Fresh Openings at NTT Ltd.

Your day at NTT DATA

• As a Technology Sales Specialist at NTT DATA, you'll be an expert in your field, driven by the opportunity to transform client relationships and deliver impactful solutions. Your daily role will revolve around identifying and pursuing new opportunities, primarily from a selection of existing accounts, and presenting innovative solutions and comprehensive value propositions that meet our clients' unique needs. Partnering closely with the Client Management team and other internal teams, you'll play a pivotal role in landing qualified leads. As a Sales Specialist, you are also responsible for generating your own pipeline and opportunities within your assigned client base.
• Your expertise in multiple domains or solution sets will allow you to address technical challenges during the sales process, ensuring our offerings are always top-notch. You'll spend a substantial amount of your time engaging directly with clients, uncovering their business goals, and crafting solutions that deliver value beyond just products. You'll support the pre-sales process by collaborating with pre-sales architects to design the best solutions and turn these opportunities into successful projects.
• Building and nurturing relationships with clients at various levels will be key to your success. You will prepare and conduct engaging workshops and presentations, establishing strong connections and securing deals that achieve your sales quotas and targets. By keeping up with the competitive landscape and market trends, you will ensure our strategies and solutions stay ahead of the curve.
• You will develop and maintain clear account plans, identifying and acting on new sales opportunities within accounts. Your ability to collaborate with internal teams to track and manage the scope of work and proposals will drive the seamless execution of the sales strategy. Utilizing sales methodologies and tools, you'll continually check in with primary points of contact and ensure stakeholder buy-in throughout the process.

To thrive in this role, you need to have:

• A proven track record of achieving and exceeding sales and financial goals.
• Proficiency in delivering engaging sales presentations and working effectively in a team-selling environment.
• In-depth knowledge of competitors with the ability to apply successful sales strategies.
• Attention to maintaining accurate sales forecasts and close plans.
• Strong business acumen and seasoned sales solution capabilities.
• The ability to build and maintain meaningful customer relationships, including at senior leadership levels.
• A client-centric approach with excellent problem-solving skills to find the best-fit solutions.
• Flexibility to adapt quickly to new missions or urgent deadlines.
• Excellent negotiation abilities to craft mutually beneficial solutions.
• A bachelor’s degree in information technology/systems, Sales, or a related field.
• Industry/Vendor sales certifications required.

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• As part of a growing team, we need an experienced Principal BI Developer to join us on a journey to Understand, Design, Build and Modernise the FDLC (Full Development Lifecycle) of client BI Solutions. This role will not only enable you to lead some of the best developers in the region but also allow you to dictate key technical decisions that includes frameworks and tools being used into wider technical strategy/architectures.

Must have

• At least 15+ years proven production experience on Enterprise Data and BI Solutions.
• Hands-on production experience with the FDLC of Enterprise Data/BI Solutions.
• Technical Lead with production experience both Client and Developer facing.
• Extensive production experience with multiple client business processes in diverse Industries.
• You must be a hands-on technical lead developer (not just a people manager) with expertise and experience of at least one BI full stack from a main vendor (e.g. Microsoft Azure BI Stack, Snowflake BI Stack, Databricks BI Stack)
• This role requires your broad experience as generalist with expertise over the FDLC Enterprise BI Solutions and include a diverse and unique skills combination as follow.

Technical Lead (and potentially Team Lead)

• You will be the client facing collaboration lead and be the developer facing collaboration lead (lead a team of BI Developers on Enterprise Projects). You must also be able to collaborate across to managed services and support teams as the delivery of new solutions go to production as well as collaborate with client and Internal project managers, business managers and executives.
• If successful, you might also be appointed a side-by-side responsibility for the administration and facilitation of a fraction of the larger BI team members as a BI Team Lead (not necessarily developers that you are on project with).

Business Analysis and Estimation

• Production experience with client facing business analysis and requirements gathering specific to estimating and scoping the best fit design Data / BI solution for that client. Engagements may range from small “report only solutions” through larger enterprise Data / BI Solutions on either regular or even big data platforms. This can range on premise BI, Cloud BI (e.g. Azure, AWS, Google), Platform BI (Fabric, Snowflake, Databricks).
• Hands-On Technical Lead FDLC Enterprise Data / BI Solutions (Dimensional and Relational)
• You are a Technical Lead with production experience and expertise in at least all three Data/BI subdomains:

Business Analyst

• Client facing technical business analysis and requirements gathering and technical collaboration.
• Enterprise level project scope, design, estimation
• Technical Lead on Solution Design (FDLC)
• Technical Documentation (pre-, mid- and post project)
• Technical Project Management (Standup, Kanban, Sprint, Project Plans) – advantage
• Data Engineer (Dimensional but also some Relational)
• New data solution design (new solutions projects)
• Refactoring existing data solutions (migration projects)
• Extending existing data solution designs (augmentation projects)
• Microsoft Technologies core (SQL, Azure Data Flows and Pipelines, Azure Data Factory, Fabric, Synapse, Power BI, Power Query, SSIS, Data Streaming, IoT)
• Other Technologies advantage (Python, Snowflake, Databricks, Parque, Spark, Event)
• Database Platforms (SQL, Oracle, MySQL, PostgreSQL, Synapse, Fabric Warehouse, Azure SQL, Fabric SQL, Fabric DataLake, Fabric EventHouse (KQL)
• Data Analyst
• Dimensional Modelling
• Power BI Desktop and Service Semantic Models
• Azure Analysis Services
• Fabric Semantic Models
• Advantage with other modelling tools (e.g. Python, Qlik and Tableau, Google, AWS, Fabrick, Snowflake)
• Data Visualization (over Enterprise Semantic Models)
• Power BI Self Service Dashboards and Reports
• Excel Self Service Dashboards and Reports
• Power BI Paginated Reports
• One Lake Dashboards and Reports (Power BI Service / Fabric Platform)
• Advantage with other Data Visualization tools (Qlik, Tableau, Snowsight (Snowflake), Looker (Google), QuickSight (AWS))
• Data Analysis
• Trend Analysis
• Time Intelligence
• KPIs and Metrics
• Aggregation
• Periodic Analysis
• Story Telling with Dashboards
• Data Scientist (optional advantage)
• Production experience utilising GPTs to Mentor and Assist in Solution Design, Development and Testing (actually a must).
• Working knowledge of the Azure AI Foundry and related Tools and Concepts is a definite advantage.
• Utilising Agents and pursuing Agentic AI knowledge is a definite advantage
• Working understanding and practical experience with other Data Science philosophy’s, tools, platforms and development knowledge is a definite advantage.
• Production knowledge of building and implementing conversational Data Analysis and BI tools and techniques will be advantageous.

Advantages

Technical                           

• Working knowledge with data from a variety of mainstream source systems (e.g. SAP, Oracle EBS, Salesforce, SharePoint, Dynamics 365, Office 365, SQL based Systems)
• Working knowledge Master Data Management, Data Governance, Data Lineage (Purview)
• Working knowledge with public data, non-relational data, unstructured data, streaming data to enriching dimensional models
• Working knowledge with related technologies (e.g. IoT, Edge, Big data, Data Lakes, Data Streaming, Advanced Analytics, Machine Learning, Artificial Intelligence, Robotics)
• Experience building effective CI/CD tools and processes (ie.. Devops, Github)
• Working knowledge with the Microsoft Fabric, Snowflake, Databricks, AWS and Google platforms and their related BI stack(s)                                   

Non-Technical

• Stakeholder influence: The ability to clearly communicate your work and ultimately provide confidence to drive change in a business
• Business insight: The ability to understand complex business processes and break down fuzzy requirements into actionable segments
• Translating business requirements into technical ones
• Technical scoping and estimation for RFP process
• Technical documentation and post project documentation automation.
• Leading BI software development, deployment, and maintenance
• Coaching and training: The ability to collaborate effectively with both the client and team members - sharing your experience and helping others to grow their skillset

Qualifications

• Bachelor’s degree in computer science, Information Systems or equivalent experience
• If you have any Microsoft, Snowflake or Databricks Certification, you’re one step ahead.

Personal Traits

• Natural leader
• Friendly and easy going
• Goal oriented
• Passionate about problem solving
• Team-oriented
• Good communicator (any level)
• Self-motivated

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• The successful candidate will work across the full AI solution lifecycle—from data exploration and model development to deploying production-ready GenAI and machine learning solutions. The role requires a hands-on engineer who is comfortable working with modern AI technologies, particularly large language models (LLMs), while collaborating closely with business, engineering, and client stakeholders.

Key Responsibilities
Generative AI & Machine Learning Development

• Design and develop Generative AI solutions, including LLM-based applications
• Implement techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning
• Develop and evaluate machine learning models across supervised, unsupervised, and NLP use cases
• Optimise model performance, reliability, and cost efficiency for enterprise environments

Data & Engineering Collaboration

• Work with structured and unstructured data sources (databases, APIs, documents, transcripts, logs)
• Collaborate with data engineers to support data ingestion, preparation, and transformation pipelines
• Ensure AI solutions are scalable, maintainable, and aligned with software engineering best practices

Deployment & Production

• Package and deploy AI and GenAI solutions into production (APIs, services, batch workflows)
• Support cloud-based deployments, primarily on Microsoft Azure, including Azure OpenAI and Azure AI services
• Apply MLOps and LLMOps practices such as versioning, monitoring, evaluation, and continuous improvement

Client & Stakeholder Engagement

• Translate business problems into effective AI and GenAI use cases
• Contribute to proofs of concept (POCs), pilots, and enterprise-scale implementations
• Support solution architects and senior AI leaders in client engagements and technical delivery

Qualification Requirements

• Postgraduate level qualification (Honours or Masters) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics or a related field
• Alternatively, equivalent practical experience delivering AI or machine learning solutions in enterprise environments

Required Skills

Core Technical Skills

• Strong proficiency in Python for AI and machine learning development
• Solid understanding of machine learning fundamentals and evaluation techniques
• Hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
• Experience working with Generative AI and LLMs in practical use cases
• Strong data handling skills, including SQL and data querying
• Experience deploying models or AI services into production environments
• Experience with vector databases and embeddings (e.g., for RAG architectures)
• Cloud & Platforms
• Experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
• Familiarity with Azure OpenAI, Azure AI services, or similar GenAI platforms
• Experience building or consuming REST APIs and using containerisation tools such as Docker
• Exposure to MLOps / LLMOps tools and practices (e.g., MLflow, monitoring, CI/CD)

Experience & Profile

• 5–10 years of experience in AI, machine learning, or applied data science roles
• Demonstrated experience delivering real-world AI or GenAI solutions beyond experimentation
• Comfortable working in a hybrid, client-facing consulting environment
• Strong communication skills and a pragmatic, delivery-oriented mindset

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• The Intermediate Software Development Engineer is responsible for designing, developing, and maintaining high-quality .NET Core applications in support of external client solutions. This role focuses on hands-on development, collaboration within an agile team, and contributing to reliable, scalable software that meets business and operational requirements. The engineer works under guidance from senior developers and team leads while progressively taking ownership of solution components.

Key Responsibilities

• Design, develop, and maintain .NET Core applications aligned to client business workflows.
• Implement functional and technical requirements using ASP.NET Core, Entity Framework Core, and SQL Server.
• Contribute to sprint planning, estimation, and delivery activities using Azure DevOps.
• Collaborate with business analysts, testers, and senior engineers to deliver high-quality solutions.
• Develop and maintain RESTful APIs and integrate front-end components with backend services.
• Write clean, maintainable, and well-documented code following established standards and best practices.
• Participate in code reviews and apply feedback to improve code quality and consistency.
• Assist in troubleshooting, debugging, and resolving production and non-production issues.
• Adhere to security, compliance, and governance standards applicable to client environments.

Technical Skills & Tools

• Languages & Frameworks: C#, ASP.NET Core, EF Core, SQL, TypeScript, HTML/CSS
• DevOps & CI/CD: Azure DevOps, Git
• Front-End: Vue (or similar modern JavaScript framework)
• Cloud & Infrastructure: Microsoft Azure (App Services, Functions, Storage – exposure advantageous)
• Testing & QA: xUnit, Postman (experience with automated testing advantageous)
• Security: Basic understanding of OAuth2, JWT, and secure coding principles

Knowledge & Attributes

• Strong problem-solving and analytical skills.
• Ability to work effectively within a collaborative, agile team environment.
• Good communication skills with both technical and non-technical stakeholders.
• Willingness to learn, adapt, and grow technical and domain expertise.
• Attention to detail and commitment to delivering high-quality, reliable software.
• Understanding of software development lifecycle (SDLC) and Agile delivery practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (advantageous) or equivalent practical experience.
• Relevant Microsoft or cloud-related certifications are advantageous.

Experience

• 3–5 years of professional software development experience.
• Hands-on experience developing .NET Core applications in a production environment.
• Experience working in Agile teams and contributing to sprint-based delivery.
• Exposure to regulated industries (e.g., healthcare, finance) is advantageous but not required.
• Demonstrated ability to support applications through development, testing, deployment, and maintenance.

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Your day at NTT DATA
 

• The Senior Information Security Incident Response Analyst leads complex incident investigations and digital forensic analysis for clients across diverse environments. This role focuses on determining root cause and impact, guiding clients through containment and remediation, and clearly communicating technical findings to both technical and executive stakeholders.
• The analyst serves as a senior escalation point, mentors and trains junior responders, and contributes to maturing team processes, workflows, and response capabilities. They collaborate with internal teams and external partners while maintaining strong, professional client engagement throughout each incident.

Key Responsibilities

• Investigates security incidents for clients by performing host, disk, memory, network, cloud, and mobile forensics.
• Conducts detailed artifact analysis across Windows, Linux, and macOS systems and reconstructs event timelines using disk images, memory captures, network data, and cloud logs.
• Guides clients through containment, eradication, and recovery activities, providing clear technical recommendations and communications.
• Acts as a senior escalation point for complex incidents and supports the development and mentoring of junior analysts.
• Participates in an on‑call rotation to support urgent, time‑sensitive incident response needs.
• Completes internal and client project work such as tabletop exercises, IR readiness engagements, environment hardening reviews, and forensic assessments.
• Identifies gaps and weaknesses in client environments and provides recommendations to reduce risk and strengthen posture.
• Produces accurate, concise documentation, including investigation notes, status communications, and final reports.
• Collaborates with global DFIR and cyber defense teams and maintains awareness of current threats, tactics, and forensic methodologies.

Knowledge and Attributes

• Advanced knowledge of digital forensics, including disk and memory image analysis across Windows, Linux, and macOS platforms.
• Strong understanding and experience with network forensics, cloud forensics (Azure, AWS, GCP) and mobile forensics (iOS/Android).
• Ability to communicate complex technical findings clearly to both technical and non‑technical client stakeholders.
• Strong analytical, critical thinking, and problem‑solving abilities during high‑pressure investigations.
• Capable of mentoring junior responders and supporting continuous improvement of DFIR capabilities.

Required Experience

• Significant hands‑on experience in digital forensics and incident response across host, disk, memory, network, cloud, and mobile environments.
• Advanced experience using SIEM, EDR, IDS/IPS, packet analysis utilities, and forensic toolsets in active investigations.
• Advanced ability to analyze network traffic using tools such as Wireshark or tcpdump to distinguish normal and malicious behavior.
• Experience working in cybersecurity consulting, DFIR services, or equivalent technical security roles.

Academic Qualifications and Certifications

• Bachelor’s degree or equivalent in Information Technology, Computer Science, Cybersecurity, or a related discipline (preferred).
• Relevant GIAC or equivalent certifications such as: GSEC – Security Essentials GCIA – Certified Intrusion Analyst GCIH – Certified Incident Handler
• Additional DFIR‑related certifications are considered a plus.

