Roles and Responsibilities
- Managing Availability, Performance, Capacity of infrastructure and applications.
- Building and implementing observability for applications health/performance/capacity.
- Optimizing On-call rotations and processes.
- Documenting “tribal” knowledge.
- Managing Infra-platforms like Mesos/Kubernetes,CICD,Observability (Prometheus/New Relic/ELK),Cloud Platforms (AWS/ Azure),Databases,Data Platforms Infrastructure
- Providing help in onboarding new services with production readiness review process.
- Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
- Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
- Working with Dev team to have in depth understanding of the application architecture
and its bottlenecks.
- Identifying observability gaps in product services, infrastructure and working with stake
owners to fix it.
- Managing Outages and doing detailed RCA with developers and identifying ways to
avoid that situation.
- Managing/Automating upgrades of the infrastructure services.
- Automate toil work.
Experience & Skills
- 6+ years of total experience
- Experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
- A collaborative spirit with the ability to work across disciplines to influence, learn, and
deliver.
- A deep understanding of computer science, software development, and networking principles.
- Demonstrated experience with languages, such as Python, Java, Golang etc.
- Extensive experience with Linux administration and good understanding the various
linux kernel subsystems (memory, storage, network etc).
- Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
- Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and
- Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
- Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure
solutions like Microsoft Azure or Google Cloud.
- Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker,
Argo etc.
- Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.

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About the Internship
The Nexora Group is looking for motivated and enthusiastic interns for the role of Data Science with AI Intern. This internship provides practical exposure to data analysis, machine learning, AI tools, and real-world datasets through guided mentorship and project-based learning.
Interns will gain hands-on experience working on live tasks related to data processing, visualization, predictive analytics, and AI-driven solutions.
Responsibilities
- Assist in collecting, cleaning, and analyzing datasets.
- Work on data visualization and reporting tasks.
- Support machine learning and AI model development activities.
- Participate in research and implementation of AI-based solutions.
- Perform data preprocessing and feature engineering tasks.
- Collaborate with mentors and team members on project assignments.
- Test, evaluate, and improve model performance.
- Maintain project documentation and reports.
Required Skills
- Basic understanding of Python or any programming language.
- Interest in Data Science, Analytics, and AI technologies.
- Knowledge of statistics, data handling, or logical reasoning is a plus.
- Good analytical and problem-solving skills.
- Ability to learn and work collaboratively in a team environment.
Preferred Skills (Optional)
- Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
- Basic understanding of Machine Learning concepts.
- Knowledge of SQL, Excel, or data visualization tools.
- Interest in Artificial Intelligence and automation technologies.
Who Can Apply
- Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
- Freshers seeking practical exposure in Data Science and AI.
- Candidates passionate about analytics, AI, and emerging technologies.
Perks & Benefits
- Hands-on experience with real-world datasets and projects.
- Mentorship from experienced professionals.
- Internship Completion Certificate.
- Letter of Recommendation based on performance.
- Flexible learning and working environment.
- Opportunity to build practical technical skills.
- Top performers may receive future opportunities based on project requirements.
Senior-level .NET Developer
Experience – 5–8 years
Location – Remote
Core Requirements -
- Proficiency in modern C# and .NET SDK, including async/await and LINQ.
- Familiarity with .NET 8 and modern .NET development.
- Experience with Azure App Service, Azure Functions, and Azure DevOps.
- Strong experience with .NET Core and cross-platform application development.
- Understanding of microservices, containerization, and serverless computing patterns.
- Familiarity with integrating AI/ML technologies into .NET applications. Claude Code preferred.
- Understanding of DevOps practices and tools, including Azure DevOps.
- React 18+: Experience with concurrent rendering, Suspense, and server components if using Next.js.
- TypeScript: Strong experience building typed React applications.
- State Management: Experience with Redux Toolkit, Zustand, or React Query for server state.
- UI Frameworks: Experience with Material UI (MUI), Chakra UI, or Tailwind CSS.
- Routing: Experience with React Router v7 or Next.js routing if SSR/SSG is used.
- API Integration: Experience with Fetch API, Axios, or React Query for consuming .NET APIs.
- Form Handling: Experience with React Hook Form or Formik, including validation using Yup/Zod.
- Testing: Experience with Jest, React Testing Library, and/or Cypress for E2E testing.
- Build Tools: Experience with Vite, Webpack 6, or Turbopack.
- Performance Optimization: Experience with code splitting, lazy loading, and memoization.
- CORS: Understanding of CORS configuration in ASP.NET Core for React clients.
Nice to Have -
- Experience in Case Management, Legal, Financial, or Mortgage domains.
- Legacy development experience, as the role will involve some legacy work while transitioning to newer development.
Key Responsibilities
- Design, develop, and maintain scalable web applications using Java-based frameworks
- Build responsive and user-friendly front-end interfaces
- Develop RESTful APIs and microservices architecture
- Collaborate with cross-functional teams including Business team, developers, BAs, and QA
- Write clean, maintainable, and efficient code following best practices.
- Use AI tools to improve development productivity, testing, and troubleshooting.
- Troubleshoot and debug production issues.
Required Skills & Qualifications
- 5+ years of experience in full stack development
- Experience with HCL Commerce is a must
- Strong proficiency in Java (Java 8 or above)
- Solid knowledge of front-end technologies such as JSP, JavaScript and CSS
- Experience building RESTful APIs and working with microservices architecture
- Good understanding of HTML5, CSS3, and responsive design
- Experience with relational databases such as Oracle
- Familiarity with version control systems like Git
- Knowledge of containerization tools like Docker and orchestration tools like Kubernetes (good to have)
Preferred Qualifications
- Experience with CI/CD pipelines
- Familiarity with Agile/Scrum methodologies
- Knowledge of security best practices in web applications
Skills - MLOps Pipeline Development | CI/CD (Jenkins) | Automation Scripting | Model Deployment & Monitoring | ML Lifecycle Management | Version Control & Governance | Docker & Kubernetes | Performance Optimization | Troubleshooting | Security & Compliance
Responsibilities:
1. Design, develop, and implement MLOps pipelines for the continuous deployment and
integration of machine learning models
2. Collaborate with data scientists and engineers to understand model requirements and
optimize deployment processes
3. Automate the training, testing and deployment processes for machine learning models
4. Continuously monitor and maintain models in production, ensuring optimal
performance, accuracy and reliability
5. Implement best practices for version control, model reproducibility and governance
6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness
7. Troubleshoot and resolve issues related to model deployment and performance
8. Ensure compliance with security and data privacy standards in all MLOps activities
9. Keep up to date with the latest MLOps tools, technologies and trends
10. Provide support and guidance to other team members on MLOps practices
Required skills and experience:
• 3-10 years of experience in MLOps, DevOps or a related field
• Bachelor’s degree in computer science, Data Science or a related field
• Strong understanding of machine learning principles and model lifecycle management
• Experience in Jenkins pipeline development
• Experience in automation scripting
relentlessly improving performance, scalability, and maintainability.
● Sound knowledge and application of algorithms and data structures.
● Proficient in Java, Springboot and Mysql.
● Able to efficiently diagnose bugs and issues.
● Understanding of when to escalate questions/issues that arise during development.
● Work with other developers, QA, DevOps and business staff to efficiently launch features
and resolve issues.
● Actively participate in design and code reviews to build robust applications and prototypes.
● A willingness to dive deep, experiment rapidly and get things done.
● Provide input to how we can continually improve our development process and knowledge.
● Define and participate in establishing better engineering practices.
● Love being challenged by learning and experimenting with new technologies
● Experience with ElasticSearch, Cassandra, Redis, Kakfa, AWS is a plus.
● Prior experience in building microservices, have worked on architectures and designs
independently is a plus.
● Prior product building experience or from a startup background would be a plus.
Primary Skills
• Java EE (Servlets, JSTL, JSP, JDBC)
• Frontend frameworks (ReactJS)
• Pure JavaScript, jQuery
• Bootstrap, HTML5, CSS, SASS
• Microsoft SQL Server (writing queries, stored procedures, triggers etc.)
1. Core Responsibilities
· Leading solutions for data engineering
· Maintain the integrity of both the design and the data that is held within the architecture
· Champion and educate people in the development and use of data engineering best practises
· Support the Head of Data Engineering and lead by example
· Contribute to the development of database management services and associated processes relating to the delivery of data solutions
· Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.
· Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise
· Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.
· Provide support for the scoping and delivery of BI capability to internal users.
· Identify risks and issues and escalate to Line / Project manager.
· Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.
· Develop and maintain documentation in support of all BI processes.
· Proactively identify cost-justifiable improvements to data manipulation processes.
· Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.
· Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.
· Demonstrate enthusiasm and self-motivation at all times.
· Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.
· Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence
· Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.
· Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.
· Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.
2. Experience Requirements
· 5 years Data Engineering / ETL development experience is essential
· 5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential
· 5 years experience of working in a structured Change Management project lifecycle is essential
· Experience of working in a financial services environment is desirable
· Experience of dealing with senior management within a large organisation is desirable
· 5 years experience of developing in conjunction with large complex projects and programmes is desirable
· Experience mentoring other members of the team on best practise and internal standards is essential
· Experience with cloud data platforms desirable (Microsoft Azure) is desirable
3. Knowledge Requirements
· A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential
· Strong demonstrable knowledge of data warehouse methodologies
· Robust understanding of high level business processes is essential
· Understanding of data migration, including reconciliation, data cleanse and cutover is desirable
We are looking for an experienced NodeJS/ExpressJS/TypeScript developer. You will work on the most
critical software development team in a fast-growing data-centric software company. You will develop high performance, highly available REST and GraphQL APIs that will deliver data to our suite of web and mobile
apps.
Duties and Responsibilities
Software Development: You will work with the engineering lead to design and develop REST and
GraphQL APIs that will serve data from MongoDB and ElasticSearch.
Automated Test Scripts: You will write automated test scripts for all of your code. You will work with
the QA manager to determine optimal code coverage.
Code Reviews: You will assist in reviewing PRs raised by other team members. You will be
responsible for ensuring that the code satisfies the documented requirements, includes the necessary
automated tests and follows our documented coding standards and best practices.
API Support: API issues will be reported manually and automatically (via alerts) to a series of Slack
channels. You will monitor these channels and create Jira tickets to diagnose and fix these issues. You
will ensure that affected API consumers are informed regularly as to the status of the open issues.
API Documentation: You (and the rest of the API team) will be responsible for keeping the API
documentation up to date.
Skills and Qualifications
Bachelor's degree in computer science, information science, or similar.
Exceptional analytical and problem-solving skills.
Great organizational and time management skills.
Extensive knowledge of NodeJS libraries and frameworks.
REST APIs: 3+ years required.
GraphQL APIs: 1+ years desired.
ExpressJS or Fastify: 2+ years required
Advanced TypeScript: 1+ years required
NodeJS: 2+ years required
Node Streams: 1+ years desired
AWS High-Availability Clusters: 1+ years desired
MongoDB: 2+ years desired
Search Engines (ES or Solr): 2+ years desired
Big Data: 1+ years’ experience querying datasets with hundreds of millions of rows desired
Mocha/Chai: 1+ years desired
Bitbucket or GitHub: 1+ years required
Job Details:-
Designation - Backend Developer
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 2-4 years.
Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.
Experience required in Node.js & PostgreSQL
Backend Developer
Job Description
Responsibilities
- Participate in the entire application lifecycle, focusing on coding and debugging
- Must have a clear understanding of Databases
- Write clean code to develop functional web applications
- Troubleshoot and debug applications
- Perform UI tests to optimize performance
- Manage cutting-edge technologies to improve legacy applications
- Collaborate with Front-end developers to integrate user-facing elements with server side logic
- Gather and address technical and design requirements
- Provide training and support to internal teams
- Build reusable code and libraries for future use
- Liaise with developers, designers and system administrators to identify new features
- Follow emerging technologies
Requirements
- Proven work experience as a Back-end developer
- Experience in Node.js, AWS, Postgres
- Familiar with building REST API
- In-depth understanding of the entire web development process (design, development and deployment)
- Hands on experience with programming languages like Java
- Working knowledge of CMS framework
- Familiarity with front-end languages (e.g. HTML, JavaScript)
- Excellent analytical and time management skills
- Teamwork skills with a problem-solving attitude
Mandatory: Hands on experience working with Java or Kotlin. Very strong logical skills. Good hold on operating system concepts and data structure. Experience with web services , SQL Lite , camera kit , image caching concepts, keychain , past experience working with one of the design patterns like MVC / MVVM / MVP , network check implementation.
Good to have: Rx-Swift experience , video / image filter experience , media player usage , complex UX effects , couch-db , RealM.Knowledge of GIT management , Continuous Integration and Continuous Development practices.
Soft Skills: Strong communication skills , high spirited , eager to learn , able to perform in a high pressure environment









