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What is the average salary of a software engineer at GCCs? – Brand Wagon News
The average salary of a software engineer at GCCs (Global Capability Centres) ranges from $18000 to $ 45000 for someone with an experience of more than seven years, revealed ANSR report. Reportedly, those with experience of three to seven years earn between $8,750 to $27,500 while the ones with fresher to three years of experience earn between $7000 to $14,000.
The salary ranges for various tech roles vary significantly based on experience levels. For positions such as Front End Developer, entry-level professionals with zero to three years of experience can expect to earn between $7,000 and $14,000 annually. As they gain more experience, the salary for those with three to seven years jumps to a range of $8,750 to $27,500, while seasoned professionals with seven to 10 years of experience can earn between $18,000 and $45,000, the report added.
It further revealed that GCCs plan to hire 50% more freshers as compared to last year while also showcasing trends that revealed that only mature GCCs with non-tech roles recruit freshers for affiliate roles such as finance, marketing, HR, etc. Additionally, it was also found that core tech positions are filled by product companies or peer GCCs.
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Job Role | Exp. 0-3 Years | Exp. 3-7 Years | Exp. 7-10 Years |
Software Engineer | $7000 – $14,000 | $8,750 – $27,500 | $18,000 – $45,000 |
Front-End Developer | $7,000 – $14,000 | $8,750 – $27,500 | $18,000 – $45,000 |
Back-End Developer | $7,500 – $15,000 | $10,000 – $31,250 | $20,000 – $48,500 |
Mobile App Developer | $9,000 – $16,500 | $12,000 – $37,500 | $24,000 – $52,500 |
Full-Stack Developer | $8,500 – $16,500 | $11,000 – $36,250 | $23,000 – $50,000 |
Python Developer | $7,500 – $15,000 | $10,000 – $37,500 | $23,000 – $50,000 |
Machine Learning Engineer | $10,000 – $18,750 | $15,000 – $52,500 | $38,000 – $75,000 |
Data Scientist | $10,000 – $18,750 | $15,000 – $52,500 | $38,000 – $75,000 |
Data Analyst / BI Analyst | $8,750 – $17,500 | $12,500 – $50,000 | $38,000 – $68,750 |
NLP Engineer | $10,000 – $18,750 | $15,000 – $52,500 | $38,000 – $75,000 |
Computer Vision Engineer | $10,000 – $22,500 | $15,000 – $52,500 | $38,000 – $75,000 |
RPA Engineer | $8,750 – $18,750 | $12,500 – $40,000 | $28,000 – $57,000 |
Cloud Engineer | $10,000 – $21,500 | $14,000 – $44,000 | $31,500 – $62,500 |
DevOps Engineer | $8,750 – $16,250 | $12,000 – $40,000 | $24,000 – $53,750 |
Cybersecurity Analyst | $7,000 – $17,500 | $9,000 – $35,000 | $19,000 – $47,500 |
Cybersecurity Architect | NA | $15,000 – $47,500 | $36,000 – $77,500 |
Threat Detection Engineer | $8,500 – $18,500 | $10,000 – $43,750 | $22,500 – $55,000 |
Blockchain Developer | $9,000 – $20,000 | $11,000 – $45,000 | $24,000 – $56,250 |
IoT Engineer | $6,500 – $12,500 | $9,500 – $40,000 | $22,000 – $52,500 |
UX Designer | $7,500 – $13,750 | $9,000 – $32,000 | $19,000 – $46,250 |
Product Manager | NA | $15,000 – $50,000 | $21,000 – $68,750 |
Data Source: ANSR
Back-End Developers also see a similar trend in salary progression. For those starting out, the salary range is between $7,500 and $15,000. As experience increases to three to seven years, salaries rise from $10,000 to $31,250, and for those with seven to 10 years of experience, the range extends to $20,000 to $48,500. Furthermore, Mobile App Developers can expect starting salaries of $9,000 to $16,500, increasing to $12,000 to $37,500 for mid-level experience and reaching $24,000 to $52,500 for advanced professionals.
The report further added that Full-Stack Developers and Python Developers follow a similar pattern, with entry-level salaries ranging from $8,500 to $16,500 and $7,500 to $15,000, respectively. Mid-level salaries for these roles range from $11,000 to $36,250 for Full-Stack Developers and $10,000 to $37,500 for Python Developers. For those in Machine Learning Engineer roles, the salary ranges start at $10,000 to $18,750 for beginners, rising to $15,000 to $52,500 for mid-level professionals and reaching as high as $38,000 to $75,000 for those with extensive experience. This data highlights the competitive nature of the tech industry and the value placed on experience and skill development.
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