LEAD DATA SECURITY SOLUTION ENGINEER

As a Solutions Engineer/Sales Engineer, you will act as a trusted technical advisor to prospective customers in the US market. You will own the technical evaluation journey end-to-end, from the first discovery call to closing the deal, by demonstrating how our platform solves real-world data integration challenges. This role involves working closely with global customers (primarily North America ), designing scalable architectures, running tailored product demos, and building proofs-of-concept that showcase value.

Responsibilities:

• Run technical discovery calls with Heads of Data, Data Engineering Managers, and CTOs to understand their stack, pain points, and constraints. These are global conversations, primarily with customers in North America and Europe, and you will own them end-to-end.
• Design and present reference architectures showing how Hevo fits into their existing data stack (e. g., Salesforce, Postgres, GA4 Snowflake, dbt).
• Run live product demos tailored to the customer's stack. These are not scripted walkthroughs. You will need to read the room, adapt on the fly, and handle unexpected technical questions with confidence.
• Own the technical evaluation from the first conversation to the closed deal by addressing deep technical questions and earning trust with engineering teams.
• Build proofs-of-concept by configuring real pipelines from source systems (Salesforce, Outreach, Postgres, MySQL) into destinations like Snowflake or BigQuery.
• Develop deep expertise in the data integration landscape, including native solutions from AWS, GCP, and Azure (AWS Glue, Azure Data Factory, Google Cloud Dataflow) as well as other data pipeline and integration platforms, and articulate Hevo's technical advantages in a way that lands with both technical and non-technical buyers.
• Partner with Account Executives to drive technical wins and with Customer Success to ensure smooth handoffs after a deal closes.
• Share customer feedback and patterns with Product and Engineering to influence the roadmap.

Requirements:

• 2 to 6 years of hands-on experience as a Data engineer, Analytics engineer, ETL/ELT developer, or Data warehouse engineer.
• Experience building and operating real data pipelines in production, including handling source schema changes, failures, and reliability issues.
• Strong fundamentals in SQL and at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).
• Experience with at least one orchestration or transformation tool (Airflow, dbt, or similar).
• Exceptional communication and presentation skills.
• This is non-negotiable. You will be the face of Hevo's technical capability to a global customer base. That means:
• Your spoken English is clear, confident, and easy to follow for an international audience.
• You are comfortable presenting to groups of 5 to 15 people, including senior technical leaders, over video calls.
• You can structure a technical narrative, not just answer questions but guide a conversation toward the right conclusion.
• You can hold your own when a customer pushes back or challenges your recommendation.
• You have presented or demoed something technical to an audience before, in any context: internal reviews, client calls, meetups, or conferences.
• Genuine interest in customer-facing work, even if you have not done it formally before.

Good to have:

• Experience with CDC tools or data integration platforms, whether cloud-native (AWS Glue, Azure Data Factory, or Google Cloud Dataflow) or third-party pipeline and integration tools.
• Exposure to multiple source system types such as CRMs, ad platforms, SaaS APIs, and OLTP databases.
• Public technical writing, conference talks, or open-source contributions.
• Prior experience in customer conversations, even informally. For example, presenting to internal stakeholders or analytics teams or working with international teams across time zones.

About Us

CLOUDSUFI is a Silicon Valley-based specialist Data Engineering & Cloud Technologies player with top-tier clients, favorable revenue mix, strong financial performance, and robust management. We pride ourselves in helping in the Data Discovery, Insights and Monetization for organizations. We offer quality of work, opportunities to learn new platforms/technologies that will help young engineers put themselves ahead in their careers compared to their peers in the IT Services industry. CLOUDSUFI is a Data Science and Product Engineering company building Products/Solutions for Technology and Enterprise industries leveraging the advent of Cloud Hyper Scalers and AI/ML, NLP technologies.

The organization is built to scale with strong external/ internal tech capabilities and governance standards. Started in 2019, CLOUDUSUFI is a family of 250 members working towards a common goal of making the enterprise data dance.

To know more, please visit https://cloudsufi.com

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Role : Full-Time Individual Contributor (IC)

Reporting to : Solution Architect / Program Manager

Location : India Remote (Quarterly visits to Noida office)

Shift : 2PM-11PM IST

12x5 (On call duty)

Experience : 8-14 Years

ABOUT YOU

• 5+ years’ experience with AWS orchestration via Terraform script
• 5+ years’ experience with CloudWatch/CloudTrail/Guard Duty
• 5+ years’ experience with AWS WAF
• 4+ years’ experience with CloudFlare
• 3+ years’ experience with DataDog
• Experience with PagerDuty
• Ability to make nuanced threat assessments
• Experience in SOPHOS.
• Significant experience with PCI, SOC2, SOX, HIPAA, or other compliance regimes
• Experience in Infrastructure As Code – Ansible / Terraform/ CloudFormation
• Hands-on experience implementing various security tools in CI/CD pipeline
• Strong experience with any cloud service provider (AWS Preferred)
• Implement and oversee technological upgrades, improvements and major changes to the cloud security environment.
• Develop solutions, install/configure/integrate IT tools and security processes within an application or organization to help improve the overall IT security posture.
• Set up Static and Dynamic Code Analysis tools, review the results and explain any gaps and potential impact to the teams (development and operations).
• Penetration testing and container security.
• Evaluate and analyze threat, vulnerability, impact and risk to security issues discovered from security assessments.
• Assess current technology architecture for vulnerabilities, weaknesses and for possible upgrades or improvement
• Creating and managing security strategies
• Oversee information security audits, whether performed by organization or third-party personnel
• Develop, maintain and publish up-to-date information security policies, standards and guidelines.
• Preferred Certification - AWS Security/CISSP/CISM (Certified Information Security Manager)

ABOUT THE ROLE

• Work independently with vendors and collaborate with colleagues
• Experience negotiating remediation timelines and/or remediate found issues independently
• Ability to implement vendor platforms within CI/CD pipelines
• Experience managing/responding to incidents, collecting evidence, and making decisions.
• Working with vendors and HM Teams to deploy criteria within WAF and fine tuning it according to applications’ needs
• Multitasking and continuous ability to provide a high level of concentration for assigned projects.
• Good working knowledge of AWS security in general and familiarity of the AWS native security tools
• The candidate should be experienced and articulate, who is not going to get discouraged, despite meeting roadblocks, and will continue promoting security within the company.
• Ability to create DevSecOps security requirements while working on a project
• Ability to articulate security requirements during the Architecture meetings and working hand in hand with HM Applications and DevOps Principal Engineers

1. Company Description:

Tatvic, is a marketing analytics company focusing on generating insights from data using long association with Google & its infrastructure. We breed,recognize and reward performance. As a company we are growing very fast & we are under transformation. To enable this transformation we need future leaders with eyesight which balances execution & strategic understanding.

Website: www.tatvic.com

2. Role Details

• Role: Lead Data Engineer
• Band: L4
• Department: Data Engineering
• Reporting to: L5 / Head of Delivery
• Location: Ahmedabad
• Job Type: Full Time
• Experience: 6-8 years of relevant experience
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.

3. Mission & Role Overview

• Mission: To create high-level organizational impact by leading a team to design and deliver scalable, high-performance cloud-native data solutions. The Lead Data Engineer (L4) is responsible for ensuring technical excellence—specifically in BigQuery optimization and secure GCP/AWS architectures—while driving the transition to Agentic AI workflows and creating value through the development of L1-L3 engineers.
• Role Overview: This is a pivotal leadership role on the Management Track, responsible for end-to-end data outcomes for the function. The Lead Engineer ensures the quality of engineering execution, manages team utilization and resource allocation, and serves as the primary technical representative in cross-functional forums with Marketing, Strategy, and Product teams.

4. Key Responsibilities

• Lead the design, development, and deployment of scalable and efficient cloud-based data pipelines and architectures.
• Build reusable data solutions and software components that serve multiple customers and use cases.
• Architect cloud environments using GCP, ensuring best practices in IAM, Security, and Networking.
• Conduct Exploratory Data Analysis (EDA) on clickstream and behavioral datasets to derive insights.
• Manage end-to-end ETL processes, including data extraction, transformation, and loading using Python, SQL, and Airflow.
• Design and build production-grade software (APIs, services, internal tools) with sound engineering practices — version control, testing, CI/CD, and code review.
• Extend data platforms with AI capabilities — integrating LLMs, RAG pipelines, and agentic workflows where they add clear business value.
• Perform Root Cause Analysis (RCA) and resolve data quality, pipeline, or application issues.
• Collaborate cross-functionally with Marketing, Insights, Product, and Engineering teams to align data initiatives with business goals.
• Document architectures, design decisions, and operations clearly and consistently.
• Coach and mentor team members, ensuring technical excellence and continuous learning.
• Participate in recruitment and knowledge-sharing through interviews, blogs, and webinars.

