{"id":235843,"url":"https://alion.io/job/gale-manager-core-technology","title":"Manager, Core Technology","company":{"id":109146,"name":"GALE","domain":"gale.agency","url":"https://alion.io/company/gale-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":67,"open_postings":11,"ghost_share":0.545,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Marketing","role_family":"Marketing","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Agile","optional":true},{"name":"AI Agents","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"CI/CD","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"MySQL","optional":true},{"name":"OpenAI","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Pydantic","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Scrum","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-07-13T06:50:52Z","employer_posted_date":"2026-07-13","last_verified_at":"2026-10-31T18:18:05Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":109},"description":"GALE is a creative media consultancy that brings business insights to brand storytelling and activates it across every channel. With expertise in business strategy, media, CRM, addressable and integrated brand communications, performance marketing, and technology, GALE creates marketing systems and communications that grow businesses. GALE delivers strong outcomes for its partners in automotive, QSR, retail, gaming, entertainment, telecom and more. The agency currently has offices in New York, Detroit, Singapore, Toronto, Austin, Los Angeles, London, and Bengaluru.\nOur teams are connected by a set of core values that inform everything we do, from how we hire to how we work together: values like Everyone Matters, No Silos, and Masters of Our Craft. If you’re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you.\nAs a Manager, Core Technology at GALE, you will step into a senior engineering leadership role where your full-stack roots become a superpower. You will lead cross-functional squads building modern, scalable web platforms - owning everything from React-powered frontends to robust Python backends - while mentoring engineers, shaping architecture, and driving delivery across multiple product streams.\nWe primarily build using Python on the backend with frameworks like Django, FastAPI, and Flask, and React / Next.js on the frontend. We also leverage cloud services such as AWS (Lambda, S3, RDS, API Gateway) and containerization tooling including Docker. In this role, you are expected to be hands-on with this stack - comfortable diving into code, leading code reviews, debugging complex integration issues, and guiding the team through practical, implementation-level decisions.\nWho You Are\nExperience\n8+ years of experience in software engineering, with at least 2-3 years in a tech lead or senior lead capacity\n\nProven track record leading full-stack squads in fast-paced, delivery-driven environments\n\nDemonstrated ability to balance hands-on engineering contributions with team leadership and mentorship\n\nExperience collaborating with distributed or global teams is a plus\n\nAbility to get hands-on is a must for this role\n\nBackend Engineering\nStrong expertise in Python and backend frameworks such as Django, FastAPI, or Flask\n\nExperience designing and building reliable, extensible RESTful APIs and microservices\n\nSolid understanding of software engineering best practices: TDD, CI/CD, automated testing, code reviews, and observability\n\nFamiliarity with relational databases such as PostgreSQL or MySQL and working knowledge of cloud-native deployment patterns\n\nFrontend Engineering\nHands-on proficiency with React.js and modern frontend ecosystems (hooks, state management, component libraries)\n\nExperience with Next.js or similar SSR/SSG frameworks is a strong plus\n\nComfortable reviewing frontend code, defining component architecture, and guiding UI/UX implementation\n\nUnderstanding of frontend performance, accessibility, and cross-browser standards\n\nCloud & Infrastructure\nWorking knowledge of AWS services (Lambda, S3, RDS, EC2, API Gateway, or similar)\n\nFamiliarity with containerization tools such as Docker and orchestration basics (Kubernetes or ECS)\n\nExperience with CI/CD pipelines and DevOps practices\n\nLeadership & Ways of Working\nDriving execution in an Agile/Scrum development model\n\nStrong work breakdown, sprint planning, and estimation skills with the ability to juggle multiple initiatives and shift priorities as needed\n\nExperience setting a high bar for code quality, system design, and engineering discipline\n\nAbility to navigate ambiguity and unblock delivery challenges across concurrent workstreams\n\nAI & Emerging Technology\nExposure to AI application development, LLM integrations, or agent-based workflows\n\nFamiliarity with tools such as LangChain, OpenAI APIs, or RAG-based retrieval patterns is a plus\n\nSoft Skills\nExceptional communication skills (verbal and written), with the ability to explain technical concepts to non-technical stakeholders\n\nPeople-first leadership style: you enjoy mentoring engineers and helping teams succeed together\n\nThrives in collaborative, fast-moving environments and takes pride in building both great products and great teams\n\nA clear communicator who can bridge business goals and technical solutions without losing either audience\n\nWhat You'll Be Doing\nOwn Architecture & Technical Direction\nLead the design and delivery of scalable full-stack applications, APIs, and platform services\n\nOwn high-level and low-level system design decisions, defining technical approaches that prioritize scalability, reliability, and long-term maintainability\n\nEstablish and uphold architecture principles, coding standards, and engineering best practices across teams\n\nProvide hands-on guidance across Python backend services and React frontend applications - stepping into code reviews, debugging, and implementation when needed\n\nLead Full-Stack Product Delivery\nDrive end-to-end delivery of web products spanning React/Next.js frontends and Python (Django/FastAPI/Flask) backends\n\nOwn API design, integration patterns, and data contracts between frontend and backend layers\n\nCollaborate closely with design, product, and QA teams to deliver high-quality, performant, and accessible user experiences\n\nEnsure frontend and backend teams work cohesively, with shared understanding of system boundaries and delivery goals\n\nGuide AI & Intelligent System Integration\nContribute to solutioning and delivery of AI-powered features and agent-based workflows integrated within full-stack products\n\nGuide teams in adopting modern AI application patterns including RAG workflows, LLM integrations, and structured output pipelines\n\nWork with technologies such as LangChain, Pydantic, vector stores, and modern LLM application frameworks where applicable\n\nAI assisted coding practices and agentic coding practices is something we do at GALE and would like to hear about how you have incorporated this way of working.\n\nLead and Develop the Team\nLead, mentor, and coach engineers - helping them grow in technical depth, ownership, and decision-making capability\n\nFoster a culture of mentorship, accountability, collaboration, and continuous learning\n\nSupport sprint planning, estimation, work breakdown, and execution across multiple delivery streams\n\nPromote knowledge sharing, reusable patterns, and engineering consistency across squads\n\nCreate opportunities for growth, learning, and increased responsibility within the team\n\nDrive Agile Delivery\nExecute in an Agile/Scrum environment with a focus on frequent, incremental delivery and continuous improvement\n\nPlan and manage team deliverables and capacity across multiple concurrent projects, proactively managing risks and dependencies\n\nHelp teams navigate ambiguity and unblock delivery challenges with sound, pragmatic implementation decisions\n\nStakeholder & Client Collaboration\nTranslate business and client requirements into clear technical plans, roadmaps, and execution strategies\n\nPartner with product managers, designers, analytics, and client stakeholders to shape solutions and align priorities\n\nCommunicate technical decisions, trade-offs, risks, and progress clearly to both technical and non-technical audiences\n\nManage competing priorities across projects while maintaining focus on outcomes, quality, and team health\n\nFoster a \"No Silos\" Culture\nWork in a \"no silos\" environment, frequently collaborating with cross-functional roles including strategy, media, CRM, analytics, creative, and technology\n\nPromote knowledge sharing, documentation, and cross-team collaboration to build reusable patterns and shared engineering accelerators\n\nBuild trust across engineering and cross-functional teams through clarity, responsiveness, and consistent follow-through\n\nCreate a team environment that reflects GALE's values: Everyone Matters, No Silos, and Masters of Our Craft","description_format":"text","description_chars":8005,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous 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