Job Role: Adaptive Autosar + Bootloader Developer
Mandatory Skills:
- Adaptive Autosar Development
- Bootloader Experience
- C++ Programming
- Hands-on experience with ISO 14229 (UDS Protocol)
- Experience in Flash Bootloader and Software Update topics
- Proficient in C++ and Python programming
- Application development experience in Service-Oriented Architectures
- Hands-on experience with QNX and Linux operating systems
- Familiarity with software development tools like CAN Analyzer, CANoe, and Debugger
- Strong problem-solving skills and the ability to work independently
- Exposure to the ASPICE Process is an advantage
- Excellent analytical and communication skills
Job Responsibilities:
- Engage in tasks related to the integration and development of Flash Bootloader (FBL) features and perform comprehensive testing activities.
- Collaborate continuously with counterparts in Germany to understand requirements and develop FBL features effectively.
- Create test specifications and meticulously document testing results.
Why Join InfoGrowth?
- Become part of an innovative team focused on transforming the automotive industry with cutting-edge technology.
- Work on exciting projects that challenge your skills and promote professional growth.
- Enjoy a collaborative environment that values teamwork and creativity.
š Apply Now to shape the future of automotive technology with InfoGrowth!
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About Lean Technologies
Lean is on a mission to revolutionize the fintech industry by providing developers with a universal API to access their customers' financial accounts across the Middle East. Weāre breaking down infrastructure barriers and empowering the growth of the fintech industry. With Sequoia leading our $33 million Series A round, Lean is poised to expand its coverage across the region while continuing to deliver unparalleled value to developers and stakeholders.
Join us and be part of a journey to enable the next generation of financial innovation. We offer competitive salaries, private healthcare, flexible office hours, and meaningful equity stakes to ensure long-term alignment. At Lean, you'll work on solving complex problems, build a lasting legacy, and be part of a diverse, inclusive, and equal opportunity workplace.
About the role:
Are you a highly motivated and experienced software engineer looking to take your career to the next level? Our team at Lean is seeking a talented engineer to help us build the distributed systems that allow our engineering teams to deploy our platform in multiple geographies across various deployment solutions. You will work closely with functional heads across software, QA, and product teams to deliver scalable and customizable release pipelines.
Responsibilities
- Distributed systems architecture ā understand and manage the most complex systems
- Continual reliability and performance optimization ā enhancing observability stack to improve proactive detection and resolution of issues
- Employing cutting-edge methods and technologies, continually refining existing tools to enhance performance and drive advancements
- Problem-solving capabilities ā troubleshooting complex issues and proactively reducing toil through automation
- Experience in technical leadership and setting technical direction for engineering projects
- Collaboration skills ā working across teams to drive change and provide guidance
- Technical expertise ā depth skills and ability to act as subject matter expert in one or more of: IAAC, observability, coding, reliability, debugging, system design
- Capacity planning ā effectively forecasting demand and reacting to changes
- Analyze and improve efficiency, scalability, and stability of various system resources
- Incident response ā rapidly detecting and resolving critical incidents. Minimizing customer impact through effective collaboration, escalation (including periodic on-call shifts) and postmortems
Requirements
- 10+ years of experience in Systems Engineering, DevOps, or SRE roles running large-scale infrastructure, cloud, or web services
- Strong background in Linux/Unix Administration and networking concepts
- We work on OCI but would accept candidates with solid GCP/AWS or other cloud providersā knowledge and experience
- 3+ years of experience with managing Kubernetes clusters, Helm, Docker
- Experience in operating CI/CD pipelines that build and deliver services on the cloud and on-premise
- Work with CI/CD tools/services like Jenkins/GitHub-Actions/ArgoCD etc.
- Experience with configuration management tools either Ansible, Chef, Puppet, or equivalent
- Infrastructure as Code - Terraform
- Experience in production environments with both relational and NoSQL databases
- Coding with one or more of the following: Java, Python, and/or Go
Bonus
- MultiCloud or Hybrid Cloud experience
- OCI and GCP
Why Join Us?
At Lean, we value talent, drive, and entrepreneurial spirit. We are constantly on the lookout for individuals who identify with our mission and values, even if they donāt meet every requirement. If you're passionate about solving hard problems and building a legacy, Lean is the right place for you. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, gender, sexual orientation, or disability.
Key Responsibilities:
- Work with the development team to plan, execute and monitor deployments
- Capacity planning for product deployments
- Adopt best practices for deployment and monitoring systems
- Ensure the SLAs for performance, up time are met
- Constantly monitor systems, suggest changes to improve performance and decrease costs.
- Ensure the highest standards of security
Key Competencies (Functional):
Ā
- Proficiency in coding in atleast one scripting language - bash, Python, etc
- Has personally managed a fleet of servers (> 15)
- Understand different environments production, deployment and staging
- Worked in micro service / Service oriented architecture systems
- Has worked with automated deployment systems ā Ansible / Chef / Puppet.
