Job Description

As a Databricks Engineer, this role offers the opportunity to work with a team in building, optimizing, and maintaining data analytics solutions using Azure cloud services and the Databricks platform.

Key responsibilities:

• Provide technical expertise on integrating Databricks with Azure and optimizing data processing workflows
• Collaborate with stakeholders to translate business requirements into technical solutions
• Implement DevOps practices using Azure DevOps for project management and deployment automation
• Ensure adherence to security and monitoring best practices in the production environment

Qualifications

Must have:

• Bachelor's degree in Computer Science, Engineering, or related field
• Experience in SQL, Python, PySpark, and Databricks
• Strong understanding of cloud services, particularly Azure Databricks and Azure SQL
• Certifications in Azure or Databricks are preferred
• Strong problem-solving and analytical skills
• Ability to effectively communicate technical concepts to non-technical stakeholders
• Proven track record of leading development teams and delivering successful projects
• Continuous learning mindset to keep up with the latest technologies and best practices

Nice to have:

• Experience with Azure DevOps for version control and CI/CD pipelines
• Knowledge of Azure Web Apps, .NET, Azure Functions, Azure Automation, Azure Logic Apps, and Azure Event Hubs

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Job Description

As a Machine Learning Engineer, you will play a crucial role in designing, developing, and deploying cutting-edge machine learning solutions. Your work will impact millions of users, specifically in the field of natural language processing (NLP), cloud-based applications, and deep learning.

Key responsibilities:

• Design and develop machine learning models, algorithms, and systems
• Implement appropriate ML algorithms for tasks such as NLP, recommendation systems, and computer vision
• Conduct experiments and analyze data to improve model performance
• Optimize algorithms for scalability, efficiency, and accuracy
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts
• Stay up-to-date with the latest advancements in machine learning and AI
• Leverage cloud services (such as Azure, AWS, or Google Cloud) for model deployment and scalability
• Explore and apply GenAI techniques to enhance model capabilities

Qualifications

Must have:

• Bachelor’s or master’s degree in computer science, data science, or a related field
• Strong programming skills in languages like Python or R
• Proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with NLP techniques, including text classification, sentiment analysis, and named entity recognition
• Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Familiarity with cloud platforms and services
• Excellent problem-solving abilities and analytical thinking
• Good command of English

Nice to have:

• Contributions to open-source projects or research publications
• Experience with distributed computing and big data frameworks
• Certifications related to machine learning or cloud platforms

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Job Description

We are looking for a skilled Data Scientist to join our Generative AI team to build LLM-based enterprise solutions. Main responsibilities would be testing, fine-tuning and deploying generative AI models, in addition to collaborating with cross-functional teams to define project requirements and objectives, ensuring alignment with overall business goals.

Responsibilities:

• Conceptualize, prototype, and work with state-of-the-art LLMs to drive technical solutions
• Enhance and innovate existing model completions with prompt engineering or prompt tuning techniques
• Develop performance monitoring and evaluation pipelines to ensure the quality and effectiveness of generative models
• Stay up-to-date with the latest research and advancements in Generative AI and actively contribute to upskilling of the team

Qualifications

Must have:

• Minimum of BSc or higher degree in STEM subject 
• Proficient in Python
• Solid knowledge of machine learning concepts (model training, hyper parameter optimisation, experiment tracking, learning curves, etc.) with a focus on NLP and Gen AI
• Familiarity with RAG-based chatbots
• Experience with large language models - chatgpt, llama, falcon, BARD, etc.
• Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, LangChain etc.
• Familiarity with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
• Can conceptualise, formulate, prototype and implement algorithms to solve technical problems.
• Writing and debugging Python/SQL code adhering to best coding practices (debugging, unit testing, etc.)
• Data Wrangling skills (NULLs, duplicates, outliers, regex cleaning, etc.)
• Example of building models and data pipelines.
• Experience with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
• Experience with large language models - GPT3, Word2Vec, GloVe, BERT, etc.
• Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, etc.
• Experience with version/source control using Git.
• Experiment tracking (using mlflow, comet, Neptune, tensorboard, weights & biases, sagemaker, etc.)

Nice to have:

• Experience with cloud platform, particularly Azure
• Experience deploying machine learning models through REST API
• Understanding of Agile methodologies

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Job Description

As Azure Data Architect You will be delivering a high quality and innovative data driven solution to our client’s advance analytical needs. This will include, working within a team on the clients site: understanding the client’s pain, designing an analytical approach, implementing a solution, ensuring it is of high quality, and leading and mentoring multi discipline technology teams

Your Key Result Areas:

• You will be a part of experienced onsite consulting/delivery teams developing & providing architectures for a highly resilient, fault tolerant, horizontally scalable data platform.
• Will build multiple layers within the platform around Data Ingestion, Integration, Metadata Management, Data security and data presentation
• Working with the client Architects to refine ideas on the Analytics Architecture and help with standards and guidelines.
• Building a Data Engineering community and helping customers/clients to build centre of excellence for engineering.
• Ensuring development teams deliver the highest quality data products through the adoption and continuous improvement of patterns and practices, tools and frameworks and processes.
• Applying years of experience and expertise to help teams resolve and overcome technical challenges of any size or complexity and assist where necessary to accelerate problem resolution.

Qualifications

Must have:

• You will be a skilled Architect helping customer teams to design, strategize and build the data foundations to drive Analytics business use cases on Azure.
• You will engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. ADF, Databricks, Spark, Python, PySpark, Synapse, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS
• Strong experience in building data transformation techniques using Spark and DataBricks.
• You will design the architecture to Ingest and integrate data from a large number of disparate data sources
• You will design and build complex data processing solutions both in batch & real time use cases. Knowledge in Kafka/Spark is a value add but experience in EventHub/Stream Analytics is needed for designing real time solution.
• You will work closely with analysts, data scientists and technology partners to understand their requirements
• You will exercise fluid communication with your team of data engineers and analysts
• You will enthusiastically evolve your technical skillset, engage in training, and learn new technologies and techniques
• You will work comfortably in an agile and fast paced environment.
• Able to compare between best of technologies by layer – e.g., stream processing, messaging, search, etc.
• Comes with strong experience in delivering Data Solutions using Big-Data technologies and cloud platforms
• Suggest the architecture which incorporates Security controls around authentication, authorizations, and encryption
• Recommend the migration tools and design data migration strategy
• Design and implement Metadata management and data catalogs process on top of the built Azure Data Platform

Nice to have:

• Experience in Architecting multi cloud solutions
• Experience in delivering big data solutions using a leading Hadoop distribution like Cloudera, Snowflake Knowledge of RDBMS, ETL and Data warehouse technologies

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Job Description

As Azure Data Engineer you help the team in setting-up a new DWH environment in Microsoft Azure and deliver the existing on premise data ingestion and data analytics functionality in Azure cloud. You also contribute to fine-tuning the Target architecture with best suitable tools / technologies. In addition to hands-on, you help / guide the team with best practices, technology standards, possible automations etc. in Azure cloud architecture.

Qualifications

Must have skills:

• 5-10 years of experience primarily in Cloud Data engineering, Data warehousing projects
• Experience in Microsoft Azure enterprise Data Lake platform with
  • Azure Data Lake Storage
  • Azure Data Factory
  • Azure Data Factory Dataflow
  • Databricks using Python
  • Azure Functions
  • Azure SQL DB / Synapse
• Experience working in Python and PowerShell
• Experience in building and deploying pipelines in Azure DevOps
• Familiarity with Azure security services – Active Directory, Azure Key Vault, Managed Identities, RBAC, Firewall on VNET & SubNets
• Extensive experience in software development in an agile DevOps environment
• Good communication & interfacing skills and able to work in a structured manner
• Strong in collaboration , Flexibility and showing entrepreneurship
• Eager to be open, learn, advice & implement new technologies
• Good command of English

Nice to have skills:

• Development of APIs to expose data through REST APIs
• Knowledge on Big Data batch and stream ingestion (Lambda architecture)
• Fair knowledge of Data modelling (specifically Dimensional modelling)

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Job Description

As a Snowflake Architect/ Senior Consultant, you will be responsible for bringing best snowflake consulting, innovation, thought leadership, cost savings measure for large scale snowflake implementation in the industry. You will be directly engaging with customer to drive value and provide right consulting to help growing team size as expert group.

Qualifications

• Having 3 years of strong Snowflake experience with ability to architect Snowflake technological solutions
• Expertise on Snowflake development (Procedures).
• Candidate must be Snow Pro certified (SnowPro Advanced: Architect / SnowPro Advanced: Data Engineer)
• Strong skills in databases, data warehouses and data processing
• Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology.
• Proven track record of Snowflake performance tuning and cost savings measures
• Design and build solutions using industry standard technologies and work with solution architects to ensure solutions align with technology direction. Lead by example, role-modeling best practices for testing, performance testing, sandboxing, capacity planning, monitoring, CI/CD, and innovation.
• Ability to write complex ETL /ELT logics in SQL and fine tune for best possible snowflake performanc to cost ratio
• Experience in cloud data engineering technologies (AWS / Azure / GCP)
• Build data pipelines in cloud for data transformation and aggregation.
• Analyze and bring opportunities for innovation and automation
• Expertise in software development life cycle and delivery methodologies
• Good understanding of Data modelling methodologies (3NF, Data Vault & Dimensional)
• Familiarity with common BI and data exploration tools (e.g. Tableau
• Good command of Englishs

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Job Description

As a Snowflake Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and solutions using Snowflake. You will work closely with data architects, data scientists, and business stakeholders to ensure the efficient and effective use of data. Your role will involve building scalable data solutions, optimizing performance, and ensuring data quality and security.

Key Responsibilities:

• Design and develop data pipelines and ETL processes using Snowflake.
• Collaborate with data architects and business stakeholders to understand data requirements and translate them into technical solutions.
• Implement data models, data warehouses, and data marts in Snowflake.
• Optimize Snowflake performance, including query performance tuning and resource management.
• Ensure data quality, data governance, and data security best practices are followed.
• Troubleshoot and resolve data-related issues, ensuring timely and effective solutions.
• Develop and maintain documentation for data pipelines, data models, and data processes.
• Provide technical support and guidance to team members and stakeholders.
• Lead and execute data migration projects, including migrating data from legacy systems to Snowflake.
• Develop and implement strategies for data migration, ensuring minimal downtime and data integrity during the migration process.
• Design and implement data lake solutions, integrating them with Snowflake to support large-scale data storage and processing.

Qualifications

Must have:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience in designing and developing data solutions using Snowflake.
• Strong knowledge of SQL and ETL processes.
• Experience with data modeling, data warehousing, and data integration.
• Proficiency in scripting languages such as Python or Java.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and interpersonal skills.
• Ability to work collaboratively in a team environment.
• Good command of English

Nice to have:

• Exposure to data governance best practices is a plus
• Certification in Snowflake is an advantage

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Job Description

We are looking for an experienced Data Architect to join our team. You will play a critical role in achieving our business objectives by working closely with business leaders and developing relationships with senior stakeholders. You will be responsible for client engagement success from solutioning through delivery, focusing on providing innovative solutions and adding real value to our clients. We seek Data Architects experienced in Cloud Transformation engagements.

Responsibilities:

• Design data models and metadata systems. Source to Target Data Mapping documentation.
• Provide oversight and advice to other data architects who are undertaking the design of data models and support the management of data dictionaries
• Make sure that your teams are working to the standards set for the organisation by the chief data architect
• Work with technical architects to make sure that an organisation’s systems are designed in accordance with the appropriate data architecture
• Undertake design, support and provide guidance for the upgrade, management, de-commission and archive of data in compliance with data policy
• Provide input into data dictionaries.
• Define and deliver the data strategy roadmap for the enterprise.
• Drive solutioning for complex deals involving multiple service lines and domains as part of RFI, RFP and informal deal processes, leading a cross functional team of service line experts drawn from their respective domains to drive alignment of solution deliverables to client objectives
• Build relationships and credibility with clients during the sales cycle
• Develop business case and collaterals for Transformational Initiatives
• Define solution vision and direction building on synergies and benefits across service lines and technologies
• Envision a transformation roadmap that aligns with the strategic and tactical direction of the client
• Drive the translation of complex business initiatives into innovative business-technology solutions and ensure consistency across traditional solution boundaries
• Drive structured deals by providing consultation to key clients in defining or designing business processes, functions and technology journeys
• Research, identify and internally market enabling technologies based on client requirements assisting clients through their journey from ideation to execution creating win-win solution
• Define solution vision and direction building on synergies and benefits across service lines and technologies
• Work with Business Stakeholders and Project Managers to understand inefficiencies in clients’ existing business processes and applications and recommend solutions
• Guide clients on change management and risk management as part of the deal process
• Participate, and where necessary lead, in governance meetings to ensure that the risks and mitigation steps are identified and implemented
• Foster an innovative culture within the team
• Understand the client’s requirements, pain points and arrive at a customized solution by rightly positioning Cognizant assets
• Collaborate with technology groups and other alliances to bring best practices on various technologies and tools
• Participate in partner forums and evangelizing technology capabilities of Cognizant

Qualifications

Must Have:

• Proven experience as a Data Architect or similar role
• Experience in Data analysis and synthesis, communication, governance, innovation, modelling and data standards
• Strong experience in Cloud Transformation engagements
• Relevant experience from an IT or management consultancy
• Solid experience in complex deal solutioning and running structured deals
• Experience in leading complex, cross-functional initiatives
• Strong knowledge of information systems from a holistic perspective
• Experience providing technology leadership in complex projects and programs
• Ability to interact with clients and stakeholders at all levels
• Excellent interpersonal and communication skills (both oral and written)
• Highly developed critical thinking, interpretative, and analytical skills
• Flexibility to travel across the UK and occasionally further
• Security clearance is required
• Experience working in a Public Sector domain
• Client-sensitive communication skills

Nice to Have:

• Desired licenses or certifications required by the position: TOGAF, AWS, CEA, DAMA, MDM, EDW
• Expertise or exposure to the following skillset:
  • AWS Cloud, Data Virtualization, Cloudera, BI, Datawarehouse, ETL, Pentaho & Talend, Spark, Big Data, Data Lake, Data bricks, Azure Platform & Data Factory

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Job Description

As an MSBI Engineer, you will help clients transform their business, mostly driven by digital opportunities and technology. In a typical program you are working at the intersection of business and technology with a sound understanding of the business drivers and the capabilities of IT and how these can contribute to run an organization better or different.

You will be working in a fast paced Agile environment and expected to facilitate, guide, and influence the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams. You would be expected to complex design and high performance architecture in MSBI stack.

Qualifications

• At least 10 years of experience in at least two components of MSBI Stack (SSIS/SSAS)
• Excellent understanding of MSBI Architecture and MS SQL Server Architecture
• Exposure to DevOps
• Experience in the support and maintenance process (Incident and ticket handling)
• Ability to lead a team and interact with various stakeholders
• Experience with source control tool such as GitHub and SourceTree
• Experienced in working in projects following Agile methodology
• Exposure to Cloud technologies (AWS, Snowflake, Azure etc.) and Visualization tools (Tableau) is great to have

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Job Description

As an AWS Architect , you will help clients transform their business, mostly driven by digital opportunities and technology. In a typical program, you are working at the intersection of business and technology with a sound understanding of the business drivers and the capabilities of IT and how these can contribute to run an organization better or different.

You will be working in a fast-paced Agile environment and expected to facilitate, guide, and influence the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams. You would be expected to complex design and high performance architecture in Cloud and Big Data technologies.

