Location: Tbilisi, Georgia; Yerevan, Armenia; Kazakhstan; Uzbekistan
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 Infrastructure Engineer
to join our
Engineering Team.
Step into a high-impact role as a
Senior Infrastructure Engineer
. You will run and maintain our partner's Linux (Debian and Rocky Linux) and Proxmox VE infrastructure, owning the full lifecycle of virtual machines from provisioning and migration to upgrades and decommissioning. You won't just keep servers healthy; you will plan production maintenance and major upgrades, manage backup, restore and disaster recovery, and automate repetitive work with Ansible and scripting. If you are careful with production changes, love troubleshooting across compute, storage and networking, and take real ownership, we would love to hear from you!
Key Responsibilities
Linux System Administration:
Operate and maintain Linux infrastructure based on Debian and Rocky Linux.
Virtualization & Cluster Management:
Operate and maintain Proxmox VE clusters and virtual machines.
Virtual Machine Lifecycle:
Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning.
System Updates & Upgrades:
Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades.
Production Maintenance Planning:
Plan and execute infrastructure maintenance activities in production environments.
Data Protection & Disaster Recovery:
Manage VM/server backup and restore processes and validate recovery procedures.
Infrastructure Troubleshooting:
Troubleshoot infrastructure issues across compute, storage, operating systems, and networking.
Automation & Scripting:
Automate repetitive operational tasks using Ansible and scripting.
Infrastructure Migrations:
Participate in infrastructure migrations and production changes.
Change Management & Risk Mitigation:
Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes.
Requirements
5+ years of hands-on experience with Linux infrastructure.
Strong knowledge of
Debian / Rocky Linux
.
Hands-on production experience with
Proxmox VE
, KVM/QEMU and Proxmox clusters.
Good understanding of cluster concepts including
quorum, Corosync and failure scenarios
.
Strong practical experience with
ZFS
, including pools, datasets, snapshots, replication, disk replacement and failure recovery.
Experience with VM migration and live migration.
Experience performing Linux and Proxmox updates/upgrades.
Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo.
Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics.
Hands-on experience with backup and restore, including recovery after VM or server failures.
Understanding of backup, snapshot and replication concepts.
Experience with
Proxmox Backup Server
or similar solutions.
Practical experience with
Ansible
, Bash and Git.
Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues.
Nice to Have
Experience with
shared or distributed storage systems
, such as Ceph, SAN, iSCSI, NFS or similar solutions.
Python.
Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana.
Experience with physical servers and data center hardware.
Hardware RAID / HBA.
IPMI / iDRAC / iLO.
Experience participating in disaster recovery or infrastructure migration projects.
Soft Skills
Strong ownership and responsibility.
Careful approach to production changes.
Ability to troubleshoot complex infrastructure issues independently.
Good documentation and communication skills.
Focus on automation, reliability and operational simplicity.
Benefits
Hybrid work model.
Flexible working schedule.
Interesting product.
Learning opportunities.
Career growth prospects.
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 Infrastructure Engineer
to join our
Engineering Team.
Step into a high-impact role as a
Senior Infrastructure Engineer
. You will run and maintain our partner's Linux (Debian and Rocky Linux) and Proxmox VE infrastructure, owning the full lifecycle of virtual machines from provisioning and migration to upgrades and decommissioning. You won't just keep servers healthy; you will plan production maintenance and major upgrades, manage backup, restore and disaster recovery, and automate repetitive work with Ansible and scripting. If you are careful with production changes, love troubleshooting across compute, storage and networking, and take real ownership, we would love to hear from you!
Key Responsibilities
Linux System Administration:
Operate and maintain Linux infrastructure based on Debian and Rocky Linux.
Virtualization & Cluster Management:
Operate and maintain Proxmox VE clusters and virtual machines.
Virtual Machine Lifecycle:
Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning.
System Updates & Upgrades:
Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades.
