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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable applications, with a strong focus on microservices architecture, distributed systems, and cloud-native engineering. Proven ability to lead technical teams, mentor engineers, and drive production excellence through best practices and advanced troubleshooting.
Highest-signal resume keywords
Microservices DevelopmentDistributed Systems ExpertiseCloud-Native EngineeringProduction TroubleshootingAI/GenAI Tools Application
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaSpringSpring BootGoKafkaSQLNoSQLKubernetesCI/CDPerformance Tuning
Soft Skills
CommunicationInterpersonal SkillsMentoringOrganizational SkillsProblem Solving
Tools & Technologies
Cosmos DBCassandraMongoDBMySQLPostgreSQLOracleAutomated TestingObservabilityIncident MitigationRoot-Cause Analysis
Industry Keywords
Scalable ApplicationsEvent-Driven DesignHigh-Throughput SystemsLow-Latency SystemsService SimplificationMulti-TenancyDisaster RecoveryContinuous LearningEngineering StandardsTechnical Leadership
Tech Stack
Tools & technologiesCassandraCloudJavaKafkaKubernetesMicroservicesMongoDBMySQLNoSQLOraclePostgresSpringSpring BootSpringBootSQLGo
About the role
Key responsibilities & impact- Understand store and OPD business problems and translate them into scalable technology solutions
- Architect, design, build and deploy high-throughput, low-latency distributed services and event-driven pipelines
- Lead architecture and design reviews
- Drive service simplification, multi-tenancy, multi-region resiliency and disaster-recovery capabilities
- Own production excellence by troubleshooting complex incidents using logs, metrics, traces and profiling
- Drive root-cause analysis and prevent recurrence
- Establish sustainable engineering through best practices, high-quality code, documentation, automated testing, observability and monitoring
- Apply AI/GenAI tools across coding, code review, testing, debugging, RCA and documentation
- Help the team adopt agentic engineering workflows
- Estimate effort, identify risks and plan execution across teams and releases
- Mentor and coach engineers and provide technical leadership
- Identify broader issues and trends and their implications for the product and team
- Drive execution of business plans and projects, remove performance barriers, develop contingency plans and support continuous learning
- Supervise and develop associates through selection, training, mentoring, assigning duties and performance evaluations
- Promote company policies, ethics, integrity and the Open Door Policy
- Evaluate plans and initiatives, consult stakeholders, improve efficiency and cost-effectiveness, and support community outreach events
Requirements
What you’ll need- 10+ years of experience designing and developing highly scalable applications in product-based companies or R&D divisions, with recent hands-on backend coding and Staff-level technical ownership
- 5+ years of experience building microservices in Java (Spring/Spring Boot); exceptional Go engineers with equivalent distributed-systems depth who can work in Java may also be considered
- Strong computer science fundamentals: data structures, algorithms, concurrency, networking and problem solving
- Deep distributed-systems expertise: microservices, event-driven design, consistency, idempotency, partitioning, retries/timeouts, backpressure, fault isolation and failure recovery
- Experience building and operating high-throughput, low-latency systems, including performance tuning and caching
- Hands-on experience with messaging and data platforms: Kafka plus SQL/NoSQL stores such as Cosmos DB, Cassandra, MongoDB, MySQL, PostgreSQL, or Oracle
- Cloud-native engineering: Kubernetes, CI/CD, automated testing and observability
- Excellent production troubleshooting skills: logs, metrics, traces, thread dumps/profiling, incident mitigation and root-cause analysis
- Practical, advanced use of AI/GenAI tools in day-to-day engineering, with disciplined validation of output
- Staff-level influence: architecture reviews, mentoring, raising engineering standards and collaborating across teams
- Excellent organisation, communication and interpersonal skills
- Minimum qualification alternative: Bachelor's degree in a relevant field and 4 years' experience in software engineering or related area, or 6 years' experience in software engineering or related area
- Preferred: Master's degree in a relevant field and 2 years' experience in software engineering or related area
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
- Compensation package
- Flexibility for associates to manage their personal lives