Current openings

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We are seeking an experienced ServiceNow Developer with deep expertise in ITSM, CMDB, CSDM, and Service Mapping. In this role, you will design, configure, and maintain ServiceNow solutions that enhance IT service delivery, improve data governance, and enable effective service mapping across the enterprise. You will work closely with architects, business analysts, and stakeholders to implement scalable, maintainable, and upgrade-safe ServiceNow solutions.

What will your role look like

• Develop and configure ServiceNow solutions focusing on ITSM, CMDB, CSDM, and Service Mapping

• Customize workflows, business rules, client scripts, UI actions, UI policies, and Service Portal components as required

• Implement and maintain Service Mapping to provide accurate dependency and service data for the CMDB

• Collaborate with IT and business teams to translate requirements into technical solutions

• Support testing, deployment, and post-production stabilization of ServiceNow solutions

• Ensure solutions follow ServiceNow best practices, maintainability, and upgrade-safe design principles

• Monitor and improve CMDB data quality, completeness, and compliance with CSDM standards

Why you will love this role

• Opportunity to work on enterprise-scale ITSM and CMDB implementations

• Hands-on exposure to Service Mapping and CSDM frameworks

• High-impact role influencing IT service delivery, data governance, and operational efficiency

• Collaborative environment with strong learning and growth opportunities

• Chance to develop deep expertise in ITSM, CMDB, and ServiceNow platform best practices

We would like you to bring along

• Strong hands-on experience with ServiceNow ITSM modules

• Experience with CMDB configuration, Service Mapping, and CSDM implementation

• Proficiency in scripting and customization: Business Rules, Client Scripts, UI Actions, UI Policies, Script Includes

• Experience integrating ServiceNow with other IT systems via REST/SOAP APIs

• Strong analytical, problem-solving, and communication skills

• Ability to work effectively in cross-functional teams and deliver quality solutions

Good-to-have skills

• ServiceNow certifications (CSA, CAD, or ITSM-related)

• Experience with Agile/Scrum delivery models

• Exposure to multi-module ServiceNow implementations including CSM, HRSD, or GRC

• Knowledge of upgrade processes, performance optimization, and best practices

Job Summary 

SMBC Risk Technology Group is seeking a talented and motivated senior Azure Data Engineer. The role will be responsible for developing solutions for risk, regulatory, and compliance projects on Azure platform as well as on-prem to cloud migration initiatives. The Azure Cloud Engineer strategizes, designs, develops, and works with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions. The person will play a key role in supporting the growth and scale of Azure cloud-based technology infrastructure. This role will also be responsible for development of complex interfaces, troubleshooting issues, supporting weekend maintenance, and production support.  

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

 Qualifications

• IT professional experience in Azure Cloud with over 5+ 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.

Job Summary 

SMBC Risk Technology Group is seeking a talented and motivated senior Azure Data Engineer. The role will be responsible for developing solutions for risk, regulatory, and compliance projects on Azure platform as well as on-prem to cloud migration initiatives. The Azure Cloud Engineer strategizes, designs, develops, and works with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions. The person will play a key role in supporting the growth and scale of Azure cloud-based technology infrastructure. This role will also be responsible for development of complex interfaces, troubleshooting issues, supporting weekend maintenance, and production support.  

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

 Qualifications

• IT professional experience in Azure Cloud with over 5+ 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.

Job Title: Senior Go Developer (4–6 Years Experience, PostgreSQL)

Experience: 4–8 years

About the Role

We are seeking an experienced Senior Go Developer who is proficient in building

scalable, high-performance backend applications. The ideal candidate will have

strong expertise in the Go programming language and hands-on experience with

PostgreSQL database systems. You will be responsible for designing, developing,

and maintaining robust backend services, ensuring data integrity, performance, and

security.

Key Responsibilities

 Design, develop, and maintain backend services using Go (Golang)

 Implement efficient data models and database schemas in PostgreSQL

 Optimize database queries and ensure high performance for large-scale

applications

 Collaborate with cross-functional teams to define, design, and ship new

features

 Write clean, maintainable, and well-documented code

 Troubleshoot, debug, and upgrade existing systems

 Integrate data storage solutions and ensure data security and compliance

 Participate in code reviews and mentor junior developers

 Work with DevOps to deploy and monitor applications in cloud environments

(AWS, GCP, or Azure)

 Contribute to technical documentation and best practices

Required Skills and Qualifications

 4–8 years of professional software development experience, with at least 3

years in Go

 Strong proficiency in PostgreSQL, including schema design, query

optimization, and performance tuning

 Experience building RESTful APIs, microservices and working with JSON

 Familiarity with version control systems (Git)

 Understanding of distributed systems and cloud infrastructure (AWS, GCP, or

Azure)

 Solid knowledge of data structures, algorithms, and software design principles

 Excellent problem-solving and communication skills

 Experience with Kubernetes and Docker

Nice-to-Have Skills

 Knowledge of NoSQL databases (e.g., DynamoDB, Redis) and key-value

stores

 Familiarity with front-end technologies (React) is a plus

 Familiarity with Kafka

Role Summary:

We are seeking an experienced ServiceNow Developer with deep expertise in ITSM, CMDB, CSDM, and Service Mapping. In this role, you will design, configure, and maintain ServiceNow solutions that enhance IT service delivery, improve data governance, and enable effective service mapping across the enterprise. You will work closely with architects, business analysts, and stakeholders to implement scalable, maintainable, and upgrade-safe ServiceNow solutions.

What will your role look like:

• Develop and configure ServiceNow solutions focusing on ITSM, CMDB, CSDM, and Service Mapping
• Customize workflows, business rules, client scripts, UI actions, UI policies, and Service Portal components as required
• Implement and maintain Service Mapping to provide accurate dependency and service data for the CMDB
• Collaborate with IT and business teams to translate requirements into technical solutions
• Support testing, deployment, and post-production stabilization of ServiceNow solutions
• Ensure solutions follow ServiceNow best practices, maintainability, and upgrade-safe design principles
• Monitor and improve CMDB data quality, completeness, and compliance with CSDM standards

Why you will love this role:

• Opportunity to work on enterprise-scale ITSM and CMDB implementations
• Hands-on exposure to Service Mapping and CSDM frameworks
• High-impact role influencing IT service delivery, data governance, and operational efficiency
• Collaborative environment with strong learning and growth opportunities
• Chance to develop deep expertise in ITSM, CMDB, and ServiceNow platform best practices

We would like you to bring along:

• Strong hands-on experience with ServiceNow ITSM modules
• Experience with CMDB configuration, Service Mapping, and CSDM implementation
• Proficiency in scripting and customization: Business Rules, Client Scripts, UI Actions, UI Policies, Script Includes
• Experience integrating ServiceNow with other IT systems via REST/SOAP APIs
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in cross-functional teams and deliver quality solutions

Good-to-have skills:

• ServiceNow certifications (CSA, CAD, or ITSM-related)
• Experience with Agile/Scrum delivery models
• Exposure to multi-module ServiceNow implementations including CSM, HRSD, or GRC
• Knowledge of upgrade processes, performance optimization, and best practices

WHAT WILL YOUR ROLE LOOK LIKE

• Python, Java, RestAssured
• Work as a Senior Java Automation Engineer with strong hands-on experience in QA automation
• Design, develop, and maintain automation frameworks for web applications and APIs
• Implement automation using Playwright with Java
• Perform automation and testing activities across Agile projects
• Collaborate with US/UK (non-Indian) stakeholders and cross-functional teams

WHY YOU WILL LOVE THIS ROLE

• Opportunity to work on modern automation tools and frameworks
• Exposure to client-facing responsibilities with global teams
• Hands-on involvement in end-to-end SDLC and QA processes
• Continuous learning environment with emerging technologies

