{"id":3141787,"url":"https://alion.io/job/the-hartford-aws-cloud-engineer","title":"AWS - Cloud Engineer","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":30,"ghost_share":0,"stale_share":0.733,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Jenkins","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-10-23T08:51:15Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-23T14:48:26Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"IND Lead Software Engineer - GCC026We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.\nAWS - Cloud Engineer\nTier - 8C\n4 to 6 Years\nCustomer Experience Platform Engineering\nRole Summary\nWe are seeking an AWS Cloud Engineer to design, build, integrate, and support cloud-native customer experience capabilities within an Amazon Connect-powered contact center ecosystem. This role uses AWS services, APIs, serverless computing, event-driven architecture, and Infrastructure as Code to extend Amazon Connect and deliver seamless experiences across voice, chat, email, messaging, self-service, agent workflows, analytics, and enterprise systems. The ideal candidate combines hands-on AWS engineering expertise with experience in contact center technologies, customer journey design, and the operational needs of a large-scale customer experience platform. We operate with an AI-first engineering mindset and expect engineers to use AI-assisted practices responsibly to improve speed, quality, and innovation.\nTechnical Skills Framework\nPrimary skills are the tools and capabilities used by the team to perform the role. Each definition describes the core skill and its application within the Amazon Connect contact center ecosystem. Comparable skillsets represent adjacent experience that may transfer and accelerate onboarding, but are not technically aligned to the team’s current way of working.\nPrimary Skills\nSkill\nDefinition\nComparable skillset\nLambda\nBuild scalable serverless applications, APIs, routing extensions, workflow services, and event-driven integrations that enhance Amazon Connect and support customer and agent experiences.\nAzure Functions; Google Cloud Functions\nTypeScript\nDevelop maintainable, strongly typed services and integrations that support customer journeys, contact center workflows, and enterprise connectivity.\nPython; JavaScript\nAWS Services\nEngineer cloud-native capabilities using S3, DynamoDB, KMS, EventBridge, IAM, SQS, SNS, Secrets Manager, CloudWatch, and related services to support interaction processing, notifications, orchestration, analytics, and secure integration with Amazon Connect.\nComparable Azure or Google Cloud services\nCDK\nImplement Infrastructure as Code using AWS CDK to automate consistent, secure deployment and management of Amazon Connect supporting services and customer experience capabilities.\nCloudFormation; Terraform\nAPI Gateway\nDesign, secure, and manage REST and HTTP APIs that connect Amazon Connect, agent experiences, enterprise systems, and third-party contact center technologies.\nAPIGEE; APIC\nSecondary Skills\nSkill\nDefinition\nComparable skillset\nFlows\nUnderstand Amazon Connect contact flow design, customer journeys, routing strategies, integration points, and troubleshooting so cloud services work effectively within end-to-end contact center experiences.\nGenesys Architect; NICE Studio; Five9 Studio; Cisco CVP\nConnect Desktop\nUnderstand Amazon Connect agent desktop configuration, routing profiles, agent workflows, and operational processes so cloud-native capabilities integrate seamlessly into the agent experience.\nGenesys Cloud administration; NICE CXone administration; Five9 administration\nKey Responsibilities\nCustomer Experience Platform Engineering\nDesign and develop cloud-native capabilities that extend Amazon Connect functionality and improve customer and agent experiences. \nBuild services that enable customer self-service, routing enhancements, agent productivity, interaction processing, workflow orchestration, notifications, authentication, analytics, and experience optimization. \nPartner with Connect Engineers, Product Owners, architects, and business stakeholders to implement end-to-end customer journeys using Amazon Connect and supporting AWS services. \nTranslate contact center and customer experience needs into scalable, reusable, and supportable technical capabilities. \nContact Center Ecosystem Integration\nDevelop APIs, event-driven services, and integration patterns that connect Amazon Connect with enterprise systems and third-party contact center technologies. \nBuild integrations supporting voice, chat, email, messaging, customer authentication, outbound communications, workforce processes, analytics, and customer engagement capabilities. \nIntegrate contact center workflows with customer, policy, claims, knowledge, workforce, communication, reporting, and other enterprise platforms. \nContribute to migration and modernization initiatives that improve customer experience, operational efficiency, and platform scalability. \nCloud-Native Application Development\nDesign, develop, test, and support serverless applications, APIs, microservices, and reusable platform services using Lambda, TypeScript, and related AWS technologies. \nUse event-driven and asynchronous patterns to process contact events, coordinate workflows, and decouple Amazon Connect from downstream systems. \nDesign for resilience, scalability, performance, recoverability, security, and cost efficiency across the customer interaction lifecycle. \nInfrastructure as Code and DevSecOps\nImplement Amazon Connect supporting