Affiliate Manager - Urgent Opening

About the Role :

We are looking for a skilled and strong expertise in Vue.js and EJB/Spring Boot to join our growing team. The ideal candidate should have hands-on experience building scalable, high-performance web applications and APIs, with a keen eye for performance, security, and maintainability. You will work closely with product managers, designers, and other developers to design, develop, and deploy innovative solutions for modern web applications.

Key Responsibilities :

- Develop, test, and maintain frontend applications using Vue.js .

- Design and implement backend services and RESTful APIs using Jersey Client EJB or Spring Boot.

- Integrate frontend and backend services ensuring seamless data flow and optimized performance.

- Work with relational and/or NoSQL databases, ensuring efficient query design and schema modeling.

- Implement secure authentication/authorization flows (JWT, OAuth2, etc.).

- Optimize application performance for speed, responsiveness, and SEO.

- Write clean, maintainable, and well-documented code with proper unit/integration tests.

- Collaborate with cross-functional teams for requirement gathering, technical design, and solution delivery.

- Stay up to date with latest technologies in Vue ecosystem, Java EJB, Jersey Client / Spring Boot, cloud deployment, and DevOps practices.

- Contribute to code reviews, technical documentation, and team knowledge sharing.

Required Skills & Qualifications :

- Strong expertise in Vue.js (Composition API, Vuex/Pinia, Vue Router).

- Hands-on experience with EJB and Jersey Client / Spring Boot for building scalable and secure backend APIs.

- Strong understanding of REST API design, microservices architecture, and best practices.

- Proficiency in JavaScript/TypeScript, HTML5, CSS3, Tailwind/Bootstrap.

- Experience with relational databases (MySQL/PostgreSQL) and ORM tools (JPA/Hibernate).

- Caching : Redis

- DevOps Tools : CI/CD with GitLab CI, Jenkins (optional)

- Version Control : GitLab, SVN

- Others : Postman, Swagger/OpenAPI, Maven/Gradle

- Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Good to Have) :

- Experience with GraphQL, WebSockets, or gRPC.

- Knowledge of ElasticSearch, Redis, or Kafka.

- Familiarity with Headless CMS integrations.

- Exposure to Agile/Scrum methodology.

- Familiarity with Docker, CI/CD pipelines, Git, and cloud deployment (AWS/GCP/Azure).

- Knowledge of security best practices (XSS, CSRF, CORS, API security).

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.

Company: Paytm

Role: Field sales executive

Location: Hyderabad , Andhra Pradesh

Experience: 1-3 years in sales (QR Payments, POS, Merchant Acquiring)

Salary: ₹18,000 to ₹25,000 (Performance-based)

Positions Available: 25

🌟 Are you passionate about sales, self-motivated, and ready to grow your career with India’s leading fintech company? This is your opportunity!

Key Responsibilities:

🔹 Promote and sell Paytm’s products (QR Codes, POS Machines, Sound Boxes, Business Loans)

🔹 Achieve monthly sales targets and earn exciting incentives

🔹 Build and maintain strong relationships with merchants and clients

🔹 Ensure stock availability at stockists and retailers

💼 Why Join Us?

Competitive salary with performance-linked incentives

Opportunity to work with a dynamic and innovative team

Gain experience in the fast-growing fintech industry

Experience • 1-3 years.

Skill to Test

• ReactJS

• JavaScript, jQuery

Primary Skills

• Frontend frameworks (ReactJS and/or Angular)

• Pure JavaScript, jQuery

• Bootstrap, HTML5, CSS, SASS

• CRM Development (Salesforce, Dynamics, ServiceNow)

• Working with third-party APIs

Secondary Skills (nice to have)

• Java EE (Servlets, JSTL, JSP, JDBC)

• Passionate about Implementing UX\UI of web applications

• API Design (REST)

• Understanding of browser technologies and limitations

Soft Skills

• Thrives collaborating in a team environment with a diverse range of people

• Passionate about delivering an amazing customer experience

• Able to have a change of mind, and able to change the minds of others

• Writes clearly and concisely

• Capable of working without a company office, with a fully remote team

Growth Skills

• Possesses a good work ethic; a self-starter with a desire to grow

• Always looking for better ways to get the job done

Engineer the Future of AI-Powered Recruitment Applications

About Us:

At PyjamaHR, we're creating recruitment software so intuitive you could use it in your pajamas. We integrate cutting-edge LLMs and Generative AI technologies into practical, powerful applications that are transforming how 525+ companies hire talent. While others are still talking about AI potential, we're shipping AI-powered features that deliver real value. As we scale from Bangalore to the US market, we need exceptional full-stack talent who can turn advanced AI capabilities into elegant, user-friendly experiences.

