Responsibilities
- Develop test scenarios and cases as per the sprint requirements from product owner
- Should prepare the effective test data for the identified cases.
- Should be able to configure the test environment.
- As per the sprint planning, execute test cases and report the bugs.
- The test execution involves at the user interface level, including functional tests, UI tests and workflow tests to identify system and software problems and their causes
- Work with automated test cases using already existing frameworks
- Work in agile Team and actively participate in agile events
- Be an advocate of high quality of the products you work on
Minimum Qualifications
- 3-5 years of in-depth QA Engineering experience in enterprise applications in ERP/ SCM/ CRP domains.
- Bachelor’s degree in engineering or equivalent work experience
- Experience with manual testing, automation testing using Selenium with appropriate frameworks

About BOB eProcure Solutions
About
Our products are transforming procurement operations in 130+ customer’s sites across 250 + market segments in Asia, Africa, & US.
With a philosophy to help customers strengthen their procurement strategies with precise procurement tools, we offer a comprehensive portfolio of products that encompass the complete gamut of Procurement Operations, enabling all stakeholders – Buyers, Suppliers, Legal, and, Finance collaborate and align their processes to their business needs.
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Role Objective:
To provide essential support to the Façade Design team by assisting in the preparation of technical drawings and project documentation. The primary purpose of this role is to
develop foundational skills in façade design and contribute to the successful delivery of project
components under direct supervision.
Key Responsibilities & Accountabilities:
Drawing & Documentation Support:
o Assist in the preparation of initial drafts for façade drawings and technical
documents as directed by senior team members.
o Make revisions to drawings and specifications based on feedback from the design
team.
Technical Learning & Application:
o Actively learn and apply company standards, project specifications, and fundamental
engineering principles.
o Gain a working knowledge of local building codes and various façade materials.
Team Collaboration:
o Support the design team in day-to-day project tasks.
o Maintain and organize design files, records, and project correspondence to ensure
information is accurate and accessible.
Quality Adherence:
Assist in basic quality checks of drawings to ensure they meet required standards
before formal review.
Mandatory Candidate Profile:
Education: A Bachelor’s degree/Diploma in (Civil /Mechanical) Engineering or Architecture is
required.
Experience: 0-2 years of experience.
Recent graduates with a strong academic record and a
demonstrated interest in structural or façade design are encouraged to apply.
Technical Knowledge: Basic proficiency in CAD software (e.g., AutoCAD) is mandatory. The
candidate must possess a strong willingness to learn advanced design tools.
Reporting Structure:
The position reports directly to the Facade Designer or a Senior Facade Designer.
Position : Senior Data Analyst
Experience Required : 5 to 8 Years
Location : Hyderabad or Bangalore (Work Mode: Hybrid – 3 Days WFO)
Shift Timing : 11:00 AM – 8:00 PM IST
Notice Period : Immediate Joiners Only
Job Summary :
We are seeking a highly analytical and experienced Senior Data Analyst to lead complex data-driven initiatives that influence key business decisions.
The ideal candidate will have a strong foundation in data analytics, cloud platforms, and BI tools, along with the ability to communicate findings effectively across cross-functional teams. This role also involves mentoring junior analysts and collaborating closely with business and tech teams.
Key Responsibilities :
- Lead the design, execution, and delivery of advanced data analysis projects.
- Collaborate with stakeholders to identify KPIs, define requirements, and develop actionable insights.
- Create and maintain interactive dashboards, reports, and visualizations.
- Perform root cause analysis and uncover meaningful patterns from large datasets.
- Present analytical findings to senior leaders and non-technical audiences.
- Maintain data integrity, quality, and governance in all reporting and analytics solutions.
- Mentor junior analysts and support their professional development.
- Coordinate with data engineering and IT teams to optimize data pipelines and infrastructure.
Must-Have Skills :
- Strong proficiency in SQL and Databricks
- Hands-on experience with cloud data platforms (AWS, Azure, or GCP)
- Sound understanding of data warehousing concepts and BI best practices
Good-to-Have :
- Experience with AWS
- Exposure to machine learning and predictive analytics
- Industry-specific analytics experience (preferred but not mandatory)
Job Title : Senior Software Engineer (Python, Golang, Node.js, Elixir, SQL)
Experience : 5+ Years
Location : Mumbai (Work From Office)
Employment Type : Full Time Opportunity
Job Summary :
We are looking for a Senior Software Engineer with strong backend development experience to build scalable, cloud-native applications and distributed systems.
