--- title: 'Software Engineer - Observability (Pulse) at Acceldata' canonical: 'https://feeny.ai/job/software-engineer-observability-pulse-acceldata-campbell-74pk7v8ht0hn' type: 'job' last_seen: '2026-10-15' --- # Software Engineer - Observability (Pulse) at Acceldata - **Company:** Acceldata - **Location:** Campbell, CA - **Compensation:** $80k–$100k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-12 - **Last confirmed live:** 2026-10-15 - **Apply:** https://jobs.lever.co/acceldata/c12c39cb-68c1-45ae-9a88-601e297957b1 ## Job description We are looking for a Software Engineer to join the Pulse product team at Acceldata. In this role, you will contribute to building and scaling Pulse, our data observability platform, by developing high-quality software, enhancing system performance, and delivering impactful features that improve data reliability and insights for customers. Product Link: https://www.acceldata.io/pulse Key Responsibilities: - Design, develop, and maintain large-scale, scalable software applications. - Write clean, efficient, and well-tested code following industry best practices. - Collaborate with cross-functional teams to define, design, and deliver new features. - Troubleshoot, debug, and resolve production issues in a timely manner. - Participate in code reviews to maintain code quality and share knowledge. - Continuously learn and adopt new technologies, tools, and frameworks. Required Qualifications & Skills: - Master’s degree in Computer Science, Engineering, or a related field. - Proficiency in one or more programming languages such as Java, Python, or Go. - Strong understanding of data structures, algorithms, and system design. - Experience with distributed systems and scalable architectures. - Familiarity with RESTful APIs and microservices architecture. - Strong problem-solving skills and attention to detail. - Good communication and collaboration skills. Key Competencies: - Ownership and accountability - Analytical thinking - Collaboration and teamwork - Adaptability and continuous learning - Customer-focused mindset ## About Acceldata ## Company Overview - **One-liner**: Acceldata provides an autonomous agentic data management platform that enables enterprises to observe, govern, and optimize complex data and AI workloads across hybrid cloud environments. - **Entity Type**: Private (Series C) - **Headquarters**: Campbell, California, USA - **Founded**: 2018 - **Founders**: Rohit Choudhary (CEO), Ashwin Rajeeva (CTO), Raghu Kandikonda (Co-Founder & VP Engineering) ## Core Business - **Primary industry**: Data Observability, Agentic Data Management, AI Infrastructure - **Target customers**: Large enterprises (B2B, Enterprise) – customers include Dun & Bradstreet, AT&T, Oracle, DBS - **Mission statement**: Deliver the promise of data quality and reliability at exabyte scale, blending the best of on-premises and cloud worlds, and providing real-time AI monitoring with structured, unstructured, and streaming data inputs. ## Products & Services - **Data & AI Observability**: End-to-end visibility into AI agents, Hadoop, data quality, pipelines, and platforms. - **Agentic Data Management**: Autonomous detection, diagnosis, and resolution across the data estate. - **Data Warehousing**: Modern data warehousing capabilities built on the xLake platform. - **Data Platform Modernization**: Open-source foundation for Hadoop modernization across cloud, on-prem, and hybrid environments. - **xLake Platform**: The unified, customer-controlled control plane that runs every Acceldata product. Federated compute planes execute workloads where data resides, with built-in governance, observability, and lineage. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total Funding – Series C round (amount undisclosed); over 1 trillion data and agent interactions daily; 200+ teams worldwide rely on Acceldata. - **Notable Investors/Partners**: Insight Partners (lead investor); key customers include Dun & Bradstreet, AT&T, Oracle, DBS. - **Growth Signals**: Headcount growth to 201–1000 employees; expansion into Canada (Kitchener) and UK (London); new product launches (xLake, Agentic Data Management); recognition as pioneer and leader in data observability category. ## Competitive Advantages - First to coin the term “Data Observability” and pioneer the category. - Unified xLake platform with a single control plane that works across hybrid cloud, on-prem, and edge. - Patented technology in data processing and related fields; contributions to Apache Ambari and Apache Zeppelin. - Deep expertise in complex data systems from founders’ experience at Hortonworks, Zalando, and Adobe. - Agentic approach – autonomous detection and resolution reduces manual intervention. ## Strategic Focus - Accelerating enterprise adoption of autonomous data management and AI agents. - Expanding hybrid cloud capabilities so workloads run where data lives. - Enhancing the agentic brain for orchestration, governance, and observability of AI agents and data pipelines. - Growing the platform from a single product to a suite of products (Observability, Data Management, Warehousing, Modernization) that can be used individually or together. ## Why Work Here - **Culture highlights**: Acceldata describes itself as a dynamic, innovative environment where creativity thrives, ideas flourish, and collaboration fuels breakthroughs. Values curiosity, diversity, and a shared commitment to excellence. - **Remote/hybrid/office policy**: Multiple office locations (Campbell HQ, Bangalore, Kitchener, London). Job postings indicate on-site, hybrid, and full-time remote options depending on role. - **Notable perks/engineering culture**: Deep technical roots in open-source (Apache projects) and big data systems. Opportunity to work on cutting-edge data observability and AI agent infrastructure at scale. Leadership team includes experienced executives from Hortonworks, Adobe, and other tech leaders. Series C funding provides stability and growth trajectory. ## Sources 1. [acceldata.io/about-us](https://www.acceldata.io/about-us) 2. [acceldata.io/careers](https://www.acceldata.io/careers) 3. [acceldata.io](https://www.acceldata.io/) 4. [jobs.lever.co/acceldata](https://jobs.lever.co/acceldata) 5. 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