1,000+ matching jobs for “Senior Security Automation Engineer”

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Amgen

Sr Machine Learning Engineer

India - Hyderabad

Full time
Regular

Senior Machine Learning Engineer, AI Studio CAREER LEVEL: GCF 5 – Specialist CAREER TRACK: Individual Contributor …

Added Oct 15, 2026

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General Motors

Senior Software Engineer

Austin, Texas, United States

Hybrid
Full time
Regular

… candidate is expected to report to Austin, TX three times per week. The Role: We are looking for a Senior Software Engineer to join the team that is revolutionizing the automotive retail experience by building …

Added Oct 12, 2026

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Workday

Sr. Collaboration Engineer

Pleasanton, California, United States

Flex
Full time

… our workmates and external clients. The ideal candidate should have a passion for operational excellence, automation, AI engineering solutions, and developing modern collaborative workflows. This person must be driven with a …

Added Oct 27, 2026

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Visa

Sr. SW Engineer

Denver, Colorado, United States

Pay posted by employer$112,100–$173,400 USD per year

… working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes …

Added Oct 27, 2026

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Target

Sr Engineer - Managed Kubernetes

Bengaluru, Karnataka, India

… having to manage the complexity of the underlying Kubernetes infrastructure. Through API- and UI-driven automation, teams can provision, upgrade, and manage Kubernetes clusters at scale across on-premises and cloud …

Added Oct 16, 2026

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Fiserv

Senior Network Engineer - VXLAN

Marietta, Georgia, United States +3 locations

Full time
Regular

… supporting critical technology environments. In this role, you’ll work across data center networking, security, cloud connectivity, SDN, and network automation while helping drive new technologies from proof of concept …

Added Nov 3, 2026

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Boeing

Senior Software Engineer - DevSecOps

USA - Huntington Beach, CA

In person
Full time
Regular

Pay posted by employer$146,200–$197,800

… build, and maintain automated CI/CD pipelines to support secure software delivery and deployment. Integrate security tools and practices within the development lifecycle including static and dynamic code analysis, …

Added Oct 12, 2026

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General Mills

Sr. Infrastructure Engineer – eApps

Mumbai, Maharashtra, India

Hybrid
Full time
Regular

… migration, deployment, capacity, reliability, and lifecycle management. • Drive Infrastructure as Code and automation using Terraform as the primary tool, supported by Ansible, Python, and Shell scripting; use PowerShell …

Added Oct 27, 2026

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M&T Bank

Senior ATM Systems Engineer

Buffalo, New York, United States

Hybrid

Pay posted by employer$97,100–$161,800

Work closely with Technology management, senior Engineers, and support teams on a regular basis to implement and manage the design, development, and …

Added Nov 3, 2026

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Caterpillar

Senior Software Engineer

Bengaluru, Karnataka, India +1 location

… locomotives. Caterpillar is investing in our digital future, and we’re looking for the best Software Engineer. Our iconic products have evolved from mechanical work horses to highly sophisticated, …

Added Oct 27, 2026

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Workday

Senior Software Development Engineer

USA.VA.Reston

Flex
Full time

… for real-time and batch data processing. Construct Metrics ingestion pipelines, Alert definitions, and automation for Dashboard lifecycle management. Build and deploy infrastructure components in production environments. …

Added Oct 27, 2026

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Fannie Mae

Senior Windows Endpoint Engineer

Reston, Virginia, United States 2 postings

Flex
Full time
Regular

Pay posted by employer$123,000–$161,000 per year

… technology platforms, software, and applications under limited supervision. THE IMPACT YOU WILL MAKE The Senior Windows Endpoint Engineer role will offer you the flexibility to make each day your own, while working …

Added Oct 15, 2026

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Amgen

Sr Associate Software Engineer

India - Hyderabad 3 postings

Full time
Regular

Sr Associate Software Engineer What you will do Let’s do this. Let’s change the world. As a Senior Associate Software Engineer at Amgen, …

Added Oct 15, 2026

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Nasdaq

Senior Site Reliability Engineer

Philippines - Taguig City - National Capital Region

Full time
Regular

… systems to strengthen reliability, operational excellence, and customer outcomes. Drive observability, automation, patching, vulnerability management, and capacity practices across cloud platforms. Facilitate disaster …

Added Oct 27, 2026

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Visa

Senior Software Engineer

Foster City, California, United States

Pay posted by employer$123,000–$190,900 USD per year

Added Oct 27, 2026

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Mastercard

Senior Site Reliability Engineer

O'Fallon, Missouri, United States

… services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Site Reliability Engineer Overview-The ProCOM team is looking for a Site Reliability Engineering (SRE) who …

Added Oct 27, 2026

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Salesforce

Senior Software Engineer

New York City, New York, United States

Pay posted by employer$148,500–$223,900 per year

… cross-functionally to deliver high-impact solutions at global scale. Our team leads the development of Security Mesh, a new Salesforce product that connects and analyzes security signals across multiple systems and …

Added Oct 28, 2026

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Nvidia

Senior Software Verification Engineer

Ra'anana, Central District, Israel +1 location

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the …

Added Oct 27, 2026

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Booz Allen Hamilton

AWS Cloud Engineer, Senior

Rome, New York, United States +1 location

Pay posted by employer$99,000–$225,000

AWS Cloud Engineer, Senior The Opportunity: Are you looking for an opportunity to share your experience implementing security …