WE WOULD LIKE YOU TO BRING ALONG

• Minimum 4 years of hands-on experience as a QA Automation Engineer in Java automation
• Strong experience in automation testing for web applications and APIs
• Hands-on experience with Playwright with Java automation
• Salesforce admin domain knowledge
• Mandatory knowledge of Playwright automation basics including web elements, object identification, and automation challenges
• Mandatory knowledge of Selenium automation basics including web elements, object identification, and automation challenges
• Experience with TestNG, Maven, Jenkins, Jira, and QTest
• Strong experience in REST API automation with hands-on exposure to JSON and XML
• Experience in Java automation best practices and POM framework
• Hands-on experience with code repositories such as GIT or Bitbucket
• Strong debugging skills with web applications and negative testing approaches
• Good analytical skills and ability to think of different ways to break the system
• Hands-on experience in SDLC documentation including BRD, FSD, test cases, release documents, and help documents
• Experience in Agile methodologies and QA processes including manual, integration, system, acceptance, regression, and unit testing
• Understanding and hands-on experience in backend testing, SQL commands, CSS, XPATH, and coding standards
• Experience with parallel testing and cross-browser automation tools such as Selenium Grid, BrowserStack, Selenoid, or LambdaTest
• Excellent communication skills for client-facing roles and collaboration with global teams
• Quick learner and self-starter who can work with minimal supervision
• Experience in implementing DevOps culture using automated tools
• Hands-on experience with Gen AI tools, preferably Copilot
• Hands-on experience with Jenkins job configuration and setup

GOOD TO HAVE SKILLS

• Exposure to BDD frameworks such as Cucumber with Gherkin syntax
• Basic understanding of CI/CD pipelines beyond Jenkins including GitHub Actions or GitLab CI
• Experience with performance testing tools like JMeter or Gatling
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of containerization tools like Docker and basic Kubernetes concepts
• Exposure to mobile automation testing using Appium
• Understanding of security testing fundamentals and OWASP concepts
• Experience with test reporting tools like Allure or Extent Reports
• Basic scripting knowledge in Python for automation utilities
• Understanding of accessibility testing standards such as WCAG

• 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
• Prior involvement in upgrade planning, technical debt reduction, and platform optimization

• Own the technical architecture and engineering governance of the ServiceNow platform across multiple workflows
• Act as the technical authority across the entire project lifecycle, ensuring scalable, secure, and high-performance solutions
• Define and enforce code standards, architectural patterns, and platform best practices
• Design upgrade-safe, reusable solutions with a strong focus on performance, security, and maintainability
• Architect and govern integrations using REST/SOAP APIs, Webhooks, MID Server, OAuth, and web services
• Lead platform performance tuning including query optimization, asynchronous design, and memory/log footprint control
• Drive CI/CD implementation, ATF automation, and release governance
• Ensure adherence to CMDB governance, CSDM 4/5.0 frameworks, service mapping, and dependency mapping
• Oversee platform security including ACLs, RBAC, encryption, and customization governance
• Guide and mentor engineering teams on complex technical implementations

• Opportunity to act as the engineering backbone of an enterprise-scale ServiceNow platform
• Work across a wide range of ServiceNow modules and advanced platform capabilities
• High ownership and influence over architecture, standards, and long-term platform health
• Exposure to complex integrations with leading enterprise systems
• A role that values technical depth, innovation, and architectural excellence

• Deep hands-on experience as a ServiceNow Technical Architect or Senior Platform Engineer
• Strong expertise across ServiceNow modules including  ITSM, CSM, HRSD, IRM, SecOps, ITOM/Discovery, and App Engine
• Excellent command of ServiceNow architectural layers: Scoped Apps, Script Includes, Business Rules, Client Scripts, UI Actions, and Flow Designer
• Proven experience with platform performance optimization and scalability
• Strong understanding of upgrade cycles, technical debt management, and customization frameworks
• Solid experience with integrations involving enterprise systems such as SAP, Workday, Azure AD, Salesforce, BMC, CrowdStrike, Tanium, and SCCM

• Experience implementing CI/CD pipelines using Jenkins, GitHub, or Azure DevOps
• Hands-on exposure to Automated Test Framework (ATF)
• Strong knowledge of ServiceNow security architecture including ACLs, RBAC, and encryption
• ServiceNow certifications (preferred)
• Experience working in large-scale, complex, or multi-instance ServiceNow environments

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.
• 12+ 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.
• Familiarity with GenAI tools and frameworks such as LangChain, Hugging Face, or OpenAI APIs.

