Experience Level: 6 – 10 years ​

Job Overview: We are seeking an experienced Django Backend Developer to join our team. The ideal candidate will have a strong background in backend development, cloud technologies, and big data processing.

Responsibilities:

• Development of backend micro services using Django.

• Design and implement scalable and secure APIs.

• Integrate Azure Cloud services for application deployment and management.

• Utilize Azure Databricks for big data processing and analytics.

• Collaborate with front-end developers, product managers, and other stakeholders to deliver comprehensive solutions.

• Conduct code reviews and ensure adherence to best practices.

• Optimize database performance and manage data storage solutions.

• Ensure high performance and security standards for applications.

Qualifications:

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

• 6+ years of experience in backend development.

• 6+ years of experience with Django.

• Proven experience with Azure Cloud services.

• Experience with Azure Databricks and

• Strong understanding of RESTful APIs and web services.

• Excellent communication and problem-solving skills.

• Familiarity with Agile methodologies.

• Experience with database management (SQL and NoSQL).

Skills: Django, Python, Azure Cloud, Azure Databricks, Delta Lake and Delta tables, SQL/NoSQL databases, RESTful APIs, Git, and Agile methodologies

Good to Have: PySpark

JD: Business Analyst / Project Manager

Job Summary

SMBC Risk Technology group is seeking a skilled and detail-oriented BA / PM to join the team. The ideal candidate will be responsible for Business Analysis, Agile Project Management, and mentoring teams with adoption of Agile framework and industry best practices. This role involves working closely with development teams, and end-users to ensure the delivery of high-quality solutions that meet business requirements.

Primary Responsibilities

• BA / PM on the Risk Technology project, with responsibility to lead by example.

• Understand and document business requirements using Agile methodology, and translate into JIRA work items

• Implement requirements traceability for Management, Audit, and other stakeholders.

• Understand the Agile framework for Risk Technology projects, ensure adoption and consistent implementation of Policies and Procedures.

• Prioritize work by setting and meeting realistic deadlines, forecasting, and communicating changes resulting from risks and issues.

• Ensure a high level of fiscal control and accountability for project budget and resources.

• Continuously improve Agile processes to enhance efficiency and effectiveness.  

Collaboration and Communication

• Team player with ability to work collaboratively as part of a diverse team across multiple time zones.

• Work closely with team members, and end-users to educate on the Agile practices and benefits of Agile Methodology.

• Generate appropriate reports/dashboards that provide insight into the Plan, Scope, Project Status, Team Productivity, Data Exceptions, etc.

• Maintain documentation and create reusable templates.  

Key Skills and Competencies

• Experience as a BA/PM working on Agile projects utilizing Cloud technologies (Preferably Azure).

• Familiarity with relational databases, SQL, and data validation techniques.  

• Expertise using tools such as Confluence, JIRA, Visio/Gliffy, SharePoint, Office365, etc.

• Strong analytical skills and attention to detail.  

• Good understanding of various software development life cycles (SDLC).  

 Qualifications

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

• 10+ years of experience, preferably in Risk Technology initiatives using Agile methodology.

• 5+ years of experience working in Capital Markets or Fixed income or Commercial Lending.

• Experience working with geographically dispersed teams across multiple time zones.

Azure Databricks Engineer

Job Summary 

Primary Responsibilities

• Responsible for Administration, Configuration, and Optimization of Azure Databricks platform. 

• Provide technical expertise to deploy applications on the platform.

• Work with data engineers, data scientists, and other stakeholders to ensure the platform meets requirements.  

• Proficient in Python coding and frameworks knowledge. 

• Manage infrastructure and collaborate with teams to integrate with all components, including network, security, and remote access. 

• Coordinate with SMBC Platform teams, APIM, Azure DevOps, and Support.

• Configure Databricks Cluster, and Unity Catalog repository. 

• Integrate seamlessly with On-prem databases and Power BI reports.  

• Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. 

• Partner with architects, engineers, information analysts, business, and technology stakeholders.

• Develop and deploy enterprise grade platforms that enable data-driven solutions. 

• Provide technical guidance on technology implementation and architectural changes. 

• Analyze and design technical solutions on Azure to address business needs. 

• Develop, test, and modify software to improve efficiency of data platforms and applications. 

• 
  

• Own projects end to end, work with business stakeholders, IT teams, data stewards, and 3rd parties to ensure accurate and insightful outcomes. 

• Integrate data from a variety of sources, ensure they adhere to data quality and accessibility standards. 

• Enable streaming data use-cases and standard design patterns in a big data environment. 

• Collaborate with data scientists to integrate algorithms and models into automated processes.

• Apply expertise, judgment, and precedents to resolve moderately complex problems. 

• Review and provide feedback on core code changes and support production deployment. 

• Ability to migrate the Data Science models written on native python language to the multi node Databricks compute is desirable.

Key Skills and Competencies

Azure Databricks, Python, Azure Data Factory, Azure Functions, Azure Data Lake storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Azure Service Bus, R, SQL Server, Oracle / PL-SQL, T-SQL and SQL stored procedures, Azure DevOps.   

 Qualifications

• IT professional experience in Azure Cloud with over 7+ years of Azure Development. 

• Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database, and SQL Datawarehouse.

• Excellent interpersonal and communication skills.

• Experience with software configuration management tools such as Git/Gitlab. 

• Experience with continuous integration and deployment (CI/CD) tools such as Azure DevOps.

JD: Playwright Python, Power BI and Power Apps QA Tester

Job Summary:

SMBC Risk Technology group is seeking a skilled and detail-oriented Power BI and Power Apps QA Tester to join the team. The ideal candidate will be responsible for testing, validating, and ensuring the quality and functionality of Power BI dashboards, Power Apps solutions, and related integrations. This role involves working closely with development teams, business analysts, and end-users to ensure the delivery of high-quality solutions that meet business requirements.

 Primary Responsibilities

  Testing and Quality Assurance

• Develop, document, and execute test plans, test cases, and test scripts for Power BI dashboards, Power Apps solutions, and related integrations.  

• Validate data accuracy, functionality, performance, and visualizations in Power BI reports and dashboards.  

• Test Power Apps functionality, including forms, workflows, and business logic.  

• Identify, report, and track defects and inconsistencies using JIRA or similar tools.  

• Conduct regression testing to ensure existing functionality remains unaffected after updates or enhancements.  

 Collaboration and Communication

• Work closely with developers, business analysts, and end-users to understand requirements and design test scenarios.  

• Communicate defects, testing progress, and results clearly and effectively to stakeholders.  

• Participate in requirement reviews and provide input from a testing perspective.  

 Automation and Process Improvement

• Explore and implement test automation for Power BI reports and Power Apps where feasible.  

• Continuously improve QA processes and strategies to enhance efficiency and effectiveness.  

• Maintain testing documentation and create reusable templates for future use.  

 Key Skills and Competencies

• Strong understanding of Power BI, including DAX, Power Query, and data modeling.  

• Familiarity with Power Apps, including Canvas and Model-driven Apps, and related workflows.  

• Experience with testing web-based applications.  

• Knowledge of relational databases, SQL, and data validation techniques.  

• Familiarity with APIs and Power Automate workflows.

• Hands-on experience with defect tracking tools (e.g., JIRA, Azure DevOps).  

• Strong analytical skills and attention to detail.  

• Good understanding of software development life cycle (SDLC) and agile methodologies.  

 Required Qualifications

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

• 4+ years of experience as a QA Tester, preferably in Power BI and Power Apps environments.  

• Proven experience in testing data visualizations and low-code/no-code applications.  

• Testing Python Applications: Strong knowledge of Python and testing frameworks and experience with mocking, fixtures, and test coverage tools.

• Automation using Playwright: Hands-on experience in writing and maintaining Playwright scripts.

• Working Experience with GitHub and Azure DevOps : Proficiency in Git workflows and version control and Experience in setting up and managing CI/CD pipelines

 Preferred Qualifications

• Experience with test automation tools like Selenium, PowerShell, or custom scripts for Power Platform solutions.  

JD: Python AI Engineer with Databricks exposure

Job Summary

We are seeking a highly skilled Python AI Engineer to join our innovative team. The ideal candidate will be responsible for developing and deploying scalable, production-grade Generative AI applications using Python, modern GenAI frameworks, vector databases, Azure Cloud and  Databricks. You will integrate AI‑powered capabilities into web applications and enterprise platforms, building agentic workflows, RAG systems, and end-to-end AI services.

