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Staff Software Engineer

Role overview

Qualifications

  • Bachelor’s or Master’s degree in computer science, engineering, data science, or equivalent practical experience
  • Minimum 10 years’ professional experience in software engineering
  • Deep practical experience with AWS cloud services and AI, machine learning practices

Responsibilities

  • Lead the design and delivery of cloud-native AI solutions on AWS
  • Provide technical leadership across AI and machine learning workflows
  • Shape and oversee generative AI capabilities
  • Line manage and develop software engineering colleagues

Key facts

Hard skills

Other skills

  • Mentorship
  • Communication
  • Collaboration
  • Problem Solving

About the company

BP logo

BP

Oil & Gas

The world is changing fast and our industry is changing with it. The energy mix is shifting towards lower carbon sources, driven by technological advances and growing environmental concerns. In bp, we will help drive this transition - and our business will be transformed by it. We are continually looking for talented, committed and ambitious people to help us shape the face of energy for the future.

Company details

Company typeLarge
IndustryOil & Gas
Company size10001

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Job description

Entity:

Technology


Job Family Group:

IT&S Group


Job Description:

Role Synopsis

The 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.

Key Accountabilities

  • Lead the design and delivery of cloud-native AI solutions on AWS, ensuring solutions are secure, scalable, resilient, cost-effective, and suitable for enterprise production.

  • Provide technical leadership across AI and machine learning workflows, including data ingestion, feature engineering, model training, deployment, monitoring, continuous improvement, and operational support.

  • Shape and oversee generative AI capabilities, including large language model integration, prompt engineering, embeddings, vector search, retrieval-augmented generation patterns, and responsible AI considerations.

  • Set engineering direction and quality standards for APIs, microservices, cloud architecture, security, testing, observability, reliability, maintainability, and production readiness.

  • Line manage and develop software engineering colleagues, including coaching, regular feedback, performance support, capability building, workload prioritisation, and career development conversations.

  • Partner 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.

Essential Education:

  • Bachelor’s or Master’s degree in computer science, engineering, data science, artificial intelligence, or equivalent practical experience.

Essential Experience and Job Requirements:

  • Minimum 10 years’ professional experience in software engineering, including significant hands-on experience delivering cloud-based enterprise solutions.

  • Deep practical experience with AWS cloud services and strong exposure to AI, machine learning, and production-grade engineering practices.

  • Experience leading the development of AWS-based AI solutions using large language models, machine learning, heuristics, embeddings, vector databases, and retrieval-augmented generation patterns.

  • Strong technical leadership across cloud architecture, API design, microservices, containers, Kubernetes, modern software engineering, security, authentication, authorisation, identity, networking, monitoring, and cloud governance.

  • Good understanding of MLOps, AIOps, CI/CD, model lifecycle management, observability, model registry, automated retraining, monitoring, and drift detection.

  • Proven experience line managing, mentoring, coaching, or leading software engineering colleagues, including supporting performance, capability development, prioritisation, and delivery outcomes.

  • Strong stakeholder communication skills, with the ability to explain complex software engineering, AI, and cloud concepts to senior technical and non-technical audiences.

Desirable criteria

  • AWS certification and AI certification are preferred.

  • Experience operating as a senior technical lead or engineering manager within an enterprise technology environment.

  • Experience evaluating AI technologies and delivery patterns to support practical, cost-effective, secure, and scalable solution delivery.

  • Experience integrating AI capabilities with enterprise applications, APIs, data platforms, and existing cloud services.

  • Experience contributing to architectural deliverables, design documentation, deployment patterns, non-functional requirements, governance artefacts, and operational support guidance.

About bp

Our 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!

We 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.

Additional Information

We 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.

Even though the job is advertised as full time, please contact the hiring manager or the recruiter as flexible working arrangements may be considered.

What you can expect from us!

Our commitment to diversity, equity and inclusion:

At 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):

bpWIN (bp Women’s International Network)
Pride
Working parents
PEN (Positively Ethnic Network)
bpInclusia (bp’s Asian community)
bpEnergía (bp’s Latin community)


Travel Requirement

Up to 10% travel should be expected with this role


Relocation Assistance:

This role is eligible for relocation within country


Remote Type:

This position is a hybrid of office/remote working


Skills:

Agility 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}

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Legal Disclaimer:

We 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. Individuals with an accessibility need may request an adjustment/accommodation related 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/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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