Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. As a Principal Product Manager You'll play a key role in setting the near term goals and long term strategy for the whole product. You'll lead collaboration efforts with cross functional teams to deliver product success. You'll build a coherent product narrative that ties together all of the strands of a product or set of features into a coherent whole. You'll be the go-to person for all strategic and tactical concerns on the product and business area and drive decisions to resolution. A day in the life of Principal Product Manager Work with cross functional teams and key stake holders to develop product vision, roadmap and design. Work with a team of 20+ engineers to plan and execute the product roadmap. Drive the product strategy for the sub-group. Mentor the Product managers by providing deep understanding of the overall product strategy, provide high level insights from formative research, market gaps or cutting edge technical insights. Drive the broader roadmap with a view beyond the next 12 months You are a great fit for this role if you have Bachelor's degree in Computer Science or a related field. 15+ years of experience in Product Development setup, with at least 8+ years of experience in Product Management. 5+ years of Enterprise Data Product experience as a PM. Experience in full cycle Product Management ( Ideation to Launch )- track record of delivering successful products and features, all the way through to adoption Experience leading Cross functional collaboration efforts. Deep technical understanding of the product and the complexities involved in building the product. Strong business acumen. Excellent articulation and presentation skills- ability to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form. Deep understanding of databases, data processing platforms, analytics tools and machine learning platforms. Ability to think rigorously and make hard decisions and trade-offs. Ability to work in ambiguous, fast-moving environments and have a curiosity to learn the domain at a deep level. Developing a high level of autonomy and responsibility while encouraging a healthy work environment. We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Show more Show less

As a Senior SDET You will be the gatekeeper for product and platform quality and come up with Project/Feature system test strategy, test plans, resource planning, and execution strategy. Develop maintainable test automation tools and automated test suites. You will also work closely with Software Engineers and solution engineers from the beginning of the development/test cycle and be an integral part of the engineering team. Along with automation, create expertise in data technologies, platform components, and features maintain test coverage, regression pipelines, and release management. A day in the life of a Senior SDET Develop, design, and maintain test automation frameworks and tools using programming languages such as Java or Python. Collaborate with development teams to develop test strategies and plans for new product features. Design, execute, and maintain automated test suites to ensure the quality of our products. Perform manual testing when necessary, and identify and report defects. Work with build management tools like Git, Jenkins, and other CI/CD tools to ensure smooth build and deployment processes. Collaborate with cross-functional teams to troubleshoot and resolve issues, and improve product quality. Monitor and analyse test results, and provide feedback to development teams to improve the efficiency and effectiveness of testing processes. You are a great fit, if you have Bachelor's degree in Computer Science or a related field. 4-8 years of experience in Test Automation with expertise in UI Automation ( Cypress / Selenium /Playwright ) and API Automation. Strong programming skills in Java or Python, and other scripting languages. Experience in database testing to validate data integrity, ensuring high availability and responsiveness of our data systems. Expertise in MongoDB / Cassandra / Elasticsearch / HBase is preferred. Good understanding of Kafka / Spark / Storm. Hands-on experience with building processes, CI processes, and managing QA environments. Experience working with build management tools like Git and Jenkins. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently as well as in a team environment. Bonus Points For Proficiency in Big Data Testing / Hadoop Testing. Show more Show less

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. A day in the life of a DevOps Engineer Administer and maintain cloud environments (AWS, Azure, GCP) and ensure they are highly available, scalable, and cost-efficient. Design, implement, and optimize CI/CD pipelines to enable fast, reliable, and automated software delivery. Deploy, manage, and maintain Kubernetes clusters across different environments Work closely with software developers to streamline code deployment, reduce bottlenecks. Set up monitoring, alerting, and logging systems to ensure system reliability, availability, and performance. Respond to system outages and performance issues, troubleshoot, and implement solutions to improve stability and reliability. You are a great fit for the role, if you have 2+ years of professional experience cloud platforms like AWS, Azure, or Google Cloud and their Kubernetes services (e.g., Amazon EKS, Azure AKS, GCP GKE). Expertise in containerization with Kubernetes and orchestration tools Ansible/ Puppet. Experience in developing Continuous Integration/ Continuous Delivery pipelines Expertise in Linux. Bonus Points for Experience in Enterprise Data product domain We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Show more Show less

About the Role: We are looking for an experienced Lead SDET for our ODP, specializing in ensuring the quality and performance of large-scale data systems. In this role, you will work closely with development and operations teams to design and execute comprehensive test strategies for Open Source Data Platform (ODP) , including Hadoop, Spark, Hive, Kafka, and other related technologies. You will focus on test automation, performance tuning, and identifying bottlenecks in distributed data systems. Your key responsibilities will include writing test plans, creating automated test scripts, and conducting functional, regression, and performance testing. You will be responsible for identifying and resolving defects, ensuring data integrity, and improving testing processes. Strong collaboration skills are essential as you will be interacting with cross-functional teams and driving quality initiatives. Your work will directly contribute to maintaining high-quality standards for big data solutions and enhancing their reliability at scale. You are a great fit for this role if you have Proven expertise in Quality Engineering, with a strong background in test automation, performance testing, and defect management across multiple data platforms. A proactive mindset to define and implement comprehensive test strategies that ensure the highest quality standards are met. Experience in working with both functional and non-functional testing, with a particular focus on automated test development. A collaborative team player with the ability to effectively work cross-functionally with development teams to resolve issues and deliver timely fixes. Strong communication skills with the ability to mentor junior engineers and share knowledge to improve testing practices across the team. A commitment to continuous improvement, with the ability to analyze testing processes and recommend enhancements to align with industry best practices. Ability to quickly learn new technologies What we look for: 6-10 years of hands-on experience in quality engineering and quality assurance, focusing on test automation, performance testing, and defect management across multiple data platforms Proficiency in programming languages such as Java, Python, or Scala for writing test scripts and automating test cases with hands-on experience in developing automated tests using other test automation frameworks, ensuring robust and scalable test suites. Proven ability to define and execute comprehensive test strategies, including writing test plans, test cases, and scripts for both functional and non-functional testing to ensure predictable delivery of high-quality products and solutions Experience with version control systems like Git and CI/CD tools such as Jenkins or GitLab CI to manage code changes and automate test execution within the development pipeline. Expertise in identifying, tracking, and resolving defects and issues, collaborating closely with developers and product teams to ensure timely fixes. Strong communication skills with the ability to work cross-functionally with development teams and mentor junior team members to improve testing practices and tools. Ability to analyze testing processes, recommend improvements and ensure the testing environment aligns with industry best practices, contributing to the overall quality of software.

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. We are looking for a Build and Release Engineer with hands-on experience in Maven-based Apache projects, CI/CD pipelines, Jenkins automation, Python scripting, and GitHub . The ideal candidate will manage build processes, automate release workflows, and ensure smooth software delivery. You are a great fit for this role if you have You will develop and maintain Python scripts to automate build, deployment, and monitoring tasks. Your focus will be on improving system reliability through automation and self-healing mechanisms. You will manage and enhance Maven-based build systems for Apache projects, automate release processes including branching, tagging, and versioning, and ensure that builds remain stable and reproducible across environments. Your role will involve designing, implementing, and optimizing CI/CD pipelines using Jenkins, streamlining deployment workflows, and troubleshooting build failures and pipeline issues. You will oversee source code repositories in GitHub, manage branching strategies, and collaborate with development teams on pull requests, code reviews, and maintaining repository hygiene. Collaboration with development and QA teams is essential to ensure smooth integration and deployment, along with maintaining clear documentation of build, release, and deployment processes. What we look for: 2-3 years of experience in Build & Release Engineering. Must have strong Java programming skills , along with proficiency in Python and Bash scripting for automation. Strong knowledge of Maven for build management. Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, etc.) . Strong understanding of GitHub (branches, tags, merge strategies). Experience in release automation and deployment workflows. Good troubleshooting skills for build failures and CI/CD issues. Nice-to-Have Skills: Experience with Docker & Kubernetes. Knowledge of Apache open-source projects. Familiarity with cloud platforms (AWS, GCP, or Azure). Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. As a Sr SDET You will be the gatekeeper for product and platform quality and come up with Project/Feature system test strategy, test plans, resource planning, and execution strategy. Develop maintainable test automation tools, and automated test suites. You will also work closely with Software Engineers and solution engineers from the beginning of the development/test cycle and be an integral part of the engineering team. Along with automation, create expertise in data technologies, platform components, and features. Maintain test coverage, regression pipelines, and release management. A day in the life of Sr SDET Develop, design, and maintain test automation frameworks and tools using programming languages such as Java, Javascript or Python. Collaborate with development teams to develop test strategies and plans for new product features. Design, execute, and maintain automated test suites to ensure the quality of our products. Perform manual testing when necessary, and identify and report defects. Work with build management tools like Git, Jenkins, and other CI/CD tools to ensure smooth build and deployment processes. Collaborate with cross-functional teams to troubleshoot and resolve issues, and improve product quality. Monitor and analyze test results, and provide feedback to development teams to improve the efficiency and effectiveness of testing processes. You are a great fit for this role if you have Bachelor's degree in Computer Science or a related field. 5+ years of experience in software testing. Strong programming skills in Java or Python, and other scripting languages. Hands-on experience with building processes, CI processes, and managing QA environments. Experience working with build management tools like Git and Jenkins. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently as well as in a team environment. Bonus Points for Proficiency in UI Automation / Cypress. Proficiency in Cloud platforms (AWS, Azure, GCP) or Kubernetes are highly desirable. We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Show more Show less

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. As a Senior Software Engineer You’ll be responsible for building, scaling and maintaining the core features and capabilities of our Data Observability suite. You’ll work closely with the frontend and product teams to create a reliable and scalable platform. A day in the life of Senior Software Engineer Designing, building and improving the capabilities of some of the key features of the product. Investigating software-related complaints and making necessary adjustments to ensure optimal software performance. Diving deep into open-source data engines and work on optimising their performance. Designing, building and maintaining low-latency APIs Developing services that will be consumed by the frontend and solution engineers Regularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues. You are a great fit for this role if you have 4-8 years of experience in JVM (Java, Scala, Kotlin) Strong data structure, algorithm design, and problem-solving skills. Experience with database systems, RDBMS, Mongo, and Elastic Search. Experience in cloud technologies Knowledge of distributed systems, experience in enterprise software and SQL. Bonus Points for Experience in Spark / Kafka. Experience in Big Data Systems or Hadoop components. We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Show more Show less

We are looking for a Build and Release Engineer with hands-on experience in Maven-based Apache projects, CI/CD pipelines, Jenkins automation, Python scripting, and GitHub . The ideal candidate will manage build processes, automate release workflows, and ensure smooth software delivery. You are a great fit for this role if you have You will develop and maintain Python scripts to automate build, deployment, and monitoring tasks. Your focus will be on improving system reliability through automation and self-healing mechanisms. You will manage and enhance Maven-based build systems for Apache projects, automate release processes including branching, tagging, and versioning, and ensure that builds remain stable and reproducible across environments. Your role will involve designing, implementing, and optimizing CI/CD pipelines using Jenkins, streamlining deployment workflows, and troubleshooting build failures and pipeline issues. You will oversee source code repositories in GitHub, manage branching strategies, and collaborate with development teams on pull requests, code reviews, and maintaining repository hygiene. Collaboration with development and QA teams is essential to ensure smooth integration and deployment, along with maintaining clear documentation of build, release, and deployment processes. What We Look For 2-3 years of experience in Build & Release Engineering. Must have strong Java programming skills, along with proficiency in Python and Bash scripting for automation. Strong knowledge of Maven for build management. Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, etc.). Strong understanding of GitHub (branches, tags, merge strategies). Experience in release automation and deployment workflows. Good troubleshooting skills for build failures and CI/CD issues. Nice-to-Have Skills Experience with Docker & Kubernetes. Knowledge of Apache open-source projects. Familiarity with cloud platforms (AWS, GCP, or Azure). Show more Show less

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. As a Staff Product Designer You'll be core member of our product design team, you will collaborate with your colleagues to design components, systems, and tools that will unlock innovative experiences at Acceldata. Your work will directly contribute to our mission of making attractive, unified, consistent experiences that bring advanced data observability affordances to a larger number of potential users. Your focus will be on improving the user experience for search, file browsing, data discovery, and analysis. In this role, you will work closely with cross-functional teams, including product management, and engineering to create high-quality, well-designed software. You will contribute to the vision for the system, processes, and tools that empower our teams to build outstanding products. Your efforts will be instrumental in creating compelling and accessible experiences for our users. A day in the life of Staff Product Designer- Contribute to overall strategy and decision-making about product direction Help deliver and refine clear storytelling around product needs and opportunities Work cross-functionally with product management, engineering, and design peers Create, collaborate, and iterate on flows, prototypes, and high-fidelity visuals Collaborate with other designers to unify designs across products Develop and maintain detailed user-interface specifications and design pattern documentation Write documentation and guidance for design components, styles, and patterns You are great fit, if you have- 10+ years of B2B product design experience Diverse product design skillset that can delight a technical audience Experience in research to understand customer goals and validate design proposals Experience in tackling ambiguous problems and shaping them into clear goals Experience in crafting high quality well crafted visual design, and care about the details Experience in leading comfortable leading large projects Bachelor's degree or equivalent in HCI, interaction design, graphic design, computer science, or related disciplines We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Show more Show less

