


About CONCERTO.AI
About
Concerto AI is a global Enterprise AI company founded by a team of people with deep enterprise knowledge and expertize in AI technologies. Our products incorporate the state-of-the-art AI technologies such as fact extraction from unstructured data, deep QA, dialog management, behavioral modeling, personalization and recommendation.
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Skills Required:
- Experience of more than 4 to 6 years in software development.
- Very Strong Experience in Core Java.
- Excellent Java Programming skills Experience in Data Structures, Algorithms and Design Patterns.
- Strong in Problem solving, Analytical skill and logical thinking.
- Skill to be trained: java, spring, mango db, cassandra.
- Strong experience in Spring Boot, Restful API
- Looking for shorter notice period candidates only.

- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee,BLE ,LoRa, Modbus)
- Must be a good team player.
- Strong Communication Skills
Job Description:
Excellent Java development skills using J2EE, J2SE, Servlets, JSP, JDBC, Java, Spring, Springboot, Hibernate, Microservices, Webservices, Extensive experience designing, developing RESTful APIs, coding experience with either Java/J2EE/Spring, Good SQL knowledge
Required experience in Core Java, Spring, Springboot, Hibernate, Microservices, rest services
Able to understand SDLC process, Extensive experience designing and, developing RESTful APIs, Extensive coding experience with either Java/J2EE/Spring
Qualification Any Graduate
We are looking for a Developer who is proficient with Node and has at least 1-3 years of relevant experience. Your primary role will be on developing microservices, while ensuring good coding practices and architecture. You will have end to end ownership of the services you develop, to ensure it is robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, and quality product is important.
Roles and Responsibilities
- Integrating and maintaining Node micro services
- Proficient in RESTful APIs and API communications, especially to consume data from and/or push data into MongoDB for Web and mobile applications
- Proficient on modeling applications on NOSQL databases(preferably MongoDB)
Desired Candidate Profile
- Strong coding experience in Node JS.
- Should have experience with microservice architecture
- Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
Nice to have:
- Some experience with queues like like Redis,SQS,etc
- Experience with cloud solutions like Lambda, Docker etc
- Experience in DevOps and related practices to improve development lifecycle, continuous delivery with high quality is an advantage.
- Deploy server/related components to staging, live environments.
- Some exposure to React Frontend implementation, deeper JS skills


1. Django full stack development experience more than 4 - 6 years (Python, Django, PostgreSQL)
2. Experience of front-end development (Angular, Bootstrap, CSS, jQuery)
3. Bug fixing in Django/Python/Web protocol
4. Having experience in development of heavy traffic web solution
5. Experience in working with LMS tools customization and integration will be added advantage Education Bachelor's degree in Computer Science or related field or equivalent degree

Requires a bachelor's degree in area of specialty and experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on experience and judgment to plan and accomplish goals. Performs a variety of tasks. A degree of creativity and latitude is required. Typically reports to a supervisor or manager.
Designs, develops, and implements web-based Java applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.
Additional Job Details:
Strong in Java, Spring, Spring Boot, REST and developing MicroServices.
Knowledge or experience , Cassandra preferred
Knowledge or experience on Kafka
Good to have but not must
Good to know:
Reporting tools like Splunk/Grafana
Protobuf
Python/Ruby

About MoEngage
MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.
In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.
Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.
As part of the Engineering team at MoEngage, here are some things you can expect:
- Take ownership and be responsible for what you build - no micro management
- Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
- Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
- Learn together from different teams on how they scale to millions of users and billions of messages.
- Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team
and more importantly have fun while you work on scaling MoEngage.
About Push team,
Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications
- Scaling campaign sending system to ensure industry leading delivery times (40 Million notifications under 2 minutes)
- Rich campaign content delivery and templating support
- Build and develop features to have appealing and consistent experiences across channels which touch 200+ customers and 200+ million users!
Skill Requirements
- Proven experience in handling large infrastructure and distributed systems
- Familiarity with Python related technologies and frameworks like Django or Pyramid.
- Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
- Familiarity with task queue frameworks like Celery or Pika is a plus.
- Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce




