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Kubernetes Backend Software engineer - job 1 of 4

DescriptionThe Digital Modernization Sector has an opening for a Kubernetes Backend Software Engineer.You will work collaboratively with Product Managers, Designers, and Engineers to set up,develop, and maintain critical back-end integrations for the data and analytics platform thatallows users to access data catalogs, request compute resources, and manage data access controlsfor an enterprise data and analytics platform.Responsibilities:• Building, iterating, and testing scalable, back-end APIs for web applications• Designing and developing data models to optimize data access for web applications• Participating in Agile processes including daily standups, demos, retrospectives, and sprint planning• Working closely with leadership to gather and implement business requirements• Working closely with designers and engineers to gather and implement product, frontend, and back-end requirements• Providing support, maintenance, and enhancements to the existing application• Collaborating with product managers, engineers, and QA on the team to communicate and clarify designs and requirementsRequired Qualifications:• Bachelor's Degree or equivalent in experience in Engineering, Computer Science, or related field. Additional years of experience may be substituted in lieu of degree.• 8+ years of experience in software application development• Extensive experience in an agile development environment including but not limited to daily scrum, iteration reviews, Kanban/Lean, continuous integration and test-driven development• Extensive experience in AWS cloud data architecture• Experience with one of the major cloud service providers (AWS preferred)• Experience with Node.js, Rust, and Python• Deep understanding of APIs, and familiarity with JSON, Web APIs, REST APIs, JSONRPC, XML-RPC, RESTful practices, and GraphQL• Experience with Docker containerization and deployments• Experience in relational and non-relational databases like SQL, MySQL, NoSQL,PostgreSQL, MongoDB or similar• Experience with benchmarking, monitoring, and performance engineering applications with tools such as Grafana, Sentry, and Prometheus• Knowledge of AuthN and AuthZ systems, including Active Directory, Okta, and AWS IAM Policies/Roles using attribute-based access controls• Knowledge of automated end-to-end unit tests and testing platforms• Strong documentation and problem-solving skills• Experience with Git and DevOps• Strong verbal and nonverbal communication skills• Experience with DevOps tools Terraform and k8s• Experience in the Big Data space a plusMust be able to obtain and maintain a public trust clearance.All candidates supporting the CMS programs must have lived in the United States at least three (3) out of the last five (5) years prior in order to be considered.Original Posting Date:2024-10-29While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay Range:Pay Range $104,650.00 - $189,175.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.#Remote
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Average salary estimate

$146912.5 / YEARLY (est.)
min
max
$104650K
$189175K

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What You Should Know About Kubernetes Backend Software engineer, Leidos

If you’re passionate about cloud technology and backend development, then the Kubernetes Backend Software Engineer position at Leidos in Herndon, VA, might be the perfect fit for you! In this role, you’ll collaborate with talented product managers, designers, and engineers to design, develop, and maintain crucial backend integrations for a cutting-edge data and analytics platform. You’ll be responsible for building scalable APIs for web applications, ensuring data models optimize accessibility, and actively participating in Agile processes that include daily standups and sprint planning. Your experience will shine as you gather business requirements and work alongside your team to implement them effectively. With a focus on supporting existing applications, you’ll also enhance features through collaboration with various stakeholders. If you have a robust background in software development, especially in AWS cloud data architecture and programming languages like Node.js, Rust, or Python, this role is made for you! More than just coding, you’ll apply your skills in DevOps, containerization, and performance engineering, contributing to a platform that drives enterprise analytics. Join a team where your ability to solve problems, document processes, and communicate effectively is valued. Plus, you’ll have the opportunity to be involved in the exciting world of big data. Ready to take on this challenge? We look forward to seeing how your expertise can make an impact at Leidos.

Frequently Asked Questions (FAQs) for Kubernetes Backend Software engineer Role at Leidos
What are the primary responsibilities of a Kubernetes Backend Software Engineer at Leidos?

As a Kubernetes Backend Software Engineer at Leidos, your primary responsibilities include building and iterating on scalable backend APIs for web applications, designing data models for efficient data access, and collaborating in Agile processes such as sprint planning and retrospectives. You'll also gather business requirements, work with designers to implement frontend and backend needs, and provide support for existing applications.