Production Maintenance Planning:
Plan and execute infrastructure maintenance activities in production environments.
Data Protection & Disaster Recovery:
Manage VM/server backup and restore processes and validate recovery procedures.
Infrastructure Troubleshooting:
Troubleshoot infrastructure issues across compute, storage, operating systems, and networking.
Automation & Scripting:
Automate repetitive operational tasks using Ansible and scripting.
Infrastructure Migrations:
Participate in infrastructure migrations and production changes.
Change Management & Risk Mitigation:
Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes.
Requirements
5+ years of hands-on experience with Linux infrastructure.
Strong knowledge of
Debian / Rocky Linux
.
Hands-on production experience with
Proxmox VE
, KVM/QEMU and Proxmox clusters.
Good understanding of cluster concepts including
quorum, Corosync and failure scenarios
.
Strong practical experience with
ZFS
, including pools, datasets, snapshots, replication, disk replacement and failure recovery.
Experience with VM migration and live migration.
Experience performing Linux and Proxmox updates/upgrades.
Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo.
Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics.
Hands-on experience with backup and restore, including recovery after VM or server failures.
Understanding of backup, snapshot and replication concepts.
Experience with
Proxmox Backup Server
or similar solutions.
Practical experience with
Ansible
, Bash and Git.
Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues.
Nice to Have
Experience with
shared or distributed storage systems
, such as Ceph, SAN, iSCSI, NFS or similar solutions.
Python.
Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana.
Experience with physical servers and data center hardware.
Hardware RAID / HBA.
IPMI / iDRAC / iLO.
Experience participating in disaster recovery or infrastructure migration projects.
Soft Skills
Strong ownership and responsibility.
Careful approach to production changes.
Ability to troubleshoot complex infrastructure issues independently.
Good documentation and communication skills.
Focus on automation, reliability and operational simplicity.
Benefits
Recharge your batteries with 20 paid working vacation days annually to explore, relax, and rejuvenate.
Kick off your birthday month with a bang! Not only do you get heartfelt birthday wishes from your team, but you also enjoy a fully-paid day off.
Get legal support for obtaining a local work/residence permit.
Prioritize your health with compensation for wellness activities.
Experience an international work environment with a passionate, motivated, and professional team.
We support your health by partially or fully reimbursing medical insurance costs, depending on the chosen plan.
Invest in your growth using professional development compensation.
Boost your energy and morale with complimentary snacks available in the office.
Foster camaraderie and celebrate achievements through engaging in corporate events throughout the year.
Проектирование и управление инфраструктурой AWS (VPC, IAM, EKS/ECS, S3, EventBridge) с использованием Terraform в средах DEV, QA и Production. Создание и поддержка CI/CD-конвейеров и стандартизированного процесса развертывания для команд AI-агентов.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Data Engineer supporting Billing & Payments Engineering, you’ll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You’ll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You’ll make sure teams have trustworthy data that scales with our growth, and you’ll lead your own projects to enable self-serve insights that help teams make data-driven decisions.
Key responsibilities
Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements
Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets
Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems
Define success metrics for billing systems, and build the data models and monitoring to track them
Set data integrity standards and SLAs for timely, accurate delivery of billing and revenue data
Share on-call and data operations responsibilities for Finance Data Engineering pipelines
Build dashboards and self-serve data products that track core metrics and deliver insights across the company
Promote best practices for dbt, data modeling and SQL
Influence the Billing Engineering roadmap from a data systems perspective
Build a thorough understanding of our data models and data architecture
Minimum qualifications
Experience as a Data Engineer, Analytics Engineer or in a similar role
Experience with SQL and Python, and building multi-step data pipelines with tools like dbt
Experience with workflow orchestration tools like Airflow, and version control with GitHub
Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems
Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams
Ability to prioritize and deliver practical solutions quickly
Willingness to solve problems end to end, including work beyond the original scope
Ability to define next steps and keep work moving when requirements are unclear
Interest in Anthropic’s mission of building safe and beneficial AI
Preferred qualifications
5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role
Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation
Experience building an analytics or data engineering function from an early stage
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Для тех, кто хочет развивать систему для автоматизации найма. Ты будешь заниматься расширением функционала приложения в одной из команд Т‑Банка и получишь опыт разработки бэкенда на .NET, работы с SQL и написания ботов.
Location: Palo Alto, United States
📍
Location:
Palo Alto, CA
📄
Employment Type:
Contract
🏢
Work Arrangement:
On-site
🚀
Start Date:
TBD
💰
Compensation:
TBD — based on skills and experience
Important Screening Requirements
5+ years of experience
in post-silicon characterization, high-speed I/O (HSIO) validation, or memory electrical validation.
Hands-on experience characterizing
high-speed SerDes PHYs
, particularly PCIe.
Experience measuring
eye diagrams, jitter, bit error rate (BER), and S-parameters
.
Proficiency with high-speed oscilloscopes, bit error rate testers (BERT), and VNA/TDR equipment.
Ability to read and interpret schematics and PCB layouts.
Experience debugging electrical issues directly at the probe point.
Python scripting experience for laboratory test automation.
Background in semiconductor, silicon, or systems companies, including SoC, GPU, networking, storage, or automotive compute.
Must be willing to work
on-site in Palo Alto, CA
.
About the Role
We are seeking a hands-on
PCIe Characterization Engineer
to perform post-silicon electrical characterization and validation of high-speed SerDes physical-layer interfaces in a laboratory environment.
The role focuses on conducting high-speed electrical measurements, analyzing signal integrity, and validating silicon performance. You will independently operate laboratory equipment, troubleshoot signal-level issues, interpret hardware schematics and PCB layouts, and automate characterization workflows using Python.
The successful candidate will have direct experience with high-speed interface characterization and the practical skills needed to investigate electrical performance issues at the measurement and probe points.
What We’re Looking For
We’re looking for an experienced
post-silicon characterization or HSIO validation engineer
with strong hands-on laboratory skills and practical knowledge of high-speed electrical measurements.
The ideal candidate can independently perform eye, jitter, BER, and S-parameter measurements; operate high-speed test equipment; interpret schematics and layouts; and troubleshoot signal integrity issues directly in the lab.
Strong candidates will combine experience with
PCIe and SerDes interfaces, high-speed measurement instrumentation, electrical debugging, and Python-based lab automation
.
Key Responsibilities
Post-Silicon Characterization & Validation
Perform post-silicon electrical characterization of high-speed SerDes PHYs, including:
PCIe
Ethernet
UFS
LPDDR5
Support high-speed interface validation and investigate electrical performance issues.
Analyze characterization results to assess high-speed interface performance.
Identify and troubleshoot signal-level issues during testing.
High-Speed Electrical Measurements
Conduct
eye diagram, jitter, bit error rate (BER), and S-parameter measurements
.
Independently operate laboratory measurement equipment, including:
High-speed oscilloscopes
Bit error rate testers (BERT)
Vector network analyzers (VNA)
Time-domain reflectometry (TDR) equipment
Analyze measurement data to evaluate electrical performance and signal integrity.
Document test configurations, measurement results, and characterization findings.
Schematic Analysis & Electrical Debugging
Read and interpret electrical schematics and PCB layouts to support characterization activities.
Troubleshoot signal integrity and electrical issues directly at probe points.
Investigate measurement anomalies and high-speed interface performance problems.
Apply practical electrical measurement and debugging techniques to identify potential issues.
Python Lab Automation
Develop and maintain
Python scripts
to automate laboratory measurements and characterization workflows.
Support repeatable and efficient execution of electrical tests.
Improve laboratory testing efficiency through reusable automation scripts.
Assist with measurement data collection, analysis, and documentation.
Cross-Functional Validation Support
Support high-speed interface validation activities across relevant silicon and systems platforms.
Collaborate with engineering teams to investigate electrical performance issues.
Communicate measurement findings, debugging results, and characterization progress.
Maintain clear technical documentation of test procedures, configurations, and results.
Required Qualifications
5+ years of experience
in post-silicon characterization, HSIO validation, or memory electrical validation.
Experience working at a semiconductor, silicon, or systems company in areas such as SoC, GPU, networking, storage, or automotive compute.
Hands-on experience with high-speed SerDes PHY characterization.
Practical experience measuring eye diagrams, jitter, BER, and S-parameters.
Proficiency using high-speed oscilloscopes, BERT, and VNA/TDR equipment.
Experience reading and interpreting schematics and PCB layouts.
Strong laboratory debugging and electrical measurement skills.
Python scripting experience for test and measurement automation.
Strong analytical, troubleshooting, and problem-solving abilities.
Willingness to work on-site in Palo Alto, CA.
Preferred Qualifications
Experience with
PCIe electrical characterization and validation
.
Exposure to Ethernet, UFS, or LPDDR5 interfaces.
Experience with high-speed signal integrity measurements and analysis.
Background in silicon validation for SoC, GPU, networking, storage, or automotive-compute products.
Experience developing reusable automation scripts and improving laboratory test efficiency.
Location: Palo Alto, United States
We’re looking for an experienced engineer to perform post-silicon electrical characterization and validation of high-speed interfaces, including PCIe, Ethernet, UFS, and LPDDR5.
Requirements:
5+ years of experience in post-silicon characterization, HSIO validation, or memory electrical validation.
Hands-on experience with eye, jitter, BER, and S-parameter measurements.
Experience using high-speed oscilloscopes, BERT, VNA, and TDR equipment.
Ability to read schematics and PCB layouts and debug issues at the probe level.
Python scripting for lab automation.
Experience at a semiconductor or systems company preferred.
Location: United States
Location:
Palo Alto, CA (On-site)
Job Type:
Contract
Job Overview
We are seeking an experienced
PCIe Characterization Engineer
to perform post-silicon electrical characterization and validation of high-speed SerDes PHYs. This role involves hands-on laboratory testing, electrical measurement, signal integrity analysis, and debugging of high-speed interfaces across PCIe, Ethernet, UFS, and LPDDR5 technologies.
The ideal candidate has a strong background in post-silicon characterization or high-speed I/O (HSIO) validation, with practical experience using advanced lab equipment and developing Python scripts for test automation.
Key Responsibilities
Perform post-silicon electrical characterization of high-speed SerDes PHYs and memory interfaces.
Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements.
Operate high-speed oscilloscopes, bit error rate testers (BERT), vector network analyzers (VNA), and TDR equipment.
Analyze schematics and PCB layouts to identify signal integrity issues and support electrical debugging.
Perform hands-on troubleshooting and debug at the probe point to isolate and resolve hardware-level issues.
Develop and maintain Python scripts for laboratory test automation, data collection, and analysis.
Analyze characterization results, document findings, and collaborate with cross-functional engineering teams to improve interface performance.
Support validation activities for high-speed interfaces, including PCIe, Ethernet, UFS, and LPDDR5.
Required Qualifications
5+ years of experience in post-silicon characterization, HSIO validation, SerDes validation, or memory electrical validation.
Hands-on experience characterizing high-speed electrical interfaces in a semiconductor or systems engineering environment.
Proficiency with high-speed oscilloscopes, BERT, VNA, and/or TDR measurement equipment.
Practical experience measuring and analyzing eye diagrams, jitter, BER, and S-parameters.
Ability to read and interpret schematics and PCB layouts for hardware-level debugging.
Experience with Python scripting for laboratory automation and test data analysis.
Strong troubleshooting, analytical, and problem-solving skills.
Ability to work on-site in Palo Alto, California.
Preferred Qualifications
Experience with PCIe, Ethernet, UFS, LPDDR5, or other high-speed SerDes and memory interfaces.
Background working with SoCs, GPUs, networking hardware, storage systems, or automotive computing platforms.
Experience with signal integrity analysis and post-silicon hardware validation.
Previous experience in semiconductor, silicon design, or systems companies.
Ideal Candidate Profile
Candidates with titles such as
PCIe Characterization Engineer, Signal Integrity Engineer, HSIO Validation Engineer, Post-Silicon Validation Engineer, or SerDes Validation Engineer
are encouraged to apply.
Candidates currently based in the San Francisco Bay Area are strongly preferred due to the on-site nature of the position.
делаем платёжку для крипты и карт, щас распиливаем старый монолит на питоне на сервисы и хотим успеть до нового года, в пике около 3к рпс. стек го, постгрес, кафка, редис, кликхаус, всё крутится в кубере.
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency.
Role Overview
We are seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that make Backblaze B2 Cloud Storage a natural part of how AI workflows are constructed and deployed. This is a front-row seat to the AI ecosystem as it evolves, working directly with the latest AI startups, open source frameworks, and developer tools. This role is expected to actively use the latest AI coding agents and tools as part of everyday development work.
The primary objective is to build and contribute production-quality open source integrations, new frameworks, and end-to-end example applications that demonstrate how B2 supports AI workflows. A practical understanding of AI workflows, agent-based systems, and data orchestration is required. This role demands continuous learning and hands-on testing of emerging AI frameworks and APIs as they mature, and is best suited for someone genuinely excited to work at the forefront of AI development.
What You’ll Be Doing
Use AI coding agents to build coding harnesses to accelerate the development, testing, and maintenance of public and internal applications, SDKs, notebooks, and reference implementations that demonstrate AI and cloud storage best practices.
Implement and maintain open source AI integrations, frameworks and example applications using languages commonly used in the open source ecosystem, including Python, TypeScript, Go, and Rust.
Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance.
Contribute to open source projects through code contributions, issue triage, reviews, and ongoing maintenance.
Ensure all open source assets meet high standards for testing, documentation, reproducibility, and developer usability.
Maintain clean, well-structured GitHub repositories intended for external adoption and community contribution.
Collaborate with Product and QA to ensure integrations reflect real customer AI workflows and Backblaze B2 usage patterns.
Tools and Technologies
Languages: Python, TypeScript, Go, JavaScript and other open source languages
Backblaze B2 SDKs and REST APIs
Open source AI frameworks and tooling
AI coding agents, such as Claude Code, Antigravity and Codex
Jupyter and Google Colab notebooks
GitHub, pytest, CI pipelines
What We’re Looking For
Software engineer with experience contributing to open source projects in one or more widely used open source languages.
Comfortable owning and maintaining public repositories with external users and contributors.
Practical understanding of AI workflows, including data ingestion, preprocessing, inference, and agent-based systems.
Experience writing production-quality code with strong testing and documentation practices.
Strong written communication skills with a focus on developer experience and adoption.
Why Backblaze
Build open source software used by developers worldwide.
Work at the intersection of AI, data, and cloud storage.
Collaborate with experienced engineering, product, and QA teams.
Competitive compensation and benefits.
Remote-first culture supporting work-life balance.
At this point, we hope you are excited about the opportunity. Even if you do not meet every requirement, we encourage you to apply. Learning, development, and growth are important parts of our culture. We are eager to meet people who believe in our mission and can contribute to our team in different ways. We want employees to feel comfortable bringing their full selves to work and doing their best work here.
At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are central to those values. We are committed to fostering a workplace where employees experience a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socioeconomic status, ability, veteran status, or education. We believe a diverse workforce helps us better serve customers around the world and reinforces our commitment to doing the right thing.
Backblaze is proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please review the
Backblaze Employee Privacy Notice
.
#LATAM
