Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a
Senior
ML Infrastructure Engineer,
you will lead development of a platform for large scale ML models at Reddit.
Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges
Who You Might Be:
5+ years of experience in ML infrastructure, including model training and model deployments
Hands-on experience with ML optimization, including memory and GPU profiling
Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
Deep experience working with distributed training frameworks, including Ray and Kubernetes
Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
Strong organizational & communication skills
Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$303,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Mountain View, California, USA
Workplace: Hybrid
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
ABOUT THE ROLE
Inworld Inference https://inworld.ai/inference serves the models consumer apps run on. We're growing it from an API into a full platform: one place where a team can go from its first API call to its own model, tuned on its own traffic and running on capacity reserved for it.
As a Staff or Principal Software Engineer, you'll design that platform's core architecture and write much of its code. You'll define the abstractions every customer workload runs on, and own the system in production at tens of trillions of tokens a month.
WHY THIS ROLE
- A platform, not a feature. You'll shape the foundation that every future Inference product builds on. The architecture decisions are yours to make.
- Real scale from day one. Realtime inference for hundreds of millions of end users, with latency budgets measured in milliseconds.
- Hard problems. Scheduling scarce GPUs across many tenants and workloads, model lifecycles from weights to serving, and latency and uptime commitments customers pay for.
- Principal-level scope. You'll partner directly with research, product and leadership on where the platform goes next.
WHAT YOU'LL DO
- Design and build the platform's core services: control plane, model and deployment lifecycle APIs, tenant isolation, metering and quotas.
- Own how GPU capacity is allocated and scheduled across shared and reserved workloads, with clear latency, cost and reliability trade-offs.
- Build the path that takes a customer's model from weights to production serving, and keeps it healthy as it changes.
- Write production code, mostly in Go, every week. You ship services; you don't just configure them.
- Define the APIs and abstractions that customers and internal teams build on. Make the right path the easy path.
- Lead design reviews and write the technical direction for the platform. Raise the bar for system design across engineering.
- Run what you build: set SLOs, take part in incidents, and turn postmortems into design changes.
WHAT WE'RE LOOKING FOR
- 8+ years building backend or distributed systems in Go, Rust, Java or C++.
- You've designed and shipped a multi-service system end to end, and can explain its trade-offs and what broke in production.
- Deep understanding of distributed systems: consistency, failure modes, queuing, load balancing and capacity modelling.
- Experience building a platform or developer product with external customers: cloud compute, PaaS, serverless, or an API platform.
- Clear technical writing. You can turn an ambiguous problem into a design doc that others build from.
NICE TO HAVE
- Schedulers or resource managers for scarce hardware (GPU clusters, batch systems, cloud compute).
- LLM inference serving (vLLM, SGLang, TensorRT-LLM) or ML training infrastructure.
- Multi-tenant systems with usage-based billing or contractual SLAs.
- Comfortable with Kubernetes, Terraform and GitOps (ArgoCD).
IS THIS ROLE FOR YOU?
This is a software engineering role. If most of your recent work is maintaining CI/CD pipelines and infrastructure-as-code, this probably isn't the fit.
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The US base salary range for this full-time position is $280,000 - $350,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Berlin, Germany
Workplace: remote
ABOUT YOU
The ideal candidate will be responsible for managing RDBMS and NoSQL solutions, optimizing performance, implementing replication and high availability, and providing support to development teams.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Manage RDBMS and NoSQL solutions
Ensure database performance, scalability, high availability, and disaster recovery across environments deployed on bare-metal servers and virtual machines
Implement and manage replication сhains, partitioning / sharding, backups
Assist development teams in creating, optimizing, and problem solving with RDBMS and NoSQL solutions
Troubleshooting
Drive automation using Terraform, Puppet, and custom tooling for infrastructure and database lifecycle management
Qualifications
5+ years of experience as a Database Administrator
Bachelor's Degree or equivalent experience in Computer Science, Technology, or a related field of study
Expert-level experience with at least one of MySQL, PostgreSQL
Familiarity with other RDBMS or NoSQL solutions
Strong knowledge of SQL (DDL, DML, DCL)
Experience with AWS or GCP cloud platforms
Proficiency in Linux
Excellent interpersonal and communication skills, with the ability to convey technical information to non-technical stakeholders
Strong analytical and problem-solving abilities
English language proficiency at B2 level or higher
A plus if:
Experience in scripting, automation, and Infrastructure-as-Code (IaC) tools (e.g., Terraform, Puppet, Bash/Python)
Team management experience
Familiarity with observability tools like Datadog, Prometheus, Grafana, or Zabbix
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Задачи:
— Проектирование и реализация бэкенд-микросервисов и API, интегрируемых с фундаментальными моделями для обработки документов и чертежей.
— Построение масштабируемых стратегий маршрутизации запросов, кэширования и очереди для вывода, способных выдерживать резкие всплески нагрузки.
— Реализация CI/CD и механизмов наблюдения за состоянием конвейеров вывода (логирование, метрики, оповещения).
— Развёртывание и эксплуатация сервисов в Kubernetes (ответственность за развёртывание, выкатку и проверку здоровья; администрирование кластера обеспечивается платформой/SRE).
— Интеграция сервисов с услугами AWS и обеспечение правильной идентификации доступа (IAM) и наименьшей привилегии для межсервисного взаимодействия.
— Сотрудничество с учёными по данным и инженерами машинного обучения (они отвечают за обучение моделей; вы за интеграцию в производство).
— Формирование производственных практик эксплуатации вывода, включая поддержку инцидентов на уровне службы.
Требования:
— Минимум 5 лет опыта создания промышленных бэкенд-систем и API на Python.
— Опыт проектирования и эксплуатации распределённых микросервисов (масштабируемость, маршрутизация, кэширование, режимы отказов).
— Практический опыт работы с AWS и интеграции внешних API моделей (преимущественно через Bedrock).
— Опыт промышленной эксплуатации сервисов в Kubernetes (ответственность за развёртывание и эксплуатацию приложений; инфраструктура кластера поддерживается платформой).
— Опыт работы с CI/CD, знание GitHub Actions.
— Твердые практические знания по IAM и основным принципам безопасности в облаке.
— Понимание логирования и наблюдаемости, умение проектировать конвейеры для анализа.
— Опыт работы с Terraform или иными инструментами инфраструктуры как кода (IaC).
— Способность ясно и убедительно передавать решения по проектированию систем и предыдущие проекты.
Будет плюсом:
— Опыт интеграции GenAI и LLMs (Bedrock, маршрутизация API, выбор моделей).
— Опыт работы с конвейерами обработки изображений и документов (OCR, предобработка изображений, распознавание технических чертежей).
— Опыт с паттернами оркестровки выводов (асинхронные работники, батчинг, оркестровка GPU) или знакомство с нагрузками на GPU.
— Знание инструментов жизненного цикла ML (MLflow, регистры моделей, трекинг экспериментов).
— Опыт работы с сервисами реального времени и пакетной обработки выводов, хранилищами признаков или производственной средой SageMaker.
Условия:
— Удалённая работа.
— Полная занятость, проектная работа до конца года с возможным продлением.
— Работа в англоговорящей команде, часовой пояс Германии.
УдалённоseniorРабота в англоговорящей команде, часовой пояс Германии
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Dubai, UAE
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Regional Focus: Sub-Saharan Africa
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Fluency in English (written and spoken). French is a plus.
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: United Kingdom; Denmark; Poland; Portugal; France; Spain; Germany; Italy; The Netherlands
Workplace: Remote
About the role
We are committed to providing our customers with reliable and secure services so we are expanding our central Site Reliability Engineering team. You will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure. You will collaborate with different teams like Control Plane, Data Plane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our Cloud services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance ClickHouse Cloud.
What will you do?
- Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
- Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
- Ensure all the infrastructure components in ClickHouse Cloud (including Data Plane, Control Plane,ClickHouse Core, etc) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
- Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
- Continuously improve the reliability and performance of our ClickHouse services.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
- Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.
About you:
- Bachelor’s or Master’s degree in Computer Science or a related field.
- At least 8 years of experience in Site Reliability Engineering or a related field.
- Hands-on experience with Go and/or Python.
- Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
- Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
- Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability, and data governance.
- You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability.
- Excellent communication and interpersonal skills.