Key Responsibilities:

• Design, develop, and deploy advanced LLM-powered and agentic AI solutions using Python and modern GenAI frameworks such as LangChain and LangGraph.

• Build and optimize RAG pipelines, including data ingestion, embeddings, retrieval, and vector database integration.

• Develop and manage AI agents capable of tool usage, multistep reasoning, and workflow orchestration.

• Integrate AI services into applications using Python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.

• Collaborate with cross‑functional teams to gather requirements, design conversational or agentic flows, and implement scalable AI solutions.

• Monitor and evaluate AI system performance using structured evaluation frameworks, A/B testing, regression testing, and telemetry-driven analysis.

• Continuously optimize AI performance, ensuring correctness, resilience, groundedness, and reliability.

• Develop reusable components, libraries, and pipelines for rapid AI solution deployment.

• Ensure adherence to data privacy, security, and responsible AI engineering standards.

• Utilize Databricks/open source frameworks/libraries for experimentation, development, and scalable GenAI workflows.

Technical Skills and Qualifications:

• BS or MS in Computer Science, Engineering, or a related field.

• Strong programming experience in Python with a focus on building scalable backend systems and APIs.

• Proven experience developing GenAI applications using:

• LangChain, LangGraph, or equivalent frameworks

• RAG architectures and vector databases

• Agentic AI patterns and tool integrations

• MCP (Model Context Protocol) or similar standardized tool interfaces

• Strong understanding of LLMs, NLP techniques, prompting patterns, grounding strategies, and RESTful API integration.

• Practical experience with evaluation techniques including A/B testing, dataset-driven evaluation, and performance monitoring.

• Hands-on experience building applications using FastAPI, Django, or Flask, and observability tools.

• Solid understanding of software engineering best practices: testing, security, logging, monitoring, scalability, and performance tuning.

• (Good to have) Familiarity with Databricks for data workflows and GenAI model development.

• Intermediate to advanced skills in developing secure, reliable, and production-ready AI‑driven systems.

Preferred Qualifications:

• Databricks Certified: Generative AI Engineer Associate or equivalent.

• Experience with prompt engineering, evaluation frameworks, and end-to-end GenAI lifecycle management.

• Knowledge of DevOps/MLOps practices for deploying and maintaining Python-based AI applications.

• Familiarity with agile methodologies and CI/CD pipelines using GitHub or Azure DevOps.

• Full-stack development experience to integrate AI solutions into web applications.evOps and GitHub. 

Job Title: Manager – Finance

Department: Finance & Accounts

Reporting To: Finance Controller

Location: Indore

Role Overview

The Manager – Finance will be responsible for managing accounting operations, ensuring statutory

and tax compliance, supporting financial reporting, and overseeing finance activities across domestic

and overseas subsidiaries. The role requires strong technical expertise, analytical skills, and

leadership capabilities.

Key Responsibilities

1. Team Management

 Lead, supervise, and develop the finance & accounts team

 Allocate responsibilities and ensure timely deliverables

 Drive performance, efficiency, and internal controls

2. Accounting & Financial Operations

 Oversee day-to-day accounting activities including:

o General ledger, journal entries, reconciliations

o Accounts payable / receivable

o Bank & balance sheet reconciliations

 Ensure accuracy, completeness, and timeliness of books of accounts

 Strengthen and monitor internal financial controls

3. Direct Tax Compliance

 Oversee compliance related to Income Tax including:

o Advance tax calculations

o TDS/TCS compliance

o Tax audits & assessments

o Return filings

 Coordinate with tax consultants and authorities

4. Indirect Tax Compliance

 Supervise GST compliance including:

o Return filings (GSTR-1, 3B, etc.)

o Reconciliations & audits

o Input tax credit reviews

 Handle notices, assessments, and departmental queries

5. SEZ Compliance

 Ensure adherence to SEZ regulations including:

o SOFTEX filings

o LUT/Bond compliance

o Periodic reporting & documentation

 Liaise with SEZ authorities

6. Financial Reporting

 Assist in preparation of quarterly and annual financial statements for standalone entity

 Support statutory audit and internal audit processes

 Provide schedules, reconciliations, and audit documentation

7. Consolidation & Group Reporting

 Assist in consolidation of financial statements for domestic and overseas subsidiaries

 Coordinate with subsidiaries for financial data, eliminations, and adjustments

 Ensure compliance with applicable accounting standards (Ind AS / IFRS as applicable)

8. Overseas Subsidiary Compliance

 Oversee direct and indirect tax compliance for overseas subsidiaries

 Coordinate with local consultants/advisors

 Monitor regulatory and statutory filing requirements

9. Budgeting & Analysis (Recommended addition)

 Support budgeting and forecasting processes

 Perform variance analysis and management reporting

 Provide financial insights for decision-making

10. Process Improvement & Controls (Recommended addition)

 Identify opportunities for automation and efficiency

 Implement best practices in accounting & compliance

 Strengthen SOPs and documentation

Qualification & Experience

 Mandatory: Qualified Chartered Accountant (CA)

 Experience: 3–5 years of relevant post-qualification experience

 Prior experience in corporate accounting, compliance, or consulting preferred

Key Skills & Competencies

 Strong knowledge of accounting standards & financial reporting

 Auditing & financial statement preparation

 Direct & Indirect Tax compliance

 SEZ regulatory knowledge

 Advanced MS Excel & PowerPoint

 Working knowledge of Power BI

 Experience with Tally or equivalent ERP/accounting systems

 Analytical thinking & problem-solving

 Leadership & team management

 Attention to detail & deadline orientation

Preferred Attributes

 Experience in handling multi-entity / group reporting

 Exposure to overseas accounting/taxation

 Ability to interact with auditors, consultants & regulators

 Strong communication & stakeholder management skills

JD:  Senior Python Developer (Azure, Monitoring, Troubleshooting) – Vivek/Vinay/SR11-10

 Overview
Seeking a Senior Python Developer to optimize and maintain web-based applications on Azure. Responsible for setting up robust monitoring, diagnosing complex issues, and driving reliable production operations. You will play a key role in proactively identifying issues, optimizing performance, and enabling visibility across our cloud environments while working with different teams to achieve your goals. Strong communication skills are essential.

 Key Responsibilities

• Optimize and maintain Python web applications and APIs.

• Manage solutions on Microsoft Azure (App Service, Functions, Containers, Storage, SQL, Databricks).

• Design and implement application and infrastructure monitoring (Azure Monitor, Application Insights, Log Analytics).

• Build alerting, dashboards, tracing, and logging for observability (OpenTelemetry preferred).

• Diagnose performance, reliability, and security issues across the stack; improve operational maturity and lead incident response and root cause analysis.

• Automate CI/CD and release processes (GitHub Actions/Azure DevOps).

• Collaborate with cross-functional teams to achieve goals.

Required Qualifications

• 7+ years professional Python development (FastAPI/Django/Flask).

• Strong SQL skills.

• Strong Azure experience deploying and operating production workloads.

• Familiarity with Databricks

• Hands-on monitoring/observability setup for Python web apps.

• Proficiency with logging, metrics, tracing, and profiling tools.

• Solid debugging skills: performance tuning, memory/CPU analysis, dependency issues.

• Experience with RESTful APIs, asynchronous processing, and message queues.

• Experience with Disaster Recovery setup processes for the Azure platform.

• CI/CD pipelines, containerization (Docker), and IaC (Bicep/Terraform) familiarity. 

JD: Python Automation QA with Advanced SQL

We are seeking a meticulous Automation QA Tester with 8+ years of experience, strong SQL skills, Python Automation testing to ensure data integrity, accuracy, and completeness throughout the data transformation processes. This role demands flexibility in working hours to facilitate effective communication with developers and project teams across various time zones.

Key Responsibilities:
• Design, develop, and execute automation and manual test cases  to validate the functionalities of the software.

• Design, develop, and execute test cases to validate data extraction, transformation, and loading processes.
• Write and execute complex SQL queries to perform data validation and back-end testing.
• Identify, report, and track defects systematically.
• Participate in project meetings and be available for discussions in US EST working hours as needed

• Clarify requirements when necessary and ensure comprehensive coverage of all requirements in the testing process.

Required Skills & Qualifications:

  Strong SQL skills with hands-on experience in writing and optimizing complex queries

• Python Automation Scripting preferably with Playwright 

Familiarity with data warehouses concept.

• Knowledge of Python.

• Experience in Data side Testing: Understanding of data extraction, transformation, and loading (ETL) processes.
• Experience with SQL DBMS Tools: Knowledge of database management systems such as Oracle, Denodo, Azure Databricks, SQL Server.

• Knowledge of Agile Methodologies and Defect Tracking Tools: Familiarity with Agile development processes and proficiency in using defect tracking tools like JIRA.

JD: Python Automation QA with Advanced SQL

We are seeking a meticulous Automation QA Tester with 5 to 7+ years of experience, strong SQL skills, Python Automation testing to ensure data integrity, accuracy, and completeness throughout the data transformation processes. This role demands flexibility in working hours to facilitate effective communication with developers and project teams across various time zones.

Key Responsibilities:
• Design, develop, and execute automation and manual test cases  to validate the functionalities of the software.

• Design, develop, and execute test cases to validate data extraction, transformation, and loading processes.
• Write and execute complex SQL queries to perform data validation and back-end testing.
• Identify, report, and track defects systematically.
• Participate in project meetings and be available for discussions in US EST working hours as needed

• Clarify requirements when necessary and ensure comprehensive coverage of all requirements in the testing process.

Required Skills & Qualifications:

  Strong SQL skills with hands-on experience in writing and optimizing complex queries

• Python Automation Scripting preferably with Playwright 

Familiarity with data warehouses concept.

• Knowledge of Python.

• Experience in Data side Testing: Understanding of data extraction, transformation, and loading (ETL) processes.
• Experience with SQL DBMS Tools: Knowledge of database management systems such as Oracle, Denodo, Azure Databricks, SQL Server.

• Knowledge of Agile Methodologies and Defect Tracking Tools: Familiarity with Agile development processes and proficiency in using defect tracking tools like JIRA.

JD: Python Full Stack Developer – Vivek/Vinay/SR11-10

Requirements

• Develop highly scalable applications in Core Python.

• Hands-on with Python web frameworks such as Django, Flask, or FastAPI.

• Experience working on SQL with ability to run various data analytics tasks and queries.

• Exposure to Java script technologies (preferably React)

• Exposure to Azure Databricks environment is desirable (PySpark, notebooks, integrate repos, job workflows, delta lake, unity catalog etc)

• Exposure to azure environment and various interconnected azure components (Functions, App Service, Containers etc.).

• Knowledge on Financial domain and mainly Risk management is highly desirable

Qualifications

• 8+ years of prior experience as a developer in the required technologies

CORE TECHNOLOGIES

• Scripting: Python, SQL, Bash, PySpark

• Web frameworks:  Django, Flask, or FastAPI.

• Frontend Technologies: ReactJS, Java Script

• Azure: Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure Data Lake Storage Gen2, Azure Event Grid, Azure Event Hubs, Azure Service Bus, Azure Key Vault, Azure Monitor, Azure Log Analytics, Azure API Management (APIM), Azure DevOps.

• Databases: SQL Server, Oracle, PostgreSQL, Delta Lake

• Big Data: Apache Spark

• Version Control:  GitHub, Git, Azure DevOps

• Visualization: Power BI & Integration with REST APIs for custom dashboards.

• Data Integration & Workflow Orchestration: Azure Data Factory, Databricks Workflows

Vendor Resume screening notes

• Very strong Python/SQL foundational knowledge (Someone who has experience building applications ground-up using Python/SQL and not just maintaining frameworks that have largely been built.)

• Demonstrate strong system design skills including rationalization of the architecture and articulating technical concepts.

• Someone with current hands-on experience and not focused on support / QA roles or essential coding as a team lead.

• Drive the overall ServiceNow platform solution strategy, architecture, and roadmap across multiple workflows
• Lead end-to-end solution architecture for multi-module implementations including ITSM, HRSD, CSM, GRC/IRM, CMDB/CSDM, Integrations, and Now Assist
• Facilitate business and technical workshops to gather requirements, define use cases, and arrive at architectural decisions
• Design future-state architectures that are scalable, upgrade-safe, and aligned with ServiceNow best practices
• Create and own Solution Blueprints, Process Definition Documents (PDDs), data models, process maps, and interface architectures
• Ensure alignment with CSDM standards, CMDB governance, and domain separation considerations
• Guide delivery teams on configuration vs. customization, ensuring maintainability and upgradeability
• Participate in CAB discussions, technical quality gates, and roadmap prioritization
• Act as a trusted advisor to business, IT, and leadership stakeholders
• Provide technical guidance on AI and automation capabilities such as Now Assist, Virtual Agent, Predictive Intelligence, process mining, and workflow optimization
• Conduct solution reviews, upgrade impact analysis, and manage technical debt
• Collaborate closely with Project Managers, Business Analysts, Developers, QA, and Platform Owners to ensure solution integrity across releases

• Opportunity to shape enterprise-scale ServiceNow transformations
• High visibility role with direct engagement with business leaders and platform owners
• Work on cutting-edge ServiceNow capabilities, including AI and automation
• Strong ownership, influence, and architectural decision-making authority
• A collaborative environment that values best practices, innovation, and long-term platform health

• Strong hands-on experience as a ServiceNow Solution Architect
• Deep platform knowledge with multi-module expertise across ITSM, CMDB/CSDM, HRSD, GRC/IRM, Integrations, and Now Assist
• Proven ability to translate complex business requirements into scalable ServiceNow solutions
• Excellent stakeholder management and communication skills
• Strong understanding of ServiceNow architecture, governance, and best practices
• Experience leading solution design for large-scale or complex ServiceNow programs

• ServiceNow certifications (preferred – certified candidates only)
• Exposure to AI-driven ServiceNow capabilities and automation use cases
• Experience defining multi-year platform roadmaps and value realization

What Will Your Role Look Like
• Design and implement end-to-end performance test strategies for enterprise applications
• Develop and maintain performance test scripts using JMeter and Gatling
• Execute load, stress, spike, and endurance tests across distributed environments
• Analyze application, JVM, database, and infrastructure performance bottlenecks
• Perform thread dump analysis, GC tuning, heap/CPU profiling and root cause analysis
• Integrate performance tests into CI/CD pipelines for continuous validation
• Collaborate with Dev, DevOps, and Architecture teams for system optimization
• Prepare detailed performance reports with actionable recommendations

Why You Will Love This Role
• Opportunity to work on scalable, cloud-native and microservices-based systems
• High ownership in driving performance engineering best practices
• Exposure to modern tools, APM solutions, and containerized environments
• Work in a collaborative, engineering-first culture
• Strong learning and career growth opportunities

We Would Like You to Bring Along
• 7–10+ years of hands-on experience in Performance Testing and Engineering
• Strong expertise in JMeter and Gatling
• Experience with New Relic, RunScope, and Splunk
• Strong knowledge of JVM tuning, DB performance tuning, and server optimization
• Scripting expertise in Python / Shell / Groovy / Java / JavaScript
• Experience with AWS / Azure / GCP and container technologies (Docker/Kubernetes)
• Strong analytical, debugging, and problem-solving skills
• Good communication and stakeholder management skills

Good-to-Have Skills
• Experience with additional APM/monitoring tools
• Knowledge of Infrastructure as Code (Terraform/CloudFormation)
• Experience in performance testing of event-driven or streaming architectures
• Exposure to Chaos Engineering practices
• Relevant certifications in Performance Testing or Cloud Technologies

What will your role look like

• Design, develop, and maintain applications using .NET technologies (C#).
  
• Build scalable solutions with ASP.NET Core / MVC / Web API.
  
• Write efficient, clean, and maintainable code following coding standards and best practices.
  
• Work with SQL Server for data modeling, stored procedures, queries, and performance tuning.
  
• Implement front-end functionalities using JavaScript (basic frameworks/libraries knowledge is a plus).
  
• Collaborate with QA, UI/UX, and product teams to deliver high-quality solutions.
  
• Debug, troubleshoot, and resolve application defects and issues.
  
• Participate in code reviews, knowledge-sharing, and process improvements.
  
• Stay updated with emerging technologies in the Microsoft and web ecosystem.
  

Why you will love this role

• Opportunity to work on challenging projects with the latest .NET ecosystem.
  
• Collaborative culture that values innovation, code quality, and learning.
  
• Exposure to full-stack development (back-end with .NET and front-end with JavaScript).
  
• A chance to contribute to process improvements and technology adoption.
  
• Work in an environment that encourages continuous learning and professional growth.
  

We would like you to bring along

• 5–8 years of hands-on development experience in .NET (C#).
  
