Задачи:
— Проектирование, развертывание и сопровождение промышленной blockchain-платформы на базе Hyperledger Fabric в защищённом корпоративном контуре.
— Развертывание и сопровождение Hyperledger Fabric.
— Развертывание и сопровождение витрины, вспомогательных сервисов и chaincode в Kubernetes.
— Развертывание и сопровождение PostgreSQL для прикладных и вспомогательных компонентов платформы.
— Настройка TLS/mTLS, интеграция с PKI/УЦ, выпуск и ротация сертификатов.
— Построение и сопровождение CI/CD для инфраструктуры и релизов платформы.
— Автоматизация установки, конфигурирования, обновления и эксплуатации.
— Настройка мониторинга, логирования, и сбора метрик.
— Hardening серверов и контейнерной среды, настройка защищённого доступа, взаимодействие с ИБ и инфраструктурой.
Требования:
— Опыт работы в направлении DevOps от 5 лет.
— Уверенное администрирование Linux (Alt, Astra), опыт эксплуатации сервисов на виртуальных машинах, понимание systemd, сетевой настройки, файловых систем, SSH, журналирования и базового hardening.
— Уверенное знание Docker и/или Podman, практический опыт с Kubernetes в production, опыт работы с Helm, ingress controllers, secrets/configuration management.
— Практический опыт развертывания и сопровождения PostgreSQL.
— Опыт построения и сопровождения CI/CD, практический опыт с Jenkins и/или GitLab CI/CD.
— Практический опыт с Ansible, Terraform или аналогами, опыт автоматизации установки, конфигурирования, обновления и эксплуатации инфраструктуры.
— Уверенные навыки Bash и/или Python.
— Опыт настройки мониторинга, логирования, сбора метрик (OpenSearch, Prometheus, VictoriaMetrics, Zabbix, Grafana).
Условия:
— Опыт работы в аккредитованной IT-компании над социально значимыми уникальными проектами.
— Официальное трудоустройство с первого рабочего дня.
— Гибридный формат работы для локаций с офисами (3 дня в офисе, 2 дня удалённо), для остальных локаций — удалённо.
— Стабильный доход и квартальные премии.
— Компенсация 9 видов расходов: от КАСКО до путевок на отдых.
— Интересная программа внутреннего и внешнего обучения.
— Прозрачные условия для развития и карьерного роста.
— ДМС со стоматологией и международной страховкой.
Задачи:
— Проектирование контейнерной инфраструктуры с нуля, включая архитектуру Kubernetes-кластеров (выбор CNI-плагинов, сетевых политик, систем мониторинга).
— Создание шаблонов и стандартов для деплоя приложений с использованием Helm.
— Интеграция инфраструктуры с гибридной средой (On-premise + Cloud) и существующими сетевыми политиками в координации с администраторами сетей.
— Разработка регламентов и политик безопасности: формирование стандартов безопасности (hardening образов, RBAC), создание документации и процессов для CI/CD (Gitlab CI), управления секретами (Vault), резервного копирования.
— Внедрение политик сетевой безопасности (Network Policies) и механизмов контроля трафика (Ingress/Egress).
— Автоматизация инфраструктуры с помощью IaC (Terraform для облака, Ansible для конфигураций).
Требования:
— Опыт построения систем с нуля.
— Проектирование Kubernetes-инфраструктуры в гибридных средах.
— Разработка политик безопасности и стандартов для контейнеризированных приложений.
— Знание Kubernetes (архитектура кластеров, CSI, CRD, CNI: Calico/Cilium).
— Владение Helm, Terraform, Ansible.
— Опыт работы с Gitlab CI.
— Умение согласовывать требования между DevOps, сетевыми администраторами и ИБ.
— Практика документирования архитектурных решений и регламентов.
— Желательно: развертывание Service Mesh (Istio), Bash/Python для автоматизации.
— Ключевые компетенции: системное мышление, способность проектировать масштабируемую и отказоустойчивую инфраструктуру, умение формализовать бизнес-требования в технические спецификации.
Условия:
— Официальное оформление согласно ТК РФ в штат ИТ-аккредитованной компании.
— Конкурентный уровень заработной платы и ежегодная индексация.
— Выплата белой заработной платы 2 раза в месяц без задержек.
— Годовая премия.
— ДМС со стоматологией, материальная помощь при необходимости.
— График работы 5/2 с 9:00 до 18:00.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$285,000
—
$320,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$208,260
—
$234,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
The vision for the Lakehouse Infra team is to provide
reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success.
Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us!
What you’ll do
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For:
You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $
153,000
- $
213,000 CAD.
This posting is for an existing vacancy.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
The vision for the Lakehouse Infra team is to provide
reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success.
Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us!
What you’ll do
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For:
You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Pay Grade - N
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $
195,000
- $
255,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow.
We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data.
