Associate Implementation Engineer

Role & Responsibilities

Platform Unification-

• Audit technical architecture across all products; identify divergence points and integration friction
• Define common data models, API conventions, event-driven patterns, and database strategies for all verticals
• Create the GinesysOne architecture blueprint — the north-star reference for all engineering decisions
• Drive migration of duplicated capabilities (notifications, integrations, UI components, API gateway) to Shared App Platform
• Establish and track a Unification Score measuring % of common capabilities on shared platform
• Lead the Architecture Guild with Principal Engineers — weekly cross-vertical alignment forums

Delivery & Execution-

• Co-own what and when with the CPO — shape what gets built, when it ships, and trade-off decisions
• Drive bug-free releases through rigorous testing and automation
• Accelerate release velocity and reduce commit-to-production cycle time
• Implement release health metrics: defect escape rate, rollback rate, hotfix frequency, MTTR
• Manage L3 engineering support and ensure root cause elimination

Process Standardization & AI-Native Engineering-

• Standardize coding standards, branching strategy, code review, and testing requirements
• Mandate AI-assisted code generation and reviews
• Implement unified CI/CD pipelines with automated testing and security gates
• Create an engineering handbook as a single source of truth

People & Team Building-

• Hire and develop Engineering Managers
• Build and scale Shared App Platform team
• Develop Principal / Staff Engineer career track
• Unify engineering culture across acquired entities
• Establish clear career ladders for IC and management tracks

Quality & Reliability-

• Own overall product quality and QA processes
• Define quality metrics and enforce release gates
• Ensure cross-product QA sign-off before releases

Cross-Functional Collaboration-

• Co-own roadmap with CPO
• Partner with Infra, Platform, and Security teams
• Enable standardized data pipelines and APIs
• Ensure secure coding and security reviews

Ideal Candidate

• Strong Head of Engineering / Engineering Director / VP Engineering profiles
• Mandatory (Experience 1): Must have minimum 14+ years of overall experience in software engineering roles.
• Mandatory (Experience 2): Must have minimum 5+ years of experience in senior engineering leadership roles (Head of Engineering / VP Engineering / Engineering Director or equivalent).
• Mandatory (Experience 3): Must have experience leading large engineering organizations managing 50+ engineers across multiple teams or product verticals.
• Mandatory (Experience 4): Must have strong experience defining and driving common technical architecture, platform standardization, or engineering unification across multiple products or systems.
• Mandatory (Experience 5): Must have deep expertise in scalable system architecture, SaaS platforms, microservices architecture, and event-driven systems.
• Mandatory (Experience 6): Must have proven experience building or scaling shared platforms/services, including common APIs, integration layers, shared services, or platform ecosystems.
• Mandatory (Experience 7): Must have ownership of engineering delivery and execution, including release management, development lifecycle optimization, automation practices, and establishing standardized engineering processes such as CI/CD, coding standards, testing practices, and engineering governance..
• Mandatory (Experience 8): Must have experience working in SaaS or product-based technology organizations.
• Mandatory (Note): Candidate should be based in Gurugram / NCR or must have a strong reason to relocate.
• Preferred (Experience 1): Experience working in Retail Tech, ERP, POS, OMS, or enterprise SaaS platform environments.
• Preferred (Experience 2): Experience collaborating closely with Product, Infrastructure, Platform, and Security leadership teams to drive engineering roadmap execution.

Perks, Benefits and Work Culture

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual Ginesys walkathon & related sporting events.
• Quarterly Coffee with CEO.

Note-“Urgently Hiring – Immediate Joiners Preferred”

Data Engineering

Role & Responsibilities

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP/BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or dbt to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate

• Strong Data Engineer Profile
• Mandatory (Experience 1) – Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Mandatory (Experience 2) – Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Mandatory (Experience 3) – Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Mandatory (Experience 4) – Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Mandatory (Core Skill 1) – Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Mandatory (Core Skill 2) – Must have programming experience in Python and/or SQL for data processing.
• Mandatory (Core Skill 3) – Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Preferred (Experience 1) – Exposure to data migration projects and/or data mesh architecture concepts.
• Preferred (Skill 1) – Experience with Spark/PySpark or large-scale data processing frameworks.
• Preferred (Company) – Experience working in product-based companies or data-driven environments.
• Preferred (Education) – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

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Job Overview:

We are looking for a detail-oriented and proactive Apparel Merchandiser to manage the end-to-end merchandising process. The candidate will be responsible for coordinating with buyers, vendors, and internal teams to ensure timely production, quality standards, and cost efficiency.

Key Responsibilities:

• Manage the complete merchandising cycle from order booking to final delivery
• Coordinate with buyers for product development, sampling, and approvals
• Work closely with design, production, and quality teams
• Source fabrics, trims, and accessories as per buyer requirements
• Follow up on sampling, costing, and order confirmations
• Ensure timely production and delivery as per deadlines
• Monitor product quality and ensure compliance with buyer standards
• Handle vendor management and maintain strong relationships
• Track order status and prepare reports (WIP, TNA, etc.)
• Negotiate pricing and ensure cost optimization

Key Skills Required:

• Strong knowledge of garment manufacturing and merchandising processes
• Good understanding of fabrics, trims, and production techniques
• Excellent communication and coordination skills
• Strong negotiation and problem-solving abilities
• Ability to manage multiple orders and deadlines
• Proficiency in MS Excel and reporting tools

Qualifications:

• Bachelor’s degree in Fashion Technology / Textile / Apparel Merchandising or related field
• Relevant industry experience in apparel/export houses/retail brands

Preferred Industry Experience:

• Garment Export Houses
• Buying Houses
• Retail / Fashion Brands

We Are Expanding Our Marketing Team at Byte Elephants

Technologies!

Join us in building one of India’s smartest SaaS Growth Engines.

Byte Elephants Technologies is on an ambitious mission to reshape the future of SaaS for ERP, DMS, HRMS, SFA, WMS, POS & Enterprise Automation.

To fuel our next phase of expansion, we are building a high-performance, AI-powered Marketing & Growth Division — and we are hiring four specialist roles.

1. Content & AI Creative Specialist
2. Social Media Lead Generation Specialist
3. Performance Marketer
4. SEO Specialist

If you are Best in Any One of These, Then Reach Out to Us.

We invite passionate, skilled, and growth-driven individuals to become part of our fast scaling team.

Two Role Descriptions

1.Content & AI Creative Specialist (Blogs + Graphics + Scripts + Videos)

Role Summary

Produce high-quality content across all formats using a combination of writing skills, design thinking, and AI tools. This is the content engine of Byte Elephants.

Key Responsibilities

 Create blogs, articles, case studies, landing page content

 Use AI tools (ChatGPT, Jasper, Copy.ai, Writesonic) for ideation

 Design social creatives using Canva / Photoshop / Figma

 Create reels, short-form videos, explainers (CapCut, InVideo, Descript,

RunwayML)

 Repurpose long content into multiple short formats

 Support SEO & SMM teams with content requirements

Ideal Candidate

 Strong English communication

 Creative + fast learner

 Basic design + video editing skills

 Knows how to operate AI tools effectively

2.Social Media Lead Generation Specialist (LinkedIn + Instagram +

Engagement + Social Conversions)

Role Summary

Build Byte Elephants brand authority and generate inbound leads via LinkedIn,Instagram, YouTube & Facebook. Drive engagement, community building and social-first content strategy.

Key Responsibilities

 Manage daily posting, engagement & brand storytelling

 Build LinkedIn presence via content, outreach & micro-videos

 Plan monthly social media calendars

 Run organic + paid social lead generation activities

 Convert social traffic into MQLs via lead magnets & landing pages

 Track analytics: reach, impressions, CTR, lead contribution

Ideal Candidate

 Deep understanding of LinkedIn marketing

 Strong sense of visual + content-based communication

 Experience in reels, carousels & SMM tools (Buffer, Zoho Social, Predis)

• End-to-end ownership of new feature development, from design, through implementation, testing, deployment, and maintenance in production
• Translating of high-level requirements and end-user use cases into design proposals, including integration with external services and constraints of underlying service infrastructure
• Maintaining constant focus on scalability, performance and robustness of a feature, on the top of base functional implementation
• Designing and implementing logging, monitoring and alerting functions as core parts of overall software solution
• Documenting your own work and design solutions
• Decomposing complex features into smaller, short-term deliverable tasks
• Managing priorities of multiple tasks, providing up-to-date estimates for a milestone delivery

• 5+ of industry experience in technical leadership roles
• Solid knowledge of Go-Lang, Python, C/C++, SQL, shell scripting and Linux operating environment.
• End-to-end experience in design and development of highly scalable enterprise and cloud data products.
• Ability to challenge and redefine existing architectural fundamentals in order to provide next level of performance and scalability; ability to foresee post-deployment challenges.
• Hands-on experience with design and troubleshooting of scalable web services, advanced file systems, geographic replication, distributed databases and modern operating systems.
• Experience with modern DevOps technologies such as Docker and container orchestration, service deployment, monitoring and scaling
• Ability to work with multi-cultural, globally distributed teams to a common unifying product vision and closely coordinate with cross-functional teams in different time-zones.
• Passion to deliver enterprise-grade products to customers and to continuously work with engineering team to refine the product in the field.

The Human Resource Manager will lead and direct the routine functions of the Human Resources (HR) department including hiring and interviewing staff, administering pay, benefits, and leave, and enforcing company policies and practices.