{"id":3602638,"url":"https://alion.io/job/oracle-software-development-snr-manager-4","title":"Software Development Snr Manager","company":{"id":53,"name":"Oracle","domain":"oracle.com","url":"https://alion.io/company/oracle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":334,"ghost_share":0,"stale_share":0.623,"repost_share":0.006,"time_to_fill_p50_days":9,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Management","role_family":"Management","seniority":"senior","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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-11-02T05:20:02Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T07:27:26Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a Senior Software Development Manager to lead an engineering team within Oracle’s AI-powered Development Experience organization. Your team will build capabilities that enable developers and agents to complete engineering work effectively, with relevant context, reusable tools, reliable execution, and useful feedback.\nIn this role, you will be accountable for your team’s people, execution, engineering quality, and operational outcomes. You will partner with product management and senior technical leaders to translate organizational priorities into a focused team roadmap, make realistic delivery commitments, and guide capabilities from initial exploration through production adoption.\nYou will establish AI-native ways of working within your team, including spec-driven development, coding agents, agent loops, and workflow graphs. Success requires strong technical judgment, effective people management, and the ability to resolve ambiguity within your team’s scope while working across organizational boundaries to address dependencies and deliver measurable improvements for developers.\n Responsibilities\nBuild and develop an effective engineering team\nHire, onboard, coach, and retain engineers with the skills needed to deliver the team’s mission.\n\nSet clear expectations, provide regular feedback, assess performance, and support individual career development.\n\nAssign meaningful ownership and balance delivery needs with opportunities for engineers to grow.\n\nBuild a team culture that encourages experimentation, sound engineering judgment, accountability, and early discussion of problems.\n\nIdentify skill and capacity gaps and address them through development, hiring, or adjustments to scope.\n\nOwn team priorities and delivery\nPartner with product management and technical leaders to define team outcomes, prioritize work, and maintain an achievable roadmap.\n\nTurn ambiguous needs into clear problems, bounded initiatives, and measurable acceptance criteria.\n\nEstablish delivery plans that account for technical uncertainty, dependencies, staffing, and operational responsibilities.\n\nTrack progress through working software and evidence, communicate risks early, and adjust plans as new information emerges.\n\nResolve obstacles within the team’s scope and work with peer managers and leaders on issues that require broader decisions.\n\nEstablish AI-native development practices\nMake effective use of AI part of the team’s everyday engineering practices, from planning and implementation through review and maintenance.\n\nGuide adoption of spec-driven development so engineers and agents work from clear intent, constraints, and executable acceptance criteria.\n\nSupport disciplined development of agent loops, workflow graphs, and harnesses, with appropriate evaluation, recovery, and human oversight.\n\nEstablish ownership and maintenance practices for specifications, skills, prompts, context configurations, and evaluations.\n\nEvaluate how AI changes the team’s work and improve practices based on quality, delivery outcomes, and total human effort.\n\nGuide technical quality and operations\nPartner with technical leads to make sound design decisions and maintain clear ownership of components and interfaces.\n\nEnsure the team builds appropriate testing, evaluation, security controls, and observability into its capabilities.\n\nReview significant technical tradeoffs and ensure unresolved architectural questions receive the right expertise.\n\nOwn the operational health of the team’s services, including deployment readiness, incident response, and follow-through on reliability improvements.\n\nBalance feature delivery with maintenance, technical debt, execution cost, and sustainable operational workload.\n\nDeliver useful capabilities and support adoption\nLead delivery of capabilities within the team’s assigned area, such as agent integrations, context services, reusable AI assets, evaluation tooling, or execution workflows.\n\nWork with internal customers to understand their needs, establish pilots, and assess results in real development workflows.\n\nCoordinate with partner teams on interfaces, dependencies, rollout, and support.\n\nEnsure documentation, examples, and onboarding support effective adoption.\n\nUse customer feedback and operational evidence to prioritize improvements.\n\nMeasure outcomes and improve team effectiveness\nDefine team measures that connect delivery to developer and customer outcomes, including task completion, quality, adoption, human effort, reliability, and cost.\n\nAccount for review, correction, and supervision effort when assessing AI-enabled workflows.\n\nUse evidence to decide which experiments to expand, revise, or stop.\n\nImprove planning, collaboration, and engineering practices while maintaining a sustainable pace.\n\nRequired qualifications\nExperience managing a software engineering team, including hiring, coaching, performance management, and career development.\n\nA strong software engineering background and experience delivering and operating production services or developer tools.\n\nDemonstrated ability to translate priorities into focused team plans and deliver through technical uncertainty and cross-team dependencies.\n\nTechnical judgment sufficient to guide design discussions, assess risks, and partner effectively with senior engineers.\n\nPractical experience applying AI to software development or delivering AI-enabled capabilities, with an understanding of evaluation and human oversight.\n\nFamiliarity with AI-native development approaches such as spec-driven development, coding agents, agent loops, or workflow graphs.\n\nExperience establishing engineering practices for testing, security, observability, and operational reliability.\n\nClear communication skills and the ability to resolve ambiguity, align partners, and hold the team accountable for outcomes.\n\nPreferred qualifications\nExperience leading a team building developer platforms, internal tools, automation, or AI-enabled services.\n\nExperience introducing AI-native engineering practices and assessing their effect on team productivity and software quality.\n\nFamiliarity with agent harnesses, MCP integrations, context retrieval, reusable skills, or distributed workflow execution.\n\nExperience moving experimental capabilities into supported production use.\n\nExperience partnering with internal engineering customers to drive adoption and improve developer workflows.\n\nFamiliarity with OCI or comparable cloud infrastructure and enterprise software development environments.\"\n\n Career Level - M3","description_format":"text","description_chars":6546,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["CRM Software","Cloud Platforms (IaaS & PaaS)","ERP & Business Management Software","HR & Payroll Software"],"lifecycle":[{"event":"open","at":"2026-11-02T10:13:37Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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