Job title -Software Engineer Notice period – Immediate to 1 month of Notice Job location – Bangalore/Chennai Work culture -Hybrid work culture (Tue, wed, Thur -In office days) Mandatory Skills required – Golang Development Looker with Min of 1-year hands on exp Total year of Experience - 3 to 5 Role: Working within Product Engineering with multi-location teams, your mission will be to play an active role in designing & developing application and working as a Full stack developer. You should also be able to collaborate with other team members for understanding the objectives, meeting the expectation and delivering the requirements within agreed timeline with good quality and be up to date on new technologies and Key design principles. Responsibilities · Develop creative solutions and write technical design based on the requirements. · Develop and maintain enterprise grade SaaS software, adapting Agile methodology. · Assist in tuning and optimization. · Develop and execute unit tests for product components. · Perform peer code reviews and provide feedback. · Promote high quality, scalability, and timely completion of projects. · Development in Core Java, J2EE, Struts, spring, Client-Side scripting, Hibernate, Database · Development of scalable core-java applications, Web Applications and Web Services Requirements · Bachelor’s degree in engineering, CS or equivalent experience · Understanding of Data Structures, algorithms and their applications · Strong problem-solving skills · Experience in building microservices using Spring Boot stack (spring cloud, spring-data) · Extensive experience in developing and consuming REST APIs · Experience in profiling applications · Experience with at least one of the front-end frameworks such as Angular or Vue. · Strong analytical skills and general logical reasoning · Excellent written and verbal communication skills and presentation skills. · Good understanding of Software development life cycle (SDLC) · Basic SQL queries · Must have software development experience using: Java Sprintboot, Kafka, SQL, Linux, Apache Redis, · Good to have software development experience in AWS cloud using: Go, Python, MongoDB, Postgres, Clickhouse · Experience: 4 to 10 years Job Type: Full-time Pay: ₹531,440.41 - ₹1,945,125.78 per year Benefits: Health insurance Provident Fund Experience: Looker: 1 year (Required) Go, Python, MongoDB, Postgres, Clickhouse: 3 years (Preferred) Java Sprintboot, Kafka, SQL, Linux, Apache Redis: 3 years (Preferred) consuming REST APIs: 3 years (Preferred) Java Development: 3 years (Required) Work Location: In person

We are looking for a motivated and dynamic Marketing Executive to promote and sell our community-based matrimonial software solution to regional and niche matrimony businesses. This is an exciting opportunity for someone early in their career who wants to learn, grow, and directly contribute to business expansion. Key Responsibilities: Identify and generate leads for prospective clients Reach out to small and medium matrimony companies across regions or communities Schedule and conduct product demos, both online and in-person Understand customer needs and communicate the value of our solution clearly Follow up on leads and maintain relationships with business owners Coordinate with the internal sales/tech team for client onboarding Maintain reports of outreach, demos, and lead status Requirements: 0–1 year of experience in marketing, business development, or sales Strong communication skills in English and regional languages Willingness to travel locally for meetings and demos Basic understanding of technology or SaaS solutions (training will be provided) Self-starter with a strong sense of ownership Nice to Have: Exposure to B2B sales or local business engagement Experience in matrimonial, community-based platforms, or cultural organizations Job Type: Full-time Pay: Up to ₹300,000.00 per year Benefits: Health insurance Provident Fund Education: Bachelor's (Preferred) Experience: Sales: 1 year (Preferred) Language: Hindi (Preferred) Kannada (Preferred) English (Preferred) Work Location: In person

Overall experience – 2 to 5 years, preferably worked in NOC environment support Must Have: · Hands-on experience on any one of the NOC Monitoring tools (Site 24x7, Nagios, OpsRamp, New relic, Prometheus, etc.,) · Experience in Linux and Windows server · Willing to work in rotational Shifts Requirements: 1. Experience in IT/Cloud infrastructure monitoring, preferably using the Site24x7 or similar monitoring tools. 2. Working knowledge of Linux and Windows operating systems at L1 levels. 3. Preferable knowledge of Docker container environments and cloud platforms like AWS and Azure. 4. Preferable understanding of networking concepts and infrastructure components. 5. Ability to perform basic troubleshooting and resolve issues related to servers, networks, and applications. 6. Excellent communication and interpersonal skills to effectively collaborate with team members and end-users. 7. Self-motivated and able to work independently as well as in a team-oriented environment. 8. Ability to adapt to a fast-paced and dynamic work environment, hard worker with eagerness to learn technologies. What we provide: 1. Comprehensive training and handholding to learn the underlying technologies in monitoring. 2. Continual reviews and improvement initiatives to ensure that manpower scales up in a collaborative work environment. 3. Transparency and growth-oriented work environment for technical engineers. Responsibilities: 1. Monitor and analyze the performance, availability, and health of servers, networks, applications, and other IT infrastructure components using the Site24x7 monitoring tool. 2. Respond to alerts and notifications generated by the monitoring system and perform L1 troubleshooting to resolve issues or escalate them to higher-level support teams. 3. Conduct regular checks and proactive monitoring to identify potential problems and address them before they impact the services. 4. Collaborate with network engineers, system administrators, and application support/DBAs, to troubleshoot and resolve basic issues. 5. Monitor and track incidents, service requests, and change requests related to the monitoring system, ensuring timely resolution and adherence to SLAs. 6. Document and maintain knowledge articles, standard operating procedures (SOPs), and troubleshooting guides for common monitoring issues. 7. Work closely with the L2 and L3 support teams to escalate and resolve complex issues that require their expertise. 8. Monitor the NOC dashboards, track maintenance for planned activities. 9. Will be part of the NOC group working in the night shifts as and when applicable. Job Type: Full-time Pay: Up to ₹900,000.00 per year Benefits: Health insurance Provident Fund Shift: Rotational shift Ability to commute/relocate: Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Experience: Docker container environments / AWS / Azure.: 1 year (Preferred) Linux / UNIX server: 2 years (Preferred) NOC Monitoring tools: 3 years (Preferred) Site 24x7, Nagios, OpsRamp, New relic, Prometheus): 3 years (Preferred)

Overall experience – 2 to 5 years, preferably worked in NOC environment support Must Have: · Hands-on experience on any one of the NOC Monitoring tools (Site 24x7, Nagios, OpsRamp, New relic, Prometheus, etc.,) · Experience in Linux and Windows server · Willing to work in rotational Shifts Requirements: 1. Experience in IT/Cloud infrastructure monitoring, preferably using the Site24x7 or similar monitoring tools. 2. Working knowledge of Linux and Windows operating systems at L1 levels. 3. Preferable knowledge of Docker container environments and cloud platforms like AWS and Azure. 4. Preferable understanding of networking concepts and infrastructure components. 5. Ability to perform basic troubleshooting and resolve issues related to servers, networks, and applications. 6. Excellent communication and interpersonal skills to effectively collaborate with team members and end-users. 7. Self-motivated and able to work independently as well as in a team-oriented environment. 8. Ability to adapt to a fast-paced and dynamic work environment, hard worker with eagerness to learn technologies. What we provide: 1. Comprehensive training and handholding to learn the underlying technologies in monitoring. 2. Continual reviews and improvement initiatives to ensure that manpower scales up in a collaborative work environment. 3. Transparency and growth-oriented work environment for technical engineers. Responsibilities: 1. Monitor and analyze the performance, availability, and health of servers, networks, applications, and other IT infrastructure components using the Site24x7 monitoring tool. 2. Respond to alerts and notifications generated by the monitoring system and perform L1 troubleshooting to resolve issues or escalate them to higher-level support teams. 3. Conduct regular checks and proactive monitoring to identify potential problems and address them before they impact the services. 4. Collaborate with network engineers, system administrators, and application support/DBAs, to troubleshoot and resolve basic issues. 5. Monitor and track incidents, service requests, and change requests related to the monitoring system, ensuring timely resolution and adherence to SLAs. 6. Document and maintain knowledge articles, standard operating procedures (SOPs), and troubleshooting guides for common monitoring issues. 7. Work closely with the L2 and L3 support teams to escalate and resolve complex issues that require their expertise. 8. Monitor the NOC dashboards, track maintenance for planned activities. 9. Will be part of the NOC group working in the night shifts as and when applicable. Job Type: Full-time Pay: Up to ₹900,000.00 per year Benefits: Health insurance Provident Fund Shift: Rotational shift Ability to commute/relocate: Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Experience: Docker container environments / AWS / Azure.: 1 year (Preferred) Linux / UNIX server: 2 years (Preferred) NOC Monitoring tools: 3 years (Preferred) Site 24x7, Nagios, OpsRamp, New relic, Prometheus): 3 years (Preferred)

