Devops Administrator

Principal DevOps Engineer

Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands-on Architecting DevOps/SRE/Platform Engineering experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills) from scratch.

We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production-grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre-existing environments that were already stood up by another team, this is not the right opportunity for you.

Who are we?

Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk-based exposure and vulnerability management – driving smarter security decisions and faster remediation.

What do we promise?

We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritized remediation for every one of our client businesses.

What do we provide?

● A chance to be on the leading edge of cybersecurity and AI

● Ability to have direct impact on company growth and revenue strategy

● An opportunity to mentor and be mentored by experts in multiple disciplines

What do we deliver?

Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks.

Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry.

Core Technology Stack

AWS , EKS / Kubernetes, Jenkins , Python ,Terraform ,CI/CD , AI

Key Responsibilities:

● Architect and manage the end-to-end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi-region availability.

● Build, maintain, and optimize Jenkins-based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.

● Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.

● Manage and participate in the on-call rotation; act as escalation point for P1/P2 incidents and drive post-incident reviews.

● Drive Infrastructure-as-Code (IaC) practices with Terraform/CloudFormation and champions a culture of automation and operational excellence.

● Collaborate cross-functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.

● Identify opportunities to leverage AI to automate operational and DevOps workflows.

● Design and implement AI-assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimization.

● Drive the adoption of AI-powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.

● Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.

● Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.

● Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.

● Define best practices and governance for the safe and effective use of AI across DevOps processes.

● Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.

Requirements:

● 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.

● Deep hands-on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).

● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA).

● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.

● Solid Python scripting skills for automation, tooling, and infrastructure management tasks.

● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation.

● Proven track record of architecting and managing end-to-end SaaS products in a cloud-native environment.

● Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).

● Hands-on experience with on-call processes and incident management frameworks.

Preferred Qualifications:

● AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.

● Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero-trust security models.

● Experience with multi-tenant SaaS architectures and tenant isolation strategies.

● Knowledge of FinOps principles and AWS cost management tooling.

● Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.

Core Competencies:

● Strategic Thinking – ability to translate business goals into scalable technical architecture.

● Operational Excellence – strong bias for reliability, automation, and continuous improvement.

● Communication – ability to clearly articulate complex technical topics to non-technical stakeholders.

● Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.

● Resilience Under Pressure – calm and decisive during incidents; leads by example in high-stress situations.

Why should we connect?

We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion.

At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.

If you are passionate about cybersecurity just as we are, we would love to connect and share ideas

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

Responsibilities

 Provisioning and de-provisioning AWS accounts for internal customers

 Work alongside systems and development teams to support the transition and operation of client websites/applications in and out of AWS.

 Deploying, managing, and operating AWS environments

 Identifying appropriate use of AWS operational best practices

 Estimating AWS costs and identifying operational cost control mechanisms

 Keep technical documentation up to date

 Proactively keep up to date on AWS services and developments

 Create (where appropriate) automation, in order to streamline provisioning and de-provisioning processes

 Lead certain data/service migration projects

Job Requirements

 Experience provisioning, operating, and maintaining systems running on AWS

 Experience with Azure/AWS.

 Capabilities to provide AWS operations and deployment guidance and best practices throughout the lifecycle of a project

 Experience with application/data migration to/from AWS

 Experience with NGINX and the HTTP protocol.

 Experience with configuration and management software such as GIT  Strong analytical and problem-solving skills

 Deployment experience using common AWS technologies like VPC, and regionally distributed EC2 instances, Docker, and more.

 Ability to work in a collaborative environment

 Detail-oriented, strong work ethic and high standard of excellence

 A fast learner, the Achiever, sets high personal goals

 Must be able to work on multiple projects and consistently meet project deadlines

Client: Sony Corporation

Position: 3

Exp: 5-8Years

DevOps Engineer

Location: Bangalore

Budget: 16.5 LPA Max

Gerrit ,Jenkins, Rabbit MQ AWS Linux
Python ,Ansible, Tomcat ,Postgresql
Grafana ,Groovy,HTML,Shell,Apache,Git , ELK

Experience of Linux

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with   Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues