Задачи:
— Проектирование и реализация сложных фич: модели, миграции, сервисный слой, API.
— Проведение code review и постановка технических стандартов для команды.
— Диагностика и устранение проблем производительности: профилирование запросов, кэширование (django-cachalot, Redis), оптимизация ORM.
— Проектирование real-time архитектур на Django Channels (WebSocket, ASGI/Daphne).
— Работа с Celery: проектирование очередей, мониторинг, обработка сбоев.
— Участие в проектировании схемы БД, планировании миграций, оценке технического долга.
— Менторинг middle-разработчиков, помощь в росте команды.
— Работа с Kubernetes: деплой, диагностика, конфигурация.
Требования:
— Опыт коммерческой разработки на Python/Django — от 5 лет.
— Глубокое понимание Django internals: ORM, middleware, signals, migrations.
— Сильные навыки проектирования схемы PostgreSQL: индексы, партиционирование, EXPLAIN ANALYZE.
— Опыт с ASGI-стеком: Daphne, uvicorn, Django Channels.
— Опыт построения систем на Celery с несколькими очередями и приоритетами.
— Понимание принципов 12-factor app, опыт с Kubernetes (kubectl, Helm).
— Опыт написания тестов: pytest, factory_boy, моки, интеграционные тесты.
— Умение читать и улучшать чужой код, выстраивать процессы review.
Будет плюсом:
— Опыт с системами реального времени (WebSocket, SSE, long polling).
— Работа с S3-совместимыми хранилищами (Yandex Object Storage / AWS S3).
— Опыт интеграции внешних платёжных систем или уведомлений (FCM, Telegram Bot).
— Применение AI-инструментов для повышения личной и командной эффективности.
Условия:
— Конкурентная зарплата 280 – 320 тыс. р.
— Удалённый формат работы.
— Техническое лидерство с реальным влиянием на архитектуру продукта.
— Дружный коллектив и открытую культуру обратной связи.
— Условия оформления: ИП или СЗ первые 3 месяца, далее рассматриваем оформление в штат.
— Важно наличие расчётного счёта в РФ.
Location: Lisbon, Portugal; Porto, Portugal
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Sofia, Bulgaria
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Barcelona, Spain; Madrid, Spain
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Georgia; Belarus; Armenia; Serbia; Moldova; Kyrgyzstan; Uzbekistan; Dubai; Estonia; Finland; Greece; Montenegro; Poland; Romania; Bulgaria
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We’re looking for a Linux Administrator to join our Ops team — a team working at the intersection of infrastructure and software development, supporting applications built with PHP and Go.
The Ops team is responsible for keeping the infrastructure and services behind our products stable, secure and reliable in production. The team works across virtual machines, databases, CI/CD, monitoring, automation and internal platform services such as Thanos, Prometheus, Grafana, Ceph and profiling systems.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu.
We work with Scrum, Agile and a data-driven approach, with two-week sprints and a strong focus on continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You won’t be focused on just maintaining servers or working with isolated infrastructure components.
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Administer Linux servers (Ubuntu) across development and production environments.
Administer PostgreSQL databases and Greenplum clusters, including performance and reliability troubleshooting.
Administer and support KeyDB, ClickHouse and Kafka.
Configure and maintain infrastructure services such as Nginx, Jenkins, GitLab CI, DataHub, Allure and Airflow.
Automate infrastructure and operational tasks using Ansible, as well as scripting with Python, Bash and other languages.
Work with Docker and Kubernetes environments, including application deployments using Helm.
Monitor production systems, troubleshoot incidents and improve system performance and reliability.
Build and maintain CI/CD pipelines, working with tools such as GitLab CI and Jenkins.
Work with OpenStack and AWS infrastructure.
Support development teams with infrastructure-related issues and their working environments.
Work closely with the Infrastructure team to troubleshoot issues and coordinate infrastructure changes, including new hardware provisioning.
Contribute to security practices and PCI DSS requirements.
Requirements
3+ years of hands-on experience administering Linux servers in production environments.
Strong practical knowledge of Linux internals, networking, system services and troubleshooting.
Experience administering PostgreSQL and/or Greenplum.
Experience with containerization and orchestration technologies, including Docker and Kubernetes.
Hands-on experience with Ansible for infrastructure automation.
Good scripting skills with Python and/or Bash.
Hands-on experience with CI/CD, particularly GitLab CI and/or Jenkins.
Experience with monitoring, logging and system profiling, particularly Prometheus and Grafana.
Fluent Russian (C2 or higher) for communication with the team.
English B1+ for technical documentation and written communication.
Nice to have
DBA experience, including hands-on administration of databases and data infrastructure.
