Skan

Job Summary We are seeking a skilled Data Engineer with 3 to 5 years of experience in building scalable data pipelines and solutions, with strong hands-on expertise in Databricks . The ideal candidate should be proficient in working with large-scale data processing frameworks and have a solid understanding of Delta Lake , PySpark , and cloud-based data platforms . Key Responsibilities: Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark/SQL) . Develop and optimize data workflows and pipelines on Delta Lake and Databricks Lakehouse architecture . Integrate data from multiple sources, ensuring data quality, reliability, and performance. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions. Monitor and troubleshoot production data pipelines; ensure performance and cost optimization. Work with DevOps teams for CI/CD integration and automation of Databricks jobs and notebooks. Maintain metadata, documentation, and versioning for data pipelines and assets. Required Skills: 3-4 years of experience in data engineering or big data development . Strong hands-on experience with Databricks (Notebook, Jobs, Workflows) . Proficiency in PySpark , Spark SQL , and Delta Lake . Experience working with Azure or AWS (preferably Azure Data Lake, Blob Storage, Synapse, etc.). Strong SQL skills for data manipulation and analysis. Familiarity with Git , CI/CD pipelines , and job orchestration tools (e.g., Airflow , Databricks Workflows ). Understanding of data modeling , data warehousing , and data governance best practices. Required Skills: 3-5 years of experience in data engineering or big data development . Strong hands-on experience with Databricks (Notebook, Jobs, Workflows) . Proficiency in PySpark , Spark SQL , and Delta Lake . Experience working with Azure or AWS (preferably Azure Data Lake, Blob Storage, Synapse, etc.). Strong SQL skills for data manipulation and analysis. Familiarity with Git , CI/CD pipelines , and job orchestration tools (e.g., Airflow , Databricks Workflows ). Understanding of data modeling , data warehousing , and data governance best practices.

We are seeking a dynamic Customer Success and Services Operations lead to drive customer satisfaction, retention, and growth while optimizing operational processes across our customer-facing teams. This role combines strategic customer relationship management with operational excellence to ensure seamless customer experiences and scalable business operations. Key Responsibilities Design and optimize customer success processes and workflows Establish and track key performance indicators (KPIs) for customer success metrics Help with the implementation/configuration of customer success technology stack (CRM, CS platforms, analytics tools) Create standardized processes for customer onboarding, support escalation, and renewal management Develop customer segmentation strategies and playbooks Manage resource allocation and capacity planning for customer success team Data Analysis and Reporting Locate, gather, and organize relevant data from various internal and external sources. Ensure the accuracy, completeness, and quality of data by implementing data validation techniques and audits. Create comprehensive reporting dashboards for leadership and stakeholders Develop and maintain dashboards, reports, and analytics to track key performance indicators (KPIs) for Customer Success. Analyze data to provide actionable insights and recommendations to support customer retention and satisfaction initiatives. Support ad-hoc reporting needs and provide analytical support for ongoing projects. Cross-functional Collaboration Partner with Customer Success Managers and other stakeholders to understand business needs and translate them into process improvements and reporting solutions. Work closely with IT, Product, and other teams to ensure seamless integration of data systems and tools. Process Documentation & Maintenance Develop, document, and maintain standardized processes for the Customer Success team. Continuously review and refine processes to ensure efficiency and alignment with company goals. Create and update process documentation, manuals, and guides to ensure consistency and clarity. Qualifications Education: Bachelors degree in business, Finance, Data Analytics, Information Systems, or related field. Experience: 7+ years of experience in a similar role, preferably within Customer Success, Professional Services, Operations, or Data Analytics. Experience with data management, reporting, and analysis tools (e.g., Excel, SQL, Tableau, Power BI). Experience in process documentation and improvement initiatives. Skills: Proficiency with CRM systems (Salesforce, HubSpot, etc.) Experience with customer success platforms (Gainsight, ChurnZero, Totango) Strong analytical skills with proficiency in Excel/Google Sheets and data visualization tools Excellent attention to detail and commitment to data accuracy. Proficiency in process documentation and workflow design. Effective communication and collaboration skills with cross-functional teams. Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.

