
- You have a Bachelor's degree in computer science or equivalent
- You have at least 7 years of DevOps experience.
- You have deep understanding of AWS and cloud architectures/services.
- You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
- You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
- You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
- You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
- You have a track record of delivering successful solutions and collaborating with others.
- You take security into account when building new systems.

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Job Description
What does a successful Senior DevOps Engineer do at Fiserv?
This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.
What will you do:
• Build, manage, and deploy CI/CD pipelines.
• DevOps Engineer - Helm Chart, Rundesk, Openshift
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.
• Implementing various development, testing, automation tools, and IT infrastructure
• Optimize and automate release/development cycles and processes.
• Be part of and help promote our DevOps culture.
• Identify and implement continuous improvements to the development practice
What you must have:
• 3+ years of experience in devops with hands-on experience in the following:
- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks
- Building docker images and running/managing docker instances
- Building Jenkins pipelines using groovy scripts
- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes
• Has good understanding on infrastructure as code
• Ability to write and update documentation
• Demonstrate a logical, process orientated approach to problems and troubleshooting
• Ability to collaborate with multi development teams
What you are preferred to have:
• 8+ years of development experience
• Jenkins administration experience
• Hands-on experience in building and deploying helm charts
Process Skills:
• Should have worked in Agile Project
Behavioral Skills :
• Good Communication skills
Skills
PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100
Roles & Responsibilities:
- Bachelor’s degree in Computer Science, Information Technology or a related field
- Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
- Knowledge in Linux/Unix Administration and Python/Shell Scripting
- Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
- Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
- Experience in enterprise application development, maintenance and operations
- Knowledge of best practices and IT operations in an always-up, always-available service
- Excellent written and oral communication skills, judgment and decision-making skills

We are now seeking a talented and motivated individual to contribute to our product in the Cloud data
protection space. Ability to clearly comprehend customer needs in a cloud environment, excellent
troubleshooting skills, and the ability to focus on problem resolution until completion are a requirement.
Responsibilities Include:
Review proposed feature requirements
Create test plan and test cases
Analyze performance, diagnosis, and troubleshooting
Enter and track defects
Interact with customers, partners, and development teams
Researching customer issues and product initiatives
Provide input for service documentation
Required Skills:
Bachelor's degree in Computer Science, Information Systems or related discipline
3+ years' experience inclusive of Software as a Service and/or DevOps engineering experience
Experience with AWS services like VPC, EC2, RDS, SES, ECS, Lambda, S3, ELB
Experience with technologies such as REST, Angular, Messaging, Databases, etc.
Strong troubleshooting skills and issue isolation skills
Possess excellent communication skills (written and verbal English)
Must be able to work as an individual contributor within a team
Ability to think outside the box
Experience in configuring infrastructure
Knowledge of CI / CD
Desirable skills:
Programming skills in scripting languages (e.g., python, bash)
Knowledge of Linux administration
Knowledge of testing tools/frameworks: TestNG, Selenium, etc
Knowledge of Identity and Security
Main tasks
- Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
- Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
- Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
- Implementation of installations of the solution especially in the container context
- Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
- Maintenance of the system installation documentation and implementation of trainings
Execution of internal software tests and support of involved teams and stakeholders
- Hands on Experience with Azure DevOps.
Qualification profile
- Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
- Experience in software
- Installation and administration of Linux and Windows systems including network and firewalling aspects
- Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
- Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
- Server environments, especially application, web-and database servers
- Knowledge in VMware/K3D/Rancer is an advantage
- Good spoken and written knowledge of English
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirements
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must-Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash, shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Nagios or similar), IaC(Terraform, cloud formation).
Senior Devops Engineer
Who are we?
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.
What do we believe?
- Best practices are overrated
- Implementing best practices can only make one n ‘average’ .
- Honesty and Transparency
- We believe in naked truth. We do what we tell and tell what we do.
- Client Partnership
- Client - Vendor relationship: No. We partner with clients instead.
- And our sales team comprises 100% of our clients.
How do we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.
- Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
- Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
- Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
- Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
- Innovative: Innovate or Die. We love to challenge the status quo.
- Experimental: We encourage curiosity & making mistakes.
- Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
- Love for cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
- Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
- Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen.
- Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
Introduction
When was the last time you thought about rebuilding your smart phone charger using solar panels on your backpack OR changed the sequencing of switches in your bedroom (on your own, of course) to make it more meaningful OR pointed out an engineering flaw in the sequencing of traffic signal lights to a fellow passenger, while he gave you a blank look? If the last time this happened was more than 6 months ago, you are a dinosaur for our needs. If it was less than 6 months ago, did you act on it? If yes, then let’s talk.
We are quite keen to meet you if:
- You eat, dream, sleep and play with Cloud Data Store & engineering your processes on cloud architecture
- You have an insatiable thirst for exploring improvements, optimizing processes, and motivating people.
- You like experimenting, taking risks and thinking big.
3 things this position is NOT about:
- This is NOT just a job; this is a passionate hobby for the right kind.
- This is NOT a boxed position. You will code, clean, test, build and recruit & energize.
- This is NOT a position for someone who likes to be told what needs to be done.
3 things this position IS about:
- Attention to detail matters.
- Roles, titles, ego does not matter; getting things done matters; getting things done quicker & better matters the most.
- Are you passionate about learning new domains & architecting solutions that could save a company millions of dollars?
Roles and Responsibilities
This is an entrepreneurial Cloud/DevOps Lead position that evolves to the Director- Cloud engineering .This position requires fanatic iterative improvement ability - architect a solution, code, research, understand customer needs, research more, rebuild and re-architect, you get the drift. We are seeking hard-core-geeks-turned-successful-techies who are interested in seeing their work used by millions of users the world over.
Responsibilities:
- Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies
- Design, deploy and maintain Cloud infrastructure for Clients – Domestic & International
- Develop tools and automation to make platform operations more efficient, reliable and reproducible
- Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure
- Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools
- Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners
- Take initiatives to lead, drive and solve during challenging scenarios
Requirements:
- 3 + Years of experience in Cloud Infrastructure and Operations domains
- Experience with Linux systems, RHEL/CentOS preferred
- Specialize in one or two cloud deployment platforms: AWS, GCP, Azure
- Hands on experience with AWS services (EC2, VPC, RDS, DynamoDB, Lambda)
- Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net)
- Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
- Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef
- Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)
- Deep experience in customer facing roles with a proven track record of effective verbal and written communications
- Dependable and good team player
- Desire to learn and work with new technologies
Key Success Factors
- Are you
- Likely to forget to eat, drink or pee when you are coding?
- Willing to learn, re-learn, research, break, fix, build, re-build and deliver awesome code to solve real business/consumer needs?
- An open source enthusiast?
- Absolutely technology agnostic and believe that business processes define and dictate which technology to use?
- Ability to think on your feet, and follow-up with multiple stakeholders to get things done
- Excellent interpersonal communication skills
- Superior project management and organizational skills
- Logical thought process; ability to grasp customer requirements rapidly and translate the same into technical as well as layperson terms
- Ability to anticipate potential problems, determine and implement solutions
- Energetic, disciplined, with a results-oriented approach
- Strong ethics and transparency in dealings with clients, vendors, colleagues and partners
- Attitude of ‘give me 5 sharp freshers and 6 months and I will rebuild the way people communicate over the internet.
- You are customer-centric, and feel strongly about building scalable, secure, quality software. You thrive and succeed in delivering high quality technology products in a growth environment where priorities shift fast.

Must Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery









