• Support and maintain mainframe z/OS storage environments • Perform storage configuration changes through ServiceNow change management processes • Manage storage allocation, monitoring, utilization, and backup/recovery activities • Support and enhance disaster recovery strategies and processes • Administer and support DFSMS, DFHSM, DFDSS, DFSMSrmm, FDR, and GDPS environments • Support IBM DS8000 and TS7700 storage systems • Utilize and support JCL and ISPF utilities • Support DB2 SLB (HSM Fast Replication backup) processes • Leverage storage tools including IBM Tivoli Advanced Allocation Manager, IBM Advanced Catalog Management, and DFSMS Advanced Allocation Manager • Monitor storage environments using tools such as CA Vantage or IBM Omegamon XE • Participate in on-call rotations and off-hours change windows

Role Description In this role, you will design and deliver multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll architect high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as WekaFS, Ceph, and Lustre, and drive aggressive cost optimization—routinely achieving 30-50% savings through intelligent tiering, lifecycle policies, capacity forecasting, and right-sizing. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Qualifications - 8+ years in storage engineering with 3+ years managing distributed storage at multi-petabyte scale - Proven track record deploying and operating high-performance storage for GPU/HPC clusters - Deep Kubernetes and cloud-native storage experience in production environments - Strong coding skills in Go and Python with demonstrated ability to build production-grade tools - BS/MS in Computer Science, Engineering, or equivalent practical experience - History of technical leadership: designing systems that significantly improved performance (>3x), reliability (99.9%+ uptime), or cost efficiency - Distributed Storage Systems: Deep expertise in WekaFS, Lustre, GPFS, BeeGFS, or similar parallel filesystems at multi-petabyte scale - Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management - Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers - Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (100+ GB/s aggregate cluster throughput) - Programming: Go and Python for automation, operators, and tooling - Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD) - Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations - Observability: Prometheus, Grafana, Thanos architecture and operations Requirements - GPU Direct Storage (GDS), NVMe-oF, storage networking (100GbE/400GbE) - ML/AI storage patterns (model weights, checkpointing, dataset caching) - Kubernetes operator development (controller-runtime, kubebuilder) - Storage snapshots, cloning, and thin provisioning - Backup and disaster recovery (Velero, Restic, cross-region replication) - Storage encryption (at-rest and in-transit), security and compliance - Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace) Benefits - Competitive compensation - Startup equity - Health insurance - Flexibility in terms of remote work Company Description Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Title: Staff Software Engineer, Infrastructure Job Description: Location Remote usa Employment Type Full time Location Type Remote Department Research & Development Building at Check At Check, we make paying people simple. In doing that, we’re not just building our own business— we’re building payroll businesses together with every one of our partners. As the inventors of embedded payroll, we’re redefining how people get paid and making it easier for payroll businesses to launch, grow, and thrive. Check out the full story | Tune in. Check is far more than just API infrastructure. We’re a springboard for building and scaling payroll businesses. Our Team Payroll is broken. Come fix it alongside a team that’s as passionate as you are! At Check, you'll use creative problem-solving, critical thinking, and grit to impact every business we build. We view problems to solve and jobs to be done as opportunities to contribute to the solution; we ignore conventional role boundaries in favor of the unique strengths and value each builder brings to our team and to our mission. Join us if you’re ready to roll up your sleeves and redefine payroll. Let’s simplify the complex, make a real impact, and create a better future for businesses of every size. The Work Engineering is the core of Check. We believe payroll should feel like modern financial software, and delivering that experience requires deep systems thinking and infrastructure that operators and partners can trust. Every product we ship depends on reliable, scalable, and secure systems that move money and deliver paychecks on time. We’re looking for a Staff Software Engineer who combines strong software design skills with hands-on infrastructure experience. In this role, you’ll work on the foundational systems that power every payroll run, improving how we scale our services, operate them in production, and give engineers the tools to ship software safely and confidently. You’ll work across product and platform areas to evolve our cloud infrastructure, strengthen how we deploy and observe systems, and simplify the architecture that powers embedded payroll. The problems you tackle will often sit at the intersection of infrastructure, product, and operations. This role is ideal for someone who has owned complex systems end-to-end in fast-paced environments and who takes pride in building infrastructure that is resilient, understandable, and foundational to how the business runs. In this role, you will: - Design and evolve the systems that power every payroll run, the infrastructure responsible for moving money, calculating taxes, and ensuring payroll runs reliably at scale. - Run at scaling and reliability challenges across our platform, improving how systems behave as our partners and payroll volumes grow. - Simplify infrastructure and architecture over time by identifying bottlenecks, reducing operational complexity, and making systems easier for engineers to reason about. - Improve how engineers build and ship software by strengthening CI/CD, observability, and developer tooling across the platform. - Take ownership of key technical outcomes from initial design through production rollout and ongoing operation. - Work with leaders during company planning cycles to discuss technical improvements we need to make - Partner closely with product and engineering teams to deliver technical solutions that unlock new product capabilities. - Work in the open by sharing context, writing clear technical proposals, and helping teams align around thoughtful solutions. - Raise the engineering bar by mentoring teammates, sharing knowledge, and helping the team build systems we’re proud to operate. Our Stack - Python / Django for our API - React and TypeScript for our frontends - AWS and Terraform for our cloud infrastructure - Postgres / RDS for our database - Temporal for workflow orchestration - GitHub for issue tracking and CI/CD Many backgrounds could fit this role, but ideal candidates will have some or all of the following: - Experience working in startup environments where engineers own infrastructure as well as product systems. - Experience designing and operating complex systems that have scaled or evolved significantly over time. - Hands-on experience with AWS, Terraform, Docker, and modern CI/CD systems. - Strong systems design skills and a track record of building reliable, maintainable services. - Comfort debugging complex production issues and improving systems through thoughtful simplification. - Proficiency in Python (experience with TypeScript or React is a plus). - Ability to bring clarity to ambiguous technical problems and help teams align on practical solutions. What we offer: For full-time employees, Check offers stock options, flexible PTO and sick leave, up to 16 weeks of fully paid parental leave for new parents, flexible return-to-work, 9 annual holidays, a 401 (k) retirement plan, and a $100 monthly stipend for home internet and mobile phone expenses. We also provide high-quality medical, dental, vision, short-term/long-term disability, and basic life insurance coverage, effective on your first day of work. At Check, transparency and fairness in compensation are our top priorities: our compensation bands are visible to all employees across all roles. The actual annual salary for this role is dependent on each candidate’s experience, qualifications, and work location: - In San Francisco, NYC, LA, and Seattle, the expected range is between $225,000 and $247,500. - For all other locations, the expected range is between $214,000 and $235,400. We accept applications on an ongoing basis with no specified deadline. Travel and Office Policy This role can be remote, hybrid, or based in one of our offices in New York City or San Francisco. The Check team is distributed across the US! While we welcome remote work, personal time is valuable and important. We offer ample opportunities and encourage employees to attend team offsites, events, and hackathons a couple of times a year! All employees must be willing to attend our annual 3-day company offsite in the spring. For our in-office and hybrid employees, our offices are open all week. We provide meals on Tuesdays and Thursdays and the team hosts regular happy hours, game nights, etc. Remote work at Check requires the ability to perform all responsibilities without distraction or disruption, while maintaining quality, effective communication, and productivity. Check is proud to be an Equal Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, provided they are consistent with applicable federal, state, and local laws. Check is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. Check participates in E-Verify and will provide the federal government with Form I-9 information from all new employees to confirm that they are authorized to work in the U.S. Check does not use E-Verify to pre-screen applicants.

Design and operate large-scale data pipelines, build ingestion systems for diverse modalities, and implement data cleaning and quality assurance processes to enhance AI training and evaluation workflows.