- 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.

Similar jobs
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
Sr.DevOps Engineer (5 to 8 yrs. Exp.)
Location: Ahmedabad
- Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
- Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
- Strong Experience in Jenkins & AWS Native CI/CD implementation using code
- Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
- Day to Day AWS Cloud administration tasks
- Strong Experience in Configuration management using Ansible and PowerShell.
- Strong Experience in Linux and any scripting language must required.
- Knowledge of Monitoring tool will be added advantage.
- Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
- Hands on with application deployment process
Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes
Role: Software Developer
Industry Type: IT-Software, Software Services
FunctionalArea:ITSoftware- Application Programming, Maintenance
Employment Type: Full Time, Permanent
Education: Any computer graduate.
Salary: Best in Industry.· 7-15 years’ experience in a telco Service provider environment, planning/configuring/documenting network assets and inventory.
· Demonstrate good technical expertise to vendor equipment : WDM (Ciena / Infinera /Adva), Ethernet, IP (Cisco/Ciena/Nokia/Juniper), Voice (DMS, EWSD)
· Good understanding of WDM and Ethernet technologies.
· Experience of Infrastructure planning and network rollout
· Exposure to Infrastructure element planning / implementation e.g. Copper, Fibre , Racks, Telecom Nodes , Power plants , Transmission Towers etc.
· Proficient in MS-Excel and Visio
· Experience in planning and implementation of large scale network transformation programme
Job Description: DevOps Engineer
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.
As part of Hyno’s expansion plans,Hyno, in partnership with Sparity, is seeking an experienced DevOps Engineer to join our dynamic team. As a DevOps Engineer, you will play a crucial role in enhancing our software development processes, optimising system infrastructure, and ensuring the seamless deployment of applications. If you are passionate about leveraging cutting-edge technologies to drive efficiency, reliability, and scalability in software development, this is the perfect opportunity for you.
Position: DevOps Engineer
Experience: 5-7 years
Responsibilities:
- Collaborate with cross-functional teams to design, develop, and implement CI/CD pipelines for automated application deployment, testing, and monitoring.
- Manage and maintain cloud infrastructure using tools like AWS, Azure, or GCP, ensuring scalability, security, and high availability.
- Develop and implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and management of resources.
- Constantly evaluate continuous integration and continuous deployment solutions as the industry evolves, and develop standardised best practices.
- Work closely with development teams to provide support and guidance in building applications with a focus on scalability, reliability, and security.
- Perform regular security assessments and implement best practices for securing the entire development and deployment pipeline.
- Troubleshoot and resolve issues related to infrastructure, deployment, and application performance in a timely manner.
- 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.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience).
- Minimum of 5 years of hands-on experience in DevOps, system administration, or related roles.
- Solid understanding of containerization technologies (Docker, Kubernetes) and orchestration tools
- Strong experience with cloud platforms such as AWS, Azure, or GCP, including services like ECS, S3, RDS, and more.
- 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.
- Experience with infrastructure as code (IaC) tools like Terraform, CloudFormation, or Pulumi.
- 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.
We will share our workload as a team and we expect you to work on a broad range of tasks. Here’s are some of the things you might have to do on any given day:
- Developing APIs and endpoints for deployments of our product
- Infrastructure Development such as building databases, creating and maintaining automated jobs
- Build out the back-end to deploy and scale our product
- Build POCs for client deployments
- Document your code, write test cases, etc.
• Expertise in any one hyper-scale (AWS/AZURE/GCP), including basic services like networking, data and workload management.
o AWS
Networking: VPC, VPC Peering, Transit Gateway, RouteTables, SecurityGroups, etc.
Data: RDS, DynamoDB, ElasticSearch
Workload: EC2, EKS, Lambda, etc.
o Azure
Networking: VNET, VNET Peering,
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, VirtualMachines, AzureFunctions
o GCP
Networking: VPC, VPC Peering, Firewall, Flowlogs, Routes, Static and External IP Addresses
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup, templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment, networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloudformation), write modules, setup pipeline and version the code.
Optional
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, OpenTelemetry; Paid: Datadog, 24/7, etc)
Contract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)








