Product Engineer

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

·                    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.

Job Responsibilities

• Should have experience in Software Product Development at an enterprise level.  .
• Analyze requirements and come up with possible solutions to solve the problem, evaluating and capturing necessary tradeoffs
• Build and improve newest services and ensure that they are well tested and released quickly and often to our customers
•  Debugging capabilities and identify the root cause of the problem and fix them.
•  Influencing the architecture of an application. 
•  Design and implement cloud based high-performance, highly available services to cover customers’ high demands and big data volumes 
•  Maintain rapid deployment pipelines and observability of the services to support operations/troubleshooting. 
•  Think about security of the whole technical stack and processes to ensure customers’ data is safe 
•  Take care of all aspects of the product: from implementation, through testing, to operations.

Job Requirements

• Proficiency in Python programming
• Mandate experience working as a Python Developer with Django.
• Should have good experience in Flask, numpy and pandas
• Should have good experience in REST API development with Django.
• Have In-depth understanding of Object Oriented Programming ( OOPs ) concepts.
• Are Able to create Database Schemes that represent and support business processes.
• Should have good understanding of Agile frameworks such as Git, Jenkins etc.
• Must have experience working on MySQL, HTML, CSS, JavaScript & jQuery.
• Must have experience with Web Servers e.g. Nginx, Apache.
• Good to have AI/ML/Data science certification.
• Must be a fast learner and comfortable teaching yourself new skills and can thrive in a complex and fast-paced environment.
• Positive attitude and excellent communication as well as written skills

This person MUST have:

• B.E Computer Science or equivalent
• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.
• Strong communication skills.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

• 2+ years of Hands-on experience in Python, Django, Flask, Bottle, Design Patterns, Web Services (SOAP/HTTP, REST APIs)
• 2+ years of hands-on experience with Postgress, MongoDB.
• Experience with cache-store / message broker like Redis / RabbitMQ / Kafka
• Experience with AWS
• Experience in front-end development using react.js is a plus.
• Proficient understanding of code versioning tools, such as Git / Mercurial /bitBucket.
• DevOps knowledge to deploy code in production and hands-on experience with docker / Kubernetes.
• Self-motivated and a good team player.
• Good communication and interpersonal skills.
• Bachelor’s Degree in Engineering from a reputed Institute

• Working in high paced competitive stock trading environment with core web app development, scripting, data interpretation and manipulation skills
• Designing, creating and maintaining our in-house software for business requirements
• Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
• Improve on existing tools to make trade monitoring systems robust and more reliable

Ideal candidate should have:

• Engineering degree in Computer Science (preferred) or any other discipline
• Experience on Python web app development (Preferably Django)
• Ability to work as a full stack developer
• Experience in Shell/Perl or Python scripting
• Prior experience of Linux or Unix based operating systems
• Ability to create automation scripts
• Experience/Knowledge of financial industry
• Ability to work in fast paced environment under pressure and manage multiple high priority projects
• Willingness to learn and work on new technologies
• Excellent communication skills

About TBM Technologies Pvt Ltd

Established in 2006, we are a research-driven 'machine-to-next' technology company. In 2018, we were recognized as the 'Telecom Technology Company of the Year - India'. We were named 'Most Innovative Software Development Company - India in 2017' and 'Best Telecom Software Company - India'. Other awards include being named among the '20 Most Promising Software Development Companies' and recognition by GSMA at the Mobile World Congress 2011. Our smart solutions enhance lifestyles and save lives, by enabling more effective communications.

With our proprietary software and technologies, we deliver solutions to telecom operators, including Airtel, Dialog Axiata, Verizon Wireless, Vodafone, and Idea. A dedicated research team focuses on next-generation solutions with sensors, smart devices, location 5.0 technology, multi-lingual multi-modal communication, omnichannel delivery platforms, cloud technologies, virtualization, rack servers, mobile phones, analytics, machine learning, and IoT.