Product Designer

Job Title: System Administrator

Location: Remote (Work From Home)

Experience: 1–3 Years

Type: Full-time

About the Role:

We are looking for a proactive and tech-savvy System Administrator with hands-on experience in Zoho CRM/ERP, Google Workspace, and related tools. The ideal candidate is comfortable managing digital systems, handling user accounts, integrating platforms, and ensuring smooth day-to-day operations of the company's tech infrastructure — all remotely.

Key Responsibilities:

• Manage and maintain Zoho CRM/ERP — user setup, configuration, workflows, and troubleshooting
• Administer Google Workspace (Gmail, Gemini, Google Drive, Google Meet, Google Calendar, Google Docs, Sheets) for all team members
• Create, manage, and deactivate user accounts and access permissions across platforms
• Handle integrations between Zoho and third-party platforms including Microsoft, Google, and Amazon Cloud
• Provide technical support to employees for system-related issues and tool onboarding
• Monitor and maintain data integrity, backups, and security across all platforms
• Set up and manage email configurations, filters, and organizational settings
• Coordinate with vendors or tool support teams for issue resolution
• Document system processes, SOPs, and IT policies
• Assist in onboarding new employees with tool access and login setup
• Identify and recommend new tools or process improvements to enhance productivity

Required Skills:

• 1–3 years of proven experience as a System Administrator or IT Support Executive
• Hands-on experience with Zoho CRM/ERP — configuration, workflows, modules, and user management — mandatory
• Strong expertise in Zoho integrations with Microsoft, Google Workspace, and Amazon Cloud — mandatory
• Strong expertise in Google Workspace — Gmail, Gemini, Drive, Meet, Calendar, Docs, Sheets — mandatory
• Basic knowledge of other Zoho tools (Zoho People, Zoho Mail, Zoho Projects) is a plus
• Experience managing user roles, permissions, and access controls
• Good troubleshooting and problem-solving skills
• Ability to work independently in a remote setup
• Strong written and verbal communication skills
• Attention to detail and ability to manage multiple tasks simultaneously

Preferred Qualifications:

• Bachelor's degree in Computer Science, IT, or a related field
• Prior experience working in a remote/virtual work environment
• Familiarity with tools like Slack, Trello, Notion, or similar project management platforms
• Basic knowledge of CRM data migration, reporting, and dashboards

What We Offer:

• Fully remote work from home
• Exposure to diverse digital tools, cloud platforms, and business operations
• Collaborative and growth-oriented work environment
• Growth opportunities based on performance

Required Technical Skill Set

MS Azure, M365, PowerShell

No of Requirements

1

Desired Experience Range

5 to 10 Years

Location of Requirement

Bangalore/Hydrabad

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·        Hands-on experience in Automating solutions in Power shell at L3 level

·        Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation

·        Working knowledge of Microsoft 365 Groups management and support

·        String Experience in M365 License Management

·        Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments

·        Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts)

·        Good understanding of application security, reliability, and performance optimization in cloud environments

·        Excellent problem-solving, collaboration, and communication skills

·        Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions)

Good-to-Have

·        AZ-204

·        Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies

Job Title: IAM & AI Engineer (Identity & Access Management + AI Automation)

Experience: 5–8 Years

Location: Bengaluru (Onsite/Hybrid)

Employment Type: Full-Time / Contract

About the Role

We are seeking a highly skilled IAM & AI Engineer with hands-on experience in Identity & Access Management (IAM), AI/ML technologies, LLMs, Copilot solutions, Agentic AI, and workflow automation. The ideal candidate should have experience designing secure AI-driven solutions while ensuring compliance, governance, and seamless integration with enterprise systems.

Mandatory Skills

• Identity & Access Management (IAM)
• AI/ML, Large Language Models (LLMs)
• Microsoft Copilot / GitHub Copilot / AI Copilot Solutions
• Agentic AI Frameworks (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or equivalent)
• Workflow Automation using APIs, Scripts, Connectors
• REST APIs & Webhooks
• Python or PowerShell Scripting
• Privileged Access Management (PAM)
• ServiceNow (ITSM)
• AI Security, Compliance & Data Governance
• Experience building AI-powered products or enterprise AI solutions

Key Responsibilities

• Design, implement, and manage enterprise Identity & Access Management (IAM) solutions.
• Develop AI-powered assistants, Copilots, and Agentic AI workflows for enterprise automation.
• Build secure integrations using REST APIs, webhooks, connectors, and scripting.
• Automate IT and business processes using AI, APIs, and workflow orchestration tools.
• Implement and manage Privileged Access Management (PAM) solutions.
• Integrate IAM workflows with ServiceNow for identity lifecycle management.
• Develop AI-enabled automation for user provisioning, access reviews, and approval workflows.
• Ensure AI applications comply with enterprise security, privacy, and governance standards.
• Implement AI security controls, prompt security, data protection, and model governance.
• Collaborate with security, infrastructure, cloud, and application teams to deliver scalable AI solutions.
• Monitor, troubleshoot, and optimize AI and IAM platforms.
• Create technical documentation, deployment guides, and best practices.