• Design, develop, and implement agentic AI solutions using frameworks like LangGraph, CrewAI, or similar ecosystems.
• Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines, leveraging Knowledge Graphs and Vector Databases.
• Integrate LLM-powered applications with frontend systems, APIs, or enterprise platforms.
• Collaborate with cross-functional teams to transform business use cases into intelligent, context-aware AI applications.
• Iterate on AI agent workflows, ensuring scalability, reliability, and measurable outcomes in production environments.

• Opportunity to work on cutting-edge agentic AI, LLMs, and next-generation intelligent systems.
• A chance to influence architectural decisions and shape the future of AI-driven solutions.
• Exposure to modern AI frameworks and RAG technologies used by top AI engineering teams.
• A collaborative culture that values innovation, experimentation, and continuous learning.
• Work on high-impact, real-world projects that push the boundaries of applied AI.

• Strong proficiency in Python for AI/ML application development.
• Solid understanding of Large Language Models, prompt engineering, and LLM integration patterns.
• Hands-on experience with frameworks such as LangGraph, CrewAI, LlamaIndex, LangChain, or similar.
• Experience with Vector Databases (Pinecone, FAISS, Weaviate, etc.) and working knowledge of Knowledge Graphs.
• Ability to design, build, iterate, and productionize AI agents with a strong engineering mindset.
• Working knowledge of React or Angular for integrating AI features into front-end interfaces (good to have).

• Experience with public cloud platforms (AWS, Azure, GCP).
• Understanding of MLOps practices for deploying and monitoring LLM/AI applications.
• Familiarity with API development or backend services supporting AI workflows.

What will your role look like

• Automation Testing (Java, RestAssured)

• Design, develop, and maintain robust automated test scripts and frameworks using Java or JavaScript.

• Implement and execute functional and regression tests utilizing either Selenium or Playwright.

• Conduct thorough API testing to validate service functionality, performance, and reliability.

• Manage and maintain all test artifacts, code, and configurations using GIT for version control and collaboration.

• Collaborate effectively with development, product, and DevOps teams to integrate automation into the CI/CD pipeline.

• Actively participate in requirements review and technical design sessions to ensure testability and quality from the start.

Why you will love this role

• You will be crucial in driving the quality and speed of our product releases, operating at the intersection of development and quality assurance. This role offers the opportunity to utilize and choose between cutting-edge automation tools (Selenium vs. Playwright) and requires strong coding skills, ensuring continuous professional growth.
• Your work in API testing and integrating with GIT will directly contribute to a modern, scalable testing practice.

We would like you to bring along

• Expertise in Selenium or Playwright automation frameworks.

• Java or JavaScript hands-on expertise for developing robust automation scripts.

• Must have strong knowledge and experience with GIT for source code management.

• Must have strong knowledge of API testing methodologies and tools.

• Excellent communication skills, both written and verbal, for effective collaboration with global teams.

  
  

Good-to-have skills

• Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).

• Familiarity with cloud environments (AWS, Azure, GCP).

• Experience with performance testing concepts or tools.

• Design, develop, and execute comprehensive ETL test cases to validate data extraction, transformation, and loading processes.
• Perform backend and data validation testing by writing and optimizing complex SQL queries.
• Validate data accuracy, integrity, completeness, and reconciliation between source and target systems.
• Identify, log, track, and retest defects using defect tracking tools, ensuring timely resolution.
• Collaborate closely with developers, data engineers, and business stakeholders to clarify requirements and ensure complete test coverage.
• Participate in Agile ceremonies, sprint planning, and project discussions.
• Be available for collaboration and meetings aligned with US EST working hours when required.

