Experience Requirements:

• Excellent communication skills.

• Team-first attitude and uncompromising attention to detail.

• Ability to work in rotational shifts. This role requires only night shifts, with 5 days working. and 2 days off on a rotational basis.

Responsibilities:

• Provide first-level technical support and consultation for issues, requests, and questions reported by Customers and Customer Account Strategy teams for deployed solutions. Be the first responders and own it!

• Respond and Resolve basic products, solutions, and analytics issues within defined SLAs.

• Monitoring and Reporting of customers’ scheduled campaign/transaction activities – Utilize monitoring tools to detect and report P1 issues/outages during scheduled customer campaigns or transactions, upon request from customer account strategy teams.

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Experience Requirements:

• 10+ years of experience in product management, with a strong background in analytics, data platforms, or enterprise SaaS.

• Experience leading customer-facing analytics products for enterprise customers, with a focus on data visualization, reporting, and AI-driven insights.

Responsibilities:

• Define the product vision, strategy, and roadmap for analytics solutions, ensuring alignment with business objectives.

• Identify market opportunities, customer pain points, and emerging trends in enterprise analytics to shape Ushur’s analytics capabilities.

• Develop and execute a roadmap that balances innovation with scalability, ensuring analytics solutions drive value for enterprise customers.

• Own the customer-facing analytics experience, ensuring insights are actionable, intuitive, and embedded in our platform.

• Work closely with the Director of Engineering - Analytics to translate product requirements into technical architectures, solutions, and implementation plans.

Experience Requirements:

• 5+ years of experience of SRE/CloudOps Manager/Lead role in Enterprise SaaS

• Track record of developing and mentoring great talent, building and motivating high-achieving teams. Ability to lead diverse teams across multiple time zones.

• Business Acumen - Ability to quickly grasp and adapt to a variety of customer verticals, geographies, and business structures.

Responsibilities:

• Build and Manage a world-class SRE team. Design a 24x7 follow-the-sun organization including seamless handover across regions. Mentor and grow team focused on delivering white glove support and incident management service.

• Drive data-driven SRE strategy by defining and prioritizing SRE Objectives and Key Results (OKRs) aligned with company mission. This includes setting measurable targets for key service level agreements

• Manager Enterprise Support function to deliver exceptional white glove experiences at scale in close partnership with our Customer Success, Solution Consulting and Engineering teams.

Experience Requirements:

• Minimum of 4 years of IT or related experience with 3 years in solution engineering and/or DevOps with a mid-to-large SaaS enterprise solutions company or similar experience.

• Deep knowledge of Linux systems

• Experience with DevOps automation, CI/CD pipeline and agile methodologies

Responsibilities:

• Collaborating with customer success managers and solutions engineers to bring deep technical expertise in implementing intelligent automation solutions for customers.

• Providing customers and solution engineers with ongoing technical support for complex issues and support escalations.

• Optimizing and automating support processes including improving reliability of on-call processes, managing incidents, updating runbooks and documentation, reviewing RCAs and recommending solutions to prevent the recurrence and severity of incidents.

Benefits:

• Competitive salary

• equity

• benefits

• Professional development opportunities

Experience Requirements:

• 5-8 years of total experience, with most of that in product design

• Strong portfolio demonstrating experience with developer tools or technical products

• Deep understanding of developer workflows, tools, and pain points

• Experience creating and maintaining design systems at scale

• Proven track record of shipping complex technical products

Responsibilities:

• Lead the end-to-end design process from research to implementation for our AI code platform

• Build and maintain a comprehensive design system that works across multiple platforms (Web, IDE extensions, Git platforms)

• Mentor junior designers and establish design best practices and processes

• Partner with engineering and product teams to define and improve the developer experience

• Create information architecture for complex technical data and AI-generated insights

Experience Requirements:

• 3+ years

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 3+ years of experience working directly with customers on technical engagements.

• 3+ years of experience with major cloud providers like AWS, GCP or Azure.

• 3+ years of deep experience with Apache Spark and knowledge on Spark’s runtime internals, query tuning, performance tuning, troubleshooting and debugging Spark solutions.

• Hand-on technical experience building, operating, and troubleshooting data engineering pipelines.

Responsibilities:

• Troubleshoot, resolve and suggest deep code-level analysis of Apache Hudi with Spark and Flink to address complex issues raised by OpenSource user/Onehouse customer

• Provide best practices guidance around Apache Hudi runtime performance and usage of Apache Hudi core libraries and APIs for custom-built solutions

• Help the Engineering/Product Team with detailed troubleshooting guides and runbook

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 12+ years of experience as a backend engineer with experience developing and operating microservices in a distributed environment.

• Experience leading a team of senior engineers

• Experience with Kubernetes, gRPC and Java.

• Experience deploying applications on one or more global cloud platforms (AWS/GCP/Azure).

• Operational excellence in monitoring/deploying/testing microservice architectures.

Responsibilities:

• As a backend engineer at Onehouse, you will get to build highly scalable and extremely reliable platform services, solving deep technical challenges across all of these areas. These distributed systems will be critical to supporting our multi region cloud microservices at scale.

Education Requirements:

• B.Sc. or M.Sc. in Computer Science or a related engineering field from a recognized institution.

Experience Requirements:

• 5+ years of experience delivering impactful and complex software projects.

• Advanced expertise in JavaScript.

Responsibilities:

• Lead architectural decisions and define the technical vision for our SDKs.

• Own the end-to-end product lifecycle of complex JavaScript libraries that interface with test frameworks, user applications, and server APIs.

• Design APIs and protocols with a focus on asynchronous flows and performance optimization.

• Research and integrate with popular test automation frameworks (e.g., Playwright, Cypress, Puppeteer, WebDriver.io, Selenium, TestCafe, Mocha, Jest).

• Innovate with browser and DOM hacking using Chrome DevTools Protocol (CDP) and WebDriver.

Education Requirements:

• BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation

Experience Requirements:

• 2+ years’ experience in the field.

Responsibilities:

• Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions

• Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems

• PLC programming for embedded logic programming

Education Requirements:

• ITE/Diploma level qualification in Robotics/ Computing/ electrical/mechanical or any other related subject

Experience Requirements:

• 1+ years proven professional hands-on experience.

Responsibilities:

• Support team lead with integration, calibration, and verification test

• Perform continues tests / data collection as per test plans.

• Monitor system behavior during tests and recording observations and issues.

• Perform trouble shooting and root cause analysis for observation

Education Requirements:

• Relevant certifications, Degree or Diploma in Operations Management or Office administration or related fields

Experience Requirements:

• 2-3 years’ experience in procurement, office administration, operation coordination or a similar role or experience

Responsibilities:

• Plan and organise internal meetings, conferences and client visits including securing meeting rooms, arranging catering and ensuring all equipment’s is ready and operational

• Responsible for day to day operations of office activities such as handling of office supplies, managing mail and deliveries and supporting colleagues with general administrative tasks

• Manage the asset and equipment tracking, organisation and replenishment of supplies, ensuring accurate inventory tracker for effective asset governing

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Education Requirements:

• A Bachelor’s degree (or higher)

• Strong curiosity about how people think, express themselves, and how to distill, clarify, and label that information for AI and machine learning [applications](http://applications.Excellent).

Other Requirements:

• Excellent Communication Skills: Strong ability to communicate complex technical information clearly and concisely, both written and verbal.

• Technical Document Comprehension: Ability to read and understand technical documents, and annotate them with precision.

• Graph & Flowchart Creation: Hands-on experience in creating graphs, charts, and flowcharts to visualize technical data.

• Attention to Detail: A keen eye for ensuring accuracy in data annotation and visualization.

• Technical Aptitude: Comfortable working with technical information and turning it into easily understandable visuals.

• Flexible Working Hours: Availability to work flexible hours, primarily in the PST time zone.

• Immediate Availability: Must be able to start immediately and commit to the full 6-month contract.

Responsibilities:

• Document Review & Annotation: Thoroughly analyze technical documents, and accurately annotate key information and data points.

• Graph & Flowchart Creation: Translate complex technical specifications into clear and concise graphs and flowcharts, ensuring accuracy and clarity.

• Data Visualization: Develop graphs, charts, and other visual data representations to support documentation and aid in understanding.

• Collaboration: Work closely with technical teams to ensure correct representation of data and processes.

• Quality Control: Ensure all annotations and visual elements meet accuracy standards and align with the original documentation.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, GPT).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Hands on experience in deployment

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 4+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.

• Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.

• Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.

• Experience with real-time streaming systems such as Kafka and Flink.

• Experience in working with large datasets and high-throughput data environments.

Other Requirements:

• Familiarity with cloud platforms like Azure, GCP, or AWS.

• Strong problem-solving skills and ability to work in fast-paced environments.

• Excellent communication and collaboration skills.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex concepts effectively to non-technical stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.