Required Experience

• 5–8 years of experience in Identity & Access Management (IAM).
• Hands-on experience with Azure AD (Microsoft Entra ID), Okta, SailPoint, Ping Identity, ForgeRock, CyberArk, or similar IAM/PAM platforms.
• Experience building AI applications using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
• Practical experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent Agentic AI frameworks.
• Strong knowledge of REST APIs, authentication protocols (OAuth 2.0, OpenID Connect, SAML, JWT), and workflow automation.
• Experience integrating AI solutions with enterprise systems such as ServiceNow, Microsoft 365, Azure, AWS, or GCP.
• Experience implementing AI governance, compliance, responsible AI practices, and secure AI deployment.
• Strong understanding of cloud security, Zero Trust, RBAC, ABAC, and least-privilege access models.

Preferred Skills

• Microsoft Azure AI / Azure OpenAI Services
• Microsoft Power Platform (Power Automate)
• AWS or Azure Cloud Security
• Kubernetes & Docker
• CI/CD Pipelines
• RAG (Retrieval-Augmented Generation)
• Vector Databases (Pinecone, Chroma, FAISS, Azure AI Search)
• Prompt Engineering and AI Evaluation
• DevSecOps practices

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
• Relevant certifications are a plus:
• Microsoft Certified: Identity and Access Administrator Associate
• Microsoft Certified: Azure AI Engineer Associate
• Okta Certified Professional
• SailPoint IdentityIQ
• CyberArk Defender/Sentry
• SC-300, AZ-104, AI-102

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job description

Job Title: Business Development Executive (Antivirus/Cyber Security/ End Point Security/ MDM)

Location: Ahmedabad, Baroda, Rajkot.

Responsibilities:

Distribute IT Network Security Products, Endpoint Security, DLP, Software, Desktop/Laptop sales, and Networking Products through Channel Partners.

Identify and pursue new business opportunities in the assigned region.

Conduct market research to understand industry trends and competitor activities.

Achieve sales targets and contribute to the overall growth of the business.

Collaborate with internal teams to develop effective sales strategies.

Provide excellent customer service and address client needs.

Prepare and deliver presentations to prospective clients.

Requirements:

Proven experience in business development or sales.

Strong communication and negotiation skills.

Knowledge of the local market in Ahmedabad, Baroda, and Rajkot.

Ability to work independently and as part of a team.

Results-oriented with a focus on achieving sales targets.

Qualifications :

- Graduate/BE/BSc.IT/BCA.

- Minimum 4 years of experience in IT Channel Network Distributing products and solutions.

Salary Range : Best in the Industry

Job Types: Full-time, Permanent

Responsibilities:

• Develop, in consultation with the Head of Marketing, quarterly marketing campaign calendar for assigned product line(s).
• Responsible for execution of the approved marketing calendar.
• Collect and report data on the efficacy of the different marketing campaigns.
• Work with partners (visual designer, content writer, etc.) to develop the required collateral.
• Investigate, evaluate and propose unexplored channels to increase the reach and efficiency of the marketing efforts.
• Occasionally, represent the company at on-ground or digital events - trade shows, conferences, etc.

Prior experience:

• Current 2-3 years as a full time marketer (not as a sales or pre sales or telesales professional who developed some collateral). Overall professional experience, ideally, up to 5 years.
• Exposure to social media advertising is necessary; specifically, hands-on experience of having set up, tracked and optimized LinkedIn campaigns.
• Should/could have worked either for a product principal or an advertising agency.
• B2B marketing experience is a definite plus. 

Skills/Other Requirements

• Native-level verbal and written English language proficiency.
• Willingness to regularly, if not daily, work from the Bangalore office

Are you someone with a strong technology leadership background?

At Solutionec, we are looking for a Solution Architect professional who will work on complex and critical technology programs. Also, this role will allow you to engage in new and emerging technology and play an active role in Solutionec’s journey to the cloud.

In close partnership with business and IT partners, you will provide technical leadership and vision, authoring multi-year architecture roadmaps, and actively promoting opportunities to optimize, consolidate, reuse, and simplify. You will author actionable architecture solutions that achieve business goals, align with Solutionec technology strategy, and promote standard methodologies in design and architecture.

• 10+ years’ experience which include analysis, design, architecture, and development along with leadership skills
• Experience with Java/ C/Python is a must.
• Experience hands on full stack architect with deep expertise in architecture design tools and in open source technologies/frameworks such as PostgreSQL, Ceph, Memcached, Redis, MongoDB, Nginx, Tomcat, Apache, angular/react, nodejs, spring boot
• Experience with TSQL/SSRS/SSIS/SSAS/Informatica
• Experience leading multiple, full lifecycle, large-scale Data Migration Projects
• PostgreSQL Database Administrator with proven experience in large scale data migration from SQL Server to PostgreSQL
• Experience with complex end to end Cloud migrations to AWS/Azure
• Experience in cloud technologies including designing solutions that use AWS services such as EKS, RDS, S3, ALB, CloudWatch, ElastiCache and Lambda
• Experience in the consulting field with excellent leadership, customer service, oral and written skills, project pricing, and presentation skills
• Certified Solutions Architect with one of the major cloud providers will be a plus
• Experience with healthcare a plus