Вакансии

Задачи: — Участие в проекте по data engineering, разработке и миграции конвейеров данных в облачной среде. Требования: — Опыт работы в Data Engineering. — Практические знания Python и Databricks. — Опыт построения, поддержки и миграции data pipelines. — Опыт работы с потоковыми решениями, такими как Azure Event Hub и Apache Kafka. — Знание технологий обработки данных в реальном времени, включая Apache Druid и Apache Storm. — Хорошее понимание облачных платформ данных, предпочтительно Microsoft Azure. Дополнительные преимущества: — Знание Java для работы с существующими системами и legacy-кодом. — Опыт в веб-аналитике. — Опыт внедрения CI/CD. — Опыт в DevOps / DataOps. — Участие в инициативах по миграции данных. — Знакомство с Agile / Scrum. Условия: — Старт: ASAP / сентябрь 2026. — Контракт до 31 декабря 2026. — Полная занятость (100%). — Полностью удалённая работа (EU Remote). — Требуемый уровень английского: C1 (немецкий — плюс). — Методология работы: Scrum.

Задачи: — Разбирать и обрабатывать документы в форматах Excel, PDF и сканы — Извлекать табличные данные из документов — Нормализовать даты, номера документов, суммы и другие поля — Проектировать и реализовывать логику сопоставления данных — Выявлять расхождения между двумя источниками — Обрабатывать сложные кейсы: разные периоды, отличающиеся номера, частичные совпадения и другие неоднозначные ситуации — Интегрировать OCR и Document AI-инструменты — При необходимости использовать LLM для интерпретации и формирования человекочитаемых объяснений — Разрабатывать backend/API для сервиса — Участвовать в проектировании архитектуры MVP — Работать с реальными обезличенными финансовыми документами и тестировать качество решения на исторических данных Требования: — Коммерческий опыт разработки на Python от 3 лет — Уверенное владение Python — Опыт работы с pandas и табличными данными — Опыт обработки Excel / CSV — Опыт парсинга PDF — Опыт разработки backend-сервисов и REST API — Понимание алгоритмов сопоставления, нормализации и очистки данных — Умение проектировать решение самостоятельно, а не только работать по готовому ТЗ — Опыт работы с Git Будет плюсом: — Опыт с OCR: Tesseract, PaddleOCR или аналогами — Опыт с PyMuPDF, pdfplumber, Camelot, Tabula — Опыт с fuzzy matching — Опыт работы с Document AI / Intelligent Document Processing — Интеграция LLM API: OpenAI, Azure OpenAI, YandexGPT или аналогов — Опыт разработки систем reconciliation / data matching — Опыт работы с финансовыми, бухгалтерскими или другими структурированными документами — Опыт On-Premise решений — Опыт построения решений, где нужно сочетать детерминированную бизнес-логику и AI

Location: Bulgaria; Croatia; Cyprus; Finland; Hungary; Ireland; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovenia; Sweden What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Remote, Japan GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Professional Services Engineer at GitLab, you'll work directly with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You'll lead engagements from single-node Omnibus installs to large reference architectures built with infrastructure as code (IaC) and configuration as code. You'll also guide migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. In this role, you'll work closely with customers and GitLab's product and engineering teams to drive customer success and share feedback that improves GitLab and how we deliver services. You'll manage multiple projects at once, mentor other Professional Services Engineers, and help streamline how we deliver consistent outcomes in a remote, largely asynchronous environment. Some examples of our projects: Designing and delivering GitLab installations and reference architectures using tools like Terraform and Ansible across major cloud providers Leading migrations to GitLab SaaS or self-managed GitLab, and turning customer feedback into actionable improvements for GitLab's product and engineering teams What you’ll do Deliver GitLab Professional Services engagements, including installation, migration, training, and advisory services across GitLab capabilities. Plan and execute deployments ranging from single-node Omnibus installations to large reference architectures using Infrastructure as Code and Configuration as Code practices. Lead migrations from multiple source systems to GitLab SaaS or self-managed GitLab, helping customers adopt secure, reliable workflows. Partner with Engagement Managers and Project Managers to improve delivery consistency, remove friction, and continuously refine delivery processes. Serve as a trusted technical advisor for customers, translating goals and constraints into practical implementation plans and clear next steps. Interface with GitLab's product and engineering teams to unblock customer outcomes and share feedback that helps improve GitLab features and services. Mentor Associate and Intermediate Professional Services Engineers, providing technical guidance, helping remove blockers, and supporting increased autonomy. Manage and deliver multiple customer engagements at once, either as the primary engineer or as a lead providing oversight and direction to other engineers. What you’ll bring Professional exposure with one or more infrastructure as code or configuration as code technologies such as Terraform, Ansible, Packer, Puppet, or Chef. Professional exposure with two or more cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. Experience using, deploying, or configuring GitLab, including a solid understanding of Git and source control workflows. Experience delivering customer-facing services such as installation, migration, training, and advisory engagements across GitLab's feature set. Proven ability to independently manage one or more projects and to lead and provide direction to other Professional Services Engineers on complex engagements. Strong communication skills in English, written and verbal, with the ability to provide clear status updates and build consensus with peers and customers in a remote, largely asynchronous environment. Demonstrated ability to take