#LI-Remote
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: Lisbon, Portugal
About the Role
iCapital is looking for a
Full-Stack Engineer
to join the
iCapital Identity Platform
team. This role will help define and deliver new features for one or more of iCapital's software platforms. You will work closely with Product Management and Design throughout the software development lifecycle—scoping requirements, reviewing work in progress, and addressing issues uncovered during automated and manual testing.
The iCapital Identity frontend uses
TypeScript
,
React
,
GraphQL
, and
Relay
. The backend is built in
Elixir/Phoenix
, with some
Go
and
Node.js
, backed by
PostgreSQL
. Our infrastructure runs on
AWS
and is provisioned using
Terraform
.
Responsibilities:
Leverage an
Elixir + Phoenix
backend running on Amazon’s latest serverless technologies to power a
TypeScript + React
frontend
Support existing products and features while helping design and build new ones
Design and develop integrations with other iCapital platforms
Collaborate regularly with stakeholders and partners to gather requirements, seek feedback, and provide updates
Qualifications:
10–15+ years of experience in a related field
Strong understanding of modern browser technologies and web fundamentals (HTTP, cookies, CSP, CORS, etc.)
Extensive experience developing full-stack web applications
Experience in collaborative environments where engineers define project vision, influence technical strategy, and continuously learn
Strong relational database fundamentals
Excellent written and verbal communication skills
Demonstrated proficiency and professional success coding in at least one programming language
Experience with Linux and strong command-line skills
Preferred/Additional Experience
Writing production-ready code in
Elixir
,
Python
,
TypeScript
,
JavaScript
,
Go
, or
Ruby
Optimizing queries in
PostgreSQL
Developing with
React
,
Vue
,
Angular
, or
LiveView
Deploying and configuring applications on
Amazon Web Services (AWS)
Prior experience in a security or penetration-testing role
Querying
Google BigQuery
or other large relational datasets
Technical leadership, team lead, or management experience
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Berlin, Germany
Workplace: hybrid
Berlin • Cybersecurity & AI Startup • Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a
Backend Engineer(Go)
to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on
Founding Backend Engineer(Go)
for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.
Key Responsibilities
Develop and maintain
backend applications
using Go
Design and optimize cloud-based solutions using
AWS services
(EC2, Lambda, S3, SQS, SNS, etc.)
Design, use and manage
databases
, including PostgreSQL, Neo4J, Redis, and Elasticsearch
Develop, manage, and optimize
containerized applications
using Docker
Automate processes
using Bash/Python scripting
Optimize and maintain
RESTful APIs
, ensuring security and performance
Work closely with frontend engineers, DevOps, and product team
to deliver robust applications
Monitor, debug, and improve
backend performance
, reliability, and scalability
Implement
caching, messaging queues, and event-driven architectures
where needed
Build whole platform
from scratch
Must have skills
5+ years
of
GoLang
experience
Hands-on coding mentality;
can build things from scratch and familiar with different architectures
Hands-on experience with
Docker, Kubernetes
(EKS) and containerized workloads
Experience designing
RESTful
and
gRPC
APIs and using frameworks like
Gin
Hands-on experience with messaging systems (e.g.,
SQS
,
Kafka
)
Experience with
CI/CD pipelines
(GitHub Actions or similar)
Experience operating
PostgreSQL (RDS / Aurora), Neo4J(or similar)
Experience with
AI agents
, LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc
Experience with
AI stack
(AWS Bedrock, LangChain, pgvector or similar)
Experience with
Infrastructure as Code
(Terraform)
Experience with
monitoring, logging, observability
(Grafana, OpenTelemetry, Prometheus)
Ability to
troubleshoot
production issues end to end
Experience with
Coding CoPilots
(Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)
Experience supporting
production SaaS platforms
Strong understanding of
SaaS integrations
and app-to-app permission flows
High ownership mentality, startup mindset, and ability to move quickly
Experience in
startup or scale-up environments
Low ego, high commitment, and a
true tech startup mentality
Strong
problem-solving skills
and ability to work in a collaborative environment
Excellent
English
communication skills
Nice-to-have requirements
Experience working with
Java
Ability to code in
Python
Experience with security architecture, identity security, or
security engineering
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Experience with
AWS
in production environments
Exposure to
graph-based modeling
(identity graph, access graph, risk graph)
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Understanding of
OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts
Familiarity with cloud identity and security controls (e.g.
