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Checkpoint Network Engineer Jobs in Austin, TX (NOW HIRING)

BitDeer

AI Storage Solutions Expert

Austin, TX · On-site +1

Strong understanding of AI training I/O patterns: checkpoint frequency, dataset loading, shuffle buffers * Experience with high-performance storage networking (NFS over RDMA, NVMe-oF) * Knowledge of ...

Grocery TV

Staff Quality Assurance Engineer

Austin, TX

$150K - $175K/yr

We manage the complexities of operating an in-store media network, allowing retailers to focus on ... checkpoint owned by one person. Responsibilities * Own end-to-end manual test planning and ...

Grocery TV

Staff Quality Assurance Engineer

Austin, TX · On-site

$150K - $175K/yr

We manage the complexities of operating an in-store media network, allowing retailers to focus on ... checkpoint owned by one person. Responsibilities * Own end-to-end manual test planning and ...

All JobsCheckpoint Network Engineer JobsCheckpoint Network Engineer Jobs in Austin, TX

Checkpoint Network Engineer information

See Austin, TX salary details

$30.7K

$108.1K

$156.6K

How much do checkpoint network engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for checkpoint network engineer in Austin, TX is $108,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $132,300.00 per year, depending on experience, location, and employer.

What is a Checkpoint network engineer?

Checkpoint Network Engineers are IT professionals who specialize in designing, implementing, and managing network security solutions using Checkpoint technologies. They are responsible for configuring firewalls, VPNs, and other security appliances to protect an organization's network from cyber threats. These engineers troubleshoot security issues, ensure system updates, and monitor network traffic for vulnerabilities. Their expertise helps organizations maintain a secure and compliant IT environment.

What are the key skills and qualifications needed to thrive as a Checkpoint network engineer?

To thrive as a Checkpoint Network Engineer, you need strong networking knowledge, expertise in firewall and security systems, and certifications such as Check Point Certified Security Administrator (CCSA) or Check Point Certified Security Expert (CCSE). Familiarity with firewall management tools, VPN technologies, and monitoring systems like Check Point SmartConsole is essential. Analytical thinking, problem-solving, and effective communication help engineers swiftly resolve issues and collaborate with IT teams. These competencies ensure robust network security, system reliability, and protection against cyber threats.

What are some common challenges faced by Checkpoint network engineers in maintaining network security?

Checkpoint Network Engineers often encounter challenges such as managing complex firewall rule sets, staying ahead of emerging security threats, and ensuring minimal downtime during upgrades or policy changes. They must regularly collaborate with IT, security, and compliance teams to keep network defenses robust and in line with organizational requirements. Adapting to rapidly changing security landscapes and troubleshooting connectivity issues without disrupting critical business operations are also key aspects of the role.

What is the difference between Checkpoint Network Engineer vs Firewall Engineer?

AspectCheckpoint Network EngineerFirewall Engineer
CertificationsCheckpoint Certified Security Expert (CCSE), CCNA, CCNPCertified Firewall Engineer (CFE), CCNA Security, CISSP
Work EnvironmentNetwork security teams, data centers, enterprise networksSecurity teams, network infrastructure, enterprise environments
Industry UsagePrimarily in organizations using Checkpoint security solutionsAcross various organizations managing multiple firewall platforms

Checkpoint Network Engineers focus on deploying, configuring, and maintaining Checkpoint security solutions, while Firewall Engineers work with various firewall technologies to protect network perimeters. Both roles require similar certifications and often operate within the same industry environments, but their specific toolsets and focus areas differ.

What are popular job titles related to Checkpoint Network Engineer jobs in Austin, TX?

For Checkpoint Network Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Checkpoint Network Engineer jobs in Austin, TX look for?

The top searched job categories for Checkpoint Network Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Checkpoint Network Engineer jobs?

Cities near Austin, TX with the most Checkpoint Network Engineer job openings:

Checkpoint Network Engineer jobs near you
Infographic showing various Checkpoint Network Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,081 per year, or $52 per hour.

AI Storage Solutions Expert

BitDeer

Austin, TX • On-site, Remote

Full-time

Posted 12 days ago

Job description

About Bitdeer Technologies Group
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
Position Overview
You own the IO layer that trains the models - and the signals we need to predict storage faults before a checkpoint stalls a $50M training run.
Bitdeer is building an AI-operated GPU cloud. Storage is where AI workloads either fly or fall over: a slow parallel read can starve a 1,000-GPU job; a stalled checkpoint can waste a full training epoch. In this role you deploy and operate the high-performance storage layer for AI training and inference across NeoCloud's US DCs, and you feed the AIOps substrate with the signals it needs to catch storage regressions before they page a customer.
What you'll own
  • Deploy and operate parallel/distributed storage systems: WEKA, VAST Data, Ceph, DDN/Lustre. Design storage architectures optimized for AI workload patterns - checkpoint I/O bursts, sequential dataset reads, KV cache for inference.
  • Implement multi-tenant storage isolation with per-tenant QoS, quotas, and access controls; configure and optimize GPU Direct Storage for direct GPU-to-storage data paths.
  • Deploy and manage storage networking (NFS over RDMA, NVMe-oF, high-speed storage fabrics) and Nvidia CMX for cluster-wide storage orchestration.
  • Diagnose and tune storage performance: IOPS, throughput, latency profiling with fio, IOR, mdtest; own the runbook for common failure modes.
  • Plan storage capacity aligned with GPU cluster growth and customer workload projections; manage firmware, data migration, and DR procedures.

Feed the AIOps substrate
  • Instrument storage telemetry - IO tail latency, checkpoint durations, NVMe SMART, filesystem health, RDMA counters - into the metrics/logs/traces store the platform team runs.
  • Partner with the platform team to define the storage-fault predictor: which signals, which labels (from your incidents), which false-positive tolerances.
  • Convert every novel incident into an automation: SOPs become runbook-as-code, runbook-as-code becomes an agent-executable remediation.

What success looks like in year 1
  • Observability and a baseline predictor for the top 3 storage-fault classes on our fabric.
  • Storage-incident MTTR measurably lower than at hire.
  • The Nvidia GB200-class clusters we build out ship on your storage design.

Job Requirement:
  • 5+ years in enterprise or HPC storage operations, with at least 2 years supporting AI/ML workloads
  • Hands-on deployment and operations experience with at least two of: WEKA, VAST Data, Ceph, DDN/Lustre
  • Strong understanding of AI training I/O patterns: checkpoint frequency, dataset loading, shuffle buffers
  • Experience with high-performance storage networking (NFS over RDMA, NVMe-oF)
  • Knowledge of GPU Direct Storage and RDMA-based data transfer
  • Proficiency in storage performance benchmarking and tuning (fio, IOR, mdtest)
  • Experience implementing multi-tenant storage with isolation and QoS
  • Strong Linux systems knowledge (kernel tuning, filesystem internals, block device management)
  • Instinct for turning ops toil into ML signal - you've either shipped an anomaly detector for storage/IO telemetry or you can articulate the labels and features you'd need to.
  • Runbook-as-code mindset - every SOP you write should be executable by a machine within a quarter.

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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