{"id":3317801,"url":"https://alion.io/job/campbell-global-senior-lead-software-engineer-4","title":"Senior Lead Software Engineer","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":93,"open_postings":124,"ghost_share":0.089,"stale_share":0.177,"repost_share":0.153,"time_to_fill_p50_days":5,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jersey City, United States","Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":262000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ClickHouse","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenSearch","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"ZooKeeper","optional":false}],"status":"live","first_seen_at":"2026-08-18T19:27:14Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-29T02:47:35Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.\nAs a Senior Leadof Software Engineering - Payment Data Platform Infrastructure at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payments Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Promote significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.\nJob responsibilities\nExecutes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\nProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development\nDeploy and operate ClickHouse clusters across environments (on-prem and/or cloud), including upgrades, scaling, backups, and disaster recovery.\nDesigns and implements scalable, secure, and cost-effective AWS infrastructure solutions.\nDevelops and maintains infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or AWS CDK.\nMonitors and optimizes the performance, availability, and scalability of AWS infrastructure.\nImplements and manages security best practices, including identity and access management (IAM), encryption, and network security.\nAutomates infrastructure provisioning, configuration, and deployment processes.\nIdentifies opportunities for cost optimization and implement strategies to reduce AWS spending.\nDevelops and maintain scripts and tools to enhance operational efficiency.\nStays up-to-date with the latest AWS services, features, and best practices.\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 8+ years applied experience\nHands-on experience deploying and supporting ClickHouse in production (multi-node clusters).\nStrong knowledge of ClickHouse internals and performance levers: MergeTree family, parts/merges, partitions, primary key vs ordering key, compression, TTLs, sampling, distributed query execution.\nExperience with ClickHouse Keeper / ZooKeeper coordination and cluster topology design.\nExperience with Linux systems engineering and troubleshooting (CPU, memory, disk, networking).\nExpertise in AWS cloud platform (S3, Lambda, EKS, DynamoDB, EventBridge, Kafka, Opensearch), big data technologies (Apache Spark, Glue, Redshift), and data lake/lakehouse architectures (Iceberg).\nExperience with containerization/orchestration and automation (Kubernetes and Terraform)\nStays up-to-date with the latest AWS services, features, and best practices.\nContributes to software engineering communities of practice and events that explore new and emerging technologies\nExperience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive 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