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About The Role In this role, you will contribute to building scalable cloud-based data solutions and data processing pipelines on AWS. You will work on modern data and AI-related initiatives, supporting the development of reliable data platforms and processing frameworks while collaborating with cross-functional teams in a fast-paced and innovation-driven environment. This role offers opportunities to work with emerging technologies and experiment with new approaches to solving complex data challenges. Responsibilities Design, develop, and maintain scalable data processing pipelines and cloud-based data solutions on AWS Build and optimize data workflows using Python and SQL Develop solutions supporting large-scale data ingestion, transformation, and analytics workloads Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions Support batch and streaming data processing initiatives across different data domains Participate in architecture discussions and contribute to the continuous improvement of data platforms and engineering practices Explore and evaluate emerging technologies, frameworks, and approaches to improve solution quality and efficiency Contribute to the full project lifecycle, from discovery and prototyping to production implementation Collaborate within distributed teams and actively share knowledge and best practices Requirements 5+ years of experience in Data Engineering, Big Data, or related fields Strong proficiency in Python and SQL Hands-on experience developing data solutions on AWS cloud platform Experience designing and building scalable data pipelines and data processing solutions Knowledge of batch and streaming data processing concepts Strong analytical and problem-solving skills with the ability to quickly learn new technologies Demonstrating B2+ English level (written and spoken) to cover daily communication with the Team Experience with video, image, or audio processing pipelines for AI applications (as a plus) Experience with IoT data platforms and data processing solutions (advantageous) Familiarity with NVIDIA technologies, GPU-accelerated computing, or AI infrastructure (as a win) SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.