Total 2,431 network engineer job vacancies in Information Technology category in Australia

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications

• 5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross-functional technical decisions.

Responsibilities

• Design and implement Windows Server 2019/2016 configurations including Windows Domain Administration and Microsoft Failover Clustering to ensure high availability and performance
• Develop and maintain Windows RDS Architecture to support remote desktop services effectively
• Apply Group Policy Objects (GPO) and perform OS hardening to enhance system security and compliance
• Execute OS patching and upgrading to maintain system stability and security
• Configure, upgrade, harden, and administer Microsoft SQL Server 2019/2016/2017 to optimize database performance and security
• Deploy and maintain Linux-based Virtual Appliances and Ubuntu OS to support diverse operating environments
• Configure and manage Commvault backup jobs to ensure reliable data protection and recovery
• Design and implement network and network security solutions to safeguard ICT infrastructure
• Apply system security concepts including SSL certificate management to protect data integrity and privacy
• Perform preventive maintenance tasks to minimize system downtime and extend hardware lifespan
• Respond promptly to system faults on-site 24/7 and communicate effectively with users to resolve issues
• Conduct hands-on management of virtual machines (VMs) in the datacenter to ensure operational continuity
• Analyze system requirements and propose architecture and solutions that align with business needs
• Develop and maintain comprehensive system documentation to support operational transparency and knowledge sharing

Preferred competencies and qualifications

• Minimum 1–3 years of hands-on experience in system engineering roles
• Proficiency in the following skills: Windows Server configuration, Windows Domain Administration, Microsoft Failover Clustering, Windows RDS Architecture, GPO, OS hardening, OS patching/upgrading, Microsoft SQL Server configuration and administration

Other Information

• Work schedule: 5-day week
• Work location: AMK

Maestro HR
damien lee tian hong
R1106726
16C8462

Overview:

We are seeking a skilled Microsoft Dynamics 365 Software Engineer to design, develop, and maintain customised solutions within the Dynamics 365 CRM ecosystem. The successful candidate will work closely with business and Infocomm Technology stakeholders to translate requirements into technical solutions whilst ensuring system performance, security, and scalability.

Responsibilities

• Drive and contribute to the implementation of Microsoft Dynamics 365 solution for CRM module, including gathering requirements, designing and development, module configurations or extensions to the standard Microsoft Dynamics applications and ensure all functionalities work effectively with all other integrated/interfaced applications.
• Responsible for development, deployment, testing and technical documentation for operations and support of the MD365, and related application integrations.

• Customization and Configuration:
• Utilize your expertise in SQL and .NET to customize MD365 forms, entities, fields, forms, view, workflows, and queries to meet business requirements.
• Implement plugins, custom workflows, and integration solutions to extend MD365 functionalities.
• Customize workflows to align with business processes.

• Integration:
• Develop integration solutions to connect MD365 with other business applications, leveraging SQL databases and .NET frameworks using APIs, web services, and middleware solutions to ensure seamless data flow across platforms.

• Technical Support and Maintenance:
• Provide technical support to post-implementation, troubleshoot issues, and perform system upgrades and patches.
• Ensure the stability, performance, and security of MD365 systems.

• Documentation:

• Create comprehensive documentation including system architecture, configurations, and customizations for reference.

• System Performance Improvements:

• Conduct product evaluations of upgrades to the MD365 system.

• DevOps practices including CI/CD pipeline implementation, automated testing, and deployment using modern development tools
• Manage performance tuning and capacity planning activities to enhance the performance of the MD365 platform.
• Analyze user support statistics and related data to recommend appropriate measures.

Requirements

• Possess a Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 3-5 years of technical working experience in cloud or web applications development
• Strong proficiency in MS SQL for data manipulation, querying, and reporting.
• Experience with .NET framework and development languages such as C# for customization and integration tasks.
• Strong DevOps background with hands-on experience in GitLab, Confluence, JIRA, X-Ray, security scanning tools, and automated testing frameworks
• Has completed at least 2 end-to-end full life cycle implementations of Microsoft Dynamics 365
• Possess Microsoft Dynamics 365 Certifications (MB-500, MB-820) and in-depth understanding of MD365 concepts, modules, and functionalities.
• Familiarity with SHIP-HATS and AWS cloud services is advantageous
• Ability to work with functional teams

My Client:

My client is a technology-driven company building high-performance hardware and system-level solutions for compute-intensive applications. The engineering team focuses on embedded systems, firmware development, and device-level software optimization.

