Success Pact

Kognitos is a cutting-edge automation platform that combines the power of Generative AI and Natural

Language Processing (NLP) to provide a conversational and intuitive experience for business users. As a

fully serverless, SaaS automation platform, Kognitos enables users to build, manage, and execute

automations in natural language, with the ability to process and understand domain-specific language.

Kognitos provides a detailed auditable view of its runs, allowing users to gain insights into why an action

happened or what might have gone wrong in case of an exceptional situation. Additionally, Kognitos's

conversational exception handling, powered by Generative AI, allows for quick and easy resolution of

unexpected system errors or business exceptions.

Responsibilities:

- Develop and maintain the backend infrastructure for our applications using Python and AWS Serverless

technologies.

- Collaborate with cross-functional teams to design and implement scalable and robust systems, including

microservices and cloud-based architectures.

- Ensure the reliability, scalability, and performance of the backend systems through monitoring and

optimization.

- Create and maintain database schema and queries to support the application features.

- Write unit and integration tests for the backend code and ensure code quality through code reviews.

- Continuously improve the software development process by incorporating best practices and modern

software development methodologies, such as Agile, DevOps, and CI/CD.

- Investigate and troubleshoot production issues and provide timely solutions to minimize downtime and

ensure smooth operations.

- Participate in architectural discussions and contribute to the development of technical solutions and best

practices.

- Stay up to date with the latest technologies and trends in software development and recommend

improvements to the technology stack to increase efficiency and scalability.

- Work in a fast-paced, collaborative environment with a focus on delivering high-quality software that

meets customer needs.

Required Experience/Skills:

- B.S. or higher degree in Computer Science/Engineering or similar field or equivalent work experience

- 4-20 years of industry experience (or equivalent)

- Proficient in Python programming language

- Experience with modern software development practices and methodologies, including Agile, DevOps,

and Continuous Integration/Continuous Delivery (CI/CD).

- Experience with large-scale distributed systems, microservices, and cloud-based architectures.

- Strong understanding of software design patterns, algorithms, data structures, and database technologies.

- A natural problem solver, with the ability to identify problems and lead the development of a solution.

 3-5 years of experience in DevOps, systems administration, or software engineering roles.

 B. Tech. in computer science or related field from top tier engineering colleges.

 Strong technical skills in software development, systems administration, and cloud infrastructure management.

 Experience with infrastructure-as-code tools such as Terra form or Cloud Formation.

 Experience with containerization technologies such as Dockers and Kubernetes.

 Experience with cloud providers such as AWS or Azure.

 Experience with scripting languages such as Bash or Python.

 Strong problem-solving and analytical skills.

 Strong communication and collaboration skills

Responsibilities :

·      You will manage a team of backend engineers to deliver a valuable and delightful product for our users.

·      You will be responsible for liaising with external stakeholders such as product, acquisition and retention teams to come up with a charter for a certain vertical(game), and then execute on it. You will be responsible for the evolution of an already bleeding-edge tech stack and keep it current.

·      You will be responsible for setting the correct set of processes in engineering that help you get very high efficiency in the organisation.

·      You will be required to make decisions quickly, and work under strict timelines.

·      You would need to demonstrate an ability to stay objective while creating an appropriate decision-making framework for the entire organisation.

·      You will believe in measure-ability of the success of the tech stack and processes adopted.

Requirements:

·      B.E/MS in Computer Science or equivalent

·      10+ years or more of progressive software technology experience with at least 3 years in management role.

·      Completely hands on with technology and architecture. Start-up experience is a huge plus.

·      Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies

·      Demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership

·      Provide thought leadership to setup and manage processes.

·      Ability to work in a very agile, fast-paced environment with changing requirements.

·      Ability to work efficiently in an entrepreneurial and in a start-up environment

·      A good understanding of Java/Spring/Akka, Javascript or Golang.

·      Hands on knowledge of some of these technologies - MySQL, NodeJS, message brokers such as Kafka/RabbitMQ, NoSQL datastore such as Mongo, Cassandra, Arango, distributed caches such as Redis/memcached, container technology such as Docker and Kubernetes etc. is a big plus.

·      Great proficiency in distributed systems design, with an ability to make the right trade-offs for creating future-proof solutions.

·      Ability to build a product end-to-end with the help of multiple engineering teams.

Responsibilities:

• Participation in the requirements analysis, design, development and testing of applications.
• The candidate is expected to write code himself/herself.
• The candidate is expected to write high level code, code review, unit testing and deployment.
• Practical application of design principles with a focus on the user experience, usability, template designs, cross browser issues and client server concepts.
• Contributes to the development of project estimates, scheduling, and deliverables.
• Works closely with QA team to determine testing requirements to ensure full coverage and best quality of product.
• There is also the opportunity to mentor and guide junior team members in excelling their jobs.

Requirements:

• BE/B. Tech. Computer Science or MCA from a reputed University.
• 3.5 - 6.5 Years of experience in software development, with emphasis on JAVA/J2EE Server side programming.
• Hands on experience in Core Java, Multithreading, RMI, Socket programing, JDBC, NIO, webservices and Design patterns.
• Should have Knowledge of distributed system, distributed caching, messaging frameworks ESB etc.
• Knowledge of Linux operating system and PostgreSQL/MySQL/MongoDB/Cassandra database is essential.
• Additionally, knowledge of HBase, Hadoop and Hive are desirable.
• Familiarity with message queue systems and AMQP and Kafka is desirable.
• Should have experience as a participant in Agile methodologies.
• Should have excellent written and verbal communication skills and presentation skills.

• 2-7 years of experience in Mobile application development domain
• A minimum 2 years of React native production level dev experience
• At least 2 React native published apps
• A firm grasp of the JavaScript language and its nuances, including ES6+ syntax
• An expert level knowledge of React Native, Redux, Rx & related stack
• An excellent knowledge of Tools
• Some native Android & iOS development experience (preferable)

As part of the Mobile SDK Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build.
• Work with A players (some of the best talents in the country), and expedite your learning curve and career growth.
• Make in India and build for the world at a scale of 900M+ 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.
• Work with the customer success team to enable MoEngage customers to adopt Insights-led engagement in different industry sectors like e-Commerce, FinTech, OTT, Social, entertainment, travel, telco, food-tech etc.
• Explore the latest in topics like Mobile development, SDK, iOS, tvOS, various mobile hybrid frameworks and share with the team. More importantly, have fun while you work on scaling MoEngage.

Skills Required

• 6+ years of experience with iOS, Swift, ObjC, Xcode and Cocoa.
• Working knowledge of architecture principles, code organization, and system design.
• Informed and up to date with iOS SDK and ecosystem.
• In-depth knowledge and understanding of the iOS framework:
• Memory Management
• Caching and Persistent data storage
• Multithreading concepts
• Rest APIs Implementation
• Dependency Managers
• Understands the internals of the mobile builds and distribution processes.
• Great communication skills and an ability to work within a team and with cross-functional teams.
• Experience with code reviews, releasing and maintaining mobile applications/SDKs.

Good to Have:

• Knowledge of other cross-platform frameworks i.e, Flutter, React-Native, Cordova, Unity.
• Experience in working and shipping SDKs/plugins.

We are seeking a Product Designer with a passion for finding solutions that allow customers to intuitively use our products. The ideal candidate will be skilled at each stage of the design process but always focused on the needs of the customer. You will work with other designers and cross-functional team members and will rely heavily on both qualitative and quantitative data to make informed decisions.

Responsibilities:

• By partnering with cross-functional teams and customers, you will turn your insights into delightful products in a creative environment that requires proven leadership skills and the ability to execute a creative vision.
• Set design requirements based on information from internal teams and user research.
• Identify new product improvement opportunities.
• Analyze how a new product satisfies market needs and consumer preferences.
• Stay up to date on current industry trends and market conditions.
• Coordinate with other design team members to ensure consistent and accurate communication.
• Modify and revise existing designs to meet changing customer preferences.
• Work closely with product engineers to suggest improvements for products and processes.
• Present product design ideas to cross-functional teams and senior leadership.

Requirements:

• Proven experience in all phases of the design process including user research, copywriting, wireframing, prototyping, visual design, interaction design, and usability testing.
• An intuitive eye for customer needs beyond the obvious.
• Excellent attention to detail.
• Ability to collaborate with cross-functional team members.
• Ability to collect and interpret both qualitative and quantitative feedback.
• A well-rounded portfolio of client work, demonstrating a strong understanding of client objectives.
• Ability to effectively communicate and persuade around design concepts.
• Passion for design; not satisfied with the status quo and always thinking of ways to improve.
• Creative problem-solving skills.
• Dynamic, creative personality, effective at engaging and influencing a variety of audiences.
• Provide assistance to product engineers when needed.
• Recommend new tools and technologies by staying abreast of the latest trends and techniques.
• From good product based background.
• Knowledge of FIGMA is must.

• 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
• Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
• Strong problem solving skills and the ability to articulate really well.
• Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
• Strong working knowledge of python ML stack is very important here.
• Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
• Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

1. GBM
2. XgBoost
3. Random Forest
4. Neural Net
5. Logistic Regression