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🚀 We're Hiring | Site Reliability Engineer (SRE)

📍 Location: Hyderabad (Hybrid)

💼 Experience: 4–6 Years

P99Soft is looking for a skilled Site Reliability Engineer (SRE) to join our engineering team. If you're passionate about building highly available, scalable cloud infrastructure and driving automation across modern DevOps environments, we'd love to hear from you.

Key Responsibilities

- Design, implement, maintain, monitor, and support backend servers and microservices infrastructure.

- Build and maintain automation tools for development, testing, operations, and IT infrastructure.

- Participate in 24/7 on-call support for production incidents (PagerDuty).

- Collaborate with cross-functional teams to ensure seamless deployments and operational excellence.

- Define and improve SRE processes across development, testing, releases, and support.

- Troubleshoot complex infrastructure and production issues.

- Drive infrastructure automation and continuous process improvements.

Implement security best practices, vulnerability assessments, and risk management.

- Perform incident management and root cause analysis (RCA).

- Monitor system health, customer experience, and operational KPIs.

Required Skills

- Cloud Platforms: AWS, GCP

- Containerization & Orchestration: Docker, Kubernetes, Rancher, Amazon EKS, Amazon ECS, GKE, Elastic Beanstalk, Google App Engine

- Infrastructure as Code (IaC): Terraform, AWS CloudFormation, GCP Deployment Manager, Ansible

- Monitoring & Observability: Prometheus, Datadog, Alertmanager, Thanos, AWS CloudWatch

- CI/CD: GitLab CI/CD, Jenkins

- Scripting: Python, Golang

- Version Control: GitLab, Perforce, Subversion

- Operating Systems: Ubuntu, CentOS, Amazon Linux, Red Hat Enterprise Linux

If you have hands-on experience managing cloud-native infrastructure, Kubernetes environments, DevOps automation, and production operations, we'd love to connect with you.

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We are looking for an experienced Full Stack Developer to join our in-office engineering team in Hyderabad. You will build and maintain scalable, secure, multilingual web and mobile-facing products end to end — from intuitive front-end interfaces to robust back-end services and APIs.

Key Responsibilities

• Design, develop, and maintain front-end (React.js) and back-end (Node.js/Express.js) components.
• Build and integrate secure REST APIs and manage databases (MongoDB / SQL).
• Write clean, testable, well-documented code and participate in code reviews.
• Collaborate with product, design, and QA teams to ship features on schedule.
• Optimise applications for performance, scalability, and security.
• Troubleshoot, debug, and resolve production issues.

Requirements

• 3–10 years of hands-on full-stack development experience.
• Strong proficiency in React.js, Node.js, JavaScript/TypeScript, and REST APIs.
• Solid experience with databases (MongoDB and/or SQL) and version control (Git).
• Good understanding of responsive design, security best practices, and cloud deployment.
• Strong problem-solving skills and the ability to work on-site in a collaborative team.

What We Offer

• Competitive salary
• Opportunity to work on a fast-growing, cross-border product.
• A collaborative, in-office team environment in Hyderabad.

EDUCATION & EXPERIENCE :

- A professional degree in Computer Science from a reputable institution, backed by a consistent academic record.

- A knack for problem-solving, data structures, and algorithms.

- Proficiency in ElasticSearch.

- 3+ years of hands-on development experience, primarily in building products for large enterprises.

- Exceptional communication skills.

- Mastery in Java programming; familiarity with Python is a plus.- Experience with Spring Boot.

- Practical knowledge of one or more cloud-based technologies (e.g., ElasticSearch, Storm, Hazelcast, MongoDB, Ceph, Kafka) is highly desirable.

- Expertise in building concurrent and/or parallelized, highly performant scalable applications.

- A track record of identifying and addressing complex issues in scalable deployments.

- Exposure to Service-Oriented Architecture (SOA) and Test-Driven Development (TDD) is an added advantage.

ROLES & RESPONSIBILITIES :

- Dive deep into technical aspects (Analysis, Design & Implementation) as required.

- Take complete ownership of features within the product.

- Engage in debates and detailed discussions about functional and non-functional requirements with our Product Management team.

- Collaborate with the team to design solutions, seeking stakeholder input before implementation.

- Create essential artifacts such as functional specifications and detailed designs for your assigned features.

- Implement intricate features with an unwavering commitment to quality, following the Test- Driven Development (TDD) process.

- Maintain open lines of communication, promptly reporting risks and progress to your supervising manager.

- Share your expertise and mentor team members.

- Provide support by troubleshooting and creating Root Cause Analysis (RCA) for production issues, subsequently working on short-term and long-term solutions.

Job description

Brief Description

One of our client is looking for a Lead Engineer in Bhopal with 5–10 years of experience. Candidates must have strong expertise in Python. Additional experience in AI/ML, MERN Stack, or Full Stack Development is a plus.

Job Description

We are seeking a highly skilled and experienced Lead Engineer – Python AI to join our dynamic team. The ideal candidate will have a strong background in AI technologies, MERN stack, and Python full stack development, with a passion for building scalable and intelligent systems. This role involves leading development efforts, mentoring junior engineers, and collaborating with cross-functional teams to deliver cutting-edge AI-driven solutions.

Key Responsibilities:

• Lead the design, development, and deployment of AI-powered applications using Python and MERN stack.
• Architect scalable and maintainable full-stack solutions integrating AI models and data pipelines.
• Collaborate with data scientists and product teams to integrate machine learning models into production systems.
• Ensure code quality, performance, and security across all layers of the application.
• Mentor and guide junior developers, fostering a culture of technical excellence.
• Stay updated with emerging technologies in AI, data engineering, and full-stack development.
• Participate in code reviews, sprint planning, and technical discussions.

Required Skills:

• 5+ years of experience in software development with a strong focus on Python full stack and MERN stack.
• Hands-on experience with AI technologies, machine learning frameworks (e.g., TensorFlow, PyTorch), and data processing tools.
• Proficiency in MongoDB, Express.js, React.js, Node.js.
• Strong understanding of RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure, GCP).
• Experience with CI/CD pipelines, containerization (Docker), and version control (Git).
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Education Qualification:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Certifications in AI/ML or Full Stack Development are a plus.

Job Title: Practical Coordinator

Location: Mumbai

Employment Type: Full-time, In-Office Work (6 days per week)

Job Description:

• Conduct outbound calls to students who have completed their theory classes to assist them in scheduling their practical training sessions as part of the Personal Training Course.

• Manage incoming requests from students across various communication channels, including phone calls, emails, WhatsApp, and messages, ensuring effective communication and clarity regarding practical training schedules.

• Maintain and update practical scheduling data in Excel and Google Sheets, ensuring accuracy and accessibility for all relevant Stakeholders.

• Generate and distribute scheduling reports for review, tracking, and reference purposes.

If anyone intt then apply through link:-  https://tiny.cc/NGtalent  

Requirements

• 3+ years work experience with production-grade python. Contribution to open source repos is preferred
• Experience writing concurrent and distributed programs, AWS lambda, Kubernetes, Docker, Spark is preferred.
• Experience with one relational & 1 non-relational DB is preferred
• Prior work in the ML domain will be a big boost

What You’ll Do

• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow.
• Write maintainable, scalable performant python code
• Building gRPC, rest API servers
• Working with Thrift, Protobufs, etc.

Key Responsibilities:

• Rewrite existing APIs in NodeJS.
• Remodel the APIs into Micro services-based architecture.
• Implement a caching layer wherever possible.
• Optimize the API for high performance and scalability.
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

1. At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
2. Excellent hands-on experience using MySQL or any other SQL Database.
3. Good knowledge of MongoDB or any other NoSQL Database.
4. Good knowledge of Redis, its data types, and their use cases.
5. Experience with graph-based databases like GraphQL and Neo4j.
6. Experience developing and deploying REST APIs.
7. Good knowledge of Unit Testing and available Test Frameworks.
8. Good understanding of advanced JS libraries and frameworks.
9. Experience with Web sockets, Service Workers, and Web Push Notifications.
10. Familiar with NodeJS profiling tools.
11. Proficient understanding of code versioning tools such as Git.
12. Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
13. Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
14. Experience building a large-scale social or location-based app.

Market Research and Analysis:

Identify potential markets, niches, and segments for the travel company's services.

Conduct market research to understand customer preferences, trends, and competition.

Analyze data to identify growth opportunities and gaps in the market.

Lead Generation:

Generate leads through various channels such as cold calling, networking events, online platforms, and referrals.

Qualify leads based on their potential as clients and align them with the company's target customer profile.

Client Relationship Management:

Build and maintain strong relationships with existing clients to ensure customer satisfaction and repeat business.

Address client inquiries, concerns, and feedback promptly and professionally.

Partnerships and Alliances:

Identify potential partners, collaborators, and suppliers within the travel industry.

Establish and nurture partnerships to enhance the company's service offerings and value proposition.

Sales and Revenue Generation:

Develop and execute sales strategies to achieve revenue targets and company growth objectives.

Present the company's services to potential clients, highlighting unique selling points and benefits.

Proposal Development:

Prepare and present proposals to potential clients that outline the company's services, pricing, and value proposition.

Customize proposals to address the specific needs and requirements of each potential client.

Negotiation and Closing Deals:

Negotiate terms and conditions with clients to reach mutually beneficial agreements.

Close deals and secure new business partnerships.

Networking and Industry Events:

Attend industry conferences, trade shows, and networking events to expand the company's presence and connect with potential clients and partners.

Reporting and Analysis:

Track and report on sales activities, lead generation, and revenue performance.

Analyze sales data to identify trends, areas for improvement, and growth opportunities.

Collaboration with Marketing:

Collaborate with the marketing team to develop promotional materials, campaigns, and content that align with business development goals.

CRM and Database Management:

Up-to-date records of leads, clients, and interactions

Continuous Learning:

Stay informed about industry trends, emerging technologies, and the competitive landscape to adapt strategies accordingly.

Feedback Loop:

Provide valuable feedback to the company's management based on market insights, customer feedback, and competitive analysis.