Experience with Patroni.
Experience supporting high-load or distributed production systems.
Experience with AWS and OpenStack.
Experience with PCI DSS.
Experience reading and/or writing code in PHP/Go.
Experience with Ceph.
Experience with fintech/trading.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Prague
Job Overview
We are looking for an
Analytics Engineer
who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.
Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.
Reports to
Director of Mobile and New Games
What will you do?
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
Mentor analysts on dbt, SQL modeling, testing and code review
Tune Snowflake performance and cost, improve pipeline reliability and monitoring
Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team
What are we looking for?
4+ years of experience in analytics engineering, data engineering or a similar role
Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
Strong SQL and data modeling skills
Production experience with Snowflake, including performance tuning and cost awareness
Python for data tooling and automation
Experience with AWS services used in data platforms (Lambda, S3)
Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
Experience with mentoring or supporting analysts
Fluent English
What additional skills will help you stand out?
Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
Background in gaming, mobile apps or other consumer product analytics
Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
dbt certification
Work mode
Hybrid (3 days of work from the office)
This role isn't eligible for relocation & immigration support.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Prague include:
5 weeks of Annual Leave per calendar year
Additional paid time off
Sick Leave Compensation, Maternity & Paternity Leave Benefits
Career development and education opportunities within the company
Meal card contribution
Public transportation allowance
Premium private healthcare
Mental well-being program (iFeel)
Multisport Employee discounts
Personal Gaming Account
Coffee, fruits, and snacks in the office
Company events
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Belgrade
Job Overview
We are looking for an
Analytics Engineer
who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.
Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.
Reports to
Director of Mobile and New Games
What will you do?
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
Mentor analysts on dbt, SQL modeling, testing and code review
Tune Snowflake performance and cost, improve pipeline reliability and monitoring
Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team
What are we looking for?
4+ years of experience in analytics engineering, data engineering or a similar role
Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
Strong SQL and data modeling skills
Production experience with Snowflake, including performance tuning and cost awareness
Python for data tooling and automation
Experience with AWS services used in data platforms (Lambda, S3)
Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
Experience with mentoring or supporting analysts
Fluent English
What additional skills will help you stand out?
Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
Background in gaming, mobile apps or other consumer product analytics
Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
dbt certification
Work mode
Hybrid (3 days of work from the office)
This role isn't eligible for relocation & immigration support.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:
Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave Compensation, Maternity Leave Benefits
Premium Private Health Insurance
Career development and education opportunities within the company
English clubs and platform for learning languages
Mental well-being program (iFeel)
Commuting allowance
Company events
FitPass membership
Discounts for employees
Personal Gaming Account
Coffee, fruits, and snacks in the office
On-site canteen with subsidized prices for food and drinks
Seniority Awards
Referral program - you can recommend the best talents to the Company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Nicosia
Job Overview
We are looking for an
Analytics Engineer
who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.
Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.
Reports to
Director of Mobile and New Games
What will you do?
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
Mentor analysts on dbt, SQL modeling, testing and code review
Tune Snowflake performance and cost, improve pipeline reliability and monitoring
Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team
What are we looking for?
4+ years of experience in analytics engineering, data engineering or a similar role
Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
Strong SQL and data modeling skills
Production experience with Snowflake, including performance tuning and cost awareness
Python for data tooling and automation
Experience with AWS services used in data platforms (Lambda, S3)
Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
Experience with mentoring or supporting analysts
Fluent English
What additional skills will help you stand out?
Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
Background in gaming, mobile apps or other consumer product analytics
Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
dbt certification
Work mode
Hybrid (3 days of work from the office)
This role isn't eligible for relocation & immigration support.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
21 days annual leave (additional days based on years of service: up to 25 days)
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave (10 days top-up to statutory allowance per year)
Maternity Leave (18 weeks top-up to statutory allowance per case)
Career development and education opportunities within the company
English Language courses fully covered by the company upon Manager’s approval
Private Health Care
Mental well-being program (iFeel)
Onsite gym and spa
Free parking close to the Nicosia offices, based on availability
Free drinks-equipped kitchen in every floor building
Eurobank benefits (if applicable)
Employee discounts (e.g. restaurants, bars, etc.)
Personal Gaming Account
Onsite canteen with subsidized prices for food and drinks
Company events, Social Clubs
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Indonesia; Philippines; Vietnam
Workplace: none
We're Osome
- an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time.
We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems.
What to expect:
You’ll handle real client accounts, not dummy data
Accuracy matters — mistakes don’t hide for long
You’ll communicate with clients and internal teams regularly
If you want to build confidence, judgement, and ownership, it will be.
