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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
tools, build pile lines, deployment and production support.
• Maintaining mission critical day-to-day operations of the production processing platform and internal company resources.
• shall have sound and working knowledge of various devops tools like git, gitlab, jUnit, sonarqube, Jenkins, nagios etc.
• Shall have working knowledge of mentioned devOps tools.
• Analysing, executing and streamlining devops tools and practices.
• Automating processes with rights tools.
• Facilitating development process & operations.
• Establishing suitable devops channel across the organization.
• Setting up CI-CD to speed up software development and deployment process.
• Monitoring, reviewing and managing technical operations.
- Minimum 3+ yrs of Experience in DevOps with AWS Platform
- • Strong AWS knowledge and experience
- • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
- • Experience with IAC tools Terraform
- • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
- • Significant experience with Linux operating system environments
- • Experience with infrastructure scripting solutions such as Python/Shell scripting
- • Must have experience in designing Infrastructure automation framework.
- • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
- • Excellent problem-solving, Log Analysis and troubleshooting skills
- • Experience in setting up centralized logging for system (EKS, EC2) and application
- • Process-oriented with great documentation skills
- • Ability to work effectively within a team and with minimal supervision
Job Title: DevOps Engineer
Location: Mumbai
Experience: 2–4 Years
Department: Technology
About InCred
InCred is a new-age financial services group leveraging technology and data science to make lending quick, simple, and hassle-free. Our mission is to empower individuals and businesses by providing easy access to financial services while upholding integrity, innovation, and customer-centricity. We operate across personal loans, education loans, SME financing, and wealth management, driving financial inclusion and socio-economic progress. [incred.com], [canvasbusi...smodel.com]
Role Overview
As a DevOps Engineer, you will play a key role in automating, scaling, and maintaining our cloud infrastructure and CI/CD pipelines. You will collaborate with development, QA, and operations teams to ensure high availability, security, and performance of our systems that power millions of transactions.
Key Responsibilities
- Cloud Infrastructure Management: Deploy, monitor, and optimize infrastructure on AWS (EC2, EKS, S3, VPC, IAM, RDS, Route53) or similar platforms.
- CI/CD Automation: Build and maintain pipelines using tools like Jenkins, GitLab CI, or similar.
- Containerization & Orchestration: Manage Docker and Kubernetes clusters for scalable deployments.
- Infrastructure as Code: Implement and maintain IaC using Terraform or equivalent tools.
- Monitoring & Logging: Set up and manage tools like Prometheus, Grafana, ELK stack for proactive monitoring.
- Security & Compliance: Ensure systems adhere to security best practices and regulatory requirements.
- Performance Optimization: Troubleshoot and optimize system performance, network configurations, and application deployments.
- Collaboration: Work closely with developers and QA teams to streamline release cycles and improve deployment efficiency. [nexthire.breezy.hr], [nexthire.breezy.hr]
Required Skills
- 2–4 years of hands-on experience in DevOps roles.
- Strong knowledge of Linux administration and shell scripting (Bash/Python).
- Experience with AWS services and cloud architecture.
- Proficiency in CI/CD tools (Jenkins, GitLab CI) and version control systems (Git).
- Familiarity with Docker, Kubernetes, and container orchestration.
- Knowledge of Terraform or similar IaC tools.
- Understanding of networking, security, and performance tuning.
- Exposure to monitoring tools (Prometheus, Grafana) and log management.
Preferred Qualifications
- Experience in financial services or fintech environments.
- Knowledge of microservices architecture and enterprise-grade SaaS setups.
- Familiarity with compliance standards in BFSI (Banking & Financial Services Industry).
Why Join InCred?
- Culture: High-performance, ownership-driven, and innovation-focused environment.
- Growth: Opportunities to work on cutting-edge tech and scale systems for millions of users.
- Rewards: Competitive compensation, ESOPs, and performance-based incentives.
- Impact: Be part of a mission-driven organization transforming India’s credit landscape.
Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".
Only applications received via email will be reviewed. Applications through other channels will not be considered.
Job Description
The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange
We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.
The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.
Responsibilities:
Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.
Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.
