{"id":4072311,"url":"https://alion.io/job/publicis-groupe-senior-manager-software-engineering","title":"Senior Manager Software Engineering","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":52,"ghost_share":0,"stale_share":0,"repost_share":0.058,"time_to_fill_p50_days":14,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Management","role_family":"Management","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MySQL","optional":false},{"name":"n8n","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-11-11T13:59:01Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T13:59:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Overview\nAbout Business Unit:\nPlatform Services specializes in the implementation, management and evolution of Custom and PeopleCloud solutions, offering end-to-end support for clients. Our team of experts handles platform setup, ongoing management, and strategic enhancements, ensuring that our solutions adapt to changing business needs. From loyalty programs to digital activation, our platforms empower clients to implement campaigns, generate insights, and streamline business activities, all with a focus on seamless integration and continuous improvement. By collaborating with client partners and strategy teams, we create impactful campaigns tailored to each client’s unique objectives.\nClick here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.\nResponsibilities\nWhat You Will Do\nYou will lead engineering outcomes across multiple teams and initiatives, balancing business priorities, client commitments, technical strategy, quality, talent development, and innovation. You will promote AI-assisted ways of working and enable leaders and engineers to operate effectively across traditional role boundaries.\nDelivery & Portfolio Leadership\nOwn end-to-end delivery of multiple strategic software programs, ensuring predictable execution, measurable outcomes, quality, transparency, and timely management of risks and dependencies.\nLead planning, estimation, engineering, testing, implementation, transition, and production stabilization across build, enhancement, modernization, migration, and maintenance initiatives.\nAlign capacity, skills, priorities, milestones, and dependencies across teams; make informed trade-offs and call out material risks with clear mitigation options.\nEstablish outcome-focused governance using delivery health, quality, productivity, customer impact, and operational measures rather than activity alone.\nEnsure alignment to engineering standards, security, privacy, compliance, accessibility, documentation, and support-readiness expectations.\nPromote continuous improvement through retrospectives, root-cause analysis, reusable practices, automation, and evidence-based decision-making.\nClient & Stakeholder Partnership\nPartner with clients, product leaders, business collaborators, architects, analysts, quality leaders, data teams, and operations teams to understand objectives and shape scalable solutions.\nLead customer workshops, solution discussions, technical presentations, roadmap conversations, and executive governance forums.\nBuild trusted relationships, establish clear expectations, manage issues constructively, and communicate decisions, trade-offs, risks, and mitigation plans with transparency.\nTranslate business objectives into technology strategies, investment priorities, capability roadmaps, and measurable engineering outcomes.\nCommunicate delivery health, key performance indicators, solution risks, quality trends, innovation progress, and strategic recommendations to senior partners.\nAI Strategy, Engineering & Innovation\nArchitect model and framework strategy, RAG/knowledge architecture, embeddings/vector search, prompt/context management, tool integration, agent orchestration, memory, guardrails, evaluation and human oversight.\nDefine and implement an AI adoption roadmap across engineering, analysis, quality, support, knowledge management, and customer-solution use cases.\nIdentify high-value Generative AI and Agentic AI opportunities, prioritize use cases, sponsor prototypes, define success measures, and scale proven patterns responsibly.\nPromote effective use of frameworks and services such as LangChain, LangGraph, Amazon Bedrock, Azure AI, Amazon Q, Kiro, Microsoft Copilot, or equivalent technologies.\nApply responsible AI practices covering privacy, security, intellectual property, data handling, model limitations, accuracy, bias awareness, explainability, traceability, and accountable human oversight.\nCreate an environment that supports responsible experimentation, reusable accelerators, knowledge sharing, and measurable improvement in engineering productivity and customer value.\nTechnical Strategy & Engineering Leadership\nProvide architectural direction and technical guidance across enterprise web, API, integration, distributed, data, and AI-enabled solutions.\nGuide conversion of high-level designs into detailed designs covering components, APIs, data models, algorithms, schemas, integration contracts, security, resilience, performance, and non-functional requirements.\nPartner with architects and technical leads to evaluate solution options and ensure appropriate scalability, security, maintainability, observability, accessibility, and cost effectiveness.\nDrive engineering excellence through design reviews, code reviews, architecture governance, quality standards, technical-debt management, performance analysis, and root-cause prevention.\nMaintain sufficient hands-on technical awareness to challenge assumptions, assess feasibility, guide complex decisions, and support resolution of critical engineering issues.\nPromote modern engineering patterns for C#/.NET, Python, JavaScript/TypeScript, React or Angular, APIs, event-driven systems, distributed applications, and data-intensive workloads. \nQuality Engineering & Technical Assurance\nOwn the quality strategy across teams, including testability, automation, code quality, data quality, performance, resilience, security validation, and production readiness.\nEnsure quality is built into discovery, design, development, and support rather than treated as a separate downstream activity.\nEstablish appropriate review mechanisms, test coverage expectations, traceability, defect-prevention practices, release validations, and operational acceptance criteria.\nUse trends from defects, incidents, customer feedback, and engineering measures to direct corrective and preventive improvements.\nPromote AI-assisted test design, review, defect analysis, and knowledge discovery while requiring accountable validation of generated outputs.\nData, Platforms & Solution Integration\nGuide scalable data modelling, integration, batch and real-time processing, data-quality controls, and performance strategies across enterprise solutions.\nProvide oversight for solutions using Oracle, MySQL, DynamoDB, Redshift, Snowflake, or equivalent data platforms.\nGuide designs involving REST APIs, event-driven patterns, microservices, integration platforms, and technologies such as SnapLogic, DataHub, or equivalents.\nEnsure data solutions address reliability, lineage, security, privacy, interoperability, and business usability.\nPeople Leadership & Organizational Capability\nLead, coach, and mentor engineering managers, technical leads, and engineers across multiple teams.\nBuild a high-performance culture grounded in accountability, inclusion, collaboration, engineering excellence, continuous learning, and customer focus.\nDrive workforce planning, hiring, onboarding, goal alignment, regular feedback, career development, succession planning, recognition, retention, and employee engagement.\nDevelop future-ready capabilities across software engineering, architecture, quality, data, AI, automation, client engagement, and domain knowledge.\nCreate clear ownership and decision mechanisms while empowering leaders and teams to implement effectively.\nAddress performance and team-health concerns fairly, consistently, transparently, and in alignment with organizational policies.\nFlexibility, Automation & Continuous Improvement\nEnable teams to flex across business analysis, architecture, development, quality engineering, data, automation, documentation, and production support based on delivery priorities while preserving role depth and accountability.\nUse workflow automation and low-code tools such as n8n, Make, Zapier, or equivalent technologies to streamline repeatable engineering and business processes where appropriate.\nEncourage cross-skilling, communities of practice, reusable assets, structured knowledge management, and movement across adjacent responsibilities.\nContinuously improve engineering practices, operating models, collaboration, customer responsiveness, and delivery efficiency using measurable evidence.\nQualifications\nEssential Education & Experience\nBachelor's degree or equivalent experience in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.\n13+ years of software engineering experience, including 5+ years leading multiple engineering teams in customer-facing environments.\nDemonstrated success delivering complex, enterprise-scale software programs and leading multi-functional teams using Agile delivery practices.\nExperience managing engineering leaders and teams while balancing client commitments, technical strategy, delivery outcomes, quality, and people development.\nStrong leadership, communication, presentation, stakeholder management, decision-making, organizational, prioritization, and problem-solving skills.\nCore Technical & Leadership Skills\nStrong technical understanding of C#, .NET/.NET Core, REST APIs, microservices, distributed systems, object-oriented design, design patterns, and modern web architecture.\nWorking knowledge of React or Angular, JavaScript/TypeScript, HTML5, CSS, and responsive application design.\nStrong understanding of SQL, PL/SQL, relational and NoSQL data modelling, database performance, data integration, batch and real-time processing, and enterprise data platforms.\nAbility to guide architecture, engineering standards, application security, performance, observability, quality engineering, automated testing, troubleshooting, and production support.\nExperience with Git-based collaboration, peer review, Agile engineering, structured release management, and enterprise change governance.\nAbility to connect technology choices to business outcomes, customer experience, delivery risk, talent capability, and long-term maintainability.\nAI & Future Skills\nStrong AI architecture capability across RAG, agentic systems, model evaluation, guardrails, identity, data protection, observability and cost/performance trade-offs.\nDemonstrated architecture ownership for a meaningful AI solution from discovery through implementation, evaluation and operational readiness.\nExposure to LangChain, LangGraph, CrewAI, Amazon Bedrock, Azure AI, or comparable AI frameworks and services.\nAbility to define AI strategy, prioritize use cases, guide prototypes, assess feasibility and risk, establish adoption measures, and scale successful practices.\nAbility to promote AI-assisted ways of working across analysis, architecture, development, testing, documentation, knowledge management, and support with appropriate controls.\nDesirable Skills & Experience\nExperience leading engineering for CRM, loyalty, marketing technology, customer data, high-volume transaction, or large-scale distributed platforms.\nExperience with data and integration technologies such as Redshift, Snowflake, DynamoDB, SnapLogic, DataHub, or equivalent platforms.\nExperience using Python, scripting, workflow automation, n8n, low-code/no-code platforms, or equivalent technologies.\nExperience establishing engineering communities, reusable accelerators, knowledge-management practices, or enterprise modernization programs.\nExperience evaluating emerging technologies and translating successful experiments into governed, repeatable delivery capabilities.\nPersonal Attributes\nStrong customer focus, business insight, critical thinking, and an ownership mapproach\nExcellent leadership, coaching, mentoring, communication, presentation, negotiation, and stakeholder-management capability.\nCollaborative, adaptable, resilient, decisive, and results oriented while remaining open to challenge and new evidence.\nPassion for innovation, continuous improvement, inclusive leadership, talent development, and measurable business impact.\nProfessionalism, integrity, sound judgement, transparency, and accountability in decisions...","description_format":"text","description_chars":14822,"description_truncated":true,"requirements":{"experience_years_min":13,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Creative Agencies","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-11-11T13:59:01Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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