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A Technical Delivery Manager/Project Manager is required to join the team that will be delivering a large-scale business initiative.

The role is accountable for the technical delivery of a large-scale technical transformation project focusing on upgrading the network fabric of our key data centres. Delivery teams are located in various locations around the globe. 

Specific Responsibilities / Accountabilities:

• Technology delivery – lead the delivery across all technology teams in the workstream throughout the end to end delivery chain
• Planning - Accountable for all technology planning activities, including working closely with Workstream Lead to ensure technology plans are fully and correctly reflected in overall workstream plans and roadmaps
• Dependency management - Ensures all impacts of dependencies are addressed in the overall project plan. Effectively work across the organization to ensure all dependent teams are aligned with the project plans and schedules
• Risk and Issue Management – Ability to proactively manage risk and issues for the workstream in a timely manner and have the confidence to make decisions to mitigate or resolve when required. Work closely with workstream lead to ensure RAIDS are fully documented, mitigated and escalated as required.
• Leadership – Lead and work closely with all members of the team, including business analysts, architects, QA and development management to ensure all aspects from intake, requirements, design and testing are fit for purpose and delivered in a timely manner for planning and execution
• Team performance - Work closely with the Scrum Masters and Vendor management (where required) and QA to ensure the delivery performance of the teams throughout execution and identify opportunities to optimize to improve timeliness, throughput and quality.
• Problem solving and decision making – sound judgment at a senior management level using assertiveness and influencing skills to ensure items are discussed and decisions made and agreed in a timely manner
• Governance – Manage any workstream technology team governance and adhere to the overall programme governance to ensure all stakeholders and team members are aligned and effective in delivery
• Reporting – Ensure reporting is provided as required on a regular basis against roadmap, plans and any performance KPI’s and OKR’s for your teams
• Communication - Working closely and collaboratively with the Project management office to identify and manage all stakeholders, providing visibility and transparency
• Financial Management and Project Accounting – Providing the critical data required for the project management function to monitor and track financial health, analysing resource requirements across multiple projects or across programmes to meet strategic goals

Essential Skills/Experience Required:

• Experience in running scaled agile teams
• Previous experience of working in a large scale, Top Tier Investment Bank or for a wider Financial Services Organisation
• Experience of setting up and working on a Greenfield Programme of work
• Proven experience in delivering large-scale technical programmes in a hands-on capacity
• A software delivery background would be highly beneficial due to the technical nature of the deliverables
• Extensive stakeholder management experience up to senior level, alongside the management of external vendor relationships
• Experience of working in a complex, high-paced environment with a global team
• Excellent communication skills both written and verbal

Key Stakeholders

• Workstream Lead
• PMO
• Scrum Masters/Scrum of Scrums
• Other Delivery Managers for dependencies
• Development leads
• QA Lead
• Product Owners
• Business Sponsors
• Lead BA
• Lead Solutions architects
• Service (Release to BAU)

Responsibilities

• Perform detailed QC of 2D engineering drawings with a strong focus on accuracy, standards, and manufacturability.
• Validate dimensions, tolerances, GD&T symbols, views, callouts, and BOM elements.
• Cross-check drawings against 3D CAD models and identify mismatches.
• Flag design or annotation errors and guide drafters on corrective actions.
• Ensure compliance with ASME/ISO standards and internal guidelines.
• Develop and refine QC checklists, SOPs, and quality frameworks.
• Collaborate with design, drafting, and automation teams to improve quality.
• Maintain QC reports and drive continuous improvement.
• Mentor junior engineers.

Must-Have Skills

• Diploma/B.E./B.Tech in Mechanical or Production Engineering.
• 5–12 years of experience reviewing mechanical drawings in manufacturing, aerospace, automotive, tooling, or precision engineering.
• Strong command of GD&T (ASME Y14.5) and engineering drawing standards.
• Ability to interpret 3D CAD models in SolidWorks/Creo/NX or similar tools.
• Exceptional attention to detail with high accuracy.
• Strong communication and documentation skills.
• Worked with Plastic components and parts
• ASME Certified with strength in GD&T concepts.

Why Hanomi.ai?

Hanomi.ai is an AI-driven engineering automation platform that transforms how mechanical engineers move from design to production. Our technology generates production-ready 2D technical drawings directly from 3D CAD, cutting drafting time from hours to minutes. Hanomi supports native CAD output, GD&T automation, and seamless integration with existing PLM systems — helping teams ship tools faster while maintaining their engineering standards.

Backed by global investors and trusted by leading manufacturing innovators, our mission is simple: bridge the gap between design and manufacturing so engineers can focus on what truly matters — innovation.