As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way.
IN THIS ROLE YOU WILL
- Design and operate storage systems used across Sentry, including their configuration and performance tuning.
- Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in.
- Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow.
- Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build.
- Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery.
- Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams.
- Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages.
- Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation.
- Work within Postsres and perform database tuning or query optimization
YOU’LL LOVE THIS JOB IF YOU
- Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day.
- Care about a useful, easy-to-use API as much as what happens behind it.
- Like working with other engineers to understand their needs and make their day-to-day work easier.
- Want to follow your work from design and code through rollout and production for millions of developers.
- Want open-source contributions to be at the center of your day job.
QUALIFICATIONS
- 5+ years of software engineering experience building and operating distributed, stateful systems in production.
- Hands-on experience with object storage, relational databases, and caching systems at production scale. Experience with key-value or wide-column stores is a plus.
- An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried.
- Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust.
- Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus.
- Good written and spoken English, especially in explaining technical choices and writing documentation.
- Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 to $420,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow.
We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data.
As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way.
IN THIS ROLE YOU WILL
- Design and operate storage systems used across Sentry, including their configuration and performance tuning.
- Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in.
- Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow.
- Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build.
- Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery.
- Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams.
- Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages.
- Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation.
- Work within Postsres and perform database tuning or query optimization
YOU’LL LOVE THIS JOB IF YOU
- Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day.
- Care about a useful, easy-to-use API as much as what happens behind it.
- Like working with other engineers to understand their needs and make their day-to-day work easier.
- Want to follow your work from design and code through rollout and production for millions of developers.
- Want open-source contributions to be at the center of your day job.
QUALIFICATIONS
- 5+ years of software engineering experience building and operating distributed, stateful systems in production.
- Hands-on experience with object storage, relational databases, OR caching systems at production scale. Experience with key-value or wide-column stores is a plus.
- An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried.
- Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust.
- Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus.
- Good written and spoken English, especially in explaining technical choices and writing documentation.
- Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $400,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Задачи:
— строить и поддерживать отказоустойчивую инфраструктуру
— разрабатывать облачные backend-сервисы
— создавать API
— реализовывать AI workflows
Требования:
— опыт работы с Kubernetes, IAM, API, Terraform, WebSocket, GCP, Python, Docker, AWS, REST, CDK
Условия:
— удалённая работа
Location: Canada
Workplace: Remote
About the Team
The ClickPipes team builds the services that power data ingestion into ClickHouse Cloud. As a primary entry point for customers’ data, ClickPipes is critical to product adoption and the company’s growth. We work at petabyte scale, solving challenges in distributed systems, fault tolerance, and high-throughput ingestion. You’ll help make these pipelines performant, reliable, and easy to operate, with ownership of technical decisions and the platform as a whole.
You can find some of the team’s recent work highlighted in our blog:
- GCP Pub/Sub connector for ClickPipes is now in Private Preview https://clickhouse.com/blog/clickpipes-gcp-pub-sub-preview
- Terraform & OpenAPI for ClickPipes is now Generally Available https://clickhouse.com/blog/terraform-ga
- Unordered mode for GCS ClickPipes is now available https://clickhouse.com/blog/clickpipes-gcs-unordered-mode
We’re looking for backend engineers with experience in data-intensive systems who enjoy working across technologies. You’ll collaborate with engineering and product partners and drive projects from design through production.
What will you do?
- Build and evolve integrations with streaming platforms and object storage, including Kafka, Kinesis, Pub/Sub, S3, GCS, and Azure Blob Storage.
- Continuously improve our systems based on operational metrics, customer feedback, and evolving business requirements.
- Drive technical discussions and contribute to architectural decisions that impact our platform's scalability and resilience.
- Participate in on-call rotations to ensure system reliability and respond to production incidents.
About you:
- 5+ years of software development experience building and operating distributed systems.
- Strong knowledge of Go and its ecosystem.
- Experience designing systems for scalability and fault tolerance, with an understanding of concurrency, consistency, and failure recovery.
- Understanding of cloud-native architecture and practical experience with at least one major cloud provider.
- Experience diagnosing and resolving production issues in distributed systems.
- Ability to communicate technical ideas clearly and collaborate across engineering and product teams.
- Experience with data ingestion pipelines, streaming platforms, or object storage is a plus.
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.
Location: Brazil, Colombia
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences. The organization combines technology, data, and innovation to deliver scalable solutions to users and institutions worldwide.
What You’ll Do
Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt.
Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability.
Manage and maintain infrastructure using Terraform and infrastructure-as-code practices.
Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React.
Collaborate with data, product, and engineering teams to deliver integrated data and application solutions.
Contribute to the monitoring, troubleshooting, and continuous improvement of data pipelines, applications, and infrastructure.
Participate in code reviews, technical discussions, and engineering best practices using GitHub and related tools.
Participate in the on-call rotation, serving as the primary on-call engineer for one week out of every four and as backup on-call engineer for an additional week out of every four.
What You Bring
Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines.
Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments.
Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components.
Strong problem-solving and troubleshooting skills, with a focus on reliability, maintainability, and production support.
Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone.
Availability to participate in the on-call rotation, including one primary on-call week and one backup on-call week in every four-week cycle.
Nice to have
Experience with Snowflake and AWS cloud services.
Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering.
Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews.
English level
Intermediate/Upper-Intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Compensation details are shared with candidates at the early stage of the recruitment process.
The offer is not binding until a signed contract is in place.
Our AI-Enabled Screening Process
As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Задачи:
— Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
— Develop recommendation, ranking, classification, and predictive ML models.
— Own end-to-end ML pipelines from data processing and training to deployment and monitoring.
— Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure.
— Work with Product and Engineering to measure business impact through KPIs and experiments.
— Improve AI system scalability, reliability, cost, governance, and performance.
Требования:
— 4–5+ years in AI, ML, or Data Science.
— Strong Python, SQL, and production ML experience.
— Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering.
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
— Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform.
— Experience with Kafka, ETL pipelines, vector databases, and search systems.
— Ability to independently take AI projects from idea to production.
Плюсом будет:
— Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership.
— Candidate should be able to work on US time schedule.
— Good English conversation skill is much much preferred.
Задачи:
— Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
— Develop recommendation, ranking, classification, and predictive ML models.
— Own end-to-end ML pipelines from data processing and training to deployment and monitoring.
— Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure.
— Work with Product and Engineering to measure business impact through KPIs and experiments.
— Improve AI system scalability, reliability, cost, governance, and performance.
Требования:
— 4–5+ years in AI, ML, or Data Science.
— Strong Python, SQL, and production ML experience.
— Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering.
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
— Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform.
— Experience with Kafka, ETL pipelines, vector databases, and search systems.
— Ability to independently take AI projects from idea to production.
Плюсом будет:
— Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership.
— Candidate should be able to work on US time schedule.
— Good English conversation skill is much much preferred.
Location: Malta
The Wow
This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations.
A taster of what you will be involved with:
Maintaining and evolving our existing data platform;
Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect.
Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams.
Applying transformations to data streams;
Being involved in data modelling following standards e.g. Inmon, Kimball, Data Vault;
Ensuring data quality by verifying data consistency and accuracy;
Keeping up to date on research and development of new technologies and techniques to enhance our data platform;
Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management;
Full ownership on projects and tasks assigned together with being able to work within a Team;
Able to document well processes and perform knowledge sharing sessions
What we are looking for:
Must haves:
Experience with modern cloud database technologies such as
Snowflake
;
Experience with orchestrating data pipelines using
Airflow
;
Experience with
AWS Glue
;
Experience with
Apache Iceberg;
Experience with
SQL
, and
Data Integration Tools
Experience with any
programming language
like Python or Scala;
Knowledge on
AWS Services
like S3/Lambda/API Gateways/DMS/RDS;
Development experience in both
Microsoft
, and
Linux/Cloud
environments;
Have strong analytical and
problem-solving skills
Nice to have:
Familiar with Data Warehousing concepts and data modelling techniques such
as Inmon, Kimball, Data Vault;
Familiar with AWS Services such as
MSK and EMR;
Familiarity with containerization and orchestration technologies such as
Docker
and
Kubernetes
.
Familiarity with Time-series or Analytics Databases such as
Elasticsearch
;
Familiar with data streaming using technologies such as
Kafka
;
Familiar with software versioning tools like
GIT
;
Familiar with infrastructure scripting like
Terraform
;
Familiar with Data Monitoring and Visualisation tools such as
Prometheus
and
Grafana, Cloudwatch
;
Scripting – Powershell, Unix Scripting;
At least 2 years experience in Data Engineering;
Excellent verbal and writing English communication skills;
Good learning mindset;
Able to set priorities and multitask
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Задачи:
— Разрабатывать и поддерживать сервисы и API на C# / .NET
— Разрабатывать интерфейсы на React или Vue — в зависимости от проекта
— Участвовать в проектировании архитектуры и выборе технических решений
— Писать поддерживаемый, тестируемый и понятный код
— Проводить code review и помогать команде расти
— Работать с базами данных, очередями, кэшами, внешними API
— Участвовать в CI/CD, деплое и мониторинге
— Декомпозировать задачи, оценивать сроки и влиять на технические решения
— Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта
Требования:
— Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior
— Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core
— Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации
— Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management
— TypeScript — уверенное использование
— Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги
— Понимание SQL и умение писать запросы
— Опыт с Docker, Git, Linux, CI/CD
— Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги
— Понимание принципов SOLID, паттернов проектирования и чистого кода
— Технический английский — чтение документации, переписка, созвоны
Будет плюсом:
— Опыт коммерческой разработки и на React, и на Vue
— Опыт миграции между фреймворками (Vue → React, React → Vue)
— Fullstack-опыт: самостоятельная разработка от API до интерфейса
— Микросервисная архитектура, gRPC, GraphQL
— Kafka, RabbitMQ, Redis, NATS
— Kubernetes, Helm, Terraform, Ansible
— Cloud: AWS / Azure / GCP / Yandex Cloud
— Опыт высоконагруженных систем
— Опыт миграций, работы с легаси, монорепозиториями
— Опыт в финтехе, e-commerce, SaaS, ML, DevTools
— Вклад в open source
— Опыт менторства, техлидства, архитектурных ревью
— Английский B2+
— Опыт работы в продуктовых командах и/или стартапах
Условия:
— Полная занятость
— График: 5/2
— Формат работы: удалённо
Контакты для отклика: info@it-implant.ru
Задачи:
— Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
— Develop recommendation, ranking, classification, and predictive ML models.
— Own end-to-end ML pipelines from data processing and training to deployment and monitoring.
— Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure.
— Work with Product and Engineering to measure business impact through KPIs and experiments.
— Improve AI system scalability, reliability, cost, governance, and performance.
Требования:
— 4–5+ years in AI, ML, or Data Science.
— Strong Python, SQL, and production ML experience.
— Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering.
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
— Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform.
— Experience with Kafka, ETL pipelines, vector databases, and search systems.
— Ability to independently take AI projects from idea to production.
Плюсом будет:
— Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership.
— Candidate should be able to work on US time schedule.
— Good English conversation skill is much much preferred.
Задачи:
— автоматизация и обеспечение безопасности корпоративной инфраструктуры и систем сотрудников.
Требования:
— опыт работы с Python, Terraform, Bash.
— знание инструментов управления задачами и коммуникациями: Jira, Slack.
— опыт работы с Google Workspace и Okta.
Условия:
— гибридный формат работы в офисе в Нью-Йорке.
Location: Belgrade, Serbia
As part of our continued growth,
Neo Group is recruiting on behalf of one of our local partners
, leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.
We are on the lookout for
a Senior System Engineer
to join our
Engineering Team.
Unlock your full potential as a
Senior System Engineer
. In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you!
Key Responsibilities
Platform Engineering & Transformation:
Help evolve Infrastructure & Operations toward a platform engineering model.
Workflow Automation & Standardization:
Standardize and automate infrastructure workflows and reduce manual provisioning.
Core Capabilities & Provisioning:
Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments.
Internal Tooling & Lifecycle Management:
Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management.
Ecosystem & Tooling Integration:
Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems.
Architectural & Technical Design:
Participate in architecture and technical design of platform and infrastructure services.
Reliability & Performance Engineering:
Improve reliability, scalability, and operational simplicity of production infrastructure.
Troubleshooting & Incident Investigation:
Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems.
Observability & Diagnostics:
Improve observability, diagnostics, and troubleshooting capabilities.
Cross-Functional Collaboration:
Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units.
Documentation & Best Practices:
Standardize common infrastructure solutions and document how they should be implemented and used.
Technology Innovation & Developer Experience:
Evaluate and introduce technologies that improve developer experience and infrastructure efficiency.
Requirements
5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles.
Strong Linux administration and troubleshooting skills.
Good understanding of production infrastructure, networking and distributed systems.
Hands-on experience operating
Kubernetes in production
.
Practical experience with
Infrastructure as Code and configuration management
, using Terraform, Ansible or similar tools.
Experience with
CI/CD
and infrastructure automation workflows.
Programming or strong scripting skills in Python, Go, Java, Bash or similar.
Experience with monitoring and observability systems.
Understanding of secrets management and secure infrastructure access patterns.
Experience integrating infrastructure systems through APIs.
Ability to design reusable infrastructure solutions instead of one-off automation.
Strong systems thinking and ability to troubleshoot complex cross-system issues.
Ability and willingness to learn new infrastructure and platform technologies.
Nice to Have
Experience with
GitOps
approaches and tools.
Experience with
Crossplane, Kubernetes operators or controllers
.
Experience with
Vault
or similar secrets management platforms.
Experience with
Kafka, PostgreSQL, Redis or ClickHouse
.
Experience with
Proxmox, VMware or public cloud platforms
.
Experience developing
internal infrastructure tools, APIs or self-service capabilities
.
Soft Skills
Strong analytical thinking and technical curiosity.
Ownership and responsibility.
Pragmatic approach to automation and engineering.
Ability to work independently on ambiguous technical problems.
Good communication and documentation skills.
Willingness to remain hands-on and share technical knowledge.
Benefits
УдалённоseniorRemote - Canada
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorBrazil, Colombia; Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone
Автоотклики