11+ TMS Jobs in Chennai | TMS Job openings in Chennai

Key Responsibilities:

• Implement and configure Manhattan Active TMS solutions to support transportation planning, execution, and optimization.
• Collaborate with business and IT stakeholders to define transportation requirements and translate them into system configurations.
• Design and test transportation workflows, routing logic, rate management, and carrier communication.
• Support system integration with WMS, OMS, and third-party logistics systems using APIs and microservices.
• Troubleshoot, debug, and resolve functional and technical issues related to MATM.
• Assist in upgrades, patching, and ongoing system enhancements within the Manhattan Active cloud environment.
• Support end-user training, documentation, and change management activities.
• Monitor system performance and suggest continuous improvements in processes and configurations.

Required Skills & Experience:

• Minimum 4 years of experience with Manhattan Active Transportation Management (or Manhattan TMS with recent transition to Active).
• Proven knowledge of cloud-native TMS architecture, microservices, and REST APIs.
• Strong understanding of transportation operations across TL, LTL, parcel, and intermodal.
• Experience with transportation optimization, rating engines, and carrier selection.
• Hands-on experience with workflow configuration in Manhattan Active TMS.
• Familiarity with JIRA and SaaS environments.
• Ability to translate business needs into functional specifications and configuration logic.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience integrating MATM with other Manhattan Active modules (e.g., WMS, OMS).
• Familiarity with JSON, Postman, API calls, and cloud integration tools.
• Knowledge of EDI messages (204, 214, 990, 210) and TMS-related data formats.
• Previous experience in a high-volume retail, 3PL, or manufacturing environment

Hi All , 🚀 Greetings from Pentabay Softwares!

We’re hiring a Field Admin Officer / Field Operations Executive to join our growing team in Anna Salai (Mount Road), Chennai.

Job Title: Field Admin Officer / Field Operations Executive

Company: Pentabay Softwares

Location: Anna Salai (Mount Road), Chennai

Job Type: Full-Time

🔍 Role Overview:

If you enjoy working on the field, coordinating with people, and handling admin tasks, this role is for you! You’ll be responsible for supporting our projects by identifying suitable clinic/office locations and managing field-level operations.

📌 Key Responsibilities:

✔️ Field visits to identify suitable clinic/office locations

✔️ Coordination with brokers, agents & property owners

✔️ Handling on-ground administrative activities

✔️ Collecting and maintaining reports & documents

✔️ Providing regular updates to the team

✅ Who Can Apply?

Graduates

Freshers or up to 3 years of experience

Must own a bike with a valid license

Willing to travel within the city

Good communication skills

📍 Location: Anna Salai (Mount Road), Chennai

💼 Job Type: Full-Time

💰 Salary: As per industry standards + Travel Allowance

📩 Interested candidates can apply now or share profiles!

📧 sandhiya.m at pentabay.com

🔁 Feel free to like, share, or tag someone who might be a great fit!

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.

Position: Sales Manager (Building Material- Blocks, ALC Wall panel)

Location: Ahmedabad, Indore, Baroda, Mumbai

Experience: 5+ years in Building Material Industry like Bison Panel sandwich panels boards Tile adhesive Putty Block fix Marble Granite Stone Pipes Ceramic (Note: Work experience in cement RMC will not considered)

Salary: negotiable

Industry: Building Material

Age- 35-50

Job Duties :

·        Building the sales processes and infrastructure to support the rapid growth.

·        Maintain strong developed relationships with customer

·        Managed budget planning and forecasting for implementing a target sales strategy

·        Leveraged key analysis insights & team approach to drive organizational improvements and implementation of best practices in sales & marketing

·        Be part of the senior team to help refine the go-to-market strategy

·        Working independently as well as team player.

·        Maintain strong developed relationships with customer

·        Responsible for creating sales and marketing plan and identifying the market fit/segment.

Required Qualification & Experience:

·        At least 7 years’ experience in Building Material like Bison Panel sandwich panels boards Tile adhesive Putty Block fix Marble Granite Stone Pipes Ceramic (Note: Work experience in cement RMC will not considered)

·        Minimum age required 35 Year

·        Good technical sales/marketing skills communication skills

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish: 88 5 1O1 81 6 2

Job Description for Site Engineer

Oversee solar installation projects from planning to execution.

Ensure compliance with quality standards and project specifications.

Collaborate with cross-functional teams to optimize site operations.

Troubleshoot and resolve any site-related issues.

Monitor project progress and report on key performance metrics.

Qualifications:

Minimum of 2 years of experience in solar energy systems installation and maintenance.

Strong knowledge of solar technology, components, and project planning.

Familiarity with site engineering practices specific to solar energy solutions.

Relevant certifications in solar or renewable energy systems are advantageous.

Excellent teamwork and communication skills to ensure project success

Roles and Responsibilities

1.    Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.    Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.    Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.    Oversee and facilitate MHFAI instructors for training and upskilling.

5.    Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.    Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.    Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.    Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.    Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11. Provide support in other operational functions of MHFA as needed.

Requirements:

·      4-10 years in Counselling psychology and / or mental health training

·      Qualification: Education in Counselling / Medical Psychology

·      Experience in clinical work

·      Exposure to mental health training

·      Experience of having previously worked in organized group is desirable

Read less

Skills Required:

• 7+ years of experience as software engineer.
• Experience in Dot.Net technologies - Asp.Net MVC, WebAPI, .NetCore
• Experience in ORM like Entity Framework /Dapper
• Experience with Object-Oriented Design and SOLID principles
• Experience with Unit Testing, Mocking and Dependency Injection frameworks
• Experience with SQL Server, NoSQL or other database technology
• Experience with software quality, testing procedures and build automation tools
• Knowledge of the Principles & Patterns of Agile Software
• Ability to understand and troubleshoot existing code and maintain existing systems.
• Ability to identity performance bottlenecks.
• Experience working with version control tools such as GIT and CI/CD tools.

Work with a world-class fin-tech maverick that is focusing on creating a powerful future-focused infrastructure with sophistication and transparency.

Our client is a cross border payment platform started in 2014, with a vision to simplify the cross-border payments experience for consumers. It later expanded and scaled its offerings to meet the needs of SME’s, Financial Institutions, Enterprises, and other payment service providers. It is currently accessible in 90 countries dealing with 63 currencies, developing cutting-edge products and solutions that solve the most crucial problems in the FinTech space.

As a Manager/ Sr. Manager Talent Acquisition, you will be responsible for setting up and driving our core programs of sourcing talent and raising the bar of talent that comes to the company.

What you will do:

• Sourcing, engaging and recruiting mid to senior level hires for positions globally
• Owning hiring for Non Tech positions covering Business Development, Customer Success, Operations, Marketing, and G&A roles across multiple countries globally including the APAC, Europe and US regions.
• Partnering with hiring managers to execute on hiring plans
• Developing proactive sourcing strategies to engage and developing a pipeline of passive talent apart from active pool.
• Creating strong governance with hiring teams to identify trends within the market, strategizing on outreach approaches, and brainstorming creative search methods.
• Leveraging internal tools to build pipeline and engaging active and passive talents in the markets
• Focusing on diversity and inclusion hiring and ensuring a diverse candidate slate across all roles.
• Reporting on recruiting metrics and performance reports on a regular basis

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Key Responsibility Areas:

• To develop new business opportunitiesby selling SaaS Workflow automation solutions.
• To Generate leads, follow up by email/phone, give product demos and close sales.
• Meet & engagewith customers and help them understand various product features.
• Demonstrate the ability to maximize profitable volume growth, Time Management and client preference in the assigned market.
• Maintain data related to partners, accounts and document customer interactions.

MUST HAVE OWN VEHICLE & A VALID DRIVING LICENCE.


WHY JOIN US ?

• Professional development and career advancement opportunities.
• Young and vibrant work culture.

Current CTC:

Expected CTC:

Notice Period:

Best Regards,