IAM, CloudTrail, Azure Active Directory / Entra ID
)
Hands-on with SIEM platforms such as
Splunk, Microsoft Sentinel, or IBM QRadar
Experience designing
permission models, identity graphs, or access control frameworks
Knowledge of tokenization,
Zero Trust principles
, least privilege, and continuous verification
Experience with Security related to
AI/LLM systems, agent logic, or willingness to learn fast
Familiarity with
AI agent behavior
, LLM security, or agent sandboxing
Previous experience in
cybersecurity
, identity startups
You are a fan of
rock or metal
music
Excellent
German
communication skills
Benefits
Founding Team Member Equity
— ESOPs in a cybersecurity company
Competitive Compensation
— salary aligned with market, flexible early-stage arrangements possible
Founding Team Member Status
— shape the company from day one and own critical technical decisions
Fresh Funding Secured
— immediate runway to build, hire, and execute fast
Security Contribution
— contribute to security architecture across identity, AI agents, and enforcement
High Autonomy
— freedom to design and build without corporate overhead
Work with a Technical CEO and CPTO
— fast iteration, strong alignment, clear direction
Cutting-Edge Domain
— identity security, SaaS-to-SaaS access, AI agent governance
Massive Learning Curve
— quickly gain depth in cybersecurity, identity, and AI systems
Fast Career Path
— opportunity evolve into leadership as we scale the engineering team
Berlin Location
— top-tier tech environment with strong cybersecurity and AI ecosystems
Direct Impact
— your architecture and code become the foundation of the entire platform
Best Equipment and Tools
- High quality equipment and modern tools to help you do your best work from day one
Team Offsites -
Regular team offsites designed to build strong connections, alignment, and shared momentum
Location: Canada
Workplace: Remote
About the role
We are committed to providing our customers with reliable and secure services so we are expanding our central Site Reliability Engineering team. You will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure. You will collaborate with different teams like Control Plane, Data Plane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our Cloud services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance ClickHouse Cloud.
What will you do?
- Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
- Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
- Ensure all the infrastructure components in ClickHouse Cloud (including Data Plane, Control Plane,ClickHouse Core, etc) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
- Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
- Continuously improve the reliability and performance of our ClickHouse services.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
- Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.
About you:
- Bachelor’s or Master’s degree in Computer Science or a related field.
- At least 8 years of experience in Site Reliability Engineering or a related field.
- Hands-on experience with Go and/or Python.
- Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
- Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
- Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability, and data governance.
- You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability.
- Excellent communication and interpersonal skills.
#LI-Remote
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: In-Office
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations | Austin, US | New York, NY | San Francisco, CA | Seattle, US or London, UK
About the Role
Emerging Technologies & Incubation (ETI) builds and launches new products on Cloudflare’s global network. Within ETI, you’ll join the Storage Infrastructure team to build and operate a shared storage platform for the teams behind stateful products such as R2, Workers KV, and Durable Objects.
We manage the underlying storage hardware, distributed databases, and object storage clusters, including fleet lifecycle automation, capacity, hardware validation, failure-domain planning, observability, and production operations. In this role, you will build platform software and automation that makes these fleet operations safe, repeatable, and scalable.
Responsibilities
Design and build automation and operator tooling for provisioning, configuring, expanding, upgrading, and decommissioning storage hardware, distributed databases, and object storage clusters.
Engineer globally distributed storage fleets to tolerate hardware failures, network disruption, capacity pressure, and recovery events across multiple failure domains.
Develop observability, alerting, and safety controls that help engineers understand fleet health and make auditable production changes.
Diagnose incidents across Linux, storage, networking, and distributed systems; participate in on-call and implement durable fixes that reduce operational toil.
Use AI tools throughout development and operations to accelerate debugging, incident triage, root-cause analysis, and toil reduction, while applying sound engineering judgment and verifying outputs before taking production action.
Validate new storage hardware and characterize its performance during normal operation, failures, rebuilds, and other recovery conditions.
Partner with R2, Workers KV, Durable Objects, Network, Capacity Planning, Performance Engineering, and Infrastructure Operations to turn service requirements into infrastructure capabilities.
Desirable Skills, Knowledge, and Experience
Experience designing, building, and operating infrastructure platforms or large-scale production fleets, including automation of lifecycle operations.
Strong Linux systems knowledge and experience troubleshooting across compute, storage, and networking layers.
Experience operating distributed systems in production, including observability, incident response, reliability improvements, and safe change management.
Ability to write maintainable software in at least one programming language, such as Go, Rust, or Python.
Strong written and verbal communication skills, with experience collaborating across engineering teams and technical stakeholders.
Bonus Points
Experience operating distributed databases or object storage systems, with knowledge of storage fundamentals such as filesystems, SSD behavior, replication, and rebuild dynamics.
Experience with bare-metal provisioning, hardware lifecycle management, or storage hardware validation.
Experience with infrastructure-as-code, configuration-management, or observability systems such as Terraform, SaltStack, Prometheus, or Grafana.
Experience with capacity modeling, workload placement, failure-domain planning, or cross-datacenter networking.
Compensation
Compensation may be adjusted depending on work location.
F
or Bay Area based hires: Estimated annual salary of $194,000 - $266,000
For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco
Müller's Solutions is seeking a GCP DevOps Specialist to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining our Google Cloud Platform (GCP) infrastructure and DevOps practices. Your expertise will drive the continuous improvement of our development and deployment processes, ensuring high availability and scalability of applications hosted on GCP. You will work closely with development, operational, and security teams to implement CI/CD pipelines, manage cloud resources, and enhance application performance.
Key Responsibilities:
Design, deploy, and manage GCP infrastructure components, including virtual machines, storage solutions, Kubernetes, and serverless functions.
Develop and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build.
Implement monitoring and logging solutions to ensure reliability and security of cloud-based applications.
Collaborate with cross-functional teams to streamline development workflows and enhance operational efficiencies.
Automate infrastructure provisioning and management through Infrastructure as Code (IaC) using tools like Terraform or Google Deployment Manager.
Perform cost optimization analyses and resource allocation planning for GCP services.
Support incident management processes and provide technical guidance to resolve deployment and operational issues.
Continuously evaluate new cloud technologies and services to enhance our GCP environment.
Requirements
Requirements:
Degree:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience:
3+ years of experience in cloud infrastructure management and DevOps practices, with a strong focus on Google Cloud Platform.
Technical Skills:
Proficient in Google Cloud services (e.g., GCE, GKE, BigQuery, Cloud Functions), CI/CD tools, and container orchestration (Kubernetes). Experience with Infrastructure as Code (IaC) using Terraform or similar tools is highly desirable.
Additional Skills:
Strong experience with scripting languages (Python, Bash) for automation tasks. Familiarity with monitoring tools (e.g., Stackdriver, Prometheus) and security best practices in cloud environments. Understanding of Agile methodologies and DevOps culture.
Communication Skills:
Excellent communication skills with the ability to work effectively in a collaborative environment.
Preferred Qualifications:
Certifications such as Google Cloud Professional DevOps Engineer or Google Cloud Architect are a plus.
Experience with multi-cloud or hybrid cloud environments.
Ability to troubleshoot complex systems and provide solutions quickly.
Strong analytical and problem-solving skills, with a focus on continuous improvement.
A passion for cloud technologies and keeping up-to-date with industry trends.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; Casablanca, Morocco; New Delhi, India
Müller’s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities.
Key Responsibilities:
Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services.
Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager.
Oversee the configuration and management of virtual private cloud (VPC) networking and shared services.
Build and maintain CI/CD pipelines to automate deployment and operational processes.
Monitor and optimize GCP performance, including resource utilization and cost management.
Implement robust security practices across GCP resources, ensuring compliance with industry standards.
Integrate GCP services with existing systems and applications through APIs and cloud functions.
Collaborate with DevOps teams to streamline workflows and support development processes.
Prepare and maintain architecture documentation, operational procedures, and best practices guidelines.
Provide technical support to resolve issues and enhance system performance in the GCP environment.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform.
Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine.
Proficiency in scripting and programming languages such as Python, Golang, or Java.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with networking concepts and security practices in cloud environments.
Strong analytical and troubleshooting skills with attention to detail.
Effective communication skills for collaboration and presenting technical information clearly.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred.
Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services.
Knowledge of monitoring and logging tools such as Stackdriver or Prometheus.
