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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
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
Job Summary:
Seeking a seasoned SQL + ETL Developer with 4+ years of experience in managing large-scale datasets and cloud-based data pipelines. The ideal candidate is hands-on with MySQL, PySpark, AWS Glue, and ETL workflows, with proven expertise in AWS migration and performance optimization.
Key Responsibilities:
- Develop and optimize complex SQL queries and stored procedures to handle large datasets (100+ million records).
- Build and maintain scalable ETL pipelines using AWS Glue and PySpark.
- Work on data migration tasks in AWS environments.
- Monitor and improve database performance; automate key performance indicators and reports.
- Collaborate with cross-functional teams to support data integration and delivery requirements.
- Write shell scripts for automation and manage ETL jobs efficiently.
Required Skills:
- Strong experience with MySQL, complex SQL queries, and stored procedures.
- Hands-on experience with AWS Glue, PySpark, and ETL processes.
- Good understanding of AWS ecosystem and migration strategies.
- Proficiency in shell scripting.
- Strong communication and collaboration skills.
Nice to Have:
- Working knowledge of Python.
- Experience with AWS RDS.
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
What the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
• At least 4 years of hands-on experience with cloud infrastructure on GCP
• Hands-on-Experience on Kubernetes is a mandate
• Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
• Knowledge and hand-on-experience in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
• Knowledge and hand-on-experience on the various platforms (e.g. Gitlab, CircleCl and Spinnakar)
• Familiarity with monitoring and alerting tools (e.g. CloudWatch, ELK stack, Prometheus)
• Proven ability to work independently or as an integral member of a team
Preferable Skills:
• Familiarity with standard IT security practices such as encryption,
credentials and key management.
• Proven experience on various coding languages (Java, Python-) to
• support DevOps operation and cloud transformation
• Familiarity and knowledge of the web standards (e.g. REST APIs, web security mechanisms)
• Hands on experience with GCP
• Experience in performance tuning, services outage management and troubleshooting.
Attributes:
• Good verbal and written communication skills
• Exceptional leadership, time management, and organizational skill Ability to operate independently and make decisions with little direct supervision
● Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms
● Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset
● Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools
● Automate the development and test automation processes through CI/CD pipeline (Git, Jenkins, SonarQube, Artifactory, Docker containers)
● Build container hosting-platform using Kubernetes
● Introduce new cloud technologies, tools & processes to keep innovating in commerce area to drive greater business value.
Skills Required:
● Excellent written and verbal communication skills and a good listener.
● Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure – good hands-on experience in at least one of them)
● Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks.
● Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS, SQS) and automation (Eg. CFT/Terraform).
● Experience with relational SQL and NoSQL databases, including Postgres and
Cassandra.
● Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform)
● Strong Linux System Admin Experience with excellent troubleshooting and problem solving skills
● Hands-on experience with languages (Bash/Python/Core Java/Scala)
● Experience with CI/CD pipeline (Jenkins, Git, Maven etc)
● Experience integrating solutions in a multi-region environment
● Self-motivate, learn quickly and deliver results with minimal supervision
● Experience with Agile/Scrum/DevOps software development methodologies.
Nice to Have:
● Experience in setting-up Elastic Logstash Kibana (ELK) stack.
● Having worked with large scale data.
● Experience with Monitoring tools such as Splunk, Nagios, Grafana, DataDog etc.
● Previously experience on working with distributed architectures like Hadoop, Mapreduce etc.




