers (Anthropic, OpenAI, OpenRouter), setting budgets, alerts, and spend attribution to teams, agents, and workflows. - Support Operators by developing features from their requests, writing documentation, running enablement sessions, and building self-service tools. - Create skills and plugins centralizing company knowledge (processes, standards, security, brand), versioning and reviewing these to ensure consistent, repeatable agent output. - Proactively find and automate manual, repetitive processes across the company, measuring outcomes and iterating rapidly. WHAT YOU'LL NEED - 5+ years as a software, platform, or infrastructure engineer, including experience prior to AI coding tools. Solid grasp of system design, data modeling, testing, debugging, and code review. - 6-12 months shipping LLM-based systems to production, with agentic workflows in use by real end users. - Daily, hands-on experience with AI coding agents like Claude Code and Codex to write, test, and review production code. - Experience building autonomous or multi-step agents with tool use (Claude Agent SDK, Anthropic/OpenAI APIs, or similar). - MCP server experience (OAuth flows, scoped tokens, user-level access control). - Identity and access experience: Okta (or similar IdP), SSO (SAML/OIDC), SCIM provisioning, group-based and device policies. - Creating automated system identities (GitHub Apps, service accounts, API keys, secret managers like 1Password). - Designing guardrails: least-privilege, audit logs, CI checks, approval gates, allowlists, and policy-as-code. - Creating evals for LLM systems: test sets, rubrics, CI regression, release gates, and live production scoring. - Instrumenting production system observability: tracing, metrics, alerting, dashboards (OpenTelemetry, Grafana, Datadog, Langfuse, LangSmith, Braintrust). - Tracking AI spend across vendors: per-key limits, cost centers, budgets, actionable alerts. - Strong in at least one of TypeScript, Python, Go; working knowledge of CI/CD (GitHub Actions/etc), cloud infrastructure. - Track record of independently identifying and automating manual processes (two or three concrete examples). - Clear, concise written communication (specs, runbooks, RFCs). PREFERRED QUALIFICATIONS - Cryptocurrency, blockchain, payments, or fintech experience (regulated industry/audit a plus). - Experience writing agent skills, plugins, or shared prompt libraries for organizational reuse. - Familiarity with model gateways (OpenRouter, LiteLLM, Portkey): key management, routing, fallback. - Experience extending open-source coding agents (OpenCode, Pi). - Awareness of emerging agent identity standards (MCP enterprise-managed auth, Okta Cross App Access). - Context/retrieval engineering: vector stores, agent memory, permissioned retrievals. - ML engineering: model evaluation, fine-tuning, model routing. - Experience with agent runtimes/sandboxes (Modal, n8n, containerized environments). - Public technical work: open-source tools, servers, blog posts, talks about agent production experience. HOW YOU’LL WORK - Treat Operators as the customer—supporting engineers and non-engineers in every business function. - Listen to needs, refine vague asks into actionable requirements, and communicate technical concepts plainly to executives or subject matter experts. - Assertively but diplomatically push back on unsafe or low-value requests, suggesting alternatives. - Operate autonomously: write specs, break down projects, ship and iterate independently, and communicate progress asynchronously across time zones. - Use judgment to distinguish critical automations from temporary demos, and validate changes with affected users. - Own outcomes post-merge: pilot, monitor, fix, and iterate as needed. - Work transparently in public channels, tickets, written docs, and runbooks. - Create reusable assets (skills, plugins, templates, tools) from frequent learnings or solutions, making them broadly accessible across the company. SUCCESS IN 90 DAYS - 30 days: Ship production changes to a live system (e.g. AI SDLC pipeline, code review, or spend analytics). Gain familiarity with agent runtime, MCP servers, spend tracking. - 60 days: Take end-to-end ownership of a platform area, publishing a spec and meeting with relevant Operators. - 90 days: Ship an agent with live-scored eval suite and Operator dashboard; complete an Operator request independently; propose and launch at least one unsolicited automation. POLYGON LABS PERKS The goal of the Polygon Labs total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes the following benefits for our full time employees: - Remote first global workforce - Industry leading Medical, Dental and Vision health insurance* - Company matching 401k with 3% match* - $1,500 Home Office Set Up Allowance (life-time max) - $200 Annual Book Allowance Program - $75 Monthly internet or phone reimbursement - Flexible Time Off - Company issued laptop - Egg freezing, mental health, and employee wellness benefits *In certain countries medical, dental and vision is fully covered for employees & their dependents. This is country and plan specific. *401k is for United States employees only Polygon Labs is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Polygon Labs is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit. Learn More about Polygon Labs Website https://polygon.technology/ |Twitter https://twitter.com/0xPolygon|Telegram https://t.me/polygonofficial |Reddit https://www.reddit.com/r/0xpolygon/ |Discord https://discord.gg/0xpolygoncommunity |Instagram https://www.instagram.com/0xpolygon/ |Facebook https://www.facebook.com/0xPolygon.Technology |LinkedIn https://www.linkedin.com/company/13449964/admin/

