4 Tidb Jobs

We are seeking individuals who can offer informed and unique perspectives, enjoy collaborating with cross-functional teams, and are continuously pushing boundaries to create reliable and scalable solutions and enhance user experiences. Your main responsibilities will include analyzing the current technologies utilized within the company, devising monitoring and notification tools to enhance observability and visibility. You will be tasked with ensuring system stability by proactively identifying failure scenarios and implementing solutions to reduce MTTR. Developing solutions to boost system performance with a strong emphasis on high availability, scalability, and resilience will be a key focus. You will also integrate telemetry and alerting platforms to monitor and enhance system reliability. It is essential to adhere to industry best practices for system development, configuration management, and deployment. Additionally, you will play a crucial role in facilitating seamless information flow between teams by documenting acquired knowledge. Staying current with modern technologies and trends will enable you to advocate for their incorporation into products if they bring value. In incident management, you will be involved in troubleshooting production issues, conducting root cause analysis (RCA), and actively sharing insights to enhance system reliability and internal knowledge. The ideal candidate should have experience in troubleshooting and optimizing high-performance microservices architectures running on Kubernetes and AWS in highly available production environments. A minimum of 5 years of experience in software development using languages such as Python, Java, Go, etc., with a strong foundation in data structures, algorithms, problem-solving, and complexity analysis is required. During the SRE selection process, a coding challenge will be presented. You should possess a curious and proactive nature in identifying performance bottlenecks, scalability issues, and resilience problem areas and be adept at resolving them. Familiarity with observability tools and data collection is essential. Knowledge of databases like RDS, NoSQL, distributed TiDB, etc., is preferred. Strong communication skills, a collaborative approach, and a proactive attitude to deliver results are highly valued. Embracing challenges and seeing them through to completion is a key attribute. Preferred qualifications include expertise in container image management and optimization, experience in large distributed system architecture and capacity planning, understanding of Infrastructure as Code (IaC), automation tools like Terraform, CloudFormation, etc., background in SRE/DevOps concepts and implementation, proficiency in managing monitoring tools such as CloudWatch, VictoriaMetrics, Prometheus, and reporting with Snowflake and Sigma. In-depth knowledge of web technologies like CloudFront, Nginx, etc., and experience in designing, implementing, or maintaining disaster recovery strategies and multi-region architecture for high availability, resilience, and business continuity across critical systems are advantageous. Proficiency in Japanese and English languages is a plus, although language skills are not mandatory as we have professional translators available. **Working Conditions** **Employment Status:** Full Time **Office Location:** Gurugram (WeWork) The development center requires your presence at the Gurugram office to help establish a strong core team.,

As a seasoned data engineering professional with 10+ years of experience, you will lead and mentor a team of data engineers to ensure high performance and career growth. Your primary responsibility will be to architect and optimize scalable data infrastructure, guaranteeing high availability and reliability. Additionally, you will drive the development and implementation of data governance frameworks and best practices, collaborating closely with cross-functional teams to define and execute a data roadmap. Your expertise in backend development using languages like Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS will be crucial. Proficiency in SQL, Python, and Scala for data processing and analytics is a must. In-depth knowledge of cloud platforms such as AWS, GCP, or Azure is required, along with hands-on experience in big data technologies like Spark, Hadoop, Kafka, and distributed computing frameworks. You will be responsible for ensuring data security, compliance, and quality across all data platforms while optimizing data processing workflows for performance and cost efficiency. A strong foundation in High-Level Design (HLD) and Low-Level Design (LLD), as well as design patterns, preferably using Spring Boot or Google Guice, is necessary. Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery will be beneficial. Your role will also involve working with NoSQL databases such as Redis, Cassandra, MongoDB, and TiDB, as well as familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. Proven ability to drive technical strategy aligned with business objectives, strong leadership, communication, and stakeholder management skills are essential for this position. Candidates from Tier 1 colleges/universities with a background in product startups and experience in implementing Data Engineering systems from an early stage in the company are preferred. Additionally, experience in machine learning infrastructure or MLOps, exposure to real-time data processing and analytics, and interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture will be advantageous. Prior experience in a SaaS or high-growth tech company will be a plus. If you are a highly skilled data engineer with a passion for innovation and technical excellence, we invite you to apply for this challenging and rewarding opportunity.,

We are looking for individuals who share our core belief that Every Day is Game day. At Pine Labs, we aim to enrich the world through the power of digital commerce and financial services by bringing our best selves to work each day. As a Senior Database Leader, you will be responsible for leading our Database Engineering and Analytics teams. Your role will involve a deep technical understanding of database architectures, managing production databases, and optimizing database environments on managed cloud platforms to enable highly available and scalable data solutions. Your responsibilities will include leading and managing the Database Engineering and Analytics teams to ensure optimal performance and availability of all database environments. You will oversee the architecture and operation of production databases, manage various databases such as SQL Server, Postgres, and MongoDB, and deploy highly available database solutions with redundancy for critical business systems. Additionally, you will collaborate with cross-functional teams on data analytics initiatives, supporting machine learning projects and analytical workloads while leveraging cutting-edge technology for best-in-class data solutions for our customers. To excel in this role, you should have a minimum of 15-20 years of industry experience, including at least 5 years of direct experience in managing database engineering teams, data lakes, and analytical workloads. You should possess expertise in managing various databases, setting up highly available database architectures, and working with cloud-based database setups on platforms like AWS, Azure, or GCP. Additionally, experience in Fintech, knowledge of reporting solutions, strong leadership skills, problem-solving abilities, and excellent communication skills are essential for success in this role. At Pine Labs, we value individuals who make decisions fast, take ownership of their work, build solutions for merchants, seek continuous learning, and pride themselves in the work they do.,

You are looking for a Senior Data Architect to join the team at Wingify in Delhi. As a Senior Data Architect, you will be responsible for leading and mentoring a team of data engineers, optimizing scalable data infrastructure, driving data governance frameworks, collaborating with cross-functional teams, and ensuring data security, compliance, and quality. Your role will involve optimizing data processing workflows, fostering a culture of innovation and technical excellence, and aligning technical strategy with business objectives. To be successful in this role, you should have at least 10 years of experience in software/data engineering, with a minimum of 3 years in a leadership position. You should possess expertise in backend development using programming languages like Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. Proficiency in SQL, Python, and Scala for data processing and analytics is essential, along with a strong understanding of cloud platforms such as AWS, GCP, or Azure and their data services. Additionally, you should have experience with big data technologies like Spark, Hadoop, Kafka, and distributed computing frameworks, as well as hands-on experience with data warehousing solutions like Snowflake, Redshift, or BigQuery. Deep knowledge of data governance, security, and compliance, along with familiarity with NoSQL databases and automation/DevOps tools, is required. Strong leadership, communication, and stakeholder management skills are crucial for this role. Preferred qualifications include experience in machine learning infrastructure or MLOps, exposure to real-time data processing and analytics, and interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture. Prior experience in a SaaS or high-growth tech company would be advantageous. Please note that candidates must have a minimum of 10 years of experience to be eligible for this role. Graduation from Tier - 1 colleges, such as IIT, is preferred. Candidates from B2B Product Companies with High data-traffic are encouraged to apply, while those who do not meet these criteria are kindly requested not to apply.,