Te software services Jobs

SR DEVOPS ENGINEER
TE Connectivity —Bengaluru, Karnataka
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- Communication skills
Technical Leader
Cisco Systems —Bengaluru, Karnataka
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
PRODUCT ENGINEER
TE Connectivity —Bengaluru, Karnataka
- CAD
- Analysis skills
- Presentation skills
Solution Architect – Order To Cash
Diageo —Bengaluru, Karnataka
- Full-time
- Salesforce
- Agile
MANUFACTURING ENGINEER I
TE Connectivity —Pune, Maharashtra
- Assembly
- Programmable logic controllers
- Electrical experience
VAVE Engineer II - Teardown & Benchmarking
TE Connectivity —Bengaluru, Karnataka
- AutoCAD
- Analysis skills
- Electrical experience
MGR II R&D/PRODUCT DVL ENGINEERING
TE Connectivity —Bengaluru, Karnataka
- Doctoral degree
- CAD
- Master's degree
R&D/PRODUCT DVL ENGINEER II - Mechanical Fiber Optics
TE Connectivity —Bengaluru, Karnataka
- AutoCAD
- CAD
- Analysis skills
Senior - Oracle HCM
KPMG —Noida, Uttar Pradesh
- Oracle
- ERP systems
- Master's degree
SR. DEVOPS ENGINEER and MLOps Engineer
TE Connectivity —Bengaluru, Karnataka
- Computer Science
- DevOps
- Master's degree
Senior iOS Developer
Propel Technology Group —Chennai, Tamil Nadu
- Computer science
Network Escalation Engineer
Cisco Systems —Bengaluru, Karnataka
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SR MFG & PROCESS DVL ENGINEER(High Speed Stamping Engineer)
TE Connectivity —Bengaluru, Karnataka
- AutoCAD
- B.Sc
- English
- Health insurance
- Flexible schedule
SR PROJECT MANAGER ENGINEER
TE Connectivity —Bengaluru, Karnataka
- PMP
- Engineering
- Project management
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STAFF R&D/PRODUCT DVL ENGINEER
TE Connectivity —Bengaluru, Karnataka
- CAD
- Assembly
- Bachelor's degree
Network Management Solution Specialist
NOKIA —India
- Full-time
- Computer Science
- Java
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SR DEVOPS ENGINEER

TE Connectivity -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

CI/CD
Computer science
Cloud infrastructure
Azure
Go
Doctoral degree
Kubernetes
Git
Google Cloud Platform
Master's degree
Bash (Unix shell)
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Distributed systems
Terraform
Continuous integration
Scripting
GitHub
Linux
Jenkins
GitLab
Python

Full job description

The pace of innovation in artificial intelligence and machine learning continues to accelerate, and the Data and Devices Business Unit is at the center of this transformation. Our customers are building intelligent systems that redefine how data is processed, analyzed, and used across compute, networking, and cloud infrastructure. At TE Connectivity, we support this evolution by delivering scalable, high-quality software solutions that enable next-generation products.

This role is a strong fit for someone with a solid software engineering and infrastructure foundation who is passionate about building reliable development platforms and automated deployment systems. You will work closely with software engineers, data scientists, machine learning engineers, and IT teams to build and maintain the infrastructure required to develop, deploy, and operate modern software and AI solutions at scale.

Job Responsibilities

As a DevOps Engineer, you will design, build, and maintain infrastructure and automation systems that support software development, machine learning workflows, and production deployments. You will help implement CI/CD pipelines, manage cloud infrastructure, and ensure systems operate reliably and securely in production environments.

You will also play a key role in enabling development teams to move quickly by automating workflows, improving deployment processes, and ensuring infrastructure scalability and reliability.

Key Responsibilities

Infrastructure and Platform Engineering

Design, build, and maintain scalable infrastructure to support software and machine learning applications.
Develop and manage cloud environments and compute resources used for development, testing, and production workloads.
Implement infrastructure as code practices to enable reproducible and automated infrastructure deployment.
Ensure systems are designed for high availability, scalability, and operational resilience.

CI/CD and Automation

Design and maintain continuous integration and continuous deployment pipelines that automate build, testing, and deployment processes.
Implement automation tools that improve development productivity and reduce manual operational tasks.
Support version control workflows and automated testing processes across engineering teams.

Containerization and Cloud Platforms

Build and manage containerized environments using technologies such as Docker and Kubernetes.
Deploy and maintain applications and services across cloud platforms such as AWS, Azure, or Google Cloud.
Optimize infrastructure and deployment pipelines to support scalable workloads and distributed systems.

Monitoring and Reliability

Implement monitoring, logging, and alerting systems that ensure reliability of deployed services.
Track system performance and identify potential reliability or scalability issues.
Support incident response and root cause analysis for production system issues.

Security and Compliance

Ensure infrastructure and deployment systems follow security best practices.
Implement secure configuration management and access control policies.
Support compliance with enterprise IT and cybersecurity standards.

Collaboration and Enablement

Work closely with software engineers, ML engineers, and data scientists to support deployment of applications and machine learning models.
Provide guidance on DevOps best practices, automation strategies, and infrastructure design.
Collaborate with cross functional teams to improve system reliability and development workflows.

Required Skills & Competency

Bachelor’s with 5+ years, Master’s with 3+ years, or PhD with 0+ years of experience in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
Strong programming and scripting skills in languages such as Python, Bash, or Go.
Experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or similar platforms.
Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes.
Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or similar technologies.
Strong understanding of Linux systems, networking, and distributed system architectures.
Experience implementing monitoring and logging systems such as Prometheus, Grafana, ELK stack, or similar tools.
Strong analytical and problem-solving skills.
Ability to collaborate effectively with cross-functional engineering teams.
Clear communicator who works well in a collaborative team environment.
Self-motivated and eager to learn new technologies and continuously improve operational systems.
Ability to travel occasionally, up to 10%, for team meetings or training as needed.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Job Locations:

SURVEY NOS.11/1, 11/2, 11/4, 11/5, 23/4, 24/1
BANGALORE, Karnātaka 560048
India

Posting City: BANGALORE

Job Country: India

Travel Required: Less than 10%

Requisition ID: 150105

Workplace Type: Onsite

External Careers Page: Engineering & Technology

Apply Now

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