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What qualifications are necessary for the Kubernetes Backend Software Engineer position at Leidos?

To qualify for the Kubernetes Backend Software Engineer position at Leidos, candidates typically need a Bachelor's Degree in Engineering or Computer Science or equivalent experience. Additionally, at least 8 years of experience in software application development is required, with a strong background in Agile methodologies, AWS cloud data architecture, and programming languages like Node.js, Rust, or Python.

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How does the work environment look for a Kubernetes Backend Software Engineer at Leidos?

The work environment for a Kubernetes Backend Software Engineer at Leidos is collaborative and fast-paced. You'll be part of a dynamic team that values Agile practices, where daily scrums and sprints are part of the core workflow. You'll be engaging with leadership, product managers, and engineers, making it essential to have strong communication and teamwork skills.

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What tools and technologies should a Kubernetes Backend Software Engineer at Leidos be familiar with?

A successful Kubernetes Backend Software Engineer at Leidos should be proficient with various tools and technologies, including Docker for containerization, DevOps tools like Terraform, and performance monitoring tools such as Grafana and Prometheus. Experience with relational databases like SQL and NoSQL, as well as knowledge in API development and cloud infrastructure is also critical.

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What type of career growth can a Kubernetes Backend Software Engineer expect at Leidos?

A Kubernetes Backend Software Engineer at Leidos can expect significant career growth opportunities, as the company emphasizes professional development and innovation. You will gain exposure to new technologies while working on large-scale projects. With the chance to collaborate across teams, you can expand your skill set, take on leadership roles, and advance your career in cloud technology and software engineering.

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Common Interview Questions for Kubernetes Backend Software engineer
Can you describe your experience with building scalable backend APIs?

When answering this question, be specific about the projects you've worked on, mentioning technologies used to build APIs and the challenges faced. Highlight any metrics that demonstrate your impact, such as performance improvements or user adoption rates.

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How do you prioritize tasks in an Agile development environment?

Demonstrate your understanding of Agile principles by discussing how you use tools like Kanban boards or backlogs to manage priorities. Give examples of past experiences where you successfully balanced competing priorities while ensuring project deadlines were met.

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What is your approach to troubleshooting performance issues in cloud applications?

Talk about your systematic approach to diagnosing performance issues, including monitoring tools you’ve used (like Grafana or Sentry) and how you analyze logs. Discuss a specific instance where you identified and resolved a performance bottleneck.

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How do you ensure the security of APIs you design?

Discuss best practices such as implementing authentication and authorization, using HTTPS, and validating input data. Include specific technologies or frameworks you've used and share how you’ve protected against common vulnerabilities.

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What role does documentation play in your software development process?

Emphasize the importance of documentation in facilitating collaboration and ensuring knowledge transfer. Share examples of how you document APIs, data structures, and processes, and how this has helped your teams.

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Can you explain your experience with Docker and containerization?

Explain how you’ve used Docker in your previous roles, including creating and managing containers. Discuss specific projects or scenarios where Docker improved deployment efficiency or environmental consistency.

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Describe how you handle changes in project requirements during a sprint.

Showcase your flexibility and communication skills by describing how you assess the impact of changes and coordinate with your team to adjust priorities or roadmaps. Mention any strategies for minimizing disruption to your sprint goals.

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What programming languages are you most comfortable with and why?

Identify languages (like Node.js, Rust, and Python) you find comfortable, and explain why you excel in them. You can mention specific projects that showcase your proficiency in these languages and how they align with API development.

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How do you test your applications before deployment?

Discuss your testing strategies, including unit testing, integration testing, and automated testing frameworks you’ve used. Share specific examples of how rigorous testing improved application performance or reliability.

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What is your experience with cloud service providers, particularly AWS?

Share detailed experiences with AWS services that you've worked with, such as EC2, S3, and IAM Roles. Mention specific projects where leveraging AWS technologies provided a tangible benefit, and discuss your understanding of AWS architecture.

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Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. At Leidos, our mission is to make the world safer, healthier, and mor...

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Full-time, remote
DATE POSTED
December 19, 2024

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