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Role: Manual Testing
Experience: 2.5- 4 yrs
Notice Period: Immediate Joiners
Location: Hyderabad (WFO)
.NET
Angular (2+)About the Role
Build scalable web apps with Angular frontends and .NET backends running on AWS Serverless (Lambda, API Gateway). You’ll own features end-to-end across UI, APIs, data, and cloud.
Key Responsibilities
- Develop Angular SPAs (routing, forms, state, observables) integrated with REST APIs.
- Design and implement .NET/.NET Core Web APIs, authentication/authorization (JWT/OAuth).
- Build serverless services with AWS Lambda, API Gateway, SQS/SNS, DynamoDB/RDS, S3, CloudWatch.
- Ensure reliability, security, and performance (caching, pagination, rate limits).
- Set up CI/CD (GitHub Actions/Azure DevOps/CodePipeline) and automate tests.
- Collaborate with product/design; write clean docs and maintain IaC where applicable.
Required Skills
- Strong C#/.NET (Core preferred) and Angular (TypeScript, RxJS).
- REST API design; JSON, OpenAPI/Swagger; testing frameworks (xUnit/Jest/Karma).
- Practical AWS serverless experience (Lambda + API Gateway at minimum).
- SQL and/or NoSQL design; query tuning; secure coding practices.
- Git, Agile/Scrum.
Good to Have
- Terraform/CloudFormation, Step Functions, Cognito, CloudFront.
- Containers (Docker), microservices patterns, observability (logs/metrics/traces).
- NgRx or similar state management.
If any customer visits to site, need to explain them about the Project and Amenities. Should show them the available Plots, Flats & Villas.
Develop and maintain strong customer relationships.
Identify new sales opportunities and potential clients.
Keep up-to-date with industry trends and competitor activities.
We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.
Key Responsibilities:
- Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
- Implement and manage the operationalization of LLMs using LLMOps best practices.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Optimize and troubleshoot model performance to ensure high accuracy and scalability.
- Stay updated with the latest advancements in Generative AI and LLM technologies.
Required Skills and Qualifications:
- Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
- Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
- Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Solid understanding of AI/ML algorithms and model optimization.
React.js
Javascript
R LanguageInvesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.
Key Responsibilities / Duties:
- Acquire, transform, and manage data supporting risk and control-related activities
- Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
- Maintain programming code, software packages, and databases to support ongoing analytics activities.
- Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
- Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
- Introduce new data analytics-related tools and technologies to business partners and consumers.
- Support business partners, data analysts, consumers’ understanding of product logic and related system processes
- Share learnings and alternative techniques with other Engineers and Data Analysts.
- Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
- Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
- Keep Head of Data Science & Engineering and departmental leadership informed of activities.
Work Experience / Knowledge:
- Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
- Experience within the financial services sector preferred
Skills / Other Personal Attributes Required:
- Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
- Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
- Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management.
- Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
- Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
- Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
- Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
- Self-starter and motivated; must be able to work without frequent direct supervision
- Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
- Excellent analytical and problem-solving skills
- Strong project management and administrative skills
- Strong written and verbal communication skills (English)
- Results-oriented and comfortable as an individual contributor on specific assignments
- Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
- Demonstrated ability to work in a diverse, cross-functional, and international environment
- Adaptable and comfortable with changing environment
- Demonstrates high professional ethics
Formal Education:
- Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
- MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
License / Registration / Certification:
- Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
- Other certifications considered depending on domain and relevant experience
Working Conditions:
Potential for up to 10% domestic and international travel
Docker
Kubernetes
JenkinsExperience with Linux infrastructure, opensource databases (mysql, postgres etc), CI/CD tools Jenkins, Gitlab, Nexus Repository, Jira, Agile workflow and Kanban.
- Solid understanding of IP network and TCP/IP
- Minimum of 7+ years’ work experience in IT
- Minimum of 4+ years experience as DevOps Enginneer
- Good interpersonal skills and communication written and oral.
VP Engineering
BANGALORE, KARNATAKA / 1. ENGINEERING – LEADERSHIP / FULL TIME
Disney Media & Entertainment Distribuon (DMED) brings together the Company’s best-in-class product, technology, and commercializaon teams together into one global organizaon. DMED is responsible for the P&L management and all distribuon, network and engineering operaons, sales, adversing, data, and certain key technology funcons worldwide for the Company’s content engines. DMED also manages operaons of the Company’s streaming services including Disney+, Hulu, ESPN+ and Disney+ Hotstar; and domesc broadcast and cable television networks.
Disney+ Hotstar is leading the way as the largest and smartest video plaorm in the country, reaching over 300 million users today. We have set a number of world records along the way - including for the highest concurrent viewership at 25.3 million during the ICC Cricket World Cup 2019. Disney+ Hotstar today is the one-stop desnaon for all your entertainment needs - from Live Sports, Indian and Internaonal Shows and Movies to all Disney content, including Pixar, Marvel, Star Wars, Naonal Geographic and Disney+ Originals. We’re looking for the brightest minds to build the future of TV with us.
