AI Engineer

Dear Candidates,

We have an urgent requirement for the role of Assistant Manager – Angular Developer. Please find the details below:

Experience (YOE): 5–8 Years

Location: Bengaluru / Delhi / Hyderabad (Bengaluru – Ecospace preferred)

Joining: Immediate joiners preferred

Job Description:

• Strong experience in front-end development with a focus on Angular (latest version).
• Develop scalable, high-performance web applications.
• Design, code, debug, test, and optimize user-facing features.
• Ensure responsiveness, cross-browser compatibility, and application security.
• Collaborate with backend teams, UI/UX designers, and stakeholders.
• Perform unit and integration testing; troubleshoot and resolve issues.
• Follow coding standards and Agile methodologies.

Technical Skills Required:

• Angular (19+), JavaScript, TypeScript, HTML5, CSS3
• RxJS, NgRx (or other state management tools)
• REST API integration
• Git, JIRA, Confluence
• CI/CD tools (Jenkins, Docker, Azure DevOps)
• Good understanding of performance optimization and security practices

Nice to Have:

• Exposure to Node.js and backend integration
• Experience with microservices architecture

Qualification:

• Bachelor’s or Master’s degree in Computer Science or related field

Job Title: Legal Assistant

Experience Level: 1–3 years

Location: Vadodara, Gujarat, India

Shift Time: US Shift (EST/ PST)

Overview

We are hiring a Legal Assistant to support our U.S.-based legal team. This is a client-facing role requiring professional English proficiency. While North American experience is preferred, it is not mandatory. The ideal candidate will have strong legal drafting and research skills, excellent communication abilities, and proficiency in legal and administrative software.

Key Responsibilities

Legal Research and Analysis

· Conduct legal research using Westlaw, public databases, and AI tools, etc.

· Interpret statutes, case law, and regulations.

· Draft memos of law summarizing findings to support litigation strategy.

Document Preparation and Management

· Draft and proofread legal documents including: Demand letters, Cease and desist letters, Complaints, Notices of motion, Affidavits and affirmations, Subpoenas, Deposition preparation materials, Letters and emails to courts and agencies.

· File documents with courts and administrative bodies.

· Maintain organized case files and calendars using software like Practice Panther or Clio (as per client requirements).

· Format documents in PDF, DOCX, Word, CSV, XLSX.

· Create document templates within case management systems.

Client Communication and Case Management

· Conduct client intake and gather relevant documentation.

· Maintain professional communication with clients, courts, agencies, and legal teams.

· Track case progress and update records in case management software.

Trial Preparation

· Prepare trial exhibits and visual aids.

· Coordinate with witnesses and manage courtroom logistics.

· Ensure timely submission of all trial-related documents.

Investigation and Fact Gathering

· Perform background checks and public record searches.

· Locate and interview witnesses or relevant parties.

· Compile findings into reports for attorney review.

Administrative Support

· Assist attorneys with workflow and task management.

· Schedule meetings, manage correspondence, and support internal reporting.

· Perform clerical tasks including filing, and document organization.

Ethical Considerations

· Maintain confidentiality of sensitive information.

· Adhere to ethical standards, legal assistants may not provide legal advice or represent clients in court.

Required Skills

· Professional English proficiency (spoken and written)

· Excellent communication skills

· Proficiency in Microsoft Office Suite (Word, Excel)

· Proficiency in Outlook and Microsoft Teams

· Experience with case management software (e.g., Practice Panther, Clio)

Must-Haves

Must have 1–3 years of experience as a Legal Assistant or in a similar legal support role.

Strong legal research and drafting skills with knowledge of U.S. legal terminology and documentation.

Excellent written and spoken English with professional client-facing communication skills.

Proficient in Microsoft Office Suite, Outlook, and Teams.

Experience using legal case management tools like Practice Panther or Clio.

Detail-oriented, organized, and able to handle multiple tasks in a fast-paced environment.

Candidates must be based in Vadodara or nearby and able to travel to the office as needed. While the role is primarily remote, occasional office visits (usually once or twice a month) during U.S. shifts (EST/PST) will be required.

Nice to Haves

Legal Research and Analysis

Document Preparation and Management

Client Communication and Case Management

Trial Preparation

Investigation and Fact Gathering

Administrative Support

Ethical Considerations

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.

If you are interested contact me at

aravindgorla

@

kiaraglobalservices.com

or

928

11

11

527

Academic Qualification: Any Graduate (B. Com, B.Sc., BBA) or MBA (Marketing)

Experience: 4+ Years of experience

Job Summary & Key Responsibilities :

Must own a two-wheeler & a valid driving license

Skills & Proficiency:

Experience in Building Materials, Construction, Insurance or other industry.

Work experience in the real estate industry or construction industry having contacts in builders, Developers & construction companies is preferred.

Communication Skills: English, Telugu & Hindi

Job Description:

1. Design, implement and deliver custom solutions using the existing robotics framework.
2. Debug issues, do root-cause analysis and apply fixes.
3. Design and implement tools to facilitate application development and testing.
4. Participate in architectural improvements.
5. Work with team members in deployment and field testing.

Requirements:

1. Bachelor Degree / Masters in Engineering (ECE or CSE preferred)
2. Work experience of 3+ years in software programming.
3. Proficiency in Python programming for Linux based systems.
4. Full understanding of software engineering.
5. Basic Knowledge of Robot Operating System(ROS) is a plus.
6. Good understanding of the algorithms and control loops.
7. Working knowledge of Git: creating, merging branches, cherry-picking commits, examining the diff between two hashes. Advanced Git usage is a plus.
8. Knowledge of video streaming from edge devices is a plus.
9. Thrive in a fast-paced environment and have the ability to own the project’s tasks end-to-end with minimum hand-holding
10. Learn and adapt new technologies & skills. Work on projects independently with timely delivery & defect free approach.

QA Engineer

Job Description

Foodrik is looking to launch a range of tasty, fun and nutritious products for children. Seed funded, we are currently in stealth mode and at pre-launch stage with imminent commercial launch. 

We are looking for a motivated and passionate person to join the leadership team with equity ownership. 

You will be responsible for driving the digital footprint, establishing the brand identity and growing and managing sales through various platforms such as ecommerce marketplaces and our own website. 

Some of the key deliverables will include: 

• Build e-commerce, ambassador network, retailers, and D2C arm of the brand to drive businessgrowth while developing newer channels
• Drive impact of Brand through Digital activations
• Must have experience in Amazon Marketing Services (AMS) and Key account management withecommerce channels
• Plan and execute all digital marketing, including google ads, social media marketing withexpertise in Facebook and Instagram marketing, email marketing and display advertisingcampaign
• Designing innovative engagement strategies for the target customer base (e.g. gamification),
• Measure and report performance of all digital marketing campaigns, and assess against goals(ROI and KPIs)
• Manage CRM, customer feedback and data analytics
• Work closely with operations to ensure supply metrics are achieved and maintaining inventorylevels

Key candidate requirements are: 

• Relevant experience in the online food and beverage space is essential
• MBA is preferred
• Ability to multi task and willing to work across roles and functions
• Experience across online marketing channels, social media, affiliates, influencer marketing,display advertising, CRM & email marketing and gamification

You need to be entrepreneurial in mindset, outcome-oriented, and have a demonstrated track record of creating step-change growth for B2C business and driving online sales and digital engagement. 

The founder has piloted the project till now and wants to strengthen the leadership team to build growth momentum and get a motivated individual to lead the front-end of the business. The role will have the thrills and challenges that go with working in a startup, driving value, dealing with limited resources. 

If the role excites you and you are looking to work with a mix of fixed salary and equity ownership, get in touch with us