5. Must-Have & Good-to-Have Skills

Must-Have Skills:

• Strong understanding of clickstream data and data pipeline architecture
• Hands-on experience with cloud platforms (GCP)
• Expertise in SQL, Python, and Airflow
• Solid software engineering foundation — API design, testing, version control, and deployment practices
• Proven ability to perform exploratory data analysis and data validation
• Knowledge of cloud security, IAM, and networking best practices
• Working knowledge of building or integrating AI/LLM-based components into existing systems
• Excellent problem-solving, stakeholder management, and communication skills

Good-to-Have Skills:

• Certifications such as: Google Cloud Professional Data Engineer / Cloud Architect
• AWS Certified Data Analytics or Azure Data Engineer Associate
• Google Analytics 4 (GAIQ)
• Experience in marketing attribution, commerce data, or analytics ecosystems
• Exposure to cost optimization and cloud resource management
• Experience with agent frameworks (LangChain, ADK, MCP) or LLM APIs
• Experience building automation frameworks or internal data tools

6. Not-a-Fit Criteria

• Individual Contributor Focus: Operates as the team's best individual contributor instead of building team capability or empowering L3s.
• Information Hoarding: Keeps architectural patterns or tribal knowledge trapped in their head rather than creating reusable playbooks and documentation.
• Avoidance of Conflict: Avoids difficult performance conversations with underperforming team members, allowing capability gaps to persist.
• Activity Over Outcomes: Measures success by "tasks completed" rather than pipeline stability, data accuracy, or business impact.
• Functional Siloing: Fails to build partnerships with Marketing or Product teams, leading to misaligned data delivery.

Our Culture & Perks - Where Passion Meets Purpose:

• Competitive CTC: Based on experience and skillset
• Medical Insurance for you and your family
• Return-to-Work Program for New Moms — because career breaks shouldn’t break momentum
• 1 Work From Home Day/Month — flexibility when life calls
• 2 Birthday Leaves/Year — one for you, one for someone you love
• Monthly Engagement Activities — from game nights to learning sessions
• Inclusive Culture & Equal Opportunity Employer — diversity drives our innovation
• We Think Like Engineers & Athletes: we build, we iterate, we scale, we win — together
• 5-day workweek — because balance drives brilliance

Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

·         Infrastructure as Code: Terraform, Ansible

·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

Position: Technical Lead – Forcepoint (Data & Cloud Security)

Company: Inflow Technologies

Location: Bangalore

Work Mode: Work From Office | 5 days/week

Experience Required: Minimum 6 years

Interview Process: 2 rounds (Virtual + Final Face-to-Face)

About Inflow Technologies

Founded in 2005, Inflow is a value-added IT infrastructure distributor covering Networking, Cybersecurity, UC&C, AIDC, Surveillance, Server, Storage & Software across India/South Asia. HQ'd in Bangalore with 20+ locations, backed by a 120+ certified technical team, and ~USD 700M+ annual run-rate revenue.

Position Overview

Acting as the Forcepoint subject matter expert, this role owns end-to-end design, deployment, and troubleshooting of enterprise data and cloud security architectures — spanning DLP, SWG, CASB, and SSE/ZTNA. The role sits at the intersection of solution architecture and hands-on L3 execution: defining security policies, configuring network proxies, and resolving complex support escalations in a client-facing, consultative capacity.

Core Products

• Forcepoint DLP (Endpoint, Network, Web, Email)
• Forcepoint Web Security
• Forcepoint Email Security
• Forcepoint CASB
• Forcepoint Suite / Forcepoint One
• Forcepoint Cloud Security / SSE (incl. ZTNA)
• Forcepoint DSPM

Key Responsibilities

1. Solution Design & Architecture

• Design enterprise architectures: DLP (Endpoint + Network + Discovery), Web Security (Proxy/Hybrid/Cloud), CASB & SaaS protection, Forcepoint Suite/One
• Install & configure Management Server, Policy Engine, Detection Servers, Protectors (Email/Web/Network), Endpoint agents (Windows/Mac)
• Implement EDM/IDM/OCR and data classification policies