Job description – International Voice Process

Location - WFO, Hebbal Bangalore

Job Type: Full-time, Aus shift, 5AM-2PM(IST)

Summary:

Blue Matrix is seeking a highly motivated and experienced individual to join our team as a

Process Associate for an International Voice Process (Lead Generation) professional. The ideal

candidate will have at least 6 months of experience in international voice processes. Strong

English communication skills are an absolute must for this role, as the candidate will be

responsible for generating leads through international voice processes, and communicating

effectively with customers and team members.

Key Responsibilities:

· Generating leads through an international voice process.

. Outbound sales experience

· Meeting or exceeding lead generation targets.

· Identifying and qualifying potential customers.

· Communicating effectively with customers and team members.

Requirements:

· Proven work experience in an international Voice.

· Should have neutral accent

· Excellent communication skills (verbal and written).

· Agile and flexible with work schedule.

· Logical and analytical thought process.

· Willing to work in any Australian Shift 5 am to 2 pm

Qualifications:

PUC/Graduation degree

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Roles & Responsibilities:

1. Develop end-to-end Salesforce solutions using primarily Configuration and Customization where needed (APEX Class, Triggers, Visualforce pages, Lightning Web components etc.)

2. Automate business processes using Salesforce automation tools, such as Formulas, Flow, Assignment Rules, Approval processes and email Alerts.

3. Build integrations between Salesforce and external applications using Mulesoft, REST, SOAP APIs, oAuth and Single Sign-On, etc.

4. Participate in daily scrum meetings, analyze assign user stories, identify/resolve gaps in functional user stories/business requirements. 5. Adhere to defined coding standards and develop well-structured, maintainable, and easy to understand code.

6. Perform independent code reviews and write unit/integration test cases to achieve 85% test coverage.

7. Demo enhancements and features to business stakeholders

8. Ability to effectively debug and resolve issues and/or defects which may be reported because of faults in the production system. Experience:

1. 5+ years of experience with Salesforce Lightning, Apex, & Development experience with Experience Cloud & Service Cloud

2. 5+ years of experience utilizing source control on a Salesforce project.

3. 5+ years of experience with advanced Salesforce.com development tools and techniques (APEX Class, Triggers, Visualforce pages, Lightning Web components etc.)

4. Experience developing robust test classes and ensuring code coverage within Salesforce.

5. Experience using Salesforce's standard development tooling, including the Salesforce CLI, Data Loader, VS Code + Salesforce Extension Pac

10+ years of sales/business development experience in Cyber Security Domain

·        Experience building and executing a partner led go to market model

·        Strong background in executive-level communication

·        Strong skills in a cross-functional teaming environment

·        Having an insightful view of the overall business landscape, including financial and partner business drivers

·        Understands how to evaluate, interpret, and incorporate financial data in daily decisions to understand the organization's financial goals and focus the efforts in solving complex partner needs

·        Demonstrated ability to build and maintain executive level relationships at customers, partners .

·        Working across Boundaries - Ability to work cross-functionally with multiple business units, partners and solution teams in complex business engagements

·        Strategic Vision - Develops short and long-term strategy

We are seeking a Software Design Engineer with hands-on design skills and exceptional unit testing experience. This person will be responsible to design, develop and troubleshoot software programs for laboratory medical device new product development. The incumbent practices and propagates engineering practices on design principles, code quality, refactoring and unit testing.

Responsibilities

• Prototype, design, refactor, implement, unit test Windows based software applications
• Participate in cross-functional project teams to refactor and design software
• Work with multi-discipline teams on new product introduction project while adhering to software development and source control processes
• Document software, write technical specifications for interfaces and testing

Qualifications

• Bachelor’s degree in Software Engineering, Computer Science or related field with no less than 8+ years of experience
• Expert architecting, designing and developing C++/C# based solutions
• Strong software design skills - expert in OOA/OOD development methodologies, software design principles and design patterns
• Experience in Agile development processes and philosophies.
• History of driving project execution and timely delivery while ensuring a quality focus
• Ability to work well with people and be both highly motivated and motivating
• Ability to work in a fast-paced, and often ambiguous environment where continuous improvement is a way of life
• Ability to work independently and proactively with minimal direction

Nice to Have

• Experience working with Docker / Containerization technologies is a big plus
• Experience in medical device design & development is a plus
• Experience in IVD instrumentation, such as clinical chemistry, immunoassay, hematology, urinalysis, molecular, microbiology or flow cytometry systems is a plus
• Understanding of software development processes for a regulated environment (ISO9000/FDA) is a plus
• Experience in software code and build management is a plus