Lead Software Engineer (remote)

Hallmark Cards•Kansas City, MO

1d•$104,000 - $135,000•Remote

About The Position

The Digital Center of Excellence (DCOE) is responsible for building a world-class, consumer-focused caring platform that enables Hallmark’s lines of business (LOB) across the enterprise (Crayola, Hallmark Media, Hallmark Global) to accelerate their direct-to-consumer product strategies. This includes developing a Cloud-first, multi-tenant digital platform providing capabilities and services such as a unified Hallmark Profile, Product Recommendations, and Global Payment services. The DCOE also builds, secures, and operates digital consumer products for Hallmark’s LOBs and scales development capabilities to build for Hallmark’s future. As a member of the DCOE group, you'll partner with high functioning, high energy teams of cross-functional disciplines that bring products like Hallmark.com and our Hallmark Gold Crown Omnichannel network to life for our consumers. With a consumer-first focus, this group delivers impactful digital solutions that have a direct impact on consumer brand engagement and retention in the digital space, which results in revenue growth and brand relevance.

Requirements

At least 10 years of professional experience in software engineering
At least 5 years of experience as a lead software engineer in agile scrum teams
Experience working on SQL queries for data analysis and ETL with RDBMS (Relational Database management systems) with Teradata, MYSQL, PostgreSQL or similar
At least 8 years’ experience building highly scalable RESTful services with integration technologies
At least 8 years’ experience building highly scalable asynchronous processes (Event Driven Design patterns)
At least 5 years’ experience leading and developing Applications, API design and development aligned with Microservices architecture
Proficiency in Programming language - Java Spring boot with Apache Camel, Go and Python
Hands on experience in AWS platform, building and deploying, applications to cloud.
Experience working on AWS components, ECS/EKS, CloudWatch, AWS EC2, Fargate, Amazon MQ
Experience working with in-memory & persistent caching patterns using Redis, Hazelcast or equivalent
At least 5 years’ experience with data analysis
Working knowledge of software development practices including DevOps and CI/CD tool chains primarily GitLab or equivalent

Nice To Haves

Professional degree with major as computer science
Experience working on API Management (Preferred Gravitte)
Experience working with NoSQL databases Dynamo DB, MongoDB or equivalent
Knowledge on managing consumer data
Preferred experience in observability and monitoring tools, preferred Datadog, Dynatrace, Splunk or equivalent
Leverage architectural standards and safeguard the integrity of the application environment, in alliance with architects and other tech leads
Design and implement new software architecture patterns that are scalable, reusable, secure, and cost efficient, adhering to industry standards
Experience with Consumer Profile, Customer 360, or Identity Management systems
Familiarity with data privacy and governance frameworks (e.g., GDPR, CCPA)
Hands-on experience with AI-assisted engineering practices, including: Applying AI in the software development lifecycle (AIDLC) Leveraging AI-assisted code development, reviews, and productivity tooling
Awareness and ability to design and develop AI agents to improve engineering velocity and efficiency
Provide strategic direction for fixing and remediating vulnerabilities, secrets etc.
Tie in various moving pieces of work and collaborate with various interfacing systems
Understand technology trade-off risks and rewards for the best value
Review well-abstracted, reusable code for all components
Implement proactive monitoring and observability to predict and detect abnormal system behaviors, with timely alerts avoiding system impacts
Function as the go-to technical subject matter expert for the software applications supported, requiring depth and breadth of knowledge in technologies, applications, and integration
Attention to detail and ability to manage multiple priorities in a fast-paced environment
Provide concise, transparent communications about potential risks, mitigations, and business impacts quickly
Take ownership to drive innovation for effectively leveraging technology & problem solving

Responsibilities

Create tech design, develop, plan and/or maintain software applications for delivering features based on knowledge of design/architectural patterns and Agile/DevOps practices.
Ensure system design and requirements are aligned to achieve the desired business outcomes. Manage coding/quality principles are aligned to achieve the desired technology outcomes.
Partner with product, engineering and delivery team to prioritize and groom backlog. Define technical stories and work with the team on work breakdown and execution. Participate in scrum activities and ceremonies.
Manage and provide technical ownership for feature delivery. Apply enterprise standards for solution design, coding and quality. Ensures solution meets product acceptance criteria with minimal technical debt. Responsible for compliance and security items and audit support at the team level. Conduct code reviews.
Act as a liaison for production activities/issues.
Guide team members with skills and practices (planning & estimation, peer reviews and other engineering practices).
Work with cross-functional teams to ensure that the business, quality and functional goals are met with each release. Work with Infrastructure, DevOps and Quality engineering team to ensure a smooth transition of build to production.
Effectively collaborate with onsite & offshore team members in Consumer Profile initiatives.
Identify and resolve problems in a timely manner; Gather and analyze information skillfully; Develop alternative solutions; Work well in group problem solving situations.
Exhibit strong communication and interpersonal skills, and the ability to engage key stakeholders at a business level in addition to a technical level.
Have attitude to learn and adapt to new technology landscape during transformation stages.
Demonstrate accuracy and thoroughness; Apply feedback to improve performance.
Meet productivity standards; Complete work in timely manner; Always strive to increase productivity.