• Strong working knowledge of SQL Server (queries, stored procedures, database design).
  
• Solid understanding of JavaScript for implementing client-side features.
  
• Good understanding of OOP, design patterns, and software development principles.
  
• Familiarity with version control tools (Git, TFS).
  
• Strong problem-solving and analytical skills.
  
• Good communication and teamwork abilities.
  
• Bachelor’s degree in Computer Science, IT, or related field (or equivalent practical experience).
  

Good-to-have skills

• Exposure to front-end frameworks (Angular, React, or jQuery).
  
• Basic knowledge of cloud platforms (Azure, AWS) or DevOps practices.
  
• Familiarity with Agile methodologies.

What will your role look like

• Lead the design, development, and deployment of AI and Generative AI solutions using AWS, Azure, or GCP.
• Provide architectural guidance, conduct technical reviews, and ensure best practices in AI/ML, data engineering, and cloud-native development.
• Stay ahead of emerging trends in AI, GenAI, and cloud to introduce innovative solutions across the organization.
• Manage multiple projects end-to-end, defining scope, timelines, budgets, and resources in alignment with business objectives.
• Identify and mitigate risks and dependencies while ensuring timely and quality delivery.
• Lead and mentor a multi-disciplinary team of AI engineers, data scientists, cloud engineers, and software developers.
• Collaborate with business leaders, product owners, and clients to translate business needs into scalable technical solutions.
• Present solutions and updates to both technical and non-technical stakeholders.

Why you will love this role

• Opportunity to drive cutting-edge AI and GenAI initiatives at enterprise scale.
• Lead and mentor a high-performing, innovative team in a collaborative and inclusive culture.
• Work with the latest cloud-native services, MLOps, and AI frameworks to deliver impactful solutions.
• Influence business and technology strategy by bridging technical innovation with business value.
• Be at the forefront of AI-driven digital transformation, shaping solutions that impact clients and industries.

We would like you to bring along

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
• 8+ years of technology experience with 5+ years in team/project management.
• Proven expertise in AI/ML and Generative AI (LLMs, Transformers, NLP, Computer Vision).
• Strong hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML cloud services.
• Solid understanding of software engineering, DevOps, CI/CD, and MLOps practices.
• Experience in data engineering, pipelines, and scalable system design.
• Excellent leadership, communication, and stakeholder management skills.

Good-to-have skills

• Certifications in Cloud (AWS/Azure/GCP) and/or AI/ML.
• Experience with Agile methodologies (Scrum, SAFe, Kanban).
• Exposure to enterprise-scale AI transformation initiatives.

Role Overview
This senior leadership position requires a high-energy expert with 10+ years of experience to lead the growth and success of strategic relationships with major Hyperscalers (AWS, Google Cloud, Microsoft Azure). You will operate at the intersection of revenue generation, long-term client success, and product-driven partnerships to drive co-sell revenue and cloud adoption.

Key Responsibilities
1. Strategic Sales & Co-Sell Leadership

• Revenue Growth: Drive incremental revenue by leveraging Hyperscaler co-sell motions and Marketplaces.
  
• Executive Alignment: Build and maintain “top-to-top” relationships between internal sales leaders and Hyperscaler stakeholders.
  
• Pipeline Management: Oversee joint sales plays and lead regional engagement plans to acquire new enterprise customers.

2. Client Success & Retention

• Value Realization: Own the overarching post-sales health of strategic accounts, ensuring clients achieve measurable outcomes from cloud integrations.
  
• Churn Mitigation: Proactively monitor customer health and serve as the primary escalation point for complex technical or business issues.
  
• Expansion: Identify upsell and expansion opportunities by aligning customer pain points with new product capabilities.
  

3. Product Partnership & Ecosystem Strategy

• GTM Alignment: Align internal Go-To-Market (GTM) strategies with Hyperscaler roadmaps to ensure cohesive market approaches.
  
• Roadmap Influence: Bring the “voice of the customer” back to product teams to prioritize features that unlock repeatable market opportunities.
  
• Ecosystem Integration: Launch ISV integrations and joint value propositions that resonate with both technical and business decision-makers.
  

Qualifications

• Experience: 10+ years in enterprise software sales, partner management, or customer success, with at least 5 years focused on the Hyperscaler ecosystem.
  