Job Description – AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) Location (Hybrid - Bangalore) About the Role We’re seeking an AI Developer who specializes in agentic AI frameworks —LangChain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi‑agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end‑to‑end deep‑learning life‑cycle (training, scaling, deployment, and monitoring). Key Responsibilities Scope What You’ll Do Agentic AI Frameworks (Primary Focus) Architect and implement multi‑agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision‑making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability). Image Classification & Extraction Build and fine‑tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data‑ingestion, labeling, and augmentation pipelines. LLM Fine‑Tuning & Retrieval‑Augmented Generation (RAG) Fine‑tune open‑weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain‑specific adapters. Deep Learning at Scale Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI. MLOps & Production Excellence Build robust APIs/micro‑services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning. Collaboration & Mentorship Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices. Minimum Qualifications B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git . Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer‑vision models for image classification/extraction. Hands‑on experience fine‑tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization. ---------------------------------------------------------------------------------------------------------------------------------------------------------- Job Type: Full-time Pay: Up to ₹1,200,000.00 per year Experience: AI, LLM, RAG: 4 years (Preferred) Vector database, Image classification: 4 years (Preferred) containerization (Docker): 3 years (Preferred) ML/DL systems with strong Python & Git: 3 years (Preferred) LangChain, LangGraph, CrewAI: 3 years (Preferred) Location: Bangalore, Karnataka (Preferred) Work Location: In person

Job title - Data Analyst Notice period – Immediate to 1 month of Notice Job location – Bangalore Work culture -Hybrid work culture (Tue, wed, Thur -In office days) Mandatory Skills required – Looker with Min of 4-year hands on exp Total year of Experience - 3 to 5 Key Responsibilities A LookML Specialist with client handling experience is a professional who not only possesses expertise in LookML (Looker's modeling language) for data modeling and analysis but also excels at communicating with and managing client relationships related to data insights and reporting. This role involves understanding client needs, translating them into effective LookML code for data models, and then presenting and explaining these models and resulting data visualizations to clients. Develop reusable LookML components to standardize and optimize dashboard and report creation, ensuring consistency and efficiency . Design and develop insightful Looker Studio dashboards that effectively communicate key performance indicators (KPIs) and customer behavior trends. Collaborate with program, UX, and product management teams to translate data insights into actionable strategies for optimizing the customer journey. Design and customize interactive dashboards with data visualizations (charts, graphs) to enhance insight presentation and facilitate data-driven decision-making. Write and optimize complex SQL queries for data extraction, transformation, and performance improvement in BigQuery. Integrate Looker with various data sources, including BigQuery, Cloud Storage, and external APIs, ensuring seamless data connectivity. Identify and resolve performance bottlenecks in Looker by tuning queries, optimizing caching strategies, and implementing indexing options. Configure user roles and permissions within Looker, enforcing data security best practices such as row-level and field-level security. Develop Python-based automation scripts interacting with Looker's API for workflow automation and integration with other tools. Use version control for managing LookML code changes, and collaborating with other developers. Implement and maintain a comprehensive GA4 tracking plan, ensuring accurate data collection and set up in a standardized, repeatable template Generate weekly email reports that summarize key metrics and provide actionable insights for stakeholders. Job Type: Contractual / Temporary Contract length: 4 months Experience: Looker analytics: 4 years (Preferred) LookML : 3 years (Preferred) Looker Integration with 3rd party API : 3 years (Preferred) Work Location: In person Job Type: Contractual / Temporary Contract length: 4 months Pay: ₹427,548.90 - ₹815,355.47 per year Ability to commute/relocate: Domlur, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Experience: LookML : 3 years (Preferred) Client handling / Client Demo: 3 years (Preferred) Requirement gathering from Client: 3 years (Preferred) Work Location: In person