- Can write MySQL queries
We will share our workload as a team and we expect you to work on a broad range of tasks. Hereās are some of the things you might have to do on any given day:
- Developing APIs and endpoints for deployments of our product
- Infrastructure Development such as building databases, creating and maintaining automated jobs
- Build out the back-end to deploy and scale our product
- Build POCs for client deployments
- Document your code, write test cases, etc.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Ensuring reliable operation of CI/ CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creating Docker files
- Creating Bash/ Python scripts for automation.
- Performing root cause analysis for production errors.
Ā
What you need to have:- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
Ā
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform,Ā AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
ā¢ At least 4 years of hands-on experience with cloud infrastructure on GCP
ā¢ Hands-on-Experience on Kubernetes is a mandate
ā¢ Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
ā¢ Knowledge and hand-on-experience in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
ā¢ Knowledge and hand-on-experience on the various platforms (e.g. Gitlab, CircleCl and Spinnakar)
ā¢ Familiarity with monitoring and alerting tools (e.g. CloudWatch, ELK stack, Prometheus)
ā¢ Proven ability to work independently or as an integral member of a team
Preferable Skills:
ā¢ Familiarity with standard IT security practices such as encryption,
credentials and key management.
ā¢ Proven experience on various coding languages (Java, Python-) to
ā¢ support DevOps operation and cloud transformation
ā¢ Familiarity and knowledge of the web standards (e.g. REST APIs, web security mechanisms)
ā¢ Hands on experience with GCP
ā¢ Experience in performance tuning, services outage management and troubleshooting.
Attributes:
ā¢ Good verbal and written communication skills
ā¢ Exceptional leadership, time management, and organizational skill Ability to operate independently and make decisions with little direct supervision
BENEFITS: -
Ā Competitive salary and stock options -
Ā Premium medical benefitsĀ
LOCATION: - Remote (India)Ā
EDUCATION AND EXPERIENCE -Ā
Degree in computer science, software engineering, or a related field -Ā
At least 3-5 years of professional work experience as aĀ
DevOps / test automation / deployment engineer -
Ā Experience in agile software development methodologiesĀ
Ā
JOB RESPONSIBILITIES: -
Ā Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -Ā
Generate release notes, user guides, technical documentation -
Ā Perform upgrades/ downgrades (patch management) -Ā
Generate and Manage configurations -Ā
Suggest process improvements by interfacing with product owner -Ā
File process/installation/deployment related issues & tracking them -Ā
Verify customer-reported issues and translate them into technical tasks for developmentĀ
REQUIREMENTS:
Ā Following are must to have requirements, -Ā
Automation frameworks like Selenium etc. -Ā
Scripting languages like Perl, Python etc. -Ā
Linux systems -Ā
Version control system like git -
Ā Issue tracking system like Jira -
Ā Networking protocols -
Ā Cloud infrastructure -Ā
Ability to work individually and as part of a team with a sense of urgency -
Ā Excellent communication skills in written and verbal English -Ā
Great attention to detailĀ
PREFERRED:Ā
Following are good to have requirements, -Ā
Knowledge in any of the programming languages like C, C++ etc.Ā
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -Ā
Familiarity with machine learning / artificial intelligence infrastructure -Ā
Experience in data visualization and statistics -Ā
Basic knowledge of hardware infrastructure containing routers, switches and others -
Ā Familiarity with web & data securityDesign and development of scalable software test framework to automate testĀ
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
- Ensure limited system failure and increase up-time and availability of the various company apps.
- Understand the current application infrastructure and strive for making it better.
- Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
- Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
- Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
- Set up a monitoring stack.
- Implement the applicationās CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
- Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
- Manage a continuous integration/continuous deployment methodology for the server-based technologies.
- Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
- Support internal and external customers on multiple platforms.
- First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
- Learn on the job and explore new technologies with little supervision.
- In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.
Skills:
- Experience with the core AWS services, plus the specifics mentioned in this job description.
- Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
- Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
- Ability to troubleshoot distributed systems.
- Experience with. AWS EKS Kubernetes infrastructure setup.
- Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
- Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
- Security aware and ensures that all systems are security standards-compliant.
- Good background in Linux/Unix administration.
- Experience with building or maintaining cloud-native applications.
- Minimum 3-5 years of cloud development experience, preferably AWS
- Experience with CI/CD tools like Jenkins preferred.
- Good analytical and communication skills
- Bachelorās Degree in Computer Science, Engineering or a related technical discipline
We are looking for an experienced software engineer with a strong background in DevOps and handling traffic & infrastructure at scale.
Responsibilities :
Work closely with product engineers to implement scalable and highly reliable systems.
Scale existing backend systems to handle ever-increasing amounts of traffic and new product requirements.
Collaborate with other developers to understand & setup tooling needed for - Continuous Integration/Delivery/
Build & operate infrastructure to support website, backend cluster, ML projects in the organization.
Monitor and track performance and reliability of our services and software to meet promised SLA
2+ years of experience working on distributed systems and shipping high-quality product features on schedule
Intimate knowledge of the whole web stack (Front end, APIs, database, networks etc.)
Ability to build highly scalable, robust, and fault-tolerant services and stay up-to-date with the latest architectural trends
Experience with container based deployment, microservices, in-memory caches, relational databases, key-value stores
Hands-on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, RDS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch)