{"id":2328910,"url":"https://alion.io/job/tripleten-agentic-sdlc-teaching-expert-2","title":"Agentic SDLC Teaching Expert","company":{"id":42093,"name":"TripleTen","domain":"tripleten.com","url":"https://alion.io/company/tripleten-comblog","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":{"grade":"A","score":93,"open_postings":69,"ghost_share":0,"stale_share":0.391,"repost_share":0.116,"time_to_fill_p50_days":17,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Education","role_family":"Education","seniority":"senior","employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":140000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":66},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Model Context Protocol","optional":false}],"status":"live","first_seen_at":"2026-09-24T08:12:41Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-12T19:42:01Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Description\nNebius Academy (powered by TripleTen) is looking for an experienced, hands-on engineering expert to contribute to our masterclass program, starting with a session on Agentic SDLC.\nThe initial masterclass should demonstrate how a traditional software development lifecycle can be transformed for agentic development. We are looking for a practitioner who can present a concrete before-and-after case and explain how task specifications, code review, QA, release processes, and human oversight changed when AI agents became part of the engineering workflow.\nBeyond the initial session, we are interested in building an ongoing collaboration with the expert and potentially involving them in future masterclasses and educational initiatives, depending on program needs and mutual fit.\nWhat you will do\nDeliver technical masterclasses and expert sessions for Nebius Academy, starting with a masterclass on Agentic SDLC.\nExplain the transition from a traditional software development lifecycle to an agent-enabled development process.\nPresent a concrete before-and-after case, including changes to task specifications, code review, QA, and release practices.\nExplain how responsibilities are divided between engineers and AI agents, including where human judgment remains essential.\nShare practical experience with MCP, agent configuration, specifications for agents, and review gates for AI-generated code.\nUse materials developed by Nebius Academy or co-create and adapt the content together with our team.\nCollaborate with our curriculum team on the initial masterclass and, where relevant, future expert sessions and educational initiatives.\nRequirements\nMust have:\nCurrent or recent hands-on engineering experience at a well-known, large company that is a leader in its industry.\nExperience as a Staff Engineer, Tech Lead, Head of Engineering, Director of Engineering, CTO, or in a comparable senior technical role. A Senior Engineer from a FAANG-like company may also be considered.\nFirst-hand experience working with a traditional software development lifecycle before the adoption of AI agents.\nFirst-hand experience transforming an engineering process for agentic development, beyond the individual use of tools such as Copilot or Cursor.\nAbility to explain a concrete before-and-after transformation, including changes to task definition, code review, QA, releases, and engineering responsibilities.\nPractical experience with MCP, agent configuration, and specifications designed as input for AI agents.\nExperience defining review rules, checklists, or quality gates for AI-generated code.\nAbility to discuss real processes and implementation details without being prevented from doing so by NDA restrictions.\nContinued hands-on involvement in engineering processes, even when working in a leadership or architecture role.\nNice to have:\nExperience scaling an agentic engineering practice from one engineer to a whole team or organization.\nExperience overcoming resistance and formalizing a new engineering process across a team.\nPublic speaking, workshop facilitation, mentoring, or internal knowledge-sharing experience.\nExperience in a high-velocity engineering environment with frequent releases.\nExperience measuring the impact of agentic development on quality, delivery speed, or other engineering metrics.\nWhat we can offer you\nAn expert engagement with Nebius Academy, beginning with a masterclass on Agentic SDLC.\nThe opportunity to develop an ongoing collaboration and contribute to future masterclasses and educational initiatives, depending on program needs and mutual fit.\nAn hourly rate of up to USD 200.\nThe option to work with materials already developed by Nebius Academy.\nThe opportunity to co-create or adapt materials together with our curriculum team if you have relevant content and practical cases to contribute.\nThe opportunity to share real-world engineering 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