Improve and fix bugs in installation and automation routines.
Monitor CPU usage, security findings, and AWS alerts.
Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.
Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).
Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.
Integrate data from AWS CloudWatch.
Document all relevant information and train involved personnel in the used technologies.
Requirements:
Experience with Elastic Stack (ELK) components and related technologies.
Proficiency in automation tools like Ansible and CloudFormation.
Strong knowledge of AWS Cloud services.
Experience in creating and managing dashboards and alerts.
Familiarity with IAM roles and rights management.
Ability to document processes and train team members.
Excellent problem-solving skills and attention to detail.
Skills & Requirements
Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.
Who you are
The possibility of having massive societal impact. Our software touches the lives of hundreds of millions of people.
Solving hard governance and societal challenges
Work directly with central and state government leaders and other dignitaries
Mentorship from world class people and rich ecosystems
Position : Architect or Technical Lead - DevOps
Location : Bangalore
Role:
Strong knowledge on architecture and system design skills for multi-tenant, multi-region, redundant and highly- available mission-critical systems.
Clear understanding of core cloud platform technologies across public and private clouds.
Lead DevOps practices for Continuous Integration and Continuous Deployment pipeline and IT operations practices, scaling, metrics, as well as running day-to-day operations from development to production for the platform.
Implement non-functional requirements needed for a world-class reliability, scale, security and cost-efficiency throughout the product development lifecycle.
Drive a culture of automation, and self-service enablement for developers.
Work with information security leadership and technical team to automate security into the platform and services.
Meet infrastructure SLAs and compliance control points of cloud platforms.
Define and contribute to initiatives to continually improve Solution Delivery processes.
Improve organisation’s capability to build, deliver and scale software as a service on the cloud
Interface with Engineering, Product and Technical Architecture group to meet joint objectives.
You are deeply motivated & have knowledge of solving hard to crack societal challenges with the stamina to see it all the way through.
You must have 7+ years of hands-on experience on DevOps, MSA and Kubernetes platform.
You must have 2+ years of strong kubernetes experience and must have CKA (Certified Kubernetes Administrator).
You should be proficient in tools/technologies involved for a microservices architecture and deployed in a multi cloud kubernetes environment.
You should have hands-on experience in architecting and building CI/CD pipelines from code check-in until production.
You should have strong knowledge on Dockers, Jenkins pipeline scripting, Helm charts, kubernetes objects and manifests, prometheus and demonstrate hands-on knowledge of multi cloud computing, storage and networking.
You should have experience in designing, provisioning and administrating using best practices across multiple public cloud offerings (Azure, AWS, GCP) and/or private cloud offerings ( OpenStack, VMware, Nutanix, NIC, bare metal Infra).
You should have experience in setting up logging, monitoring Cloud application performance, error rates, and error budgets while tracking adherence to SLOs and SLAs.
Experience with Linux infrastructure, opensource databases (mysql, postgres etc), CI/CD tools Jenkins, Gitlab, Nexus Repository, Jira, Agile workflow and Kanban.
- Solid understanding of IP network and TCP/IP
- Minimum of 7+ years’ work experience in IT
- Minimum of 4+ years experience as DevOps Enginneer
- Good interpersonal skills and communication written and oral.
Looking for an experienced candidate with strong development and programming experience, knowledge preferred-
- Cloud computing (i.e. Kubernetes, AWS, Google Cloud, Azure)
- Coming from a strong development background and has programming experience with Java and/or NodeJS (other programming languages such as Groovy/python are a big bonus)
- Proficient with Unix systems and bash
- Proficient with git/GitHub/GitLab/bitbucket
Desired skills-
- Docker
- Kubernetes
- Jenkins
- Experience in any scripting language (Phyton, Shell Scripting, Java Script)
- NGINX / Load Balancer
- Splunk / ETL tools
- Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
- Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
- Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
- Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
- Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
- Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.
- Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
- • Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
- • Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
- • Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.
- Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar
Responsibilities
- Building and maintenance of resilient and scalable production infrastructure
Improvement of monitoring systems
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Incident analysis and fixing
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience of working with git
Preferred experience
Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience administering Atlassian products



