This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer-III based in India.

This role offers an opportunity to take ownership of complex backend engineering challenges within a rapidly scaling technology environment.

You will contribute to building reliable, AI-enabled logistics and ecommerce platforms that support global fulfillment operations.

The position combines hands-on software development with technical leadership, architecture decisions, and engineering mentorship.

You will work on critical systems involving inventory, order management, warehouse operations, and client integrations.

The role provides the chance to influence platform design from the early stages while collaborating with experienced engineers and cross-functional teams.

You will help shape scalable solutions that improve automation, operational efficiency, and customer experiences.

This is an ideal opportunity for an engineer who enjoys solving ambiguous problems and driving technical excellence.

Accountabilities

As a Software Engineer-III, you will play a key role in designing, developing, and improving backend systems while guiding technical decisions within your area of ownership. You will collaborate with engineering leaders, product teams, and operational stakeholders to build scalable solutions that support complex ecommerce and fulfillment workflows.

Lead the technical design and implementation of backend services across areas such as inventory management, order routing, warehouse operations, shipment tracking, returns, and client integrations.
Translate complex business requirements into clear technical plans, ensuring solutions align with broader platform architecture and long-term scalability goals.
Build and maintain reliable backend systems using modern engineering practices, including APIs, databases, distributed systems, and cloud-native architectures.
Drive AI-enabled capabilities within assigned workflows, helping integrate forecasting, anomaly detection, and automation features into production systems.
Collaborate with data and engineering teams to transform machine learning outputs into practical and reliable operational solutions.
Provide technical guidance through code reviews, architecture discussions, mentoring, and knowledge sharing with other engineers.
Improve engineering quality by establishing strong practices around testing, observability, documentation, reliability, and technical debt management.
Participate in cross-functional discussions with product, operations, and engineering stakeholders to communicate trade-offs, risks, and technical decisions.

Requirements

The ideal candidate is an experienced backend engineer with strong technical foundations, the ability to influence engineering decisions, and experience building scalable production systems. You should be comfortable working in fast-paced environments where requirements evolve and technical ownership is highly valued.

6-8+ years of experience building and delivering production-grade backend systems.
Experience leading technical direction for a team, project, or workstream through architecture reviews, mentoring, or engineering standards.
Strong knowledge of backend engineering fundamentals, including APIs, data modeling, databases, distributed systems, and service design.
Experience with cloud platforms, preferably AWS, and designing cloud-native applications.
Familiarity with event-driven architectures, including queues, streams, and asynchronous processing.
Strong debugging, testing, monitoring, and production support experience.
Ability to make sound technical decisions and influence teams without formal management authority.
Experience with ecommerce, order management, inventory, warehouse management, logistics, or fulfillment systems is highly preferred.
Familiarity with EDI standards, third-party integrations, or warehouse management system patterns is a plus.
Exposure to integrating machine learning outputs such as predictions, forecasts, or anomaly scores into application workflows is beneficial.
Strong written and verbal communication skills, especially in distributed and remote work environments.
Ability to balance hands-on engineering contributions with technical leadership responsibilities.

Benefits

Fully remote work opportunity with flexibility to work from home.
Opportunity to contribute to an AI-native ecommerce and logistics platform from an early stage.
Work on complex, high-impact engineering challenges supporting global operations.
Collaborative environment with experienced engineers, product leaders, and cross-functional teams.
Opportunities to grow technical leadership skills through architecture ownership and mentorship.
Access to modern engineering practices, cloud technologies, and innovative automation solutions.
Remote work setup support, including requirements for appropriate hardware and connectivity:
Computer with at least Intel i3 (4th generation or newer) or equivalent processor.
Minimum 4GB RAM.
Windows 10+ or macOS operating system.
Dual monitors.
Stable wired internet connection with at least 10 Mbps speed.
PC headset and HD webcam.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.