Senior Software Engineer (India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Pandas, PySpark, AWS, SageMaker, Docker, Kubernetes, CI/CD, Jenkins, GitHub Actions, Observability, Monitoring, MongoDB, PostgreSQL, DynamoDB

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer (R12079) in India. As a Senior Software Engineer, you will play a pivotal role in designing and building self-serve platforms that integrate real-time ML deployment with advanced data engineering capabilities. You will develop scalable backend services, data pipelines, and APIs that empower teams to deploy and manage ML workflows efficiently. Your work will directly impact the performance, reliability, and observability of the platform, supporting critical business and analytical use cases. This role requires strong expertise in Python, cloud platforms, container orchestration, and data engineering frameworks. You will collaborate with cross-functional teams, mentor junior engineers, and contribute to architectural decisions while working in a dynamic, innovative, and mission-driven environment. \n Accountabilities Design, develop, and maintain self-serve platforms for real-time ML deployment and robust data workflows. Build and manage backend services and APIs using Python and FastAPI to orchestrate ML pipelines and data operations. Develop, optimize, and maintain ETL/ELT pipelines with PySpark and Pandas, ensuring high-quality data for ML training and deployment. Implement and maintain real-time ML inference platforms using tools such as AWS SageMaker and Databricks. Deploy CI/CD pipelines for automated testing, deployment, and monitoring of applications and data pipelines. Create and maintain technical documentation, including high-level and low-level architecture designs. Collaborate with cross-functional teams to gather requirements, solve complex problems, and deliver scalable solutions. Requirements 5–10 years of experience in IT, including 5–8 years in platform/backend engineering and at least 1 year in DevOps/data engineering roles. Hands-on experience with Python, Pandas, PySpark, FastAPI, and building distributed data pipelines. Proficiency with containerization and orchestration tools like Docker and Kubernetes. Strong knowledge of AWS services such as SageMaker, Lambda, DynamoDB, EC2, and S3. Experience with databases including MongoDB, PostgreSQL, MariaDB, and DynamoDB. Proficiency with CI/CD tools such as Jenkins and GitHub Actions, and automation frameworks. Experience with observability and monitoring tools such as New Relic. Excellent problem-solving, communication, and collaboration skills in cross-functional teams. Benefits Competitive salary and performance-based rewards. Flexible, remote-friendly work environment. Professional development opportunities including workshops and trainings. Exposure to advanced cloud-native platforms, ML deployment, and data engineering practices. Collaborative and inclusive culture with mentorship and growth opportunities. Participation in innovative, mission-driven projects that impact underserved communities. \n Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design and develop self-serve platforms for real-time ML deployment and robust data workflows. Collaborate with cross-functional teams to deliver scalable solutions and maintain technical documentation.