Python Developer

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

Job Title : SDE 2 – Node.js (Zendesk)

Experience : 8 to 12 Years

Location : Bengaluru (Tesco Main Campus, Whitefield)

Work Mode : Hybrid (3 Days Work From Office)

Employment Type : Contract to Hire (1 Year+ Project)

Open Positions : 2

Notice Period : Immediate / Serving Notice / Max 20 Days Joiners Preferred

Role Overview :

We are looking for an experienced SDE 2 – Node.js professional with strong expertise in backend development, API integrations, and web technologies. The ideal candidate should be skilled in building scalable applications and working within Agile environments.

Mandatory Skills :

Node.js, JavaScript, HTML/CSS, jQuery, API & Middleware Integration, Full Stack Development, Agile (Scrum/Kanban)

Key Responsibilities :

• Design, develop, and maintain scalable applications using Node.js and JavaScript.
• Build and manage system integrations using APIs and middleware.
• Work on frontend technologies such as HTML, CSS, and jQuery.
• Collaborate with cross-functional teams in Scrum/Kanban environments.
• Deliver high-quality, maintainable, and efficient code.
• Quickly adapt to new technologies and business requirements.

Required Skills :

• 8+ years of software development experience.
• Strong expertise in Node.js and JavaScript.
• Experience with HTML, CSS, and jQuery.
• Hands-on experience with API integration and middleware solutions.
• Exposure to Agile methodologies (Scrum/Kanban).
• Strong problem-solving and communication skills.

Good to Have :

• Experience with Zendesk or similar tools such as Freshdesk, ServiceNow, Salesforce Service Cloud, or HubSpot

Interview Process :

• L1 : Technical Assessment (via Barraiser/Intervue)
• L2 & Further Rounds : Client technical discussions (2+ rounds expected)

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Experience: 3-7 Years

Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Roles and Responsibilities:

• Must have experience in Microservice architecture with the ability to collaborate effectively with team members and build positive working relationships.
• Design and build and deploy APIs to meet business requirements.
• High level of commitment to business satisfaction and agility.
• Strong work ethic and a passion for the role, with a positive attitude and a willingness to learn.
• Communicate effectively with the tech lead to thoroughly understand the requirements and highlight any blockers immediately.
• Handle programming and software development, including requirement gathering, bug fixing, testing, documenting, and implementation.
• Work in an agile environment to deliver high-quality solutions.
• Understand and implement Security, Logging, Auditing, Policy Management, and Performance Monitoring.
• Familiarity with relational databases (E.g.: Oracle), non-relational databases (E.g.: MongoDB), MSK Kafka, Docker, Kubernetes, and CICD Technologies (Jenkins, GitHub, Maven)

Position Overview: We are looking for a senior developer who must be capable of building services using modern microservices architecture with NodeJS & serverless frameworks. Should have strong knowledge of ObjectOriented Concepts, and Node. Js frameworks like loopback, RDBMS, and microservice patterns. The candidate should be comfortable with application coding based on design and specifications, and also be comfortable working with JSON and RESTful services. The candidate must be a top-notch developer committed to keeping learning new things and becoming an integral part of and fostering growth within our development team.

Roles & Responsibilities:

• Developing and maintaining the backend systems that support the application
• Designing and implementing APIs and Microservices architecture to handle the application workload
• Developing and optimizing queries for RDBMS (MySQL) to manage data and ensure performance and scalability
• Managing and deploying the application on AWS using Lambda, ECS and other related services
• Collaborating with front-end developers to ensure smooth communication between front-end and back-end systems and back-end systems
• Writing clean, neat and reusable code that follows coding standards and best practices.
• Participating in code reviews and ensuring that coding standards are maintained
• Troubleshooting and debugging issues that arise in production environments
• Optimizing the application for performance, scalability, and security
• Continuously learning and staying up-to-date with the latest technologies and best practices in software development
• Documenting technical specifications, processes, and system design

• 2+ years experience in application development

• experience with Python and Javascript is required. 

• good knowledge of operating systems and networking concepts

• experience in using and understanding code from Open Source

• Strong command of NoSQL and ability to design schemas.

• Knowledge of front-end technologies such as React Native, React.js, or Javascript

• Experience with cloud infrastructure tools in AWS and Google Cloud

• experience with implementing best software engineering practices like version control with git, code reviews, writing unit-tests, writing readable code

• inclination towards researching new technologies and adapt them to solve challenges we face.

• Address all tech challenges and continue with tech innovation in order to improve business operations

• Experience with Live video stream a plus.

• Experience with AI preferred.