Responsibilities:

• Design next generation cloud native solutions with Azure PAAS services leveraging AWS storage and messaging services such as Service Bus Topics, AWS Kinesis, Kafka and AWS Redshift, S3, Databricks and Athena and Elastic storage, etc.
• Implement containerized microservices solutions with AWS Kubernetes Services and Docker
• Plan and design data movement and data virtualization from legacy monolithic databases to modern cloud native storage solutions such as S3, Redshift, Elastic Storage, DynamoDB, RDS
• Design event driven architectures with Step Functions, Glue, Spark Pipelines
• Shape the cloud transformation solutions for large scale cloud migration and modernization opportunities with immense passion and energy to win new business and expand adoption of AWS Cloud services
• Understand client’s business drivers and priorities and design solutions that address cost optimization, business agility and technology modernization

Qualifications

Our ideal candidate:

• Architect solutions for Cloud Modernization and Migrations of Large Scale Application Portfolios including patterns and approaches for incremental move to cloud, data modernization and working in hybrid cloud environment
• Data Architect with real world experience in the design, management and delivery of large-scale Data Warehousing, Data Lake and transformational Data projects
• Experience with Data Architectural Principles, Standards, and approaches
• Use Cloud design best practices and design patterns such as. to create highly scalable solutions
• Apply Domain Driven Design concepts for designing Micro-services and API strategy
• Integrate CI/CD and continuous testing practices with DataOps and MLOps constructs into the Data and AI engineering lifecycle
• Deep understanding of AWS Security landscape including Application Security, Data Security, Compliance, etc
• Excellent communication skills and client facing skills

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Job Description

We are seeking a skilled Cloud Engineer to join our team. The ideal candidate will be responsible for the setup and deployment of required infrastructure in Amazon AWS for data quality assessments and implementing basic cloud functionalities like serverless code and integrations.

Responsibilities:

• Automated multi-stage and multi-region deployments of AWS infrastructure using Terraform
• Implementation and maintenance of a multi-level CI/CD pipeline infrastructure using several GitLab repositories, Linux build servers, Bash scripts, and Docker builds
• Maintain IBM ODM components running as serverless Fargate services using self-composed Docker images and connections to other AWS services
• Develop technical documentation to accurately represent application design, processes, and code
• Setup integration with data pipeline to feed datasets into rules engine
• Setup integration with Logging & Monitoring framework
• Reduce redundancies in storage and processing
• Setup integration with metadata management solution (using AWS Glue)
• Analyze, setup, and maintain AWS cloud infrastructure including ECS tasks and services, RDS databases, Lambda functions, APIs and models, Route 53 DNS zones, EC2 instances, Docker repositories, and security roles and policies

Qualifications

Must Have:

• Proficiency in Amazon Web Services (AWS)
• Experience with AWS Glue
• Experience with CI/CD pipeline tools (e.g., GitLab, Jenkins)
• Strong understanding of cloud security best practices
• Experience with serverless architectures (e.g., AWS Lambda)
• Bachelor’s or Master’s degree
• Good problem-solving skills and attention to detail
• Effective communication skills in English

Nice to Have:

• Experience with Python
• AWS Certifications
• Familiarity with other cloud platforms (e.g., Azure, Google Cloud)
• Knowledge of data integration and ETL processes
• Experience with monitoring and logging tools (e.g., CloudWatch, ELK stack)
• Experience with Terraform for infrastructure as code

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Job Description

We are seeking an experienced Data Engineer specializing in MS SQL Server to design, develop, and optimize database solutions for our Customer while ensuring data integrity and security. This role involves working closely with stakeholders to understand data requirements and implementing robust solutions using modern tools like Databricks and Data Factory.

Key Responsibilities:

• Design, develop, and maintain SQL Server databases to meet business requirements.
• Optimize database performance and troubleshoot complex data issues.
• Collaborate with stakeholders to define and refine data requirements.
• Monitor and tune production systems to ensure optimal performance and reliability.
• Ensure data integrity, security, and compliance across all systems.

Qualifications

Must-Have:

• Minimum 6+ years of experience as a Data Engineer or in a related role.
• Strong expertise in MS SQL Server, T-SQL, and database design principles.
• Proven hands-on experience with Databricks and Data Factory (minimum 1 year).
• Excellent problem-solving and analytical skills.
• Strong understanding of data integrity and security best practices.

Nice-to-Have:

• Experience with modern data warehousing and analytics solutions.
• Familiarity with cloud platforms like Azure for database management.
• Knowledge of data governance frameworks and compliance standards.
• Experience in performance tuning and optimization techniques for large datasets.
• Strong communication skills to effectively collaborate with technical and non-technical stakeholders.

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Job Description

We are seeking a skilled Full Stack Engineer with a strong background in Kotlin to develop and maintain mobile and back-end applications. You will work closely with a team of architects, designers, and developers to enhance the user experience and ensure high performance for mobile applications. This role involves collaboration, innovation, and troubleshooting to continuously improve the functionality and UX/UI of our applications.

Key Responsibilities:

• Develop, build, test, and maintain mobile and back-end applications using Kotlin
• Collaborate with UX/UI designers to brainstorm new ideas and enhance user experience
• Create and optimize presentation-tier code (HTML/CSS/JavaScript) with libraries and plugins as needed
• Troubleshoot and resolve production issues to maintain high availability and performance
• Work closely with Mobile Architects and other team members to align on design and development strategies

Qualifications

Must Have:

• Write presentation-tier HTML/CSS/JavaScript, React JS using Lit libraries and plug-ins where necessary
• Brainstorm new ideas, improve UX/UI and fix bugs
• Ensure optimization of the Web based applications developed Work closely with the Architects, UX/UI Designers and other team members
• Perform troubleshooting and resolving of production issues

Nice to Have:

• Develop, build, test and maintain Web based UI and back-end applications using Kotlin
• Familiarity with UI/UX principles and best practices for mobile applications
• Experience with mobile architecture and optimization techniques
• Background in agile development methodologies
• Exposure to cloud services and CI/CD practices for mobile development

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Job Description

We are seeking a Full Stack Developer to join our Customer R&D Tech team and contribute to the enhancement of an internal framework. This role involves automating processes, API integration, and collaborating with a distributed team across different regions. The ideal candidate will possess strong technical skills and effective communication abilities to work within a dynamic, cross-functional team.

Qualifications

Required Skills:

• Solid experience in Python development, particularly for automation
• Solid experience in JavaScript for frontend or full-stack development
• Strong knowledge of API development and integration
• Proficiency with SQL for database management and querying
• Comfortable working in Linux environments for deployment and debugging
• Familiarity with StackStorm or similar automation frameworks (preferred)
• Experience with version control systems (e.g., Git)
• Good English language skills, both written and verbal

Nice to Have:

• Experience with Mendix, Jira, or ALM (Application Lifecycle Management) tools
• Familiarity with Docker and containerized environments
• Understanding of Kubernetes for orchestration and container management
• Experience with Azure DevOps and the Azure Portal for CI/CD and cloud management

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Job Description

We are looking for a Senior Python Developer w to contribute to maintaining, troubleshooting, and enhancing containerized systems. This role involves working on Linux environments, supporting users, and ensuring the reliability of databases and networking infrastructure. The ideal candidate is skilled in Python development, containerization, and debugging complex systems.

Key Responsibilities:

• Lead and contribute to the migration of codebases from Python 2 to Python 3.
• Develop, debug, and maintain Python-based applications.
• Manage and troubleshoot containerized environments using Docker.
• Perform Linux system administration and command-line operations.
• Debug and resolve issues across systems, ensuring reliability and performance.
• Work with networking protocols to optimize infrastructure.

Qualifications

Must-Have:

• Minimum 5 years of experience in Software development using Python
• Proficiency in Python programming and debugging
• Experience with containerization and managing Docker environments
• Strong Linux command-line and system administration skills
• Proven experience providing technical support to users/customers
• Competence in database management and SQL query writing
• Strong debugging skills across various systems
• Basic understanding of networking principles and protocols
• Good English language skills, both written and verbal

Nice-to-Have:

• Familiarity with Docker Swarm or other container orchestration tools
• Experience in web development, especially with Django and JavaScript
• Knowledge of CI/CD pipelines using Jenkins
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, InfluxDB)
• Experience working with and maintaining legacy systems
• Understanding of distributed system architectures

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Job Description

We are seeking a GCP Infrastructure Engineer to design, build, and maintain scalable, secure, and efficient Google Cloud Platform (GCP)-based solutions for our multinational Customer. The role involves setting up infrastructure, developing a microservices-based API framework in Golang, and ensuring robust security and governance practices. The ideal candidate has expertise in cloud infrastructure, API development, and CI/CD processes.

Key Responsibilities:

• Designing and implementing scalable, reliable, and secure GCP-based solutions to meet clients' business requirements 
• Advising clients on the best practices and optimal use of GCP services and features 
• Building and maintaining GCP infrastructure, including virtual machines, storage, and networking components 
• Automating deployment and management of GCP resources using tools like Terraform and Ansible 
• Monitoring and troubleshooting GCP infrastructure, applications, and services 
• Collaborating with cross-functional teams to design and implement end-to-end solutions that leverage GCP services 
• Staying up to date with GCP offerings and new features, and recommending improvements to existing solutions 
• Ensuring compliance with security and regulatory requirements 
• Developing and maintaining documentation related to GCP architecture, configurations, and processes 
• Client wants to build an API based framework in Golang, this framework should be in microservices architecture. 
• Experience in integration of Cloud IAM ang Azure AD. Setting up data, network and infra security and right Governance for continuous management. 

Qualifications

Must Have:

• 8+ years of commercial experience in software development or software architecture
• Strong experience with Google Cloud Platform (GCP) infrastructure and services.
• Proficiency in Golang for API development within a microservices architecture.
• Experience with CI/CD tools and pipelines.
• Familiarity with integrating Cloud IAM and Azure AD for secure access management.
• Expertise in infrastructure automation using tools like Terraform and Ansible.
• In-depth knowledge of data, network, and infrastructure security practices.
• Strong understanding of scalable and reliable cloud architecture design.
• Prior experience in documenting technical architectures and processes.
• Experience in setting up governance for continuous management and compliance.
• Excellent problem-solving and troubleshooting skills.
• Good English language skills, both written and verbal

Nice to Have:

• Experience in Kubernetes for container orchestration.
• Familiarity with observability tools such as Grafana, Prometheus, or ELK Stack.
• Knowledge of serverless technologies or event-driven architectures.
• Hands-on experience in Agile/Scrum environments.
• Familiarity with regulatory compliance in cloud environments (e.g., GDPR, HIPAA).

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Job Description

We are seeking a skilled Full Stack Engineer with a strong background in Kotlin to develop and maintain mobile and back-end applications. You will work closely with a team of architects, designers, and developers to enhance the user experience and ensure high performance for mobile applications. This role involves collaboration, innovation, and troubleshooting to continuously improve the functionality and UX/UI of our applications.

Key Responsibilities:

• Develop, build, test, and maintain mobile and back-end applications using Kotlin
• Collaborate with UX/UI designers to brainstorm new ideas and enhance user experience
• Create and optimize presentation-tier code (HTML/CSS/JavaScript) with libraries and plugins as needed
• Troubleshoot and resolve production issues to maintain high availability and performance
• Work closely with Mobile Architects and other team members to align on design and development strategies

Qualifications

Must Have:

• 4+ years of experience with Kotlin in back-end development
• Proficiency in developing mobile applications with a focus on performance and optimization
• Strong skills in front-end technologies (HTML, CSS, JavaScript) and experience using libraries/plugins
• Ability to troubleshoot and resolve production issues effectively
• Experience collaborating with UX/UI designers to improve user experience
• Great communication skills
• Good English language skills, both written and verbal

Nice to Have:

• Familiarity with UI/UX principles and best practices for mobile applications
• Experience with mobile architecture and optimization techniques
• Background in agile development methodologies
• Exposure to cloud services and CI/CD practices for mobile development

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Job Description

We are seeking an experienced Product Owner to lead the development of new features and enhancements for a global mobile application initiative. In this role, you will work closely with the Global Product Manager to set the vision and roadmap, delivering impactful solutions that enhance the customer experience. This position requires a blend of technical expertise and strong interpersonal skills to collaborate effectively with multiple stakeholders.

