{"id":3613945,"url":"https://alion.io/job/societe-generale-specialist-software-engineer-java-react","title":"Specialist Software Engineer - Java + React","company":{"id":1760180,"name":"Société Générale","domain":"societegenerale.com","url":"https://alion.io/company/societegenerale-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":82,"open_postings":99,"ghost_share":0,"stale_share":0.939,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"FinOps","optional":true}],"status":"live","first_seen_at":"2026-11-02T15:35:32Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-07T14:06:27Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Responsibilities\n\n MSA Role: Software Engineer / Senior Software Engineer – Databricks & AWS\nExperience: 5–8 Years\nDesign, develop, and maintain scalable data engineering solutions using Databricks, PySpark, SQL, and Delta Lake.\nBuild and optimize batch and real-time data pipelines on AWS using services such as S3, Lambda, Glue, EMR, Redshift, and related cloud-native components.\nDevelop, implement, and support Delta Live Tables (DLT) pipelines for reliable, high-quality, and auditable data processing.\nWork with Unity Catalog to implement data governance, access control, lineage, and security best practices.\nDevelop and optimize ETL/ELT pipelines with a focus on performance tuning, scalability, reliability, and cost efficiency.\nImplement infrastructure and platform automation using Terraform and Infrastructure as Code (IaC) principles.\nBuild and maintain CI/CD pipelines using Jenkins, Git, and related DevOps tools to enable automated deployments and testing.\nSupport deployment, monitoring, and maintenance of Databricks workloads across development, testing, and production environments.\nCollaborate with architects, product owners, data scientists, and business stakeholders to understand requirements and deliver high-quality solutions.\nParticipate in cloud migration, modernization, and data platform transformation initiatives on AWS.\nContribute to data quality, observability, logging, monitoring, and alerting frameworks to ensure platform reliability.\nWork with APIs, data integration frameworks, and external systems to enable seamless data exchange across platforms.\nTroubleshoot production issues, perform root cause analysis, and drive continuous improvement initiatives.\nFollow software engineering best practices, participate in code reviews, and ensure adherence to coding, security, and operational standards.\nWork effectively within Agile teams, contributing to sprint planning, estimation, development, and release activities.\nCollaborate with global teams and support business-critical deliveries across different time zones when required.\n\n Profile required\n\n Profile Required:\nSenior‑level Software Engineer with deep Databricks, AWS, and Python data platform expertise, capable of designing and leading enterprise‑scale AI‑enabled data solutions.\nMinimum Qualifications:\nDeep hands‑on experience with Databricks (PySpark, SQL, Delta Lake) in large‑scale production environments.\nProven experience designing and leading end‑to‑end data pipelines on Databricks.\nStrong hands‑on experience with Delta Live Tables (DLT) for governed data processing.\nAdvanced experience with Unity Catalog for data governance, access control, lineage, and metadata.\nExpertise in Spark performance tuning, scalability, and cost optimization.\nExperience managing Databricks workflows, monitoring, and production operations.\nStrong knowledge of cloud‑based data platforms (AWS preferred).\nProven ability to mentor engineers and lead technical delivery.\nPreferred Qualifications:\nExperience building and operating AI agents for workflow automation and decision support.\nStrong understanding of data observability, platform reliability, and FinOps practices in Databricks.\nExperience working in regulated or financial services domains.\nExposure to enterprise‑scale AI governance, compliance, and audit requirements.\nAbility to influence architecture decisions and align stakeholders.\nExcellent communication skills with both technical and non‑technical 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