• Work on data-driven projects that directly impact business decisions and analytics outcomes.
• Collaborate with global teams across different time zones and technologies.
• Gain exposure to modern data platforms, including data warehouses and data lakes.
• Be part of a fast-paced, collaborative environment that values quality, ownership, and continuous improvement.
• Opportunity to enhance your skills across SQL, ETL processes, and cloud-based data ecosystems.

• Strong SQL expertise with hands-on experience in writing and optimizing complex queries.
• Proven experience in ETL Testing, including data extraction, transformation, and load validation.
• Solid understanding of data validation, reconciliation, and backend testing concepts.
• Experience working with SQL-based DBMS tools such as Oracle, SQL Server, Denodo, Azure Databricks, or similar platforms.
• Familiarity with data warehouses and data lakes.
• Knowledge of Agile methodologies and experience using defect tracking tools like JIRA.
• Strong analytical mindset with excellent attention to detail and problem-solving skills.
• Effective communication and collaboration skills in a distributed team setup.
• Willingness to work flexible hours to support cross-time-zone collaboration, including US EST.

• Working knowledge of Python for data validation or automation.
• Exposure to cloud platforms such as AWS, Azure, or GCP and their data services.
• Experience in automation frameworks or scripting for ETL testing.

• Design, configure, and develop HRSD solutions within the ServiceNow platform
• Implement HR case management, lifecycle events, employee service portals, and knowledge management
• Customize workflows, business rules, client scripts, UI actions, UI policies, and Service Portal components for HRSD processes
• Develop integrations with external HR systems using REST/SOAP APIs, Workday, SAP, or other HR platforms
• Collaborate with HR business analysts, architects, and technical teams to translate business requirements into technical solutions
• Support testing, deployment, and post-production stabilization of HRSD solutions
• Ensure solutions are aligned with ServiceNow best practices, maintainable, and upgrade-safe

• Opportunity to work on enterprise-scale HRSD implementations with direct impact on employee experience
• Hands-on role combining development, integration, and process improvement
• Exposure to complex HR workflows and modern ServiceNow features
• Collaborative environment with strong focus on learning and innovation
• Chance to develop deep expertise in HRSD and related ServiceNow modules

• 5+ years of hands-on experience as a ServiceNow Developer with HRSD module expertise
• Strong understanding of HRSD data model, workflows, and employee service portal concepts
• Experience in configuring and customizing ServiceNow HRSD features including Case Management, Lifecycle Events, Knowledge, and Service Portal
• Proficiency in scripting: Business Rules, Client Scripts, UI Actions, UI Policies, and Script Includes
• Experience developing integrations with external HR systems (Workday, SAP, etc.)
• Excellent problem-solving, analytical, and communication skills
• Ability to work effectively with cross-functional teams

• ServiceNow HRSD certifications
• Experience with Agile/Scrum delivery models
• Knowledge of ITSM modules (Incident, Change, Problem) for cross-module integration
• Familiarity with ServiceNow upgrade processes and best practices

• Develop, train, and deploy machine learning and deep learning models across diverse business domains.
• Work on data preprocessing, feature engineering, model experimentation, and evaluation.
• Support model deployment, monitoring, and MLOps workflows to ensure stable production performance.
• Collaborate with product, data, and engineering teams to translate insights into scalable, deployable ML solutions.
• Contribute to building reusable ML components and improving end-to-end ML pipelines.

• Opportunity to work on impactful ML solutions with real-world business applications.
• Exposure to a wide range of machine learning, deep learning, and MLOps technologies.
• Collaborative environment where you can influence model design, deployment strategy, and ML architecture.
• Chance to work across the full ML lifecycle — from experimentation to production.
• A culture that encourages continuous learning, innovation, and the adoption of modern ML tools and practices.

• Strong proficiency in Python for machine learning and data engineering tasks.
• Hands-on experience with core ML libraries such as scikit-learn, XGBoost, and LightGBM.
• Experience working with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Solid understanding of data handling tools — NumPy and pandas.
• Ability to create visualizations using Matplotlib, Seaborn, or Plotly.
• Experience in Natural Language Processing (NLP), including text preprocessing, embeddings, and transformer-based techniques.
• Familiarity with MLOps tools such as MLflow, Docker, or cloud-based ML services (AWS SageMaker, Azure ML, GCP Vertex).

• Knowledge of React or Angular for model visualization or UI integration.
• Experience working with public cloud platforms (AWS, Azure, or GCP).
• Understanding of CI/CD concepts and automated ML pipelines.

• Act as an L3 Support Engineer for Mendix applications, handling production incidents, major escalations, and critical issues.
• Perform root cause analysis (RCA) and implement permanent fixes to prevent recurring incidents.
• Troubleshoot and optimize Mendix components, including microflows, nanoflows, domain models, security configurations, and integrations.
• Support Mendix Cloud and Private Cloud environments, including deployments and production releases.
• Work closely with L1/L2 support teams, developers, and infrastructure teams to ensure seamless issue resolution.
• Manage data fixes, database-related issues, and performance tuning activities.
• Monitor application health using logs, debugging tools, and performance metrics.
• Ensure SLA adherence and follow ITIL processes for Incident, Problem, and Change Management.
• Maintain support documentation, SOPs, runbooks, and knowledge articles.
• Participate in on-call rotations and provide production support as required.

• Be at the forefront of mission-critical production systems and high-impact problem solving.
• Work in a collaborative, cross-functional environment with support, development, and cloud teams.
• Gain hands-on exposure to Mendix Cloud, Private Cloud, and CI/CD pipelines.
• Strengthen your expertise in low-code platforms, integrations, and performance optimization.
• Be part of a fast-paced, DevOps-oriented culture that values ownership and continuous improvement.

• Strong hands-on experience with Mendix application development and support.
• Expertise in REST and SOAP integrations, with hands-on experience in JSON and XML.
• Solid database knowledge, preferably PostgreSQL, including data analysis and fixes.
• Proven experience in debugging, logging, and performance monitoring in production environments.
• Experience working with CI/CD pipelines and version control systems such as Git.
• Ability to analyze complex production issues and drive them to resolution.
• Strong communication skills and experience working in 24×7 or on-call support models.

• Mendix Certification (Intermediate or Advanced).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience working in Agile and DevOps environments.
• Knowledge of ITIL best practices and service management tools.

What will your role look like

• Act as a Senior Technical Support Engineer providing expert-level technical assistance to customers via phone and email.
• Troubleshoot and resolve complex issues across software applications, APIs, integrations, infrastructure, cloud, and hardware environments.
• Reproduce issues, perform root cause analysis, and collaborate closely with Engineering and Product teams on bug fixes and feature enhancements.
• Lead or participate in incident management and on-call rotations for critical production issues.
• Serve as a customer advocate by triaging issues to internal teams and third-party vendors, ensuring resolution within defined SLOs.
• Support resellers by staying current with platform features and acting as a subject matter expert for diagnostics and issue resolution.
• Identify recurring support trends and contribute to long-term product and process improvements.
• Maintain accurate case records and status updates in ticketing systems.
• Create and maintain technical documentation, runbooks, and FAQs.
• Work closely with cross-functional teams and vendors to ensure timely issue resolution.

Why you will love this role

• Opportunity to work on complex, real-world technical challenges across modern SaaS, cloud, and API-driven platforms.
• High-impact role where your expertise directly influences customer success and product improvement.
• Strong collaboration with Engineering, Product, and Customer-facing teams.
• Continuous learning environment with exposure to new technologies and evolving systems.
• A fast-paced, customer-first culture that values ownership, accountability, and technical excellence.
• Ability to make a meaningful difference by improving both customer experience and internal processes.