a solution-oriented approach by identifying root causes, proposing options and tradeoffs, and driving issues to resolution while balancing multiple customer engagements in a fast-paced environment. Demonstrated ability to work effectively in a fully remote organization by communicating clearly in writing, documenting decisions, collaborating asynchronously across time zones, and working in ways consistent with GitLab's values. Must be located in Japan and have full working rights in Japan About the team Senior Professional Services Engineers are part of GitLab's Professional Services team. We partner closely with Engagement Managers and Project Managers to deliver consistent outcomes, and we work with GitLab's product and engineering teams to share customer feedback and improve GitLab. Professional Services operates in a fully remote and largely asynchronous environment, collaborating across regions and time zones. The team's challenge is to support customers with a wide range of architectures and deployment models while maintaining high-quality delivery and setting customers up for long-term success. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States; Canada Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As a Senior Security Engineer, Offensive Security, you'll help drive offensive security at Docker, putting our products, platforms, and cloud infrastructure under realistic adversarial testing to surface and drive out attack paths before real adversaries find them. You'll partner with engineering, product, and leadership to turn findings into durable fixes and to shape how security is designed into every Docker product. You'll apply your expertise in penetration testing, threat modeling, and exploit development to find and eliminate risks across Docker products and infrastructure. Working across cloud infrastructure (AWS, GCP, Azure), containerized environments, and AI/ML products, you'll implement proactive security solutions that scale with Docker's growth. This role offers the opportunity to help improve security programs at a company whose products are trusted by millions of developers worldwide. You'll work in a fast-paced, technically challenging environment where your security expertise directly impacts both Docker's platform and the broader container ecosystem. _______________________________________________________________________ RESPONSIBILITIES - Contribute to security initiatives that align with business goals, helping ensure security is a core component of our products and infrastructure - Support and help implement key security programs such as automated security design reviews, and vulnerability management - Build deep knowledge of software security and architecture, and act as a go-to resource for engineering teams - Partner with engineering to design and implement security architecture and controls across Docker products and platforms - Plan, scope, and execute penetration tests and red-team / adversary-emulation engagements against Docker's products and services - Develop proof-of-concept exploits and produce clear, risk-rated findings with actionable remediation guidance, then retest fixes to confirm closure - Build and maintain offensive security tooling and automation to expand testing coverage and repeatability - Perform security reviews and threat modeling (design, architecture, and code) across Docker products and services, including emerging AI products, and write automated security tests and exploits - Serve on rotating on-call schedule to respond to security events, investigate threats, and coordinate remediation efforts - Educate and collaborate with cross-functional teams (e.g., engineering, product) to promote security practices - Participate in Security Incident response _______________________________________________________________________ QUALIFICATIONS - Have 3+ years in security engineering, including hands-on offensive security and penetration testing across applications and infrastructure - Possess 2+ years of hands-on development experience in Python or Golang - Demonstrate deep expertise in authentication, authorization, including technologies like OAuth, cryptography applications and Zero Trust principles. - Have strong hands-on experience with securing cloud ecosystems (e.g. AWS, GCP, Azure) - Have hands-on penetration testing experience across SaaS web applications and APIs., including manual exploitation beyond automated scanners - Are proficient with offensive tooling and techniques such as. Burp Suite, and OWASP frameworks - Can write security tests and develop exploits and proof-of-concepts that find real vulnerabilities in a product - Understand AI/ML security risks and mitigations, including prompt injection, data poisoning, model extraction, and adversarial attacks - Have practical experience using LLMs and agentic tooling to automate vulnerability discovery, reconnaissance, and pentesting workflows - Have a track record of building security programs and automations from scratch, applying risk-based prioritization - Have experience performing security reviews and building or improving security review automation - Have excellent communication skills, allowing you to explain complex security concepts clearly to technical and non-technical stakeholders - Understand industry standards, and actively keep up with emerging security technologies and models - Are a team player who drives security change via collaboration and cross-functional partnerships - Hold offensive security certifications such as OSCP, OSWE, OSEP, GXPN, GPEN, or CRTO - Have published CVEs, original security research, or conference talks Bonus if you: - Have experience with container escape, Kubernetes attack paths, or cloud red teaming - Have experience testing AI/ML systems for issues like prompt injection, model extraction, and data poisoning _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS: - Meet with security team and key partners across engineering - Gain access to team owned systems, and internal documentation - Complete security awareness training and compliance onboarding - Review application architecture, tech stack and data flow - Review risk registry and annual roadmap - Familiarize oneself with team workflows and processes - Shadow a fellow security engineer during their on-call/secops rotations FIRST 90 DAYS: - Conduct security review on emerging Docker products - Scope and execute your first penetration test against a Docker product or service - Actively participate in architecture design reviews with the team - Contribute to a Security-owned project or initiative - Collaborate with Docker developers to validate and resolve discovered vulnerabilities - Enhance incident response capabilities by participating in on-call rotation and post-incident activities - Create and maintain security documentation and runbooks FIRST YEAR OUTLOOK - Contribute to the security roadmap for improving security controls - Strengthen Zero Trust architecture and least privilege access controls - Enhance security monitoring and anomaly detection - Perform security reviews for major product releases - Own and run recurring penetration tests and adversary-emulation exercises across Docker products, and engage with external researchers - Support audits and ensure compliance with SOC 2, ISO 27xxx - Advocate for “security by design” in all product features - Become well versed in Docker products and emerging AI technologies Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$271,150 – CA$434,000 base United States: $194,150 – $312,950 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows that identify and manage agent failures before they reach users. Instrument agent systems for traceability and observability, including agent actions, model behavior, token and cost usage, latency, and system performance. Design and maintain state and memory across long-running workflows and implement model routing, retries, idempotency, and other patterns required for reliable production systems. Build and deploy AI solutions using cloud platforms and services such as: Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, or related Azure technologies; Amazon Bedrock, Lambda, ECS, EKS, or related AWS technologies. Apply strong software engineering practices using Python, Java, APIs, containers, source control, automated testing, and CI/CD. Work directly with client engineering and security teams through architecture reviews, threat modeling, security reviews, audits, and other enterprise delivery requirements. Evaluate when agentic architectures are appropriate and when deterministic pipelines, traditional machine learning, or other approaches are more reliable and cost-effective. Turn successful approaches from client engagements into reusable patterns and solutions that can be applied across Zeal. Build trust with clients and internal teams through strong communication, technical judgment, problem-solving, and execution. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a strong software engineering foundation, hands-on experience building agentic AI systems in production, and a keen interest in consulting. Agentic AI: Hands-on experience designing and shipping production agent systems involving tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures. You can explain the architectural decisions you made, what failed, and what you learned. Evaluation & Reliability: Real-world experience evaluating agent behavior and measuring system failures, including building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and other mechanisms that prevent or mitigate errors. Cloud Technologies: Deep hands-on experience with either Azure or AWS and the AI and infrastructure services surrounding them, such as Azure OpenAI, AI Foundry, AI Search, AKS, Amazon Bedrock, Lambda, ECS, or EKS. Software Engineering: Strong proficiency in Python or Java, API design, containers, automated testing, source control, and CI/CD, with enough machine learning knowledge to determine when traditional ML or deterministic approaches are more appropriate than an LLM. Enterprise Delivery: Experience delivering software within large organizations and working through requirements such as role-based access, data isolation, security reviews, compliance, change control, and production governance. Agent Observability: Experience designing systems for traceability, state and memory management, model routing, latency and cost visibility, retries, idempotency, and other operational concerns associated with production agent systems. Communication: Excellent verbal and written communication skills and the ability to explain complex AI systems, architectural decisions, risks, and tradeoffs to both technical and non-technical stakeholders. Problem-Solving: Strong technical judgment and a demonstrated willingness to challenge assumptions, including recognizing when an agentic solution introduces unnecessary complexity and a deterministic approach would be more appropriate. Experience with MCP and emerging tool-interoperability standards, evaluation frameworks such as RAGAS, fine-tuning, model distillation or optimization, and highly regulated industries such as financial services, insurance, healthcare, or manufacturing is helpful, but not required. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding DevOps Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are an automation-minded engineer who cares about reliability, repeatability, and treating infrastructure as code. You communicate clearly with development teams and stakeholders, and you take pride in building systems that deploy smoothly and stay healthy in production. You are curious about new tools—including AI tools that improve your productivity—and you thrive in a consulting environment where clients and priorities shift. What you will be doing Design, build, and maintain CI/CD pipelines using Jenkins and GitHub Actions. Provision and manage infrastructure as code with Terraform and configuration management with Ansible. Containerize and orchestrate applications with Docker, Kubernetes, and Helm. Automate operational tasks with Python, Bash, PowerShell, and YAML. Build monitoring and observability with Prometheus and Grafana. Operate and optimize workloads across cloud platforms (AWS, Azure, GCP). Partner with development teams to improve deployment, reliability, and security. Troubleshoot, monitor, and document new and existing infrastructure. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table Strong scripting skills (Python, Bash, PowerShell) and comfort with YAML. Experience with infrastructure as code (Terraform) and configuration management (Ansible). Hands-on experience with CI/CD tooling (Jenkins, GitHub Actions). Experience with containers and orchestration (Docker, Kubernetes, Helm). Experience with monitoring and observability tools (Prometheus, Grafana). Working knowledge of at least one major cloud platform (AWS, Azure, or GCP). Excellent written and verbal communication skills, along with the ability to use AI tools to improve productivity. Bonus points if you… Experience across more than one cloud platform (AWS, Azure, and GCP). Experience with GitOps workflows. Security and compliance automation experience. A background in a consulting or client-facing environment. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales. This is a full-time, fully remote position. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll D o Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking Fo r 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skill s Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Security Engineering team, you will be a founding member of the team and define and drive the technical strategy for identity and access at Harvey — both how customers authenticate to Harvey, as well as how internal employees, contractors, and non-human identities access company systems, what they are authorized to do, and how seamlessly access adapts as needs change. Challenges ahead include exploring how AI-powered access management can understand employee needs, recommend appropriate permissions, streamline decisions, and adapt access as roles and responsibilities evolve, as well as shaping an end user/agent authentication experience that makes signing in to Harvey fast, consistent, reliable, and secure across every surface where our customers work. You will operate at the boundary of security, infrastructure, and product engineering — turning ambitious business and technical requirements into durable identity platforms, clear architectural direction, and exceptional user experiences. This role is hands-on, but its primary leverage comes through technical direction, platform adoption, cross-functional alignment, and enabling other engineers to build on strong identity foundations. WHAT YOU'LL DO - Define Harvey's multi-year technical strategy for identity, authentication, authorization, and privileged access. - Design and build complex identity systems from greenfield — writing the code, instrumenting it, and owning it in production. - Lead the architecture and execution of cross-functional initiatives to right-size access at scale, spanning identity and authentication, permissions and authorization, entitlement modeling, and access controls. - Extend the identity model to non-human and agentic identities, so that AI agents acting on behalf of users are authenticated, scoped, and auditable. - Serve as the technical authority for identity and access architecture and guide major design reviews, investment decisions, and long-term roadmaps. WHAT YOU HAVE - 10+ years experience building and operating production software, with demonstrated impact across multiple teams or technical domains. - Deep expertise in several identity and access engineering domains — authentication, federation, authorization, entitlement modeling, or privileged access. - Fluency with AI: you use AI-assisted development tools effectively while applying strong engineering judgment, and you design agentic workflows that automate repetitive toil and improve how teams operate. - Experience designing identity or authorization platforms, libraries, or abstractions used by other engineering teams. - Experience delivering foundational systems that achieve meaningful adoption and improve organizational or customer outcomes. - Experience with cloud infrastructure, such as Azure, Google Cloud Platform, or Amazon Web Services, and modern distributed-system patterns. - Strong communication skills and the ability to create alignment across technical and non-technical stakeholders. NICE TO HAVE - Experience with System for Cross-domain Identity Management (SCIM), OpenID Connect (OIDC), Security Assertion Markup Language (SAML), policy engines such as Open Policy Agent (OPA) or Cedar, Zanzibar-style authorization systems, or hardware-backed credentials. - Experience with identity governance and administration (IGA) or privileged access management (PAM) platforms, and with automating joiner, mover, and leaver workflows. - Experience building identity platforms or programs at a hyper-growth startup. - Experience with regulated environments such as FedRAMP, including phishing-resistant authentication and authenticator assurance requirements. COMPENSATION $231,000 - $340,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Задачи: — Разработка и внедрение AI/ML решений с использованием LLM, Python и связанных технологий — Работа с production-grade LLM, RAG, NLP, embeddings и векторными базами данных — Парсинг документов, извлечение информации и обработка больших объемов текста — Использование LangChain, LangGraph, CrewAI, Claude Code — Работа с облачными сервисами AWS SageMaker, Bedrock, EC2, Lambda, Azure AI, OpenAI — Использование MLflow, W&B, CI/CD, Docker, Kubernetes для управления ML-процессами — Оценка AI моделей, улучшение и обеспечение наблюдаемости — Руководство командой, наставничество и коммуникация Требования: — Опыт работы в AI/ML инженерии от 3 лет — Знание Python, SQL, NumPy, Pandas, Scikit-learn, PyTorch или TensorFlow — Опыт работы с LLM, NLP, embeddings, векторными базами данных — Знание LangChain, LangGraph, CrewAI, Claude Code — Опыт работы с AWS и Azure AI сервисами — Навыки работы с MLflow, W&B, CI/CD, Docker, Kubernetes — Высшее образование в технической области Условия: — Работа в офисе, 5-дневная рабочая неделя — Локации: Hyderabad, Ahmedabad, Indore — Максимальный срок уведомления о выходе на работу: 15 дней — Процесс интервью: 3 технических/менеджерских раунда + обсуждение CTC Для отклика необходимо предоставить: — Имя кандидата, обновленное резюме, общий опыт, релевантный опыт AI/ML — Количество реализованных production AI/ML систем — Текущая компания и должность, текущее и ожидаемое вознаграждение — Местоположение и предпочтительное место работы — Наличие офферов, причина смены работы, готовность к немедленному выходу — Контактный номер, профиль LinkedIn, релевантные навыки AI/ML и LLM

EDB provides a data and AI platform enabling organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud. The company supports over 1,500 customers globally, including government organizations, financial services, media, and IT companies, offering enterprise-grade open source technologies with high availability and mission-critical capabilities such as security, compliance controls, and observability. The position is 100% remote. The role involves designing, implementing, and maintaining the EDB Postgres Distributed (PGD) product, a multi-master distributed PostgreSQL solution providing high availability, geographic distribution, and active-active replication for enterprise workloads. Responsibilities: — Design, develop, test, and document new PGD capabilities — Maintain and improve performance and usability of existing PGD capabilities — Analyze business requirements and translate them into executable tasks — Provide world-class production support to PGD customers — Participate in code reviews and collaborate with a globally distributed team Requirements: — 5+ years of software engineering experience — Strong proficiency in C programming — Experience with PostgreSQL internals (storage engine, WAL, replication, catalog system, or extension development) — Understanding of distributed systems concepts including replication topologies, consensus, conflict resolution, eventual consistency, and failure modes — Experience with multi-version/multi-branch codebases and active backporting workflows — Familiarity with build systems and CI/CD practices — Comfortable working with Git on large, long-lived codebases with complex branching — Strong debugging and performance analysis skills Advantages: — Prior contributions to PostgreSQL or other open-source database projects — Experience with logical replication, logical decoding, or custom replication solutions — Knowledge of distributed consensus algorithms such as Raft — Familiarity with PostgreSQL extension API and hook system — Experience with high availability architectures and failover mechanisms — Experience with Python and Rust — Experience with major cloud providers: AWS, Azure, GCP — Experience with Ansible, Docker, and Kubernetes EDB supports employee well-being with benefits including access to health and wellness resources and Wellness Fridays through December 2026. EDB is an equal opportunity employer committed to diversity, inclusion, trust, and respect. EDB does not accept unsolicited resumes from recruitment agencies without a signed agreement.

Location: San Francisco, CA, USA About the Role As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime. You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company. Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture. This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress. In this role, you can expect to Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pipelines, connectors, and the infrastructure that moves first-party and third-party data into and out of Chime's ecosystem. Stay hands-on through architecture, design and code reviews, and targeted production contributions focused on the highest-leverage platform problems, while coaching engineers and owning team execution. Design and evolve scalable, high-performance integration architecture that balances reliability, cost, and ease of use for both analytical and in-product data flows. Build and operate reliable connectors and pipelines for diverse sources and sinks across APIs, event streams, file transfers, and change-data-capture. Ensure performant and secure data movement by defining ingress/egress patterns, throughput and latency targets, schema evolution, and error handling / replay for key data flows. Collaborate across the Data Intelligence Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, the integration layer, and consumers including external partners. Build tooling and automation for governance and compliance across sources and sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability), with particular attention to data leaving Chime's boundary, in partnership with Security, Risk, and Compliance. Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence. Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the integration pipelines and connectors your team owns. Stay ahead of industry trends in data integration, streaming, and ingestion/egress tooling, and thoughtfully introduce technologies that improve our platform's capabilities. To thrive in this role, you Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data integration or data movement systems. Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers. Bring hands-on coding ability and a genuine desire to remain technical while leading a team. You are comfortable writing and reviewing production code, particularly where it resolves ambiguity or unlocks the team’s progress Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality. Bring deep experience with data integration and movement components, such as ingestion and CDC pipelines, connector frameworks, event streaming, and API- and file-based (e.g., SFTP) data exchange alongside the data lakes/lakehouses (e.g., Iceberg) and warehouses (e.g., Snowflake) they feed and drain. Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data contracts, and schema-evolution strategies across system boundaries. Are comfortable working with modern data and infrastructure technologies, such as Kafka, Flink, Spark, Airflow, Kubernetes, and connector/ingestion tooling (e.g., Debezium, Fivetran/Airbyte-style frameworks). Are hands-on proficient in Python (preferred) or a comparable language (e.g., Java, Scala), able to write, review, and ship production-quality code, and are fluent in SQL and performance tuning for analytical workloads. Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents. Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) especially for third-party data sharing and data crossing Chime's trust boundary and have helped design systems that meet regulatory and internal standards. Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, and reliable data pipelines that feed them). Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, as well as external partners and vendors, and can translate between technical and business contexts. Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence. #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Sales Engineer Enterprise to join our Field Engineering team. As a Sales Engineer, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the West Region. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs What You’ll Do Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks) Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community Skills We’re Looking For 7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures Hands-on experience with SQL, ETL/ELT, and data modeling Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools Ability to gather and translate technical and business requirements into concrete solutions Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments Optional Bonus Skills Prior experience at an analytics, ETL, BI, or open-source software company Hands-on experience with dbt Cloud or dbt Core or Fivetran Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF) Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend) Experience with self-hosted software applications and supporting infrastructure Hands-on networking experience, cloud and on-premise The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process OTE (On Target Earning) $218,491.87 — $303,462.32 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Компания •••• — глобальная компания по разработке программного обеспечения, объединяющая более 2400 специалистов в 40+ странах, работающая с лидерами отрасли и компаниями из Fortune 500. Специализация включает облачные технологии, данные, AI/ML, встроенное ПО, IoT и другие направления, обеспечивая цифровую трансформацию в финансах, производстве, телекоммуникациях, здравоохранении и других сферах. Роль Principal Solutions Architect предполагает ключевую руководящую позицию, формирование технологического направления, руководство межфункциональными инициативами и обеспечение высокоэффективной реализации проектов. Обязанности включают ведение сложных проектов от этапа исследования и консультаций до внедрения, наставничество архитекторов, развитие практик и вклад в стратегический рост компании. Задачи: — Ведение архитектурного видения и стратегических инициатив для портфеля корпоративных клиентов. — Развитие практик через создание фреймворков, методологий и повторно используемых активов для решений и консультаций. — Формирование и наставничество команд архитекторов и инженеров для повышения квалификации и технического уровня. — Консультирование руководителей C-level и технологических лидеров клиентов по цифровой стратегии и технологическим дорожным картам. — Контроль реализации архитектуры для соответствия лучшим практикам, поддерживаемости и долгосрочной ценности. — Руководство или участие в фазах исследования, оценках, технических воркшопах и аудитах архитектуры. — Преобразование сложных бизнес- и технических требований в масштабируемые архитектурные решения. — Ведение предложений решений на этапах предпродаж и допродаж, включая техническое видение, дизайн, управление рисками и оценку стоимости. — Руководство выполнением проектов с обеспечением соответствия архитектуры видению. — Оценка и внедрение новых технологий, согласование потребностей клиентов с перспективными архитектурными подходами. — Выполнение роли главного архитектора и руководство командой архитекторов на сложных проектах. Требования: — Более 10 лет опыта в разработке программного обеспечения и архитектуре решений. — Более 3 лет на руководящих архитектурных позициях в IT-сервисах или консалтинге. — Опыт ведения сложных консультационных проектов с глобальными корпоративными клиентами. — Опыт создания решений с нуля, предпочтительно для крупных распределённых систем (команда 30+, срок 12+ месяцев). — Глубокое понимание облачной архитектуры с практическим опытом работы минимум с двумя крупными облачными платформами (AWS, Azure, GCP). — Сильные знания микросервисов, API, интеграционных паттернов и проектирования распределённых систем. — Опыт наставничества и развития команд в матричной или консалтинговой среде. — Отличные навыки взаимодействия с заинтересованными сторонами, комфортное общение как с инженерами, так и с руководителями. — Владение современными практиками доставки: Agile, DevOps, CI/CD, Infrastructure as Code. — Английский язык на уровне Upper-Intermediate или выше. Желательные сертификаты: — SEI Software Architecture Professional, TOGAF или аналогичные. — Сертификаты облачных платформ (AWS Solutions Architect Associate/Professional, Azure Solutions Architect Expert). — Специализация в областях данных, безопасности или корпоративной интеграции является плюсом. Условия: — Гибкий формат работы: удалённо, в офисе или гибрид. — Конкурентная зарплата и компенсационный пакет. — Персонализированный карьерный рост. — Инструменты профессионального развития (менторство, технические доклады и тренинги, центры экспертизы). — Активные технические сообщества с регулярным обменом знаниями. — Возмещение расходов на образование. — Памятные подарки к юбилеям. — Корпоративные мероприятия и тимбилдинги. — Другие льготы, зависящие от локации (не применимо к фрилансерам).

Location: Remote (Croatia) Workplace: hybrid ELEKS is looking for a Dynamics 365 & Power Platform Solutions Architect/Senior Consultant in Croatia. ABOUT CLIENT The project focuses on designing and implementing Microsoft Dynamics 365 solutions through an iterative delivery approach. The team collaborates closely with business stakeholders to ensure solutions align with business objectives, enterprise architecture standards, and Microsoft best practices. REQUIREMENTS 5+ years of experience with Microsoft Dynamics 365 CE/CRM, including multiple full-lifecycle enterprise implementations Strong expertise in Dynamics 365 Sales, including configuration, customization, and solution architecture Hands-on experience with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and Dataverse Experience configuring out-of-the-box (OOTB) entities, business rules, workflows, forms, views, and dashboards Proficiency in C#, .NET, JavaScript, FetchXML, REST APIs, and Azure Functions Experience developing custom plugins, extensions, and integrations with third-party ERP and marketing systems Strong understanding of enterprise architecture, security models, data architecture, and Application Lifecycle Management (ALM) Experience with Azure DevOps, CI/CD pipelines, and solution deployment processes Strong experience in requirements analysis, business process mapping, fit-gap analysis, and functional specifications Experience leading technical teams and coordinating developers and consultants in Agile environments Experience supporting pre-sales activities, technical estimations, and solution demonstrations Strong communication, stakeholder management, and problem-solving skills Upper-Intermediate or higher level of English RESPONSIBILITIES Own the end-to-end technical and functional design of Microsoft Dynamics 365 Sales solutions Lead client workshops, stakeholder interviews, and fit-gap analyses to translate business requirements into functional specifications Design and optimize sales processes, including lead-to-opportunity, quoting, pipeline management, and forecasting Configure and customize Dynamics 365 Sales entities, workflows, business rules, forms, views, and dashboards Extend Dynamics 365 capabilities using Power Apps, Power Automate, Power BI, and Microsoft Dataverse Design and guide the development of custom C# plugins, .NET extensions, Azure Functions, and third-party integrations Ensure solutions align with enterprise architecture, security, data management, and ALM standards Act as a technical lead, providing architectural guidance and coordinating Agile delivery teams Collaborate with business stakeholders, developers, and consultants throughout the implementation lifecycle Prepare functional specifications, solution design documentation, and implementation guidelines Support testing, deployment, and User Acceptance Testing (UAT) activities Participate in pre-sales activities, including product demonstrations, solution scoping, and project estimations Ensure delivered solutions meet business objectives and support the target operating model

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, as well as industry leaders across many sectors. Canonical is a pioneer of global distributed collaboration, with 1,200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an Engineering Manager for Distributed Systems Testing to lead a team responsible for the quality engineering platform that enables deployment and validation of distributed systems across Canonical's cloud portfolio. We see quality engineering as a first-class engineering practice. Our Distributed Systems Testing team ensures the performance, correctness, resilience and interoperability of Canonical cloud solutions built with technologies such as Juju, Terraform, OpenStack and Kubernetes. These systems are deployed and tested across diverse environments, from bare-metal to the public cloud. As Engineering Manager, you will combine strong software engineering judgement with people leadership. You will develop engineering talent, establish effective engineering practices, shape technical direction with senior engineers, and ensure the team delivers high-quality testing infrastructure and automation that enables engineering teams across Canonical to ship software with confidence. We believe engineering managers should be outstanding engineers themselves. You should be comfortable reviewing patches, evaluating software design, debugging a distributed system, or discussing test architecture. You will contribute technically where appropriate to set a high standard, while recognizing that your greatest impact comes from shaping the direction, focus, effectiveness, and growth of the whole team. You will work closely with senior engineers and engineering leaders across Canonical to define priorities, improve testing capabilities, and advance how we validate increasingly complex cloud-native and distributed systems. Location: This is a globally remote role, typically leading a team concentrated within a major time zone such as EMEA or the Americas. What you'll do Lead, coach, and develop a high-performing team of software and quality engineers, ranging from graduate to senior level Set clear expectations, strengthen engineering practices, and ensure timely delivery against agreed goals Partner with senior engineers to shape technical strategy, architecture, roadmap, and engineering standards Guide the development of automated testing infrastructure for the reliability, interoperability, and resilience of distributed systems Improve CI pipelines, testing tools, and reporting used to validate Canonical's products and solutions across bare-metal, private and public cloud environments Enable engineering teams across Canonical to adopt effective distributed-systems testing practices and tooling Contribute technical leadership through design and code reviews, debugging, and hands-on engineering where appropriate Represent the team with stakeholders and collaborate across Canonical on quality engineering, infrastructure, and developer experience What we're looking for in you An exceptional academic track record from both high school and university Experience in leading, coaching, and mentoring software engineers Professional software engineering experience with Python or Go Expertise in distributed systems, cloud infrastructure, quality engineering, or a closely related domain Strong knowledge of modern software testing processes, strategies, and automation Experience with Linux (Debian or Ubuntu preferred) Strong technical judgement and the ability to engage meaningfully in code reviews, architecture discussions, and software design Experience working in an agile development environment with the ability to organize a team to deliver high-quality results Professional written and spoken English with excellent communication and presentation skills Great interpersonal skills, curiosity, flexibility, and