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Samsung

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Samsung Developer

savannahr.com

Seelingo

WHO WE’RE LOOKING FOR

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You are the right fit for this job if you have worked deeply on mobile-first e-commerce experiences — product pages, cart flows, checkout journeys, payment handoffs, page speed, and conversion-focused UI. Experience with Vue.js is important and you should be able to implement, debug, and improve frontend features across both Vue-based environments and Woocommerce as our main website is built on WooCommerce.

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We are not looking for someone who only builds pages visually. We need someone who understands how frontend execution directly impacts conversion, user trust, checkout completion, analytics tracking, and overall customer experience.

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REQUIREMENTS

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• You've spent 3–6 years building front-end for real products, ideally e-commerce

• HTML, CSS, JS (ES6+) & WooCommerce is something you've actually shipped in

• Worked with Vue JS (mobile front end experience is necessary - ios/android/msite)

• BSc /BTech / BBA / BCA or equivalent but your portfolio is most important

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KEY RESPONSIBILITIES

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• Own the front-end of Gluzo's e-commerce platform — performance, UX, and reliability

• Work directly with design, product, and IT & AI teams

• Build responsive, optimized experiences that work across every device and browser especially mobile

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JOIN US

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• Fast growing company

• AI-led ECommerce

• Fast-moving team: ideas ship in days, not quarters


Front End Developer

The problem

Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.

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What you will own

Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:

● A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works

● An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output

● A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies

● ERP connectors, GST validation logic, and a write-back layer that closes the loop

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What we need

● Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load

● Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast

● LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed

● Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person

● Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are

● You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke.

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That pattern needs to be visible in your history

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Good to have, not mandatory

● Built an agentic pipeline with multiple stages

● Any fintech, P2P domain experience - even tangential

● Worked at a startup with under 20 people

● Has a GitHub, blog, or writeup that shows how you think about a hard technical problem

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What you get

● The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on

● Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now

● Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise

● No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why

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Founding Engineer

About the Role

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We are looking for an experienced Team Lead Software Development to lead a high-performing engineering team focused on building enterprise-grade digital experience monitoring and management solutions. In this role, you will drive the full software development lifecycle, mentor developers, and ensure the delivery of scalable, secure, and high-quality software products. You will work closely with cross-functional teams including product management, UX design, and QA to deliver innovative solutions that enhance end-user digital experiences across organizations.

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Roles and Responsibilities

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- Lead and manage a team of software developers, providing technical guidance, mentorship, and career development support

- Drive the end-to-end software development lifecycle (SDLC) using Agile methodologies, ensuring timely and high-quality delivery of features and releases

- Architect and design scalable, secure software solutions for digital experience monitoring platforms, ensuring compliance with OWASP security standards

- Collaborate with product management, UX designers, and other engineering teams to define technical requirements and translate business needs into robust software solutions

- Oversee cloud infrastructure and deployment pipelines using Azure, Docker, and Kubernetes, ensuring high availability and performance of production systems

- Implement and maintain data streaming and processing solutions using technologies such as Apache Kafka and Databricks for real-time analytics and monitoring

- Conduct code reviews, enforce coding standards, and promote best practices in software engineering across the team

- Manage sprint planning, backlog grooming, and retrospectives, ensuring continuous improvement in team velocity and delivery quality

- Identify and resolve technical debt, performance bottlenecks, and scalability challenges in existing systems

- Stay current with emerging technologies and industry trends, evaluating and recommending new tools and frameworks to improve development efficiency

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Qualifications

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- 10-15 years of experience in software development with at least 2-3 years in a team lead or engineering management role

- Strong expertise in Agile methodologies (Scrum/Kanban) and experience managing sprints, releases, and cross-functional collaboration

- Deep knowledge of SDLC processes, software architecture patterns, and OWASP security best practices

- Hands-on experience with cloud platforms (Azure preferred), containerization (Docker, Kubernetes), and CI/CD pipelines

- Proficiency with data streaming technologies (Apache Kafka) and big data platforms (Databricks) for building real-time data pipelines

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field

- Excellent communication, leadership, and stakeholder management skills with the ability to influence technical decisions at senior levels

- Experience with digital experience monitoring, endpoint management, or IT infrastructure management solutions is a strong plus


Team Lead Software Development

About the Role

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We are looking for a Marketing Engineer with deep hands-on martech experience to support and scale a sophisticated Marketing Operations ecosystem. You will own technical implementation, system integrations, data flows, and automation across the marketing technology stack. This role is ideal for someone who thrives on building highly connected, measurable, and automated marketing systems.

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Key Responsibilities

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- Build, maintain, and optimise marketing automation programs, workflows, lifecycle processes, and data models within the core MAP (e.g., HubSpot, Marketo, or equivalent).

- Configure and manage CRM-side marketing processes through platform administration and low-code development (e.g., Salesforce Flows, custom objects).

- Own integrations between marketing platforms and core business systems using iPaaS tools (e.g., Workato, Zapier), API-based connectors, or native integrations.

- Administer and configure key martech platforms including intent and ABM tools, web analytics (GA4), data enrichment and AI automation tools, and integration middleware.

- Develop and maintain lead scoring models, marketing attribution frameworks, lead routing logic, and campaign tracking infrastructure.

- Monitor system health across the martech stack, troubleshoot data sync issues, and ensure reliable data flow between marketing tools and CRM.

- Implement and govern advanced tracking including UTM taxonomy, conversion event configuration, and multi-touch attribution models.

- Collaborate with Marketing Ops and Revenue Operations teams on cross-system data flows, reporting pipelines, and data normalisation.

- Evaluate emerging martech tools and technologies; support vendor assessment and technical implementation of new platforms.

- Maintain comprehensive documentation, workflow diagrams, integration architecture maps, and system runbooks.

- Support data privacy compliance (GDPR, CCPA, and regional equivalents) and email deliverability best practices.

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Requirements

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- Experience: 3-5 years of hands-on experience in Marketing Operations, Martech Engineering, or GTM Engineering roles.

- MAP Expertise: Deep functional and technical expertise in at least one major marketing automation platform (e.g., HubSpot, Marketo, Pardot, Eloqua).

- CRM Proficiency: Working knowledge of CRM platforms (e.g., Salesforce, Dynamics 365) including admin-level configuration.

- Martech Stack: Demonstrated experience with B2B martech tools such as ABM/intent platforms, web analytics, enrichment tools, event platforms, direct mail tools, interactive demo tools, and integration middleware.

- Integration Skills: Ability to build and maintain API-driven integrations, automation logic, and complex multi-step workflows across systems.

- Analytical Mindset: Strong analytical skills with experience building attribution models, lifecycle stage definitions, scoring frameworks, and routing rules.

- Data Fluency: Comfortable working with data models, transformation logic, system architecture, and ideally SQL for reporting and analysis.

- Communication: Excellent problem-solving abilities with strong cross-functional collaboration and stakeholder communication skills.

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Nice to Have

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- CRM platform certifications (e.g., Salesforce Administrator, Platform App Builder).

- Experience with marketing influence and attribution reporting tools or frameworks.

- Familiarity with SQL, data warehousing concepts, or BI tools (e.g., Looker, Tableau, Power BI).

- Background in B2B SaaS, technology, or high-growth environments.

- Experience supporting global or distributed marketing teams.


Marketing Engineer

This role is for engineers who thrive in Linux-based distributed systems and want to build highly available, non-disruptive storage infrastructure used by global enterprises.

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You will directly contribute to high availability (HA), upgrade orchestration, and protocol-level resilience across NFS, SMB, and related services. Your work will impact uptime, data integrity, and customer trust at enterprise scale.

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This role is ideal for engineers who:

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Have designed and shipped distributed systems in C/C++

Enjoy solving deep Linux and filesystem challenges

Want ownership of critical infrastructure components

This role is not designed for:

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Engineers focused primarily on frontend or application-layer development

Candidates without hands-on Linux systems programming experience

Level & Scope Definition

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As a Senior Software Engineer, you will:

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Own and evolve core HA and upgrade subsystems within the NAS appliance.

Design and implement fault-tolerant mechanisms in Linux-based clustered environments.

Independently drive technical solutions from design through deployment.

Participate in architecture reviews and influence platform decisions.

Collaborate cross-functionally with QA, Cloud, Support, and Platform teams.

Investigate and resolve complex production issues affecting reliability or performance.

This role operates with high autonomy and system-level accountability but does not include people management responsibilities.

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Key Responsibilities

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Design and implement high availability mechanisms using clustering technologies (e.g., Pacemaker, Corosync).

Build and maintain non-disruptive upgrade systems for distributed storage environments.

Develop high-performance services in C and C++ within Linux/CentOS environments.

Optimize multi-threaded I/O and storage subsystems for performance and reliability.

Enhance protocol integrations including NFS, SMB, CIFS, and Samba.

Debug complex production defects across distributed and filesystem layers.

Contribute to SDK and API integrations between on-prem and cloud storage environments.

Collaborate on architectural evolution of Nasuni’s operating system and NAS platform.

Must-Have Qualifications

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5+ years of experience building large-scale distributed systems or cloud infrastructure services.

Strong proficiency in C and C++ for performance-critical systems.

Deep experience with Linux internals and filesystems (XFS, EXT).

Hands-on experience with Linux clustering technologies (Pacemaker, Corosync, or equivalent).

Experience designing high availability or failover systems.

Strong understanding of multi-threaded systems and I/O performance tuning.

Preferred Qualifications

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Experience with hypervisors (ESX, Hyper-V, KVM, OpenStack).

Exposure to cloud storage backend integration (AWS, Azure).

PostgreSQL experience.

Docker or Kubernetes familiarity.

Experience working with storage protocols (NFS, SMB, CIFS, Samba).

Experience developing or integrating enterprise APIs.

Ideal Qualifications

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Demonstrated ownership of HA or upgrade frameworks in production environments.

Experience contributing to open-source systems projects.

Experience supporting enterprise-scale customers.

Familiarity with distributed system failure modeling and recovery patterns.

Experience Guidelines

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5–10 years total software engineering experience.

3+ years in distributed systems or infrastructure software.

2+ years working in Linux-based production systems environments.

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Samsung Developer

Description

Senior Software Engineer - Protocols

Marketing Engineer

Team Lead Software Development

Founding Engineer

Front End Developer

Senior Software Engineer - Protocols

Marketing Engineer

Team Lead Software Development

Founding Engineer

Front End Developer

Senior Software Engineer - Protocols

Marketing Engineer

Team Lead Software Development