We would like you to bring along

• 4–7+ years of experience in technical support, solutions engineering, or a similar customer-facing technical role.
• Strong hands-on experience with SaaS platforms, APIs, databases, and scripting (Python, Shell).
• Experience working with cloud services such as AWS and Azure.
• Solid understanding of web technologies, integrations, and system architecture.
• Experience with ticketing systems (e.g., Zendesk, Jira) and knowledge base tools.
• Strong troubleshooting, analytical, and problem-solving skills with the ability to communicate clearly under pressure.
• Excellent verbal and written communication skills with a strong customer-first mindset.
• Ability to prioritize effectively, manage customer expectations, and execute efficiently in a fast-paced environment.
• Willingness to work flexible hours, including some weekends, to support a 24×7 business.

Good-to-have skills

• Experience working with web servers and databases such as Apache, IIS, MySQL, MSSQL, and PostgreSQL.
• Knowledge of application protocols including DNS, HTTP, HTTPS (SSL), and FTP.
• Basic experience working in Linux environments.
• Familiarity with API and web service technologies such as REST, JSON, and OAuth.
• Prior experience supporting resellers or working with third-party vendors.
• Exposure to incident management, on-call rotations, or SRE/DevOps practices.
• Secondary degree or relevant technical certifications.

• Partner with internal business stakeholders to understand requirements and design scalable SAP BTP solutions aligned with the Clean Core principle and SAP BTP Guidance Framework.
• Architect and implement side-by-side extensions using SAP CAP (Node.js) on SAP BTP to enable clean-core compliant solutions.
• Provide overall architectural leadership across SAP BTP services, including SAP Build Process Automation and Advanced Event Mesh.
• Design and implement seamless integrations between SAP BTP and SAP S/4HANA using APIs and event-driven architectures
• Collaborate with cross-functional teams to integrate SAP BTP with other enterprise systems and applications.
• Ensure security, authorization, compliance, and performance considerations are embedded into solution designs.
• Work closely with Enterprise Architecture teams and SAP Solution Architects to execute SAP BTP strategies.
• Lead or contribute across the full project lifecycle, from requirement clarification and design to deployment and stabilization.
• Provide ongoing guidance and support for BTP platform run activities, while staying up to date with emerging SAP BTP capabilities and industry best practices.

• Play a key role in shaping the organization’s SAP BTP and Clean Core strategy.
• Work on cutting-edge SAP cloud technologies and modern, event-driven architectures.
• Collaborate with senior stakeholders and architects across business and IT.
• Influence solution standards and architectural frameworks across enterprise initiatives.
• Enjoy a role that blends hands-on technical design, strategic thinking, and client engagement.

• Strong hands-on experience delivering solutions on SAP Business Technology Platform (BTP).
• Proven expertise in SAP CAP side-by-side extensions (Node.js) on SAP BTP.
• Solid understanding of SAP Clean Core methodology and architectural principles across cloud and on-premise landscapes.
• Experience working with SAP Build Process Automation and Advanced Event Mesh.
• Good knowledge of SAP S/4HANA architecture and functionality, including ABAP.
• Experience designing secure and compliant SAP BTP architectures, including authorization concepts.
• Ability to design new architectural frameworks and drive their adoption.
• Excellent communication and stakeholder management skills with a client-facing mindset.
• Self-driven attitude with strong problem-solving capabilities and collaboration skills.
• Professional proficiency in English.

• Fluency in German.
• Exposure to emerging technologies such as AI within SAP ecosystem (e.g., SAP Joule, Agentic frameworks).
• Experience working in complex enterprise environments with multiple SAP and non-SAP integrations.

What Will Your Role Look Like

Support data cleansing, transformation, and migration activities from Oracle iProcurement/Ariba (or similar systems) into Oracle Cloud ERP.

Work closely with Procurement, Global Operations, and IT teams to manage Indirect and Direct Procurement data.

Configure and implement Oracle OTBI modules to meet business requirements.

Conduct system testing, support user acceptance testing, and prepare relevant documentation.

Generate reports, perform data analysis, and provide post-implementation support.

Assist senior team members in various procurement “run-the-business” activities.

Why You Will Love This Role

You’ll work with a global team on high-impact data and reporting initiatives.

Opportunity to work with modern technologies including Oracle Cloud ERP, OTBI, PL/SQL, and advanced Excel automation.

Exposure to large-scale transformation projects and cross-functional collaboration.

A role that blends analytical, technical, and business problem-solving—ideal for someone who enjoys variety and ownership.

We Would Like You to Bring Along

Strong oral and written communication skills; ability to create detailed process and feature documentation.

Excellent analytical, problem-solving, organizational, and project/task management skills.

Advanced expertise in Oracle PL/SQL (queries and scripting).

Advanced Microsoft Excel skills (complex formulas, macros using VBA or Office Scripts).

Experience supporting data cleansing, conversion, and migration processes.

Ability to configure and implement Oracle OTBI solutions.

Hands-on experience with system testing, user training, and UAT support.

Familiarity with Agile methodologies, systems analysis, and requirements management.

Basic to intermediate programming or scripting knowledge.

Good-to-Have Skills

Experience with Tableau, Power BI, Snowflake, or other BI tools.

Knowledge of supplier qualification processes and best practices.

Exposure to Oracle supply chain applications.

Oracle Supplier Management or related certifications.

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field—or equivalent experience.

Minimum 7 years of professional experience; 8–9 years preferred.

Prior experience implementing/configuring Oracle OTBI and related Oracle modules.

What Will Your Role Look Like

• Develop end-to-end data science and GenAI solutions for enterprise data products.
• Design, build, and deploy predictive models, advanced ML algorithms, and GenAI systems that drive actionable insights.
• Collaborate with business teams to understand analytics needs and translate them into technical solutions.
• Work on RAG pipelines, knowledge graphs, and hybrid AI search systems.
• Conduct research, rapid prototyping, and experimentation on state-of-the-art AI/ML/LLM technologies.
• Monitor and optimize model performance in production using modern MLOps practices.
• Mentor junior team members and contribute to best practices in AI/ML development.

Why You Will Love This Role

• Opportunity to work on cutting-edge AI/ML and GenAI technologies like LLMs, LangChain, vector DBs, and advanced deep learning frameworks.
• Freedom to innovate, experiment, and build industry-leading AI solutions.
• Work in a collaborative environment with product managers, architects, and cross-functional teams.
• Access to enterprise cloud ecosystems such as AWS, Azure, or GCP for full-scale model development and deployment.
• Be part of impactful AI initiatives that directly contribute to business growth and digital transformation.
• Culture that values entrepreneurial mindset, proactiveness, and innovation.

We Would Like You to Bring Along

• 5+ years of experience in data analytics, data science, AI/ML, or NLP roles.
• Strong proficiency in Python (mandatory) or R.
• Hands-on experience with traditional and modern ML techniques—Regression, Classification, Ensemble models, Deep Learning, NLP/NLU, Forecasting, Anomaly Detection.
• Expertise with deep learning frameworks: TensorFlow or PyTorch.
• Experience building GenAI solutions using LangChain/LlamaIndex and modern LLM models (OpenAI, Mistral, Llama, Anthropic, etc.).
• Strong understanding of model evaluation, validation, and alignment with business objectives.
• Experience with SQL, Pandas, Spark, and feature store technologies (Feast/Tecton).
• Cloud expertise with AWS/Azure/GCP, ideally including AI services, SageMaker, Vertex AI, or Bedrock.
• Familiarity with MLOps tools like MLflow, Kubeflow, SageMaker pipelines.
• Ability to translate business problems into analytical solutions with a strong ownership mindset.
• Fluent in English and comfortable working in Agile environments.

Good-to-Have Skills

• Knowledge of multi-modal AI (vision-language, diffusion models, speech AI).
• Experience with knowledge graph construction and semantic search.
• Prior experience with domain-specific model fine-tuning or custom pipeline orchestration.
• Contributions to open-source AI/ML projects, publications, or participation in AI communities.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, Milvus.