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As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.\nJob Responsibilities:\nExecute creative software solutions through design, development, and troubleshooting to solve complex technical problems.\nDeliver end-to-end AWS cloud-native, microservices-based applications using Python and modern engineering best practices.\nDesign, build, and evolve distributed systems on AWS using Lambda, ECS/Fargate, and/or EKS aligned to scalability, performance, and cost needs.\n Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\n Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\nApply domain modeling to structure business products for clarity, testability, and continuous evolution.\nDevelop secure, high-quality production code; perform thorough code reviews; debug and remediate issues in others’ code.\nBuild and maintain AWS infrastructure with IaC (Terraform/CloudFormation) for repeatable, auditable deployments.\nImplement/enhance CI/CD with automated testing and reliable release patterns (blue/green, canary, rollback) for zero-downtime where required.\nBuild resiliency + observability (multi-AZ, decoupling, retries/timeouts, idempotency, circuit breakers; logging/metrics/tracing/alerting via CloudWatch/X-Ray/OpenTelemetry).\nOperate and improve production: investigate incidents, lead RCA, prevent recurrence by automating remediation, optimize data stores (Aurora/RDS, DynamoDB, S3), and modernize dependencies while collaborating across product/platform/SRE/security/data and mentoring inclusively.\nRequired Qualifications, Capabilities, and Skills:\n Formal training or certification on software engineering concepts and 5+ years applied experience.\nDesign AWS cloud-native architectures (microservices, event-driven, serverless) meeting availability/latency/DR targets\nBuild Python backend services (FastAPI/Flask): API design, validation, downstream integrations\nDeliver serverless workloads on AWS (Lambda + API Gateway/EventBridge/Step Functions) with IAM scoping, concurrency, and tuning\nContainerize and deploy to ECS/Fargate and/or EKS with sizing, autoscaling, and rollout strategies\nDesign and operate data stores (RDS/Aurora, DynamoDB) including schema/indexing/partitioning and performance optimization\nUse caching (ElastiCache/Redis) to optimize throughput/latency under load\nBuild Infrastructure as Code (Terraform/CloudFormation): reusable modules, env separation, drift control\nOwn CI/CD (CodePipeline/CodeBuild/CodeDeploy and/or GitHub Actions) with automated tests and quality gates\nImplement observability + reliability (CloudWatch, X-Ray/OpenTelemetry), SLIs/SLOs, alerting, incident response/RCA\nEnforce AWS security/compliance: least-privilege IAM, KMS, secrets (Secrets Manager/SSM), VPC patterns, CloudTrail/Config/GuardDuty/Security Hub, and audit support\nPreferred Qualifications, Capabilities, and Skills:\nStrong soft skills, including presentation, negotiation, mentoring, and stakeholder management.\nStrong problem-solving, analytical, and communication skills.\nAbility to drive broader impact by sharing and contributing best practices across teams.\nExperience in the banking/financial services domain.\nAWS certification(s) (e.g., Solutions Architect, Developer, DevOps Engineer).\nImplement async processing/messaging (SQS/SNS, EventBridge; 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