Technical Support Engineer

AccioJob is conducting a Walk-In Hiring Drive with a Renowned IT Services company for the position of Cloud Engineer.

To apply, register and select your slot here: https://go.acciojob.com/U24WTf

Required Skills: Terraform, Kubernetes, Cloud Platforms

Eligibility:

• Degree: BTech./BE, MTech./ME, BCA, MCA, MSc, BSc.
• Branch: Computer Science/CSE/Other CS related branch, Electrical/Other electrical-related branches, IT
• Graduation Year: 2024, 2025

Work Details:

• Work Location: Mumbai (Onsite)
• CTC: 5 LPA to 6.5 LPA

Evaluation Process:

Round 1: Offline Assessment at Lokmanya Tilak College of Engineering

Further Rounds (for shortlisted candidates only):

• Technical Interview 1
• Technical Interview 2
• Technical Interview 3

Important Note: Bring your laptop & earphones for the test.

Register here: https://go.acciojob.com/U24WTf

Job Description: Digital Marketing Specialist

Position: Digital Marketing Specialist

Location: Faridabad

Reports to: Marketing Manager

Type: Full-Time

Working Hours: 9 AM to 6 PM, Sunday Week Off

Salary: ₹15k-20k per month

Job Summary:

The Digital Marketing Specialist will be responsible for developing and implementing online marketing strategies to promote the company’s brand, products, and services. The role focuses on driving website traffic, generating leads, and increasing overall brand awareness through various digital channels.

Key Responsibilities:

• SEO & SEM: Optimize website content for search engines and manage pay-per-click (PPC) campaigns using tools like SEMrush.

• Social Media Management: Create, curate, and manage published content across all social media platforms.

• Content Marketing: Develop and implement content strategies including blogs, newsletters, and multimedia content.

• Email Marketing: Design and execute email campaigns to engage and nurture leads.

• Analytics & Reporting: Track, analyze, and report on the effectiveness of marketing efforts using tools like Google Analytics and SEMrush.

• Campaign Management: Plan and execute digital ad campaigns, including Google Ads, social media ads, and display advertising.

• Website Management: Oversee the company’s website, ensuring an optimized user experience and regularly updated content.

• Graphic Design & Video Editing: Create visually engaging content using tools like Canva and edit marketing videos as needed.

• Collaboration: Work closely with the sales and design teams to create and align marketing strategies.

Qualifications:

• Bachelor’s degree in Marketing, Business, or related field.

• 2-4 years of experience in digital marketing.

• Proficient in SEO, SEM, Google Analytics, and SEMrush.

• Experience with digital ad platforms (Google Ads, Facebook Ads, etc.).

• Knowledge of Canva for design and video editing software.

• Strong analytical, communication, and content creation skills.

• Knowledge of HTML, CSS, and website management is a plus.

We are seeking a Azure Infrastructure Engineer to join our team. This role involves deploying, managing, and optimizing Azure resources while ensuring their security, performance, and compliance. The engineer collaborates with clients, cross-functional teams, and senior engineers to provide exceptional support for our managed services client portfolio.

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Responsibilities:

• Assist in the deployment and configuration of Azure resources, including virtual machines, databases, and Azure App Services following best practices and client requirements.
• Utilize Azure Migrate to assist with migration projects.
• Monitor the performance, security, and availability of Azure services and promptly address any issues or outages.
• Perform server updates and apply security patches.
• Identify future engagement opportunities during existing client engagements and convey those needs to account executives and practice leadership.
• Participate in an on-call rotation.
• After hours / weekend work may be a required.
• All other duties as assigned.

Requirements:

• Advanced degree or relevant certifications in Information Technology, or a related field are a plus.
• Accountability to drive resolution to completion.
• Familiarity with the Azure Portal.
• Knowledge of Microsoft Office 365 suite, including Outlook, SharePoint, Teams, and OneDrive.
• Troubleshoot and resolve common problems efficiently.
• Proficiency in scripting languages (PowerShell / Azure CLI) to automate tasks, deploy resources, and manage Azure infrastructure.
• Familiarity with cloud computing concepts, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Effective verbal and written communication skills to collaborate with clients, team members, and stakeholders.

Preferred Knowledge, Skills, and Abilities:

• Two or more years in IT or working with cloud technology.
• Experience working for an MSP.
• Ability to identify and resolve common Azure-related issues, including network configurations, security settings, and performance optimization.
• Create detailed documentation for configurations, troubleshooting procedures, and solutions.

Benefits:

• Work Location: Remote
•  days working

You can apply directly through the link: https://zrec.in/mnWs1?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

Job Description: Network Fresher

Role: Network Fresher

Experience: Fresher (Will be working as a Trainee for 1 year)

Location: Bangalore

Notice Period: Immediate

Shift Timings and Working Days: Rotational Shifts & 6 Days working (complete work from office)

Current Location: Candidates must be currently located in Bangalore

Required Skills:

• Basic understanding of networking concepts and protocols.
• CCNA training is mandatory.
• Knowledge of Linux, server management, AWS, and cloud computing.
• Strong analytical and problem-solving skills.
• Ability to work in rotational shifts.
• Excellent verbal and written communication skills.

Educational Qualification:

• Graduation must (B.Tech / B.Sc / B.E / BCA). Candidates should have a provisional or passing certificate.

JOB DESCRIPTION – Technical Support 

Educational Qualification: Bachelor’s / Masters, CCNA Certification Experience: Fresher / 1 Year 

Job Location: Delhi (Posist Head Office) 

About Posist Technologies: 

Posist (www.posist.com) is a B4B (Business-for-Business) company partnering with global restaurant chains in their digital transformation via its restaurant technology platform. It allows restaurant operators to automate operations, delight guests, grow revenues, and become prosperous. Posist powers 10,000+ restaurants in 50+ countries. Headquartered in New Delhi, Posist has a global presence spread across the US, UAE, Singapore, Thailand, UK, and Mexico.
 

Responsibilities: 

• Taking Client queries over Call / Email / Chat 
• Resolve the tickets via Call / Email / Chat/ Remote tools 
• Register Client queries in Ticketing Tool. 
• Follow-up with clients and with internal teams. 
• Resolve the issue within the SLA and Company guidelines. 
• Escalate the ticket to the respective team and follow-up. 
• Resolve the tickets related to Printers, Cash Drawer, networking and Posist product. ● Sending updates to clients related to reported queries. 
• Working in Rotational Shifts. 
• Creating troubleshooting documents. 
•  

Skills Required: 

• Good Communicable skills. 
• Should be able to work in 24*7 environment, Rotational Shifts (weekly offs will be there)
•  Practical knowledge of Hardware, network troubleshooting, Printer Installation (USB and network) 
• Good Decision making skills 
• Multitasking 
• Willing to work Cross teams 
• Should be a Team player 
• Should have Knowledge of Remote Tools 
• Good Skills to adapt any Software tool. 
• Documentation Skills is an add on.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.