Content Writer

Key Responsibilities 

• Understand customer product configurations and translate them into structured data using Windowmaker Software. 

• Set up and modify profile data including reinforcements, glazing, and accessories, aligned with customer-specific rules and industry practices. 

• Analyse data, identify inconsistencies, and ensure high-quality output that supports accurate quoting and manufacturing. 

• Collaborate with cross-functional teams (Sales, Software Development, Support) to deliver complete and tested data setups on time. 

• Provide training, guidance, and documentation to internal teams and customers as needed. 

• Continuously look for process improvements and contribute to knowledge-sharing across the team. 

• Support escalated customer cases related to data accuracy or configuration issues. 

• Ensure timely delivery of all assigned tasks while maintaining high standards of quality and attention to detail. 

Required Qualifications 

• 3–5 years of experience in a data-centric role. 

• Bachelor’s degree in engineering e.g Computer Science, or a related technical field. 

• Experience with product data structures and product lifecycle. 

• Strong analytical skills with a keen eye for data accuracy and patterns. 

• Ability to break down complex product information into structured data elements. 

• Eagerness to learn industry domain knowledge and software capabilities. 

• Hands-on experience with Excel, SQL, or other data tools. 

• Ability to manage priorities and meet deadlines in a fast-paced environment. 

• Excellent written and verbal communication skills. 

• A collaborative, growth-oriented mindset. 

Location: Dwarka Mod, New Delhi

Working Days: Monday to Saturday

Working Hours: 10:00 AM to 6:30 PM

Salary: 25000 to 40000 (Gross)

Role Overview

We are looking for a Talent Acquisition Specialist to lead our recruitment efforts and attract top talent for a fast-growing, technology-driven company. This is a hands-on, strategic role requiring experience in end-to-end recruitment, talent sourcing, onboarding, and HR coordination.

Key Responsibilities

● Manage end-to-end recruitment for technical and non-technical positions, including UAV pilots, GIS specialists, survey engineers, field staff, and corporate roles.

● Source candidates through multiple channels: job portals, social media, employee referrals, networking, and talent agencies.

● Partner with department heads to understand hiring needs, define job descriptions, and establish selection criteria.

● Screen, interview, and assess candidates for suitability, ensuring alignment with company culture and role requirements.

● Maintain HR records, applicant tracking, and recruitment dashboards Qualifications & Skills

● Bachelor’s degree in Human Resources, Business Administration, or related field.

● Minimum 2–4 years of experience in recruitment, preferably in technology, engineering, or infrastructure sectors.

● Strong understanding of end-to-end recruitment lifecycle and talent sourcing strategies.

● Familiarity with ATS systems, job portals, LinkedIn Recruiter, and recruitment analytics.

● Excellent communication, interpersonal, and negotiation skills.

● Ability to work independently, prioritize, and manage multiple recruitment drives simultaneously. Preferred Attributes

● Prior experience recruiting for technical roles such as GIS specialists, survey engineers, UAV pilots, or project managers.

Job Details

- Job Title: Lead Software Engineer - Java, Python, API Development

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 8-10 years

- Employment Type: Full Time

- Job Location: Pune & Trivandrum/ Thiruvananthapuram

- CTC Range: Best in Industry

Job Description

Job Summary

We are seeking a Lead Software Engineer with strong hands-on expertise in Java and Python to design, build, and optimize scalable backend applications and APIs. The ideal candidate will bring deep experience in cloud technologies, large-scale data processing, and leading the design of high-performance, reliable backend systems.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using Java and Python
• Build and optimize Java-based APIs for large-scale data processing
• Ensure high performance, scalability, and reliability of backend systems
• Architect and manage backend services on cloud platforms (AWS, GCP, or Azure)
• Collaborate with cross-functional teams to deliver production-ready solutions
• Lead technical design discussions and guide best practices

Requirements

• 8+ years of experience in backend software development
• Strong proficiency in Java and Python
• Proven experience building scalable APIs and data-driven applications
• Hands-on experience with cloud services and distributed systems
• Solid understanding of databases, microservices, and API performance optimization

Nice to Have

• Experience with Spring Boot, Flask, or FastAPI
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Exposure to Kafka, Spark, or other big data tools

Skills

Java, Python, API Development, Data Processing, AWS Backend

Skills: Java, API development, Data Processing, AWS backend, Python,

Must-Haves

Java (8+ years), Python (8+ years), API Development (8+ years), Cloud Services (AWS/GCP/Azure), Database & Microservices

8+ years of experience in backend software development

Strong proficiency in Java and Python

Proven experience building scalable APIs and data-driven applications

Hands-on experience with cloud services and distributed systems

Solid understanding of databases, microservices, and API performance optimization

Mandatory Skills: Java API AND AWS

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Pune, Trivandrum

We are looking for a passionate Technical Content Writer Intern who is eager to learn and create impactful content in the tech domain.

📌 Responsibilities:

• Write high-quality articles on Remote Desktop (RDP) related topics
• Create engaging and SEO-friendly product descriptions
• Develop reviews, blogs, and script content (including short-form content)
• Conduct basic research to ensure content accuracy and relevance

🧠 Requirements:

• Strong writing and communication skills
• Basic understanding of technology (RDP, hosting, or similar concepts is a plus)
• Ability to simplify complex topics into easy-to-understand content
• Familiarity with SEO basics (preferred but not mandatory)

💼 Perks:

• Hands-on experience in technical content writing
• Flexible work environment (Remote)
• Opportunity to build a strong portfolio

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job Title: PHP/Laravel Developer with JavaScript (3–10 Years Experience)

Department: Engineering

Industry: Insurance / Fintech

Employment Type: Full-Time, Permanent

Job Summary

We are looking for an experienced PHP/Laravel Developer with strong JavaScript skills to work across the full stack. You will build scalable backend systems, interactive frontends, robust APIs, and use modern AI tools to speed up development. This role involves backend coding, frontend development, database design, and full-stack integration.

What You’ll Be Doing

1. Backend Development

• Build reliable PHP applications and REST APIs
• Write clean, maintainable Laravel code
• Create REST APIs and work with GraphQL when required
• Work with microservices and Docker-based environments
• Perform code reviews and maintain coding best practices

2. Frontend Development

• Develop responsive and modular web UIs using JavaScript frameworks
• Build interactive components using React, Vue, or Angular
• Work with modern CSS frameworks and preprocessors
• Implement SPA features like routing & state management
• Ensure browser compatibility and mobile responsiveness

3. Database Work

• Design database schemas for MySQL, PostgreSQL, MongoDB, Redis
• Write optimized SQL queries via Eloquent ORM or Query Builder
• Implement indexing and performance optimization
• Work with SQL & NoSQL databases
• Manage migrations and ensure database stability

4. AI Tools & Productivity

• Use AI coding assistants (GitHub Copilot, Cursor AI, Tabnine)
• Integrate AI APIs (OpenAI, Claude) into applications
• Build AI-powered features and automations
• Use AI tools for debugging, refactoring, and code optimization

5. Full-Stack Integration

• Connect frontend and backend layers smoothly
• Implement authentication and authorization flows
• Manage client-server data flow and API integrations
• Work with state management across the stack
• Ensure consistent and seamless user experiences

Job Requirements

Must-Have (3–10 Years Experience)

Backend Skills

• Strong experience with PHP 8+ & Laravel
• Eloquent ORM, Query Builder, Blade, Middleware, Events
• API development & authentication
• Redis/Memcached caching
• Queue management (Laravel Queues, Horizon)
• Working knowledge of Node.js

Frontend Skills

• Strong JavaScript (ES6+, async/await, modules)
• React / Vue / Angular
• State management (Redux, Vuex, NgRx)
• Build tools: Webpack, Vite, Laravel Mix
• CSS3, HTML5, Sass/Less or CSS-in-JS
• Responsive, mobile-first development

Database Skills

• MySQL, PostgreSQL, Redis; MongoDB is a plus
• Schema design, optimization, indexing
• Migrations, normalization, performance tuning

AI Tools Experience

• Hands-on experience with coding assistants (Copilot, Cursor, Tabnine)
• Experience integrating AI APIs (OpenAI, Claude, etc.)
• Using AI tools for debugging & code improvement
• Basic understanding of prompt engineering

Job Title: AI & ML Developer

Experience: 1+ Years

Location: Hyderabad

Company: VoltusWave Technologies India Private Limited

Job Summary:

We are looking for a passionate and skilled AI & Machine Learning Developer with over 1 year of experience to join our growing team. You will be responsible for developing, implementing, and maintaining ML models and AI-driven applications that solve real-world business problems.

Key Responsibilities:

• Design, build, and deploy machine learning models and AI solutions.
• Work with large datasets to extract meaningful insights and develop algorithms.
• Preprocess, clean, and transform raw data for training and evaluation.
• Collaborate with data scientists, software developers, and product teams to integrate models into applications.
• Monitor and maintain the performance of deployed models.
• Stay updated with the latest developments in AI, ML, and data science.

Required Skills:

• Strong understanding of machine learning algorithms and principles.
• Experience with Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
• Familiarity with data processing tools like Pandas, NumPy, etc.
• Basic knowledge of deep learning and neural networks.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
• Knowledge of model evaluation and optimization techniques.
• Familiarity with version control (Git), Jupyter Notebooks, and cloud environments (AWS, GCP, or Azure) is a plus.

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

Nice to Have:

• Exposure to NLP, Computer Vision, or Time Series Analysis.
• Experience with ML Ops or deployment pipelines.
• Understanding of REST APIs and integration of ML models with web apps.

Why Join Us:

• Work on real-time AI & ML projects.
• Opportunity to learn and grow in a fast-paced, innovative environment.
• Friendly and collaborative team culture.
• Career development support and training.

About the role

• Calling is an integral part of Bizup’s interaction with its users. Candidates are expected to create conversations with app users and sellers on the platform. 
• Calls users who have opened and used our app to understand their needs and solve them using Bizup. Candidate needs to be his ‘friend’ who will help the user buy in wholesale better using Bizup.
• Onboard sellers in target wholesale markets and maintain relationship with them so they create interesting content on the platform.

What we are looking for

• Min. 1+ yr of customer calling experience for a sales process. Preference to candidates who have worked in fashion / apparel category or worked with e-commerce companies such as Udaan, Indiamart, TradeIndia etc. Or worked with fintech selling products such as loan, insurance etc. on call
• Candidates who can have conversations and engage the other person on call will be preferred over candidates who can just reading out a script given and fill data in an excel.

About the company

Bizup is an early stage startup, driven by the vision to empower the 60 Mn small businesses (SMEs) in India with technology. We are building first of its kind short video app for B2B (business to business) transactions – think of it like Tiktok for businesses. Aim is to build India’s largest network of business users, with the plan to onboard 2 Mn+ users in next 12 months, largely from Tier 2+ cities. Founders are IIT/IIM/ISB alumni, with leadership experience at McKinsey, Paytm, Tata. If you are someone looking to join in the 0 to 1 journey of building a rocketship, in a huge opportunity area, then reach out to us!

Responsibilities will include

• To be a part of a highly motivated, young, and energetic product development Team.
• You will be handling high traffic web site operations, pro-active maintenance and problem-solving skills to ensure optimal working and performance of the websites
• Opportunity to collaborate, work with the architects and product owners in the business, and to contribute in all phases of the software development lifecycle.
• Assisting with mentoring junior team members, code reviews.
• To ensure code is clean, effective, simple, and follows coding standards.
• To advise, recommend, and justify critical architecture decisions to management..

Minimum Qualifications

• Minimum 5+ years of experience in IT programming.
• You have strong debugging, problem-solving, and analytical skills.
• Strong sense of writing quality code.
• Passion for developing highly scalable systems.
• You are quick, resourceful, flexible, and an excellent collaborator.
• Hands-on technical designing, coding, and implementing product features.
• Strong experience in OOPS and MVC frameworks in PHP.
• Database experience of the following: PostgreSQL, MySQL, or MS SQL Server (Preferably PostgreSQL).
• Demonstrated ability to incorporate beneficial software design patterns.
• Basic understanding of front-end technologies (JavaScript, Ajax, etc.).
• Experience participating in agile and fast-paced software development methodologies.
• Experience in collaborating in a cross-functional agile team to solve challenging technical problems with innovative solutions.
• Train members on code development, optimization, and debugging techniques.
• Can do best code reviews in a team.
• Can do the best comprehension of business requirements and optimal utilization of available skills, tools, and resources.
• Ability to work independently in all phases of software development.