Software Engineer T500-11814

1 week ago


Delhi, Delhi, India Talent500 Full time

Short Description for Internal Candidates:
Ford Pro is a new global business within Ford committed to commercial customer productivity.

Ford Pro delivers a work-ready suite of vehicles, accessories and services for virtually every vocation, backed by technology and engineered for uptime.

A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.


Description for Internal Candidates:

Software Engineer – Observability for Platform Engineering at Ford Motor Company plays a critical role in maintaining and improving the reliability, scalability, and performance of our services.

You will work closely with our development teams to build and maintain large-scale, distributed systems and ensure our products meet our high standards for availability and user experience.


Roles and Responsibilities:

Implement and manage monitoring solutions in Java using monitoring tools (DataDog, Open Telemetry) to ensure visibility and proactive issue detection across our platforms.

Develop Solutions on GCP infrastructure, optimizing performance, and scaling resources to meet demand.
Collaborate with development teams to enhance system reliability and performance, applying a software engineering mindset to system administration tasks.
Develop and maintain automated solutions for operational aspects such as on-call monitoring, performance tuning, and disaster recovery.
Troubleshoot and resolve issues in our dev, test, and production environments.

Design, code, and review software and system changes with an emphasis on stability and scalability using Java and other relevant technologies.

Manage and scale our Google Cloud Platform services, ensuring data integrity and availability.

Engage with front-end technologies, such as React, as required to understand the full stack and contribute to development or troubleshooting.

Participate in post-mortem analysis and create preventative measures for future incidents.
Collaborate with multi-skilled teams working on commercial/fleet software solutions

The minimum qualifications we seek:
Bachelor's degree in Computer Science Engineering, or a related technical field.8+ years of overall experience with 3+ years of relevant experience onExperience in object oriented programming languages such as Java / Kotlin / JavaScript or TypeScriptExperience managing and optimizing modern databases (Relational and non-relational)

Continuous integration / continuous delivery tools and pipelines, such as:
(Jenkins, Terraform, SonarQube, Maven, Gradle, Harness, Apigee X)Hands-on Observability development experience including log monitoring, metrics collection using any of popular monitoring tools (DataDog, Open Telemetry, Garfana, Dynatrace, New Relic, Splunk, and HoneyComb)1+ years of experience developing and deploying to cloud platforms, such as Google Cloud Platform, Pivotal Cloud Foundry, Amazon Web Services, or Microsoft Azure.
Ability to debug, optimize code, and automate routine tasks.
Ability to communicate and coordinate with cross-functional engineering teams across multiple geographic regions.

Proactive approach to identifying problems, performance bottlenecks, and areas for improvementNurture engineer growth through mentorshipStrong problem-solving skills and the ability to work under pressure in a fast-paced environment.

Excellent verbal and written communication skills.

Our preferred qualifications:
Master's Degree in Computer Science or related field2+ Years of experience in Enterprise Application Development, Mobile application, Microservices.
Programming skills knowledge, with a good understanding of software development best practices.
Familiarity with front-end development frameworks, particularly React.
Strong experience with monitoring and observability systems/tools, particularly Datadog and OpenTelemetry.
Experience measuring the Golden Signals and DORA metrics.
Good understanding of SLA / SLI / SLO and the ability to implement using Observability tools.
Prior experience working alongside an engineering team to collect, aggregate and visualize insights into a complicated technical product.
Proficient with cloud services, with a strong preference for Google Cloud Platform (GCP) experience.

Experience with fully automating CI/CD pipelines end-to-end, from code commits to production, such as: (Jenkins or Tekton)Infrastructure provisioning and management (e.g.

Terraform)Experience with CA Agile Central (Rally), backlogs, iterations, user stories, or similar Agile Tools Highly effective in working with other technical specialists, Product Managers, UI/UX Designers and business partnersStrong analytical and problem-solving skillsStrong oral and written communication skillsAbility to multi-task and manage changing prioritiesStrong teamwork and interpersonal skillsAbility to work independently and take initiative when solving unexpected problems
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