We are looking for a passionate and experienced Senior Frontend Engineer to join our engineering team. You will be instrumental in shaping the user experience of our products, building scalable UI components, and driving front-end best practices across the organization. Our platform enables Agent-to-Agent communication and autonomous decision-making, moving beyond traditional LLM applications into structured, enterprise-grade action flows. This is your chance to build the future of agentic AI systems and shape how intelligent agents collaborate, reason, and execute in real-world enterprise processes Responsibilities Design and develop high-quality, scalable, and maintainable front-end features using modern JavaScript frameworks Collaborate with cross-functional teams including product, design, and backend engineers to deliver end-to-end solutions Write modular, testable, and clean code using component-based architecture Participate in code reviews and contribute to frontend architecture decisions Ensure high performance and responsiveness of UI across devices and platforms Implement unit tests and end-to-end testing to ensure code reliability Maintain and improve CI/CD workflows for frontend code Advocate and implement frontend security and privacy best practices Required Skills 4-8 years of professional frontend development experience Strong proficiency in HTML, CSS, and JavaScript (ES6+) Solid experience with React , Angular , or Svelte Working knowledge of TypeScript in a frontend environment Deep understanding of responsive and accessible design principles Experience integrating with RESTful APIs Proficient with Git and modern version control workflows (e.g., GitHub/GitLab) Familiarity with modern build tools such as Vite, npm, or pnpm Hands-on experience with end-to-end testing tools like Playwright or Puppeteer Comfortable with unit testing frameworks (e.g., Vitest , Jest, etc.) Understanding of CI/CD pipelines and frontend deployment processes Awareness of enterprise security and data privacy best practices

We are hiring a Full-Stack Engineer with a strong backend foundation to help us build scalable, secure, and intelligent systems. You ll be building at the core of AI innovation working with Large Language Models (LLMs) and cutting-edge agent development frameworks like LangGraph, CrewAI, and the Model Context Protocol (MCP). Our platform enables Agent-to-Agent communication and autonomous decision-making, moving beyond traditional LLM applications into structured, enterprise-grade action flows. This is your chance to build the future of agentic AI systems and shape how intelligent agents collaborate, reason, and execute in real-world enterprise processes. Key Responsibilities Develop scalable backend systems using Python (Django, FastAPI) Design and maintain secure RESTful APIs and backend services Model and manage data using relational databases and ORMs Build containerized services using Docker ; deploy and debug on Linux Integrate AI features using LLMs or external AI APIs Collaborate on frontend features using JavaScript/TypeScript and frameworks like Svelte , React , or Angular Implement unit and integration tests, CI/CD pipelines, and observability tools Ensure security, performance, and compliance across services Technical Skills: 3-6 years of experience. Python, Django, FastAPI REST API design and development SQL databases (PostgreSQL/MySQL) and ORMs (Django ORM, SQLAlchemy) Docker, Git, CI/CD pipelines JavaScript/TypeScript (basic proficiency); modern frontend frameworks Bonus Points For Asynchronous Python (e.g., asyncio, FastAPI async routes) Event-driven architecture (Kafka, RabbitMQ) Kubernetes, Helm, or IaC tools (Terraform, Ansible) Security/auth (OAuth2, OpenID), RBAC Monitoring/observability (Prometheus, Grafana, ELK) Experience with AI model serving, ETL pipelines, or compliance standards

We are seeking a skilled and motivated Lead Software Developer (Python) with 6-8 years of hands-on experience in designing, developing, and deploying Python-based microservices. The ideal candidate should have expertise working with cloud-native architectures using Docker and Kubernetes, and integrating services with Large Language Models (LLMs) via OpenAI APIs. You will lead the design, development, and deployment of scalable services while working in an agile/scrum environment. Essential Duties and Responsibilities: Lead the design and implementation of Python microservices hosted on Kubernetes or Docker environments. Develop and maintain python micro-services where communication between microservices uses RabbitMQ Design and optimize database schemas; implement data access layers using PostgreSQL and MongoDB. Integrate LLM capabilities via OpenAI or similar APIs into microservices. Write unit, integration, and system tests; ensure code quality and maintainability. Track work progress and maintain up-to-date tasks on Azure Boards (or similar work item tracking systems). Manage source code repositories, branching strategies, pull requests, and reviews using Git-based tools (Azure Repos, GitHub, or similar). Build, configure, and maintain CI/CD pipelines using Azure Pipelines for automated testing and deployments. Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives) and collaborate effectively with cross-functional teams. Mentor and guide junior developers on coding standards, best practices, and architecture decisions. Required experience: Programming Skills: Strong expertise in Python (3.x), with knowledge of best practices for building scalable services. Application of proven programming principles and patterns Prompt engineering skill to generate code using Cursor, Co-Pilot or similar tools. Design Skills: Strong expertise in OOP with Python. Strong expertise in code design /modelling skills using UML or similar tools Frameworks/Libraries: Experience with popular Python frameworks - SQL Alchemy, Alembic Experience with building custom python packages. Containerization & Orchestration: Hands-on experience with Docker, Kubernetes (AKS or self-hosted). Messaging Systems: Proven experience using RabbitMQ for asynchronous service communication. Databases: Relational: PostgreSQL (schema design, performance tuning). NoSQL: MongoDB (data modelling, CRUD operations). APIs & LLMs: Integration of microservices with LLMs or OpenAI APIs; handling authentication, request/response flows, and prompt engineering basics In-depth Knowledge and Experience in the following areas: High level understanding of following tech stack Source control with Git (Azure Repos, GitHub). Building and deploying using Azure Pipelines or similar CI/CD tools. Familiarity with container registries (ACR, Docker Hub). Work item tracking and task management using Azure Boards (or Jira). Experience working in Agile/Scrum methodologies, including sprint ceremonies, story point estimation, and continuous delivery. Additional skills: Excellent problem-solving and troubleshooting / debugging skills. Strong understanding of RESTful API design principles. Familiarity with observability tools (logging, metrics, tracing) is a plus. Excellent verbal and written communication skills. Ability to lead technical discussions and present solutions effectively.

