NOC / Monitoring Engineer
Voise Tech Ltd · Pune District, Maharashtra, India
- Hybrid
- Full-time
- $40,000 / year
- Pune District, Maharashtra, India
Job highlights
- Monitor programmatic advertising infrastructure health.
- Investigate data anomalies and operational issues.
- Utilize SQL for data investigation.
- Automate tasks with AI and scripting.
- Entry-level role with career launchpad potential.
About the role
About VoiseTech
VoiseTech is a UK-based technology company building AI-driven infrastructure across the full programmatic advertising ecosystem from ad serving and header bidding to DSPs, audience intelligence, and omnichannel campaign delivery. We are establishing our engineering hub in Pune, India. If you want founding-team ownership, global-scale impact, and a front-row seat to the future of adtech, this is your opportunity.The Role
VoiseTech is hiring entry-level Monitoring Engineers to be the first line of defence for our programmatic advertising infrastructure. You will track platform health, monitor auction performance and fill rates, investigate data anomalies, and escalate issues to the engineering team ensuring campaigns run reliably around the clock. This is a strong launchpad for a career in adtech engineering or cloud operations.What You Will Do
- Monitor real-time dashboards for platform health, latency, and auction performance
- Identify and triage anomalies in fill rates, bid data, and delivery metrics
- Raise and document incidents clearly, escalating to engineering when needed
- Run SQL queries to investigate data discrepancies and operational issues
- Use AI tools to automate routine monitoring tasks and generate operational reports
What We Are Looking For
- Strong SQL skills — queries, joins, aggregations for data investigation
- Comfort with AI and prompt engineering tools for task automation
- Basic scripting knowledge in Python or JavaScript is preferred
- Familiarity with monitoring dashboards and alerting systems
- Clear written communication and structured problem-solving
- Curiosity and eagerness to learn adtech and cloud infrastructure concepts
Qualifications
B.E. / B.Tech in Computer Science, Information Technology, Electronics, or a related discipline. Final year (8th semester) students are eligible. No active backlogs in engineering. 10th and 12th marks are not a selection criterion, skills and attitude take priority.Experience
0–1 year. Freshers welcome. Internship or project experience in data, monitoring, or software is a plus. Apply at www.voisetech.comKey skills/competency
- Monitoring Engineer
- SQL
- AI Tools
- Python
- JavaScript
- Monitoring Dashboards
- Alerting Systems
- Data Investigation
- Cloud Operations
- Adtech
Skills & topics
- Monitoring Engineer
- NOC Engineer
- Adtech
- SQL
- AI
- Python
- JavaScript
- Cloud Operations
- Data Analysis
- Entry Level
How to get hired
- Tailor your resume: Highlight SQL skills, AI tool experience, and any scripting knowledge.
- Showcase problem-solving: Emphasize analytical skills and structured approaches to issues in your application.
- Prepare for technical interviews: Be ready to demonstrate SQL query writing and discuss monitoring concepts.
- Research VoiseTech: Understand their AI-driven adtech ecosystem and express eagerness to learn.
- Highlight your attitude: Focus on your curiosity and willingness to grow in adtech and cloud operations.
Technical preparation
Practice SQL queries: joins, aggregations.,Familiarize with monitoring tools.,Learn basic Python or JavaScript.,Understand AI prompt engineering.
Behavioral questions
Describe a complex problem you solved.,How do you handle unexpected issues?,What motivates you to learn new tech?,How do you communicate technical problems?
Frequently asked questions
- What are the primary responsibilities of a Monitoring Engineer at VoiseTech?
- As a Monitoring Engineer at VoiseTech, your primary responsibilities will include monitoring real-time dashboards for platform health and performance, identifying and triaging anomalies in key metrics, documenting and escalating incidents, and using SQL and AI tools for data investigation and task automation.
- What technical skills are most important for this Monitoring Engineer role at VoiseTech?
- The most critical technical skills for this role are strong SQL proficiency for data investigation, comfort with AI and prompt engineering tools, and familiarity with monitoring dashboards and alerting systems. Basic Python or JavaScript scripting knowledge is also preferred.
- Is prior experience in adtech required for the Monitoring Engineer position at VoiseTech?
- No, prior experience in adtech is not strictly required. VoiseTech values skills and attitude, and this role is designed as a launchpad to learn adtech and cloud infrastructure concepts. Internship or project experience in data, monitoring, or software is beneficial but not mandatory.
- Can final year students apply for the Monitoring Engineer role at VoiseTech?
- Yes, final year (8th semester) students pursuing a B.E./B.Tech in Computer Science, Information Technology, Electronics, or a related discipline are eligible to apply for the Monitoring Engineer position at VoiseTech, provided they have no active backlogs.
- What is the career growth potential for a Monitoring Engineer at VoiseTech?
- This entry-level Monitoring Engineer role at VoiseTech is positioned as a strong launchpad for a career in adtech engineering or cloud operations. The company emphasizes founding-team ownership and global-scale impact, suggesting significant growth opportunities within the organization.
- How does VoiseTech use AI in the Monitoring Engineer role?
- VoiseTech leverages AI tools within the Monitoring Engineer role to automate routine monitoring tasks and generate operational reports. Candidates comfortable with AI and prompt engineering will find this aspect of the role appealing.
- What kind of data anomalies will a Monitoring Engineer investigate at VoiseTech?
- A Monitoring Engineer at VoiseTech will investigate anomalies in fill rates, bid data, and delivery metrics. This involves using SQL queries to understand discrepancies and operational issues impacting campaign performance.