Techno Functional BA

About the Role

We are looking for a skilled SQL Server DBA with 4–5 years of experience in SQL Server database administration, performance tuning, and enterprise data integration. The ideal candidate should have hands-on experience working with Product Lifecycle Management (PLM) systems, ERP integrations, and data bridge solutions to enable seamless data exchange between enterprise applications.

Key Responsibilities

· Administer, monitor, and maintain Microsoft SQL Server databases to ensure high availability, security, and performance.

· Design, implement, and support PLM–ERP data bridge solutions for seamless integration between Product Lifecycle Management and ERP systems.

· Develop and optimize SQL queries, stored procedures, views, triggers, and database objects.

· Monitor database performance and perform query optimization, indexing, and troubleshooting.

· Design and implement database backup, recovery, disaster recovery, and high availability strategies.

· Build and maintain ETL processes and data synchronization workflows between PLM, ERP, and other enterprise applications. 

· Collaborate with application development teams to support database design and application deployments.

· Perform database migrations, upgrades, patching, and environment maintenance.

· Ensure database security, user management, and compliance with organizational standards.

· Create and maintain technical documentation, database architecture, and operational procedures. 

Required Skills & Experience

· 4–5 years of hands-on experience as a SQL Server DBA.

· Strong expertise in Microsoft SQL Server (2016/2019/2022 or later).

· Excellent knowledge of SQL, T-SQL, Stored Procedures, Functions, Triggers, Views, and Performance Tuning.

· Experience in database backup, restore, replication, indexing, and high availability (Always On, Log Shipping, Replication).

· Hands-on experience working with Product Lifecycle Management (PLM) systems.

· Experience implementing or supporting PLM–ERP data bridge/integration solutions.

· Knowledge of ERP systems such as SAP, Oracle E-Business Suite, Microsoft Dynamics, Infor, or similar platforms.

· Experience with ETL tools and enterprise data integration.

· Strong troubleshooting and root cause analysis skills. 

Preferred Skills

· Experience with Teamcenter, Windchill, Enovia, Arena PLM, or similar PLM platforms.

· Knowledge of SSIS, SSRS, and SSAS.

· Experience with PowerShell or Python scripting for database automation.

· Exposure to Azure SQL Database or cloud-based SQL environments. 

· Understanding of manufacturing, engineering, or product development processes.

· Familiarity with CI/CD and DevOps practices. 

Educational Qualification

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

· Strong analytical and problem-solving skills.

· Excellent communication and stakeholder management abilities.

· Ability to work independently in a remote environment.

· Strong attention to detail and commitment to database reliability and performance.

· Ability to manage multiple priorities in a fast-paced environment.

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Primary Skills

• Observability: ELK (Elasticsearch/Kibana), Prometheus, Grafana, PromQL
• Automation: Java/Vert.x or Python (FastAPI), Shell/Bash, REST/SOAP APIs
• Cloud & Platform: Docker, Kubernetes, Kafka, Redis
• Reliability Engineering: Distributed Systems, Microservices, Event-Driven Architecture, DR & Incident Management
• Stakeholder Management & Cross-functional Collaboration

Secondary Skills

• Agentic AI: LangChain, LangGraph, RAG, MCP
• LLM Integration & AI Frameworks
• Python (FastAPI)

Key Responsibilities

• Build and deploy LLM-powered Agentic AI solutions with tool calling and autonomous workflows.
• Integrate AI capabilities into existing applications using modern AI frameworks.
• Own platform reliability through SLAs, SLOs, error budgets, MTTD/MTTR, and operational governance.
• Enhance observability using ELK, Prometheus, Grafana, and advanced alerting.
• Lead incident response, RCA, disaster recovery, and resiliency initiatives.
• Drive production readiness, automation, platform stability, and infrastructure optimization.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

About the Role

We are looking for a Senior Performance Marketing Specialist who will independently own MyOperator's paid acquisition strategy across Google, Meta, and LinkedIn. This is not an execution-support role. You will be the primary strategic and operational owner of performance marketing, responsible for designing campaign architecture, optimizing funnel journeys, and driving down cost per qualified lead and CAC while scaling pipeline volume.

You will work directly with the Marketing Head and operate with high autonomy. The expectation is that you bring both the strategic thinking to identify where and how to invest, and the hands-on depth to act on it without needing to hand off to an executor.

Key Responsibility Areas

• Design and own paid acquisition strategy across Google Ads, Meta, and LinkedIn, including campaign architecture, audience segmentation, bidding strategy, and budget allocation across channels.
• Drive reduction in CPQL (cost per qualified lead) and CAC through continuous experimentation with creatives, landing pages, targeting parameters, and funnel touchpoints.
• Scale qualified lead volume by identifying high-performing audience segments, channel combinations, and conversion triggers specific to B2B SaaS buying behavior.
• Build and maintain full-funnel attribution using Google Tag Manager and GA4, ensuring accurate tracking of lead quality from click to closed revenue.
• Analyze funnel drop-off points across the acquisition journey and execute conversion rate optimization interventions with documented hypotheses and results.
• Develop a structured experimentation roadmap covering A/B tests, creative variants, and offer testing, and translate results into channel strategy decisions.
• Report on performance against pipeline and efficiency targets weekly, with clear recommendations rather than data readouts alone.

Requirements - Must Have

• 3 to 5 years of hands-on performance marketing experience in a B2B SaaS or technology product company.
• Demonstrated ownership of Google Ads and Meta Ads campaigns with measurable outcomes on CPQL, CAC, or ROAS, verifiable via portfolio, case studies, or interview.
• Working proficiency in GTM and GA4 for event tracking, funnel analysis, and attribution setup.
• Proven ability to independently design and execute campaign strategy without relying on a manager to define priorities or approaches.
• Experience running structured A/B or multivariate experiments on paid channels and translating results into strategy changes.

Requirements - Good to Have

• Experience with LinkedIn Ads for B2B demand generation targeting mid-market or enterprise segments.
• Familiarity with AI-assisted campaign optimization tools or automation layers within Google and Meta platforms.
• Exposure to CRM integration with ad platforms such as HubSpot or Salesforce audience sync and offline conversion imports.
• Prior experience marketing a SaaS product to SMB or mid-market buyers in India.
• Knowledge of intent-based targeting, retargeting architecture, or ABM frameworks for B2B pipelines.

This Profile is Not For

• Candidates who have only executed campaigns under direction and have not independently owned strategy, budget decisions, or performance targets.
• Candidates whose primary background is in brand, content, or organic marketing with limited hands-on paid media depth.
• Candidates looking for a role where performance marketing is one part of a broader generalist mandate.

Job Description: Assistant Administrator

Job Summary

We are looking for a detail-oriented and organized Assistant Administrator to join our team. You will provide high-level administrative support, manage daily office operations, and assist the senior management team. Advanced proficiency in office technology is a mandatory requirement for this role.

Key Responsibilities

• Administrative Support: Manage executive calendars, schedule meetings, and coordinate travel arrangements.
• Documentation: Prepare, edit, and format reports, presentations, and official correspondence.
• Office Operations: Oversee office supplies inventory, coordinate with vendors, and ensure the workspace remains organized.
• Communication: Act as a point of contact for internal/external stakeholders via email and professional communication platforms.
• Data Management: Maintain and update digital filing systems, ensuring data privacy and efficient retrieval.

Mandatory Computer Skills & Qualifications

Candidates must demonstrate expert-level proficiency in the following areas to be considered:

• Advanced Microsoft Office Suite: Mastery of Excel (vlookup, pivot tables, formulas), Word (advanced formatting), and PowerPoint.
• Google Workspace: Full proficiency in Gmail, Drive, Docs, Sheets, and Calendar.
• Digital Communication: Experience with professional tools such as Slack, Microsoft Teams, or Zoom.
• Fast & Accurate Typing: Minimum typing speed of 50+ WPM with high accuracy.
• File Management: Strong understanding of cloud storage (Dropbox, OneDrive) and digital organizational structures.
• Troubleshooting: Ability to handle basic office tech issues (printer setup, software updates, connectivity).

General Requirements

• Experience: 1–3 years in an administrative or clerical role.
• Organization: Excellent time-management skills and the ability to prioritize tasks.
• Professionalism: High level of discretion and confidentiality.

Key Responsibilities:

• Deliver hands-on training in Core Java, Advanced Java (JSP/Servlets), and frameworks (Spring, Hibernate).
• Design and update course content based on industry trends.
• Conduct assessments, code reviews, and provide personalized feedback.
• Mentor students/professionals in real-world Java applications.

Requirements:

• Strong expertise in Java, OOPs, JDBC, and Spring Framework.
• Prior experience in technical training or mentoring.
• Excellent communication and presentation skills.

This is a full-time on-site role for a Business Development Manager responsible for identifying potential clients, building relationships, and closing deals in Mumbai. The Business Development Manager will generate leads, drive sales growth, and build relationships with prospective clients to achieve company targets. They will collaborate with the marketing team and provide strategic sales and marketing inputs to improve sales performance.

Qualifications

• Excellent verbal and written communication skills
• Strong problem-solving and decision-making skills
• Demonstrated experience in building relationships with key stakeholders and closing sales deals
• Understanding of market trends and competition
• Good organizational and time management skills
• Experience in the cloud-based and/or data protection industry is preferred
• Bachelor's degree in Business, Marketing, or related fields
• Proficient in MS Office and CRM software

Job Description

We are hiring full-stack developers for luxury-commerce platform that is well-funded and is now ready for its next level of growth. It is backed by reputed investors and is already a leader in its space. The focus for the coming years will be heavily on scaling the platform through technology.  Market-driven competitive salary for the right candidate

Roles & Responsibilities:

• Work with the Business Teams & Product Managers, understand the requirements and design the technical architecture and implement it
• Build the code independently according to the technical specifications, detailed design, maintainability, and coding and efficiency standards
• Create a technical design from Functional Design Doc / Requirements Doc and be able to troubleshoot with debugging skills
• Own product and its features from conception to delivery.

Qualifications:

• Proficiency in Node JS, and React JS.
• Hands on experience in developing customer facing Node JS based applications is a must.
• Knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Familiarity with datastores such as MySQL, Oracle, Redis, and Solr/Elasticsearch.
• Knowledge of logging frameworks such as fluentd, logstash etc.
• Knowledge of Containerization (Docker, Kubernetes etc.) will be an advantage
• Writing and utilizing RESTful API services and performance tuning web applications
• Experience with cloud providers such as AWS, Azure etc.
• Passion for building & scaling consumer-facing products.
• Attention to detail, good communication and organizational skills