{"id":1353885,"url":"https://alion.io/job/the-hartford-lead-software-engineer-aws","title":"Lead Software Engineer - AWS","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":79,"open_postings":29,"ghost_share":0,"stale_share":0.828,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":57},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"DynamoDB","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Kanban","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CloudFormation","optional":true},{"name":"Splunk","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-15T04:16:32Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"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.\nRole Summary\nWe are seeking a highly skilled Agile Software Engineer for our Contact Center teams with expertise in AWS cloud services, CI/CD automation, and modern contact center platforms. This role will design, build, and support scalable solutions within a cloud-based, omni-channel customer experience platform (e.g., Amazon Connect).\nThe ideal candidate combines strong hands-on engineering experience (Python, DevOps, cloud-native architectures) with experience in contact center technologies (Amazon Connect, Genesys Cloud, NICE, or Five9). We have a strong AI-first engineering mindset and are seeking engineers experienced with - or eager to adopt - AI-driven development practices and tooling.\nKey Responsibilities\nSoftware Engineering & Development\nDevelop, test, and maintain Contact Center solutions within Amazon Connect with Amazon Flow builder, Lambda, and Dynamo\nSupport:IVR/contact flow development\nRouting logic and telephony integrations\nVoice, chat, and email channel capabilities\n\nContribute to contact center migration and modernization efforts\nDesign integrations across contact center platforms and enterprise systems\nBuild and maintain APIs, microservices, and serverless solutions\nEnsure solutions meet performance, scalability, and security standards\nAWS & Cloud Engineering\nImplement solutions using AWS services, including:IAM (Identity & Access Management)\nLambda / serverless compute\nAPI Gateway\nS3, DynamoDB, or RDS\n\nAI-First Engineering (Preferred)\nLeverage AI tools to accelerate development productivity and quality\nApply AI-assisted approaches for:Code generation and refactoring\nTest case generation and defect analysis\nDocumentation and knowledge sharing\n\nExperience with or interest in AI development tools used within the enterprise environment (e.g., Copilot-style tools, internal AI accelerators, or similar platforms)\nContribute to building and integrating AI-enabled capabilities within customer experience platforms (e.g., routing intelligence, automation, insights)\nAgile Delivery\nCollaborate with Product Owners and Agile teams to refine user stories and deliver sprint commitments\nParticipate in Agile ceremonies (planning, stand-ups, retrospectives, demos)\nDeliver working, production-ready software each sprint\nQuality & Engineering Excellence\nDevelop and maintain automated unit and integration tests\nParticipate in code reviews and enforce standards\nTroubleshoot defects and perform root cause analysis\nEnsure adherence to definition of done and quality benchmarks\nRequired Skills & Experience\nCCaaS / Telephony Platforms\nHands-on experience with:Amazon Connect (preferred)\nOR similar platforms (Genesys Cloud, NICE, Five9)\n\nKnowledge of:IVR/contact flows\nRouting logic and telephony integrations\nOmni-channel customer experience solutions\n\nAWS & Cloud\nHands-on experience with AWS services:IAM (roles, policies, access control)\nLambda, API Gateway\nData services (DynamoDB, S3, RDS)\n\nDevOps & CI/CD\nExperience with:Jenkins\nAWS CodePipeline (CodeBuild / CodeDeploy preferred)\n\nStrong understanding of CI/CD, automation, and version control (Git)\nAgile & SDLC\nExperience working in Agile (Scrum/Kanban) environments\nFamiliarity with tools such as:Jira, Rally, or equivalent\n\nStrong understanding of iterative delivery and backlog refinement\nProfessional Skills\nStrong analytical and problem-solving skills\nExcellent communication and collaboration abilities\nAbility to thrive in a fast-paced, Agile environment\nPreferred Qualifications\nExperience with:Event-driven architectures (Kafka, SNS/SQS)\nObservability tools (CloudWatch, Splunk)\nInfrastructure as Code (Terraform, CloudFormation)\n\nAWS certifications (Developer, Solutions Architect)\nExperience in large-scale cloud or contact center transformations\nSuccess Profile\nDelivers high-quality solutions aligned to sprint goals\nDemonstrates ownership from design through production support\nActively adopts and champions AI-first development practices\nTeam player who will step into any gap to create momentum, and challenge/advance team capability and engagement\nContributes to engineering innovation, speed, and quality\nBalances delivery velocity with long-term architectural integrity\nAbout Us | Our Culture | What It’s Like to Work 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