The team operates in a hands-on, product-oriented environment, working closely with hardware, chip, and system teams to deliver reliable and efficient embedded solutions. They are currently expanding their embedded engineering team to support new-generation devices.

Job Responsibilities:

• Develop, port, and optimize firmware for Linux-based embedded systems.
• Design and implement device drivers and low-level software for peripheral modules.
• Perform system debugging, testing, and performance optimization for embedded platforms.
• Work closely with hardware and chip teams on bring-up, validation, and integration.
• Develop software control logic related to system performance and power management.
• Participate in system-level troubleshooting and continuous improvement of reliability and stability.

Job Requirements:

• Bachelor’s degree or above in Computer Engineering, Electronics, or related fields.
• Strong programming skills in C/C++ for embedded systems.
• Familiarity with Linux systems and embedded software development.
• Understanding of microprocessor architecture and hardware fundamentals.
• Ability to read datasheets and debug hardware/software integration issues.
• Strong problem-solving skills and proactive learning attitude.

What They Offer:

• Exposure to full-stack system development from chip to software.
• Engineering-driven environment with strong technical depth.
• Competitive compensation and long-term career development.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R26160730

Business Registration Number: 201735941W. Licence Number: 18S9037

Overall Purpose of Job:

Explore and evaluate new and adjacent technologies and assist CTO in development of technology road map for Marine.

Responsibilities:

1. Scan the technology landscape for future disruptors and new product/solutions for management evaluation. Special attention to the adoption of AI on products and the exploration of alternative energies for marine platforms.
2. Facilitate internal efforts for R&D and seek collaboration with external parties including IHL to supplement internal R&D resources. Assist to prepare R&D budget and  all aspects of R&D efforts for corporate reporting.
3. Perform feasibility studies with potential customer/early adopters of new solution/technologies. Project manage POC projects.
4. Assist in application of R&D funding and grants from external agencies to support R&D efforts.  Assist in the project cycle from the initiation of ideas, search for the relevant agencies, the submission of the proposal to the claims.
5. Work closely with Group CTO working level to align the development of relevant technologies for growing the future business of Marine.  Collaborate with other Business Areas working level for new technology applications that can be shared across industries.

Requirements:

1. Bachelor Degree in Engineering  (Marine and Offshore, Naval Architecture, Structural) 
2. 5-10 years of industry experience in Marine or Offshore
3. Software skills preferred: Rhino, Solidworks, AutoCAD  

Other Information:
 

• Location: 16 Benoi Road (Island-wide transport provided)
• 5-day work week
• Working Hours: 7.25am-5pm

Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.

We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology. 

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view

Core responsibilities:

• Design, implement and maintain software modules for autonomous robot operation using the ROS2 framework.

• Design, implement and maintain firmware logic and architecture. 

• Develop code for embedded software components.

• Build and maintain data pipelines for the training and evaluation of AI models.

• Develop and integrate AI/ML models into the robot software stack.

• Research and evaluate other state-of-the-art AI techniques relevant to robotics, and Computer Vision.

• Evaluate and integrate third party open source libraries, SDKs and/or APIs where beneficial.

• Design and execute testing strategies including unit, integration and HIL tests to validate software correctness and system performance.

• Diagnose and resolve software and firmware issues across the stack.

• Develop and maintain tools for build systems, testing, logging and remote diagnostics.

• Involve and drive Continuous Integration and deployment (CI/CD) infrastructure and environment setup.

You may also be involved in:

• Hands-on assembly, wiring and soldering of electronic subsystems as part of prototype bring-up and iteration

• Occasional on-site deployment and testing at live operational environments (e.g. construction sites), requiring adaptability and safety-consciousness.

Technical Requirements:

• Proficiency in C++17 or later for performance-critical systems.

• Proficiency in Python for scripting, tooling, ML pipelines.

• Experience with bare-metal embedded development in C.

• Familiarity with robotics simulation environments like Gazebo for development and validation.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with and computer vision libraries (e.g. OpenCV, Ultralytics).

Nice to Haves

• Experience with version control (Git) and collaborative development workflows

• Experience in configuring sensors over I2C, CSI and CAN.

• Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).

• Familiarity with software design principles and CI/CD pipelines (eg Github Actions)

• Experience with electronics is a plus.

Values/ Culture:

• Excited to work in a fast-moving startup environment where your work directly shapes the product and puts you close to real-world operations and clients

• Comfortable with ambiguity and able to self-direct in an environment where priorities evolve rapidly

• Strong first-principles thinking, comfortable defining success metrics and making reasoned decisions with limited data

• Self-motivated and impact driven, with a track record of going beyond the minimum through personal projects, open-source contributions or extracurricular technical work

• Excited about robotics and similar technical areas and exploring them in work and other projects

• Approach unfamiliar problems with curiosity and a growth mindset. Eager to learn across domains including hardware, software and operations

Our work is fast-moving and iterative, and your role will grow with it. We value people who can take initiative, connect their day-to-day work to the bigger picture, and adapt as our priorities evolve.

Click on the link above for more information, send your CV to careers@fabrica.ai to apply.

Job Title: Data Engineer
Duration: 24 months
Location: 1 Marina Boulevard
Salary: 5000-6000
Eligibility: Only Singaporeans

As a Data Engineer, you will be a key member of the Data Management and Operations team, ensuring a robust data infrastructure, upholding data quality and data governance rules and efficient functioning of data pipelines. You will work closely with stakeholders across the division and vendors to ingest data and translate data needs into the relevant tables. The Data Engineer will also work closely with AI Engineers and Machine Learning Engineers to deploy data science models into production.

What you will be working on

You will be involved in a range of tasks including the following:

• Infrastructure Architecture & Cloud Management: Design and manage robust, scalable data infrastructure utilising AWS and other cloud platforms based on project requirements. Proactively explore and evaluate innovative data engineering tools to enhance infrastructure capabilities. Continuously recommend and implement improvements to data infrastructure based on emerging technologies.
• Data Pipeline Development & Implementation: Design and implement efficient data models and pipelines for ingestion, processing, and distribution of largescale datasets. Ensure high data quality and availability across all data processing workflows. Align data flows across various systems with consistent schema and governed access models. Collaborate with external vendors to enable secure data exchange through APIs, including the development of API Swagger specifications required for vendors to build and integrate their API endpoints.
• Data Quality & Standards Management: Lead comprehensive data quality initiatives establishing standards for accuracy and reliability across all systems. Diagnose and resolve data pipeline issues while contributing to incident response and post-mortem reviews. Maintain rigorous quality control processes throughout the data lifecycle.
• AI & Machine Learning Collaboration: Collaborate closely with AI engineers to provide optimised data solutions for machine learning projects. Emphasise seamless data flow and accessibility for AI model development and deployment. Ensure data infrastructure supports advanced analytics and machine learning requirements.
• Documentation & Knowledge Management: Develop and maintain comprehensive documentation on data architecture, procedures, and management practices. Ensure clarity and consistency of documentation across all teams and projects. Create accessible resources that support effective data management practices.
• Automation & Integration Solutions: Leverage innovative tools and architectures to automate common, repeatable, and error-prone data preparation tasks. Minimise manual processes whilst improving overall productivity and efficiency.

Implement automated data integration solutions that reduce operational overhead.

• Governance & Stakeholder Collaboration: Work closely with data governance teams to vet and promote high-quality content for governed reuse. Engage proactively with cross-functional teams and business stakeholders to refine requirements and co-design solutions. Support creation and maintenance of curated data catalogues for organisational use.
• Training & Continuous Improvement: Facilitate knowledge sharing and technical training sessions on data management best practices and tools. Enhance data competency across staff through structured learning programmes. Establish regular feedback loops with data consumers to refine and optimise pipelines for seamless production deployment

Requirements

• Proficiency in data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools) and building scalable data pipelines.
• Proficiency in Python and SQL; experience in AI/ML model development and deployment a plus.
• Experience in working with large and multiple datasets and data warehouses.
• Independent contributor with ability to collaborate and work effectively within the team.
• Strong analytical, conceptualization and problem-solving skills.
• Excellent written and verbal communication skills

Apply Now via MyCareersFuture
Only qualified candidates are contacted

----
By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and disclosing your personal data to our clients and partners for the purpose of evaluating your suitability for job opportunities and related recruitment services. You acknowledge that you have read, understood, and agree to our Privacy Policy for Job Applicants, available at https://bgc-group.com/notice-for-job-applicants

In Ref: SS – JO-28275-B
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

- 1-year outsourced contract

- $4200 - $5000 + Offsite stand-by allowance $200

- Mon – Fri: 8:30am – 6pm

- Ang Mo Kio

Job Responsibilities:

• Administrating Active Directory and Windows Update Services
• Manage and maintain all Active Directory objects, DNS records and Group Policies, handling requests for creation and removal of related items
• Assisting the Support Engineer or Software Engineer in problem resolution beyond the capability of the 1st Level Support Staff.
• Performing system recovery if needed.
• Escalating unsolvable problems to the 3rd Level Support Staff and reports the escalation to superior.
• Ensuring that the System runs according to contractual specifications after problem resolution.
• Providing advice on system / database performance monitoring and tuning.
• Ensuring deployments of approved patches/releases are implemented accordingly to Change Request.
• Complete all Service Requested accordingly to SLA timeframe.
• Assisting the Customer in the verification, isolation and/or provision of a temporary work-around for the problem logged beyond 2nd Level Support Staff capability.
• Escalating unsolvable system problems and service request to the OEM/Vendor for technical support.
• Coordinating system development tasks to include design, integration and formal testing on the Change Request.
• Overseeing all transitions into production on the Change Request.
• Developing and complete actions in system specifications, technical and logistical requirements and other disciplines on the Change Request.
• Creating and maintain programmatic and technical documentation to insure efficient planning and execution on the Change Request.
• Managing and document system configurations on the Change Request.
• Perform troubleshooting and resolve incident based on SLA.
• Generating the relevant administrative records and reports.

Period:

• 1-year outsourced contract

Location:

• Ang Mo Kio

Working hours:

• Mon – Fri: 8:30am – 6pm

Salary:

• $4200 - $5000 + Offsite stand-by allowance $200

Job Requirements:

• Minimum Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.
• Minimum 3 to 5 years IT experience
• Strong hands-on experience in enterprise-level projects
• Proven AD configuration and integration capabilities
• Proven GPO configuration and integration capabilities

Preferred Skills:

• Past working experience in Cloud environment is an advantage
• Able to handle demanding service response and recovery turnaround
• Able to manage daily support tasks to meet stringent SLA requirements
• Excellent scheduling and multitasking skills
• Meticulous and process-oriented
• Good, hard-working attitude with ability to work well under pressure
• Good communication skills English (written, spoken) to liaise with native English-speaking clients
• Good analytical skills with ability to work with others to resolve problems.
• Good organization skills, with ability to properly document and track information.
• Preferably with Microsoft Certification and/or ITIL certification.
• Dynamic, customer oriented, experience working in a fast paced environment.
• Good Knowledge of following products will be advantageous:-Linux,Unix,Active Directory/DNS/GPO, ADFS, Microsoft Azure Stack,Microsoft Windows 2016-2022

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

joan@successhrc.com.sg (Reg No: R1332758)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 068914
T: 6337 3183 | W: www.successhrc.com.sg

- 2-year contract (renewable & convertible)

- Up to $6,000

- Mon – Fri: 8:30am–5:30pm

- Ang Mo Kio/Site (Tuas)

Responsibilities:

The System Field Engineer will be responsible for installing, maintaining, troubleshooting, and upgrading systems and equipment at client sites. This role requires strong technical knowledge, excellent problem-solving skills, and the ability to work independently in the field. The engineer will collaborate with customers and internal teams to ensure optimal system performance and customer satisfaction.

• Install, configure, and commission assigned systems and equipment at customer sites following standard procedures and safety guidelines.
• Perform routine and preventive maintenance to ensure system reliability and performance.
• Diagnose and troubleshoot hardware and software issues on-site to minimize downtime.
• Provide technical support and training to customers / end-users.
• Document service reports, installation procedures, and maintenance records accurately.
• Adhere to company policies, safety regulations, and quality standards.

Period:

• 2-year contract (renewable & convertible) 

Salary:

• Up to $6,000
   

Working hours:

• Mon – Fri: 8:30am–5:30pm 

Location:

• Ang Mo Kio/Site (Tuas) 

Requirements:

• Degree/Diploma/ITE in Engineering in Electronics or equivalent
• Experience in providing maintenance service
• Able to perform 24/7 stand by and able to work out field on site

• Must be able to lift heavy loads and work at height

• Good team player and yet able to work independently.
• Valid Class 3 driving license would be advantageous

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
zikry@successhrc.com.sg   (Registration no: R2198989)

Please ensure that applications sent through email are no bigger than 1Mb.
We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)
160 Robinson Road, #13-07/08/09 SBF Center, Singapore 06891
T: 6337 3183 | W: www.successhrc.com.sg 

