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- Expertise in Infrastructure & Application design & architecture
- Expertise in AWS, OS & networking
- Having good exposure on Infra & Application security
- Expertise in Python, Shell scripting
- Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
- Solid background in systems engineering and operations
- Strong in Devops methodologies and processes
- Strong in CI/CD pipeline & SDLC.
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.

AI & ML (45 Days – Live Hands‑On)
Program Fee: ₹25,000
Duration: 45 Days
Mode: Hybrid (Online Sessions + Live Lab Access)
Eligibility: Freshers, Final‑Year Students, and Career Switchers
About the Internship
This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.
Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:
- Cloud/Infra Engineer
- DevOps Engineer
- Security Analyst
- AI/ML Engineer
- Site Reliability Engineer (SRE)
Key Highlights
- 45 days of practical, mentor-led training
- Live production-style projects and deployments
- Hands‑on experience with:
- AWS / Azure Cloud
- Terraform, CI/CD, Docker, Kubernetes
- Security Hardening & IAM
- Python ML pipelines & model deployment
- Architect & deploy real systems using best practices
- Build portfolio-ready projects
- Receive an industry-recognized Internship Certificate
What You Will Learn
1️⃣ Cloud Infrastructure & DevOps
- Cloud fundamentals (AWS/Azure/GCP)
- Linux administration & scripting
- VPC, Subnets, Routing, NAT, Firewalls
- EC2 provisioning & autoscaling
- Load balancing & High Availability
- Terraform for Infrastructure as Code
- CI/CD pipelines using Jenkins / GitHub Actions
- Docker containerization & Kubernetes basics
2️⃣ Cybersecurity & Cloud Security
- IAM roles, policies, access control
- Server security & hardening
- SSL/TLS, encryption, key management
- Secure VPC & subnet design
- Threat detection & logging
- Secrets management
- Network segmentation & firewall best practices
3️⃣ AI & Machine Learning
- Python for ML
- Supervised and unsupervised algorithms
- Data preprocessing & model training
- Model evaluation & optimization
- Build ML inference APIs using FastAPI/Flask
- Containerize and deploy ML models to cloud
- Integrate monitoring for ML workflows
✅ Live Hands‑On Projects
Interns will work on real-world, production-grade projects such as:
- Deploy a secure 3‑tier web application on cloud
- Automate infra provisioning using Terraform
- Build CI/CD pipelines for automated deployments
- Harden servers & configure security groups, IAM
- Develop and deploy an ML model as a cloud API
- Create monitoring dashboards with Prometheus/Grafana
- End-to-end system deployment with logging and alerting
Each intern will complete a Capstone Project and present it during the final evaluation.
✅ Internship Deliverables
- Internship Completion Certificate
- 3+ Production‑level projects
- GitHub portfolio with all code and deployments
- Cloud & ML documentation
- Resume enhancement and guidance
- Career mentoring + interview preparation
✅ Who Should Apply
This internship is ideal for:
- Fresh graduates
- Final‑year engineering or IT students
- BSc, BCA, MCA, B.Tech learners
- Professionals switching careers to Cloud/DevOps/AI
- Anyone seeking hands‑on, real‑time industry experience
✅ Program Fee
₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)
✅ Certificate Provided
All participants will receive a verified Internship Certificate, including:
- Candidate Name
- Internship Duration & Dates
- Skills Covered
- Project Evaluation Score
- Authorized Signatory & Company Seal
We are looking for a passionate DevOps Engineer who can support deployment and monitor our Production, QE, and Staging environments performance. Applicants should have a strong understanding of UNIX internals and should be able to clearly articulate how it works. Knowledge of shell scripting & security aspects is a must. Any experience with infrastructure as code is a big plus. The key responsibility of the role is to manage deployments, security, and support of business solutions. Having experience in database applications like Postgres, ELK, NodeJS, NextJS & Ruby on Rails is a huge plus. At VakilSearch. Experience doesn't matter, passion to produce change matters
Responsibilities and Accountabilities:
- As part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the infra components of VakilSearch’s product which are hosted in cloud services & on-prem facility
- Design, build tools and framework that support deploying and managing our platform & Exploring new tools, technologies, and processes to improve speed, efficiency, and scalability
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restore of different Env
- Manage resources in a cost-effective, innovative manner including assisting subordinates ineffective use of resources and tools
- Resolve incidents as escalated from Monitoring tools and Business Development Team
- Implement and follow security guidelines, both policy and technology to protect our data
- Identify root cause for issues and develop long-term solutions to fix recurring issues and Document it
- Strong in performing production operation activities even at night times if required
- Ability to automate [Scripts] recurring tasks to increase velocity and quality
- Ability to manage and deliver multiple project phases at the same time
I Qualification(s):
- Experience in working with Linux Server, DevOps tools, and Orchestration tools
- Linux, AWS, GCP, Azure, CompTIA+, and any other certification are a value-add
II Experience Required in DevOps Aspects:
- Length of Experience: Minimum 1-4 years of experience
- Nature of Experience:
- Experience in Cloud deployments, Linux administration[ Kernel Tuning is a value add ], Linux clustering, AWS, virtualization, and networking concepts [ Azure, GCP value add ]
- Experience in deployment solutions CI/CD like Jenkins, GitHub Actions [ Release Management is a value add ]
- Hands-on experience in any of the configuration management IaC tools like Chef, Terraform, and CloudFormation [ Ansible & Puppet is a value add ]
- Administration, Configuring and utilizing Monitoring and Alerting tools like Prometheus, Grafana, Loki, ELK, Zabbix, Datadog, etc
- Experience with Containerization and orchestration tools like Docker, and Kubernetes [ Docker swarm is a value add ]Good Scripting skills in at least one interpreted language - Shell/bash scripting or Ruby/Python/Perl
- Experience in Database applications like PostgreSQL, MongoDB & MySQL [DataOps]
- Good at Version Control & source code management systems like GitHub, GIT
- Experience in Serverless [ Lambda/GCP cloud function/Azure function ]
- Experience in Web Server Nginx, and Apache
- Knowledge in Redis, RabbitMQ, ELK, REST API [ MLOps Tools is a value add ]
- Knowledge in Puma, Unicorn, Gunicorn & Yarn
- Hands-on VMWare ESXi/Xencenter deployments is a value add
- Experience in Implementing and troubleshooting TCP/IP networks, VPN, Load Balancing & Web application firewalls
- Deploying, Configuring, and Maintaining Linux server systems ON premises and off-premises
- Code Quality like SonarQube is a value-add
- Test Automation like Selenium, JMeter, and JUnit is a value-add
- Experience in Heroku and OpenStack is a value-add
- Experience in Identifying Inbound and Outbound Threats and resolving it
- Knowledge of CVE & applying the patches for OS, Ruby gems, Node, and Python packages
- Documenting the Security fix for future use
- Establish cross-team collaboration with security built into the software development lifecycle
- Forensics and Root Cause Analysis skills are mandatory
- Weekly Sanity Checks of the on-prem and off-prem environment
III Skill Set & Personality Traits required:
- An understanding of programming languages such as Ruby, NodeJS, ReactJS, Perl, Java, Python, and PHP
- Good written and verbal communication skills to facilitate efficient and effective interaction with peers, partners, vendors, and customers
IV Age Group: 21 – 36 Years
V Cost to the Company: As per industry standards
· Strong knowledge on Windows and Linux
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description :
- Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
- Extensive AWS/GCP Core Infrastructure skills
- Infrastructure/ IAC Automation, Integration - Terraform
- Kubernetes resources engineering and management
- Experience with DevOps tools, CICD pipelines and release management
- Good at creating documentation(runbooks, design documents, implementation plans )
Linux Experience :
- Namespace
- Virtualization
- Containers
Networking Experience
- Virtual networking
- Overlay networks
- Vxlans, GRE
Kubernetes Experience :
Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.
