Staff Devops Engineer at Lytx

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

0.0

Posted On

03 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, AWS, Terraform, CI/CD, GitOps, Docker, Python, Ansible, Kafka, MQTT, MLOps, Infrastructure as Code, Linux, Networking, System Administration, Bash

Industry

Software Development

Description

Job Description You’ll Get To: Evaluate and oversee the implementation of innovative technologies aimed at improving the efficiency, performance, and reliability of the Lytx Infrastructure. Engage with innovative technologies such as Kubernetes, MQTT, and Kafka. Implement new systems and frameworks to bolster a global IoT platform and elevate it to the next level. Develop and deliver innovative solutions that empower engineering teams. Develop and implement MLOps practices to improve the speed, efficiency, and quality of our AI/ML deployments. Design Data/Machine Learning pipelines to transform Data/Machine Learning features. Propel and execute enhancements in capacity, reliability, availability, monitoring, and performance of core and supporting systems. Fulfill other assigned duties. What You Need: A bachelor's/master’s degree with a technical major or equivalent experience. 9+ years of experience in designing, building, and supporting Infrastructure Architecture, CI/CD, and production operations within a hybrid On-Premises/Cloud environment. Expertise in DevOps principles, practices, and technologies, including GitOps, Amazon Web Services (AWS), and Terraform, or other Infrastructure as Code (IaC) tools. Proficiency in building CI/CD pipelines, with preference given to experience with GitHub and ArgoCD. Proficiency in managing Kubernetes and various container and cloud-native technologies. Proven experience in security best practices, including identity and access management, encryption, and vulnerability assessments. Strong knowledge of containerization technologies such as OpenShift, Kubernetes, and Docker. Expertise in scripting/automation using tools like PowerShell, BASH, Python, Perl, Ansible, and Terraform. Provide coaching, mentoring, and training for new or less experienced team members. Knowledge of Systems Administration/System Engineering with Microsoft Windows/Linux. Familiarity with networking concepts such as routing, load balancing, DNS, content delivery, and domain trusts. Excellent documentation and interpersonal skills, with the ability to present technical content to management and engineering teams. Hands-on experience with AWS compute and storage services including EKS, ECS, Lambda, EC2, MSK, AMIs, Redshift, Kinesis, RDS, DynamoDB, ElastiCache, S3, and Glacier. Collaborate with engineering teams to enhance their productivity, ensure they operate on reliable and scalable systems, and advocate for best practices, including GitOps principles. Preferred: AWS Advanced and Specialty level Certifications. Experience with ML and Data platforms, including developing and implementing MLOps practices and designing Data/Machine Learning pipelines. Experience in managing middleware systems - Service Mesh, API Gateway, Kafka, and MQTT. You’re driven to succeed and so are we. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other. If you’re looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we’d love to meet you. Together, we’re helping make roadways safer and saving lives! Lytx, Inc. is proud to be an equal opportunity employer. We’re committed to building a diverse and inclusive workforce and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, gender, genetic information, uniformed service, national origin, age, veteran status, disability, pregnancy, or any other status protected by federal or state law. We are committed to providing reasonable accommodation for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email TA@lytx.com. Lytx conducts background checks on applicants who receive a conditional offer of employment in accordance with applicable local, state, federal and regional laws. Qualified applicants with arrest or conviction records will be considered. Background check results may potentially result in the withdrawal of a conditional offer of employment and will be made in accordance with all applicable local, state, federal and regional laws. Lytx® is a leading provider of video telematics, analytics, safety and productivity solutions for commercial and public sector fleets. Our unrivaled Driver Safety Program, powered by our best-in-class DriveCam® Event Recorder, is proven to help save lives and reduce risk. We harness the power of video to help clients see what happened in the past, manage their operations more efficiently in the present and improve driver behavior to change the future. Our customizable services and programs span driver safety, risk detection, fleet tracking, compliance and fuel management. Using the world’s largest driving database of its kind, along with proprietary machine vision and artificial intelligence technology, we help protect and connect thousands of fleets and more than one million drivers worldwide. For more information, visit www.lytx.com, @lytx on X, LinkedIn, our Facebook page or YouTube channel. Private Notice: Please see Lytx’s Global Human Resources Privacy Statement for more information related to Personal Information we process and store related to our applicants.

Responsibilities

The Staff DevOps Engineer will oversee the implementation of innovative infrastructure technologies and develop MLOps practices to improve AI/ML deployment efficiency. They will also design data pipelines and provide technical mentorship to engineering teams to ensure system reliability and scalability.