Integration Engineer (SDK)

Truecaller

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: You will play an important role in developing data pipelines, frameworks, and models to support the understanding of our users and better product decisions. You will help empower product teams with a complete self-serve analytics platform by working on scalable, robust solutions while collaborating with data engineers, data scientists, and data analysts across the company. What you’ll do:         Drive Architectural Vision & Execution * Design for Scale: Lead the architectural design and hands-on implementation of high-throughput, low-latency data pipelines using Spark and Kafka to process massive datasets. * Build Core Infrastructure: Develop, optimize, and maintain robust data models in BigQuery and orchestrate complex, multi-layered data workflows using Apache Airflow. * Operationalize AI/ML: Partner directly with Data Science teams to take machine learning models out of the lab and into production. Design the architecture that allows these models to serve real-time predictions and insights to downstream services.        Lead Complex, Cross-Functional Initiatives * Navigate Ambiguity: Take ownership of highly ambiguous business problems, translating vague stakeholder requirements into concrete, actionable technical roadmaps. * End-to-End Delivery: Autonomously drive complex, multi-squad projects from the initial whiteboard design phase through large-scale deployment and long-term maintenance. * Cross-Business Alignment: Collaborate with Product Owners and technical leaders across different Business Units to ensure your data systems support the overall company strategy and maximize end-user value.        Elevate Engineering Standards & Team Performance * Champion Quality: Actively lead large-scale refactoring efforts and continuously drive improvements in code quality, system reliability, and internal tooling. * Proactive Problem Solving: Act as the vanguard for system health—spotting subtle, long-term performance bottlenecks early and architecting workable solutions before they impact the business. * Mentorship & Coaching: Dedicate time to leveling up the broader engineering organization. Conduct rigorous architectural and peer code reviews, mentor senior and junior engineers, and promote a pervasive culture of technical excellence. What you bring in:         Architecture & Tech Stack * Core Engineering: Exceptional proficiency in programming in Python / Scala to build robust, highly optimized data systems. * Distributed Systems: Extensive architectural experience with Apache Spark and Kafka (or equivalents like Flink, Kinesis, GCP Pub/Sub) to build high-throughput, low-latency pipelines handling AdTech-scale data (millions of events/sec). * Data Warehousing & Orchestration: Expert in data modeling and query optimization in BigQuery (or Snowflake / Redshift). Proficient in orchestrating complex DAGs and workflows using Apache Airflow (or Dagster / Prefect). * MLOps & AI Integration: Experience deploying machine learning models into production. Ability to engineer deployment architectures that translate AI models into scalable, low-latency APIs for downstream services.        Complex Execution * End-to-End Ownership: Proven track record of leading complex, cross-squad projects from initial whiteboard design through large-scale deployment and maintenance. * Problem Decomposition: Strong ability to break down highly ambiguous technical problems into clear, actionable development plans for multiple teams.        Engineering Leadership * Engineering Standards: Drives the adoption of architectural best practices, robust testing methodologies, and high engineering standards across the organization. * System Evolution: Leads large-scale codebase refactoring, system health improvements, and the evolution of internal tooling. * Mentorship: Actively mentors senior and junior engineers, conducts rigorous architectural/code reviews, and guides the team's long-term technology choices. It would be great if you also have: * Transactional Databases: Hands-on experience with operational RDBMS (e.g., PostgreSQL, MySQL) and low-latency NoSQL data stores (e.g., Redis, Cassandra). * Microservices Architecture: Experience building or integrating with microservice ecosystems, including API design (REST, gRPC) and container orchestration (Docker, Kubernetes). * Infrastructure as Code (IaC): Proficiency in provisioning cloud data infrastructure using Terraform and configuring robust CI/CD pipeline What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package:  Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