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Your day at NTT DATA

• As a Senior Cross Technology Sales Specialist at NTT DATA, you'll play a key role in driving our business forward by identifying new opportunities and landing qualified leads. As a Sales Specialist, you are also responsible for generating your own pipeline and opportunities within your assigned client base. You'll leverage your expertise to present tailored solutions that meet the diverse needs of our clients. From engaging directly with clients at various levels to working closely with internal subject matter experts, your day will be dynamic and filled with opportunities to make an impact.
• You'll spend a significant amount of time actively involved in the sales process, collaborating with client managers and pre-sales architects to design the best solutions for our clients. By building and nurturing excellent relationships with both new and existing clients, you'll develop new business channels and territories, ensuring that we stay ahead in the competitive landscape.
• Your role will involve supporting the entire sales process, from understanding client business goals to preparing and conducting workshops and presentations. You'll articulate the value of our solutions in a way that resonates with our clients, using your in-depth knowledge to personalize recommendations that align with their needs.
• By staying informed about market trends and competitive strategies, and leveraging relationships with technology vendors, you'll drive the closure of sales and ensure we deliver exceptional value to our clients. As a senior specialist, you'll also contribute to building our internal knowledge base by sharing best practices and insights.
• With a client-centric approach, you'll address technology conceptual challenges, craft innovative solutions, and use your advanced negotiation skills to achieve sales targets. You'll support the wider territory sales plan and execute your strategy to discover and close new opportunities, making a significant contribution to our success.

To thrive in this role, you need to have:

• Advanced sales experience in a technology or services environment.
• Proven success in achieving and exceeding sales and financial goals.
• Demonstrable experience in solution-based selling with a track record of sales over-achievement.
• Proficiency in developing and nurturing meaningful customer relationships up to senior leadership levels.
• Skill in delivering engaging sales presentations.
• Experience with team selling approaches.
• Knowledge of competitors and the ability to apply successful sales strategies. \
• Strong negotiation skills to craft solutions that are beneficial to customers, partners, and the organization.
• Attention to detail in maintaining accurate sales forecasts and close plans.
• A bachelor’s degree in information technology/systems, sales, or a related field.
• Industry/Vendor sales certifications required.

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• The Senior Software Development Engineer is responsible for leading the technical delivery of .NET Core solutions within an agile team, contributing deep hands-on expertise while guiding solution design and implementation. This role plays a key part in shaping application architecture, ensuring code quality, and supporting junior engineers, while collaborating closely with team leads and client stakeholders to deliver scalable, secure, and maintainable systems.

Key Responsibilities

• Design and develop robust .NET Core applications aligned to client business and operational requirements.
• Translate business and functional requirements into well-structured, scalable technical solutions.
• Take ownership of complex components, integrations, and critical code paths within the solution.
• Contribute to architectural decisions and ensure adherence to established patterns and best practices.
• Lead by example through high-quality code, testing discipline, and documentation.
• Actively participate in sprint planning, estimation, and delivery tracking using Azure DevOps.
• Perform code reviews and provide constructive guidance to intermediate and junior developers.
• Collaborate with testers, analysts, and DevOps engineers to ensure smooth end-to-end delivery.
• Support deployment, monitoring, and troubleshooting across non-production and production environments.
• Ensure solutions comply with security, governance, and regulatory standards applicable to client environments.

Technical Skills & Tools

• Languages & Frameworks: C#, ASP.NET Core, EF Core, SQL, TypeScript, HTML/CSS
• DevOps & CI/CD: Azure DevOps, Git, Docker (experience advantageous)
• Front-End: Vue (or similar modern JavaScript framework)
• Cloud & Infrastructure: Microsoft Azure (App Services, Functions, Storage, Virtual Machines)
• Testing & QA: xUnit, Playwright (or equivalent), Postman
• Security: OAuth2, JWT, OWASP Top 10 secure coding practices

Knowledge & Attributes

• Strong technical problem-solving and analytical skills.
• Ability to work independently while contributing effectively within a team.
• Comfortable engaging with technical and non-technical stakeholders.
• Demonstrated ownership mindset and accountability for delivered solutions.
• Ability to mentor and uplift less experienced developers.
• Solid understanding of Agile delivery methodologies and SDLC best practices.
• Experience balancing technical excellence with delivery timelines.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (advantageous) or equivalent practical experience.
• Microsoft or Azure-related certifications are advantageous.
• Additional certifications in software architecture or cloud technologies are beneficial.

