Technical Support Engineer (India)

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.

Bureau

ABOUT BUREAU Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Our platform is a single decision-making engine, powered by a 1 billion+ identity knowledge graph. Over 150 Banks, fintechs, retailers, and digital platforms use Bureau to verify identities faster and stop fraud earlier globally. Bureau has raised $50M+ from renowned Silicon Valley and global investors including Sorenson Capital and PayPal Ventures and is expanding rapidly from APAC to Americas, Europe, and beyond. WHY BUREAU? Bureau is building the infrastructure that makes digital identities and transactions safe and trustworthy for billions of people. The mission is big, the problems are complex, and the impact is real. We hire people who want that level of responsibility. People who move fast, build systems from scratch, and care deeply about turning strategy into execution. If you want predictability or narrow scope, this won't be your place. If you want to shape how a scaling global company operates—keep reading. ABOUT THE ROLE - INFORMATION SECURITY ENGINEER We are looking for a Security Engineer who can own both the hands-on technical security stack and our governance/compliance programs. What you’ll be doing In this role, you will: * Harden and monitor our cloud & container infrastructure (AWS/EKS, endpoints, network). * Run vulnerability management, security tooling and incident response. * Help maintain our ISMS and support audits (ISO 27001, SOC 2, RBI, DPDP, etc.). This is ideal for someone who doesn’t want to be only “checklist GRC” or only “pure blue-team”, but wants a blended role across security engineering + GRC.Key Responsibilities 1. Cloud & Infrastructure Security (Hands-on) * Work with DevOps to secure our AWS/EKS environment: * IAM hardening, security groups, VPC, KMS, S3, RDS, etc. * Review infra-as-code (Terraform/Helm) for security issues and misconfigurations. * Own or co-own key security tools: * Endpoint / EDR (e.g., CrowdStrike / SentinelOne), * Cloud security (CSPM / CNAPP, GuardDuty, Security Hub, WAF, etc.), * Container / runtime security where applicable. * Implement and maintain logging & monitoring for security events (CloudTrail, ALB/NLB logs, K8s logs, etc.), and integrate them with SIEM / alerting. 2. Vulnerability Management & Security Operations * Own the vulnerability management lifecycle: * Run periodic scans for cloud, endpoints, containers and apps. * Triage findings, prioritise based on risk, and drive closure with engineering. * Coordinate external pentests / bug bounties and track remediation. * Support incident response: * Help investigate alerts, gather evidence, and contribute to RCA and CAPA. * Maintain and update incident runbooks. 3. Governance, Risk & Compliance (ISMS, Audits, DPDP) * Maintain and enhance the Information Security Management System (ISMS): * Policies, procedures, SoA, risk register, control evidence and audit trails. * Support internal and external audits: ISO 27001, SOC 2, RBI/CERT-In, Data Protection. * Prepare and manage audit evidence, observations, closure reports and certification documentation. * Assist with risk assessments: * Maintain the risk register, risk treatment plans and residual risk reviews. * Conduct vendor security due diligence and maintain vendor security records (MSA, NDA, DPA, DPIA, etc.). * Support privacy & regulatory compliance operations (GDPR/DPDP basics: retention, consent, grievance logging). 4. Access, Asset & Control Assurance * Participate in and help automate access reviews, asset inventory checks, and configuration compliance checks. * Track control performance (vuln SLAs, access reviews, backup tests, etc.) and ensure gaps are documented and closed. * Maintain security awareness and training trackers (onboarding, annual refreshers, phishing simulations). What You’ll Bring * Bachelor’s degree in Computer Science, IT, Cybersecurity or related discipline. * ~4 years of experience in security engineering, cloud security, or GRC/compliance (any mix, but must be comfortable hands-on). * Good understanding of: * Security engineering fundamentals: Linux, networking, IAM, encryption, least privilege. * Cloud platforms (AWS preferred; GCP/Azure a plus) and their security services. * Core frameworks: ISO 27001, SOC 2, basic risk management and audit lifecycle. * Comfortable with: * Writing/debugging basic scripts (Bash/Python) for automation and data extraction. * Tools like Jira, Confluence, Excel/Sheets and at least one GRC / security platform (e.g., Scrut/Drata/Secureframe, etc.). * Strong documentation skills and ability to talk to both engineers and non-technical stakeholders. Preferred (Good to Have) / Willing to Learn * Cloud security certifications (e.g., AWS Security / AWS Cloud Practitioner). * ISO 27001:2022 Lead Auditor/Implementer, CompTIA Security+, ISC2 CC. * Experience with: * EDR/XDR tools, * CSPM/CNAPP (e.g., Wiz, Prisma, Defender for Cloud), * SIEM, WAF, runtime/container security (Falco, etc.). * Exposure to GDPR/DPDP or other data protection regimes. Who You Are * You enjoy both: * Getting your hands dirty in logs, configs and cloud consoles, and * Keeping things clean in policies, risk registers and audit trackers. * You’re structured and process-oriented, but still pragmatic and capable of shipping improvements. * You’re comfortable collaborating with DevOps, backend, data, HR and legal to get security actually implemented, not just written down. * You want to grow into either Security Engineering leadership (owning tools/architecture) or GRC leadership (owning audits and certifications) over the next few years. OUR CULTURE * We hire self-motivated people and get out of their way * We value performance, not hours worked * Speed, ownership, and impact matter most COMPENSATION * Competitive salary + potential equity * Health benefits, flexible PTO, learning budget

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.