Задачи:
— Разработка AI агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы.
— Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при ошибках.
Требования:
— Опыт разработки на Python и бекенд инженерия.
— Опыт работы с LLM API и агентными системами в продакшене.
— Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий.
— Опыт работы с вызовом функций/инструментов и структурированными выводами.
— Знание RAG, embeddings, векторного поиска и управления контекстом.
— Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования.
— Интеграция с API и событийно-ориентированные рабочие процессы.
— Оценка, трассировка и отладка LLM.
— Опыт работы с Docker, Kubernetes, CI/CD и AWS.
— Преимуществом является опыт с мультиагентной оркестрацией, MCP, human-in-the-loop рабочими процессами или мониторингом агентов в продакшене.
Условия:
— Удалённая работа.
— Полная занятость или контракт.
Это практическая инженерная роль с ответственностью за дизайн агента, реализацию, оценку, деплой и надёжность в продакшене.
Location: Lisbon
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Role: Forward Deployed Backend/DevOps Engineer
- Location: Portugal (Lisbon)
- Reports to: VP, Forward Deployed Engineering
- Working type: Hybrid (On-site at customer locations approx. 50% of time)
- Must be eligible and able to attain relevant national and NATO security clearances.
- Must be based in-country and native level speaker of the country you're deploying to.
WHY THIS ROLE MATTERS
In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default.
This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations.
WHAT YOU'LL OWN
Platform deployment & operations
- Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres).
- Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises.
- Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring.
- Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking.
High-performance backend systems
- Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency.
- Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations.
- Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup.
- Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out.
Reliability, security & observability
- Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them.
- Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down.
- Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably.
Customer engagement & rapid delivery
- Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements.
- Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs.
- Conduct hands-on training for customer administrators on platform operations.
- Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements.
WHAT WE'RE LOOKING FOR
Must-haves
- 5+ years hands-on backend engineering building and operating production systems at scale.
- Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus.
- Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus.
- Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both.
- Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus.
- Observability as a habit: metrics, logs, and alerts are part of done.
- Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks.
- PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery.
- Observability as a habit: metrics, logging and alerting are part of done, not an afterthought.
- Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture.
- Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators.
- Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
- Willingness to travel 40–60% to customer sites within the region.
Nice to have
- Experience in defence, intelligence, or government operational environments.
- Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management.
- Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale.
- Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals.
- Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments).
- Familiarity with geospatial data, satellite imagery, or remote sensing.
- Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases.
- Active use of AI-assisted development tools as part of your daily workflow.
- Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups).
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com
ГибридLisbon; Must be based in-country and native level speaker of the country you're deploying to
Задачи:
— Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services
— Design and manage AWS infrastructure with Terraform
— Automate network and server configuration with Ansible
— Optimize cloud resources and keep costs under control
— Monitor performance and troubleshoot issues
— Implement security best practices and compliance automation
— Work closely with development and operations teams
Требования:
— Strong hands-on AWS experience
— Solid Terraform (IaC) skills
— Ansible for configuration management and automation
— Real networking fundamentals: L2/L3, VLANs, switching, routing
— Overlay networks and software-defined networking
— Network automation and programmability
— CI/CD tools (Jenkins, GitLab CI, etc.)
— Docker and Kubernetes
— Python and Bash scripting
— Strong troubleshooting and communication skills
Плюсы:
— AWS certifications (e.g. AWS Certified DevOps Engineer)
— Prometheus and Grafana experience
Гибридsenior📍 Limassol, Cyprus (hybrid, preferred) or fully remote (European time zone only)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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
Задачи:
— Финансовый и стратегический контроль за инвестициями Pinterest в технологическую инфраструктуру, преимущественно AWS.
— Управление ключевыми отношениями с поставщиками, особенно AWS.
— Обеспечение эффективного распределения и отслеживания затрат внутри компании.
— Сотрудничество с командами Engineering, Infrastructure и Technical Program Management для разработки операционных инвестиций и финансовых прогнозов.
— Составление анализа отклонений на ежемесячной, квартальной и годовой основе.
— Инициирование улучшений, автоматизации и развития инструментов и процессов прогнозирования и отчетности по операционным расходам и инфраструктуре.
— Внедрение AI-инструментов в финансовое партнерство для повышения качества прогнозирования, анализа метрик и принятия финансовых решений.
— Разработка моделей прогнозирования использования ресурсов на краткосрочную и долгосрочную перспективу.
— Проактивное выявление рисков и возможностей.
— Проведение стратегического анализа и коммуникация ключевых выводов.
Требования:
— Опыт прогнозирования расходов, предпочтительно в управлении затратами на технологическую инфраструктуру в публичных облачных платформах.
— Опыт использования AI-инструментов для ускорения финансового анализа и прогнозирования с ответственным подходом к проверке результатов.