What you'll do:
Hire, lead, and mentor an engineering team, providing guidance, feedback, and career development opportunities.
Ensure team alignment with company goals, translating business needs into clear technical objectives.
Drive team execution and delivery, ensuring high-quality, timely releases through agile methodologies.
Develop and enforce best engineering practices, maintaining high standards in code quality, architecture, and scalability.
Support and optimize team workflows, identifying bottlenecks and improving engineering processes.
Foster a strong engineering culture, promoting collaboration, accountability, and continuous improvement.
Collaborate with product managers and stakeholders, ensuring technical solutions align with business priorities.
Oversee system design and implementation, ensuring maintainability, security, and performance.
Ensure team adherence to DevOps and CI/CD best practices, reducing friction in deployment and releases.
Monit
or and optimize team performance, balancing speed, quality, and technical debt management.
Who you are:
3+ years experience as an engineering manager leading teams of 3 or more people.
Ability to understand business needs and translate them into technical requirements.
Strong proficiency in JavaScript, with TypeScript experience preferred. Familiarity with newer ECMAScript specifications.
Solid understanding of React (with hooks), Node.js (Koa or Express), and PostgreSQL.
Strong architectural skills, including an understanding of modular design, microservices, and Domain-Driven Design (DDD).
Experience in designing and implementing RESTful and WebSocket APIs.
Experience in building Authentication and Authorization system with Standard Protocols, RBAC, and Access Token Management.
Knowledge of security principles, including API security, encryption, and authentication.
Proficiency with Linux command line tools.
Familiarity with version control systems like Git, including branching strategies, feature toggles, and CI/CD principles.
Experience with cloud services (preferably AWS), including Lambda, SQS/SNS, RDS, S3, IAM, CloudWatch, CloudFormation, EC2, and API Gateway.
Strong knowledge of unit testing, end-to-end testing, and Test-Driven Development (TDD) principles.
You’ll leave this role better than you started. That’s the goal.
Our Benefits
Multi-cultural environment to enhance your global perspective.
Learning opportunities and mentorship from peers and leaders.
An agile working model focused on goals and performance.
Remote working arrangement.
Office laptop will be provided.
Equal Opportunity Statement
At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters.
Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today.
If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.
Location: Sydney
Workplace: Remote
ClickHouse is on a mission to grow a vibrant user community and establish ourselves as a cloud-first company. We are seeking an experienced Solutions Architect to help expand our presence in Australia by empowering customers and users to unlock the full potential of ClickHouse. This is an exciting opportunity to join after the general availability of our serverless Cloud product and play a pivotal role in defining how it is positioned and adopted in the market.
Our ideal candidate is a technical thought leader with strong customer facing skills, capable of bridging business objectives with technical solutions. In this role, you’ll serve as a trusted advisor, guiding clients on how to leverage ClickHouse for real time analytics, cloud native applications, and enterprise-scale workloads.
WHAT YOU’LL BE DOING
- Translate complex business and technical requirements into scalable solution designs, covering architecture, migrations, workflows, and data visualization.
- Work directly with stakeholders across every level; from the C-suite to data scientists and developers, to enable customer success.
- Evangelize ClickHouse’s vision and capabilities, driving adoption and securing strategic commitments.
- Apply a solution based approach to demonstrate and deliver customer value.
- Lead new initiatives that help customers transform raw data into actionable insights aligned with their business outcomes.
WHAT YOU BRING
- 5+ of experience with open source software business models; strong proficiency in cloud and infrastructure technologies.
- Hands on experience with scalable, highly available distributed systems.
- Proven ability to create proofs of concept (POCs) and reference implementations that drive customer adoption.
BONUS POINTS FOR
- Experience deploying applications or selling into environments with major cloud providers (AWS, GCP, Azure).
- Familiarity with database programming and data modeling.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Задачи:
— Разработка и внедрение ML-моделей прогнозирования спроса (временные ряды, градиентный бустинг, нейросети) на уровне SKU;
— Автоматизация пайплайнов ретрайна и мониторинга качества прогнозов в продакшене с использованием MLflow, Airflow, Docker;
— Интеграция внешних факторов (промо, погода, сезонность, макроэкономика) и сценарное "what-if" моделирование;
— Согласование иерархических прогнозов для оптимизации запасов в цепочке поставок (дефицит ↔ перепроизводство).
