Systems Engineer Salary at Tech Vedika BETA

How much does a Tech Vedika Systems Engineer make?

As of April 2025, the average annual salary for a Systems Engineer at Tech Vedika is $131,751, which translates to approximately $63 per hour. Salaries for Systems Engineer at Tech Vedika typically range from $121,929 to $141,906, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Tech Vedika Overview

Website:
techvedika.com
Size:
50 - 100 Employees
Revenue:
$10M - $50M
Industry:
Software & Networking

We are an Artificial Intelligence (AI) focused product engineering company providing our customers with futuristic solutions powered by 'humanised' AI harnessing Big Data Analytics, IoT and Web/Mobility services. We strive for simple, elegant tech solutions in response to complex tasks. As a scalable technology partner we enable organizations to improve operational efficiency and unleash new business potential.

See similar companies related to Tech Vedika

What Skills Does a person Need at Tech Vedika?

At Tech Vedika, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Systems Engineering: Systems Engineering is a transdisciplinary and integrative approach to enable the successful realization, use, and retirement of engineered systems, using systems principles and concepts, and scientific, technological, and management methods.
  2. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  3. Linux: Managing a system's hardware and resources using a Unix-like open-source operating system.
  4. Troubleshooting: Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms. Determining the most likely cause is a process of elimination—eliminating potential causes of a problem. Finally, troubleshooting requires confirmation that the solution restores the product or process to its working state. In general, troubleshooting is the identification or diagnosis of "trouble" in the management flow of a system caused by a failure of some kind. The problem is initially described as symptoms of malfunction, and troubleshooting is the process of determining and remedying the causes of these symptoms. A system can be described in terms of its expected, desired or intended behavior (usually, for artificial systems, its purpose). Events or inputs to the system are expected to generate specific results or outputs. (For example, selecting the "print" option from various computer applications is intended to result in a hardcopy emerging from some specific device). Any unexpected or undesirable behavior is a symptom. Troubleshooting is the process of isolating the specific cause or causes of the symptom. Frequently the symptom is a failure of the product or process to produce any results. (Nothing was printed, for example). Corrective action can then be taken to prevent further failures of a similar kind.
  5. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.

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Check more jobs information at Tech Vedika

Job Title Average Tech Vedika Salary Hourly Rate
2 Human Resources $86,922 $42
3 Human Resources Consultant $123,227 $59
4 Senior Marketing Executive $404,551 $194
5 Senior Quality Assurance Engineer $118,211 $57
6 Software Engineer $140,371 $67
7 Data Scientist $135,093 $65
8 HR Specialist $86,922 $42
9 Lead UI & UX Designer $181,804 $87
10 Senior Accounts Executive $102,520 $49
11 Senior Software Analyst $163,904 $79
12 Senior Test Engineer $121,163 $58
13 Software Analyst $140,371 $67

Hourly Pay at Tech Vedika

The average hourly pay at Tech Vedika for a Systems Engineer is $63 per hour. The location, department, and job description all have an impact on the typical compensation for Tech Vedika positions. The pay range and total remuneration for the job title are shown in the table below. Tech Vedika may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $131,751 look to you?

FAQ about Salary and Jobs at Tech Vedika

1. How much does Tech Vedika pay per hour?
The average hourly pay is $63. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Tech Vedika?
According to the data, the highest approximate salary is about $141,906 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Tech Vedika?
According to the data, the lowest estimated salary is about $121,929 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.