— Опыт управления несколькими рабочими потоками и взаимодействия с разными функциями и командами.
— Экспертные навыки построения финансовых моделей.
— Сильные навыки делового партнерства и коммуникации.
— Способность работать с несколькими задачами и соблюдать сроки.
— Предпринимательский, гибкий и командный подход.
— Степень бакалавра в релевантной области (бухгалтерия, финансы) и минимум 5 лет опыта в финансах или операционной деятельности в динамичной отрасли.
Условия:
— Работа удаленная с необходимостью посещать офис для личного взаимодействия 1-2 раза в полгода, местоположение в США.
— Зарплатный диапазон от $98,561 до $202,918 в год.
— Позиция также предусматривает участие в программе акций компании.
— Позиция не предусматривает помощь с релокацией.
— Требования к равенству и инклюзивности в рабочем месте.
УдалённоRelocation Statement:; This position is not eligible for relocation assistance
Задачи:
— разрабатывать и развивать backend-сервисы на Java / Spring.
— проектировать и поддерживать микросервисную архитектуру.
— работать с интеграциями блокчейн-сетей и смарт-контрактов.
— строить и поддерживать API для клиентского приложения, внутренних инструментов и интеграций.
— работать с Kafka, PostgreSQL, очередями, событиями и высоконагруженными процессами.
— участвовать в принятии архитектурных решений и улучшении технического ландшафта продукта.
— обеспечивать надёжность, безопасность и масштабируемость сервисов.
— участвовать в code review, делиться опытом с командой и помогать усиливать инженерные практики.
Требования:
— уверенный опыт backend-разработки на Java.
— хорошее знание Spring / Spring Boot.
— опыт работы с микросервисами.
— практический опыт с PostgreSQL и Apache Kafka.
— опыт работы с AWS и Kubernetes.
— понимание принципов построения надёжных и безопасных backend-систем.
— разговорный английский язык.
— будет плюсом опыт в fintech, blockchain / Web3, а также понимание compliance и regulated environments.
— будет особенно полезно опыт интеграции блокчейн-решений в production.
— понимание смарт-контрактов и Web3-инфраструктуры.
— опыт работы в финансовых или высокорегулируемых продуктах.
Условия:
— удалённая работа, можно выбрать любую страну для проживания.
— оформление по международному контракту или по ТК РФ.
— гибкий график работы — лояльное начало дня, 8 часов рабочий день.
— возможность выбрать привычное оборудование (Mac, Linux, Windows, мониторы и пр.).
— Performance Review для выстраивания целей.
— непрерывное обучение через внутреннюю Академию и партнёрские программы.
— участие в митапах, конференциях, хакатонах, квестах, онлайн-играх.
— корпоративные программы: английский, мастер-классы, развлечения и отдых.
УдалённоseniorНепрерывное обучение: у нас есть внутренняя Академия, а также много партнёрских программ, которые поделятся знаниями не только в профессиональной сфере, но и поддержат хобби
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: Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia
We are looking for a Solution Architect to own the solution architecture of Java services across Studio and Mosaic. The architect sets service boundaries, API and event contracts, persistence, identity, and integration patterns for authoring, governance, transformation, packaging, and delivery and stays close enough to the code to make those designs real in Micronaut services.
Own solution architecture for Java services across authoring, governance, transformation, packaging, and delivery
Define service boundaries and contracts for Studio and Mosaic, including assembler, resolver, LMS integration, content delivery, identity, and progress / learning-record services
Design a canonical content model for modular lessons, topics, assessments, and media, and keep it stable across Java APIs and React experiences
Define taxonomy and ontology services exposed through APIs so classification stays consistent across authoring, search, and delivery
Architect workflows for approvals, versioning, quality gates, lineage, and audit trails
Design standards-based transformation and packaging across XML, JSON, BITS, QTI, XLIFF, SCORM, xAPI, LTI, PDF, and ePub
Lead integration architecture across the component CMS, taxonomy, translation management, search, publishing, and learner channels (including Canvas and Brightspace)
Define AI-assisted drafting, tagging, enrichment, semantic search, and recommendation patterns, including how Java services call and govern those capabilities
Establish human review checkpoints, attribution, prompt and model versioning, and traceability of AI-generated content
Design identity and entitlement integration: Entra ID workforce SSO, Kong as the backend-for-frontend, JWT validation in Java services, LTI 1.3 learner federation, roles, paywalls, and secure access to published content
Shape AWS runtime architecture for these services: Aurora PostgreSQL, S3 and CloudFront delivery, secrets, and container deployment
Ensure end-to-end observability across authoring, classification, approval, transformation, delivery, and AI actions (OpenTelemetry, metrics, and correlated logs)
Set engineering standards for OpenAPI, persistence (JPA and schema migrations), error semantics, and testability of the Java services
8+ years in solution, content, information, or enterprise architecture, with a substantial record of shipping Java services
Production experience with modern Java (21+) service frameworks (Micronaut or Spring), Gradle or Maven, REST, and OpenAPI
Experience with taxonomy and ontology platforms exposed through APIs
Experience with translation workflows, translation memory, glossaries, and XLIFF exchange
Knowledge of search and discovery architecture, including semantic search and recommendations
Experience with publishing and transformation pipelines
Familiarity with learning delivery standards and channels such as LTI 1.3, SCORM, xAPI, Canvas, and Brightspace
Experience with API, event, workflow, and file-ingest architectures
Strong cloud architecture experience on AWS (relational data, object storage, CDN, secrets, container platforms)
Experience with gateway and session architecture, identity integration (OIDC/JWT, SSO, federation), and secure access patterns
Familiarity with application stacks such as React front ends consuming Java services
Experience integrating structured editors such as CKEditor with content models
Experience with logical architecture across presentation, capability, content, integration, and infrastructure layers
Hands-on Micronaut, Flyway, and PostgreSQL / Aurora
Experience with Kong (or a similar API gateway) as a backend-for-frontend in front of Java APIs
Experience with structured component CMS platforms and component-level content models
Experience migrating legacy long-form content into modular reusable components
Familiarity with xAPI learning-record stores and content analytics
Knowledge of semantic standards such as SKOS or RDF
Knowledge of content standards such as BITS and QTI
Experience governing a canonical model across multiple vendor platforms
Experience with OpenTelemetry and Prometheus-style metrics on JVM services
Location: Armenia; Georgia; Serbia; Bulgaria; Kazakhstan
FP Markets Group of Companies
is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time
Senior DevOps Engineer (remote).
What You'll Do
Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services
Design and manage AWS infrastructure using Terraform
Automate network and server configuration with Ansible
Optimize cloud resources and implement cost-effective solutions
Monitor system performance and troubleshoot issues
Implement security best practices and compliance automation
Collaborate with development and operations teams
What You Bring
Strong hands-on experience with AWS services
Solid experience with Terraform for Infrastructure as Code
Proficiency with Ansible for configuration management and automation
Strong networking fundamentals including L2/L3 concepts, VLANs, switching, and routing
Experience with overlay network technologies and software-defined networking
Experience with network automation and programmability
Hands-on experience with CI/CD tools (Jenkins, GitLab CI, etc.)
Proficiency in Docker and Kubernetes
Scripting skills (Python, Bash)
Strong troubleshooting and communication skills
Nice to Have
AWS certifications (e.g., AWS Certified DevOps Engineer)
Experience with monitoring tools (Prometheus, Grafana)
Our offer:
Welcoming, young and multicultural team with approachable leadership
Ability to contribute to dynamic business at a growth phase
High level of autonomy, support of ideas and putting your expertise into the best practices for the company
Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders
Competitive remuneration, regular salary reviews and performance-based incentive schemes
Vibrant company life: from team activities to global celebrations
Fully remote work
Journey to FP Markets:
Interview with HR (30 - 45 min) to assess match to our culture
Interview with your future manager (45 min - 1 hour) to assess match to the job and the team and discuss role expectations
Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!
Location: Limassol, Cyprus
FP Markets Group of Companies
is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time
Senior DevOps Engineer in our Cyprus office - a certified Great Place to Work®.
What You'll Do
Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services
Design and manage AWS infrastructure using Terraform
Automate network and server configuration with Ansible
Optimize cloud resources and implement cost-effective solutions
Monitor system performance and troubleshoot issues
Implement security best practices and compliance automation
Collaborate with development and operations teams
What You Bring
Strong hands-on experience with AWS services
Solid experience with Terraform for Infrastructure as Code
Proficiency with Ansible for configuration management and automation
Strong networking fundamentals including L2/L3 concepts, VLANs, switching, and routing
Experience with overlay network technologies and software-defined networking
Experience with network automation and programmability
Hands-on experience with CI/CD tools (Jenkins, GitLab CI, etc.)
Proficiency in Docker and Kubernetes
Scripting skills (Python, Bash)
Strong troubleshooting and communication skills
Nice to Have
AWS certifications (e.g., AWS Certified DevOps Engineer)
Experience with monitoring tools (Prometheus, Grafana)
Our offer:
A certified Great Place to Work® reflecting our commitment to a positive culture, employee well-being, and support
Welcoming, young and multicultural team with approachable leadership
Ability to contribute to a dynamic business at a growth phase
High level of autonomy, support of ideas and putting your expertise into the best practices for the company
Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders
Competitive remuneration, regular salary reviews and performance-based incentive schemes
Vibrant company life: from team activities to global celebrations
New beautiful office in an easily accessible location with company-provided fruits, breakfasts and lunches
Free access to multiple sports and wellness facilities across the country
Free company-provided parking
Medical insurance and pension fund after probation period
A gift and a day off on your Birthday
Visa and work permit support if required
Journey to FP Markets:
Interview with HR (30 - 45 min)
Technical interview (1 h)
Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!