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. As a Software Engineer You’ll be responsible for building, scaling and maintaining the core features and capabilities of our Data Observability suite. You’ll work closely with the frontend and product teams to create a reliable and scalable platform. A day in the life of Software Engineer Designing, building and improving the capabilities of some of the key features of the product. Investigating software-related complaints and making necessary adjustments to ensure optimal software performance. Diving deep into open-source data engines and work on optimising their performance. Designing, building and maintaining low-latency APIs Developing services that will be consumed by the frontend and solution engineers Regularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues. You are a great fit for this role if you have 2-4 years of experience in JVM (Java, Scala, Kotlin) Strong data structure, algorithm design, and problem-solving skills. Experience with database systems, RDBMS, Mongo, and Elastic Search. Experience in cloud technologies Knowledge of distributed systems, experience in enterprise software and SQL. Bonus Points for Experience in Spark / Kafka. Experience in Big Data Systems or Hadoop components. We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Show more Show less

Position Summary We are seeking an Apache Hadoop - Subject Matter Expert (SME) who will be responsible for designing, optimizing, and scaling Spark-based data processing systems. This role involves hands-on experience in Spark architecture and core functionalities, focusing on building resilient, high-performance distributed data systems. You will collaborate with engineering teams to deliver high-throughput Spark applications and solve complex data challenges in real-time processing, big data analytics, and streaming. If you’re passionate about working in fast-paced, dynamic environments and want to be part of the cutting edge of data solutions, this role is for you. We’re Looking For Someone Who Can Design and optimize distributed Spark-based applications, ensuring low-latency, high-throughput performance for big data workloads. Troubleshooting: Provide expert-level troubleshooting for any data or performance issues related to Spark jobs and clusters. Data Processing Expertise: Work extensively with large-scale data pipelines using Spark's core components (Spark SQL, DataFrames, RDDs, Datasets, and structured streaming). Performance Tuning: Conduct deep-dive performance analysis, debugging, and optimization of Spark jobs to reduce processing time and resource consumption. Cluster Management: Collaborate with DevOps and infrastructure teams to manage Spark clusters on platforms like Hadoop/YARN, Kubernetes, or cloud platforms (AWS EMR, GCP Dataproc, etc.). Real-time Data: Design and implement real-time data processing solutions using Apache Spark Streaming or Structured Streaming. What Makes You The Right Fit For This Position Expert in Apache Spark: In-depth knowledge of Spark architecture, execution models, and the components (Spark Core, Spark SQL, Spark Streaming, etc.) Data Engineering Practices: Solid understanding of ETL pipelines, data partitioning, shuffling, and serialization techniques to optimize Spark jobs. Big Data Ecosystem: Knowledge of related big data technologies such as Hadoop, Hive, Kafka, HDFS, and YARN. Performance Tuning and Debugging: Demonstrated ability to tune Spark jobs, optimize query execution, and troubleshoot performance bottlenecks. Experience with Cloud Platforms: Hands-on experience in running Spark clusters on cloud platforms such as AWS, Azure, or GCP. Containerization & Orchestration: Experience with containerized Spark environments using Docker and Kubernetes is a plus. Good To Have Certification in Apache Spark or related big data technologies. Experience working with Acceldata's data observability platform or similar tools for monitoring Spark jobs. Demonstrated experience with scripting languages like Bash, PowerShell, and Python. Familiarity with concepts related to application, server, and network security management. Possession of certifications from leading Cloud providers (AWS, Azure, GCP), and expertise in Kubernetes would be significant advantages. Show more Show less

About Us Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products. Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company whose investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. About the Role: We are looking for an experienced Lead SDET for our ODP, specializing in ensuring the quality and performance of large-scale data systems. In this role, you will work closely with development and operations teams to design and execute comprehensive test strategies for Open Source Data Platform (ODP) , including Hadoop, Spark, Hive, Kafka, and other related technologies. You will focus on test automation, performance tuning, and identifying bottlenecks in distributed data systems. Your key responsibilities will include writing test plans, creating automated test scripts, and conducting functional, regression, and performance testing. You will be responsible for identifying and resolving defects, ensuring data integrity, and improving testing processes. Strong collaboration skills are essential as you will be interacting with cross-functional teams and driving quality initiatives. Your work will directly contribute to maintaining high-quality standards for big data solutions and enhancing their reliability at scale. You are a great fit for this role if you have Proven expertise in Quality Engineering, with a strong background in test automation, performance testing, and defect management across multiple data platforms. A proactive mindset to define and implement comprehensive test strategies that ensure the highest quality standards are met. Experience in working with both functional and non-functional testing, with a particular focus on automated test development. A collaborative team player with the ability to effectively work cross-functionally with development teams to resolve issues and deliver timely fixes. Strong communication skills with the ability to mentor junior engineers and share knowledge to improve testing practices across the team. A commitment to continuous improvement, with the ability to analyze testing processes and recommend enhancements to align with industry best practices. Ability to quickly learn new technologies What We Look For 6-10 years of hands-on experience in quality engineering and quality assurance, focusing on test automation, performance testing, and defect management across multiple data platforms Proficiency in programming languages such as Java, Python, or Scala for writing test scripts and automating test cases with hands-on experience in developing automated tests using other test automation frameworks, ensuring robust and scalable test suites. Proven ability to define and execute comprehensive test strategies, including writing test plans, test cases, and scripts for both functional and non-functional testing to ensure predictable delivery of high-quality products and solutions Experience with version control systems like Git and CI/CD tools such as Jenkins or GitLab CI to manage code changes and automate test execution within the development pipeline. Expertise in identifying, tracking, and resolving defects and issues, collaborating closely with developers and product teams to ensure timely fixes. Strong communication skills with the ability to work cross-functionally with development teams and mentor junior team members to improve testing practices and tools. Ability to analyze testing processes, recommend improvements and ensure the testing environment aligns with industry best practices, contributing to the overall quality of software. Acceldata is an equal-opportunity employer 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. 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! Show more Show less

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. As a Senior Visual Designer You'll play a crucial role in crafting beautiful, intuitive and effective visual solutions for our Agentic Data Management products. You'll work closely with cross-functional teams, including product managers, UX designers, and engineers, to ensure that our products not only look great but also provide a seamless user experience for data-driven professionals and organisations. A day in the life of a Senior Visual Designer: Designing Visual Elements: Create visually engaging design elements and assets for web, mobile, and enterprise applications. Focus on enhancing the user experience with design systems, icons, typography, and data visualizations. Data Visualization Design: Design compelling data visualizations that simplify complex data for users, ensuring clarity, accuracy, and intuitive usability. Work with data scientists and product teams to translate complex datasets into visual representations that help users make informed decisions. Collaborate Across Teams: Work closely with UX designers, product managers, and engineering teams to ensure visual designs align with functionality and business requirements. Participate in design and product review sessions to provide visual insights. Design Consistency: Develop and maintain a visual design system that ensures consistency across the product suite, adhering to branding guidelines and style guides while incorporating feedback from various teams. Prototyping and Mock-ups: Create high-fidelity mock-ups, prototypes, and design presentations that communicate design concepts effectively. Ensure that designs are aligned with user needs, business goals, and technical constraints. User-Centric Design: Balance the need for visually attractive design with the requirement for clear, effective communication, especially when dealing with complex datasets and user tasks. Create visuals that enhance usability and user engagement. Branding and Identity: Ensure that all visual designs reflect the company’s brand identity and values. Maintain a consistent brand presence across multiple platforms and touchpoints, including digital products, marketing materials, and customer-facing interfaces. Stay Current with Trends: Keep up-to-date with design trends, tools, and best practices. Identify emerging design technologies and techniques to continually improve the visual design process and outcomes. Quality Assurance: Work with developers and QA teams to ensure design integrity and pixel-perfect implementation across different devices, platforms, and browsers. You Are a Great Fit, If You Have 8+ years of experience as a Visual Designer, preferably in enterprise software, data product design, or similar industries. Bachelor’s degree in Graphic Design, Visual Design, Interaction Design, or a related field (or equivalent practical experience). Proficiency in visual design tools such as Adobe Creative Suite (Photoshop, Illustrator), Sketch, Figma, and/or other design tools. Strong understanding of typography, color theory, layout, and visual hierarchy. Experience with designing data visualizations (charts, graphs, dashboards) that represent complex information in an easy-to-understand manner. Familiarity with design systems and responsive design principles. Knowledge of HTML, CSS, and an understanding of how designs translate to front-end code is a plus. A strong portfolio showcasing previous visual design work, with examples of data visualizations, design systems, and enterprise applications. Soft Skills Strong communication skills with the ability to explain design decisions clearly. Detail-oriented with a focus on creating pixel-perfect, high-quality designs. Ability to collaborate effectively with cross-functional teams, including engineers, product managers, and other designers. Strong problem-solving skills and a creative approach to solving design challenges. Ability to adapt to a fast-paced work environment and manage multiple projects at once. We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Show more Show less