accountability, demonstrating passion, thoughtfulness, and self-motivation Ability to travel twice a year, for company events up to two weeks each Additional skills we value Experience with any of the following: Cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure Designing testing strategies for distributed or cloud-native systems Building or operating large-scale CI/CD and test infrastructure Applying AI or machine learning to test analysis, failure classification, or engineering workflows Deploying, operating, or debugging distributed systems Leading globally distributed teams What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually, and more often for graduates and associates, to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits that reflect our values and ideals. We balance our programmes to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme and wellness support Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and a leading platform for AI, IoT, and the cloud, we are changing the world of software. We recruit globally and set a very high standard for people joining the company. We expect excellence; to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. Requisition ID: 1361

Location: Boston, Massachusetts; Foster City, California; Marlton, New Jersey; Remote, United States Do you care about keeping developer tools running reliably, enjoy digging into the systems and infrastructure behind them, and know that reliable tools make all the difference for development teams? If you are calm under pressure, enjoy diagnosing complex systems, want to help developers overcome technical hurdles, and thrive on deep problem-solving across diverse tech stacks, this role is for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. About TeamCity TeamCity is a highly scalable CI/CD server that integrates across the modern software ecosystem. Because it supports complex server-side setups and SaaS deployments, issues can stem from the product itself or the surrounding infrastructure. What you’ll do As part of our Support Engineering team, you will act as a crucial link between global engineering teams and our internal product developers. You will take ownership of incoming technical issues, pinpoint root causes, and provide working resolutions or clear escalations. You'll work American-timezone hours to give our global community timely, effective support. Day to day, you will: Identify whether an issue stems from the product, infrastructure, or third-party integrations. Provide workarounds, submit bug reports, or escalate issues directly to development. Capture insights and publish solutions following KCS (Knowledge-Centered Service) principles. Share user feedback with internal product teams to shape future tool improvements. What you’ll bring A systematic and structured, but flexible approach to troubleshooting complex software and infrastructure issues. A clear, direct communication style that explains technical details in ways others can understand. Comfort working independently across distributed teams and time zones. Curiosity about how different build systems, VCS providers, and clouds operate together. An inclination to leave documentation and systems better than you found them. What you’ll need Fluency in English, with strong written communication skills. The ability to work aligned with American time zones. Practical experience troubleshooting web servers and applications (such as Tomcat and Java-based environments). A working knowledge of relational databases (such as PostgreSQL, MySQL, or MSSQL). Hands-on experience with version control tools and hosting platforms (such as Git or Perforce, GitHub, GitLab, or Bitbucket). Familiarity with build automation tools (such as Gradle, Maven, or .NET build systems). An understanding of containerized environments or cloud infrastructure (such as Docker, Kubernetes, AWS, or Azure). What success looks like Success in this role means resolving complex support cases efficiently while maintaining clear communication with developers. You build trust by accurately diagnosing underlying infrastructure or application bugs rather than addressing symptoms alone. Over time, your contributions to the knowledge base reduce repeat issues, and your feedback helps product teams make TeamCity more resilient. #LI-DNI This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. Starting pay within the range will be determined based on job-related factors such as skills, qualifications, experience, and work location. The base salary range (per year) for this position in the posted work location(s) is $144,000 — $216,000 USD We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Задачи: – Поддерживать, масштабировать и повышать безопасность локальных кластеров Kubernetes (на собственном сервере, а не в управляемом облаке) для обеспечения высокой доступности и аварийного восстановления. – Разрабатывать, внедрять и управлять инфраструктурой как кодом (IaC) для локальных сред с использованием Ansible и других инструментов автоматизации. – Создавать, оптимизировать и мониторить конвейеры Azure DevOps для CI/CD контейнеризированных приложений и изменений инфраструктуры. – Поддерживать и расширять компоненты инфраструктуры на базе Azure, интегрированные с локальными рабочими нагрузками. – Внедрять и поддерживать стек средств мониторинга: Prometheus, Grafana, Kafka (для потоковой передачи логов/метрик) и мониторинг баз данных (PostgreSQL, MongoDB). – Упаковывать и развёртывать приложения с использованием Helm, обеспечивающие стандартизированные и воспроизводимые релизы. – Разрабатывать и поддерживать скрипты на Bash и Python для автоматизации, устранения неполадок и создания инструментов. – Взаимодействовать с командами разработчиков, специалистов по безопасности и эксплуатации для обеспечения надежности, соответствия нормативным требованиям и производительности платформы. – Документировать архитектуру, процессы и руководства по эксплуатации для обмена знаниями. Требования: – Более 5 лет практического опыта работы в качестве DevOps-инженера в корпоративных средах. – Подтвержденный опыт развертывания и управления Kubernetes в локальной среде (кроме AKS/EKS/GKE). – Уверенное владение Ansible для управления конфигурациями и автоматизации. – Обширный опыт работы с Azure DevOps для проектирования и сопровождения конвейеров CI/CD. – Уверенный опыт работы с Helm для упаковки приложений в Kubernetes. – Практический опыт работы с Prometheus, Grafana и Kafka для мониторинга и потоковой передачи событий. – Опыт управления и мониторинга баз данных PostgreSQL и MongoDB в производственной среде. – Уверенное владение языками программирования Bash и Python для автоматизации и разработки инструментов. – Уровень владения английским языком: B2 или выше — умение четко общаться с международными командами и заинтересованными сторонами. – Продемонстрированная способность к сотрудничеству в команде и с клиентом.