Все вакансии в одном месте - страница 29 · Job Hunters

25 088 вакансий по запросу «Engineering,»Сначала свежие

Checkout.com1 дн назад

Engineer I, Operations Center

ОфисHome-based, Mauritius

Крупная российская IT-компания15 дн назад

Head of Engineering / Директор по разработке

Компания не указана1 дн назад

MLOps / Cloud Engineer (AWS)

Задачи: — Подключать новые источники данных — Разрабатывать и модернизировать существующие решения

География найма не уточнена

Andersen Lab1 дн назад

seniorГеография найма не уточнена

Sentry1 дн назад

Engineering Manager, Data Platform

Sentry1 дн назад

Engineering Manager, Infrastructure

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry's Infrastructure Engineering team focuses on making operating Sentry simple, safe, and seamless for the rest of the engineering organization. The team builds and operates foundational infrastructure, internal control and configuration systems, and the tooling and automation that allow engineers to deploy, manage, and safely operate production services at scale without needing to understand the underlying infrastructure complexity. As the Engineering Manager for Infrastructure Engineering, you'll lead a team of engineers building the foundational infrastructure, internal control systems, and developer-facing tools that enable Sentry's engineering teams to operate production services safely and efficiently at scale. This team focuses on making infrastructure easier to use and manage through automation, self-service tooling, and software abstractions that reduce operational complexity. You'll be responsible for the team's technical direction, execution, reliability, and growth, while partnering with engineering teams across Sentry to identify and solve shared infrastructure challenges. You'll work closely with leaders across Infrastructure, Platform, and Production Engineering to shape how Sentry scales its infrastructure and operational model as the company grows. IN THIS ROLE YOU WILL - Lead a team of engineers building and evolving the shared infrastructure, internal control systems, and developer-facing tools that Sentry's engineering teams rely on. - Drive improvements to infrastructure automation, configuration management, production safety, and developer self-service, making complex infrastructure easier and safer to operate. - Define and execute the team's technical roadmap, working with senior engineers to make sound architectural decisions and prioritize investments in reliability, scalability, and operational efficiency. - Develop engineers at different levels through coaching, mentorship, clear expectations, and opportunities for technical growth and ownership. - Build a healthy, high-performing team culture focused on accountability, continuous improvement, and delivering measurable impact. - Partner with Production Engineering, SRE, Developer Infrastructure, and other engineering teams to identify shared infrastructure challenges, establish standards, and improve developer workflows. - Balance operational needs with longer-term platform investments, reducing manual work and building scalable solutions rather than relying on one-off fixes. - Own the reliability, adoption, and ongoing evolution of the team's platforms and tools, ensuring they deliver meaningful value to the engineers who depend on them. YOU'LL LOVE THIS JOB IF YOU - Enjoy building infrastructure platforms and tools that make operating complex production systems simpler for other engineers. - Like solving infrastructure challenges through software engineering, automation, and self-service abstractions rather than relying on manual operations. - Believe in using proven technologies and choosing reliable, maintainable solutions over unnecessary complexity. - Think about scalability, reliability, and cost efficiency from the beginning, and prefer building solutions that serve many engineering teams rather than one. - Enjoy working across engineering organizations, understanding different teams' needs, and influencing technical decisions and platform adoption. - Take pride in developing engineers, building strong teams, and creating opportunities for people to take on greater technical ownership. - Value clear priorities, measurable outcomes, and delivering infrastructure improvements that make a lasting difference. - Want to work on technically challenging infrastructure problems while helping shape the team's long-term direction. QUALIFICATIONS - 10+ years of software engineering experience, ideally with a focus on infrastructure engineering, platform engineering, distributed systems, or infrastructure automation. - 4+ years of engineering management experience, including leading, developing, and growing teams of software engineers. - Experience leading the architecture, development, or evolution of shared infrastructure platforms, internal developer platforms, or distributed production systems. - Strong software engineering foundation, with experience in backend or systems programming languages such as Python, Go, Rust, or similar. - Hands-on technical experience with cloud infrastructure and familiarity with Kubernetes, Terraform or similar infrastructure-as-code tooling, and infrastructure automation. - Experience building or operating production infrastructure, with an understanding of reliability, scalability, operational risk, and incident management. - Demonstrated ability to define technical direction, evaluate architectural tradeoffs, and lead complex engineering initiatives from planning through delivery. - Experience coaching engineers, developing technical leaders, and building healthy, accountable engineering teams. - Strong technical communication skills and a track record of influencing decisions and aligning priorities across engineering teams and leadership. - Comfortable working across organizational boundaries and partnering with infrastructure, platform, and product engineering teams. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Сбер1 дн назад

Data engineer в команду GigaChat (TTS)

Москва

Perplexity1 дн назад

Perplexity1 дн назад

Member of Technical Staff (Site Reliability Engineer, Crawler)

Perplexity1 дн назад

London; Belgrade; Ireland

Perplexity1 дн назад

Member of Technical Staff (Site Reliability Engineer, Crawler)

London; Belgrade; Ireland

Perplexity1 дн назад

Perplexity1 дн назад

Globaldev Group1 дн назад

Senior Data Engineer

Globaldev Group1 дн назад