• Leadership: Proven track record of managing high-performing teams and influencing cross-functional stakeholders in a matrixed organization.
  
• Technical Acumen: Deep understanding of cloud ecosystems, SaaS business models, and Hyperscaler Marketplace dynamics.
  
• Communication: Exceptional executive presence with the ability to build crisp narratives for C-level audiences.
  
• Education: Bachelor’s or Master’s degree in Business, Technology, or a related field.

Experience

7–10 years

The role works closely with Customer Success, Engineering, and Leadership teams by delivering clear, actionable, and well-structured research insights that influence account strategy, roadmap decisions, and proactive engagement.

Key Responsibilities

Customer & Account Intelligence

Conduct deep research on existing customers across geographies to identify:
Expansion, cross-sell, and up-sell opportunities
Signals of change (technology shifts, org changes, investments, M&A, hiring trends, compliance needs, etc.)
White spaces and unmet needs aligned to our offerings
Track ongoing developments for a defined set of strategic accounts (news, tech direction, hiring, partnerships, investments).

Strategic Research & Analysis

Build company, industry, and technology intelligence including:
IT landscape and digital maturity
Current and emerging technology priorities
Vendor ecosystem and competitive positioning
SWOT, competitor benchmarking, and opportunity mapping
Translate raw data into clear narratives and insights, not just information.

Skills & Competencies

Must-Have

Strong secondary research and market intelligence experience
Excellent written communication – ability to explain complex insights clearly and crisply
Working knowledge of G Suite (Google Sheets, Slides, Doc)
Hands-on experience using GenAI tools for research, synthesis, and productivity
Proven ability to work independently with minimal supervision. High attention to detail and quality orientation. Strong analytical thinking and structured problem-solving

Good to Have

Exposure to IT services, technology consulting, or digital transformation domains
Experience supporting sales, account management, or customer success teams
Experience with tools like Bloomberg, Reuters Eikon, D&B Hoovers, ZoomInfo, Apollo.ai, Tableau, Power BI

Educational Background

MBA or equivalent postgraduate degree preferred
Engineering or quantitative undergraduate background is a plus

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• Design, configure, and develop AI- and ML-driven solutions within the ServiceNow platform
• Leverage ServiceNow AI capabilities such as Now Assist (GenAI), Predictive Intelligence, Virtual Agent, NLU models, and Performance Analytics & Insights
• Build intelligent automation to enhance user experience and enable data-driven decision-making across enterprise workflows
• Develop and integrate custom AI/ML solutions using REST/SOAP APIs and external AI services where required
• Collaborate closely with Solution and Technical Architects to define AI solution architecture, including data sources, governance, and scalability
• Monitor AI model performance and continuously fine-tune models to maintain accuracy, relevance, and effectiveness
• Ensure AI implementations align with ServiceNow best practices, security standards, and platform upgradeability

• Opportunity to work at the intersection of AI, automation, and enterprise workflows
• Hands-on exposure to cutting-edge ServiceNow AI capabilities including GenAI
• High-impact role influencing platform intelligence and user experience
• Collaborative environment with strong architectural and innovation focus
• Continuous learning in a rapidly evolving AI ecosystem

• Hands-on experience developing AI and ML solutions on the ServiceNow platform
• Strong expertise in Now Assist, Predictive Intelligence, Virtual Agent, and NLU frameworks
• Experience integrating external AI/ML services using REST/SOAP APIs
• Solid understanding of ServiceNow data models, workflows, and automation capabilities
• Ability to work closely with architects and cross-functional teams
• Good communication skills with the ability to explain complex AI concepts to stakeholders

• Experience with Performance Analytics, dashboards, and AI-driven insights
• Exposure to enterprise-scale ServiceNow implementations
• Knowledge of AI governance, data quality, and model lifecycle management
• ServiceNow certifications (CSA, CAD, or AI-related certifications)

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• 3–8 years of strong hands-on experience in Python development
  Excellent understanding of core Python concepts and data structures
  Hands-on experience with threading, multiprocessing, and async/await
  Strong knowledge of Operating System fundamentals (processes, threads, memory management)
  Understanding of kernel logs and system-level debugging
  Good knowledge of mutexes, locks, semaphores, and synchronization mechanisms
  Experience in debugging performance and concurrency-related issues
  Proficiency with Linux-based environments