Для заказчика Первый Бит ищем специалиста для внедрения методологии DevOps и развития системы, используемой сотнями клиентов по всему миру. Проект высоконагруженный, работает на сотнях серверов, включает монолит и микросервисную архитектуру.
Задачи:
– сопровождение и развитие процесса CI/CD
– настройка мониторинга сервисов
– помощь разработчикам в организации тестовых и рабочих сред
– стандартизация решений и подходов
– участие в проработке архитектурных решений
– взаимодействие с командой разработчиков и ops
Требования:
– опыт построения CI/CD процессов
– опыт работы с дата-центрами
– опыт работы с Gitlab CI, Vault, Docker, Ansible
– опыт работы и сопровождения nginx, балансировщиков
– опыт работы с брокерами сообщений RabbitMq, Kafka
– опыт работы с S3 (minio)
– опыт администрирования Linux
– опыт настройки мониторинга сервисов (Zabbix / Prometheus+Grafana)
– понимание масштабирования и отказоустойчивой инфраструктуры
– понимание работы сетей, широкий технический кругозор
About the Team
The Security Operations team protects CircleCI’s infrastructure, product, and customer data against evolving threats, working closely with engineering to maintain security and resilience.
About the Role
As a Security Operations Engineer, you will protect CircleCI’s infrastructure, product, and customer data from AI-driven attacks and defenses. This intermediate role involves ownership of security challenges, collaboration with Engineering, contributing to the security roadmap, and leveraging AI tools to detect, respond to, and automate security threats.
What You’ll Do:
Threat Detection & Incident Response
— Monitor, investigate, and respond to security threats across cloud and application environments using security and AI-assisted tools.
— Participate in risk assessments, incident response, post-incident reviews, and on-call support, improving controls and processes.
Security Engineering & Architecture
— Build and maintain security tooling, controls, and automation across cloud, application, and CI/CD environments following best practices.
— Identify vulnerabilities and configuration risks, contribute to runbooks and compliance, and understand CircleCI’s security architecture.
AI & Security
— Incorporate AI-powered security tools into workflows and evaluate emerging technologies for detection, response, and automation.
— Stay current on AI-specific security threats and contribute to responsible AI use in security operations.
Cross-Team Partnership & Ownership
— Partner with Engineering teams to understand security needs, provide guidance, and translate risks into actionable recommendations.
— Contribute to security roadmap planning, technology evaluations, and documentation while building relationships across teams.
What You’ll Bring:
— 3+ years of security engineering or operations experience or equivalent expertise.
— Hands-on experience with cloud, application, and CI/CD security in AWS, GCP, or Azure.
— Experience with incident response and security tools including EDR, CNAPP, SASE, vulnerability scanners, and log analysis.
— Ability to build and maintain security automation and tooling using Go, Python, or Terraform.
— Strong security judgment and problem-solving skills.
— Hands-on experience with AI/ML-powered security tools in production and understanding of AI’s role in security workflows.
Bonus Skills (Nice to Have):
— Familiarity with AI-specific threat categories like prompt injection and model supply chain risks.
— Experience securing developer platforms, SaaS, or CI/CD infrastructure.
— Relevant certifications such as CEH, AWS Security Specialty, Security+.
— Contributions to process improvement, runbook development, or knowledge sharing.
Accommodation
CircleCI provides reasonable accommodation for individuals with disabilities during application and employment.
About CircleCI
CircleCI is the world’s largest CI/CD platform, processing over 3 million jobs daily, helping companies leverage AI in software delivery. Founded in 2011, headquartered in San Francisco with a global remote workforce, and venture-backed by multiple investors.
Equal Opportunity
CircleCI is an Equal Opportunity and Affirmative Action employer, not discriminating based on legally protected characteristics and considering applicants with criminal histories consistent with laws.
УдалённоmiddleГеография найма не уточнена, офис: Канада
About CircleCI Engineering:
CI/CD is being reinvented with AI agents that write code, trigger builds, interpret failures, and propose fixes. CircleCI is building new interfaces for developers to understand and trust this work.
Team-Agnostic Placement:
Hiring is for CircleCI as a whole, not a specific team. Placement depends on where your strengths create the most leverage. Possible areas include CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The role involves full-stack ownership and high craftsmanship.
What You'll Do:
— Build AI-natively, using AI as the default approach to problem solving.
— Invent new interfaces for software delivery that support autonomous pipelines and human judgment.
— Own the full stack by building features end-to-end in Go, React, and TypeScript.
— Focus on reliability and responsiveness as design concerns.
— Champion observability using Honeycomb, Datadog, and Rollbar to improve systems.
— Proactively identify and close gaps without being asked.
What You'll Bring:
— AI-native engineering practices with daily use of AI tools and understanding of their impact.
— At least 3 years of production full-stack experience with a track record of shipping real products.
— Strong skills in React and TypeScript, and comfortable owning backend services in Go including API design, data modeling, and service integration.
— System design skills with conscious tradeoffs and documentation.
— Production mindset focusing on latency, responsiveness, and reliability in distributed environments.
Additional Information:
The role is remote based in Ontario, Canada. Salary range is $127,000 to $159,000 CAD per year. CircleCI is an equal opportunity employer and provides accommodations for individuals with disabilities during the application and interview process.
УдалённоГеография найма не уточнена, офис: Канада
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Задачи:
— Проектировать, внедрять и управлять решениями и контролями безопасности для AWS и Kubernetes, включая методы изоляции для платформы RCE-as-a-Service.
— Создавать, развёртывать и поддерживать инфраструктуру как код с использованием Terraform, обеспечивая высокие стандарты безопасности.
— Проводить оценки безопасности, моделирование угроз и аудиты AWS и Kubernetes.
— Сотрудничать с командами разработки и эксплуатации для внедрения лучших практик безопасности в CI/CD.
— Мониторить и реагировать на инциденты безопасности в облаке, выявлять причины и рекомендовать меры по устранению.
— Обеспечивать соответствие требованиям комплаенса (SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS).
— Наставлять инженеров и продвигать культуру облачной безопасности в организации.
Требования:
— Опыт работы в облачной безопасности не менее 5 лет, глубокие знания AWS.
— Профессиональные навыки в области безопасности Kubernetes: защита кластеров, RBAC, сетевые политики, управление уязвимостями контейнеров.
— Экспертное владение Terraform.
— Знание сервисов безопасности AWS (IAM, GuardDuty, Security Hub, CloudTrail, WAF).
— Знакомство с CNAPP решениями (Wiz) и SIEM (Panther).
— Понимание безопасного жизненного цикла разработки ПО, безопасности CI/CD и DevSecOps.
— Желательны сертификаты AWS Certified Security – Specialty, Certified Kubernetes Security Specialist (CKS), Terraform Associate.
— Приветствуются сертификаты SANS или OffSec.
— Отличные навыки решения проблем, коммуникации и лидерства.
Условия:
— Удалённая работа из США (SF, NYC или Remote).
— Конкурентная зарплата и пакет вознаграждений, включая акции, медицинские льготы и гибкий отпуск.
Дополнительно:
— Работа в команде инженеров, тесное сотрудничество с командой безопасности.
— Технологический стек включает Typescript, React, Apollo GraphQL, Redux, Express, Postgres, Redis, Kubernetes, Terraform, Helm, AWS.
Задачи:
— Разработка высоконагруженных backend-сервисов и внутренних API на Go.
— Проектирование и развитие микросервисной и распределённой архитектуры: идемпотентность, консистентность, retries, deadlines, отказоустойчивость.
— Написание конкурентного кода на goroutines, channels и примитивах синхронизации.
— Проектирование REST/gRPC API и согласование контрактов с другими командами.
— Асинхронное взаимодействие сервисов через брокеры (Kafka, NATS, RabbitMQ).
— Работа с БД: проектирование схем, индексы, оптимизация запросов, транзакции; Redis для кэша и хранения.
— Профилирование и оптимизация: CPU, память, аллокации, GC, throughput и latency.
— Тестирование: unit- и integration-тесты.
— Docker и Kubernetes: деплой, ресурсы, health checks.
— Участие в построении CI/CD.
— Мониторинг, логирование, трейсинг, алерты и дашборды.
— Code review, участие в архитектурных решениях и техдизайне.
— Управление техдолгом и рефакторинг.
— Разбор production-инцидентов, повышение надёжности.
— Документирование технических решений.
Требования:
— Коммерческая разработка от 5 лет, из них опыт production-разработки на Go от 3-4 лет.
— Глубокое знание Go: goroutines, channels, примитивы синхронизации, паттерны конкурентности, memory model, GC, runtime.
— Опыт написания конкурентного кода без гонок данных.
— Умение профилировать и оптимизировать приложения с помощью pprof (CPU, память, аллокации).
— Опыт работы с generics.
— Понимание сетевого программирования.
— Опыт разработки высоконагруженных и распределённых систем.
— Опыт проектирования микросервисной архитектуры.
— Понимание event-driven архитектуры и асинхронного взаимодействия между сервисами.
— Сильные навыки System Design.
— Понимание принципов отказоустойчивости: retries, deadlines, идемпотентность, консистентность данных.
— Опыт проектирования и разработки HTTP / REST / gRPC API.
— Уверенное знание SQL и PostgreSQL или MySQL: сложные запросы, CTE, оконные функции, индексы, транзакции, оптимизация.
— Опыт работы с NoSQL-хранилищами.
— Практический опыт работы с Redis.
— Опыт работы с одним или несколькими брокерами сообщений: Kafka, NATS/JetStream, RabbitMQ.
— Опыт работы с Docker и Kubernetes: деплой, управление ресурсами, health checks, readiness/liveness probes.
— Опыт работы с Git и CI/CD (GitLab CI, GitHub Actions, TeamCity или аналоги).
— Хорошее понимание Linux, сетей и TCP/IP.
— Опыт написания unit- и integration-тестов.
— Опыт работы с мониторингом (Prometheus, Grafana), логированием и трейсингом.
— Опыт проведения code review и участия в принятии архитектурных решений.
— Умение документировать технические решения.
Будет плюсом:
— Опыт построения observability: OpenTelemetry, Jaeger, ELK.
— Опыт работы с CI/CD и GitOps: ArgoCD и аналоги.
— Опыт работы с распределёнными и NoSQL-базами данных: ClickHouse, MongoDB, YDB, CockroachDB.
— Опыт работы с IAM, OAuth2/OIDC, mTLS и безопасным межсервисным взаимодействием.
— Знание Python для скриптов, автоматизации и работы с legacy-кодом.
Условия:
— Поток действительно интересных проектов, релевантных твоему опыту и с учетом текущей загрузки.
— Формат работы 5/2, полная или частичная занятость.
— Оформление в удобном для тебя формате: ИП или самозанятость.
— Полная удаленка.
— Возможность менять проекты внутри компании — с учётом твоей экспертизы, интереса и текущей загрузки.
— Прозрачность условий и коммуникации, поддержка на всех этапах до выхода на проект и во время работы.
Задачи:
— Разработка и поддержка full-stack приложений с использованием Laravel, React и Next.js.
— Интеграция AI-решений с использованием LLM и FastAPI.
— Настройка и поддержка DevOps процессов, включая CI/CD, Docker и автоматизацию релизов.
— Управление пользовательским контентом и файлами через S3 хранилище MinIO с использованием Laravel Spatie Media Library.
— Организация безопасного хранения и выгрузки данных из Postgres, Surreal и S3 с шифрованием.
— Реализация полнотекстового поиска с защитой данных.
Требования:
— Опыт работы 7 лет в full-stack разработке, DevOps и AI-интеграциях.
— Уверенное владение Laravel, React, Next.js, FastAPI.
— Опыт работы с базами данных PostgreSQL и Surreal.
— Навыки настройки CI/CD, Docker, работы с S3 и MinIO.
— Знание методов шифрования данных и безопасности.
Условия:
— Возможность работы full-time, part-time или по B2B.
— Удалённый формат работы.
— Зарплата от $2500 в месяц на руки (примерно $15 в час), обсуждаемо.
Дополнительно:
— Резюме доступно по ссылке: https://docs.google.com/document/d/1681p8QLtPeoIzDwnPKgVVHfL51F2Y1CsS_l73OQchBE/
— Контакт для связи: Telegram @ekangash
— Примеры проектов и портфолио доступны на https://unstock.net и GitHub/GitLab.
Задачи:
— Развертывание и эксплуатация Bitcoin Core nodes.
— Построение отказоустойчивой инфраструктуры для backend-сервисов.
— Мониторинг состояния Bitcoin-нод и внутренних сервисов.
— Настройка metrics, logging, alerting и dashboards.
— Secrets management и безопасная работа с credentials.
— Backup и disaster recovery.
— Автоматизация deployment и infrastructure provisioning.
— CI/CD.
— Контроль доступов и сегментация инфраструктуры.
— Анализ и устранение production-инцидентов.
— Capacity planning и оптимизация ресурсов.
— Совместная работа с security engineer над hardening инфраструктуры.
Требования:
— Опыт DevOps/SRE в production-системах.
— Linux на уверенном уровне.
— Docker и контейнерная инфраструктура.
— Опыт с Kubernetes или аналогичными orchestration-платформами.
— Infrastructure as Code: Terraform, Ansible или аналоги.
— Опыт построения monitoring/alerting систем.
— Понимание сетей, firewall, TLS и управления доступом.
— Практический опыт secrets management.
— Опыт построения backup/recovery процессов.
— Умение расследовать production-инциденты.
Будет плюсом:
— Опыт эксплуатации Bitcoin Core nodes.
— Понимание Bitcoin P2P/networking.
— Опыт эксплуатации blockchain infrastructure.
— Опыт с security-sensitive или financial infrastructure.
— Опыт защиты публичных сервисов от DDoS/DoS.
— Опыт построения privacy-oriented инфраструктуры.
Что важно в этой роли:
Для проекта критична не только доступность сервисов, но и минимизация инфраструктурных рисков и утечек метаданных. Поэтому нам нужен инженер, который рассматривает security и privacy как часть инфраструктурной архитектуры, а не как отдельный этап после запуска.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.
Overview
As a Sr. Staff Mobile Engineer, you'll be a defining technical voice on a multi-platform app built on Kotlin Multiplatform, shipping across Android, iOS, and additional targets from a shared codebase. You'll combine strategic thinking with hands-on execution — leading architecture decisions, setting engineering standards, and guiding engineers across the organization. Your impact will extend well beyond your immediate team, shaping how we build across platforms at scale and influencing the long-term direction of our mobile engineering practice.
Our engineering strategy centers on KMP and Compose Multiplatform to deliver high-quality, consistent experiences across platforms. At this level, you won't just work within that strategy — you'll help define and evolve it.
Responsibilities
Own the multiplatform engineering strategy across Android and shared KMP layers — setting technical direction for the team and influencing architecture decisions across the broader mobile organization
Lead end-to-end execution of complex, multi-quarter features and systems, from architecture and design through deployment and continuous refinement across multiple platform targets
Define and enforce engineering principles and best practices across Android and KMP surfaces, raising the standard for the entire mobile organization
Drive architectural decisions across a layered, multi-module KMP codebase — establishing patterns for shared business logic, Compose Multiplatform UI, and cross-platform state management that scale across teams
Partner with shared platform teams to shape contracts, shared standards, and a unified UI component library that works consistently across platforms and product lines
Drive high-impact technical decisions in close partnership with product, design, and executive stakeholders — balancing immediate business goals with long-term scalability
Champion software quality, testability, operational metrics, and build system health across the organization, holding teams to a higher standard
Mentor and grow engineers at all levels, providing technical coaching that compounds across teams and fosters a culture of continuous learning
Lead incident resolution as part of the on-call rotation and proactively remove cross-team blockers to maintain momentum on complex, multi-platform projects
Model rigorous code reviews that elevate standards across the codebase and influence how the broader team approaches quality
Experience and Skills
10+ years of experience building highly scalable, consumer-facing Android applications with a strong track record of sr. staff-level technical leadership and cross-platform ownership
Expert-level Kotlin — deep mastery of coroutines, flows, language idioms, and best practices; proven ability to drive standards and mentor engineers at all levels
Deep KMP fluency — hands-on experience developing and scaling shared business logic in a large, multi-module KMP codebase, with the ability to lead others and define the path forward
Strong command of MVI and reactive architecture patterns across Android and shared KMP layers, with experience applying them consistently at scale
Gradle and build system expertise — multi-module projects, convention plugins, dependency management, and build performance in large codebases
Experience with CI/CD pipelines, SDK versioning strategies, and automated release management across mobile platforms and libraries
Hands-on experience with Compose and Compose Multiplatform, with deep knowledge of Android platform best practices, design system standards, and end-user considerations
Proven ability to communicate complex technical decisions clearly to engineers, executives, and non-technical stakeholders
Strong track record of driving Agile/SCRUM process improvements and delivery excellence across teams in fast-moving, large-scale environments
Team-first mentality with the drive to raise the bar continuously
Strong Desired
Compose Multiplatform experience across Android, iOS, desktop, and additional targets
Experience with KSP-based codegen, Koin, or similar DI patterns in a KMP environment
Familiarity with feature flag systems, mobile observability tooling, and platform integration patterns
Familiarity with distributed systems and event-driven architect
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-Remote
#LI-AL1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$204,250
—
$268,750 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Singapore
About the Job:
As a Senior Enterprise Account Executive, you will play a pivotal role in winning, nurturing and expanding relationships with Large Enterprise accounts within your designated territory. You should possess exceptional drive to build new business, using stakeholder development, business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility representing a fast-growing leader in an exciting new category. We have full confidence in your ability to make the right decisions and drive results autonomously.
LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success.
Responsibilities:
Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. You'll lead the market penetration in your territory.
Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives.
Ensure Successful Adoption: Ensure the seamless expansion of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction.
Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises.
Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers.
Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively.
About You:
Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities.
Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly.
Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. You are comfortable selling to technical, knowledgeable personas.
Excellent Communication: Your written and spoken communication skills are outstanding.
Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy.
Adaptability: You excel in a fast-paced and dynamic organizational setting.
Qualifications:
10+ Years of Enterprise (closing) Sales Experience
Extensive experience in a senior sales role, specifically selling technical solutions to Key Accounts in the region
Demonstrable track record of consistently meeting or exceeding quota expectations.
You possess the expertise to navigate consultative, value-driven sales cycles with Executive-level stakeholders at Key Enterprise companies.
You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively landing and expanding business within large enterprise accounts.
Recent experience working for an emerging technology software company is a significant plus.
Understanding of DevOps practices and technologies, including CI/CD pipelines, automation, cloud infrastructure, and containerization.
Business level language proficiency with any one of the languages- Korean, Bahasa Indonesian, or Japanese
Familiarity with and experience using the MEDDPIC sales methodology is advantageous.
Travel: expected range of 25% to 50%
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities.
As a
Staff Data and AI Engineer
on the Enterprise Data & AI team, you will build the governed data foundations that power enterprise analytics, automation, and applied AI. Your primary focus will be data architecture and data engineering, where you will be responsible for designing and operating production data pipelines in Databricks, integrating & curating data through a medallion architecture, and defining semantic and domain models in Unity Catalog with subject-matter experts.
You will also build agents and retrieval-augmented applications directly on this governed data using Databricks capabilities such as Unity Catalog functions, Mosaic AI, and model serving. You will own your systems from architecture through production operations, applying strong engineering, data quality, security, evaluation, and observability practices throughout
The ideal candidate is a hands-on data and software engineer who can turn ambiguous enterprise needs into reliable data products and focused AI-enabled solutions.
The role will report to the Senior Manager, Enterprise Data and AI.
Responsibilities:
Data Pipelines and Semantic Layer (Primary)
Build and operate pipelines that ingest source-system data into Databricks using a medallion architecture across bronze, silver, and gold layers, with lineage, provenance, access controls, and logging.
Partner with subject-matter experts to define and evolve domain, ontology, and semantic models in Unity Catalog, then curate reliable data products into those models.
Own data quality for the pipelines and products you build, implementing tests, monitoring, and alerting so issues surface before they reach downstream consumers.
Integrate enterprise systems through APIs, events, and middleware while applying appropriate authentication, retries, reconciliation, and auditability.
Agents on the Databricks Data Layer (Secondary)
Build production agents and retrieval-augmented applications grounded in governed Databricks data, using Unity Catalog functions as tools and Mosaic AI or model-serving capabilities.
Add authorization, approvals, and auditability for consequential actions performed through agents or AI-enabled orchestrations.
Create evaluation sets and observability for the agents you ship, including groundedness, latency, cost, and production feedback, and use the results to improve them.
Engineering Fundamentals
Apply solid engineering practices, including automated testing, code review, CI/CD, documentation, on-call support, and concise design notes.
Own architecture decisions for your systems and communicate material tradeoffs clearly to technical and business partners.
Required Qualifications:
Bachelor’s degree in a related field, or equivalent practical experience.