2. Web Security (SWG)

• Deploy on-prem (V-series appliances) and cloud SWG/hybrid mode
• Configure transparent/explicit proxy, SSL inspection, URL filtering

3. Email Security

• Configure SMTP routing, DLP email policies, encryption & compliance rules

4. Advanced Policy Configuration

• Design/tune DLP policies (structured + unstructured data), web filtering (user/group/app-based), cloud app governance rules

5. L3 Troubleshooting & RCA (Critical)

• Handle: DLP not detecting over HTTPS, endpoint agent communication failures, web proxy latency/SSL failures, policy not applying to users, email DLP bypass
• Approach: log analysis (Policy Engine, endpoint, web), packet capture/traffic analysis, root cause identification & permanent fix

Qualifications & Certifications (Preferred)

• Bachelor's degree (IT/CS or related)
• Forcepoint Certified Administrator (FCA)
• Forcepoint DLP Specialist
• CCNA / Security+ (nice-to-have)

Job Title: Technical Consultant – Netskope & SSE (L3 Engineer)

Company: Inflow Technologies

Location: Bangalore (Work From Office, 5 days/week)

About Inflow Technologies:

Inflow Technologies, founded in 2005 and headquartered in Bangalore, is a leading value-added IT infrastructure distributor across Networking, Cybersecurity, Unified Communications, AIDC, Surveillance, Server, Storage, and Software. With 20+ locations across India/South Asia and a 120+ member certified technical team, Inflow supports channel partners through the full solution sales cycle. Annual run-rate revenue: USD 700+ Million.

Position Overview:

We're looking for an experienced Technical Consultant (L3 Engineer) specializing in Netskope and Security Service Edge (SSE) technologies. You'll own end-to-end architecture, design, deployment, and optimization of cloud security solutions — acting as a trusted advisor who translates business requirements into secure, scalable technical architectures, and resolves advanced issues through root cause analysis.

Key Responsibilities:

Implementation & Deployment

• Deploy Netskope CASB (API + Proxy), SWG, DLP (Email/Web/Network), ZTNA (Private Access), NPA, and Prime Advantage package
• Configure traffic steering (Client, GRE, IPsec), policy rules (DLP, URL filtering, access control), and dashboard fine-tuning
• Perform agent rollout across Windows, Mac, and Mobile

Architecture & Design

• Design a secure access architecture for remote users, branch offices, and cloud workloads
• Integrate with identity providers (Azure AD, Okta) and existing security stack (Firewall, Proxy, SIEM)
• Integrate Netskope with SIEM (Splunk, QRadar), EDR tools, and email security
• Configure SSO/SAML authentication

Required Qualifications:

• Bachelor's degree in IT/CS or related field
• 6–8 years of experience (L3 level)
• Preferred certifications: Netskope Certified Cloud Security Architect (NCSA), NSK 100/200/300, CCNA/Security+ (good to have)

Interview Process: 2 rounds (Virtual) + Final round (Face-to-Face)

Key Skills:

Python & System Design: Strong expertise in Python and system design, with proven experience architecting scalable, production-grade systems.

LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.

Cloud & Data Architecture: Deep understanding of data and cloud architecture across AWS and Azure, including multi-store data design, distributed systems, streaming, security, and cost optimization.

Azure Databricks: Hands-on production experience with Azure Databricks architecture, including Unity Catalog, Delta Lake, cluster policy design, job orchestration, and Terraform provisioning.

Supply Chain & Inventory Management: Strong domain knowledge of supply chain and inventory operations, including demand planning, MRP logic, inventory parameters, and translating business planning decisions into data requirements.

System Architecture & Technical Decision-Making: Ability to make sound architectural decisions based on first principles, evaluate technical trade-offs, and avoid unnecessary complexity and abstraction.

LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.

Technical Leadership: Ability to influence teams without direct authority, establish technical standards, prepare technical specifications and documentation, and mentor team members.

Experience in pharmaceutical or regulated industries is highly valued.

GCP Data Engineering Lead

Experience: 9+ Years

Lead Experience: 2+ Years

Location: Bangalore / Hyderabad

Key Skills:

• Strong experience in GCP Data Engineering and BigQuery
• Hands-on experience with Oracle Exadata / PL-SQL
• Strong knowledge of PySpark / Scala and Python
• Experience with GoldenGate, Kafka and CDC
• Hands-on experience with Apache Airflow
• Good experience in CI/CD and DevOps practices
• Experience with Terraform / Infrastructure as Code
• Exposure to AI/LLM technologies and GenAI solutions
• Strong understanding of data architecture, ETL/ELT and data pipelines

Roles & Responsibilities:

• Lead the design and development of scalable GCP data engineering solutions.
• Design and implement batch and real-time data pipelines using BigQuery, PySpark, Kafka/CDC and Airflow.
• Work with Oracle Exadata/PL-SQL and GoldenGate for data integration and migration.
• Implement CI/CD pipelines and infrastructure automation using Terraform.
• Explore and integrate AI/LLM capabilities into data engineering solutions.
• Lead technical discussions, code reviews, solution design and mentor team members.
• Collaborate with business and technical teams to deliver high-quality data solutions.

📢 We're Hiring | Cybersecurity Consultant | Gurugram

Role: Cybersecurity Consultant

Experience: 7+ Years

Location: Gurugram, Haryana

We are looking for experienced cybersecurity professionals with strong hands-on expertise in security operations, infrastructure security, vulnerability management and incident response.

🔹 Key Responsibilities

• Manage and strengthen security controls across enterprise IT infrastructure.
• Perform vulnerability assessments, remediation tracking and patch management.
• Monitor security alerts, investigate incidents and support threat hunting.
• Implement and manage SIEM, EDR and endpoint security solutions.
• Work on IAM controls, including MFA, SSO, RBAC and privileged access management.
• Support network security, including firewalls, IDS/IPS, segmentation and secure remote access.
• Assist with backup, recovery, disaster recovery and business continuity activities.
• Maintain security documentation, remediation evidence and audit compliance.

🔹 Required Skills

• 7+ years of relevant experience in cybersecurity, security engineering or security operations.
• Hands-on experience with SIEM tools such as Microsoft Sentinel, Splunk, QRadar or ArcSight.
• Knowledge of Microsoft security technologies, including Defender and Entra ID, is preferred.
• Experience with vulnerability management tools such as Tenable, Qualys or CrowdStrike Falcon.
• Strong understanding of incident response, threat hunting, network security and security remediation.
• Experience with EDR, IAM and enterprise security controls.

⭐ Preferred: OT/ICS security, IEC 62443, NIST frameworks, backup/DR and network segmentation experience.

📩 Interested candidates: Please share your updated cv at: snigdhaattheratebeanhr.com

About the Role

We are looking for a Solution Architect with 10–15 years of experience to design scalable, secure, and cloud-ready solutions. The role involves working with customers, Senior Solution Architects, business analysts, project managers, and engineering teams across cloud, modernization, microservices, integration, and digital transformation initiatives.

Must Have Skills

• 10–15 years of experience in software development, architecture, and enterprise application delivery.
• Strong experience with Azure and/or AWS and cloud-native architecture.
• Hands-on experience with Microservices, REST APIs, SOA, and system integration.
• Experience in application modernization and cloud migration.
• Knowledge of Docker, Kubernetes, CI/CD, and Infrastructure as Code.
• Understanding of cloud security, IAM, networking, monitoring, and disaster recovery.
• Ability to create architecture diagrams, solution designs, and technical documentation.
• Strong analytical, communication, and customer-facing skills.

Good To Have Skills

• AWS/Azure certifications.
• Experience with Serverless, Event-Driven Architecture, Messaging, and API Management.
• Exposure to SaaS / Multi-Tenant Architecture.
• Knowledge of Generative AI and AI-enabled solutions.
• Experience with pre-sales, POCs, estimations, and technical proposals.
• Exposure to application security and compliance.
• Experience working with global customers and distributed teams.

Responsibilities

• Design end-to-end solutions and independently own defined architecture workstreams.
• Translate business and technical requirements into application, cloud, integration, and deployment designs.
• Define microservice, API, integration, and data-flow architectures.
• Guide engineering teams on architecture implementation and conduct design/code reviews.
• Contribute to cloud migration, modernization, and digital transformation initiatives.
• Participate in customer workshops, technical discussions, POCs, and solution demonstrations.
• Identify and address architectural, performance, security, and technical risks.
• Ensure solutions follow defined architecture, security, and engineering standards.
• Work closely with the Senior Solution Architect on complex and strategic engagements.
• Develop reusable architecture patterns, templates, and technical accelerators

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