Senior DevOps Engineer

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

Job Title: AWS Devops Engineer – Manager Business solutions

Location: Gurgaon, India

Experience Required: 8-12 years

Industry: IT

We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.

Key Deliverables (Essential functions & Responsibilities of the Job):

·         Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.

·         Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.

·         Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.

·         Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.

·         Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.

·         Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.

·         Work closely with development teams to improve application reliability, scalability, and performance.

·         Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.

·         Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.

·         Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.

Knowledge Skills and Abilities:

·         7+ years of hands-on AWS DevOps experience, especially with middleware services.

·         Strong expertise in MongoDB Atlas or other cloud MongoDB services.

·         Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.

·         Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.

·         Excellent scripting skills in Python, Bash, or PowerShell.

·         Experience in containerization and orchestration: Docker, EKS, ECS.

·         Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.

·         Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.

·         Ability to solve complex problems and thrive in a fast-paced environment.

Preferred Qualifications

·         AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.

·         MongoDB Certified DBA or Developer.

·         Experience with serverless services like AWS Lambda, Step Functions.

·         Exposure to multi-cloud or hybrid cloud environments.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish; 88O 27 49 743

Google search: Glan management consultancy

About Kanerika:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI.

We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions:

Kanerika has won several awards over the years, including:

1. Best Place to Work 2023 by Great Place to Work®

2. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today

3. NASSCOM Emerge 50 Award in 2014

4. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture

5. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.

Working for us:

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees.

Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

About the role:

As a DevOps Engineer, you will play a critical role in bridging the gap between development, operations, and security teams to enable fast, secure, and reliable software delivery. With 5+ years of hands-on experience, the engineer is responsible for designing, implementing, and maintaining scalable, automated, and cloud-native infrastructure solutions.

Key Responsibilities:

• 5+ years of hands-on experience in DevOps or Cloud Engineering roles.
• Strong expertise in at least one public cloud provider (AWS / Azure / GCP).
• Proficiency in Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, or CloudFormation).
• Solid experience with Kubernetes and containerized applications.
• Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD).
• Scripting/programming skills in Python, Shell, or Go for automation.
• Hands-on experience with monitoring, logging, and incident management.
• Familiarity with security practices in DevOps (secrets management, IAM, vulnerability scanning). 

Employee Benefits:

1. Culture:

1. Open Door Policy: Encourages open communication and accessibility to management.
2. Open Office Floor Plan: Fosters a collaborative and interactive work environment.
3. Flexible Working Hours: Allows employees to have flexibility in their work schedules.
4. Employee Referral Bonus: Rewards employees for referring qualified candidates.
5. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity:

1. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
2. Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

1. GMC and Term Insurance: Offers medical coverage and financial protection.
2. Health Insurance: Provides coverage for medical expenses.
3. Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

1. Company-sponsored family events: Creates opportunities for employees and their       families to bond.
2. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
3. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

1. Company-sponsored outings: Organizes recreational activities for employees.
2. Gratuity: Provides a monetary benefit as a token of appreciation.
3. Provident Fund: Helps employees save for retirement.
4. Generous PTO: Offers more than the industry standard for paid time off.
5. Paid sick days: Allows employees to take paid time off when they are unwell.
6. Paid holidays: Gives employees paid time off for designated holidays.
7. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

1. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
2. Mentorship Program: Offers guidance and support from experienced professionals.
3. Job Training: Provides training to enhance job-related skills.
4. Professional Certification Reimbursements: Assists employees in obtaining professional      certifications.
5. Promote from Within: Encourages internal growth and advancement opportunities.

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Type, Location

Full Time @ Anywhere in India

Desired Experience

2+ years

Job Description

What You’ll Do

● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.

● Take charge of DevOps activities for CI/CD with the latest tech stacks.

● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.

● Implementing the DevOps philosophy and strategy across different domains in organisation.

● Build automation at various levels, including code deployment to streamline release process

● Will be responsible for architecture of cloud services

● 24*7 monitoring of the infrastructure

● Use programming/scripting in your day-to-day work

● Have shell experience - for example Powershell on Windows, or BASH on *nix

● Use a Version Control System, preferably git

● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)

● Scalability, HA and troubleshooting of web-scale applications.

● Infrastructure-As-Code tools like Terraform, CloudFormation

● CI/CD systems such as Jenkins, CircleCI

● Container technologies such as Docker, Kubernetes, OpenShift

● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA

What you bring to the table

● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.

● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.

● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems

● Configuration management tools such as Ansible/Chef/Puppet

Bonus if you have…

● Basic understanding of Networking(routing, switching, dns) and Storage

● Basic understanding of Protocol such as UDP/TCP

● Basic understanding of Cloud computing

● Basic understanding of Cloud computing models like SaaS, PaaS

● Basic understanding of git or any other source code repo

● Basic understanding of Databases(sql/no sql)

● Great problem solving skills

● Good in communication

● Adaptive to learning

Role : SRE

Experience : 4 - 8 Years

• Experience in building, deploying and operating cloud solutions on Kubernetes
• Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
• Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
• Hands-on experience as a DevOps or Automation development
• Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
• Experience working with Helm Charts and building out Infrastructure As Code (IaC)
• Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
• Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
• Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
• Architected CNF Orchestration with Kubernetes
• Strong understanding of the principles of 12-factor apps and modern containerized microservices
• Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
• Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

Skills and Experience

• 4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)

• Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.

• Experience in monitoring production workload with relevant metrics and dashboards.

• Experience in writing automation scripts using Shell, Python, Terraform, etc.

• Experience in following security practices while setting up the infrastructure. 

• Self-motivated, able, and willing to help where help is needed

• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility  

Roles and Responsibilities

• Manage various resources across different cloud providers. (Azure, AWS, and GCP)

• Monitor and optimize infrastructure cost.

• Manage various kubernetes clusters with appropriate monitoring and alerting setup.

• Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.

• Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.

• Assist the support team with escalated customer issues.

• Develop, improve, and thoroughly document operational practices and procedures. 

• Responsible for setting up good security practices across various clouds.

- You will manage all elements of the post-sale program relationship with your customers, starting with customer on-boarding and continuing throughout the customer relationship. 

- As the primary customer interface, you engage with customer teams to educate, identify needs, develop designs, set goals, manage and execute on plans that unlock continuous, incremental value from their investments in the CloudPassage Halo platform.

- You are hands-on during execution and thoroughly enjoy seeing your security projects come to life and supporting them afterwards. You are a trusted adviser.

Responsibilities :

- Manage a portfolio of 5+ Enterprise customer accounts with complex needs (typical enterprise customers invest between $500k and $4m+ per year with CloudPassage, have hundreds to tens of thousands of individual public cloud infrastructure deployments, and protect hundreds of thousands of cloud infrastructure assets with Halo).

- Provide level-3 technical support on your customer's most complex issues

- Lead implementation of low-level security controls in Cloud environments, for services, server and containers

- Remotely diagnose & resolve DevSecOps issues in customer environments - able to resolve their DevOps issues that may be interfering with CloudPassage processing.

- Interact with CloudPassage Engineering team by providing customer issue reproduction and data capture, technical diagnostics and validating fixes. QA experience preferred.

- Establish and program manage proactive, value-driven, high-touch relationships with your customers to understand, document and align customer strategies, business objectives, designs, processes and projects with Halo platform capabilities and broader CloudPassage services.

- Develop a trusted advisor relationship by building and maintaining appropriate relationships at all levels with your customer accounts, creating a premium and high-caliber experience.

- Ensure continued satisfaction, identify & confirm unaddressed customer needs that can be value-add opportunities for up-sell and cross-sell, and communicate those needs to the CloudPassage sales team. Identify any early CSAT issues and renewal risks and work with the internal team to remediate and ensure strong CSAT and a successful renewal.

- Be a strong customer advocate within CloudPassage and identify and support areas for improvement in the customer experience, both in our product and processes.

- Be team-oriented, but with a bias towards action to get things done for your customers.

Requirements : Strong cloud security knowledge & experience including :

- End-to-end enterprise security processes

- Cloud security - cloud migrations & shift in security requirements, tooling & approach

- Hands-on DevOps, DevSecOps architecture & automation (critical)

- 4+ years experience in security consulting and project/program management serving cybersecurity customers.

- Complex, level 3 technical support

- Remotely diagnosing & resolving DevSecOps issues in customer environments

- Interacting with CloudPassage Engineering team with customer issue reproduction

- Experience working in a security SaaS company in a startup environment.
 
- Experience working with Executive and C-Level teams.

- Ability to build and maintain strong relationships with internal and external constituents.

- Excellent organization, project management, time management, and communication skills.

- Understand and document customer requirements, map to product, track & report metrics, identify up-sell and cross-sell opportunities.
 
- Analytical both quantitatively and qualitatively.

- Excellent verbal and written communication skills.
 
- Security certifications (Security +, CISSP, etc.).

Expert Technical Skills :

- Consulting and project management : documenting project charters, project plans, executing delivery management, status reporting. Executive-level presentation skills.

- Security best practices expertise : software vulnerabilities, configuration management, intrusion detection, file integrity.

- System administration (including Linux and Windows) of cloud environments : AWS, Azure, GCP; strong networking/proxy skills.

Proficient Technical Skills :

- Configuration/Orchestration (Chef, Puppet, Ansible, SaltStack, CloudFormation, Terraform).

- CI/CD processes and environments.

Familiar Technical Skills & Knowledge : Python scripting & REST API's, Docker containers, Zendesk & JIRA.