
Truecaller · Bangalore
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more effici...
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
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.
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.
Drive Architectural Vision & Execution
using Spark and Kafka to process massive datasets.
multi-layered data workflows using Apache Airflow.
production. Design the architecture that allows these models to serve real-time predictions and insights to downstream
services.
Lead Complex, Cross-Functional Initiatives
concrete, actionable technical roadmaps.
large-scale deployment and long-term maintenance.
data systems support the overall company strategy and maximize end-user value.
Elevate Engineering Standards & Team Performance
reliability, and internal tooling.
architecting workable solutions before they impact the business.
peer code reviews, mentor senior and junior engineers, and promote a pervasive culture of technical excellence.
Architecture & Tech Stack
Pub/Sub) to build high-throughput, low-latency pipelines handling AdTech-scale data (millions of events/sec).
Proficient in orchestrating complex DAGs and workflows using Apache Airflow (or Dagster / Prefect).
architectures that translate AI models into scalable, low-latency APIs for downstream services.
Complex Execution
large-scale deployment and maintenance.
plans for multiple teams.
Engineering Leadership
standards across the organization.
long-term technology choices.
(e.g., Redis, Cassandra).
and container orchestration (Docker, Kubernetes).
CI/CD pipeline
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:
pension scheme (NPS) tax saving option provided, creche allowance
efficiently.
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.
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.
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.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative AI tools/platforms/services for data. WHAT YOU’LL DO We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. RESPONSIBILITIES * Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success * Partner with our recruiting team to attract and hire top talent * Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency * Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders * Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data * Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems * Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion * Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions * A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework * An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues * Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience * Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases * Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs * Thrive with high autonomy and responsibility in an ambiguous environment * Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment PREFERRED QUALIFICATIONS * Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud - experience with all or some of these tools is a huge plus * Influencing open-source contributions is a huge plus * Experience creating and maintaining data marts / warehouses to power business reporting needs * Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams * Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions * Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. WHAT YOU'LL DO We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency • Develop strong subject matter expertise and manage the SLAs of data pipelines and full-stack web applications that support critical stakeholders • Collaborate with product managers and peers across the company to create and improve canonical datasets and data warehouses, use golden paths, and ensure Stripe employees and customers are using trustworthy data • Leverage AI, LLM, and Agents at scale to produce and analyze high-quality data on ambiguous problems • Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python, and many other big data technologies • Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion • Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS • 10+ years of engineering experience with 5+ years of hands-on experience building and operating data systems and pipelines, datasets and data warehouses, infrastructure, and leading small teams to deliver excellent solutions • A strong engineering background and passion for data • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark, Hadoop, Trino, etc.) • An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep-rooted data quality issues • Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience • Strong customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases • Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs • Thrive with high autonomy and responsibility in an ambiguous environment • Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment PREFERRED QUALIFICATIONS • Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud, and experience influencing open-source contributions • Experience creating and maintaining Data Marts and Data Warehouses to power business reporting needs • Experience working with Product or Go-to-Market (GTM—Sales and Marketing) teams • Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions • Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide stakeholders
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM The Premium Merchant Experiences team helps businesses using Stripe succeed by providing high-quality, contextual, and timely premium support options. Our Dublin-based team is a startup within Stripe, building a greenfield product – offering both automated, AI-driven support and improved access to technical experts across Stripe. In addition to building directly for Stripe's merchants, we are responsible for building robust internal tooling that empowers Stripe employees in support roles to deliver the best possible experience for our customers. WHAT YOU’LL DO As an early hire on the Premium Merchant Experiences team, your role more closely resembles that of a founding engineer at a startup within Stripe. As a Staff Engineer, you will have widespread impact by setting the technical strategy of the team, mentoring and growing senior engineers, and building a culture of technical excellence. As a technical leader within the team, you will both drive fast-paced, sustained product delivery while also upholding high standards for building reliable systems. Responsibilities: * Design, build, and operate production systems, with an emphasis on extensibility, reliability, and usability * Write and review code regularly, setting the pace and elevating standards for the team * Build high-quality end-to-end product experiences, demonstrating deep care for users' needs and serving as a steward of crafting great experiences * Collaborate with cross functional stakeholders - navigating various types of organizational complexity with the support of your own leadership team * Partner with Engineering Management, Product Manager and key leaders across the company to create and drive toward the longer term vision * Unblock the team to execute against both short-term and long-term roadmaps, making effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation * Improve engineering standards, tooling, and processes * Teach and mentor other engineers to become the next generation of leaders at Stripe WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 10+ years of professional backend or full-stack development experience, including actively writing and reviewing code * Experience successfully setting and executing on long-term technical strategy for a large product area * Ability to prioritize competing requirements and stakeholders to iteratively ship new product features * Proven track record of technical leadership, including meaningfully contributing to the growth of other engineers * Superb communication skills working with technical and non-technical stakeholders * User empathy and a customer-centric approach to problem solving and product development PREFERRED QUALIFICATIONS * Experience with full-stack development, particularly using the React framework and Ruby * Desire to learn and grow continuously as an engineer and ship impactful work