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Job Description : Role : Manager - DevOps We at Pine Labs are looking for those who share our core belief - Every Day is Game day. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services. Role Purpose : We are seeking a Manager DevOps who will lead and manage the organizations DevOps Infrastructure, Observability stack for applications, CI-CD Pipeline and support services. This role involves managing a team of DevOps engineers, architecting scalable infrastructure, and ensuring high availability and performance of our messaging and API management systems. This individual will oversee a team of IT professionals, ensure the seamless delivery of IT services, and implement strategies to align technology solutions with business objectives. The ideal candidate is a strategic thinker with strong technical expertise and proven leadership experience. Responsibilities we entrust you with : - Lead and mentor a team of DevOps Lead/Engineers in designing and maintaining scalable infrastructure. - Architect and manage Kafka clusters for high-throughput, low-latency data streaming. - Deploy, configure, and manage Kong API Gateway for secure and scalable API traffic management. - Design and implement CI/CD pipelines for microservices and infrastructure. - Automate infrastructure provisioning using tools like Terraform or Ansible. - Monitor system performance and ensure high availability and disaster recovery. - Collaborate with development, QA, and security teams to streamline deployments and enforce best practices. - Ensure compliance with security standards and implement DevSecOps practices. - Maintain documentation and provide training on Kafka and Kong usage and best practices. - Strong understanding of observability pillars : metrics, logs, traces, and events. - Hands-on experience with Prometheus for metrics collection and Grafana for dashboarding and visualization. - Proficiency in centralized logging solutions like ELK Stack (Elasticsearch, Logstash, Kibana), Fluentd, or Splunk. - Experience with distributed tracing tools such as Jaeger, Zipkin, or OpenTelemetry. - Ability to implement instrumentation in applications for custom metrics and traceability. - Skilled in setting up alerting and incident response workflows using tools like Alertmanager, PagerDuty, or Opsgenie. - Familiarity with SLOs, SLIs, and SLA definitions and monitoring for service reliability. - Experience with anomaly detection and root cause analysis (RCA) using observability data. - Knowledge of cloud-native monitoring tools (e.g., AWS CloudWatch, Azure Monitor, GCP Operations Suite). - Ability to build actionable dashboards and reports for technical and business stakeholders. - Understanding of security and compliance monitoring within observability frameworks. - Collaborative mindset to work with SREs, developers, and QA teams to define meaningful observability goals. - Prepare and manage the IT budget, ensuring alignment with organizational priorities. - Monitor expenditures and identify opportunities for cost savings without compromising quality. - Well-spoken with good communication skills, as lot of stakeholder management is needed. What matters in this role : Relevant work experience : - Bachelors or masters degree in computer science, Engineering, or related field. - 8+ years of experience in DevOps or related roles, with at least 5 years in a leadership position. - Strong hands-on experience with Apache Kafka (setup, tuning, monitoring, security). - Proven experience with Kong API Gateway (plugins, routing, authentication, rate limiting). - Proficiency in cloud platforms (AWS, Azure, or GCP). - Kafka certification or Kong Gateway certification. - Experience with service mesh technologies (e.g., Istio, Linkerd). - Knowledge of event-driven architecture and microservices patterns. - Experience with GitOps and Infrastructure as Code (IaC). - Experience with containerization and orchestration (Docker, Kubernetes). - Strong scripting skills (Bash, Python, etc.). - Hands on with monitoring tools (Prometheus, Grafana, Mimir, ELK Stack). Things you should be comfortable with : - Working from office : 5 days a week ( Sector 62, Noida) Pushing the boundaries : Have a big idea? See something that you feel we should do but havent done? We will hustle hard to make it happen. We encourage out of the box thinking, and if you bring that with you, we will make sure you get a bag that fits all the energy you bring along. What we Value in Our people : - You take the shot : You Decide Fast and You Deliver Right - You are the CEO of what you do : you show ownership and make things happen - You own tomorrow : by building solutions for the merchants and doing the right thing - You sign your work like an artist : You seek to learn and take pride in the work you do

Noida

Manager - DevOps 

Job Description BI Analyst- (Senior Engineer/ Lead) We at Pine Labs are looking for those who share our core belief - Every Day is Game day. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services. Role Purpose : We are looking for a Sr. BI Analyst / Lead who will be Supporting BI Analysts team in implementation of a new dashboard features and writing complex SQL queries to get the raw data ready for dashboarding usage. Preferred candidate should have analytics mindset to convert raw data into user friendly and dynamic dashboards along with developing Paginated Reports. This is an Individual Contributor position who can lead the team from Technical front. Responsibilities We Entrust You With : - Participates in peer reviews of Reports/ Dashboards created by Internal team members and ensure high standard as per defined reporting/dashboarding standards. - Designing Product thinking, Problem solving, Strategic Orientation - Must have expertise on Apache SuperSet BI Tools and SSRS. - Excellent skills for SSRS, SSIS and Expert in SQL Scripts. - Nice to have, Sound knowledge on AWS QuickSight, Powershell - Excellent SQL Scripting for complex queries - Proficient in both verbal and non-verbal communication - Knowledge in ETL Concept and tools e.g. Talend/SSIS - Knowledge in Query Optimization in SQL and Redshift - Nice to have, Sound knowledge on Data Warehousing and Data Lake Concepts - Understands requirement of a Dashboard/Report from Management stake holders and has analytical view to design dynamic dashboards using any BI Analytics tool - Required Skills : TSQL, ANSI SQL, PSQL, SSIS, SSRS, Apache Superset, AWS Redshift, QuickSight - Good to have skills : Data Lake concepts - Analytical Ability, Business and Merchant requirement understanding What Matters In This Role : - Apache Superset, AWS QuickSight, SSRS, SSIS for developing Dashboards is preferred - Excellent TSQL, ANSI SQL, Data Modeling and Querying from multiple Data Stores is mandatory. - Experience on Microsoft SSRS and SSIS is needed for developing Paginated Dashboards What We Value In Our People : - You take the shot : You Decide Fast and You Deliver Right - You are the CEO of what you do: you show ownership and make things happen - You own tomorrow : by building solutions for the merchants and doing the right thing - You sign your work like an artist: You seek to learn and take pride in the work you do

Pine Labs - Senior/Lead BI Analyst 

Job Description Data Engineer We at Pine Labs are looking for those who share our core belief - Every Day is Game day. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services. Role Purpose : We are looking for skilled Data Engineers with 4-12 years of experience to join our growing team. You will design, build, and optimize real-time and batch data pipelines, leveraging AWS cloud technologies and Apache Pinot to enable high-performance analytics for our business. This role is ideal for engineers who are passionate about working with large-scale data and real-time processing. Responsibilities we entrust you with : Data Pipeline Development : - Build and maintain robust ETL/ELT pipelines for batch and streaming data using tools like Apache Spark, Apache Flink, or AWS Glue. - Develop real-time ingestion pipelines into Apache Pinot using streaming platforms like Kafka or Kinesis. Real-Time Analytics : - Configure and optimize Apache Pinot clusters for sub-second query performance and high availability. - Design indexing strategies and schema structures to support real-time and historical data use cases. Cloud Infrastructure Management : - Work extensively with AWS services such as S3, Redshift, Kinesis, Lambda, DynamoDB, and CloudFormation to create scalable, cost-effective solutions. - Implement infrastructure as code (IaC) using tools like Terraform or AWS CDK. Performance Optimization : - Optimize data pipelines and queries to handle high throughput and large-scale data efficiently. - Monitor and tune Apache Pinot and AWS components to achieve peak performance. Data Governance & Security : - Ensure data integrity, security, and compliance with organizational and regulatory standards (e.g., GDPR, SOC2). - Implement data lineage, access controls, and auditing mechanisms. Collaboration : - Work closely with data scientists, analysts, and other engineers to translate business requirements into technical solutions. - Collaborate in an Agile environment, participating in sprints, standups, and retrospectives. Relevant work experience : 1. 4-12 years of hands-on experience in data engineering or related roles. 2. Proven expertise with AWS services and real-time analytics platforms like Apache Pinot or similar technologies (e.g., Druid, ClickHouse). 3. Proficiency in Python, Java, or Scala for data processing and pipeline development. 4. Strong SQL skills and experience with both relational and NoSQL databases. 5. Hands-on experience with streaming platforms such as Apache Kafka or AWS Kinesis. 6. Familiarity with big data tools like Apache Spark, Flink, or Airflow. 7. Strong problem-solving skills and a proactive approach to challenges. 8. Excellent communication and collaboration abilities in cross-functional teams. Preferred Qualifications : - Experience with data lakehouse architectures (e.g., Delta Lake, Iceberg). - Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). - Exposure to monitoring tools like Prometheus, Grafana, or CloudWatch. - Familiarity with data visualization tools like Tableau or Superset. What We Offer : - Competitive compensation based on experience. - Flexible work environment with opportunities for growth. - Work on cutting-edge technologies and projects in data engineering and analytics. What we Value in Our people : - You take the shot : You Decide Fast and You Deliver Right - You are the CEO of what you do: you show ownership and make things happen - You own tomorrow : by building solutions for the merchants and doing the right thing - You sign your work like an artist: You seek to learn and take pride in the work you do

Pine Labs - Data Engineer 

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