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This role is for Work from the office.
Job Description
Roles & Responsibilities
- Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
- Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
- Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
- Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
- Analytics and analysis of data and provide insights and recommendations
- Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
- Work with the product team in developing new features, identifying solution gaps, etc.
- Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.
Skills & Experience
- At least 2+ years of experience in IT Infrastructure Management
- Experience in working with large-scale IT infra, including applications, databases, and networks.
- Experience in working with monitoring tools, automation tools
- Hands-on experience in Linux and scripting.
- Knowledge/Experience in the following technologies will be an added plus: ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.
We are seeking a highly skilled and experienced DevOps Engineer to join our development team.
Years of experience needed: 8+ Yrs
Required Skills
Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker
Proficiency in various deployment strategies and CI/CD pipeline setups
Solid understanding of Linux administration and Windows IIS.
Advanced scripting skills in bash and PowerShell
Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers
Familiarity with Autosys for job scheduling and automation
Excellent problem-solving and troubleshooting skills
Ability to work independently and collaboratively in a fast-paced environment
- • Strong communication and interpersonal skills.

Job Description – Social Media Executive
Responsibilities
- Manage and publish engaging content across Instagram, Facebook, and LinkedIn
- Create blogs, website content, landing pages, and webinar invitations
- Post customized content regularly across groups and communities
- Coordinate with content writers and designers to deliver high-quality creative output
- Handle SEO optimization and leverage AI tools for video/content creation
- Plan and run ad campaigns across platforms
- Craft and distribute WhatsApp promotional messages
- Share and manage testimonials, Google feedback, and career resources (Career Book, Cluster Books, Tests, etc.)
- Ensure routine social media posting at regular intervals to maintain consistency
Requirements
- Strong knowledge of social media platforms and content creation strategies
- Basic understanding of SEO and digital marketing practices
- Ability to use AI-based tools for video and content creation
- A creative mindset with strong attention to detail
- Good communication and coordination 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.
Role/Title: ASCP Functional consultant (Exp - 4 to 15 yrs.)
Location: Noida/Pune/Bangalore/Hyderabad/Chennai
Primary Skills/expertise: ASCP, MFG/MRP, MPS, WIP, BOM
Role & Responsibilities
Functional Consultant with min 6-8 years of experience.
Skills –
- Oracle VCP-EBS - Advanced Supply Chain Planning (ASCP, MFG/MRP, MPS Planning Expert)
Detailed Job Description:
- Strong experience in Oracle ASCP, MRP, MPS Planning and Manufacturing
- Good knowledge of Oracle EBS, Mfg., WIP, BOM
- Having done at least one end to end implementation of Oracle EBS Mfg. with primary focus on VCP modules
- Good knowledge of Supply Chain Management related business processes and Oracle configurations / functional setups, profile options, flex-fields, functional interfaces for R12 EBS
- Should have worked on customizations, Reports, interfaces etc. over MSC schema
- Understanding of software development methodologies, development processes, change management, and deployment procedures
- Experience with gathering user requirements, understanding and interpreting requirements specifications
- Ability to analyze, trouble shoot and effectively communicate functional details to end users
- Worked with Oracle Technical Support on SR resolution
- Self-motivated team player with ability to work independently as well as part of a team
- Strong analytical and problem-solving skills along with written and verbal communication skills
- Good to have – SQL-query knowledge, well known about VCP & Oracle-EBS Mfg. Tables, scheduling tools.
- Should have good understanding of Oracle-EBS Integrations with VCP
- Should have experience in client facing.
- Experience in working with multiple teams.
- Flexible in timings
- Expert in writing functional specifications
- Should able to understand holistic planning solution of customer
- Must have experience in Creation of different test scripts, doing testing, UAT support
Job Description:
An Assistant Engineer works as part of an engineering team to support various aspects of production, design, quality control, and maintenance. They are involved in project planning, process improvement, equipment maintenance, and troubleshooting. The role also includes monitoring safety regulations, analyzing test results, and ensuring compliance with industry standards.
Key Responsibilities:
- Technical Support & Project Assistance
- Assist senior engineers in project design, execution, and troubleshooting.
- Conduct research, collect data, and prepare technical reports.
- Participate in product development and testing processes.
- Production & Process Optimization
- Monitor production activities and ensure smooth operation.
- Identify inefficiencies and propose process improvements.
- Coordinate with production teams to maintain workflow efficiency.
- Quality Control & Assurance
- Conduct quality checks and inspections of materials, components, and finished products.
- Ensure products meet industry and regulatory standards.
- Assist in root cause analysis and corrective action implementation.
- Equipment Maintenance & Safety Compliance
- Ensure machines and tools are properly maintained.
- Follow safety protocols and assist in risk assessment.
- Train workers on the safe operation of equipment.
- Documentation & Reporting
- Maintain records of production, quality tests, and project progress.
- Prepare reports for senior engineers and management.
- Assist in preparing SOPs (Standard Operating Procedures).
One of our premium client is hosting a drive for experienced React Native Developers on Saturday February 11. If you're passionate about building cutting-edge mobile apps and want to join a fast-growing tech company, this is the opportunity for you!
Shortlisted candidates will be scheduled for the weekend drive,
What they're looking for:
1. Experience with React Native, Redux, HOC, Hooks, Native Bridging, React Navigation
2. Experience in Application uploading to PlayStore and AppStore
3. Good problem-solving skills
4. Object Oriented concepts
5. Experience in working with RESTful APIS, Websockets
6. Knowledge in source code version control- Git, Subversion
Immediate job opening for Nodejs with React & Typescript for 6 location with an experience of 4-8yrs.
Job Role : NodeJS Fullstack Developer
Experience :: 4-8 yrs
Job Locations : Hyderabad, Bangalore,Chennai,Mumbai,Pune, gurgaon
Job Type : Permanent
Description :
• Master’s/Bachelor’s degree in Computer Science, Computer Engineering (BE/MCA/BCA)
• 5-9 years of strong software design and development experience and building and administering large-scale distributed applications
• Strong communication skills
• Agility and quick learner
• Understanding of the Software development lifecycle
• Good Analytical and problem-solving skills
• Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
• Should have a high level of energy working as an individual Contributor and as a part of Team.
• Ability to think out of the box and questioning everything
Technical Skills (Hands On)
• Apply Server-side software development expertise, to design, develop and implement horizontally scalable components with the ability to handle large transaction and query volumes with following experience :
• Backend - NodeJS, Server-Side Events (SSE), React
• Programming languages - Typescript, JavaScript
• API – REST, GraphQL
• Databases – MySQL, PostgreSQL
• Additional useful programming languages – Java, Scala
• CI/CD experience with:
• Git/TFS, Containers, Ansible
• Test Driven Development (TDD)
• Real-time or near real-time data pipelines
• BPMN 2.0 (Camunda)
• Knowledge of Design Thinking
• Experience working in short agile release cycles
• Enterprise grade development best-practices for end-to-end interoperability and integration
• Design with operational requirements, and support challenges in perspective
Experience
• Drive technical excellence and implementation of best backend engineering practices. Apply technical understanding of:
o Using modern cloud architectures
o DevSecOps tools, and tool-chaining to achieve end-to-end automation
o Patterns and best-practices for multi-tiered distributed applications, and Multi-Cloud environment Information Security, Identity and Access Management
Our esteem client MITS are looking for MSBI developer as per below JD
BI Developer
Roles and Responsibilities:
- Comprehensive knowledge of SQL
- Expertise as a Microsoft BI Developer (SQL Server, SSIS)
- Experience and understanding of build and deploy processes
- A structured approach to software development (agile or waterfall), and a thorough understanding of the full software development lifecycle
- Knowledge and experience in experience banking
- Contribute to planning and estimation of sprints, features and releases
- Integrate new data sources using SQL, SSIS and C#
- Contribute to the testing and UAT phases
- In addition SQL Server 2014, Integration Services, Analysis Services, and Reporting Services (SSIS, ), Microsoft .NET, Tableau, Power BI, Data warehouse design
React JS Developer
Exp - 5+ years
Skills: React, Redux, Javascript, HTML, CSS
Location: Bangalore, Hyderabad, Chennai
Do you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.




