WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

Location: Hybrid (On-site Bangalore 3 days; Remote)

Shift: This role operates on US business hours (third shift IST), covering either US West Coast (approximately 9:30 PM–6:30 AM IST) or US East Coast (approximately 6:30 PM–3:30 AM IST), and may shift based on client need.

What you'll be doing:

As a Senior Designated Services Engineer, you will play a key role in ensuring WEKA's Customer Success, contributing to our five-star Gartner reviews. You will work with cutting-edge technologies and top-tier customers, providing technical expertise and strengthening customer relationships. Collaborating closely with Account Teams, you will gain deep insight into customers' business requirements, technical needs, and system environments. Your role involves resolving technical issues, bridging gaps between customers and Engineering, and ensuring the highest level of service.

As a Senior Designated Services Engineer, you’ll:

Serve as the primary technical liaison between customers and Engineering to address feature gaps, reliability concerns, and documentation improvements.
Troubleshoot and resolve technical issues, escalating to Engineering when necessary.
Provide feedback to Engineering to enhance product supportability, usability, and serviceability.
Support pre-sales engineers, partners, and resellers with technical expertise.
Proactively monitor WEKA systems using remote monitoring tools to identify and address potential issues.
Own, track, and document customer issues via the ticketing system.
Communicate clearly and professionally with customers, partners, and internal teams.
Contribute to knowledge-sharing through internal and customer-facing documentation (FAQs, KB articles).
Manage multiple projects and support cases concurrently.
Advocate for customer concerns and represent WEKA externally.
Develop subject matter expertise in WEKA and customer technologies.
Participate in on-call, follow-the-sun support rotations as needed.
Availability for alternative work hours (nights, weekends, holidays) and potential regional/international travel.

Requirements:

10+ years in customer-facing technical roles, solving complex enterprise infrastructure issues.
Ability to diagnose hardware failures, network congestion, and performance bottlenecks.
Enterprise infrastructure L3 or higher support experience (Linux-based storage, networking, virtualization, cloud, etc.).
Strong technical troubleshooting in multi-platform, distributed environments.
Strong understanding of distributed storage systems.
Expertise in Linux/Unix administration.
Deep understanding of networking (Infiniband, Ethernet, DPDK, UCX), cloud computing, and distributed storage.
Proficiency in Python, Bash, and experience with automation scripting for system monitoring and troubleshooting.
Knowledge of POSIX, NFS, S3 protocols, log management, and monitoring tools (Prometheus, Grafana).

It's nice if you have:

Experience with JIRA, Confluence, Slack, and other collaboration tools.
Experience collaborating between customer support and product development teams.
Familiarity with Kubernetes, Containers, LXC, and cloud platforms (AWS, Azure, OCI, GCP).
Prior experience managing large-scale HPC clusters.
Strong technical writing skills and a creative approach to problem-solving.

The WEKA Way:

We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.

We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.

We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.

We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training

Designated Services Engineer

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