CUBE

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.    Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Purpose This role focuses on cloud-native platform engineering: building self-service infrastructure, standardised deployment patterns, and reliable runtime platforms on Azure. You will work closely with software, data, and ML teams to provide guardrails, automation, and operational excellence across the full system lifecycle. Key Responsibilities • Design, build, and operate shared platform services on Microsoft Azure, with a strong focus on AKS-based runtime platforms. • Develop and maintain reusable infrastructure and platform modules (Terraform, Helm) that enable safe self-service by application, data, and ML teams. • Own platform components end-to-end (build–run), including availability, performance, security, cost, and operability. • Define and evolve platform standards and golden paths for workload onboarding, networking, identity, secrets, observability, and scaling. • Implement infrastructure and platform changes using Infrastructure as Code (Terraform) and GitOps-style workflows. • Contribute to and improve CI/CD pipelines using Azure DevOps and GitHub Actions, including automated validation, approvals, and rollbacks. • Reduce manual operational effort through automation, self-service tooling, and opinionated defaults. • Ensure platform services meet agreed SLOs, security controls, compliance requirements, and resilience standards. • Implement and maintain observability using New Relic, including metrics, logs, alerts, and dashboards. • Lead or support investigation and resolution of complex platform incidents; contribute to post-incident reviews and systemic improvements. • Design and validate backup, recovery, and disaster recovery mechanisms for platform-managed services. • Enable application teams with reliable deployment and runtime patterns (e.g. ingress, service mesh, secrets, scaling, CI/CD integration). • Support DataOps and MLOps workloads by providing secure, scalable platforms for data pipelines, model training, and inference. • Collaborate with data and AI teams on services such as Microsoft Fabric, data platforms, and ML lifecycle tooling. • Act as a senior technical partner to software engineers, data engineers, and ML engineers. • Provide technical input into solution and service design, ensuring operational and platform considerations are addressed early. • Mentor and support junior and mid-level engineers, sharing platform engineering best practices. • Contribute to continuous improvement of platform processes, documentation, and standards. Skills & Competencies • Someone with 4-6 years of strong experience in cloud engineering, with hands-on expertise in Microsoft Azure. • Production experience operating Azure Kubernetes Service (AKS) at scale. • Advanced use of Terraform for infrastructure and platform provisioning (modules, state management, governance). • Strong working knowledge of Helm for Kubernetes workload and platform configuration. • Experience building and operating CI/CD pipelines using Azure DevOps and/or GitHub Actions. • Solid understanding of cloud networking, identity (Azure AD / Managed Identity), private endpoints, and security controls. • Experience designing self-service platforms or reusable infrastructure patterns. • Strong understanding of reliability engineering, incident management, and change control in production environments. • Practical experience with observability and monitoring, ideally with New Relic or equivalent tools. • Ability to balance delivery speed with risk management, stability, and long-term sustainability. • Clear communicator, able to explain technical trade-offs and risks to both technical and non-technical stakeholders. • Comfortable working autonomously within a defined platform scope. • Strong sense of ownership and accountability for platform outcomes. • Exposure to DataOps or MLOps practices, tooling, or platforms. • Experience supporting data pipelines, lakehouse architectures, or ML workloads on cloud platforms. • Familiarity with Microsoft Fabric, ML pipelines, model deployment, or feature stores. Required Experience & Qualifications • Relevant experience, training, or demonstrated capability for the role's track, domain, and level. • Practical understanding of the tools, methods, governance, and delivery practices used in the role. • Ability to work effectively with relevant stakeholders and contribute to reliable, high-quality outcomes. • Relevant degree, professional qualification, certification, apprenticeship, or equivalent experience is desirable where applicable. Performance Indicators • High availability and reliability of platform services used by delivery teams. • Safe, repeatable, and automated platform changes with minimal unplanned incidents. • Improved developer, data, and ML team experience through self-service and standardisation. • Reduction in platform-related incidents, toil, or technical debt over time. • Positive feedback from engineering teams on platform usability and support. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Kayzen