Key Responsibilities

• Product Development & Backlog Management: Own and prioritize the product feature backlog, ensuring alignment with business objectives.
• Stakeholder Collaboration: Engage with cross-functional teams, including consumer experience, legal, IT security, and marketing, to gather input and ensure successful delivery.
• Sprint Planning & Roadmap Oversight: Lead sprint planning sessions, backlog refinement, and product release planning, establishing clear expectations for delivery.
• Requirements & Specifications: Define and document detailed product requirements, making sure they are understood and actionable by relevant teams.
• Continuous Improvement: Optimize ways of working, contribute to agile ceremonies, and proactively manage changes to the product roadmap.
• Product Representation: Act as an ambassador for the product, communicating product strategies, goals, and outcomes internally and externally.

Qualifications

Experience

• 5+ years as a Product Owner, managing complex, multi-region projects.
• Proven track record in digital product management, particularly mobile applications (Native/PWA) or customer-focused solutions.
• Experienced in product delivery from ideation through to ongoing maintenance.

Technical & Functional Expertise

• Strong understanding of mobile app delivery and integration patterns.
• Experience working within agile software development frameworks.
• Solid knowledge of systems architecture and IT development processes.

Leadership & Interpersonal Skills

• Skilled in managing relationships and expectations with senior stakeholders.
• Exceptional analytical, problem-solving, and prioritization abilities.
• Experience in regulated industries and familiarity with Data Privacy by design principles is advantageous.

Education

• University degree in a relevant field.

Additional Information

• Scope: Global
• Travel Requirements: Up to 5% of time for project workshops and collaboration

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Job Description

We are seeking a DevOps Engineer to join the team working for our Customer who is a global financial institution. You will be part of a team focused on enhancing and deploying applications that support credit risk rating and financial insight for Wholesale Banking. In this role, you will drive the expansion of risk rating applications for a global rollout and support the team’s journey to full automation of software delivery. You’ll work within a cross-functional team to ensure reliable, secure, and efficient deployments while applying the latest DevOps and SRE practices.

Qualifications

Required skills:

• Strong experience with Linux/Unix system administration.
• Experience with CI/CD tools and automated pipelines.
• Hands-on experience with observability tools like ELK, Grafana, or Prometheus.
• Knowledge of container technologies (e.g., Docker, Kubernetes).
• Scripting skills in Bash and/or PowerShell.
• Familiarity with firewall management and network security practices.
• Knowledge of Git and version control systems.
• Experience with Agile/Scrum and ITIL-based incident/problem management.
• Solid understanding of networking concepts such as DNS and TCP/IP.
• Good English language skills, both written and verbal
• Experience with Ansible for automation and configuration management.
• Knowledge of RDBMS and database management.
• Familiarity with SRE concepts, including SLIs, SLAs, and error budgets.
• Strong problem-solving skills and a proactive approach to system optimization.

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Job Description

We are looking for an experienced Senior C#/.NET Engineer to join our IT team focused on developing next-generation solutions for credit risk rating and financial insight applications. In this role, you will extend the capabilities of our risk rating applications and support the global rollout. You’ll also play a key role in advancing our CI/CD pipeline, automating software deployment, and ensuring reliable, secure solutions for our users.

Key Responsibilities:

• Design and develop reusable code components and libraries
• Collaborate with cross-functional teams to extend risk rating functionalities and support the global rollout.
• Create and maintain CI/CD pipelines
• Work with SQL Server and Oracle databases for data storage and retrieval
• Ensure secure, failure-resistant designs from the start

Qualifications

Must Have:

• 5+ years of experience with .NET / C# development, including development of plug-ins and RESTful APIs
• Proficiency in creating and managing CI/CD pipelines (e.g., Azure DevOps, GitHub)
• Strong experience with SQL Server and Oracle databases
• Understanding of messaging platforms such as Kafka, EMS, ActiveMQ, and/or IBM MQ
• Demonstrated experience in producing reusable code components
• Knowledge of secure coding practices and designing for failure
• Excellent communication skills and a collaborative mindset

Nice to Have:

• Master’s Degree in Computer Science, Mathematics, or comparable work experience
• Experience in the financial industry
• Passion for reactive programming and familiarity with functional programming concepts
• Open-source contributions or an active GitHub profile
• Familiarity with in-house frameworks for back-end development using containers
• Proficiency in other object-oriented programming languages, such as Java

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