Total 2,691 network engineer job vacancies in Information Technology category in Australia

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Mobile Security Engineer.

This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Responsibilities

• Design and develop internal applications to automate routine tasks, analyze operational logs, and implement robust monitoring systems.

• Enhance and automate security solutions to improve system resilience and team productivity.

• Develop user-friendly mobile applications to assess the efficacy and control mechanisms of the bank's security tools.

• Manage and support the change management process for solution implementations.

• Collaborate with application development teams to seamlessly integrate security solutions into mobile applications.

Requirements

• Expertise in mobile security and mobile application development.

• Comprehensive experience across the software development lifecycle, including requirements gathering, system analysis and design, application development, functional and performance testing, deployment via CI/CD pipelines, and production support.

• Fluency in both English and Mandarin (reading, writing, and speaking).

Functional / Technical Competencies

• Possess knowledge of information security principles & secure coding practices

• Possess knowledge about designing and developing mobile applications

• Possess technical knowledge in operation systems, networking & Internet technologies

• Programming knowledge (Java, Swift, Python, JavaScript)

• Proficient in mobile development tools/IDE (XCode, Android Studio)

• Web services/API development experience

• Working knowledge of Linux and shell scripting

Good problem solving and analytical skills

CONSULTANT DETAILS

Consultant Name: Abinaya R
Reg No: R1765546
Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Position Overview

As a Senior Software Engineer, you will be part of an agile, cross-functional team that designs and develops mission-critical digital platforms for the public sector. You will work across the full technology stack — creating responsive front-end applications and robust backend services that are reliable, secure, and scalable.

The position offers exposure to a wide range of technologies and opportunities for growth. This is an ideal role for engineers who are passionate about learning, problem-solving, and building impactful solutions.

Key Responsibilities

• Design, develop, and deliver scalable and tested features across the full stack — including responsive portal plugins using Next.js, Redux, and JavaScript, and backend services using Java, Python, and C++.
• Work in Agile teams, contributing to sprint planning, development, reviews, and continuous improvement.
• Collaborate closely with QA, UI/UX, and DevOps engineers to ensure technical robustness and user-centric design.
• Implement unit and integration tests to support automated testing and CI/CD pipelines.
• Investigate, troubleshoot, and resolve software defects and production issues in a timely manner.
• Participate in code reviews, maintain documentation, and adhere to secure coding best practices.
• (Optional) Support architecture design or system integration work with government authentication or data exchange frameworks.

Requirements

• At least 4–6 years of hands-on experience in software development.
• Proficiency in at least one backend language — Java, Python, or C++.
• Experience developing front-end applications using Next.js, Redux, and JavaScript/TypeScript.
• Strong understanding of RESTful API design, object-oriented programming, and secure coding practices.
• Familiarity with Agile methodologies and collaboration tools (e.g., Jira, GitLab, Confluence).
• Good problem-solving skills, with the ability to work independently and in teams.
• (Bonus) Experience with cloud environments (AWS, Azure) or real-time/IoT systems.

What We Offer

• Opportunity to work on meaningful public sector digital initiatives.
• A supportive, purpose-driven team culture.
• Structured career development and technical upskilling.
• Access to modern tools, cloud technologies, and secure DevSecOps environments.

Additional Information

Shortlisted applicants may be involved in classified or sensitive projects that require handling of restricted information. As such, selected candidates will be required to undergo a security clearance process as part of the employment consideration.

[2026 Internship] Software Engineer Intern

Duration: Full-time Internship (6-month period)

At Codex Solutions, we’re on a mission to explore what’s next in AI — building smart systems that automate, enhance, and inspire.

As a Software Engineer, you’ll be part of a hands-on team experimenting with AI technologies while applying core software engineering fundamentals to design, build, and test real systems. You’ll work at the intersection of software development and applied AI, learning how modern AI capabilities are engineered into reliable, maintainable applications.

You’ll get to explore, prototype, and implement AI-driven solutions that streamline work, amplify human capability, and bring real value to the organisation. If you enjoy writing code, breaking problems down into logical components, and turning ideas into working software, this internship is for you.

Why This Matters

AI is changing how organisations operate — automating routine tasks, enabling smarter decisions, and freeing people to focus on what truly matters.

This internship gives you the opportunity to apply software engineering principles to AI-enabled systems, designing and building tools that support corporate automation while learning how real-world software is developed, tested, and improved over time.

What To Expect:

1. Design, develop, and prototype software applications that incorporate AI technologies such as Generative AI, Agentic AI, and automation frameworks, with a focus on corporate process automation.

2. Build and test intelligent systems such as AI-powered software components such as assistants, workflow bots, APIs, and automation services to improve internal operations.

3. Collaborate with cross-functional teams to identify high-impact business areas where AI can drive efficiency and innovation.

4. Develop and refine AI-enabled workflows, including prompt design, LLM integration, and retrieval augmented generation (RAG) pipelines.

5. Support the full lifecycle of end-to-end software and AI implementation from ideation and proof-of-concept to testing, deployment, and continuous improvement.

6. Stay curious about emerging AI and software development trends, sharing insights and experimental findings with the wider team.

Requirements

During the internship, you will get to learn and experience:

• How to apply software engineering fundamentals (modular design, basic architecture thinking, debugging, and testing) when building AI-enabled systems.
• Hands-on experience experimenting with different AI models, APIs, and frameworks, and integrating them into working software applications.
• The fundamentals of Generative AI and Agentic AI, and how they can be applied to solve real business challenges.
• Practical skills in coding, API integration, AI prototyping, and prompt engineering, with exposure to how AI systems fit into existing applications and workflows.
• An introduction to responsible, secure, and ethical AI development, including awareness of data handling and system limitations.

Job Summary

We are seeking an experienced AWS Cloud Network Engineer with strong expertise in Infrastructure as Code (Terraform) and CI/CD automation. The ideal candidate will be responsible for designing, implementing, automating, and optimizing AWS cloud network infrastructure using Terraform-driven deployments. This role requires deep hands-on experience in AWS networking, strong troubleshooting skills, and the ability to enhance and maintain scalable cloud network environments.

Responsibilities

• Design, implement, and manage AWS cloud network infrastructure using Terraform. Create and modify Virtual Private Clouds (VPCs), subnets, route tables, gateways, and related networking components.
• Develop and implement subnet strategies (public, private, and isolated subnets).
• Configure and maintain Load Balancers (ALB/NLB), including listeners and target groups.
• Manage and optimize Security Groups and Network Access Control Lists (NACLs).
• Implement approved network designs using Terraform modules and CI/CD pipelines.
• Develop new Terraform modules and enhance existing ones to improve scalability and reusability.
• Refactor, clean up, and optimize existing Terraform code to eliminate technical debt.
• Enhance automation capabilities for infrastructure provisioning and configuration.
• Support cloud migration activities and ensure smooth transition to new environments.
• Troubleshoot complex AWS networking issues and provide root cause analysis.
• Ensure adherence to security best practices and organizational standards.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Minimum 5 years of experience in AWS Cloud infrastructure with strong focus on networking.
• Extensive hands-on experience with: VPC design and configuration, Subnetting strategies, Route tables and gateways (IGW, NAT), Load Balancers (ALB/NLB), Security Groups and NACLs
• Strong expertise in Terraform: Writing reusable modules, Managing remote state, Code refactoring and optimization
• Experience with CI/CD pipelines for infrastructure deployment.
• Strong troubleshooting and analytical skills.
• Experience supporting cloud migration initiatives.
• Solid understanding of networking fundamentals (CIDR, DNS, routing, firewalls).
• Experience in enterprise-scale AWS environments.
• Familiarity with DevOps practices and Git-based workflows.
• Experience implementing security best practices in cloud environments.

Role: Senior / DeltaV Programmer - LSMG

Responsibilities

• Responsible for the design and delivery of DeltaV application system on site.
• Participate in the development and implementation of Automation solutions in line with S88 standards for the plant.
• Creates and maintains applications according to technical design and requirements.
• Develop and/or review System Development Life Cycle (SDLC) deliverables, compliant with the site’s standards. Determine the processes and data flow that supports the needs of the project.
• Design & Develop plan for modifications to be made to the system through working with team in development of systems architecture, specifications, controls strategies, sequence of operations through all stages.

Requirements

• Experience in a similar role, ideally in the Pharmaceutical and/or Biotechnology industry.
• Emerson DeltaV DCS system experience and DeltaV Batch experience required
• Experience in the Designing and commissioning of DeltaV DCS project for GMP manufacturing site.
• Technical proficiency on controls systems including familiarity with control panels, networking, panel/field wiring and PLC control systems.
• Through understanding of Batch s88 standards (CM, EM, Phases, Recipes, Units etc)
• Familiarity with GAMP lifecycle and quality management processes employed in the pharmaceutical sector
• Ability to work well in a team environment
• Supervise and conduct system testing Factory Acceptance Test (FAT)
• Excellent computer skills, proficient in the use of the following Microsoft tools: Excel, SharePoint, Word and PowerPoint.
• Excellent communication and customer orientation skills
• Good analytical & problem-solving skills
• Ensure project Automation Strategy is followed.

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

Role Overview

The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will leverage expertise in machine learning, deep learning, and emerging AI technologies to enhance product offerings, optimize operations, and drive innovation across customer experiences.

Key Responsibilities

• Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
• Lead the full solution lifecycle: problem identification, data collection, analysis, modeling, validation, and deployment of production-grade systems.
• Research and experiment with emerging academic ideas to solve new business problems and improve existing solutions.
• Define and implement deployment strategies for AI solutions in cloud infrastructure at scale.
• Drive technical design reviews, ensuring high-quality, maintainable code and integration with CI/CD pipelines.
• Provide mentorship to junior team members and foster technical excellence across the team.
• Actively contribute to business and technical forums, influencing strategy and innovation.

Qualifications

• Advanced degree in Computer Science, Engineering, Statistics, Mathematics, or related quantitative discipline
• Proven track record of impactful research, with publications or patents a plus.
• Extensive experience building and deploying sophisticated AI/ML solutions at scale.
• Expertise in one or more fields: Generative AI, Deep Learning, NLP, Reinforcement Learning, Recommendation Systems, Bayesian Inference, or advanced time series forecasting.
• Hands-on experience with open-source tools and frameworks, including Airflow, Kubeflow, Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Scikit-learn, and feature stores.
• Good programming skills in Python, Java, Scala, or Julia, with proficiency in modern IDEs and ML libraries.
• Solid understanding of agile methodologies, with experience leading projects in dynamic environments.
• Excellent communication and leadership skills, with the ability to collaborate across technical and non-technical teams.
• Experience with cloud platforms (GCP, AWS) is a plus.

Thank you for your interest!

We respect your privacy andall communication will be treated with confidentiality. If you wish to knowmore about this position or explore other roles, please prepare your updatedprofile and get in touch with our consultant at  cristina.malijan@manpower.com.sg

CristinaMalabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement andcommunications with us pursuant to this advertisement will constitute informedconsent to the collection, use and/or disclosure of personal data byManpowerGroup Singapore for the purpose of carrying out its business, incompliance with the relevant provisions of the Personal Data Protection Act2012. To learn more about ManpowerGroup's Global Privacy Policy, please visithttps://www.manpower.com.sg/privacy-policy

You will act as a key technical and commercial driver within the production process, ensuring both operational efficiency and margin protection. Internally, you will optimise manufacturing feasibility through a strong understanding of machinery capabilities, material utilisation, and scrap control. Externally, you will collaborate with Main Contractors’ technical teams to review drawings, propose practical alternatives, and validate manufacturability. In addition, you will apply your expertise to accurately assess and secure applicable processing and logistics surcharges, ensuring all entitled revenue is captured and aligned with the company’s profitability objectives.

1. BBS Review & Technical Interception (Cut & Bend)

Feasibility Review
Receive Bar Bending Schedules (BBS) from clients via the MES system or email, and conduct manufacturability reviews within the stipulated timeframe.

Technical Interception
Identify and intercept abnormal items in the BBS that exceed the physical limitations of the factory’s machinery (e.g., extremely tight bending radii, ultra-short lengths that cannot be processed) before they reach the production stage.

Technical Clarification & Modification
Upon identifying unmanufacturable drawings, promptly communicate with the client’s site engineers to propose alternative fabrication solutions (e.g., adjusting bending radii or modifying joint designs). Production orders are released only after mutual agreement is obtained.

2. Rebar Cage Detailing & Nesting Optimisation

Detailing & Drafting
Prepare detailed fabrication drawings, internal BBS breakdowns, and 3D exploded views (where required) based on structural drawings and client requirements. Ensure drawings achieve first-time approval and sign-off from clients.

Nesting Optimisation (Core Profit Driver)
Utilise professional nesting software to optimise material usage through scientific cutting plans and offcut management for rebar cages and daily orders. Strictly control theoretical scrap rates in line with company targets.

On-site Fabrication Guidance
Provide on-site technical support for complex or newly designed rebar cages by guiding welding operators or manual tying teams during first-article assembly and jig setup.

3. Surcharge Calculation & Front-line Billing

Batch Pricing
Collect and verify Delivery Orders (DO) from logistics drivers, ensuring accurate “Time In” and “Time Out” stamps acknowledged by the client.

Profit Recovery
Integrate BBS processing data with DO timestamps to calculate applicable charges, including:

• Technical surcharges (special processing fees)

• Logistics surcharges (waiting time/demurrage, weekend or night delivery fees)

Client Confirmation & Handover
Explain surcharge breakdowns to client site technicians or supervisors, obtain written or email confirmation, and submit finalised records to the Commercial Back-office for monthly billing.

· Azure Data Factory (ADF) – metadata-driven pipelines

· Basic Cloudera working knowledge

· Cloudera → Cloud migration (mandatory)

· Large-volume historical data migration

· Azure Databricks (Spark / SQL)

· Data reconciliation and audit sign-off

· Framework-based data ingestion / migration

Good-to-Have

· Azure Data Box–based migration experience

· Bulk history extraction using Data Box

· Landing data into ADLS Gen2

· Processing history in Databricks (Delta)

· Orchestrating incrementals via ADF

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

Working Hours

Location - Jurong East

Working Hour - 5.5 days per week

Salary Range - Up to SGD 4,500 per month + VB + Comm + $500 Petrol Allowances

Responsibilities

• Identify and pursue new business opportunities through market research, networking, and proactive outreach
• Stay up to date with industry trends, products, and services to provide value-added solutions.
• Develop and execute sales strategies to achieve company targets.
• Prepare accurate sales reports and forecasts for management.
• Work closely with the operations team to ensure smooth service delivery and customer satisfaction.
• Handle client issues promptly to ensure long-term relationships.
• Represent the company at trade shows, conferences, and industry events to expand networks.

Requirements

• Min Diploma in Business, Engineering, Environmental Science, or related field preferred.
• Min 3 years of sales experience, related in waste management / Oil & Gas / Chemical
• Must possess own license & vehicle

Email resume to chiewjie@recruitlync.com or WhatsApp +65 87848422 (No calling, thanks!)
Good Luck! Only shortlisted candidates would be notified.
Recruit Lync Pte Ltd 22C1000
Lim Chiew Jie R25157870

At Lionsbot, you’ll be part of the Autonomy team in development of perception software stack to achieve best performance autonomy. You will be responsible for designing and implementing key modules for the robotics perception stack, ranging from sensor evaluation, sensor calibration, perception algorithms development and integration with navigation stacks.

Within the autonomy team, you’ll have independent deliverables and will be expected to take full ownership of executing them. Some of the key responsibilities:

Key Responsibilities

• Design and implement key CV and Deep Learning algorithms to enhance scene understanding and robot perception.
• Develop and optimize 3D pointcloud-based feature detection, tracking, and segmentation pipelines
• Develop robust sensor calibration pipelines
• Train, tune, and deploy deep learning models for object detection and semantic segmentation
• Calibrate and tune perception sensors (LiDAR, RGBD, stereo cameras) for robust performance in real-world conditions
• Collaborate closely with teammates from navigation and SLAM teams to deliver high-quality autonomous software stacks that powers next generation cleaning robots.
• Produce clean, efficient, and well-tested C++ and Python code
• Contribute to technical documentation, testing infrastructure, and team knowledge sharing

Qualifications & Experience

• Bachelor’s or Master’s degree in CS, Robotics, or a related field (or PhD with relevant focus)
• 3+ years of industry experience in robotics perception or applied computer vision
• Proficient in data structures, algorithms and software design
• Proficient in C++ and Python development on Linux
• Hands-on experience with Deep Learning frameworks such as, PyTorch or TensorFlow
• Familiarity with 2D/3D sensor processing and related libraries such as OpenCV, PCL, etc
• Strong theoretical understanding of Deep Learning (DL) models related to Computer Vision (CV).
  • Knowledge of common image classification, object detection and tracking algorithms.
  • Familiarity with recent research trends in DL/CV.
• Experience working with ROS1 / ROS2
• Experience working with sensor modalities such as Stereo Cameras, RGBD cameras and 2D/3D Lidars.

If you have a passion for driving meaningful operational improvements, excel at analytical problem-solving, and thrive in a dynamic scaleup atmosphere, we invite you to join LionsBot and help shape the future of robotics innovation.

Key Responsibilities

• Lead and perform end-to-end Software Development Life Cycle (SDLC) activities, including design, development, implementation, testing, deployment, maintenance, and documentation.
• Design, develop, and deliver high-quality, scalable, and secure software applications to meet business and operational requirements.
• Architect and implement robust backend systems, APIs, and microservices using modern frameworks and best practices.
• Manage the installation, configuration, customization, and deployment of enterprise applications, software services, and cloud-based platforms.
• Develop and optimize database schemas, queries, and integrations across multiple database systems.
• Ensure application performance, scalability, reliability, and security through code reviews, testing, and monitoring.
• Troubleshoot, debug, and resolve complex technical issues in development, testing, and production environments.
• Collaborate with cross-functional teams to gather, analyze, and refine user requirements and translate them into technical solutions.
• Drive and support DevOps practices, including CI/CD pipeline implementation, build and release automation, and environment management.
• Work in air-gapped or high-security environments, ensuring compliance with security and operational standards.
• Participate actively in Agile methodologies (e.g., Scrum), including sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to technical leadership, best practices, and continuous improvement initiatives.

Requirements

• Minimum 6 years of relevant software development experience in enterprise or large-scale systems.
• Strong proficiency in programming languages: Java, JavaScript, SQL.
• Hands-on experience with backend frameworks such as Java Spring Boot and/or .NET / .NET Core.
• Solid experience with database technologies: MongoDB, MSSQL, Oracle (data modeling, performance tuning, query optimization).
• Experience in designing and developing RESTful APIs and microservices architectures.
• Practical knowledge of DevOps tools and collaboration platforms: GitHub, GitLab, Azure DevOps.
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with cloud platforms and deployment models.
• Experience working in Linux/Unix environments and scripting (e.g., Shell scripting).
• Knowledge of message queues and streaming platforms such as RabbitMQ or Apache Kafka is an advantage.
• Exposure to Big Data technologies (e.g., Hadoop) is a plus.
• Strong understanding of secure coding practices and application security principles.
• Experience working in Agile/Scrum environments.
• Excellent problem-solving, analytical, and communication skills.

Location: Tampines

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Responsibilities

• Operate and maintain HPC network fabric and data centre switching infrastructure, ensuring performance and reliability
• Manage network configuration, monitoring, backups, and capacity/utilisation reporting
• Troubleshoot and resolve network issues across Layer 2/3, routing, and switching environments
• Support SDN, firewall, and VPN administration to ensure secure and stable operations
• Work closely with system, storage, and security teams to optimise overall cluster performance
• Participate in on-call rotation to support critical network incidents and escalations
• Maintain network documentation, runbooks, and change records in line with ITIL practices

Requirements

• At least 2 years of experience in network support, monitoring, or troubleshooting within enterprise or HPC environments
• Hands-on experience with data centre networking, SDN, firewalls, and VPN technologies
• Strong understanding of TCP/IP, VLANs, and routing protocols such as OSPF and BGP
• Familiar with network monitoring tools and able to troubleshoot effectively under pressure

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

Senior Software Engineer

As a Senior Software Engineer, you will be part of an Agile, cross-functional team responsible for designing and developing mission-critical digital platforms for the public sector. You will work across the full technology stack, building responsive front-end applications and robust backend services that are secure, scalable ,and reliable.

Key Responsibilities

• Design, develop, and deliver scalable, high-quality features across the full technology stack. This includes responsive front-end applications (portal plugins using Next.js, Redux, and JavaScript/TypeScript) and backend services (Java, Python, C++).
• Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, code reviews, and retrospectives to drive continuous improvement.
• Collaborate closely with QA, UI/UX, and DevOps teams to ensure technical robustness, performance, and user-centric design.
• Implement and maintain unit and integration tests to support automated testing and CI/CD pipelines.
• Troubleshoot, debug, and resolve software defects and production issues in a timely and efficient manner.
• Maintain high coding standards through code reviews, proper documentation, and adherence to secure coding best practices.
• Contribute to system architecture design and integration with government authentication or data exchange platforms.

Job Requirements

• Minimum 4–6 years of hands-on experience in software development.
• Proficiency in at least one backend programming language: Java, Python, or C++.
• Experience in front-end development using Next.js, Redux, and JavaScript/TypeScript.
• Strong understanding of RESTful API design, object-oriented programming, and secure coding practices.
• Familiarity with Agile methodologies and collaboration tools such as Jira, GitLab, and Confluence.
• Strong analytical and problem-solving skills, with the ability to work both independently and collaboratively.
• Experience with cloud platforms ( AWS, Azure) or exposure to real-time/IoT systems.

(EA Reg No:20C0312)

Please email acopy of your detailed resume to abegail@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

The Managed Services Cross Technology Engineer (L2/L3) –Network / Security Automation is a developing or seasoned engineering role,responsible for providing a managed service to clients to ensure that their ITinfrastructure and systems remain operational.

