BDE

We're Hiring: Pricing Executive

📍 Location: Belapur / Navi Mumbai

🏢 Company: SC Lines Shipping and Logistics Pvt. Ltd.

We are looking for a Pricing Executive with a strong background in Shipping & Logistics, specifically in NVOCC and Freight Forwarding Operations.

Experience Required:

🔧 2 to 5 years as Pricing Executive pricing, freight forwarding, shipping, or logistics.

Key Responsibilities:

·       Prepare Freight Quotations: Analyse and prepare tailored freight pricing (FCL/LCL/REEFER/SPECIAL equipment) for export/import shipments.

·       Liaise with Carriers & Partners: Handle spot rate requests and liaise with shipping lines

·       Pricing Strategy Support: Work with the team to develop pricing strategies that meet profitability targets and reflect current market trends.

·       Rate Management: Maintain and update pricing databases, tariffs, and rate sheets for different trade lanes and services.

·       Quotation Follow-up: Support the sales team with timely follow-up on quotations to improve conversion rates and gather market intelligence.

·       Reporting and Documentation

Candidate Profile:

✅ Prior experience with NVOCC operations

✅ Understanding of freight forwarding processes

✅ Strong coordination and negotiation skills

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.

Job description

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application.

Responsibilities:

Have the passion and experience for building responsive, elegant and engaging experiences with future friendly web technologies

Integration of user-facing elements developed by front-end developers with server side logic

Writing reusable, testable, and efficient code with proper documentation

Design and implementation of low-latency, high-availability, and performance applications

Implementation of security and data protection

Integration of data storage solutions

Continually keep yourself and your design team updated with the latest changes in your industry’s standards

Requirements

1+ years Experience

Strong proficiency with JavaScript

Knowledge of Node.js, Express.js and other frameworks required to create a scalable and effective application

Understanding the nature of asynchronous programming and its quirks and workarounds

Good understanding of basics of SQL and/or NoSQL databases

Very strong understanding of working with at least one SQL or NoSQL database in node js(Without ORM preferably)

Understanding of commonly used node modules

Good understanding of server-side templating languages

Good understanding of server-side CSS pre-processors such as SASS, LESS, etc.

Basic understanding of front-end technologies, such as HTML5, and CSS3

Understanding accessibility and security compliance

User authentication and authorization between multiple systems, servers, and environments using OpenID, OAuth2.0, etc.

Creating secure and scalable APIs using standards like REST API, GraphQL, etc.

Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application

Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimising output to match the specific platform

Creating database schemes that represent and support business processes

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as GIT Critical thinker and problem-solving skills Team player Good time-management skills Great interpersonal and communication skills.

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

‍

The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India