Software Engineer - Full Stack Development (Remote)
Uplers
Experience: 4.00 + years
Confidential (based on experience)
Shift : (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type : Remote
Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month)
(*AI/ML, Airflow, Cloud Infrastructure, react, Database, FullStack, Next Js, Python, Redis
This is a US is based organisation which is building next-generation, AI-native finance and accounting infrastructure for enterprises. Our mission is to fundamentally rethink how financial systems are built, operated, and scaled in the age of AI.
Venture-backed, working closely with seasoned leaders across technology, finance, and AI
A small, talent-dense team of engineers and domain experts
We are looking for a strong Software Development Engineer (Full Stack) - SDE II / SDE III who can own and ship complex features across the stack. You will work deeply on both backend systems and frontend experiences, taking problems from concept to production. You should be comfortable moving across layers — APIs, data models, business logic, UI-based, AI & Data pipelines on what the product needs at that moment.
Can move quickly without compromising quality
Are excited to learn new domains, tools, and technologies
Own end-to-end features — from system design and implementation to deployment and monitoring
Build scalable, secure backend services for finance and accounting workflows
Design and maintain data models and pipelines powering real-time, data-intensive applications
Build high-quality frontend experiences using React / Next.js with a strong focus on usability and performance
Collaborate closely with Product, Data, and Customer teams to translate complex finance use cases into robust software
4+ years of professional software engineering experience
Strong full-stack experience, with meaningful contributions to both frontend and backend systems
Solid frontend expertise with React, Next.js, or similar frameworks
Deep backend experience in Python, Go, Java, Node.js, or similar
Strong fundamentals in databases (PostgreSQL, MongoDB, or similar)
Good understanding of data pipelines and distributed data-heavy systems
Hands-on experience with cloud infrastructure (Azure, AWS, or GCP)
Experience at early-stage startups and/or large enterprises / big tech
Experience with Redis, message queues (e.g., Azure Service Bus, AWS SQS, etc.), Experience building or operating data orchestration frameworks (Airflow, Dagster, Temporal, etc.)
Experience building or integrating AI/ML-powered features
Experience building AI/ML-enabled products
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today.
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