Through the proactive monitoring, identifying,investigating, and resolving of technical incidents and problems, the ManagedServices Cross Technology Engineer (L2/L3) is able to restore service toclients.

The primary objective of this role is to proactively work onautomation aspects of work focusing on Network / Security relating to theoperations. Also to work on client requests or tickets and applytechnical/process knowledge to resolve them without breaching service levelagreement (SLA).

The Managed Services Cross Technology Engineer (L2/L3)focuses on second-line support for incidents and requests with a medium levelof complexity and focusses across two or more technology domains - Cloud,Security, Networking, Applications and / or Collaboration etc.

This role may also contribute to / support on project workas and when required.

Key Responsibilities:

·       Network - Automate the provisioning, configuration, and testing of network infrastructure(routers, switches, firewalls, load balancers).

·       Develop and maintain CI/CD pipelines specifically for networkcode and configurations.

·       Utilize Infrastructure as Code (IaC) tools like Terraform orAnsible for network deployment.

·       Implement network monitoring and logging solutions to ensure highavailability and performance.

·       Maintain Git repositories for all network configurations andautomation scripts.

·       Collaborate with traditional Network and Software Engineering teams todesign scalable and reliable networks.

·       Focus on continuous improvement, pushing for a code-centric approachto network operations.

·       Security – Automate - Embed security testing and compliance checks earlyinto the CI/CD pipeline (Shift Left).

·       Implement automated security tools for SAST, DAST, SCA, andinfrastructure vulnerability scanning.

·       Manage and maintain security tools like WAFs, IDS/IPS, and CloudSecurity Posture Management (CSPM).

·       Develop and enforce security policies using Policy as Code (PaC).

·       Automate incident response and security monitoring throughlogging and alerting systems.

·       Conduct regular threat modeling and security reviews for newfeatures and infrastructure changes.

·       Educate and collaborate with Development and Operations teams on securecoding practices and security awareness.

·        

• Proactively monitors the work queues.
• Performs operational tasks to resolve all incidents/requests in a timely manner and within the agreed SLA.
• Updates tickets with resolution tasks performed.
• Identifies, investigates, analyses issues and errors prior to or when they occur, and logs all such incidents in a timely manner.
• Captures all required and relevant information for immediate resolution.
• Provides second level support to all incidents, requests and identifies the root cause of incidents and problems.
• Communicates with other teams and clients for extending support.
• Executes changes with clear identification of risks and mitigation plans to be captured into the change record.
• Follows the shift handover process highlighting any key tickets to be focussed on along with a handover of upcoming critical tasks to be carried out in the next shift.
• Escalates all tickets to seek the right focus from CoE and other teams, if needed continue the escalations to management.
• Works with automation teams for effort optimization and automating routine tasks.
• Ability to work across various other resolver group (internal and external) like Service Provider, TAC, etc.
• Identifies problems and errors before they impact a client’s service.
• Provides Assistance to L1 Engineers for better initial triage or troubleshooting.
• Leads and manages all initial client escalation for operational issues.
• Contributes to the change management process by logging all change requests with complete details for standard and non-standard including patching and any other changes to Configuration Items.
• Ensures all changes are carried out with proper change approvals.
• Plans and executes approved maintenance activities.
• Audits and analyses incident and request tickets for quality and recommends improvements with updates to knowledge articles.
• Produces trend analysis reports for identifying tasks for automation, leading to a reduction in tickets and optimization of effort.
• May also contribute to / support on project work as and when required.
• May work on implementing and delivering disaster recovery functions and tests.
• Performs any other related task as required.

Knowledge and Attributes:

• Ability to communicate and work across different cultures and social groups.
• Ability to plan activities and projects well in advance, and takes into account possible changing circumstances.
• Ability to maintain a positive outlook at work.
• Ability to work well in a pressurized environment.
• Ability to work hard and put in longer hours when it is necessary.
• Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting.
• Ability to adapt to changing circumstances.
• Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey.

Academic Qualifications and Certifications and Tools:

• Bachelor's degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience).
• Certifications relevant to the services provided (certifications carry additional weightage on a candidate’s qualification for the role).
• Relevant certifications include (but not limited to) -
• CCNP or equivalent certification
• CCNA certification in must, CCNP in Security or PCNSE certification is good to have

·       Fortinet

·       RSA

·       Tenable

·       Trend Micro

·       F5