Benefits:

• Hands-on exposure to cutting-edge AI test automation

• Ownership and room to innovate in a collaborative, high-impact environment

• Competitive pay

• flexible policies

• fun team

Education Requirements:

• Bachelor’s in Computer Science, Engineering or related field

Experience Requirements:

• 3–4 years’ hands-on automation experience

Other Requirements:

• Strong with Playwright (preferred) or Selenium/Cypress and one scripting language (JS/TS, Python or Java)

• Familiarity with AI-based testing platforms

• Solid API testing & SQL skills; sound grasp of STLC and defect management

• Clear communicator with sharp analytical instincts

• Nice to have: BDD (Cucumber/SpecFlow), performance testing (JMeter/LoadRunner), TestRail/Zephyr, ML model validation

Responsibilities:

• Build & maintain automation with Playwright, Selenium, Cypress or equivalent

• Super-charge coverage using AI-powered tools

• Create, run and optimize manual, API (Postman/Rest Assured) and database (SQL) tests

• Triage results, file defects in Jira, and drive them to closure

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognitions: Recognition and rewards programs in place to celebrate your achievements and contributions.

Education Requirements:

• Bachelor’s/Master’s in Computer Science or related field.

Experience Requirements:

• 2+ Years

• Hands-on experience with time series forecasting and clustering.

Other Requirements:

• Proficient in Python, R, and relevant ML tools

Responsibilities:

• Time Series Forecasting: Build models to predict trends from time series data.

• Clustering: Develop algorithms to group and analyze data segments.

• Data Insights: Analyze data to enhance model performance.

• Team Collaboration: Work with teams to integrate models into products.

• Stay Updated: Apply the latest AI techniques to improve solutions.

Experience Requirements:

• 10+ Years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions.

• Minimum 2–3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment.

• Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc.

• Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval.

• Deep knowledge of Machine Learning and Deep Learning algorithms: CNNs, RNNs, LSTMs, Transformers, etc.

Other Requirements:

• Excellent communication, leadership, and stakeholder management skills.

• Certification in AWS/GCP or ML specializations.

• Experience in leading large-scale AI transformation programs.

Responsibilities:

• Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions.

• Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture.

• Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch.

• Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance.

• Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines.

Education Requirements:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.

Experience Requirements:

• minimum 4 years of relevant experience

Other Requirements:

• Proficient in Python with hands-on experience building ETL pipelines for data extraction, transformation, and validation.

• Strong SQL skills for working with structured data.

• Familiar with Grafana or Kibana for data visualization and monitoring/dashboards.

• Experience with databases such as MongoDB, Elasticsearch, and MySQL.

• Comfortable working in Linux environments using common Unix tools.

• Hands-on experience with Git, Docker and virtual machines.

Education Requirements:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.

Experience Requirements:

• aleast 4 years of hands-on experience in designing and developing scalable data solutions using the Snowflake Data Cloud platform

• 1+ years of experience with Alteryx Designer, including advanced workflow development and debugging.

• Strong proficiency in SQL, with 3+ years specifically working with Snowflake or other cloud data warehouses.

• Python programming experience focused on data engineering.

• Experience with data APIs, batch/stream processing.

Other Requirements:

• Solid understanding of data transformation logic like joins, unions, filters, formulas, aggregations, pivots, and transpositions.

• Experience in performance tuning and optimization of SQL queries in Snowflake.

• Familiarity with Snowflake features like CTEs, Window Functions, Tasks, Streams, Stages, and External Tables.

• Exposure to migration or modernization projects from ETL tools (like Alteryx/Informatica) to SQL-based cloud platforms.

• Strong documentation skills and attention to detail.

• Experience working in Agile/Scrum development environments.

• Good communication and collaboration skills.

Responsibilities:

• Analyze and interpret complex Alteryx workflows to identify data sources, transformations, joins, filters, aggregations, and output steps.

• Document the logical flow of each Alteryx workflow, including inputs, business logic, and outputs.

• Translate Alteryx logic into equivalent SQL scripts optimized for Snowflake, ensuring accuracy and performance.

• Write advanced SQL queries, stored procedures, and use Snowflake-specific features like Streams, Tasks, Cloning, Time Travel, and Zero-Copy Cloning.

• Implement data ingestion strategies using Snowpipe, stages, and external tables.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 4+ years of experience in data architecture, data engineering, or a related field.

• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.

• Must be strong in SQL

• Proven track record of contributing to data projects and working in complex environments.

Other Requirements:

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 6+ years of experience in data architecture, data engineering, or a related field.

• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.

• Must have exposure working in Airflow

• Proven track record of contributing to data projects and working in complex environments.

Other Requirements:

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Education Requirements:

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field.

Experience Requirements:

• Strong experience in Snowflake, including designing, implementing, and optimizing Snowflake-based solutions.

• Hands-on expertise in PLSQL, including writing and optimizing complex queries, stored procedures, and functions.

• Proven ability to work with large datasets, data warehousing concepts, and cloud-based data management.

• Proficiency in SQL, data modeling, and database performance tuning.

• Experience with ETL/ELT processes and integrating data from multiple sources.

Other Requirements:

• Familiarity with cloud platforms such as AWS, Azure, or GCP is an added advantage.

• Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced) are a plus.

• Strong analytical skills, problem-solving abilities, and attention to detail.

• Excellent communication skills and ability to work effectively in a collaborative environment.

Responsibilities:

• Design, develop, and maintain data pipelines in Snowflake to support business analytics and reporting.

• Write optimized PLSQL queries, stored procedures, and scripts for efficient data processing and transformation.

• Integrate and manage data from various structured and unstructured sources into the Snowflake data platform.

• Optimize Snowflake performance by tuning queries, managing workloads, and implementing best practices.

• Collaborate with data architects, analysts, and business teams to develop scalable and high-performing data solutions.

Education Requirements:

• Bachelor ’s Degree

Experience Requirements:

• 6+ years of professional experience preferably in a customer-facing role

• 2+ year’s experience in the banking and financial segment

Other Requirements:

• Consulting experience working in technologies such as automation, process and task mining, business process management, workforce intelligence, desktop process analytics

• Leadership skills and an ability to coordinate and collaborate with engineering and product teams

• Strong project management skills

• Strong interpersonal skills

• Strong organization and presentation skills

• A propensity for relationship-building

• Professional experience in Financial Services and/or Insurance

• Knowledge and certification of Six Sigma principles

Responsibilities:

• Become a trusted value delivery partner for assigned clients – Customer Value management and delivery, project reporting, governance ​and consulting

• Program Management (In partnership with solutions delivery leads): All phases of engagement from onboarding, implementation, training), and ongoing support to help our customers recognize value across the journey​.

• Report and track all CS metrics in the tool and keep information upto date

• Demonstrate Deep expertise in Skan product and industry and provide consulting and best practices throughout the lifecycle ​

• Understand customer landscape, problem space, value based metrics and align with Skan capabilities​

Education Requirements:

• Bachelor's degree in engineering, Computer Science, or a related technical field

Experience Requirements:

• 5-6 years of working experience in IT Consulting, Management Consulting, Process Improvement, or a similar area

Other Requirements:

• Proven ability to perform data interpretation, result analysis, and application of statistical techniques

• Hands-on experience with IT systems, software applications, Windows, and Linux platforms

• Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences

• Strong problem-solving and analytical skills, with a passion for tackling operational technical challenges

• Familiarity with HTML, CSS, APIs, security protocols, and communication protocols is highly desirable

Responsibilities:

• Collaborate closely with customers' technical teams to assess requirements, map processes, and execute comprehensive deployment plans for Skan's product offerings.

• Lead the end-to-end planning, configuration, and operationalization of Skan solutions, ensuring alignment with customer needs and seamless integration into their existing infrastructure.

• Serve as the primary point of contact for customers, providing technical guidance, support, and timely resolution to product-related issues and queries.

• Coordinate with internal cross-functional teams to ensure adherence to ambitious deployment schedules and successful project execution.

• Develop and maintain detailed implementation plans and provide regular updates.

Experience Requirements:

• 7+ years of experience in backend engineering, with at least 5 years of experience in building distributed systems.

Responsibilities:

• Architect and Develop Distributed Systems

• Database Architecture & Optimization

• Performance & Reliability

• Leadership & Mentorship

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.

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.

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:

• 1+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Benefits:

• Hands-on experience in various HR functions and processes.

• Certificate of completion upon successful internship completion.

• Stipend, Snacks & Beverages, Informal Dresscode,Hybrid- Work Model

Education Requirements:

• Currently pursuing or recently completed a degree in Human Resources, Business Administration, Psychology, or a related field.

Responsibilities:

• Assist in posting job openings on various job boards, screening resumes, scheduling interviews, and coordinating with candidates.

• Help in preparing onboarding materials for new hires and assist in organizing orientation sessions.

• Maintain and update employee records, ensuring they are accurate and compliant with company policies.

Experience Requirements:

• 1-3 years of business development experience in SaaS for Retail/D2C companies.

• Must have experience working with international markets such as North American and European markets.

Responsibilities:

• Generate qualified opportunities for the company by rigorously prospecting and researching in the assigned region/market using modern tools

• Do rigorous research on companies to assess opportunities

• Strike and initiate conversations, set up meetings & demos with relevant personas of companies you are prospecting.

Education Requirements:

• Bachelor's degree in Marketing, Business, or related field.

Experience Requirements:

• 1 - 3 years of experience in demand generation, digital marketing, or a related role.

• Proven track record of executing successful marketing campaigns with measurable results.

• Experience with marketing automation tools and CRM systems (e.g., Salesforce, HubSpot, Pardot).

Responsibilities:

• Develop and execute multi-channel demand generation campaigns (email marketing, content marketing, social media, paid advertising, etc.).

• Collaborate with content, product marketing, and sales teams to create targeted marketing strategies.

• Manage and optimize campaigns for lead acquisition, nurturing, and conversion across various platforms (LinkedIn, Google Ads, Facebook, etc.).

• Monitor and analyze campaign performance metrics, providing actionable insights for improvement.

• Leverage marketing automation tools (HubSpot, Marketo, Pardot, etc.) to nurture leads and manage the customer lifecycle.