infrastructure and AWS services using CDK and repeatable deployment patterns. \nBuild and maintain CI/CD automation, testing, quality gates, security scanning, and environment promotion processes. \nApply least-privilege access, encryption, secrets management, logging, monitoring, and enterprise cloud governance standards. \nAPI and Integration Engineering\nDesign, secure, version, document, and operate APIs used by contact flows, agent applications, customer channels, and enterprise systems. \nApply authentication, authorization, throttling, error handling, observability, and governance standards. \nEvaluate integration alternatives and document architectural decisions and tradeoffs based on customer experience, operational, and technical requirements. \nPlatform Operations and Optimization\nMonitor production services and end-to-end contact center integrations, respond to incidents, and restore customer and agent capabilities. \nUse telemetry to identify customer journey failures, integration issues, performance constraints, and improvement opportunities. \nPerform root cause analysis and implement preventative improvements that increase reliability, recoverability, and operational supportability. \nOptimize cloud consumption while protecting customer experience, platform performance, and service resilience. \nAI-First Engineering\nUse AI-assisted engineering tools to accelerate coding, testing, troubleshooting, documentation, and knowledge sharing. \nValidate AI-generated outputs for accuracy, security, performance, maintainability, and compliance. \nIdentify opportunities to apply AI and automation to routing, self-service, agent support, analytics, and engineering productivity. \nAgile Delivery and Product Ownership\nCollaborate with Product Owners, Connect Engineers, architects, analysts, and Agile team members to refine requirements and user stories. \nParticipate in planning, stand-ups, refinement, retrospectives, and demonstrations. \nDeliver working, production-ready customer experience capabilities aligned with sprint and program commitments. \nUse customer feedback, operational insights, and platform telemetry to continuously improve solutions. \nQuality, Security, and Operational Excellence\nDevelop and maintain automated unit, integration, contract, and regression tests appropriate to contact center services and integrations. \nParticipate in code and design reviews and follow established engineering standards. \nApply secure coding, privacy, data protection, cloud security, and enterprise compliance requirements throughout the solution lifecycle. \nDemonstrate end-to-end ownership from design through production support and continuous improvement. \nRequired Experience\nHands-on experience building cloud-native applications, integrations, or platform services using AWS. \nExperience with contact center technologies or customer experience platforms such as Amazon Connect, Genesys Cloud, NICE CXone, Five9, Cisco, or comparable platforms. \nExperience integrating contact center channels, routing, agent workflows, customer self-service, or interaction data with enterprise applications and services. \nExperience with Lambda, TypeScript or a comparable development language, API design, event-driven architecture, and Infrastructure as Code. \nExperience supporting production services through monitoring, troubleshooting, incident response, and root cause analysis. \nProfessional Skills\nStrong analytical, systems-thinking, and problem-solving skills \nAbility to understand customer journeys and translate contact center needs into cloud-native solutions \nClear communication and effective collaboration across product, operations, architecture, Connect engineering, and enterprise technology teams \nAbility to work effectively in a fast-paced Agile environment \nEnd-to-end ownership from design through production support and continuous improvement \nPreferred Qualifications\nDirect experience integrating AWS services with Amazon Connect \nExperience building capabilities for voice, chat, email, messaging, self-service, agent desktop, workforce, or conversation analytics use cases \nExperience with contact center migration or large-scale customer experience platform transformation \nExperience with event-driven architectures and asynchronous integration patterns \nExperience with Jenkins, AWS CodePipeline, CodeBuild, CodeDeploy, CloudWatch, Splunk, or comparable delivery and observability platforms \nAWS Developer, Solutions Architect, or relevant Amazon Connect certification \nSuccess Profile\nDelivers cloud-native capabilities that measurably improve customer and agent experiences. \nBuilds scalable, secure, and resilient integrations that extend Amazon Connect. \nDemonstrates understanding of customer journeys, contact center operations, and the consequences of service failures. \nCreates reusable AWS services and patterns that accelerate delivery across the Customer Experience Platform. \nBalances customer experience, delivery speed, operational reliability, security, cost, and long-term architectural integrity. \nUses AI-assisted engineering practices responsibly to improve productivity, quality, and innovation. \nCreates momentum by sharing knowledge, challenging assumptions, and partnering across Connect, cloud, product, and operations teams. \nAbout Us | Our Culture | What It’s Like to Work Here","description_format":"text","description_chars":10691,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-10-23T08:51:15Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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