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Mulesoft Architect
Mulesoft Architect
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Mulesoft Architect

Rashmi Venugopal's profile picture
Posted by Rashmi Venugopal
8 - 10 yrs
₹10L - ₹15L / yr
Remote only
Skills
MuleSoft
  • Collaborate with enterprise architects and IT program managers to enhance existing business applications and facilitate solutions to meet business requirements
  • Assist in architecting technical solutions for enterprise systems using the MuleSoft product suite.
  • Design patterns for building middleware systems ground up using Message Routing, Content Enrichment, Message Filtering, Message Transformation, Guaranteed delivery, Message sequencing, Batch message processing, error handling and reconciliation mechanisms.
  • Knowledge of Web Services Interoperability, WS-* standards and ability to suggest, criticize and formulate solutions in a multi-vendor and architecture committee meetings.
  • Identify, analyze and design integration flows using Mule ESB Anypoint Studio and technically own and manage the process of ensuring on time and on budget build and integration of the various elements of the solution
  • Good understanding of integration design patterns & best practices
  • In depth experience using Agile, Scrum and iterative development practices
  • Assist on technical POC's to prove out technology and ultimately leading into selection.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Bluespacelabs

Founded :
2019
Type :
Products & Services
Size :
20-100
Stage :
Profitable

About

Home - BLUESPACELABS
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Rashmi Venugopal
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Archana K

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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
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About Hyno:


Hyno Technologies is a unique blend of top-notch designers and world-class developers for new-age product development. Within the last 2 years we have collaborated with 32 young startups from India, US and EU to to find the optimum solution to their complex business problems. We have helped them to address the issues of scalability and optimisation through the use of technology and minimal cost. To us any new challenge is an opportunity.

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Position: DevOps Engineer

Experience: 5-7 years


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  • Perform regular security assessments and implement best practices for securing the entire development and deployment pipeline.
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  • Follow regulatory and ISO 13485 requirements.
  • Stay updated with industry trends and emerging technologies in the DevOps and cloud space, and proactively suggest improvements to current processes.






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  • Solid understanding of containerization technologies (Docker, Kubernetes) and orchestration tools
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  • Proficiency in at least one programming/scripting language such as Python, Bash, or PowerShell..
  • Demonstrated experience in building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
  • Familiarity with configuration management tools like Ansible, Puppet, or Chef.
  • Experience with container (Docker, ECS, EKS), serverless (Lambda), and Virtual Machine (VMware, KVM) architectures.
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  • Strong knowledge of monitoring and logging tools such as Prometheus, ELK stack, or Splunk.
  • Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
  • Strong communication skills and the ability to work independently as well as in a team.


Nice to Have:


  • Relevant certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, Certified Kubernetes Administrator (CKA), etc.
  • Experience with microservices architecture and serverless computing.


Soft Skills:

  • Excellent written and verbal communication skills.
  • Ability to manage conflict effectively.
  • Ability to adapt and be productive in a dynamic environment.
  • Strong communication and collaboration skills supporting multiple stakeholders and business operations.
  • Self-starter, self-managed, and a team player.


Join us in shaping the future of DevOps at Hyno in collaboration with Sparity. If you are a highly motivated and skilled DevOps Engineer, eager to make an impact in a remote setting, we'd love to hear from you.


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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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