Experience

• 5–8 years of professional software development experience.
• Proven experience delivering production-grade .NET Core applications.
• Experience working in Agile teams with responsibility for significant solution components.
• Exposure to regulated or enterprise environments (e.g., healthcare, finance) is advantageous.
• Demonstrated experience supporting applications across the full SDLC, including post-deployment support.

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• As part of a growing team, we need experienced Intermediate BI Developers to join us on a journey to Understand, Design and Build the FDLC (Full Development Lifecycle) of the client BI Solutions. This role will not only enable you to collaborate with the best developers in the region, but also allow you to have input on key technical decisions under the guidance of Senior BI Developers and BI Architects that includes frameworks and tools being used into wider technical strategy/architectures.

Data Wrangling

• Production experience building ETL / ELT / Pipelines using SQL, SSIS, Azure Data Factory, Azure Synapse

Must have          

• At least 5+ years production experience in analysing and wrangling data                                                                                                                                                                    

Preference to

• Production experience analysing and wrangling relational data sources (e.g. CSV, Excel, SQL, Oracle, PostgreSQL, MySQL, Databrics)
• Production understanding and mastery of the difference between Relational, Dimensional and Non-structured data and the modelling thereof
• Production experience transforming and conforming diverse data sources to business insights through collaborative Business Metrics and visible Data Lineage

Dimensional Modelling                          

• Production experience building data warehouses and / or dimensional models using Kimball star-schema methodology on Microsoft technologie

Must have

• At least 5+ years production experience building data warehouses and dimensional data models from relational models                                                                                         

Preference to

• Production experience working with at least 3 modern modelling tools - on premise and / or in the cloud (e.g. MS SQL, Analysis Services, Power BI, Azure Synapse Analytics, Microsoft Fabric)
• Production experience building star-schema dimensional data warehouses (e.g. SQL Server on Premise, Azure SQL variants, Azure Synapse Analytics, Microsoft Fabric)
• Production experience building user friendly self-service Data Models using modern visualisation tools (e.g. Power BI, Analysis Services)
• Production experience building developer friendly technical Data Models using modern visualisation tools (e.g. SQL Views, Analysis Services, Azure Synapse Analytics, Power BI Desktop, Power BI Service, Power BI Apps)
• Production experience working with DAX modelling measures (e.g. Power BI, Analysis Services, DAX Studio, Tabular Editor or other external tools used with Power BI Desktop)
• Production experience building Dashboards - particularly for dev-testing self-service or technical dimensional models and to engage peer and subordinate Report Writers and Dashboard Builders (e.g. Power BI Desktop, Excel)
• Snowflake

Responsibilities:

• Develop, manage, and optimize data solutions using the Snowflake platform.
• Write applications that extend Snowflake, act as a client, or act as an integrating component.
• Use Snowpark API to run Python, Java, and Scala code in Snowpark.
• Create data pipelines in Python, Java, or Scala.
• Build Machine Learning workflows with fast data access and data processing.
• Create and manage Snowflake resources across data engineering, Snowpark, Snowpark ML, and application workloads using a unified, first-class Python API.
• Explore various options such as Native Apps Framework, Streamlit, functions, procedures, and more.

Qualifications:

• Proven experience as a Snowflake Developer or similar role.
• Proficiency in Python, Java, Scala, or other relevant languages.
• Experience with data engineering, AI & ML, Data Lake, and DevOps.

Advantages

Technical                           

• Working knowledge with data from a variety of mainstream source systems (e.g. SAP, Oracle EBS, Salesforce, SharePoint, Dynamics 365, Office 365, SQL based Systems)
• Working knowledge Master Data Management, Data Governance, Data Lineage
• Working knowledge with public data, non-relational data, unstructured data, streaming data to enriching dimensional models
• Working knowledge with Hybrid Cloud and non- Microsoft Azure Cloud (e.g. Google, AWS)
• Working knowledge with related technologies (e.g. IoT, Edge, Big data, Data Lakes, Data Streaming, Advanced Analytics, Machine Learning, Artificial Intelligence, Robotics)
• Experience building effective CI/CD tools and processes (ie.. Devops, Github)
• Working knowledge of Databricks

Non-Technical

• Stakeholder influence: The ability to clearly communicate your work and ultimately provide confidence to drive change in a business
• Business insight: The ability to understand complex business processes and break down fuzzy requirements into actionable segments
• Translating business requirements into technical ones
• Leading BI software development, deployment, and maintenance
• Coaching and training: The ability to collaborate effectively with both the client and team members - sharing your experience and helping others to grow their skillset

Qualifications

• Bachelor’s degree in computer science, Information Systems or equivalent experience
• If you have any Microsoft Certification, you’re one step ahead.

Personal Traits

• Friendly and easy going
• Goal oriented
• Passionate about problem solving
• Team-oriented
• Good communicator
• Self-motivated
• Deadline-oriented
• Strong problem-solving skills and ability to troubleshoot issues

go to method of application »

• We are seeking a skilled and experienced Senior AWS Cloud Technical/Solutions Architect to design, implement, and manage scalable, secure, and cost-effective cloud solutions on Amazon Web Services (AWS). The Senior AWS Cloud Technical/Solutions Architect is a subject matter expert, responsible for designing and may be required to implement AWS cloud-based solutions that meet client’s business and technical requirements. 
• The Senior AWS Cloud Technical/Solutions Architect is a subject matter expert, responsible for designing and may be required to implement AWS cloud-based solutions that meet client’s business and technical requirements.  
• This role supports and influences operations and sales teams by providing expertise in cloud computing technologies and architectures ensuring the effective design, deployment and operations of our AWS cloud-based systems to meet client needs. 
• The ideal candidate will have a deep understanding of cloud architecture, DevOps practices, and infrastructure automation, and will play a key role in driving our cloud strategy and digital transformation initiatives. 
• This role has the opportunity to design and operate solutions with some of the most innovative global organizations, technologies, accelerating the digital transformation of business objectives and outcomes for both external and internal customers to the business. 

Key Responsibilities: 

• Design and implement scalable, highly available, and fault-tolerant systems on AWS. 
• Lead cloud architecture and infrastructure design sessions with stakeholders to understand business requirements and translate them into scalable, secure, and cost-effective cloud solutions. 
• Develop and maintain infrastructure as code using tools like AWS CloudFormation and Terraform. 
• Ensure security best practices are followed in all cloud deployments. 
• Collaborate with DevOps, development, and security teams to streamline CI/CD pipelines. 
• Optimize cloud costs and monitor system performance. 
• Provide technical leadership and mentoring within the team of architects and engineers. 
• Stay current with AWS services and industry trends to recommend innovative solutions. 
• Viewed as a trusted technical advisor to the client and ensure technical solutions will accomplish the client's objectives. 
• Engage in pre-sales activities with Sales Teams and clients both internal and external. 

Required Qualifications & Experience: 

• Bachelor’s degree in computer science, Information Technology, or related field. 
• AWS Certified Solutions Architect (Associate or Professional) is strongly preferred. 
• 8 to 12 years of AWS experience in cloud architecture and engineering. 
• Proficiency in AWS services such as AWS Control Tower, Step Functions, Service Catalog, EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, CodeCommit, CodeDeploy, CodeBuild and ECS/EKS. 
• Knowledge of AWS Well-Architected Framework and best practices. 
• Experience with infrastructure as code (IaC) tools like AWS CloudFormation, AWS CDK and or Terraform. 
• Understanding of networking, security, and compliance in cloud environments. 
• Familiarity with DevOps processes and Continuous Integration and Continuous Delivery/Deployment (CI/CD) pipelines. 
• Problem-solving, communication, and documentation skills. 
• Experience with hybrid cloud and AWS cloud environments. 
• Experience in software development or scripting (Python, Bash, etc.). 
• Knowledge of serverless architecture, microservices and event driven architecture.