Observability
Experience in observability is a plus
Cloud automation :
Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

at Altimetrik
Java with cloud
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Core Java, SpringBoot, MicroServices |
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- DB2 or any RDBMS database application development |
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- Linux OS, shell scripting, Batch Processing |
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- Troubleshooting Large Scale application |
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- Experience in automation and unit test framework is a must |
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- AWS Cloud experience desirable |
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- Agile Development Experience |
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- Complete Development Cycle ( Dev, QA, UAT, Staging) |
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- Good Oral and Written Communication Skills |
Hi ,
Greetings from ToppersEdge.com India Pvt Ltd
We have job openings for our Client. Kindly find the details below:
Work Location : Bengaluru(remote axis presently)later on they should relocate to Bangalore.
Shift Timings – general shift
Job Type – Permanent Position
Experience – 3-7 years
Candidate should be from Product Based Company only
Job Description
We are looking to expand our DevOps team. This team is responsible for writing scripts to set up infrastructure to support 24*7 availability of the Netradyne services. The team is also responsible for setting up monitoring and alerting, to troubleshoot any issues reported in multiple environments. The team is responsible for triaging of production issues and providing appropriate and timely response to customers.
Requirements
- B Tech/M Tech/MS in Computer Science or a related field from a reputed university.
- Total industry experience of around 3-7 years.
- Programming experience in Python, Ruby, Perl or equivalent is a must.
- Good knowledge and experience of configuration management tool (like Ansible, etc.)
- Good knowledge and experience of provisioning tools (like Terraform, etc.)
- Good knowledge and experience with AWS.
- Experience with setting up CI/CD pipelines.
- Experience, in individual capacity, managing multiple live SaaS applications with high volume, high load, low-latency and high availability (24x7).
- Experience setting up web servers like apache, application servers like Tomcat/Websphere and databases (RDBMS and NoSQL).
- Good knowledge of UNIX (Linux) administration tools.
- Good knowledge of security best practices and knowledge of relevant tools (Firewalls, VPN) etc.
- Good knowledge of networking concepts and UNIX administration tools.
- Ability to troubleshoot issues quickly is required.
Requirements:-
- Bachelor’s Degree or Master’s in Computer Science, Engineering,Software Engineering or a relevant field.
- Strong experience with Windows/Linux-based infrastructures, Linux/Unix administration.
- knowledge of Jira, Bitbucket, Jenkins, Xray, Ansible, Windows and .Net. as their Core Skill.
- Strong experience with databases such as SQL, MS SQL, MySQL, NoSQL.
- Knowledge of scripting languages such as Shell Scripting /Python/ PHP/Groovy, Bash.
- Experience with project management and workflow tools such as Agile, Jira / WorkFront etc.
- Experience with open-source technologies and cloud services.
- Experience in working with Puppet or Chef for automation and configuration.
- Strong communication skills and ability to explain protocol and processes with team and management.
- Experience in a DevOps Engineer role (or similar role)
- AExperience in software development and infrastructure development is a plus
Job Specifications:-
- Building and maintaining tools, solutions and micro services associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.
- Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch.
- Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
- Deploy product updates as required while implementing integrations when they arise.
- Automate our operational processes as needed, with accuracy and in compliance with our security requirements.
- Specifying, documenting and developing new product features, and writing automating scripts. Manage code deployments, fixes, updates and related processes.
- Work with open-source technologies as needed.
- Work with CI and CD tools, and source control such as GIT and SVN.
- Lead the team through development and operations.
- Offer technical support where needed, developing software for our back-end systems.
Your skills and experience should cover:
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5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
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Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
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5+ years of experience using one or more modern programming languages (Python, Node.js).
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Hands-on experience migrating data to the AWS cloud platform
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Experience with Scrum/Agile methodology.
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Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
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Experience with AWS Data Storage Tools.
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Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
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Experience working with GIT, or similar tools.
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Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
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Experience with Docker
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Experience with PostgreSQL database


