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Job Title: Senior Java Developer - Experience: 4.5 + years
Roles and Responsibilities:
· Translate application storyboards and use cases into high-quality, efficient code.
· Design, develop, and maintain clean, reusable Java code.
· Take full ownership of modules, ensuring timely deployment to production.
· Optimize application performance, quality, and responsiveness.
· Identify and resolve bottlenecks, bugs, and technical issues.
· Maintain high standards of code quality, organization, and automation.
· Write well-structured, testable, and efficient code.
· Investigate new technologies and approaches, presenting them for architectural review.
· Participate in code reviews and provide constructive feedback to peers.
· Stay current with the latest technologies and trends.
Desired Candidate Profile:
· Strong proficiency in Core Java (OOP, Collections, Threads, Regular Expressions, Exception Handling).
· Solid understanding of object-oriented programming.
· Ability to write clean, readable Java code.
· Knowledge of scalable application design principles.
· Strong experience with Relational Databases, SQL, and ORM technologies (e.g., MySQL, Hibernate).
· Proficiency in software design and development using Java, J2EE, Spring Boot, Spring Security, and Hibernate.
· Experience with test-driven development.
· Familiarity with CI/CD processes for build and deployment.
Must-Have:
· Java 8/Java 11 experience.
· Expertise in the Spring Framework.
· Hands-on experience with relational databases (Oracle/MySQL/PostgreSQL/SQLServer).
· Proficiency in building scalable REST APIs (capable of handling 20k+ simultaneous users).
· Willingness to work with new technologies.
· Strong communication skills.
Nice to Have:
· Experience with React JS, and JavaScript framework.
· Microservices architecture knowledge.
· Familiarity with Redis, AWS S3, AWS Lambda, and NoSQL databases.
· CI/CD experience.
Brilworks will support your growth in these areas where necessary! :)
Opportunity
We are looking for a Product Marketer who’ll lead all our marketing activities from social media and digital campaigns to advertising and creative projects.
Product marketer responsibilities include developing plans to help establish our brand, allocating resources to different projects and setting short-term and long-term department goals. If you’re a skilled Marketing strategist, able to inspire your team members, we’d like to meet you.
Ultimately, you will run our Marketing department in ways that promote higher profitability and competitiveness.
Responsibilities
- Craft strategies for all Marketing teams, including Digital, Advertising, Communications and Creative
- Prepare and manage monthly, quarterly and annual budgets for the Marketing department
- Set, monitor and report on team goals
- Design branding, positioning and pricing strategies
- Ensure our brand message is strong and consistent across all channels and marketing efforts (like events, email campaigns, web pages and promotional material)
- Analyze consumer behavior and determine customer personas
- Identify opportunities to reach new market segments and expand market share
- Craft quarterly and annual hiring plans
- Monitor competition (acquisitions, pricing changes and new products and features)
- Coordinate sales and marketing efforts to boost brand awareness
- Participate in the quarterly and annual planning of company objectives
What you can expect in the next 12 months
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We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.
Tools familiarity: SQL, Python, Mix panel, Metabase, Google Analytics, Clever Tap, App Analytics
Responsibilities
- Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
- Metrics alignment across teams to make them actionable and promote accountability
- Data based frameworks for assessing and strengthening Product Market Fit
- Identify viable growth strategies through data and experimentation
- Experimentation for product optimisation and understanding user behaviour
- Structured approach towards deriving user insights, answer questions using data
- This person needs to closely work with Technical and Business teams to get this implemented.
Skills
- 4 to 6 years at a relevant role in data analytics in a Product Oriented company
- Highly organised, technically sound & good at communication
- Ability to handle & build for cross functional data requirements / interactions with teams
- Great with Python, SQL
- Can build, mentor a team
- Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE
Eligibility
BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges
Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.
We are more interested in what you CAN DO than your location, education, or experience levels.
Send us your code samples / GitHub profile / published articles if applicable.


Responsibilities
Design, implementation and delivery of solutions.
Solving new problems and address any issues regarding the architecture and performance.
Focused on understanding customer needs and anticipate the changing business and technology landscape.
Collaborate with teams from various verticals within and outside the company.
Qualifications
2-5 years of Software Engineering experience in Node.js and React.
Proven experience in architecting performant, complex application on web or mobile applications.
Knowledge of end to end Software development life cycle.
Ability to work individually or in teams and mentor new developers to the team.
Strong knowledge of computer science, algorithms and design patterns.
A degree in Computer Science or related field, or equivalent industry experience.

● Drive/Execute full stack Data driven Growth & marketing campaigns for our UPI business, focused on key metrics in terms of Strategy, Team management, Product Marketing, Growth management, and Revenue management.
●Should be responsible for driving the User Growth, Revenue Growth, Retention, and Engagement of the Platform on a day-to-day basis.
● Deploy successful marketing campaigns and take ownership right from ideation to implementation:
● Segment customer base on various transactional/ behavioral features & design effective & 'reach out' & programs for them in the form of these marketing campaigns.
● Manage end-to-end consumer lifecycle management for the business vertical.
● Responsible for driving the entire marketing funnel from Acquisition to Retention using various digital marketing channels.
● Monitor customer funnel & identify new levers of growth and apply them to the business
● Suggest new features/product innovations whenever necessary basis
understanding of consumer behaviour.
Superpowers/ Skills that will help you succeed in this role:
● Bachelors degree in engineering or related field from reputed colleges.
● Must be data driven with strong problem solving and
analytical skills.
● High degree of ownership in taking things to completion.
● Ability to multitask and work on diverse range of
requirements.
● Excellent communication skills with ability to handle complex
negotiations.
● Prior experience in e-commerce industry is a plus.

- Understanding complex backend code (spread across several microservices written as a combination of Node, PHP, MySQL and MongoDB)
- Building automated test suites (main focus on functional and integration tests) for the entire stack of microservices and integrating into the CI / CD pipeline.
- Maintaining a keen eye towards performance, security and scalability.
- Ensuring stellar product quality and operating with full ownership of release readiness across multiple products, including consistently increasing automation coverage.
- Analyzing and decomposing a software system and designing a complete system test strategy.
- Continuously streamlining and improving the testing life cycle to ensure test planning, execution, and reporting are effective, agile, and coordinated.
- Maintaining familiarity with QA tools and frameworks for automation (e.g. Mocha, Istanbul) and for Load and Performance testing (e.g. JMeter).
- Analyzing testing results to enhance test plans and scenarios (including metrics and benchmarks to gauge improvement)
- Ensuring Pro-active investigation / verification of production defects and continuous improvement of regression tests.
- Driving the team towards higher release velocity while keeping a high bar on product quality.
- Guiding the team by implementing best practices for logging, advanced monitoring, alerting and other necessary optimizations.
What you need to have:
- Engineer with a passion for Automation Testing having a minimum of 1 year experience with advanced Automation Testing.
- Should be able to write test cases and automate the testing process across PHP and JS stack.
- Should have automated tests in JavaScript
- Should have a keen eye to details for anticipating corner cases, bugs and continuously improve automation coverage without any expectation of guidance / supervision.
- Have the knack and motivation for quickly understanding complex backend code
- Good Knowledge and understanding of Provisioning (Terraform), CI / CD (Jenkins), NodeJS Profiling, Orchestration Tools (Docker Swarm, Kubernetes)
- Hands-on experience strongly preferred with Shell Scripting, various CI-CD industry standard tools, Docker, NGINX, Helm, Kubernetes.
About the role:
Associate Product Manager - Growth
As an Associate Product Manager at ForeignAdmits, you'll be responsible for driving the growth of one of the flagship products, owning the product's end-to-end acquisition/ activation/ conversion/ retention funnels. You'll identify users' needs and turn those insights into products that users love. You’ll be closely working with the PMs and CEO in driving the product vision.
Responsibilities:
- Working closely with the Backend Engineering & Front-end Engineering, Design, Operations, and Customer Experience teams to deliver world-class customer-obsessed products and features.
- Be the voice of the customer. Develop a deep understanding of our customers and build the best product user experiences on their behalf through market research, experimentation, user testing, and data analysis.
- Research and translate industry problems into solutions through the use of technology and data. Your solutions should create a measurable "impact" on the lives of consumers.
- Create detailed product requirement documents and user stories with an ability to imagine the user journeys - happy paths, unhappy paths, and edge cases
- Empathize with dozens of personas and use cases, and think user-first.
- Have a data-oriented approach and an eye for numbers, insights, and metrics.
- Define and analyze metrics that inform the success of products.
- Build user insights and recommendations from the data. Create user cohorts and funnels to understand user behavior.
- Ability to think creatively, deal with ambiguity, and manage fast-paced environments and changing priorities.
- And most essentially, a founder's mindset: is to own initiatives & deliver results.
Requirements:
- 0-1 year of relevant product management experience in consumer product organizations
- High energy and high ownership individual with a keen interest in building 0 to 1 systems that have large-scale real-world impact
- Good understanding of UX Design practices in the consumer internet space
- Ability to think granularly and are hungry to learn and evolve in all things.
- Bias for action and experience making things happen in a fast-paced, dynamic environment.
- Strong written and verbal communication skills with a knack for articulating customer challenges clearly.
- Analyze and synthesize data, including writing SQL
- Proficient with data analytics tools like Google Analytics, Mixpanel, Adobe Omniture, etc., or the equivalents.
Good to have:
- Bachelor's degree in Computer Science or related fields, or equivalent practical experience with a deep understanding of technology platforms
What do we value?
- High energy and high ownership
- Data-driven decision making
- Ability to constantly experiment.
- Hungry for learning and a bias for action.
- Clearly articulate the user needs and insights & translate them into recommendations.
What does ForeignAdmits bring to the table:
Apart from monetary benefits, we offer
- An informal and self-managed work culture.
- Freedom to experiment with new ideas and technologies.
- A highly motivating work environment where you learn exponentially and grow with the organization.
- An opportunity to create an impact at scale.
- Opportunity to be a part of team to see our next series of funding
Java_FullstackDeveloper_DGT II
Required Skills:
Desired Skills:
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DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.


