Site Reliability Engineer

Role: Senior Software Engineer (SDE III) – AI & Backend

Location: Bangalore

Experience: 5-8 Years

Notice: Immediate – 15 Days

Work Mode: Work From Office

Type: Contract to Hire (CTH)

Role Overview

We are looking for a Senior Software Engineer with strong expertise in backend development and AI systems. You will build scalable platforms, AI-powered agents, and real-time voice applications.

What You’ll Do

● Design and develop scalable backend services using Python

● Build microservices, RESTful APIs, and event-driven systems

● Develop AI-powered agents using LLM frameworks and multi-agent systems

● Work on voice systems using STT/TTS and real-time streaming architectures

● Integrate APIs, vector databases, and RAG-based systems

● Collaborate with cross-functional teams and mentor junior engineers

What We’re Looking For

● 5+ years of experience in software development

● Strong proficiency in Python.

● Experience with microservices and distributed systems

● Hands-on experience with LLMs and agent frameworks (LangChain, AutoGen, etc.)

● Familiarity with vector DBs, embeddings, and cloud platforms (AWS/GCP/Azure)

● Good communication skills and ownership mindset

Nice to Have

● Experience with voice systems (STT/TTS) and real-time architecture

● Exposure to MCP or similar frameworks

● Experience building AI copilots or multi-modal systems

• Strong Lead Search Engineer / AI-ML Leader Profile
• Mandatory (Experience 1) - Must have minimum 11+ years of hands-on experience in Search / Information Retrieval / NLP / Machine Learning
• Mandatory (Experience 2) - Must have minimum 9+ YOE in backend development using languages (Python or Java)
• Mandatory (Experience 3) - Must have Experience designing taxonomy, ontology, tags, thesaurus, and metadata models
• Mandatory (Experience 4) - Must have Experience with Big Data frameworks (Hadoop, Spark) for search/ML workloads
• Mandatory (Experience 5) - Must have Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).
• Mandatory (Experience 6) - Must have experience in designing, building, and scaling RESTful APIs and Web Services.
• Mandatory (Experience 7) - Must have hands-on experience in statistical tools (Python, R, SAS, or open-source libraries).
• Mandatory (Experience 8) - Must have Experience with SQL/NoSQL databases (CosmosDB, Cassandra, MongoDB).
• Mandatory (Company) - Product Companies (Preferrably high search volumes companies like Flipkart, Amazon, Zepto, Zomato...etc)
• Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy

Preferred

• Preferred (Experience) - Familiarity with modern frontend frameworks (React, Angular, HTML5, CSS3).
• Preferred (Tools) - Must Hands-on with dev tools: Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory and web servers (Tomcat, Jetty, JBoss).
• Preferred (Education) -BE /B.Tech /M.Tech

 Hiring: Cloud Engineer – MLOps Platform 🚨

📍 Location: Bangalore

🧠 Experience: 5–8 Years

We are looking for an experienced Cloud Engineer to support ML teams and drive end-to-end automation for model deployment across modern cloud platforms.

🔹 Tech Stack:

Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD

🔹 Key Responsibilities:

• Build and maintain CI/CD and Continuous Training (CT) pipelines using Azure DevOps, GitHub Actions, or Jenkins.

• Deploy Databricks jobs, MLflow models, and microservices on AKS / ARO environments.

• Automate infrastructure using Terraform and GitOps practices.

• Manage Databricks workspaces, AKS clusters, and networking configurations.

• Implement monitoring, logging, and alerting systems for ML workloads.

• Ensure cloud security, governance, and cost optimization best practices.

🔹 Required Skills:

✔ Strong hands-on experience with Azure, AKS, ARO, and Databricks

✔ Experience with MLflow and Kubernetes-based deployments

✔ Proficiency in Python and Bash / PowerShell scripting

✔ Strong understanding of cloud security, infrastructure automation, and distributed systems

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.

About Sportz Interactive

Sportz Interactive (SI) works with its clients and partners to revolutionize the sports fan experience across consumption points by creating best-in-class, kickass products. SI was founded in 2002 as a B2B sports content business. Through the years, it gained immense reputation for its state-of-the-art hosted solutions, digital simulators, match centers and fantasy games. Sportz Interactive has a fantastic reputation in the online sports community, having worked with clients across the globe including the likes of The International Cricket Council, STAR Sports, Yahoo!, AOL, Eurosport, Castrol, Web 18, NDTV, Nimbus, Times of India, Rediff.com and Singtel amongst others. 

Sportz Interactive provides in-depth sports information and content and specializes in product development for the web, mobile and other interactive platforms. 
http://www.sportzinteractive.net/">www.sportzinteractive.net 

Designation: Senior Associate 

Office Location: Goregaon East, Mumbai

Position description:

3+ years of experience in database development.

Primary Responsibilities:

• Understand requirements from front end applications developers
• Write advanced queries, stored procedures, cursors, functions & triggers
• Conduct code reviews
• Work with high-traffic application servers
• Complete understanding of various DB like Postgresql, Mongo DB, MySQL 
• Ability to identify root cause and mitigate issues
• Ability to lead a team of DB developers

Required Skills:

Mandatory: Passionate about sports, Problem solving, Team player, Target & Result oriented, Strong communication skills.

Functional: Oracle SQL, PostgreSQL Development - TSQL, Advance Queries, Query Optimization, Stored Procedures, Triggers & Cursors, Database Design, Indexes, Joins, ETL tools like SSAS, SSIS, High Data Volume Processing, DB Backup/Recovery.

We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.

Responsibilities:

• Management & scaling up existing infrastructure for high-frequency market data capture.
• Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
• Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
• This will involve studying the strategy development process and performance evaluation metrics.
• Develop autopilot risk-management systems to monitor live performance of the Portfolio.
• Improve the existing algorithms to achieve better execution price and reduce the latency.

Requirements:

Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:

• High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
• Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
• Well-versed in software engineering principles, frameworks and technologies.
• The ability to manage multiple tasks in a fast-paced environment.
• Excellent analytical and problem solving abilities.
• A keen interest in learning about the financial markets.

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.