8+ years of experience in data engineering, software or application engineering, or an adjacent enterprise technology role.
Hands-on experience building production data pipelines, including ingestion, semantic or domain modeling, data quality, and lineage.
Hands-on Databricks experience, including Unity Catalog, medallion architecture, and Mosaic AI or model serving.
Hands-on experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications, grounded in data pipelines you built.
Proficiency in Python and strong software engineering fundamentals, including testing, code review, CI/CD, deployment, and production support.
Experience integrating enterprise systems through APIs, events, or middleware, including authentication, retries, reconciliation, and auditability.
Experience with an LLM or cloud AI platform such as Vertex AI, Anthropic, or OpenAI and an automation platform such as Workato, n8n, Camunda, or similar.
Working knowledge of data governance, privacy, and security practices applied to production data pipelines and products.
Desired Qualifications:
Experience with the Mosaic AI Agent Framework or Unity Catalog functions used as agent tools.
Experience with enterprise or federated search, vector databases, or permission-aware retrieval.
Experience with agent frameworks such as LangGraph, Pydantic AI, LangChain, or CrewAI.
Experience with LLM or agent evaluation and observability, such as MLflow tracing.
Experience with dimensional modeling or master data management.
Experience integrating Workday, ServiceNow, Coupa, Concur, Oracle, OneStream, or Ironclad.
Experience with GCP or AWS data services, dbt, containers, or serverless computing.
For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position.
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Задачи:
— Проектировать и разрабатывать микросервисы на Go
— Развивать существующие доменные сервисы: рефакторинг, оптимизация, ликвидация технического долга
— Проектировать схемы данных и миграции PostgreSQL под нулевой downtime
— Работать с асинхронным взаимодействием: топология Kafka, идемпотентность, гарантии доставки, обработка ошибок
— Проводить code review, менторить менее опытных коллег, участвовать в технических интервью
Требования:
— Глубокое понимание Go
— PostgreSQL на уровне проектирования схем и оптимизации
— Опыт проектирования и эксплуатации микросервисов
— Опыт с брокерами сообщений (Kafka или аналоги)
— Docker, Kubernetes, работа с CI/CD пайплайнами
— Практика написания тестов
— Опыт работы с ИИ-инструментами
Задачи:
— Проектирование, внедрение и поддержка DevOps-инструментов для дата-пайплайнов и платформ.
— Поддержка и автоматизация ETL-воркфлоу (например, Spark, Airflow).
— Создание и управление мониторингом и наблюдаемостью качества данных (DBT), дата-пайплайнов и систем хранения.
— Внедрение и поддержка инфраструктуры хранения данных на AWS (S3, EC2, сеть).
— Интеграция и поддержка Project Nessie как транзакционного каталога для Data Lakes с семантикой, похожей на Git.
— Тесное взаимодействие с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования дата-задач и пайплайнов.
— Автоматизация деплоя и CI/CD процессов с использованием GitLab CI/CD.
— Обеспечение лучших практик безопасности при работе с чувствительными данными.
— Написание автоматизации инфраструктуры на Python, Bash, Ansible.
— Документирование систем, пайплайнов и DevOps-процессов.
Требования:
— Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными.
— Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности).
— Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie.
— Солидные знания AWS (S3, EC2, IAM, сеть).
— Владение скриптингом и автоматизацией (Python, Bash, Ansible).
— Опыт работы с CI/CD пайплайнами (GitLab).
— Опыт с мониторинговыми стеками (Prometheus, Grafana, ELK).
— Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes).
— Понимание концепций управления данными.
— Сильные коммуникативные навыки и проактивный подход.
Желательно:
— Опыт работы с потоковой обработкой данных в реальном времени.
— Знание инфраструктуры как кода (Terraform).
— Знакомство с безопасностью в дата-инжиниринге (IAM, шифрование, контроль доступа).
— Опыт работы с высокопроизводительными системами или в торговой среде.
Fledge — международная продуктовая компания, развивающая dating-продукт для рынков США, Европы и других стран. Полностью распределённая команда.
Задачи:
— Развивать и поддерживать систему автоматизированного тестирования продукта (UI и API на Python)
— Проектировать и совершенствовать архитектуру автотестов, обеспечивая их стабильность, читаемость и масштабируемость
— Покрывать автотестами существующий функционал и новые продуктовые сценарии
— Поддерживать тестовую инфраструктуру и интеграцию автотестов с CI/CD
— Анализировать требования и участвовать в обсуждении новых функций на ранних этапах
— Разрабатывать и поддерживать тестовую и техническую документацию
— При необходимости проводить ручное функциональное и регрессионное тестирование
— Выявлять дефекты, оформлять их в Jira и сопровождать процесс исправления
— Участвовать в подготовке и сопровождении релизов
— Взаимодействовать с разработчиками, аналитиками, продакт-менеджерами и QA-командой
— Предлагать и внедрять улучшения процессов тестирования и автоматизации
Условия:
— Полностью удалённая работа
— Международная распределённая команда
— Высокая степень самостоятельности и возможность влиять на технические решения
— Быстрое принятие решений без лишней бюрократии
Workplace: remote
Requirements
Programming Languages: Solid expertise in Java, familiar with the modern language features (records, sealed types, pattern matching, virtual threads). The codebase targets Java 25
Framework & API Design: Ability to design public APIs and plugin SPIs consumed by other teams, with a knowledge of binary compatibility, deprecation practice, etc.
Concurrency & Reliability: Solid understanding of multithreading, timeouts, cancellation and interruption
Backend & Services: Knowledge of Spring Boot, background job scheduling, retry and idempotency strategies, and safe allocation of a limited pool of shared resources
Build & Release Tooling: Strong understanding of multi-module Gradle (version catalogs, BOMs, toolchains), publishing to an internal artifact repository (Artifactory or similar), and CI/CD pipelines (GitHub Actions, Jenkins)
Proficiency in Git/Gitflow
Education: Bachelor’s degree in Computer Science, Engineering, or a related field
Nice to have
Architecture & Operations: Containerization technologies (Docker, Kubernetes) and familiarity with monitoring/logging tools (Prometheus, ELK stack, New Relic)
Device Infrastructure: Experience with device farms or a self-managed device lab (HeadSpin, BrowserStack, Sauce Labs), covering session lifecycle, port forwarding and unreliable hardware
Domain & Industry Experience: Experience working within a game development environment or the mobile gaming industry, including reading C# and automating game UIs that expose no native element tree
Mobile Automation: Ability to design and execute automated tests for native mobile applications (Appium, XCUITest, Espresso) across iOS and Android, on both real devices and simulators
Responsibilities
Core Framework Architecture: Design, implement, and maintain the underlying core test automation engine and public/plugin APIs in Java 25
Backend & Infrastructure Orchestration: Develop resilient Spring Boot microservices, job scheduling, and safe resource allocation pools to manage test execution environments
Build & CI/CD Tooling: Configure and maintain multi-module Gradle builds, internal artifact publishing, and automated deployment pipelines
Cross-Team Enablement: Provide stable, well-designed APIs and extension points for AI Agent Developers and Automation QA Engineers building game-specific automated tests
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Dina
hh@itransition.com
Location: Pune, India
Workplace: Hybrid
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for a Senior Go Developer to design and develop high-performance, secure, and reliable software components for enterprise-scale data collection and processing systems. You'll be building software that runs across Windows and macOS, processes high-frequency events, securely buffers and transmits data, and integrates with cloud-based data platforms — with production-grade engineering practices throughout.
WHAT YOU'LL DO
- Design, develop, and maintain high-performance applications and background services in Go, following clean architecture and production-grade engineering practices.
- Build multi-threaded and concurrent processing components using goroutines, channels, synchronization primitives, worker pools, and efficient memory-management techniques.
- Develop reliable event collection, processing, batching, compression, serialization, and transmission mechanisms for high-volume telemetry and event data.
- Implement robust local persistence and encrypted buffering — supporting offline operation, checkpointing, retry queues, recovery, and protection against data loss.
- Develop secure integrations with cloud platforms and data services using REST APIs, HTTPS, SDKs, and other integration mechanisms.
- Implement enterprise-grade authentication and security mechanisms, including RSA key-pair authentication, JWT/OAuth, TLS, certificate validation, encryption, and secure credential handling.
- Design resilient distributed-client behavior — idempotency, duplicate prevention, exponential-backoff retries, acknowledgement handling, failure recovery, rate limiting, and network resilience.
- Develop efficient data-processing capabilities across formats such as JSON, Parquet, and Protocol Buffers.
- Optimize applications for CPU, memory, disk I/O, network utilization, startup time, and long-running stability using Go profiling and diagnostic tools.
- Develop and support cross-platform software for Windows and macOS, including interaction with OS APIs, system services, file systems, networking, and OS-native security facilities.
- Build comprehensive unit, integration, performance, stress, resilience, and security tests.
- Implement production-grade logging, metrics, health monitoring, diagnostics, and telemetry — ensuring sensitive information is never exposed through operational logs.
- Contribute to application packaging, versioning, configuration management, automated deployment, upgrade, rollback, and enterprise software-distribution strategies.
- Provide senior-level technical leadership through architecture discussions, design reviews, code reviews, troubleshooting, and mentoring.
REQUIRED SKILLS & EXPERIENCE
- 7+ years of software development experience with strong hands-on expertise in Golang.
- Advanced knowledge of Go concurrency — goroutines, channels, mutexes, contexts, synchronization, and worker-pool patterns.
- Strong understanding of data structures, algorithms, memory management, and performance optimization.
- Experience building long-running services, agents, system utilities, telemetry applications, or distributed client applications.
- Strong experience with REST APIs, HTTPS, TLS, JSON, authentication, and secure API integration.
- Experience implementing RSA/public-key cryptography, JWT/OAuth, certificate-based authentication, and secure credential management.
- Experience with local persistence, caching, queueing, batching, compression, retry, and failure-recovery patterns.
- Knowledge of Parquet or similar columnar/binary data formats and high-volume data-processing patterns.
- Strong experience with unit testing, integration testing, mocking, profiling, debugging, and performance testing in Go.
- Good understanding of CI/CD, Git, code-quality tooling, dependency management, vulnerability scanning, and secure SDLC practices.
PREFERRED QUALIFICATIONS
- Experience with Snowflake or comparable cloud data platforms and cloud SDK integration.
- Experience with Windows and/or macOS system programming, enterprise endpoint software, or large-scale telemetry systems.
- Familiarity with C/C++ or .NET interoperability, Windows APIs, macOS APIs, or OS-level encryption and key stores.
- Experience with MSI/MSIX packaging and enterprise device-management platforms.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: Lithuania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Описание проекта
Информационно-аналитическая веб-платформа для профессиональных участников финансового рынка (биржевые данные, аналитика, новости). Микросервисная архитектура, высокая цена ошибки в данных. Перестраиваем разработку под модель, где большую часть кода пишут AI-агенты, а инженер — постановщик задач, архитектор и контролёр качества.
Задачи:
— закрывать несколько ролей: системный анализ → проектирование → реализация → базовое QA → вывод в прод
— постановка задач с проверяемым результатом
— декомпозиция фичи: что делаем сами, что отдаём агенту, что согласуем
— лидирование разработки: планирование, код-ревью, менторинг
— end-to-end ownership: фича от идеи до прода
Требования:
— backend-разработка от 5 лет, из них часть на Python
— писать надо будет на Python
— микросервисы, понимание их слабых мест
— SQL, проектирование реляционных БД; PostgreSQL, MongoDB
— паттерны (Repository, Service, Unit of Work), DDD, CQRS
— Docker, Kubernetes (основы), CI/CD (GitLab CI), мониторинг (Prometheus, Grafana, ELK)
— работа с нечёткими требованиями: user stories, критерии приёмки, ТЗ
— опыт с AI-ассистентами (Claude Code, Cursor, Copilot): делегация задач, инженерия контекста, критическая верификация результата
— лидирование разработки от 2 лет
— быстрая обучаемость, системное мышление, самостоятельность
— готовность совмещать роли и работать в высоком темпе
— в резюме до отклика обязательно указать опыт с задачами СА и AI-инструментами (что, для чего, результат)
Будет плюсом:
— REST API (CRUD, пагинация), обратносовместимые API
— Kafka, RabbitMQ, потоковая обработка ETL, Apache Airflow
— PostgreSQL FTS, ElasticSearch, WebSocket
— OAuth/OpenID, Keycloak, RBAC/ABAC
— Yandex Cloud, Golang, Django
— опыт с финансовыми/биржевыми данными
Условия:
— грейд: Senior
— загрузка: 100%
— срок подключения: до конца года с продлением
— отпуск: не ранее чем через полгода
Location: Romania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
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