Задачи:
— Сопровождение и развитие инфраструктуры и сервисов, находящихся на поддержке команды DevOps;
— Развитие и поддержка процессов CI/CD, автоматизация сборки, тестирования и доставки приложений;
— Администрирование и развитие Kubernetes-кластеров, Docker-инфраструктуры и Linux-систем;
— Автоматизация управления инфраструктурой с использованием Ansible и IaC-инструментов;
— Мониторинг информационных систем, участие в дежурствах в рабочее время и оперативное реагирование на инциденты;
— Подготовка технической документации, отчетности и участие в разборе инцидентов (postmortem).
Требования:
— Высшее профильное образование;
— Уверенные знания GNU/Linux и Docker;
— Практический опыт работы с Kubernetes (K8s), Helm и ArgoCD;
— Опыт построения и сопровождения CI/CD (желательно GitLab CI);
— Опыт автоматизации инфраструктуры с использованием Ansible;
— Опыт работы с облачными платформами (Yandex Cloud, VK Cloud, AWS, Selectel или аналогичными);
— Будет преимуществом опыт работы с Terraform, OpenTofu или Terragrunt;
— Высокая степень самостоятельности, умение быстро разбираться в новых задачах и находить эффективные решения;
— Ориентация на результат, системное мышление и хорошие навыки планирования.
Условия:
— Официальное оформление в штат на бессрочный трудовой договор;
— Полностью официальная заработная плата и полугодовые премии по результатам работы;
— Комфортный, современный офис рядом с метро ЦСКА Бизнес центр "Белая Башня";
— Гибридный график работы в Москве (строго);
— ДМС после прохождения испытательного срока, включая стоматологию;
— Корпоративное обучение – тренинги, конференции, курсы повышения квалификации;
— Внутренняя система гибких льгот, мотивации и премирования сотрудников – Кафетерий льгот;
— Корпоративная программа привилегий со скидками от партнеров– Primezone;
— Корпоративный спортзал;
— Насыщенная социальная и корпоративная жизнь: корпоративные мероприятия, праздники, фестивали, спортивная и благотворительная деятельность.
Location: Seattle, WA
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
We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Staff Infrastructure Engineer on this team will keep systems running, define what safe, observable, AI-assisted infrastructure operations look like in practice, and set the standard for how the broader engineering organization follows.
_______________________________________________________________________
WHAT YOU'LL WORK ON
The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
- How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
- How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
- How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
- How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?
_______________________________________________________________________
RESPONSIBILITIES
- Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
- Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team
- Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
- Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
- Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
- Identify systemic risks and drive improvements that span team or organizational boundaries
- Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
- Mentor engineers across the team; your technical judgment should raise the floor for everyone.
_______________________________________________________________________
QUALIFICATIONS
- 8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
- Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
- Expert-level Terraform; you've designed reusable module patterns and set standards others follow
- Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them
- Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership
- Kubernetes at an operational and architectural level
- A track record of identifying systemic risks and driving improvements that span team or organizational boundaries
- Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
- Strong written English; at Staff level, written communication is how you scale your influence across teams
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
WHAT SETS YOU APART
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.
FIRST 90 DAYS
You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and have begun shaping the team's technical direction.
ONE YEAR OUTLOOK
You will be the team's trusted authority on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right, and that standard will be visible beyond this team.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $170,350 – $275,550 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: 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
Задачи:
— Разработка AI агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы.
— Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при ошибках.
Требования:
— Опыт разработки на Python и бекенд инженерия.
— Опыт работы с LLM API и агентными системами в продакшене.
— Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий.
— Опыт работы с вызовом функций/инструментов и структурированными выводами.
— Знание RAG, embeddings, векторного поиска и управления контекстом.
— Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования.
— Интеграция с API и событийно-ориентированные рабочие процессы.
— Оценка, трассировка и отладка LLM.
— Опыт работы с Docker, Kubernetes, CI/CD и AWS.
— Преимуществом является опыт с мультиагентной оркестрацией, MCP, human-in-the-loop рабочими процессами или мониторингом агентов в продакшене.
Условия:
— Удалённая работа.
— Полная занятость или контракт.
Это практическая инженерная роль с ответственностью за дизайн агента, реализацию, оценку, деплой и надёжность в продакшене.
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.
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
ОфисseniorHyderabad
seniorBulgaria; Croatia; Cyprus; Finland; Hungary; Ireland; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovenia; Sweden
УдалённоseniorRemote, Japan; 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; Professional Services operates in a fully remote and largely asynchronous environment, collaborating across regions and time zones
Автоотклики