The ideal candidate should have experience in product-based environments, designing microservices, REST APIs, and customer-facing production applications while collaborating with cross-functional teams.
Mandatory Skills :
Backend Development, Python, Golang, Node.js, Elixir, SQL, Cloud-Native Architecture, REST APIs, Microservices, Distributed Systems, Cloud Platforms, Relational & NoSQL Databases, Platform Engineering, CI/CD, Production Support, System Design
Key Responsibilities :
- Design and develop scalable backend services, REST APIs, and microservices.
- Build and enhance cloud-native, high-performance applications.
- Participate in architecture and system design discussions.
- Collaborate with Product, DevOps, Security, and Data Engineering teams.
- Troubleshoot production issues and optimize application performance.
- Mentor team members and contribute to engineering best practices.
Required Skills :
- 5+ years of software development experience in product-based organizations.
- Strong backend development using Python, Golang, Node.js, Elixir, or similar technologies.
- Experience with REST APIs, Microservices, SQL, and Distributed Systems.
- Strong understanding of cloud platforms and cloud-native architecture.
- Hands-on experience with relational and NoSQL databases.
- Familiarity with CI/CD, monitoring, and DevOps practices.
Preferred Skills :
- Experience building highly scalable distributed systems.
- Strong debugging, troubleshooting, and performance optimization skills.
- Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
- Excellent communication, collaboration, and problem-solving abilities.
- Experience mentoring engineers and leading technical initiatives.
Job Description
We are seeking a highly skilled DevOps / Kubernetes Engineer. The ideal candidate will have strong expertise in container orchestration, infrastructure as code, and GitOps workflows, with hands-on experience in Azure cloud environments. You will be responsible for designing, deploying, and managing modern cloud-native infrastructure and applications at scale.
Key Responsibilities:
· Manage and operate Kubernetes clusters (AKS / K3s) for large-scale applications.
· Implement infrastructure as code using Terraform or OpenTofu for scalable, reliable, and secure infrastructure provisioning.
· Deploy and manage applications using Helm and ArgoCD with GitOps best practices.
· Work with Podman and Docker as container runtimes for development and production environments.
· Collaborate with cross-functional teams to ensure smooth deployment pipelines and CI/CD integrations.
· Optimize infrastructure for cost, performance, and reliability within Azure cloud.
· Troubleshoot, monitor, and maintain system health, scalability, and performance.
Required Skills & Experience:
· Strong hands-on experience with Kubernetes (AKS / K3s) cluster orchestration.
· Proficiency in Terraform or OpenTofu for infrastructure as code.
· Experience with Helm and ArgoCD for application deployment and GitOps.
· Solid understanding of Docker / Podman container runtimes.
· Cloud expertise in Azure with experience deploying and scaling workloads.
· Familiarity with CI/CD pipelines, monitoring, and logging frameworks.
· Knowledge of best practices around cloud security, scalability, and high availability.
Preferred Qualifications:
· Contributions to open-source projects under Apache 2.0 / MPL 2.0 licenses.
· Experience working in global distributed teams across CST/PST time zones.
· Strong problem-solving skills and ability to work independently in a fast-paced environment.
We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.
You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.
This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.
Key Responsibilities
Architecture & System Design
- Design low-latency, real-time voice agent architectures for local/on-prem deployment
- Define scalable architectures for ASR → LLM → TTS pipelines
- Optimize systems for GPU utilization, concurrency, and throughput
- Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)
Voice & Conversational AI
- Design and integrate:
- Automatic Speech Recognition (ASR)
- Natural Language Understanding / LLMs
- Dialogue management & conversation state
- Text-to-Speech (TTS)
- Build streaming voice pipelines with sub-second response times
- Enable multi-turn, interruptible, natural conversations
Model & Inference Engineering
- Deploy and optimize local LLMs and speech models (quantization, batching, caching)
- Select and fine-tune open-source models for voice use cases
- Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar
Infrastructure & Production
- Design GPU-based inference clusters (bare metal or Kubernetes)
- Implement autoscaling, load balancing, and GPU scheduling
- Establish monitoring, logging, and performance metrics for voice agents
- Ensure security, privacy, and data isolation for local deployments
Leadership & Collaboration
- Set architectural standards and best practices
- Mentor ML and platform engineers
- Collaborate with product, infra, and applied research teams
- Drive decisions from prototype → production → scale
Required Qualifications
Technical Skills
- 7+ years in software / ML systems engineering
- 3+ years designing production AI systems
- Strong experience with real-time voice or conversational AI systems
- Deep understanding of LLMs, ASR, and TTS pipelines
- Hands-on experience with GPU inference optimization
- Strong Python and/or C++ background
- Experience with Linux, Docker, Kubernetes
AI & ML Expertise
- Experience deploying open-source LLMs locally
- Knowledge of model optimization:
- Quantization
- Batching
- Streaming inference
- Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)
Systems & Scaling
- Experience with high-QPS, low-latency systems
- Knowledge of distributed systems and microservices
- Understanding of edge or on-prem AI deployments
Preferred Qualifications
- Experience building AI voice agents or call automation systems
- Background in speech processing or audio ML
- Experience with telephony, WebRTC, SIP, or streaming audio
- Familiarity with Triton Inference Server / vLLM
- Prior experience as Tech Lead or Principal Engineer
What We Offer
- Opportunity to architect state-of-the-art AI voice systems
- Work on real-world, high-scale production deployments
- Competitive compensation and equity (if applicable)
- High ownership and technical influence
- Collaboration with top-tier AI and infrastructure talent
LOCATION = MUMBAI, CHENNAI AND BHUBANESHWAR
We are looking for field sales agents with an entrepreneurial mindset, who will play a vital role in acquiring and activating travel agents. This is a very roll-up-your-sleeves role - you will have to knock on doors, pick up the phone, or do whatever it takes to acquire travel agents.
Responsibilities:
- Acquire and activate travel agents through various channels like office visits, telephone, email, social networks, events & meetings.
- Establish, grow, and maintain commercial ties with travel agents both current and potential in the designated territory to attract new partners for our services.
- Create a sales funnel, identify the right leads, define long-term goals, and engage in strategic business planning.
- Align sales activities with the tele-sales team, product, marketing, and customer success team.
- Build an in-depth understanding of our products and give demos or solve product queries to convert agents.
- Attend road shows, trade fairs, and other travel industry events.
- Maintain and analyze data.
- Stay updated on industry insights and opportunities for strategic planning and growth.
Requirements:
- At least 4 years of sales experience in the travel industry
- Excellent communication and interpersonal skills
- Ability to build relationships
- Prior experience in acquiring travel agents or in visas or insurance is a big plus
- Proficient with using CRMs and Google Sheets
- Ability to handle pressure
***Urgent Requirement ***
Job Role : Technical Support (Chat support)
Qualification : 12th Pass and above ( No B-tech and BE )
Experience : 0 to 3 Years
Location : Gachibowli, Hyderabad
Shifts : 24/7 Shifts ( Rotational shifts)
Working Days : 5 days & Rotational week offs
Training Period : 30 Days
Cab Facility : 1 Way
Radius : 15 kms Radius
Rounds Of Interview :
1) HR screening
2) Live Chat session
3) Kahoot Test : Technical, English Questions and Typing test (90% accuracy,30 WPM)
4) Operational Manager.
Roles and Responsibilities
1. Computer science graduates would be preferred
2. Should have at least 1 year of experience as a software developer in ReactJS
3. Should be a contributor to the software development process and part of an software team
4. Can keep up to date with developments in (open source) frontend libraries, frameworks, and software development practices
5. In-depth knowledge of ReactJS, Redux, Flux, and JavaScript (ES6)
6. In-depth knowledge of Express.js and Node.js
7. Should have been working on React for at least 12 months (90% of the time)
8. Good problem-solving skills
9. Experience in Mongoose & MongoDB is a plus
10. Experience with the testing frameworks for JavaScript is a plus
11. Experience with JS module bundlers like Web Pack & Rollup
12. Experience with Babel as a compiler
13. Experience with agile software development techniques is a plus
Desired Candidate Profile
Computer science graduates preferred