What You ll Do Develop and maintain backend APIs and services using FastAPI and Flask-RESTX . Design microservices-based solutions that are scalable, modular, and maintainable. Work with PostgreSQL and MongoDB to build robust data models and efficient queries. Implement messaging and task workflows using RabbitMQ . Integrate secure authentication and authorization flows using Auth0 . Monitor and debug production systems using Elasticsearch and APM tools. Write clean, testable code and participate in design/code reviews. Collaborate with cross-functional teams across engineering, DevOps, and product. Must-Have Skills Strong hands-on experience in Python backend development. Practical experience with FastAPI , Flask , or Flask-RESTX . Solid understanding and real-world experience with microservices architecture . Proficiency in either MongoDB or PostgreSQL (ideally both). Experience with RabbitMQ for async messaging and job queues. Familiarity with API security and integration using Auth0 or similar. Understanding of observability practices using Elasticsearch and APM . Strong debugging, performance tuning, and optimization skills. Nice to Have Experience with SQLAlchemy and Alembic for ORM and migrations. Exposure to PostgREST or GraphQL APIs. Knowledge of containerized development with Docker . Familiarity with CI/CD workflows and Git-based version control. Prior experience in event-driven, large-scale data processing systems.

We are seeking an experienced QA Architect with a proven track record of excellence in quality assurance leadership and strategic testing initiatives. The ideal candidate will have a minimum of 12 years of hands-on experience in software testing with strong expertise in test automation, architecture design, and team management. This role primarily focuses on strategic QA architecture with team leadership responsibilities. You will play a critical role in defining and implementing quality strategies, driving automation initiatives, and leading cross-functional teams to deliver high-quality software products to our customers. Responsibilities: QA Strategy & Architecture: Strategic Planning: Develop and implement comprehensive QA strategies, test methodologies, and quality standards aligned with business objectives and product roadmaps. Enterprise Test Architecture: Design and architect scalable, maintainable test automation frameworks and testing infrastructure across multiple product lines, platforms, and distributed systems. Technology Leadership & Innovation: Evaluate, select, and implement advanced QA tools, technologies, and methodologies including AI/ML testing and emerging technology validation frameworks. Quality Governance & Compliance: Establish quality governance frameworks, compliance standards (SOC2, ISO 27001, GDPR), and regulatory testing requirements across the organization. Automation Strategy: Lead the design and implementation of enterprise-level automated test solutions, including UI, API, performance, security, and end-to-end testing frameworks with CI/CD integration. Process Optimization: Establish and continuously improve QA processes, standards, and best practices across the organization, ensuring alignment with agile methodologies and DevOps practices. Regression Test Suite Strategy: Design and implement comprehensive regression testing strategies, including test suite optimization, test selection algorithms, and automated regression frameworks to ensure product stability across releases. Quality Analytics & Intelligence: Implement data-driven quality metrics, testing analytics, and quality intelligence dashboards to provide actionable insights for continuous improvement. Risk Management & Assessment: Conduct comprehensive quality risk analysis, develop mitigation strategies for complex software products, and establish quality gates for release management. Tool Ecosystem Management: Strategic evaluation, selection, and management of testing tools, third-party services, and costs. Cross-functional Collaboration: Work closely with engineering, product, DevOps, and customer success teams to integrate quality practices throughout the product development lifecycle. Team Leadership & Management: Team Leadership: Lead, mentor, and develop QA engineers, test automation engineers, and SDET professionals, fostering a culture of quality excellence. Resource Planning: Manage QA team capacity, skill development initiatives, hiring strategies, and career progression plans. Performance Management: Conduct performance reviews, set strategic goals, and provide technical and career guidance to team members. Stakeholder Communication: Present QA metrics, testing progress, quality insights, and strategic recommendations to senior leadership and executive teams. Budget Management: Oversee QA tools licensing, infrastructure costs and training budgets. Qualification: Experience Requirements: Bachelors or Masters degree in Computer Science, Engineering, or related field. Minimum of 12 years of progressive experience in software testing with strong focus on product companies. Minimum of 8+ years in senior QA roles with architecture and strategic planning responsibilities. Minimum of 4+ years of people management experience leading QA teams. Proven track record of scaling QA processes and teams in fast-growing software product organizations. Technical Expertise: Strong hands-on experience with test automation frameworks and tools such as Selenium, Cypress, Playwright, Appium, TestNG, Pytest, etc. Advanced proficiency in scripting and programming languages (Java, Python, JavaScript) for automation and framework development. Extensive experience with API testing tools and frameworks (Postman, REST Assured, SoapUI, etc.). Hands-on experience with performance testing tools (e.g. JMeter) and performance engineering practices. Strong experience with CI/CD integration and DevOps practices using tools like Jenkins, GitLab CI, Azure DevOps, GitHub Actions. Experience with cloud platforms (Azure) and containerization technologies (Docker, Kubernetes) for testing environments. Knowledge of database testing, SQL proficiency, and data validation techniques. Experience with AI Model testing, including model validation, data quality testing, bias detection, and performance evaluation of machine learning models. Knowledge of AI pipeline testing, MLOps practices, and testing frameworks for AI/ML workflows and model deployment pipelines. Experience with RPA (Robotic Process Automation) testing and automation tools would be an advantage. Product testing experience across various domains (AI / ML, Desktop, Web Applications, enterprise software) would be an advantage. Process & Methodology: Deep understanding of product development life cycle (PDLC) and agile methodologies (Scrum, Kanban, SAFe). Experience with test-driven development (TDD), behavior-driven development (BDD), and shift-left testing practices. Strong knowledge of quality metrics, test planning, risk-based testing, and quality assurance best practices. Experience with compliance and regulatory testing requirements is a plus. Leadership & Soft Skills: Excellent analytical and problem-solving skills with attention to detail and strategic thinking capabilities. Strong communication and interpersonal skills with ability to work collaboratively across cross-functional teams. Proven ability to influence and drive change in complex organizational environments. Experience in mentoring, coaching, and developing technical talent. Certifications in quality architecture and leadership such as ISTQB Test Manager, Certified Manager of Software Quality (CMSQ), or equivalent architecture/leadership certifications are highly preferred.

Lead Program Management across all phases of engagement from onboarding, implementation, training, and ongoing support Learn and implement Skan customer success model including customer value management methodologies Lead clients through value discovery, value enablement, value delivery and validation phases of implementation Own Skan ROI and business outcome and report on key metrics like NPS, CSAT, Gartner peer and ROI Manage all aspects of project delivery planning, reporting, coordination and risk management including governance Develop deep expertise in Skan product technology, implementation and configuration Understand customer organization, business processes, pain areas, business goals, and collaborate with internal Skan teams to develop Skan solutions and present them to achieve Skan product adoption growth Build relationships across business owners, technology leaders and vendor management Monitor and achieve goals around Skan adoption, license usage, business outcomes delivery, renewals and revenue expansion Build and share customer case studies , project learnings and radiate within other teams Gather Intelligence on customer initiatives, priorities, and Leadership directions Manage license renewals in partnership with Sales Provide Executive briefings and status updates Report and track all metrics in the customer success management tool Manage Program governance activities like monthly and quarterly business reviews with executive stakeholders Organize customer onboarding, change management and training/certification Collaborate with Skan marketing, product management and executive teams to organize knowledge sharing, best practices and discovery workshops What You ll Bring Need to have Bachelor s Degree in technology or management 8+ years of professional experience preferably in customer success management, relationship management, delivery management, consulting or enterprise delivery Must have experience in business process design or intelligent automation or related areas Industry knowledge and experience in delivering Digital Transformation Initiatives and Project Management Leadership skills and an ability to coordinate and collaborate with Field Engineering and Solution Engineering teams 4+ years experience in the banking and financial services, Insurance or healthcare verticals managing client relationships and delivery Nice to have Strong interpersonal skills Strong organization and presentation skills A propensity for relationship building Professional experience in Financial Services and/or Insurance

