Platform Engineer Remote Jobs in Alabama (US)
This page tracks remote platform engineer openings that are location-eligible for Alabama.
This page tracks remote platform engineer openings that are location-eligible for Alabama.
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703 Jobs
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Happy Returns is committed to providing a workplace free of discrimination, harassment, and retaliation. Happy Returns is an equal opportunity employer. Happy Returns does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Role Description At Happy Returns, we’re transforming the most frustrating part of online shopping — returns — into a fast, easy, and delightful experience. Our Platform team builds and maintains the core data platform to support our business, as well as internal tools to support our engineering efforts. We design reliable, scalable services that enable product teams to ship quickly, data teams to operate efficiently, and retailers and shoppers to have seamless experiences. As a Platform Software Engineer, you’ll work on backend systems and data infrastructure that power analytics, operational workflows, and product capabilities. This role is best suited for engineers who are comfortable owning features end-to-end and have hands-on experience working with databases, data pipelines, and data platforms. This is a remote position within the United States. Your day to day: - Design, build, and maintain backend services and data pipelines using technologies such as Go, Python, and PostgreSQL. - Own the implementation of well-scoped projects from design through deployment and monitoring. - Work with structured and semi-structured data to support analytics, product features, and internal tools. - Participate in system design discussions, contributing to decisions around data modeling, system boundaries, and scalability. - Write clean, maintainable, and well-tested code, and provide thoughtful code reviews for peers. - Debug production issues and improve system reliability through monitoring and observability improvements. - Collaborate closely with Product, Data, and other engineering teams to translate business needs into technical solutions. Qualifications - 3–5 years of professional experience in backend or data-oriented software engineering roles. - 2-3 years of experience working with databases (e.g., PostgreSQL, MySQL, DynamoDB) including schema design and query optimization. - Experience building or maintaining data pipelines or data processing workflows (ETL/ELT, batch or streaming). - Proficiency in at least one backend programming language such as Go or Python. - Ability to take a problem from loosely defined requirements to a working, production-ready solution. - Comfort debugging issues across services and reasoning about system behavior. - Strong communication skills and ability to collaborate across teams. Requirements - Experience with cloud infrastructure (AWS) and containerization (Docker, Kubernetes). - Familiarity with modern data platforms and tooling (e.g., dbt, Redshift, BigQuery, Snowflake, Databricks). - Experience with event-driven architectures or distributed systems. - Exposure to developer tooling, internal platforms, or infrastructure systems. - Experience improving performance or reliability of production systems. Benefits - This is a fully remote position and is not limited to candidates located in Georgia. EEO Statement Integrated into our shared values is Happy Returns’ commitment to diversity. Happy Return is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. This concept encompasses but is not limited to human differences with regard to race, ethnicity, religion, gender, culture and physical ability. Every individual at Happy Return has an ongoing responsibility to respect and support a globally diverse environment. Visa Sponsorship We do not offer visa sponsorship or transfer for this role. Statement to Third Party Agencies To all recruitment agencies: Happy Return only accepts resumes from agencies on the UPS preferred supplier list. Happy Return is not responsible for any fees or charges associated with unsolicited resumes.
Since 1955, we have been leaders in tax preparation, financial services, and small business solutions. With 70,000 associates and 9,000 retail tax locations across North America, Australia, Ireland, and India, we have helped millions of clients and countless communities. If you embrace challenges as opportunities, value winning as a team, and seek to make a meaningful difference, join us on our journey.
Role Description The Technical Director, Platform Engineering is a senior, hands-on technical leader responsible for designing, building, and evolving the foundational platforms that power engineering across the organization. This role leads the development of scalable, reliable, and secure platform capabilities, enabling product teams to deliver faster with higher quality. The role combines deep technical expertise with leadership—driving architecture, building core systems, establishing best practices, and mentoring engineering talent. This leader operates close to the code and systems, setting the technical bar while enabling organizational scale. Day to day, you'll... - Platform & Architecture Leadership - Design and evolve core platform capabilities (cloud infrastructure, developer platforms, CI/CD, observability, data foundations). - Define and enforce architectural patterns for scalability, resilience, and performance. - Lead platform modernization efforts, including migration, standardization, and tooling. - Hands-On Engineering Leadership - Contribute directly to system design, critical code paths, and technical problem solving. - Guide engineering teams through complex technical decisions and tradeoffs. - Establish and review implementation standards, code quality, and system health. - Developer Experience & Enablement - Build internal platforms, tools, and frameworks to accelerate developer productivity. - Create reusable patterns and services to reduce duplication and improve consistency. - Drive improvements in engineering velocity, reliability, and cost efficiency. - Standards & Best Practices - Define and operationalize best practices across DevOps, SRE, security, and platform engineering. - Establish SLAs, SLOs, and operational excellence frameworks. - Ensure adherence to compliance, governance, and security requirements. - Mentorship & Talent Development - Mentor senior engineers and emerging leaders in architecture and engineering excellence. - Raise the technical bar across teams through coaching and example. - Influence hiring, onboarding, and capability development. - Cross-Functional Leadership - Partner with Product, Data, Security, and Infrastructure teams to align on platform strategy. - Act as a technical connector across teams, ensuring platform investments support business priorities. Qualifications - 10+ years in software engineering, with significant experience in platform engineering or infrastructure. - Proven experience designing and operating large-scale distributed systems. - Experience leading platform or infrastructure teams in cloud-first environments. Requirements - Deep expertise in cloud platforms (AWS, Azure, or GCP). - Strong experience with CI/CD, infrastructure-as-code, observability, and automation. - Solid understanding of system design, distributed architectures, and reliability engineering. Benefits - Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage. - Participate in the H&R Block Retirement Savings Plan (401(k) Plan). - Access to the Employee Assistance Program, (virtual) fitness center programs, and the associate discount program. - Automatically enrolled in Business Travel Accident Insurance. - Receive Associate Tax Prep benefit. Pay Range The pay range for this position is $154,900.00 - $263,300.00/Yr.
Quality-based recruiting partner that specializes in executive level search, recruiting, & process improvement
• Design, develop, and support scalable data pipelines and cloud-native data architectures. • Build and maintain production-ready applications and data processing frameworks using Python, PySpark, Scala, and related technologies. • Partner with engineering and business stakeholders to deliver analytics-ready datasets and reporting capabilities. • Contribute to technical architecture decisions, platform improvements, and development best practices. • Develop and optimize ETL/ELT workflows and streaming data solutions. • Create and manage data models, reporting structures, and analytics dashboards using AWS-native tools. • Work with relational and NoSQL databases to support high-volume data processing and storage requirements. • Implement cloud infrastructure solutions leveraging AWS services and container orchestration platforms such as Kubernetes or ECS. • Collaborate with operations teams on backup, disaster recovery, data retention, and security strategies. • Participate in code reviews, technical mentorship, and collaborative problem-solving across the engineering organization. • Evaluate and recommend modern technologies and frameworks that improve scalability, efficiency, and reliability.
Do More With Your Data. Make Healthcare Smarter.
• Own the end-to-end architecture and delivery of scalable data solutions, with a strong emphasis on Databricks-based platforms and modern cloud ecosystems • Lead design and implementation of data pipelines, data models, and transformation frameworks that support analytics, reporting, and advanced use cases • Serve as a primary client-facing technical leader, building trusted relationships and guiding stakeholders through complex data challenges and solution decisions • Translate ambiguous business requirements into clear, actionable technical architectures and delivery plans • Establish and enforce best practices across data engineering, including data ingestion (pipeline orchestration, testing, and optimization) and DevOps • Drive platform strategy and architecture decisions, including lakehouse design, medallion architecture, and governance frameworks • Lead and mentor delivery teams, providing technical guidance, code reviews, and hands-on support to ensure successful project outcomes • Collaborate with cross-functional teams including data architects, analysts, and client stakeholders to ensure alignment and value delivery • Identify risks, proactively address challenges, and ensure high-quality, timely delivery across engagements • Contribute to internal capability building, including reusable frameworks, accelerators, and thought leadership • Support business development efforts by shaping technical solutions, contributing to proposals, and participating in client discussions
