Kubernetes
Docker
PythonYour challenge
As a DevOps Engineer, you’re responsible for automating the deployment of our software solutions. You interact with software engineers, functional product managers, and ICT professionals daily. Using your technical skills, you provide internal tooling for development and QA teams around the globe.
We believe in an integrated approach, where every team member is involved in all steps of the software development life cycle: analysis, architectural design, programming, and maintenance. We expect you to be the proud owner of your work and take responsibility for it.
Together with a tight-knit group of 5-6 team players, you develop, maintain and support key elements of our infrastructure:
- Continuous integration and production systems
- Release and build management
- Package management
- Containerization and orchestration
Your team
As our new DevOps Engineer, you’ll be part of a large, fast-growing, international team located in Belgium (Antwerp, Ghent, Wavre), Spain (Barcelona), Ukraine (Lviv), and the US (Atlanta). Software Development creates leading software solutions that make a difference to our customers. We make smart, robust, and scalable software to solve complex supply chain planning challenges.
Your profile
We are looking for someone who meets the following qualifications:
- A bachelor’s or master’s degree in a field related to Computer Science.
- Pride in developing high-quality solutions and taking responsibility for their maintenance.
- Minimum 6 years' experience in a similar role
- Good knowledge of the following technologies: Kubernetes, PowerShell or bash scripting, Jenkins, Azure Pipelines or similar automation systems, Git.
- Familiarity with the Cloud–Native Landscape. Terraform, Ansible, and Helm are tools we use daily.
- Supportive towards users.
Bonus points if you have:
- A background in DevOps, ICT, or technical support.
- Customer support experience or other relevant work experience, including internships.
- Understanding of Windows networks and Active Directory.
- Experience with transferring applications into the cloud.
- Programming skills.
Soft skills
Team Work
Pragmatic attitude
Passionate
Analytical thinker
Tech Savvy
Fast Learner
Hard skills
Kubernetes
CI/CD
Git
Powershell
Your future
At OMP, we’re eager to find your best career fit. Our talent management program supports your personal development and empowers you to build a career in line with your ambitions.
Many of our team members who start as DevOps Engineers grow into roles in DevOps/Cloud architecture, project management, or people management.
Shubham Vishwakarma
Full Stack Developer - Averlon
About OMP India
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Amazon Web Services (AWS)KubernetesDockerAbout the opportunity:
This role is with Sporty Group. CareersInCloud shares this opportunity to help professionals discover relevant technology careers.
Hiring Company: Sporty Group
Sporty Group is looking for an experienced DevOps Engineer to join its remote engineering team.
This role involves managing AWS cloud infrastructure, Kubernetes environments, CI/CD pipelines, monitoring, automation, and improving system reliability.
Key Responsibilities:
• Manage AWS infrastructure and cloud operations
• Maintain Kubernetes clusters and Docker environments
• Build and improve CI/CD pipelines
• Monitor production systems using Grafana, Prometheus, and CloudWatch
• Troubleshoot Linux, networking, and infrastructure issues
Requirements:
• 3+ years of DevOps experience
• Strong AWS and Kubernetes experience
• Experience with Docker, Linux, CI/CD tools
• Good understanding of cloud infrastructure and automation
Apply here:
https://careersincloud.com/jobs/sporty-group-hiring-devops-engineer-remote-experienced
Amazon Web Services (AWS)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
DockerKubernetesAmazon Web Services (AWS)Company - Apptware Solutions
Location Baner Pune
Team Size - 130+
Job Description -
Cloud Engineer with 8+yrs of experience
Roles and Responsibilities
● Have 8+ years of strong experience in deployment, management and maintenance of large systems on-premise or cloud
● Experience maintaining and deploying highly-available, fault-tolerant systems at scale
● A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
● Practical experience with Docker containerization and clustering (Kubernetes/ECS)
● Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, VPN)
● Version control system experience (e.g. Git)
● Experience implementing CI/CD (e.g. Jenkins, TravisCI, CodePipeline)
● Operational (e.g. HA/Backups) NoSQL experience (e.g. MongoDB, Redis) SQL experience (e.g. MySQL)
● Experience with configuration management tools (e.g. Ansible, Chef) ● Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
● Bachelor's or master’s degree in CS, or equivalent practical experience
● Effective communication skills
● Hands-on cloud providers like MS Azure and GC
● A sense of ownership and ability to operate independently
● Experience with Jira and one or more Agile SDLC methodologies
● Nice to Have:
○ Sensu and Graphite
○ Ruby or Java
○ Python or Groovy
○ Java Performance Analysis
Role: Cloud Engineer
Industry Type: IT-Software, Software Services
Functional Area: IT Software - Application Programming, Maintenance Employment Type: Full Time, Permanent
Role Category: Programming & Design
PythonAmazon Web Services (AWS)Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
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- Own site stability, performance, capacity planning, DevOps recruitment.
DockerKubernetesDockerPython
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon