Product Marketing Manager

Strong HR Generalist profiles

Mandatory (Experience 1) – Must have 1+ years of relevant experience as an HR Generalist / HR Executive / HR Operations role

Mandatory (Experience 2) – Must have hands-on experience in end-to-end recruitment, including job postings, resume screening, interview coordination, and reference checks

Mandatory (Experience 3) – Must have practical exposure to employee onboarding and offboarding processes, documentation, and employee lifecycle management

Mandatory (Experience 4) – Experience in day-to-day HR operations, maintaining employee records, HR databases, and coordination with internal stakeholders.

Mandatory (Tools) – Must be proficient in MS Office and have working experience with ATS and HRIS systems

Mandatory (Soft Skills) – Strong interpersonal, communication, organizational, and multitasking skills with high attention to detail

Mandatory (Company) - Product companies

Strong performance marketer profile

Mandatory (Experience 1): Must have 4+ years of experience in performance marketing

Mandatory (Team Lead): Must have atleast 1+ years of experience in a managerial role

Mandatory (Tech Skills): Must have strong hands-on expertise in any of Google Ads, Meta Ads, LinkedIn Ads

Mandatory (Tech Skills): Must have proven experience managing large monthly ad budgets

Mandatory (Tech Skills): Must have an understanding of attribution models, funnels, and CRM-based tracking

Mandatory (Tech Skills): Must be proficient in advanced Excel/Google Sheets

Mandatory(Company): Product companies (Fintech, Startups preferred)

Work Mode: WFO

Office Location: Indiranagar, Bangalore

Salary: up to 30 LPA

Key Responsibilities: 

•  Lead the UI team in designing and developing scalable, responsive, and performant user interface components. 
• Define and enforce UI coding standards, best practices, and guidelines. 
• Collaborate with UX designers to translate wireframes and prototypes into high-quality code. 
• Work closely with product managers to understand requirements and translate them into technical solutions. 
• Mentor and coach UI developers, providing guidance and support on technical challenges. 
• Conduct code reviews to ensure code quality, performance, and adherence to design principles. 
• Stay updated with the latest UI trends, technologies, and best practices. 
• Drive innovation and continuous improvement within the UI development process. 

Required Skills:

• Hands-on experience with Databricks, PySpark
• Proficiency in SQL, Python, and Spark.
• Understanding of data warehousing concepts and data modeling.
• Experience with CI/CD pipelines and version control (e.g., Git).
• Fundamental knowledge of any cloud services, preferably Azure or GCP.

Good to Have:

• Bigquery
• Experience with performance tuning and data governance.

Skills Required:

• Must-Have: Java, Spring/spring-boot, Data structure, Algorithm
• Any 2 (Must) out of the below-mentioned list : 

a.     JPA/Hibernate

b.     Messaging queue/Kafka/SQS/distributed message/SNS/JMS

c.     NoSQL/Aerospike/Reddis/Cassandra

d.     Microservices

Roles and Responsibilities:

• Technical design, implementation, deployment, and support.
• Partner with Business Analysts to review and implement business requirements.
• Perform development and unit testing, working closely with Business.
• Mentors and oversees the development of resources, including reviewing designs and performing code reviews.
• Ensure designs are in compliance with specifications
• Contribute to all phases of the development lifecycle
• Developing high-volume, low-latency applications for mission-critical systems and delivering high availability and performance
• Should have experience of working on Core Java/J2EE & OOPS concept
• Should be well versed with Spring/Struts & Apache Camel (OSGI Framework)
• Should have a good understanding of Hibernate and Other ORMs
• Should have an understanding of working on Web Service (SOAP/REST) and Maven
• Build tools such as Jenkins
• Caching Technique(Radis, Hazlecast, Aerospike)
• Database Knowledge - Oracle, MySQL

Roles and Responsibilities

• Strong proficiency in Java and building scalable enterprise applications
• Can think of architectural design at scale
• Love solving complex and challenging problems
• Have good knowledge of design and architectural patterns
• Thrive to implement Industry’s best practices and coding standards
• High obsession for Quality and Performance
• Good knowledge on performance optimization, SQL tuning, caching techniques
• Like to collaborate with people, share knowledge, learn from others and mentor juniors

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.