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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

We are seeking an experienced Operations Lead to drive operational excellence and lead a dynamic team in our fast-paced environment. The ideal candidate will combine strong technical expertise in Python with proven leadership capabilities to optimize processes, ensure system reliability, and deliver results.

Key Responsibilities

• Team & stakeholder leadership - Lead 3-4 operations professionals and work cross-functionally with developers, system administrators, quants, and traders

• DevOps automation & deployment - Develop deployment pipelines, automate configuration management, and build Python-based tools for operational processes and system optimization

• Technical excellence & standards - Drive code reviews, establish development standards, ensure regional consistency with DevOps practices, and maintain technical documentation

• System operations & performance - Monitor and optimize system performance for high availability, scalability, and security while managing day-to-day operations

• Incident management & troubleshooting - Coordinate incident response, resolve infrastructure and deployment issues, and implement automated solutions to prevent recurring problems

• Strategic technical leadership - Make infrastructure decisions, identify operational requirements, design scalable architecture, and stay current with industry best practices

• Reporting & continuous improvement - Report on operational metrics and KPIs to senior leadership while actively contributing to DevOps process improvements

Qualifications and Experience

• Bachelor's degree in Computer Science, Engineering, or related technical field
• Proven experience of at least 5 years as a Software Engineer including at least 2 years as a DevOps Engineer or similar role, working with complex software projects and environments.
• Excellent knowledge with cloud technologies, containers and orchestration.
• Proficiency in scripting and programming languages such as Python and Bash.
• Experience with Linux operating systems and command-line tools.
• Proficient in using Git for version control.

Good to Have

• Experience with Nagios or similar monitoring and alerting systems
• Backend and/or frontend development experience for operational tooling
• Previous experience working in a trading firm or financial services environment
• Knowledge of database management and SQL
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience with DevOps practices and CI/CD pipelines
• Understanding of network protocols and system administration

Why You’ll Love Working Here

We’re a team that hustles—plain and simple. But we also believe life outside work matters. No cubicles, no suits—just great people doing great work in a space built for comfort and creativity.

Here’s what we offer:

💰 Competitive salary – Get paid what you’re worth.

🌴 Generous paid time off – Recharge and come back sharper.

🌍 Work with the best – Collaborate with top-tier global talent.

✈️ Adventure together – Annual offsites (mostly outside India) and regular team outings.

🎯 Performance rewards – Multiple bonuses for those who go above and beyond.

🏥 Health covered – Comprehensive insurance so you’re always protected.

⚡ Fun, not just work – On-site sports, games, and a lively workspace.

🧠 Learn and lead – Regular knowledge-sharing sessions led by your peers.

📚 Annual Education Stipend – Take any external course, bootcamp, or certification that makes you better at your craft.

🏋️ Stay fit – Gym memberships with equal employer contribution to keep you at your best.

🚚 Relocation support – Smooth move? We’ve got your back.

🏆 Friendly competition – Work challenges and extracurricular contests to keep things exciting.

We work hard, play hard, and grow together. Join us.

(P.S. We hire for talent, not pedigree—but if you’ve worked at a top tech co or fintech startup, we’d love to hear how you’ve shipped great products.)

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.

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

LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience 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

• 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