Added Oct 27, 2026

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Motorola Solutions

Sr. RF Engineer

Schaumburg, Illinois, United States

Pay posted by employer$101,300–$202,600 USD

… etc. Detailed understanding of RF circuits simulation tools (ADS, MATLAB, HFSS, CST, PSPICE, etc.), and lab automation (Python, LabView). Experience with Schematic capture and layout tools, Cadence Allegro a plus Wide breadth …

Added Nov 3, 2026

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Amgen

Sr Machine Learning Engineer

India - Hyderabad

Full time
Regular

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About this opportunity

Original employer description

Career Category

Information Systems

Job Description

Senior Machine Learning Engineer, AI Studio

CAREER LEVEL: GCF 5 – Specialist

CAREER TRACK: Individual Contributor

PRIMARY SCOPE: End-to-end ownership of a small AI asset or substantial technical workstream

ORGANIZATION: Applied AI | AI Studio

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains at the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.

ABOUT THE ROLE

Role Description:

The Senior Machine Learning Engineer position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle—from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will be part of AI Studio and define and own AI assets or substantial technical workstream from problem framing through architecture, model and system development, evaluation, launch, stabilization, support transition, adoption and measurable outcome.

You will remain hands-on while leading decisions across software, statistics, classical ML, deep learning, NLP, GenAI, RAG, bounded agents, data and knowledge pipelines, APIs, MLOps/LLMOps, security, governance and operations. Within Applied AI - AI Studio turn prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle operations.

Roles & Responsibilities:

Define the user, workflow, decision, intended use, baseline, value hypothesis, acceptance criteria, adoption path, operating owner and measurable technical and business outcomes.

Map rules, exceptions, data dependencies and human decision points before selecting deterministic automation, classical ML, deep learning, GenAI, RAG, agents or a manual approach.

Own production architecture across data, feature and knowledge pipelines, models, retrieval, agents, APIs, persistence, workflows, user experience, security zones and human review.

Lead hands-on development of production software, EDA, feature engineering, predictive models, deep-learning or NLP components, inference services, RAG, agent tools and workflow orchestration.

Establish baselines, experiment design, leakage controls, uncertainty, calibration, subgroup and robustness checks, gold sets, error taxonomies, expert adjudication and release thresholds.

Establish MLOps/LLMOps for lineage, reproducibility, versioning, CI/CD, canary or shadow release, observability, drift monitoring, SLOs, rollback, incidents, disaster recovery, capacity, cost and runbooks.

Coordinate security, privacy, Responsible AI, Quality, legal, model-risk and GxP controls; create reusable capabilities, measure adoption and value, mentor engineers and improve delivery practices.

Basic Qualifications and Experience:

• Bachelor’s/Master’s degree with 8 - 13 years of experience in Computer Science, IT or related field.

Functional Skills:

Advanced software and AI/ML system design: Production Python and SQL, APIs, distributed or event-driven services, data persistence, testing, performance, repository governance, design review and end-to-end architecture.

Advanced statistics, ML and experimental design: EDA, feature engineering, supervised and unsupervised learning, predictive modelling, ensembles, anomaly detection, calibration, uncertainty, robustness, explainability and causal reasoning where justified.

Deep learning, NLP and foundation models: Selection and production use of neural, transformer, embedding, vision, document and multimodal approaches, including fine-tuning versus prompting, latency, privacy and cost trade-offs.

GenAI, RAG, knowledge and agentic AI: Grounded retrieval, structured output, provenance, citations, abstention, entitlement controls, bounded tool use, permissions, durable state, recovery, adversarial evaluation and human control.

Data, knowledge, cloud and AI operations: Trustworthy batch/streaming pipelines, data contracts, lineage, vector/graph stores, Spark or Databricks, containers, Kubernetes, MLOps/LLMOps, SLOs and lifecycle operations.

Responsible AI and regulated delivery: Risk assessment, least privilege, threat modelling, red teaming, bias and subgroup robustness, privacy, model/data documentation, human accountability, validation and applicable GxP controls.

Must-Have Skills:

Demonstrated end-to-end ownership of at least one production ML, GenAI, software, data or automation system that delivered a measurable outcome.

Strong hands-on proficiency in Python and SQL, with experience designing production software, services and evaluation pipelines.

Advance capability in at least one role-defining pillar—Applied ML, GenAI/RAG/agents or ML platform/MLOps—plus credible depth across the production lifecycle.

Good-to-Have Skills:

Advanced ML, causal and uncertainty methods: Experience with data-centric AI, weak supervision, active learning, conformal or Bayesian uncertainty, causal inference, time-series, survival methods or drift-aware retraining.

Advanced deep learning and model efficiency: Experience with transformers, multimodal pipelines, CNNs, RNNs, GNNs, PEFT or LoRA, fine-tuning, distillation, quantization, routing, cascades or inference optimization.

Cloud, platform and AI operations: Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, serverless systems, infrastructure as code, MLflow, Airflow, Kubeflow, observability and FinOps.

Human-AI and regulated delivery: Experience with review, correction, approval, accessibility, uncertainty communication, workflow automation and GxP-relevant or validated systems.

Soft Skills:

Strong product thinking and ability to connect technical decisions to user, workflow, risk, cost and business value.

Technical leadership, mentoring and constructive challenge while remaining hands-on.

Excellent analytical judgment and clear communication of evidence, uncertainty, trade-offs and limitations.

Cross-functional leadership across business, product, architecture, engineering and control functions.

Ownership, resilience and continuous improvement through incidents, feedback and measured outcomes.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

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Full time
Regular
Technology

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