For this position, we are looking for candidates located in Bangalore, India. Were looking for an all-star Business Development colleague, who will be responsible for developing and executing the go-to-market strategy for Skan s platform offering built on individualized business cases by customers within verticals. You will have the opportunity to identify and establish relationships with key corporate C-level representatives and business unit managers through prospecting, marketing leads and expansion of existing contacts within accounts. What you will do at Skan: Build and nurture a strong sales pipeline and forecast through discovery calls and meetings Hunt down and discover new opportunities, including attending key conference and events, building Skan s presence with the right audience and building the pipeline Drive and manage the E2E sales process, from sourcing, discovery, product demonstration through approval and contracting Build trusted relationships with customers through understanding their problems, challenges and objectives Work with senior stakeholders at Customers to create the right solution and business case to drive adoption and investment decisions Build industry knowledge and context on use cases, collaborating with cross-functional stakeholders; on expansion opportunities, work closely with the team to lead the right conversation at customers Accurately manage and update all information in Skan s CRM system, maintaining an accurate forecast of all opportunities Build awareness for Skan Partner Ecosystem, as needed What you will bring to Skan: 10+ years of experience, with at least 3 years in a business development capacity and 5 years in consulting at a top tier firm Deep domain expertise in financial services, insurance or healthcare, with an understanding of the industry problem space and solutions Managed and sold SaaS products, preferably around process mining, process discovery, and robotic process automation Excellent executive presence and presentation skills, with an ability to work with senior enterprise leaders and an intimate understanding of the value creation sale Can demonstrate results from own pipeline generation; a natural "hunter" Demonstrated ability to manage both direct and indirect opportunities from net new prospects and current customers Experienced in a new business Sales role ideally within a similar start up and high growth organization Nice to have Strong analytical and writing abilities Must have experience in selling enterprise software products to business and operations leaders in the areas related to business process management, automation, AI and analytics A high level of intensity to work with an experienced, motivated leadership team focused on creating a significantly sized company in a short timeframe Excellent thought leadership traits with the ability to successfully drive fundamental changes to business processes Entrepreneurial spirit/attitude, flexibility toward dynamic change

We are a fast-growing organization at the forefront of AI-driven enterprise innovation , seeking a visionary Program Manager to spearhead the delivery of our next-generation PaaS platform for premier Banking, Financial Services, and Insurance (BFSI) clients. In this pivotal role, you will serve as the strategic bridge between our company and our clients , ensuring that every engagement not only meets its objectives but also creates lasting business impact. You will lead cross-functional teams, work closely with our product engineering and solutions groups , and drive seamless client implementations that unlock measurable value. This is far more than a delivery role it is an opportunity to shape client success, act as a trusted advisor, and lead programs that redefine how financial institutions harness technology. What Youll Do Lead Program Delivery: Take full ownership of large-scale PaaS implementation programs for BFSI clients, from initial planning to successful launch and operational handover. Be the Clients Champion: Act as the primary point of contact for client leadership, ensuring transparent, proactive communication and building strong, lasting relationships. Ensure Compliance & Quality: Guarantee all aspects of the program adhere to strict BFSI regulatory, security, and data protection standards. Coordinate Cross-Functional Excellence: Guide and align our internal teams including Product, Engineering, Customer Success, and Operations to deliver a seamless and integrated client experience. Manage Performance & Risk: Proactively monitor program health, track key metrics, manage budgets, and resolve issues to keep projects on track. Drive Change: Effectively manage and communicate scope changes, assessing impact and securing approvals to maintain program integrity. Innovate & Improve: Continuously refine our delivery processes, tools, and methodologies to enhance efficiency and client satisfaction. Why Join Us Flexible work environment: We offer a flexible work environment. Growth & Impact: Be part of a rapidly scaling company where your contributions directly shape client success and open clear pathways for career advancement. Innovative AI Platform: Work with cutting-edge AI and GenAI solutions that transform enterprise workflows while upholding the highest standards of security and trust. Collaborative Culture: Join a global team that values innovation, learning, and partnership, guided by experienced leaders in AI and enterprise transformation. What Were Looking For Experience: 7 - 10 years of experience in program or project management, with a minimum of 3 years focused on delivering technology solutions to BFSI clients. Domain Knowledge: A deep understanding of SaaS/PaaS delivery models, enterprise systems integration, and the regulatory frameworks governing the BFSI sector. Education: Bachelor s degree in a relevant field (e.g., Computer Science, Engineering, Business). A Masters degree (MBA or M.S.) or relevant professional certification (PMP, PgMP, PRINCE2) is a plus. Skills: Exceptional communication, negotiation, and leadership abilities. A natural problem-solver with a strategic mindset and a keen eye for detail.