Remote from India Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a Fullstack Engineer to join our Console team. 🙌 But wait, you have not heard of Kayzen before? 😃 Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface. The Team The Console team owns the user-facing applications and interfaces that power the Kayzen platform — from our self-serve campaign management dashboard and real-time reporting suite to internal tooling used by our managed service teams. We work closely with product managers, designers, backend engineers, and data teams to deliver seamless, high-performance experiences. We are responsible for some of the most impactful work at Kayzen, including: * “The Console” which is the face of Kayzen we are very proud of. * Complex features which surface a lot of backend infrastructure via console * Almost 100% uptime with very well planned & executed project management  Sounds interesting. Isn’t it? About the Role We are looking for a coding-first Fullstack Engineer who thrives on turning complex product requirements into high-performance UIs. You should be comfortable working across the stack, contributing to architecture discussions, and be an early adopter of AI-assisted engineering (e.g., Claude Code, Cursor, Copilot) in your daily coding workflow. This role is a strong individual contributor position with room to grow into deeper technical ownership over time. Responsibilities * Core responsibilities * Design, build, and maintain high-quality features across the Fullstack stack, from UI to API integration * Write clean, well-tested, production-ready code and actively participate in code reviews * Collaborate closely with Product, Design, QA, and Backend teams to deliver cohesive, user-centric features * Contribute to technical decisions around architecture, tooling, and best practices within the team * Take ownership of features end to end, from planning through deployment and monitoring * Hands-on AI Implementation * Integrate AI-powered coding agents and automated LLM-based testing into your daily development cycle * Contribute to building 'AI-First' UI patterns, working alongside the LLM Platform team on generative, prompt-driven interfaces * Stay current with emerging AI-assisted development tools and bring relevant ones back to the team * Project & Execution Management * Break down assigned product requirements into clear, actionable engineering tasks * Deliver work reliably within sprint commitments, flagging blockers or scope changes early * Balance new feature delivery with addressing technical debt in the codebase you work on Requirements FULLSTACK TECHNICAL EXCELLENCE (CORE FOCUS) * Minimum 5+ years of professional Fullstack development experience with modern JavaScript/TypeScript * Solid expertise in at least one major framework (React, Angular, or Vue) and its ecosystem * Strong understanding of HTML5, CSS3, responsive design, and cross-browser compatibility * Experience building data-heavy UIs, ideally including real-time data visualization * Good grasp of Fullstack performance optimization, including bundle size, rendering, lazy loading, and caching strategies * Experience with state management patterns (Redux, MobX, Zustand, or similar) * Working knowledge of Fullstack testing methodologies, unit, integration, and end-to-end (Jest, Cypress, Playwright, or similar) * Comfortable working with design systems and shared component libraries * Experience using AI-assisted development tools (e.g., Claude Code) to boost engineering productivity ENGINEERING MATURITY * Experience contributing to Fullstack architecture decisions on production applications * Solid understanding of APIs, RESTful services, GraphQL, and system design fundamentals * Ability to give and receive constructive feedback through code reviews * Great communication skills, able to explain technical decisions clearly to teammates and stakeholders STARTUP MINDSET * Bias for shipping and iteration, you deliver incrementally and learn from real users * Comfortable with ambiguity and rapid change in a fast-paced environment * Thinking in terms of leverage and reuse, not one-off solutions * Pragmatic about trade-offs between perfectionism and speed of delivery LESS ABOUT * Developers who prefer working in isolation on narrowly scoped tickets without engaging with the wider product context. We need someone who wants to understand the "why" behind the work and contribute ideas, not just execute tasks. NICE TO HAVE * Experience with Ruby on Rails * Familiarity with ad-tech, real-time bidding platforms, or high-traffic data products * Contributions to open-source Fullstack projects or community involvement * Experience building Fullstack interfaces for AI/ML-powered products (e.g., chatbots, recommendation engines, AI-generated content displays) * Familiarity with LLM APIs and prompt-driven UI patterns What do we offer? * Exceptional career growth and learning opportunity * A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market * A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain and many more countries * A flexible work-from-home arrangement * A 500-dollar home-office setup budget * A 1000-dollar annual learning and development budget