Before jumping into all the information about the role and what you can bring to the table, let us introduce ourselves real quick. About us Insider One is the #1 platform that brings everything marketing and customer engagement teams need in one place so they can reach their peak potential and become unstoppable. Our story began with six desks and a vision to create a single platform to make industry-first technologies and emerging channels accessible to marketers worldwide. Today, Insider One is powered by 1,500+ team members representing 50+ nationalities across 30+ offices. With AI at its core and an integrated Customer Data Platform (CDP), Insider One unites data, personalization, and journey orchestration across the most extensive set of natively supported channels, including WhatsApp, SMS, Email, Web, App, and Site Search. We recently raised one of the largest funding rounds in the industry, a $500M Series E led by General Atlantic. We are backed by top-notch investors, including Sequoia Capital, QIA, Riverwood, and Endeavor Catalyst, and trusted by 2000+ customers from high-growth startups to the most prestigious Fortune 500 companies such as Samsung, Nike, L’Oreal, Singapore Airlines, Nestlé, Nissan, Lenovo, Puma, IKEA, Allianz, Domino's, and the list goes on. Insider One was congratulated for becoming one of the only woman-founded, women-led B2B SaaS unicorns in the world. Loved by customers, recognized by analysts, we are the only vendor recognized as the #1 leader in all the capabilities marketing and customer engagement teams need. Don’t just take our word for it — see for yourself. We consistently outperform and continue our leadership, and the results speak for themselves. From day one, Insider One’s mission has not only been to build a world-class product company, but also to create one of the most socially progressive technology communities in the world. Through our social responsibility initiatives like 100 Social Responsibility Projects, AI Training for Teachers, Code Academy, SheCodes, SheLeads, and SheMarkables, our community has committed to scaling its impact on our communities across 30+ countries, driving initiatives in health, education, farming, animal rights, and increasing women’s representation in STEM. Behind all these achievements is an exceptionally talented, visionary team of overachievers that moves fast and agile, creating cutting-edge products, and focuses on making an impact. If you want to be a part of this journey, just keep reading. And now? Now we are looking for a Software Engineer who wants to take their career one step further. If you think you are one of those people, here you will have the chance to work with the world's leading brands with Artificial Intelligence & Machine Learning technologies. Right now, while you are reading this, we are sending an average of 2.2 billion requests and almost 2 billion instant notifications to more than 450 servers a day. On the Artificial Intelligence and Predictive side, we have more than 100 TB of historical data. We do not wait for jobs or opportunities to come to our feet, we create them. We have now reached 25% of global users. If all these interests you, read on for more! Our Engineers and Software Developers always think with an innovative perspective, taking advantage of the inexhaustible power of the digital world. They create impressive and intelligent products like a true artist. Our Product and Development teams are affiliated with our Istanbul office, so we produce and develop the technology we export to the world in our own country. As Insider One, we believe in cooperation and adapting the innovations brought by technology by acting fast. We work closely with other Departments with agile teams, and we are not afraid of getting our hands dirty. As we said; we do not wait for jobs or opportunities to come to our feet, we create them ourselves. You can check our Tech Stacks here! What You Will Do - Design and maintain high-throughput, low-latency backend systems that process and serve massive amounts of data. - Collaborate across teams to deliver scalable, reliable, and high-performance solutions used by thousands of enterprise customers worldwide. - Solve complex technical challenges, from optimizing concurrency and synchronization to debugging distributed behaviors and improving system reliability. - Monitor and optimize key performance metrics — including throughput, latency, and resource efficiency — ensuring our systems always perform beyond expectations. - Continuously refine performance, recognizing that even small optimizations can have a massive impact when dealing with high-traffic environments. - Communicate complex ideas clearly, breaking down intricate technical concepts for both technical and non-technical audiences. At Insider One, we build and maintain the distributed data backbone that powers our global marketing technology platform — processing billions of data points every single day in real time. You’ll take ownership of the core data services and APIs that sit at the heart of Insider One’s infrastructure, ensuring they’re fast, reliable, and built to scale. What You Will Need - You have 3–6 years of backend engineering experience, ideally with Go as your main language. - You’ve built and operated distributed systems and understand the challenges of concurrency, synchronization, and data consistency. - You care deeply about performance, reliability, and clean code — and you love making measurable improvements. - You’re experienced with SQL databases (MySQL, PostgreSQL) and caching systems (Redis). - You’ve worked with any messaging or queue system (e.g., NSQ, NATS, Kafka, RabbitMQ, or similar). - You follow best practices across the development lifecycle — from design and reviews to testing and deployment. - You’re fluent in English and communicate effectively in a global team setting. Bonus Points If You Have - Experience with ClickHouse or other analytical databases. - Familiarity with real-time messaging systems like Kafka, Kinesis, or NATS. - Hands-on experience with Kubernetes and AWS infrastructure. - Interest in event-driven architectures, streaming pipelines, or gRPC-based communication. - A passion for observability, monitoring, and debugging complex distributed systems. What We Offer - Enjoy a monthly meal allowance designed to enhance your daily routine. - Access comprehensive private health insurance. - Feed your curiosity with access to Spotify, LinkedIn Learning, Blinkist, MasterClass, Neoskola, and CloudGuru. - Level up with internal trainings covering AI fundamentals, coding, foreign languages, and a wide range of personal development skills. - Be part of a diverse team that’s as global as it gets, where every voice is heard and 50+ nationalities build together. - Become a Shareowner through our eligibility-based “ESOP” and own a piece of what you build. - Help build the team you want to work with and enjoy rewarding referral bonuses. - Opportunities to give back to your community through volunteering and purpose-driven social impact projects. - From global retreats to team-building activities, expect year-round events that turn into lifelong memories. - Get inspired by the greatest minds in the tech industry through events like our Tech & Dev Talks. - Work from anywhere in Turkey through our fully remote setup. We aren't just hiring for a position; we are hiring for a mission — a mission to build a lasting legacy that will set the benchmark for the most progressive tech companies out there. To do this, we are looking for exceptional talent to join a community of good-hearted individuals who take high ownership and are relentlessly driven to go the extra mile. If this sounds like who you are and where you aspire to be, we are excited to meet you. We provide equal opportunity in a zero-discrimination workplace and not just welcome but also embrace everyone without regard to sex, race, color, nationality, religion, gender identity, sexual orientation, disability status, citizenship, or marital status. Please follow Insider One on LinkedIn, Instagram, X, Facebook and Medium!

