ABOUT US
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.
Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.
Position Summary:
As a Product Specialist, you will join a team of highly skilled engineers who thrive on tackling new and impactful challenges, shaping the future of Acceldata’s support services. In this collaborative and dynamic environment, you will leverage your business acumen, technical expertise, and interpersonal skills to make a tangible difference for our valued customers. As one of the first Product Specialists, you will play a critical role in creating meaningful solutions while actively listening and empathizing with customers who are navigating complex product issues.
We are looking for someone who can:
- Provide Support Services to our Enterprise customers using our flagship Acceldata product suits. This may include assistance provided during the engineering and operations of distributed systems as well as responses for mission-critical systems and production customers.
- Manage the day-to-day aspects of support cases, incidents, and escalations
- Ensure issues have the appropriate focus and are resolved as expediently as possible
- Document and record all activity in accordance with both internal and external security standards
- Research, reproduce, troubleshoot, and solve highly challenging technical issues.
- Demonstrate the ability to actively listen to customers and show empathy to the customer’s business impact when they experience issues with our products
- Participate in the queue management and coordination process by owning customer escalations, and managing the unassigned queue.
- Be involved with and work on other support-related activities - Performing POC & assisting Onboarding deployments of Acceldata & Hadoop distribution products.
- Triage, diagnose and escalate customer inquiries when applicable during their engineering and operations efforts.
- Collaborate and share solutions with both customers and the Internal team.
- Investigate product-related issues both for particular customers and for common trends that may arise
- Study and understand critical system components and large cluster operations
- Differentiate between issues that arise in operations, user code, or product
- Coordinate enhancement and feature requests with product management and the Acceldata engineering team.
- Flexible in working in rotational shifts. Participate in a Rotational weekend on-call roster for critical support needs.
- Participate as a designated or dedicated engineer for specific customers. Aspects of this engagement translate to building long-term successful relationships with customers, leading weekly status calls, and occasional visits to customer sites
What makes you the right fit for the position:
- 10+ years of Experience with a highly-scalable, distributed, multi-node environment (50+ nodes)
- At least 2+ years of experience with at least one of the following cloud platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and experience with managing and supporting a cloud infrastructure on any of the 3 platforms.
- Docker and Kubernetes configuration and troubleshooting, including Helm charts, storage options, logging, and basic kubectl CLI
- Expertise in Hadoop operations (Zookeeper, HDFS, YARN, Hive).
- Authentication and security configuration and tuning (KNOX, LDAP, Kerberos, SSL/TLS, second priority: SSO/OAuth/OIDC, Ranger/Sentry).
- Strong troubleshooting skills (in the example, TCP/IP, DNS, File system, Load balancing, database, Java).
- Bachelor’s degree in Computer Science or Engineering or equivalent experience.
- Excellent communication skills in English (written and verbal)
- Prior enterprise support experience in a technical environment - Java troubleshooting, e.g., collection and evaluation of jstacks, heap dumps
Good to have:
- Certification on any of the leading Cloud providers (AWS, Azure, GCP ) and/or Kubernetes
- Master’s degree
- Linux, NFS, Windows, including application installation, scripting, basic command line
- Experience working with scripting languages (Bash, PowerShell, Python)
- Working knowledge of application, server, and network security management concepts
- Familiarity with virtual machine technologies
- Knowledge of databases like MySQL and PostgreSQL
At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.
#LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be!
We also believe in providing our employees with the right tools and resources to help them excel at their jobs. We offer:
- PTO Plan with unlimited negative balance
- RRSP Plan
- Up to 100% employer-paid benefit options for health, dental, and vision coverage
- Supplemental Benefits
- Apple Air Mac Equipment
- Office gym access (includes workout equipment, basketball court, and showers)
- Becoming part of the team that coined the term “Data Observability”!