Responsibilities:

• The responsibilities of the Support Engineer are as follows: Contribute to the handling and resolution of incidents.
• Contribute to the support of the RUN N2/N3 team and to the resolution of incidents/problems related to production.
• Contribute to the analysis of incidents by the IT RUN team, and recommend the actions to be implemented depending on the incident reported.
• Contribute to the implementation of developments to resolve the incident.
• Contributing to the unit tests and writing the documentation relating to the changes made before going into production. Contribute to the respect of commitments/SLA's
• Contribute to the respect of commitments in terms of deadlines and quality of provided work.
• Assist the RUN teams in production
• •Contribute to the validation of deliverables / procedures for the RUN/PROJECT team during deployment.
• Assist the RUN team with requests for training/technical consultation.
• Provide training for the RUN teams
• Contribute to network improvements and carry out the regression tests.
• Ensure on-call duty according to the schedule and respond to intervention needs outside working hours.
• Help to draw up on-call schedules
• Respond and deal with incidents outside working hours.

Key Requirements:

• Bachelor’s Degree in computer Science or equivalent studies/ experiences

• Minimum of 3 years of professional experience in Payment domain

• Good skills in development and coding (PL/SQL, C,C++,Java, HTML, Phyton, Oracle Data Base….)

• Hands-on experience in incident management

• Proven results-oriented person with focus on delivery

• Excellent communication and inter-personal skills to manage functional and technical stakeholders across multiple business units

• Ability to work under high pressure and provide clarity in confusion situations

• Location Singapore

Regret to inform you that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

You will be involved in the entire development cycle and exemplify all core Databricks values.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience

• Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store
• Develop product features that empower our customers to easily store and access their data.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 2+ years of production level experience in one of: Java, Scala, C++, or similar language
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Knowledge of SQL preferred

Job Description 

We are looking for a highly motivated Infra Engineer / Senior Engineer, Network to design, implement, and optimise enterprise/campus and data centre network infrastructure. 

In this role, you will work on end-to-end network solutions—from translating high-level architecture into detailed designs, to validating performance, ensuring security compliance, and driving operational excellence. 

What will you do? 

- Translate high-level network architecture into detailed technical designs, including physical and logical diagrams, traffic flows, and failover plans. 

- Prepare clear and concise requirement documents and component-level design validations for simple to complex network solutions. 

- Maintain accurate documentation such as test plans, traceability matrices, and design artefacts, ensuring alignment across the project lifecycle. 

- Configure and implement network infrastructure in accordance with the design and security requirements. 

- Perform baseline security configuration of devices to meet compliance and best practices. 

- Use network management tools to monitor, analyse, and report on network performance and status. 

- Participate in root-cause investigations, validating proper operation of network installations. 

- Resolve routine to complex network issues by applying diagnostic tools and employing structured troubleshooting methods. 

- Develop and execute test plans to validate network performance, reliability, and integration. 

- Conduct functional and integration tests, document results, and clearly report issues or risks. 

- Link requirements to test cases with proper traceability to ensure end-to-end validation of solutions investigations, validating proper operation of network installations. 

- Able to work independently and also to work in a team.     

Technical Skills (Good to Have)

Network - Routing and Switching / WAN / Network Security / Performance Monitoring

Nexus Switches (7k, 9k) & NX-OS Technologies

Cisco ACI Technologies (SD-DC)

Qualifications 

The ideal candidate should possess 

Experience: 2 or more years of IT or networking experience. 

Technical /Professional Skills: Certification – CCNA/ CCNP/ CCIE 

• Experience with software design and development
• Able to analyze user requirements to inform application design
• Minimum 3 years of hands-on software development experience in Python.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.
• Experience in TypeScript, React, C#, MSSQL.
  
  U3 Privacy Notice: Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

• Experience with software design and development
• Able to analyze user requirements to inform application design
• Minimum 3 years of hands-on software development experience in Python.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.
• Experience in TypeScript, React, C#, MSSQL.

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

You will be involved in the entire development cycle and exemplify all core Databricks values.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience
• Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store
• Develop product features that empower our customers to easily store and access their data

What we look for:

• BS (or higher) in Computer Science, or a related field
• 2+ years of production level experience in one of: Java, Scala, C++, or similar language
• Experience developing large-scale distributed systems
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Knowledge of SQL preferred