
Requirements:
- 3 -7 years of software development experience.
- Good grasp on programming fundamentals including OOP, Design Patterns and Data Structures.
- Excellent analytical, logical and problem-solving skills.
- Software Development Engineer.
- Good understanding of complexities involved in designing/developing large scale systems.
- Strong system design skills.
- Experience in technologies like Elasticsearch, Redis, Kafka etc.
- Good knowledge of relational and NoSQL databases.
- Familiarity with common machine learning algorithms. In-depth knowledge is a plus.
- Experience of working with big data technologies like Hadoop, Spark, Hive is a big plus.
- Ability to understand business requirements and take ownership of the work.
- Exhibit passion and enthusiasm for building and maintaining large scale platforms.

About Media.net
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Media.net is one of the Top 5 largest ad technology companies that provides advertising solutions to the largest and best know publishers (New York Times, Forbes, MSN, etc...) worldwide.
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Role: Senior Backend Developer
Exp: 4 - 7 Years
CTC: up to 22 LPA
Key Responsibilities
- Design, develop, and maintain scalable applications using Java (Spring Boot) and Python (Flask).
- Build RESTful APIs and microservices following best practices.
- Implement event-driven architecture leveraging NATS messaging server.
- Deploy, manage, and optimize applications in Kubernetes and containerized environments.
- Develop and manage CI/CD pipelines, ensuring smooth deployment and delivery.
- Collaborate with cross-functional teams to deliver high-quality solutions.
- Write clean, maintainable, and well-documented code.
- Participate in code reviews and contribute to architectural decisions.
- Troubleshoot, debug, and optimize application performance.
We're seeking an AI/ML Engineer to join our team-
As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.
Responsibilities
- Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
- AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
- Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
- Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
- Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
- Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
- Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
- Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
- Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference
Requirements
- Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
- Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
- Proficiency in programming languages commonly used for AI/ML. Preferably Python
- Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
- Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
- Strong understanding of machine learning algorithms, statistics, and data structures
- Experience with data preprocessing, data wrangling, and feature engineering
- Knowledge of deep learning architectures, neural networks, and transfer learning
- Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
- Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
- Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
- Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders
What you will be doing
- Building and maintaining Java micro services.
- Develop new features and improve existing features of the application.
- Coding, Implementing, Unit Testing and Documenting Java based services.
- Design, build, and maintain efficient, reusable, and reliable Java code.
- Code reviews and ensuring adherence to software development standards.
- Contribute to team and organizational improvements in process and infrastructure.
- Participating in requirements gathering and functional specification activities.
- Resolving and helping to mitigate production issues.
What you need to be successful
- Has proven himself as a solid individual contributor and has some initial management ability
- Understands the culture and upholds it
- Well respected with the team
- Looking to grow more as a manager than as an engineer
- Split time b/w hands-on technical work and people management of a small team
- Be a role model for the people in your team
- Responsible for team mentorship, technical planning, resource allocation & project delivery
- Build solid working relationships with counterparts outside engineering
- If we shortlist you for a lead role, then you'll have to mentor SDE-1 towards their SDE-2 journey.
- Progress up to manager in 2-3 years
- Strong Data Structure and Algorithms
- Experience of building micro services architectures, developing RESTful services,continuous integration, unit and integration testing.
- Proficient with SpringBoot, Hibernate, JUnit and other Java frameworks apart from RDBMS and NoSQL databases - PostgreSQL, MongoDB
- Gauge or other BDD frameworks and experience in Fintech would be preferred.
Stable Money presents a great opportunity to be a part of the founding team and participate in the 0 to 1 journey If you have at least 6 years of experience and you're someone who's all about distributed architectures, system design wizardry, and making Go or Java dance to your tune, read on!
What We’re Looking For:
Architecting Marvels: Designing and implementing scalable, resilient distributed systems that make our platform sing.
Coding Ninjutsu: Crafting elegant, efficient code in Go and/or Java that runs like clockwork.
Keeping Watch: Hands-on with monitoring and troubleshooting using open-source Observability stack—think Loki, Grafana, and all things metrics.
Cloud Whisperer: Leveraging core AWS services to build and maintain robust infrastructure that never sleeps.
Pipeline Maestro: Setting up and optimising CI/CD pipelines to keep our deployment game strong.
Mentoring Mastery: Guiding and mentoring junior engineers, sharing your wisdom and helping them grow into future stars.
Bonus Points:
Startup Savvy: Thrived in the fast-paced, dynamic environment of a startup.
Fintech Finesse: Familiarity with the unique challenges and regulations of the fintech industry.
If you're excited about joining a dynamic team where you can architect, code, mentor, and innovate, send us your resume! Let's chat about how you can help us revolutionize the fintech space. 🚀
Java Developer/Software Developer
Experience: 3 - 7 years
Qualification: MCA/B.Tech
Vacancy: 10
Roles and Responsibilities
- Contribute to all phases of the development lifecycle
- Write well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
- Skill Set: Springboot Framework, Java
Note – Only candidate ready to join immediately can apply.
Role- Software Development Engineer-2
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
- You write high quality, maintainable, and robust code, often in Java or C++ or C#
- You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
- You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
- Roles & Responsibilities
- You solve problems at their root, stepping back to understand the broader context.
- You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
- You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
- You recognize and use design patterns to solve business problems.
- You understand how operating systems work, perform and scale.
- You continually align your work with Amazon’s business objectives and seek to deliver business value.
- You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
- You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
- You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
- Bachelors or Masters in Computer Science or relevant technical field.
- Experience in software development and full product life-cycle.
- Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
- Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
- Proficiency in SQL and data modeling.
About Amazon.com
“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos
Amazon.com – a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.
Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices. Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, CloudFront and SimpleDB, that powers Amazon.com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.
We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.
- Mandatory skills: Spring boot, Hibernate, Microservice
- Strong Java skills including Java 8 features
- Good understanding of Microservices-based architecture and the related ecosystem
- Exposure to MS SQL Server, Sybase etc. and NoSQL databases like MongoDB is also preferred.
- Great OO skills, including strong design patterns knowledge
- Strong knowledge of software best practices, like Test-Driven Development (TDD) and
- Continuous Integration (CI)
- Strong Knowledge of Data Structures & Algorithms
- Experience in working with data-driven RESTful APIs using web frameworks like SpringBoot,etc.
- Should be able to do data modeling
- Good understanding of ORMs like Hibernate, JPA, etc.
- Strong debugging skills
- Familiarity with architectural/ design patterns
- Advanced knowledge of Agile methodology.
Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:
- Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
- Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
- Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
- Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
- Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.
What You’ll Do
- Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
- Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.
- Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.
What You’ll Need
- 7+ years experience in building large scale products, distributed systems in a high caliber environment.
- Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
- Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
- Platform Engineering: Solid understanding of distributed systems and operating systems fundamentals such as concurrency, multithreading, file systems, locking etc.
- Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
- A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
- Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.