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled GenAI Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: - Technical Leadership (40%) - Set technical direction and standards for ML projects - Make architectural decisions for ML systems - Review and approve technical designs - Identify and address technical debt - Champion best practices in ML engineering - Troubleshoot complex technical challenges - Evaluate and introduce new technologies and tools - Mentorship & Team Development (35%) - Mentor junior and mid-level ML engineers (2-5 engineers) - Conduct technical code reviews - Provide guidance on technical problem-solving - Help engineers debug complex issues - Create learning opportunities and growth paths - Share knowledge through workshops and documentation - Build technical competency across the team - Hands-On Technical Work (25%) - Contribute code to critical or complex components - Build proof-of-concepts for new approaches - Tackle highest-risk technical challenges - Develop reusable ML accelerators and frameworks - Maintain technical credibility through active coding Requirements: - ML Engineering Excellence - Deep ML Expertise: Advanced knowledge across multiple ML domains - Production ML: Extensive experience building production-grade ML systems - Architecture: Ability to design scalable, maintainable ML architectures - MLOps: Strong understanding of ML infrastructure and operations - LLM Systems: Experience with modern LLM-based applications and RAG - Code Quality: Exemplary coding standards and best practices - Technical Breadth - Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn - Cloud Platforms: Advanced AWS experience, familiarity with others - Data Engineering: Understanding of data pipelines and infrastructure - System Design: Ability to design complex distributed systems - Performance Optimization: Experience optimizing ML models and infrastructure - Software Engineering - Clean Code: Writes exemplary, maintainable code - Testing: Champions testing practices (unit, integration, ML-specific) - Git & Collaboration: Advanced Git workflows and collaboration patterns - CI/CD: Experience building and maintaining ML pipelines - Documentation: Creates clear, comprehensive technical documentation What We Offer: - Long-term B2B collaboration; - Fully remote setup; - A budget for your medical insurance; - Paid sick leave, vacation, public holidays; - Continuous learning support, including unlimited AWS certification sponsorship. Interview stages: - Recruitment Interview; - Tech interview; - HR Interview; - HM Interview.

• Design, develop, and maintain high-performance backend components in Perl, integrated with C-based core systems • Build mapping, customization, and business logic layers to interface with client, gateway, and host systems • Own end-to-end feature delivery, including automated testing (Java-based frameworks), code quality, and performance stability • Contribute to CI/CD pipelines, deployments, and release processes as part of delivery ownership • Build and integrate observability and monitoring features to ensure low-latency and self-recovering system operations • Participate in code reviews, architectural discussions, and knowledge-sharing sessions • Collaborate closely with cross-functional teams to deliver features from requirements to production and monitoring • Work with client stakeholders to clarify requirements, align expectations, and help resolve technical issues

• Own and ship AI features such as our agents, assistants, insights and more - from concept to production. • Design and implement backend services for AI integrations and data pipeline. • Build robust APIs and abstractions for internal AI usage • Drive system scalability: caching, optimization, processing patterns, etc • Contribute and drive the evolution of the infrastructure for AI including architecture, evaluation and iteration pipelines. • Solve complex AI challenges around AI accuracy, reliability, and quality – using rigorous quantitive approaches. • Advocate for our work externally – writing, speaking, and engaging with the broader AI community.