Understanding of DevOps methodologies and practices.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Dubai, United Arab Emirates; Casablanca, Morocco
Müller’s Solutions is on the hunt for a skilled Google Cloud Architect to lead our cloud strategy initiatives and design innovative solutions using Google Cloud Platform (GCP). In this crucial role, you will be responsible for developing scalable, secure, and efficient cloud architectures that meet business requirements while guiding teams on best practices in cloud implementation and governance.
Key Responsibilities:
Design and architect scalable, reliable, and cost-effective GCP solutions aligned with business objectives.
Collaborate with stakeholders to gather requirements and translate them into technical solutions leveraging GCP services.
Develop and implement standards, guidelines, and best practices for GCP architectures across the organization.
Lead migration efforts of existing applications and systems to GCP, ensuring best practices around security and compliance are followed.
Conduct cloud readiness assessments and application architecture evaluations to identify needed improvements.
Oversee the integration of cloud services with on-premises components or external platforms as necessary.
Advise on cloud strategies, best practices, and industry trends to senior management and technical teams.
Provide technical leadership and mentorship to engineering teams, promoting cloud-native development methodologies.
Build and maintain documentation for cloud solutions, architectures, and processes.
Engage with vendor management to evaluate and select relevant cloud services and tools.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience in cloud architecture, with a strong focus on Google Cloud Platform.
Proven experience in designing and implementing complex architectures on GCP, including compute, storage, and networking.
Deep understanding of GCP services and capabilities, including BigQuery, Cloud Functions, and Kubernetes Engine.
Expertise in Infrastructure as Code (IaC) practices using tools like Terraform or Cloud Deployment Manager.
Strong knowledge of cloud security principles and best practices for governance and compliance.
Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders.
Strong problem-solving skills and the ability to think critically in fast-paced environments.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are highly desirable.
Experience with DevOps practices, CI/CD pipelines, and automation tools.
Familiarity with open-source technologies and frameworks relevant to GCP architecture.
Experience in cloud cost management and optimization techniques.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Riyadh, Saudi Arabia
Müller’s Solutions is looking for an experienced Azure Cloud Engineer to join our dynamic team. In this role, you will be responsible for designing, deploying, and managing our Azure cloud infrastructure, ensuring the scalability, security, and performance of our applications. You will collaborate with various teams to facilitate the migration of services to Azure and optimize our cloud environment for efficiency and cost-effectiveness.
Key Responsibilities:
Management of Azure virtual machines
Configuration and management of Azure networking
Administration of storage in Azure
Management of Azure Active Directory / Microsoft Entra ID
Optimization of costs (FinOps) and monitoring of budgets
Configuration of Azure Monitor and performance tracking
Administration of Microsoft Defender for Cloud
Configuration of backups and daily monitoring & validation of backup processes
Execution of quarterly Disaster Recovery (DR) testing
Management of Azure Backup and on-premises backup solutions
Monitoring and reporting on Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
Oversight of Microsoft 365 backup processes
Design and implement Azure solutions that align with best practices and meet organizational needs.
Oversee the management and monitoring of Azure resources including virtual machines, storage accounts, and networking elements.
Automate the deployment and operational processes using Infrastructure as Code (IaC) tools, such as Terraform or Azure Resource Manager (ARM) templates.
Integrate on-premises infrastructure with Azure services to create hybrid cloud solutions.
Ensure compliance and governance standards for security across all Azure environments.
Maintain documentation of architecture diagrams, operational procedures, and guidelines for best practices.
Collaborate with development teams to facilitate efficient operational processes and application delivery.
Identify and resolve issues with Azure services, determining root causes and implementing effective solutions.tions.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in cloud engineering or architecture, with a focus on Microsoft Azure.
Strong understanding of Azure services and tools including Azure Virtual Machines, Azure Functions, and Azure App Services.
Experience with scripting and automation using PowerShell, Azure CLI, or other automation tools.
Familiarity with networking concepts and security principles in cloud environments.
Excellent problem-solving skills and attention to detail.
Effective communication skills to work collaboratively in a team-oriented environment.
Preferred Qualifications:
Microsoft Azure certifications (e.g., Azure Solutions Architect Expert or Azure DevOps Engineer) are highly desirable.
Experience with DevOps practices and tools (e.g., CI/CD pipelines, Azure DevOps).
Knowledge of containerization technologies such as Docker and Kubernetes.
Experience with monitoring tools such as Azure Monitor, Application Insights, or third-party solutions.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Belfast, Northern Ireland, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI.
Your new role
In this role, you’ll join as a Software Engineer II on the ‘In-Store’ team, which is part of the wider ‘Order’ engineering group.
The ‘In-Store’ squad is focused on building and improving the integrations with new and existing POS (Point of Sale) partners and systems. They ensure that customers orders successfully flow through the Olo ecosystem by driving critical SLA’s, uptime and overall performance when it comes to integrations with external partners.
This position is perfect for someone who has experience in the POS domain or who has been building systems that integrate with external partner platforms. You’ll have the support of a highly experienced engineering team consisting of 8 engineers in one squad. On a management level, the team is led by a dedicated Engineering Manager.
How you’ll make an impact
Deliver small-to-medium features independently, with some initial guidance, contributing across much of the team’s domain and components.
Collaborate with Product, Design, and other stakeholders to drive requirements for the work in front of you, and make well-reasoned design decisions at a component level, understanding the trade-offs involved.
Write code with testability, readability, and maintainability in mind.
Troubleshooting and incident management efforts, helping Senior Engineers to resolve critical production issues and improving system reliability.
Actively seek to learn about new technologies and trends, and how they might apply to what we’re building.
Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs.
Consistently contribute to team documentation, sharing what you learn with the squad, and providing useful feedback during estimation and in retrospectives.
Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise.
What will set you up for success
Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience.
3+ years of experience in software engineering post graduation.
Good experience in the .Net and C# ecosystem.
Working knowledge of architectural patterns for distributed systems (e.g., microservices, event-driven architecture using Kafka), and the judgement to weigh design trade-offs at a component level.
Experience working with cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
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Задачи:
— Развертывание, обслуживание и оптимизация облачной инфраструктуры на AWS с помощью Terraform;
— Внедрение и соблюдение принципов GitOps для управления инфраструктурой и состоянием приложений;
— Обеспечение безопасности инфраструктуры;
— Разработка, внедрение и поддержка отказоустойчивых конвейеров CI/CD для сборки, тестирования и развертывания приложений;
— Автоматизация рутинных операций и процессов развертывания с помощью современных инструментов;
Требования:
— 3 года профессионального опыта в качестве DevOps-инженера, SRE-инженера или инженера по платформе;
— Практический опыт работы с AWS или другими облачными провайдерами;
— Опыт написания и поддержки инфраструктуры как кода (Terraform);
— Навыки создания и оптимизации конвейеров CI/CD;
— Опыт работы с Kubernetes и Helm;
— Глубокое понимание основ сетевых технологий (TCP/IP, DNS, HTTP/S) и облачной безопасности;
— Опыт работы с Linux и скриптами на языке bash;
Будет плюсом:
— Понимание принципов Gitops и навыки работы с такими инструментами как ArgoCD или Flux;
— Навыки работы с распределенными системами (Kafka, RabbitMQ, Redis Cluster);
— Опыт настройки распределенного логирования и трассировки;
— Знание шаблонов и практик SRE;
— Опыт работы с языками программирования (Python/Go);
— Опыт работы с решениями для масштабирования кластера, такими как Karpenter или Cluster Autoscaler.
Условия:
— Удалённый формат;
— Карьерный рост и развитие в сильной технической команде;
— Работа в международной компании.
Задачи:
— Проектирование и развитие on-prem инфраструктуры
— Настройка и оптимизация Kubernetes-кластеров
— Автоматизация CI/CD и IaC (Terraform, Ansible, GitLab CI/CD)
— Настройка observability и HA/DR (Prometheus, Grafana, PostgreSQL, Redis, Kafka и др.)
Требования:
— 4-6+ лет опыта девопсом в on-prem или гибридных инфраструктурах
— Глубокое понимание ОС и принципов работы оборудования
— Опыт работы с Bash / Python / Go
— Системное мышление и умение работать с архитектурными решениями
Условия:
— Оформление по ТК РФ, ДМС
— Удалённый формат по РФ, гибкое начало дня
— Развитые процессы взаимодействия и онбординга
УдалённоseniorГеография найма не уточнена
ГибридMountain View, California, USA; Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week)
УдалённоseniorBerlin, Germany
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