About the Team
In this role, you will build large distributed systems to process and stream video at scale and drive all user aspects. As a VP for the team, you will develop plaorms and tools that deliver personalized recommendaons to 500+ million users. You will work on building storage soluons and microservices that serve recommendaons at a rate of few 100K requests per second. You
21/05/2021 Disney+ Hotstar - VP Engineering
will develop tools that serve recommendaons to our users in real-me. You will work closely with our product team to build new and compelling experiences for our customers!
The pace of our growth is incredible – if you want to tackle hard and interesng problems at scale, and create an impact within an entrepreneurial environment, join us!
Your Key Responsibilies
Responsible for the overall soware development life cycle.
Management and execuon against project plans and delivery commitments
Manage the day-to-day acvies of the engineering team within an Agile/Scrum environment.
Management of departmental resources, staffing, mentoring, enhancing, and maintaining a best-of-class engineering team.
Work closely with the engineers to architect and develop the best technical design and approach.
Contribute substanally to innovaon and overcome technology limitaons to deliver on customer experience.
Report on the status of development, quality, operaons, and system performance to management.
What to Bring
Bachelor's Degree in Computer Science or related field
14+ years of experience designing and developing complex, interacve consumer applicaons
Proficient with either Java or GoLang
7+ years of experience in soware development with strong experse in Java with micro web frameworks – like Play, Spring MVC, reacve programming
At least 5 years managing soware development teams including hands-on architectural or distributed systems experience
21/05/2021 Disney+ Hotstar - VP Engineering
Exposure in building RESTful APIs with monitoring(New Relic, statsd, graphite), fault tolerance and metrics
Experience with MySQL, NoSQL (Cassandra, Redis, DynamoDB) Experience/Knowledge of Nelix OSS.
Experience in server-side services using ElascSearch, Kaa Experience with AWS stack.
Experience with CI/CD processes.
A strong track record of project delivery for large, cross-funconal, projects and bringing in and growing engineering talent
Excellent wrien and verbal communicaon skills with the ability to present complex technical informaon clearly and concisely to a variety of audiences.
An entrepreneurial spirit combined with strong programming and product management skills
Our Values
- Audacity
- Self-Awareness - Ownership
- Bias for Acon
- Collaboraon
- Radical Candour - Inclusivity
- Mentorship
The Perks
- The glory. Almost too much responsibility. - No dress code. Unlimited leave.
- A fun-life balance.
- A cket on our rocket ship to the moon.
Who we are as an employer
We are an equal opportunity employer and all qualified applicants will receive consideraon for employment without regard to race, colour, religion, sex, naonal origin, gender identy,
🚀
21/05/2021 Disney+ Hotstar - VP Engineering
disability, protected veteran status, or any other characterisc protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Who we are as a company
We’re Disney+ Hotstar. The go-to desnaon for over 300 million users for everything from Live Sports, Indian and Internaonal Shows and Movies to all Disney content, including Pixar, Marvel, Star Wars, Naonal Geographic and Disney+ originals. Our mission is to revoluonize internet entertainment through smart personalizaon, and by building a global video plaorm that takes over the world wide web and the whole wide world.
• Participate in formal reviews of business requirements and application designs.
Perform requirement ambiguity testing and provide inputs to the SME.
• Should have knowledge on enterprise applications testing preferable in Supply chain/
ERP/ CRM solutions.
• Be a quick learner of product and domain knowledge
• Advanced product knowledge/SME Coordinates production verification
• Perform risk based testing approach for early identification of the probabilistic
failures.
• Perform test estimation inline to the agile/scrum environment
• Test suite design for the product releases.
• Mentor the team and be a hand on in executing the test suite.
• Tracking/reporting/triage of bug.
• Should have hands-on experience in automation testing using Selenium tool with
appropriate frameworks
• Be able to design the approach and validate for non-functional product requirements.
• Delivering 100% quality of the product to customers (functional and non-functional
testing like performance, stress testing, localization and accessibility testing)
Java| • Experience of over 5+ years with solid understanding of object-oriented design • Proficient in Java, J2EE and related technologies. • Experienced in using Spring Boot, messaging systems. • Good understanding of relational database performance concepts and usage of ORM frameworks such as Hibernate • Expert understanding of the object-oriented design and programming concepts • Strong Knowledge on Data Structures, Algorithms and Collections. • Solid experience building applications on top of RESTful APIs. • Knowledge/experience with Spring MVC • Stroing knowledge in developing and executing automated unit, functional and integration tests • Good communication and analytical skills. • Strong trouble shooting skills. |
Java
AngularJS (1.x)
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