{"id":2687609,"url":"https://alion.io/job/bp-staff-software-engineer","title":"Staff Software Engineer","company":{"id":2557,"name":"BP","domain":"bp.com","url":"https://alion.io/company/bp-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":21,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":81000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-10-16T08:05:26Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T18:13:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Entity:\nTechnologyJob Family Group:\nIT&S GroupJob Description:\nRole Synopsis\nThe Staff Software Engineer is a senior technical lead role responsible for AWS AI Engineering work, designing, building, and supporting secure, scalable, production-ready AI and machine learning solutions on AWS. The role provides technical direction across solution architecture, engineering delivery, generative AI patterns, MLOps/AIOps, and operational readiness. It works closely with architects, technical leads, data engineers, software engineers, product teams, and business stakeholders to translate business needs into practical AI solutions. The role also carries line management accountability, including coaching, performance support, capability development, prioritisation, and creating an inclusive, high-performing engineering team.\nKey Accountabilities\nLead the design and delivery of cloud-native AI solutions on AWS, ensuring solutions are secure, scalable, resilient, cost-effective, and suitable for enterprise production.\n\nProvide technical leadership across AI and machine learning workflows, including data ingestion, feature engineering, model training, deployment, monitoring, continuous improvement, and operational support.\n\nShape and oversee generative AI capabilities, including large language model integration, prompt engineering, embeddings, vector search, retrieval-augmented generation patterns, and responsible AI considerations.\n\nSet engineering direction and quality standards for APIs, microservices, cloud architecture, security, testing, observability, reliability, maintainability, and production readiness.\n\nLine manage and develop software engineering colleagues, including coaching, regular feedback, performance support, capability building, workload prioritisation, and career development conversations.\n\nPartner with architects, product teams, data teams, engineering teams, and business stakeholders to align technical decisions with business outcomes, delivery priorities, governance expectations, and operational handover needs.\n\nEssential Education:\nBachelor’s or Master’s degree in computer science, engineering, data science, artificial intelligence, or equivalent practical experience.\n\nEssential Experience and Job Requirements:\nMinimum 10 years’ professional experience in software engineering, including significant hands-on experience delivering cloud-based enterprise solutions.\n\nDeep practical experience with AWS cloud services and strong exposure to AI, machine learning, and production-grade engineering practices.\n\nExperience leading the development of AWS-based AI solutions using large language models, machine learning, heuristics, embeddings, vector databases, and retrieval-augmented generation patterns.\n\nStrong technical leadership across cloud architecture, API design, microservices, containers, Kubernetes, modern software engineering, security, authentication, authorisation, identity, networking, monitoring, and cloud governance.\n\nGood understanding of MLOps, AIOps, CI/CD, model lifecycle management, observability, model registry, automated retraining, monitoring, and drift detection.\n\nProven experience line managing, mentoring, coaching, or leading software engineering colleagues, including supporting performance, capability development, prioritisation, and delivery outcomes.\n\nStrong stakeholder communication skills, with the ability to explain complex software engineering, AI, and cloud concepts to senior technical and non-technical audiences.\n\nDesirable criteria\nAWS certification and AI certification are preferred.\n\nExperience operating as a senior technical lead or engineering manager within an enterprise technology environment.\n\nExperience evaluating AI technologies and delivery patterns to support practical, cost-effective, secure, and scalable solution delivery.\n\nExperience integrating AI capabilities with enterprise applications, APIs, data platforms, and existing cloud services.\n\nExperience contributing to architectural deliverables, design documentation, deployment patterns, non-functional requirements, governance artefacts, and operational support guidance.\n\nAbout bp\nOur purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\nAdditional Information\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.\nEven though the job is advertised as full time, please contact the hiring manager or the recruiter as flexible working arrangements may be considered.\nWhat you can expect from us!\nOur commitment to diversity, equity and inclusion:\nAt bp, you could be part of Business Resource Groups (BRGs) which belief in the power of inclusion, deeper connections, and shared experiences. They provide a place for employees to learn and share knowledge, to connect, and to improve. The BRGs focus on and encourage talent engagement, development, and retention while creating a broadened sense of community and inclusion for bp employees. The groups cultivate leadership growth by involving employees in developmental opportunities they would not otherwise have access to. Formal and informal mentoring also helps employees develop their professional goals and connect with colleagues. The BRGs’ dedication to growth at all levels helps employees feel more engaged and energized. The BRGs break down barriers, so we can all do better together. Examples of BRGs include (but are not limited to):\nbpWIN (bp Women’s International Network)\nPride\nWorking parents\nPEN (Positively Ethnic Network)\nbpInclusia (bp’s Asian community)\nbpEnergía (bp’s Latin community)\nTravel Requirement\nUp to 10% travel should be expected with this roleRelocation Assistance:\nThis role is eligible for relocation within countryRemote Type:\nThis position is a hybrid of office/remote workingSkills:\nAgility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more}.\n\n Legal Disclaimer:\nWe are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individualswith an accessibility need may request an adjustment/accommodationrelated to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodationrelated to the recruitment process, please contact us.\nIf you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. 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