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Job Title : IBM Sterling Integrator Developer

Experience : 3 to 5 Years

Locations : Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, Pune

Employment Type : Full-Time

Job Description :

We are looking for a skilled IBM Sterling Integrator Developer with 3–5 years of experience to join our team across multiple locations.

The ideal candidate should have strong expertise in IBM Sterling and integration, along with scripting and database proficiency.

Key Responsibilities :

• Develop, configure, and maintain IBM Sterling Integrator solutions.
• Design and implement integration solutions using IBM Sterling.
• Collaborate with cross-functional teams to gather requirements and provide solutions.
• Work with custom languages and scripting to enhance and automate integration processes.
• Ensure optimal performance and security of integration systems.

Must-Have Skills :

• Hands-on experience with IBM Sterling Integrator and associated integration tools.
• Proficiency in at least one custom scripting language.
• Strong command over Shell scripting, Python, and SQL (mandatory).
• Good understanding of EDI standards and protocols is a plus.

Interview Process :

• 2 Rounds of Technical Interviews.

Additional Information :

• Open to candidates from Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, and Pune.

Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting

Key Responsibilities

• Automation & Reliability: Automate infrastructure and operational processes to ensure high reliability, scalability, and security.
• Cloud Infrastructure Design: Gather GCP infrastructure requirements, evaluate solution options, and implement best-fit cloud architectures.
• Infrastructure as Code (IaC): Design, develop, and maintain infrastructure using Terraform and Ansible.
• CI/CD Ownership: Build, manage, and maintain robust CI/CD pipelines using Jenkins, ensuring system reliability and performance.
• Container Orchestration: Manage Docker containers and self-managed Kubernetes clusters across multiple cloud environments.
• Monitoring & Observability: Implement and manage cloud-native monitoring solutions using Prometheus, Grafana, and the ELK stack.
• Proactive Issue Resolution: Troubleshoot and resolve infrastructure and application issues across development, testing, and production environments.
• Scripting & Automation: Develop efficient automation scripts using Python and one or more of Node.js, Go, or Shell scripting.
• Security Best Practices: Maintain and enhance the security of cloud services, Kubernetes clusters, and deployment pipelines.
• Cross-functional Collaboration: Work closely with engineering, product, and security teams to design and deploy secure, scalable infrastructure.

Your 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.

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Must Have -

a. Background working with Startups

b. Good knowledge of Kubernetes & Docker

c. Background working in Azure

What you’ll be doing

• Ensure that our applications and environments are stable, scalable, secure and performing as expected.
• Proactively engage and work in alignment with cross-functional colleagues to understand their requirements, contributing to and providing suitable supporting solutions.
• Develop and introduce systems to aid and facilitate rapid growth including implementation of deployment policies, designing and implementing new procedures, configuration management and planning of patches and for capacity upgrades
• Observability: ensure suitable levels of monitoring and alerting are in place to keep engineers aware of issues.
• Establish runbooks and procedures to keep outages to a minimum. Jump in before users notice that things are off track, then automate it for the future.
• Automate everything so that nothing is ever done manually in production.
• Identify and mitigate reliability and security risks. Make sure we are prepared for peak times,
• DDoS attacks and fat fingers.
• Troubleshoot issues across the whole stack - software, applications and network.
• Manage individual project priorities, deadlines, and deliverables as part of a self-organizing team.
• Learn and unlearn every day by exchanging knowledge and new insights, conducting constructive code reviews, and participating in retrospectives.

Requirements

• 2+ years extensive experience of Linux server administration include patching, packaging (rpm), performance tuning, networking, user management, and security.
• 2+ years of implementing systems that are highly available, secure, scalable, and self-healingon Azure cloud platform
• Strong understanding of networking, especially in cloud environments along with a good understanding of CICD.
• Prior experience implementing industry standard security best practices, including those recommended by Azure
• Proficiency with Bash, and any high-level scripting language.
• Basic working knowledge of observability stacks like ELK, prometheus, grafana, Signoz etc
• Proficiency with Infrastructure as Code and Infrastructure Testing, preferably using Pulumi/Terraform.
• Hands-on experience in building and administering VMs and Containers using tools such as Docker/Kubernetes.
• Excellent communication skills, spoken as well as written, with a demonstrated ability to articulate technical problems and projects to all stakeholders.

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

Role : Principal Devops Engineer

About the Client

It is a Product base company that has to build a platform using AI and ML technology for their transportation and logiticsThey also have a presence in the global market

Responsibilities and Requirements

• 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 skill

• 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
• At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
• At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
• Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
• Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
• Strong know-how on VA/PT integration in CI/CD pipeline.
• Experience in handling financial solutions & customer-facing applications

Roles

• Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
• Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
• Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
• Maximize automation and enhance DevSecOps pipelines and other tasks
• Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
• Operate and support a suite of enterprise DevSecOps services
• Implement security automation to decrease the loop between the development and deployment processes.
• Support project teams to adopt & integrate the DevSecOps environment
• Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
• Coordinate with development and operations teams for practical automation solutions and custom flows.
• Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
• Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
• Build workflows to ensure a successful DevSecOps journey for various enterprise applications. 
• Understand the strategic direction to reach business goals across multiple projects & teams
• Collaborate with development teams to understand project deliverables and promote DevSecOps culture
• Formulate & deploy cloud automation strategies and tools

Skills

• Knowledge of the DevSecOps culture and principles.
• An understanding of cloud technologies & components
• A flair for programming languages such as Shell, Python, Java Scripts,
• Strong teamwork and communication skills.
• Knowledge of threat modeling and risk assessment techniques.
• Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
• An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
• Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
• On the job learning for new programming languages, automation tools, deployment architectures