Mainframe ZOS System Programmer

Role Overview

We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.

This is a high-ownership role with real impact on uptime, performance, and developer velocity.

Key Responsibilities

Infrastructure & Cloud Management

• Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
• Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
• Ensure high availability, fault tolerance, and scalability

CI/CD & Deployment

• Build and maintain CI/CD pipelines for backend and AI services
• Automate deployments, rollbacks, and environment management (dev, staging, prod)
• Improve release reliability and deployment speed

Monitoring, Reliability & Security

• Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
• Proactively identify and resolve performance bottlenecks and incidents
• Implement security best practices: IAM, secrets management, backups, and access controls

Cost Optimisation & Performance

• Monitor and optimise cloud costs (compute, databases, storage)
• Implement autoscaling, right-sizing, and resource optimisation
• Work with engineering teams to balance performance with cost efficiency

Required Qualifications & Skills

• 3–6 years of hands-on DevOps / Cloud Engineering experience
• Strong experience with GCP (or AWS with willingness to transition)
• Experience with Docker, Kubernetes, and containerised workloads
• Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
• Ability to troubleshoot production issues under pressure
• Experience with AI/ML workloads and GPU-based deployments

Job Responsibilities:

Section 1 -

- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.

Section 2 -

- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.

Section 3 -

- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.

Section 4 -

- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.

Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS

- Kubernetes and containers knowledge

- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)

- Understanding of serverless architecture. - High understanding of Networking concepts

- High understanding of Serverless architecture concept - Managing to monitor and alerting systems

- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

- AWS certification with between 2-4 years of experience with certification and project execution experience.

- Someone who is interested in building sustainable cloud architecture with automation on AWS.

- Someone who is interested in learning and being challenged on a day-to-day basis.

- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.

- Someone who is curious to analyze and solve complex problems.

- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.

Behavioral Traits

- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.

- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.

- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly

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.

• 2+ years work experience in a DevOps or similar role
• Knowledge of OO programming and concepts (Java, C++, C#, Python)
• A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
• Fluency in one or more scripting languages such as Python or Ruby.
• Familiarity with Microservice-based architectures
• Practical experience with Docker containerization and clustering (Kubernetes/ECS)
• In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
• Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
• Experience with AWS, Azure, or another cloud PaaS provider.
• Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
• Proficiency with source control, continuous integration, and testing pipelines
  
• Effective communication skills

• Deploy and maintain critical applications on cloud-native microservices architecture.
• Implement automation, effective monitoring, and infrastructure-as-code.
• Deploy and maintain CI/CD pipelines across multiple environments.
• Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
• Analyze how customers are using the platform and help drive continuous improvement.
• Support and work alongside a cross-functional engineering team on the latest technologies.
• Iterate on best practices to increase the quality & velocity of deployments.
• Sustain and improve the process of knowledge sharing throughout the engineering team
• Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
• Own daily operational goals with the team.

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –

• Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack 
• Building and Scaling on Kubernetes
• Ensuring the Security of Upswing Cloud Infra
• Building Security Checks and automation to improve overall security posture 
• Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
• Mentoring people across the teams to enable best practices 
• Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure

What will you do if you join us?

• Write a lot of code
• Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org 
• Taking Ownership of existing, ongoing, and future initiatives 
• Plan Architecture- for upcoming infrastructure
• Build for Scale, Resiliency & Security 
• Introduce best practices wrt Devops & Cloud in the team
• Mentor new/junior team members and eventually build your own team

You should have

• Curiosity for on-the-job learning and experimenting with new technologies and ideas
• A strong background in Linux environment
• Must have Programming skills and Experience
• Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
• Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
• Experience in Terraform is highly desirable but not mandatory
• Experience with Kubernetes and Docker is required 
• Understanding of the Java Technologies and Stack
• Any other Devops related experience will be considered

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• Azure Data Factory, Azure Data Bricks, Talend, BODS, Jenkins
• Microsoft Office (mandatory)
• Strong knowledge on Databases, Azure Synapse, data management, SQL
• Knowledge on any cloud platforms (Azure, AWS etc.,)

• You have experience of 2-4 years in building high-performance consumer-facing mobile applications at Product companies of a decent scale.
• You can write code preferably in Golang and Python.
• You have experience with debugging production issues and writing RCAs.
• You have demonstrable stories of being on-call and how outages have been handled.
• You have experience developing products on Kubernetes and cloud providers like GCP and AWS.
• You have worked with Cloud Native (CNCF) technologies.
• You have experience automating CI/CD pipelines.
• You are an excellent collaborator & communicator. You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company