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Job Description:
We are looking for a Hardware Design Engineer (5–8 years) to join our core engineering team. The role involves end-to-end ownership of embedded hardware design, including schematics, component selection, library creation, and guiding PCB layout through fabrication in collaboration with PCB teams. The ideal candidate should have strong communication skills, a practical understanding of real-world systems, and the ability to work closely with cross-functional teams.
We are looking for a serious, long-term professional who is passionate about hardware design and willing to take full ownership of product development.
Job Responsibilities:
• Design and develop end-to-end embedded hardware systems (analogue & digital) from concept to production
• Architect and implement designs using MPUs/MCUs (i.MX, Sitara, STM32, Renesas)
• Develop robust schematics, perform component selection, and ensure reliability, safety, and compliance considerations
• Implement and integrate high-speed and industrial interfaces (DDR, Ethernet, USB, CAN, RS-485, SPI, I2C, UART)
• Perform circuit simulations and design validation using tools like PSpice / LTSpice
• Work closely with PCB layout engineers to:
• Define stack-up and routing constraints
• Ensure Signal Integrity (SI) and Power Integrity (PI)
• Review and approve PCB layouts
• Analyze schematics and design documents to guide PCB placement and routing strategy
• Lead board bring-up, debugging, and root cause analysis
• Use lab tools (oscilloscope, logic analyzer, etc.) for hardware validation and troubleshooting
• Ensure DFM/DFT compliance and support manufacturing, assembly, and testing
• Drive designs through prototype (PCBA), validation, and production readiness
• Collaborate with firmware and mechanical teams for system-level integration
• Participate in design reviews, risk analysis, and issue resolution
Required Skills:
• Strong expertise in analogue circuit design (power, filtering, protection, signal conditioning)
• Solid experience in digital design using MCU/MPU-based system
• Hands-on experience with:
o NXP i.MX / TI Sitara (MPU-based systems preferred)
o STM32 / Renesas microcontrollers
• Proven experience in high-speed hardware design:
o DDR memory interfaces
o Ethernet, USB, and high-speed communication buses
• Strong understanding of Signal Integrity (SI) and Power Integrity (PI)
• Experience working with and guiding PCB design using:
o Mentor Graphics Xpedition
o Cadence Allegro o Altium Designer
• Hands-on experience with simulation tools (PSpice, LTSpice)
• Strong hardware debugging skills using:
o Oscilloscope
o Logic analyzer
o Multimeter
• Experience in board bring-up and hardware validation
• Knowledge of DFM (Design for Manufacturing) and DFT (Design for Testability)
• Exposure to EMI/EMC design practices
• Experience in taking designs from schematic → PCB → PCBA → validation → production
• Good understanding of hardware–firmware interaction and system integration
• Strong problem-solving and root cause analysis capability.
Job Description – Assistant Sales Manager (ASM)
Location: Orion Mall, Bengaluru
Position: Assistant Sales Manager (ASM)
Industry: Premium Retail
About the Role
CAVA is looking for a confident, customer-focused, and well-presented Assistant Sales Manager (ASM) to join our premium retail environment at Orion Mall, Bengaluru.
The ideal candidate should have strong customer interaction and sales skills, excellent communication, and the ability to represent the CAVA brand professionally.
Key Responsibilities
- Assist in managing day-to-day store operations.
- Drive sales and achieve store revenue targets.
- Deliver an excellent and premium customer experience.
- Interact with customers, understand their requirements, and recommend suitable products.
- Demonstrate strong product knowledge and effectively pitch products to customers.
- Support the Store Manager in team coordination, staff management, and daily operations.
- Ensure proper product display, visual merchandising, and store presentation.
- Handle customer queries and resolve complaints professionally.
- Monitor inventory, stock movement, and product availability.
- Maintain high standards of grooming, hygiene, and store discipline.
- Support promotional activities and initiatives to increase sales.
- Ensure the store consistently reflects CAVA's premium brand image./
Candidate Profile
- Experience in Retail / Premium Retail / Lifestyle / Luxury Retail preferred.
- Strong communication and interpersonal skills.
- Proven customer handling and selling skills.
- Target-oriented with a strong sales mindset.
- Confident, polished, and well-groomed personality.
- Ability to work in a fast-paced retail environment.
- Strong team coordination and leadership abilities.
- Candidates with experience handling store operations or leading a retail team will be preferred.
What We Look For
Candidates should:
- Demonstrate that they have taken the time to understand the CAVA brand.
- Communicate clearly, confidently, and professionally.
- Showcase strong customer interaction and product-selling abilities.
- Be well-groomed, presentable, polished, and confident.
- Be comfortable representing a premium retail brand.
MUST HAVE SKILLS
1. Minimum 5 +years of experience in.Net, MVC, and Web API.c#.
2. Minimum 2-3 years of experience in Angular 5, Angular6+.
3. Very good communication skills.
4. Experience with RESTful APIs to connect other backend services.
5. Should have developed more than 2 applications.
6. CI/CD, GIT
7. Good with Threading
8. Experience with performance improvement of applications.
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.
Responsibilities:
- Design, implement, and maintain scalable and reliable database solutions on the AWS platform.
- Architect, deploy, and optimize DynamoDB databases for performance, scalability, and cost-efficiency.
- Configure and manage AWS OpenSearch (formerly Amazon Elasticsearch Service) clusters for real-time search and analytics capabilities.
- Design and implement data processing and analytics solutions using AWS EMR (Elastic MapReduce) for large-scale data processing tasks.
- Collaborate with cross-functional teams to gather requirements, design database solutions, and implement best practices.
- Perform performance tuning, monitoring, and troubleshooting of database systems to ensure high availability and performance.
- Develop and maintain documentation, including architecture diagrams, configurations, and operational procedures.
- Stay current with the latest AWS services, database technologies, and industry trends to provide recommendations for continuous improvement.
- Participate in the evaluation and selection of new technologies, tools, and frameworks to enhance database capabilities.
- Provide guidance and mentorship to junior team members, fostering knowledge sharing and skill development.
Requirements:
- Bachelor’s degree in computer science, Information Technology, or related field.
- Proven experience as an AWS Architect or similar role, with a focus on database technologies.
- Hands-on experience designing, implementing, and optimizing DynamoDB databases in production environments.
- In-depth knowledge of AWS OpenSearch (Elasticsearch) and experience configuring and managing clusters for search and analytics use cases.
- Proficiency in working with AWS EMR (Elastic MapReduce) for big data processing and analytics.
- Strong understanding of database concepts, data modelling, indexing, and query optimization.
- Experience with AWS services such as S3, EC2, RDS, Redshift, Lambda, and CloudFormation.
- Excellent problem-solving skills and the ability to troubleshoot complex database issues.
- Solid understanding of cloud security best practices and experience implementing security controls in AWS environments.
- Strong communication and collaboration skills with the ability to work effectively in a team environment.
- AWS certifications such as AWS Certified Solutions Architect, AWS Certified Database - Specialty, or equivalent certifications are a plus.
Your role as Business Development Executive:
● Buildandmanageaportfolio of partners by acquiring new and growing existing ones.
● Developadeepunderstanding of the industry, the respective market, and
competitive analysis.
● MeetandexceedteamKPItargets and business objectives.
● Supportnewandexisting clients via email, phone or chat
● Negotiate the terms of each partnership based upon the existing rebate structures.
● Generateideas to increase lead generation and conversion.
● Identify business opportunities, potential clients and VIP customers and negotiate in
order to create profitable accounts through identifying needs within the FX industry.
● Ensurepartner satisfaction by maintaining a professional relationship, handling and
following-up on issue resolutions and catering to Partner needs.
● Directing partners to a specific outcome through company approved communication
channels.
● Educatepartners on the Company’ platforms and websites, proactively offering new
tools and features to partners.
Requirements:
1. Minimum2yearsof experience in account management, client relationship or any
relevant client facing roles within the financial services industry.
2. Sales-driven and motivated personality to achieve KPIs on a weekly / monthly /
quarterly basis.
3. Strong client-facing and communication skills.
4. Ahunter &entrepreneur mindset with the ability to grow business sales;
5. Strong business acumen, project management abilities, and negotiation skills.
6. Proven ability to develop and implement a strategic business expansion plan.
7. Excellent verbal and written communication skills, including facilitation of group
presentations.
8. Ability to work on own initiative, expand and generate business.
9. Ability to work under pressure, face constant challenges, adapt to changes
Roles and Responsibilities
1. Ability to work on diverse backend stack such as Node JS, Java, Express JS
2. Ability to work on diverse frontend stack such as React JS, Angular 6/7/8/9, HTML5, CSS3
3. Ability to deliver quick POC’s using cutting edge technologies.
4. Preparing reports, manuals and other documentation on the status, operation and maintenance of software.
5. Design, develop, and unit test applications in accordance with established standards
6. Developing, refining, and tuning integrations between applications. Analysing and resolving technical and application problems.
7. Ability to debug application.
8. Should have complete knowledge on developing RESTful Services.
9. Should be able to also work in agile development methodology.
10. Work with designated JavaScript framework to design, develop, and debug web applications
11. Can work on Angular and Integrate backend services
12. Work with the team to manage, optimize, and customize multiple web applications
13. Manage end to end module lifecycle management of the product
14. Push and pull codes via Git repository
Competency Requirements
- Experience in NodeJS, Java and development using AngularJS / ReactJS
- Experience in front end frameworks such as Angular.js, React.js, Bootstrap, Foundation etc
- Experience in client/server application development
- Knowledge of agile development methodologies
- Knowledge of unit testing theory
- Knowledge of AWS cloud
- Experience in Java, Python and Go will be added advantage
Responsibilities
- Design and implementation of low-latency, high-availability, and performant applications
- Developing new features & refining existing features on server-side
- Implementation of security and data protection
- Integration of data storage solutions
Qualifications
- Proficient in NodeJS and experience working on frameworks such as Express, StrongLoop, etc.
- 2+ years experience working on consumer mobile products / businesses at scale.
- Proficient in asynchronous programming and its quirks and workarounds
- Experience working on User Authentication and Authorisation between multiple systems, servers, and environments
- Experience working on NoSQL DBs such as MongoDB
- Experience working on Unit Testing & Functional Testing frameworks for NodeJS
Benefits
- become a part of our early team, and shape products from grounds up
- Attractive Compensation & Stock Options
- empowered to build an amazing startup culture with us
- full ownership and massive growth opportunities
- and more...
Asp.Net Developers:
Experience-2-5 years
Developing a web application’s using MVC (Model-View-Controller) using .NET framework.
· Extensive experience in design and development of web applications using .NET and Web Technologies like HTML, CSS, Ajax, JavaScript, Bootstrap and J Query.
· Having experience in writing Stored Procedure using MS SQL Server 2017.
· Excellent code reviews and code debugging skills.
· Hands on experiences working with JIRA, Bit Bucket, GIT Lab and Confluence.
· Having knowledge on GIT Commands for code Deployment.
· Ability to learn quickly and develop on any new technologies.
· Excellent communication and interpersonal skills.
· Having good knowledge on React JS, View JS.
· Having good knowledge on Java programming.
Minimum 1 year of experience in SAP PAPM end to end implementation.





