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Job Title: Design Interns

Location: Pune

Employment Type: Internship

About Us

Brainayan is a training consultancy that partners with leading tech clients to design and deliver

impactful learning and development solutions. We specialize in creating customized content,

innovative workshops, and organizational development initiatives. Our passion lies in making

learning engaging, practical, and tech-enabled.

Role Overview:

We are looking for a creative and detail-oriented Design to lead the design function and deliver

visually compelling materials that enhance our brand and learning experiences. The ideal

candidate will have strong expertise in presentation design, marketing collateral, and participant

toolkits, ensuring consistency and quality across all design outputs.

Key Responsibilities:

• PowerPoint Presentation Design:

o Create visually appealing and professional presentations for internal and external

stakeholders.

o Ensure alignment with brand guidelines and storytelling principles.

• Participant Toolkit Design:

o Design engaging and user-friendly toolkits for training programs and workshops.

o Collaborate with facilitators and content teams to ensure clarity and aesthetics.

• Brochure & Marketing Collateral Design:

o Develop brochures, flyers, and other marketing materials that effectively

communicate our offerings.

o Maintain brand consistency across all collateral.

• Brand & Visual Identity Management:

o Uphold and evolve the organization’s visual identity across all platforms.

o Ensure design standards are followed in all deliverables.

• Collaboration & Project Management:

o Work closely with cross-functional teams (Marketing, L&D, Sales) to understand

design requirements.

o Manage timelines and deliver high-quality outputs within deadlines.

Required Skills & Qualifications:

• Proven experience in graphic design and presentation design

• Proficiency in design tools such as Adobe Creative Suite (Photoshop, Illustrator,

InDesign) and PowerPoint.

• Strong understanding of layout, typography, and color theory.

• Ability to translate complex ideas into visually appealing designs.

• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience in Learning & Development or corporate training design.

• Knowledge of digital design trends and best practices.

Lead Data Engineer

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.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

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.

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

Position Title: Sales Specialists

 Location: PAN India (*Tier 1, Tier 2, Tier 3)

 Salary Range: 4 LPA to 5.5 LPA (includes performance bonus of 1 lac)+ IncenƟves+ Perks+ TA+ DA

 EducaƟon: Bachelor's degree in any stream or Master's degree/MBA

Key Responsibilities:

1. As a Sales Specialist/ExecuƟve, the candidate will be required to be in the field daily, engaging with potential clients, and generaƟng new business opportunities through personal visits, emails, and calls

and other field activities.

2. Build and maintain strong relaƟonships with new customers.

3. Present tailored solutions for endpoint protecƟon & network.

4. Focus on achieving the Individual target for Retail & SME.

5. Provide exceptional customer service and support throughout the sales process.

Opportunity

Create marketing material for our growth initiatives, social media platforms, and branding collaterals. The ideal candidate should have an eye for clean, simple, and artful visual design. A successful candidate will be able to translate high-level requirements into visual elements that align with the language of our products. 

What you will do:

• Develop out-of-the-box campaigns for Social Media channels (Facebook, Twitter, Instagram, YouTube).
• Conceptualize original graphic design ideas that bring simplicity and user-friendliness to complex roadblocks.
• Present concepts, participate in design/project critiques and refine design direction.
• Establish and promote design guidelines, best practices, and standards.
• Conceptualize and execute creative for organic/paid content & campaigns of varying scale and complexity for the app products, PR & Brand.
• Maintain accuracy and attention to detail throughout the creative and production process.
• Collaborate with cross-functional teams comprising interaction designers, content writers and product managers.
  
  

Experience Range: 

Proven 3-4  years of work experience as a Graphic Designer. Must have worked on digital marketing creatives. Having worked in the app product space is a huge plus. 

Technical Expertise:

• Demonstrable graphic design skills with a strong portfolio.
• Knowledge of Color Theory, Visual Hierarchy, Typography, Colour, and Information Composition.
• Proficiency in Adobe Suite especially Photoshop and Illustrator.
• Be able to design eye-catching branding, iconography, and illustrations. 
• Be able to work in a cross-functional team as well as independently.
• Up-to-date with the latest visual trends, techniques, and technologies.
• Must be comfortable with a fast-paced environment
• BS/MS in Visual Design, Graphic Design, Communication Design is a plus.

• Designing and building mobile applications for Apple’s iOS platform.
• Collaborating with the design team to define app features.
• Ensuring quality and performance of the application to specifications.
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates.