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SENIOR INFORMATION SECURITY ENGINEER (DEVSECOPS)

Key Skills: Software Development Life Cycle (SDLC), CI/CD

About Company: Consumer Internet / E-Commerce

Company Size: Mid-Sized

Experience Required: 6 - 10 years

Working Days: 5 days/week

Office Location: Bengaluru [Karnataka]

Review Criteria:

Mandatory:

• Strong DevSecOps profile
• Must have 5+ years of hands-on experience in Information Security, with a primary focus on cloud security across AWS, Azure, and GCP environments.
• Must have strong practical experience working with Cloud Security Posture Management (CSPM) tools such as Prisma Cloud, Wiz, or Orca along with SIEM / IDS / IPS platforms
• Must have proven experience in securing Kubernetes and containerized environments including image security,runtime protection, RBAC, and network policies.
• Must have hands-on experience integrating security within CI/CD pipelines using tools such as Snyk, GitHub Advanced Security,or equivalent security scanning solutions.
• Must have solid understanding of core security domains including network security, encryption, identity and access management key management, and security governance including cloud-native security services like GuardDuty, Azure Security Center etc
• Must have practical experience with Application Security Testing tools including SAST, DAST, and SCA in real production environments
• Must have hands-on experience with security monitoring, incident response, alert investigation, root-cause analysis (RCA), and managing VAPT / penetration testing activities
• Must have experience securing infrastructure-as-code and cloud deployments using Terraform, CloudFormation, ARM, Docker, and Kubernetes
• B2B SaaS Product companies
• Must have working knowledge of globally recognized security frameworks and standards such as ISO 27001, NIST, and CIS with exposure to SOC2, GDPR, or HIPAA compliance environments

Preferred:

• Experience with DevSecOps automation, security-as-code, and policy-as-code implementations
• Exposure to threat intelligence platforms, cloud security monitoring, and proactive threat detection methodologies, including EDR / DLP or vulnerability management tools
• Must demonstrate strong ownership mindset, proactive security-first thinking, and ability to communicate risks in clear business language

Roles & Responsibilities:

We are looking for a Senior Information Security Engineer who can help protect our cloud infrastructure, applications, and data while enabling teams to move fast and build securely.

This role sits deep within our engineering ecosystem. You’ll embed security into how we design, build, deploy, and operate systems—working closely with Cloud, Platform, and Application Engineering teams. You’ll balance proactive security design with hands-on incident response, and help shape a strong, security-first culture across the organization.

If you enjoy solving real-world security problems, working close to systems and code, and influencing how teams build securely at scale, this role is for you.

What You’ll Do-

Cloud & Infrastructure Security:

• Design, implement, and operate cloud-native security controls across AWS, Azure, GCP, and Oracle.
• Strengthen IAM, network security, and cloud posture using services like GuardDuty, Azure Security Center and others.
• Partner with platform teams to secure VPCs, security groups, and cloud access patterns.

Application & DevSecOps Security:

• Embed security into the SDLC through threat modeling, secure code reviews, and security-by-design practices.
• Integrate SAST, DAST, and SCA tools into CI/CD pipelines.
• Secure infrastructure-as-code and containerized workloads using Terraform, CloudFormation, ARM, Docker, and Kubernetes.

Security Monitoring & Incident Response:

• Monitor security alerts and investigate potential threats across cloud and application layers.
• Lead or support incident response efforts, root-cause analysis, and corrective actions.
• Plan and execute VAPT and penetration testing engagements (internal and external), track remediation, and validate fixes.
• Conduct red teaming activities and tabletop exercises to test detection, response readiness, and cross-team coordination.
• Continuously improve detection, response, and testing maturity.

Security Tools & Platforms:

• Manage and optimize security tooling including firewalls, SIEM, EDR, DLP, IDS/IPS, CSPM, and vulnerability management platforms.
• Ensure tools are well-integrated, actionable, and aligned with operational needs.

Compliance, Governance & Awareness:

• Support compliance with industry standards and frameworks such as SOC2, HIPAA, ISO 27001, NIST, CIS, and GDPR.
• Promote secure engineering practices through training, documentation, and ongoing awareness programs.
• Act as a trusted security advisor to engineering and product teams.

Continuous Improvement:

• Stay ahead of emerging threats, cloud vulnerabilities, and evolving security best practices.
• Continuously raise the bar on a company's security posture through automation and process improvement.

Endpoint Security (Secondary Scope):

• Provide guidance on endpoint security tooling such as SentinelOne and Microsoft Defender when required.

Ideal Candidate:

• Strong hands-on experience in cloud security across AWS and Azure.
• Practical exposure to CSPM tools (e.g., Prisma Cloud, Wiz, Orca) and SIEM / IDS / IPS platforms.
• Experience securing containerized and Kubernetes-based environments.
• Familiarity with CI/CD security integrations (e.g., Snyk, GitHub Advanced Security, or similar).
• Solid understanding of network security, encryption, identity, and access management.
• Experience with application security testing tools (SAST, DAST, SCA).
• Working knowledge of security frameworks and standards such as ISO 27001, NIST, and CIS.
• Strong analytical, troubleshooting, and problem-solving skills.

Nice to Have:

• Experience with DevSecOps automation and security-as-code practices.
• Exposure to threat intelligence and cloud security monitoring solutions.
• Familiarity with incident response frameworks and forensic analysis.
• Security certifications such as CISSP, CISM, CCSP, or CompTIA Security+.

Perks, Benefits and Work Culture:

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that company offers.

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Job Description for Senior Frontend Engineer

Job Title: Senior Frontend Engineer

Company: Mydbops

Job Overview:

We’re building an agentic AI database platform where intelligent automation meets intuitive design. Join our small, execution-focused development team powered by deep database expertise as we redefine how teams monitor and optimize database performance.

About Mydbops

Mydbops helps fast-growing teams and unicorns run mission-critical databases with speed, scale, and reliability. Trusted by 800+ clients, including 30+ unicorns, we optimize and manage systems like MySQL, PostgreSQL, MongoDB, MariaDB, TiDB, and Cassandra, powering 10B+ transactions daily across industries such as fintech, SaaS, healthcare, logistics, and e-commerce.

With 9+ years of deep expertise, we build automation tools, lead complex migrations, and solve high-impact performance and database challenges. We are ISO and PCI-DSS certified, combining engineering excellence with enterprise-grade security and compliance.

Role:

You'll architect and build our frontend from the ground up, crafting a modern, production-ready agentic AI application that makes complex database insights clear, accessible, and actionable. In this high-impact role, your technical decisions will shape how our platform scales and evolves.

What You'll Own

• Design and implement the entire frontend architecture using modern technologies
• Build responsive, performant UIs that handle real-time data and complex user workflows
• Collaborate closely with backend and AI teams to define system boundaries, advocate for optimal data flows, and craft experiences that make AI accessible
• Establish engineering standards for testing, CI/CD, and code quality
• Balance technical excellence with product intuition and a deep focus on user experience

What We're Looking For

Core Requirements:

• 3 to 5 Years building production frontends with proven performance, security, and architectural ownership
• Strong proficiency in React, TypeScript, and modern component-based architecture
• Deep knowledge of authentication, RBAC, session management, and frontend security best practices
• Experience with state management (e.g., Redux, Zustand) and integrating complex or real-time APIs
• Strong design intuition with exposure to design systems, responsive UX, and accessibility standards
• Experience building real-time UIs, data visualizations, or telemetry dashboards
• Familiarity with data visualization libraries like Recharts, D3, Chart.js, or similar open-source solutions
• A track record of clean, maintainable code and a proactive ownership mindset

Culture Fit

We value execution over meetings, ownership over hand-holding, and long-term thinking over quick fixes. We're looking for someone who:

• Takes initiative and drives projects to completion independently
• Writes clean, maintainable code with testing in mind
• Cares equally about performance, security, and user experience
• Balances technical debt with product velocity and user impact

This role likely isn't a fit if:

• You need daily task breakdowns to make progress
• You haven't built and shipped production-grade applications end-to-end
• You avoid dealing with performance, authentication, or architecture
• You prefer polishing UI components over solving deep product problems

Ready to help build intelligent database performance tools? We'd love to hear from you.

Job Details:

• Job Type: Full-time opportunity 
• Work time: General Shift
• Mode of Employment - Hybrid (Chennai Location)
• Experience - 3 to 5 years

Job Title: Sr. IT Analyst – IAM & Office 365

Location: Sector 32, Gurgaon

Work Mode: Hybrid

Shift Timing: 10:30 AM – 7:30 PM

Working Days: Monday to Friday (Should be comfortable working on weekends if needed)

About the Role

We are looking for a seasoned IT Security professional with a strong focus on Identity and Access Management (IAM) and Office 365 administration. This role is critical to ensuring secure access to enterprise systems, managing user identity lifecycles, and supporting ongoing cloud security initiatives.

You will work with cross-functional teams to implement security best practices, support operational tasks, and contribute to projects around IAM automation, Office 365 feature rollouts, and policy implementations.

Key Responsibilities

Identity and Access Management (IAM):

• Administer and maintain IAM systems across cloud and on-prem environments.
• Manage user provisioning, de-provisioning, and access reviews.
• Implement and optimize Conditional Access Policies, MFA, and RBAC.
• Integrate IAM solutions with Azure AD, Office 365, and other enterprise tools.
• Automate workflows for identity lifecycle management and secret/certificate rotation.
• Maintain documentation such as SOPs and process flows.

Office 365 Administration:

• Manage services like SharePoint Online, Teams, and PowerApps.
• Configure and monitor security features like DLP and Defender for Office 365.
• Troubleshoot Office 365 issues and respond to service requests.
• Ensure Office 365 logs are properly integrated into the SIEM system.

Operational Security & Projects:

• Conduct user access audits, incident handling, and vulnerability remediation.
• Participate in security tool upgrades and rollout of new O365 features.
• Ensure compliance with internal policies and external standards.
• Drive improvements in access control and security posture.

Requirements

• Education: Bachelor’s in Computer Science, IT, Cybersecurity, or a related field.
• Experience:
• 4+ years in IT Security with expertise in IAM and Office 365.
• Hands-on experience with Azure AD, MFA, Conditional Access, and O365 security.
• Technical Skills:
• Strong knowledge of IAM principles, RBAC, authentication protocols.
• PowerShell scripting for automation.
• Exposure to Microsoft Graph API is a plus.
• Soft Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration.

Good to Have

• Microsoft Certification – MS-102 or equivalent.

Position : Senior IT Analyst – IAM & Office 365

Experience : 4 to 8 Years

Location : Gurgaon (Hybrid : 3 days office, 2 days WFH)

Notice Period : Immediate to 15–20 days (Buyout option available)

Communication : Excellent communication skills mandatory (client-facing role)

About the Role :

We're looking for a skilled IT Security professional with strong experience in Identity and Access Management (IAM) and Office 365 (O365/M365). The role involves securing access, managing user identities, and administering O365 services across a hybrid cloud environment.

Mandatory Skills :

O365/M365, Azure AD, IAM, Conditional Access, MFA, Defender for O365, RBAC, DLP, PowerShell, Strong Communication

Key Responsibilities :

• Manage Azure AD, Conditional Access, MFA, and RBAC policies.
• Administer O365 services – SharePoint, Teams, PowerApps.
• Configure Defender for O365, DLP policies, and compliance settings.
• Automate tasks using PowerShell, support user lifecycle processes.
• Handle access audits, incident response, and IAM/O365 tool upgrades.
• Collaborate with internal teams on security and operational enhancements.

Good to Have :

• Microsoft Certification (e.g., MS-102)
• Experience with Microsoft Graph API and SIEM log integration