Требования:
— Уверенное владение Python (Pandas, NumPy, Scikit-learn);
— Продвинутый уровень SQL (оконные функции, CTE, оптимизация запросов);
— Опыт работы с Big Data: PySpark (распределённые данные > 100 ГБ);
— Знания MLOps: Airflow / Prefect, MLflow / Weights & Biases, Docker, CI/CD;
— Опыт работы с облачными платформами: AWS (SageMaker, S3, Redshift) или Azure / Yandex Cloud;
— Знания статистики: теория вероятностей, проверка гипотез, A/B-тестирование, байесовские методы;
— Бизнес-ориентация: понимание метрик (WMAPE, Fill Rate, оборачиваемость) и их влияния на P&L;
— Умение объяснять сложные вещи простым языком нетехническим менеджерам и закупщикам;
— Проактивность: самостоятельный поиск гипотез и точек роста, а не просто выполнение ТЗ;
— Стрессоустойчивость: работа с "грязными" данными и умение отстаивать качество прогнозов перед бизнесом.
Условия:
— Работа в офисе у м. Кунцевская, бизнес-центр Kutuzoff Tower;
— График работы 5/2 с 09:00 до 18:00;
— Официальное оформление по ТК РФ, официальная зарплата с больничными и отпусками;
— Заработная плата обсуждается на собеседовании;
— Корпоративные скидки на продукцию компании (алкоголь);
— Подарки сотрудникам и их детям на праздники.
Location: US
Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain.
PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience.
Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn’t be higher. We’re looking for a Customer Support Engineer to help developers and businesses get the most out of PlanetScale, resolve issues quickly, and build the support function that helps us scale.
What’s the job to be done?
You will advise and handle support requests from customers and developers on the PlanetScale platform.
You will respond to, debug, and resolve customer support issues through support tickets, customer Slack channels, public discussions, and other support channels.
You will help customers understand how to use PlanetScale effectively, including how to reason about queries, schema changes, application behavior, database connectivity, and production workflows.
You will create and improve internal and external documentation, support playbooks, troubleshooting guides, and customer-facing materials.
You will identify product gaps and recurring sources of customer friction, then work with Engineering to prioritize improvements.
You will contribute to the systems, processes, and practices that help PlanetScale deliver excellent developer-focused support at scale.
These attributes best describe you.
You are customer-focused, empathetic, and clear in how you communicate, while knowing when to push back in ways that help customers become successful on their own.
You have excellent debugging and troubleshooting skills, with the curiosity and persistence to follow issues across applications, databases, infrastructure, and product behavior.
You are comfortable stepping outside your comfort zone. Whether that means reading unfamiliar application code, digging into database behavior, testing a new framework, or learning a connector you haven’t used before, you’re willing to go where the problem leads.
You are a self-starting, enthusiastic individual who takes responsibility for outcomes and wants to make a meaningful impact on the business.
You can operate independently, but you know when to ask for help and how to bring the right people into an issue.
You are highly organized and able to operate in ambiguous or changing situations.
You are data-driven, team-oriented, and comfortable communicating across many audiences.
You enjoy working cross-functionally and translating customer pain into actionable product, documentation, and process improvements.
What you will need.
Experience supporting production applications, databases, developer tools, infrastructure, or other technical products.
Working knowledge of SQL, preferably with experience in MySQL and/or PostgreSQL.
Strong debugging skills and the ability to reason through application and database behavior.
Programming experience. You will not be programming full-time, but you should be comfortable reading and navigating unfamiliar code to understand customer issues.
Experience with common application frameworks, ORMs, database connectors, or application deployment patterns.
Willingness to explore new languages, frameworks, tools, and customer environments as needed.
Strong written and verbal communication skills.
Strong empathy for customers, developers, and teammates, with the ability to advocate for customer needs clearly and constructively.
What else will help you be successful.
Experience working in a remote organization.
Experience with cloud platforms such as AWS, GCP, or Azure.
Knowledge of monitoring, observability, and debugging tools.
Experience helping build support processes, documentation systems, or teams from an early stage.
Why PlanetScale.
We’re redefining how high-growth companies manage data at scale — and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Customer Support Engineer, you’ll be on the front lines helping developers and businesses solve real production problems, while also shaping the product, documentation, and support systems that make PlanetScale better for every customer.
PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America.
At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status.
If you have a disability, please let us know if there’s any way we can make the interview process better for you; we’re happy to accommodate!
Total Compensation and Pay Transparency
An employee’s total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process.
Base salary range: $150,000 - $200,000 USD
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London.
We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows.
We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience.
WHAT YOU’LL DO
- Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic
- Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms
- Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces
- Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes
- Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production
- Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries.
- Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail
- Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system
- Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite
- Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions
- Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting
WHAT YOU’LL NEED
- 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code
- You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS
- Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals
- SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it
- Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here
- Git, PR review, CI, staging and feature flags as your default way of working
- Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like
- Judgment about where a fix belongs, in code, in the agent or in the knowledge base
- A track record carrying signal between support, product and other functions and turning it into action
- Comfort managing your own work in a fast-moving environment, high ownership and high autonomy
- Genuine interest in AI, creative tools or both
WHAT SETS YOU APART
The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet.
FOR YOUR APPLICATION
During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role overview
We're looking for a Staff Network Systems Engineer to help drive the transition of our global network infrastructure from manually managed and inconsistent configurations to a standardised, version-controlled and increasingly automated operating model.
This hands-on staff-level individual contributor will establish Infrastructure as Code practices, reusable automation, automated validation and safe delivery pipelines. The role will reduce configuration drift, make changes repeatable and auditable, and help the wider team adopt modern software-engineering practices.
Working across network engineering, security, architecture and platform teams, you'll help frame and influence technical direction, create practical standards and guardrails, and remain actively involved in enterprise network engineering and operational delivery.
What you'll be doing:
Assess the network estate, toolchain and operational workflows; identify sources of configuration variance, manual effort and change risk; and help define a phased modernisation roadmap.
Establish the Infrastructure as Code operating model, including the authoritative source of truth, configuration standards, source control, peer review, testing, release governance and secure handling of credentials.
Build reusable automation using object-oriented or comparable programming languages such as Python and Go (Golang), together with Terraform, Ansible, APIs and configuration-management tooling.
Develop CI/CD pipelines with automated linting, testing, intended-state validation, drift detection, policy checks, approvals, controlled rollout and reliable rollback patterns.
Partner with engineering, architecture and security teams to translate network intent into version-controlled implementations and influence reference architectures, standards, lifecycle plans and service roadmaps.
Lead the safe migration of existing services into the automated model while remaining hands-on during complex delivery, business-as-usual operations, critical changes, troubleshooting and major incidents.
Participate in technical authority and design-review forums, mentor engineers, and ensure automation becomes a sustainable team capability rather than knowledge held by a single specialist.
What we are looking for:
A strong track record of modernising network infrastructure through automation or Infrastructure as Code in a large, complex production environment.
Strong software-engineering skills in object-oriented or comparable programming languages such as Python and Go (Golang), including maintainable code, structured data, API integration, testing, error handling and documentation.
Practical experience with Terraform, Ansible or comparable tooling, including reusable, idempotent automation components and controlled infrastructure delivery.
Strong working knowledge of Git, pull-request workflows, CI/CD pipelines, automated testing, release controls, policy enforcement and secrets management.
Deep enterprise networking knowledge across routing, switching, wireless, resilient design, network access control and secure remote connectivity, together with advanced Juniper Mist, EX Series and Junos experience or equivalent platform expertise.
Expert troubleshooting and engineering judgement, with experience supporting operational delivery, complex changes, major incidents and root-cause improvement.
Staff-level influence and communication skills, including shaping technical direction across teams, building consensus, contributing to governance forums and developing other engineers.
Desirable Experience
Network APIs and data models, including REST, NETCONF, RESTCONF, JSON, YAML and YANG-based workflows.
GitHub Enterprise, GitHub Actions, automated policy enforcement, artefact management and developer enablement.
Azure or AWS networking, enterprise authentication, Zero Trust principles and network observability platforms.
Architecture governance, technical authority panels, strategic vendor engagement and globally delivered service operations.
High-availability gaming, digital-media, creative or similarly demanding production environments.
Work Expectations and Measures of Success
This is a staff-level role combining hands-on engineering with technical leadership across a global network environment. You'll build production automation, guide others and remain engaged with operational delivery. The objective is to establish an engineering system the team can operate and improve over time while maintaining secure, resilient and supportable network services.
Success will be demonstrated through:
Increased coverage of network infrastructure managed through version-controlled automation.
Reduced configuration drift, manual intervention, operational toil and dependency on individual subject-matter experts.
Shorter and more predictable change lead times, with improved auditability, validation and rollback confidence.
Lower change-failure rates, maintained service reliability and faster recovery from configuration-related incidents.
Sustained adoption of automation standards, modules and delivery practices across the wider engineering team.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
Base $109,400 - $164,000 + Bonus & Benefits.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
seniorSofia, Bulgaria
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Prague; This role isn't eligible for relocation & immigration support
Belgrade; This role isn't eligible for relocation & immigration support
Nicosia; This role isn't eligible for relocation & immigration support
УдалённоseniorRemote: India; This role is only open to candidates based in Mumbai as you will be required to regularly meet with customers and partners located there
Indonesia; Philippines; Vietnam
УдалённоSydney
We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status
San Francisco
San Francisco
УдалённоRemote; Seattle, WA; London; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
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