The Role:

As a Senior Full-Stack Engineer at PyjamaHR, you'll build the applications and interfaces that bring our AI capabilities to life. This isn't about training models—it's about implementing, integrating, and optimizing Generative AI within robust full-stack applications. You'll work across our entire technology ecosystem to create seamless experiences that leverage AI to solve real recruitment challenges. Your code will directly impact how companies discover, evaluate, and hire talent.

What You'll Do:

• Implement AI-Powered Features - Integrate Generative AI capabilities into practical, user-facing applications
• Build End-to-End Solutions - Develop both frontend experiences and backend services that leverage AI capabilities
• Create Scalable Architectures - Design systems that grow with our rapidly expanding user base
• Optimize Performance - Ensure our applications remain responsive even when processing complex AI operations
• Enhance User Experiences - Translate advanced AI capabilities into intuitive, accessible interfaces
• Drive Technical Excellence - Set standards for code quality and engineering practices across the team
• Collaborate Across Functions - Work with product, design, and data teams to deliver cohesive solutions
• Solve Complex Challenges - Apply your technical creativity to the unique problems of AI-powered recruitment

Who We're Looking For:

• 3-5 years of full-stack development experience building production applications
• Experience implementing and integrating Generative AI into web applications
• Expertise with either Django/React or Node.js/React technology stacks
• Strong experience with cloud platforms (Azure preferred, AWS acceptable)
• Proven ability to build performant, scalable web applications
• Excellence in modern JavaScript/TypeScript and frontend development
• Solid understanding of software architecture principles
• Product-minded approach to engineering decisions
• Ability to thrive in fast-paced environments with evolving priorities
• Bachelor's or higher in Computer Science or equivalent practical experience

The Rewards:

• Salary range of ₹30-40 LPA for exceptional talent (with room to negotiate for truly outstanding candidates)
• Equity package with significant growth potential
• Minimal bureaucracy and maximum impact
• Autonomy to make important technical decisions
• The opportunity to shape an industry-leading product
• Collaborative, innovation-focused work environment

Location: Bangalore (Koramangala 8th Block)

This role is perfect for engineers who want to apply their full-stack expertise to implement cutting-edge AI technologies in real-world applications. If you're excited about building the interfaces and systems that make advanced AI accessible and valuable to users, we want to talk to you.

• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)
• 5 years of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

Key Responsibilities: 

• Develop and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitOps practices. 
• Kubernetes Management: Deploy, manage, and troubleshoot Kubernetes clusters to ensure high availability and scalability of applications. 
• Cloud Infrastructure: Design, deploy, and manage cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, Lambda, and others. 
• Infrastructure as Code: Implement and manage infrastructure using IaC tools like Terraform, CloudFormation, or similar. 
• Monitoring and Logging: Set up and manage monitoring, logging, and alerting systems to ensure the health and performance of the infrastructure. 
• Automation: Identify and automate repetitive tasks to improve efficiency and reliability. 
• Security: Implement security best practices and ensure compliance with industry standards. 
• Collaboration: Work closely with development, QA, and operations teams to ensure seamless integration and delivery of products. 

Required Skills and Qualifications: 

• Experience: 2-5 years of experience in a DevOps role. 
• AWS: In-depth knowledge of AWS services and solutions. 
• CI/CD Tools: Experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar. 
• GitOps Expertise: Proficient in GitOps methodologies and tools. 
• Kubernetes: Strong hands-on experience with Kubernetes and container orchestration. 
• Scripting and Automation: Proficient in scripting languages such as Bash, Python, or similar. 
• Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or similar. 
• Monitoring Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or similar. 
• Version Control: Strong understanding of version control systems, primarily Git. 
• Problem-Solving: Excellent problem-solving and debugging skills. 
• Collaboration: Ability to work in a fast-paced, collaborative environment. 
• Education: Bachelor’s or master’s degree in computer science or a related field. 

Our client is a leading nature-based personal care products company backed by a Private Equity firm. It manufactures and markets Ayurveda/nature-based hair and skincare products under a well-known brand known for its commitment to marry the principles of Ayurveda with the best of natural ingredients to deliver outstanding products to customers across the globe.

Job Description:-

• Must have 8 years of relevant exp in SAP PP, QM Module.
• Must have 4+ years of SAP PP Experience with at least 2 to 3years of Domain exp
• Must have experience of both PP and QM modules
• Should have experience of executing 1-2End to end Implementations (S4 HANA Preferable).
• Expertise in requirements understanding, system design, development, testing methodologies, training, defining support procedures
• Strong knowledge and experience in SAP PP - SOP, Flexible planning, Capacity planning, Variant Configuration, CBP, Discrete, REM, LTP, Engineering & Organization Change Management, Batch Management as well as PP-PI processes.
• Strong knowledge and experience in SAP QM module - Master data, Batch Management, Notifications, Sample Management, Quality Inspection Plans, Quality Certificates, Stability Study, Deadline Monitoring, Vendor Evaluation.
• Experience in Implementation and Support Projects. In-depth knowledge in the below areas:
• Master Data - Bill of materials, Work centres/ Resources, Routings/ Recipe, Production versions, Inspection Plan, Master inspection, Characteristics, Catalogues and Code groups, Inspection Plan, - Material Requirement Planning (MRP)- Configuration and Integration with, Procurement, Sales and Distribution.
• Production Order Execution - Order confirmation, Goods issue, Goods receipt and Back flushing- Quality Management - Quality in Procurement, Quality in Production, In process inspection, Calibration and Quality in Sales
• Should have experience in writing Functional Specification, co-ordination with ABAP team, testing of new functionalities.
• Must have integration knowledge with FI, CO, SD, MM, PM modules.

Good to Have:

• Preferred if hands-on and good experience in SAP S/4 HANA configuration, migration, Fiori applications on latest HANA releases

Skills & Qualifications:

1. At least 4+ years of user interface design experience, designing visual language systems  for digital products and services 
2. Exceptional graphic design skills 
3. Strong and flexible skills in Visual design and Interaction design 
4. A passion for creating products that resonate on an emotional level 
5. Knowledge of user interface design processes and methodology, particularly as applied  to web-based applications 
6. Exceptional design talents with a stylistic breadth that demonstrates sensitivity to the  diverse subject matter—from product interaction to software tools and applications to  the web 
7. Self-motivation, excellent communication, an open mind, the ability to thrive in  multidisciplinary teams, and the skills to balance great design with short deadlines 
8. A love of collaboration and learning 
9. A fearless and positive attitude 
10. Successfully communicate conceptual ideas, detailed design, and design rationale, both  verbally and visually.  
11. Designing pixel-perfect interfaces with high attention to detail.   
12. Bachelor's degree in graphics design, interaction design, fine arts, communication  design or a related design discipline 
13. Can be a self-made designer with a proven track record 
14. Proficiency with design and prototyping tools such as Photoshop, Illustrator, Sketch, and InVision 
15. Experience in designing motion graphics will be helpful  
16. A good understanding of information architecture, interaction design, usability analysis,  and user-centered design. 

Perks:

1. Learning: As a fast paced startup, you get to learn fast. 
2. Team: Get to work with an awesome team of Engineers, Data Scientists and Product Managers. 
3. Mission: Get to see the impact of your work in helping millions of users get access to healthcare 
4. Workplace - easy access & comfortable office, near heart of Bangalore @Diamond District, Indira Nagar [https://www.youtube.com/watch?v=k5stK6y6atY" target="_blank">https://www.youtube.com/watch?v=k5stK6y6atY ] 
5. Ownership - Individually responsible for the complete work.