Role Description As we scale, we’re looking for an experienced and highly capable Platform Engineer to help build, secure, and scale the infrastructure powering Blooming Health’s rapidly growing platform. This is a US-based remote role with required overlap on EST hours. This Platform Engineer will play a critical role in strengthening the reliability, scalability, observability, and security of our infrastructure as the company enters its next phase of growth. Working closely with our existing DevOps and Engineering teams, this person will help mature platform operations, improve engineering enablement, and ensure our systems are built to support increasing scale, compliance requirements, and operational complexity. The ideal candidate is a strong technical self-starter who thrives in startup environments, communicates effectively across teams, and can quickly take ownership of infrastructure and platform initiatives in a fast-moving engineering organization. What You'll Do - Infrastructure Scaling & Reliability: Design, improve, and maintain scalable, reliable cloud infrastructure capable of supporting a rapidly growing SaaS platform and engineering organization. - Platform Engineering & Automation: Build and improve internal platform tooling, infrastructure automation, deployment workflows, and operational processes that increase engineering velocity and platform stability. - Cloud Infrastructure Management: Manage and optimize cloud environments across GCP and/or AWS, ensuring systems are secure, cost-effective, scalable, and operationally mature. - Infrastructure as Code: Lead infrastructure automation efforts using Terraform and modern infrastructure-as-code best practices to improve consistency, reliability, and operational efficiency. - Observability & Monitoring: Improve monitoring, alerting, logging, and observability practices across the platform. Help establish proactive operational visibility and improve incident response processes using tools such as New Relic. - Security & Compliance Partnership: Partner with Engineering and Compliance teams to strengthen infrastructure security, support compliance requirements, and improve operational readiness for secure and regulated environments. - Cross-Functional Collaboration: Work closely with Engineering, AI, and Product teams to support platform needs, improve developer workflows, and ensure infrastructure supports evolving product and AI initiatives. - Technical Execution & Problem Solving: Troubleshoot complex infrastructure and production issues, identify optimization opportunities, and proactively improve system performance, reliability, and scalability. Qualifications - Cloud Infrastructure Expertise: Strong hands-on experience with modern cloud platforms, including GCP and/or AWS. GCP experience is strongly preferred. - Terraform Experience: Deep experience building and managing infrastructure using Terraform and infrastructure-as-code best practices. - Software Engineering Capability: Comfortable writing and maintaining production-quality code and automation in Go, JavaScript, or TypeScript. - Startup & Growth-Stage Experience: Experience helping startups scale infrastructure and operational maturity through periods of rapid growth and increasing system complexity. - Observability & Monitoring Experience: Strong understanding of monitoring, logging, alerting, and production observability practices, including experience with tools such as New Relic. - Security & Scalability Mindset: Experience designing and maintaining secure, scalable production infrastructure with a strong understanding of operational reliability and engineering best practices. - Strong Communication & Collaboration Skills: Excellent written and verbal communication skills with the ability to clearly communicate technical requirements and collaborate effectively across teams. - Self-Starter Mentality: Highly proactive, resourceful, and capable of independently driving technical initiatives in fast-paced environments. Preferred Qualifications - Healthcare Technology Experience: Experience working within healthcare technology environments or supporting systems involving HIPAA, PHI, or regulated data is strongly preferred. - Compliance & Secure Infrastructure Experience: Familiarity supporting compliance-oriented engineering environments and collaborating with compliance or security stakeholders. - Distributed Team Collaboration: Experience working closely with distributed engineering and platform teams across multiple time zones. - Developer Enablement & Internal Platform Tooling: Experience building internal tooling, deployment systems, and infrastructure workflows that improve developer productivity and operational efficiency. - AI Infrastructure Exposure: Familiarity supporting infrastructure needs for AI/ML or data-intensive applications is a plus.
At College Board, we offer more than a paycheck- we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive.
Role Description As a Principal Engineer, you will operate as a platform-level technical leader responsible for helping the organization solve complex, cross-cutting challenges that span teams, products, and domains. Rather than owning a single system, you will work across a broad portfolio of initiatives, helping teams navigate ambiguity, align on direction, and make sound technical decisions while balancing immediate delivery needs with long-term platform evolution. You will partner closely with Engineering Managers, Product leaders, Architects, and senior engineers to shape strategy, influence priorities, and drive alignment across a growing ecosystem of assessment platforms. A significant part of the role involves transforming ambiguous business and technical challenges into clear technical strategies, helping stakeholders evaluate tradeoffs, and building consensus across teams with differing priorities and perspectives. Success in this role comes from technical judgment, communication, and the ability to bring people together around shared solutions as much as from individual technical contributions. The work requires frequent context switching across teams and initiatives, moving between technical discovery, architecture, stakeholder conversations, and organizational decision-making while maintaining a clear view of the broader platform strategy. - Technical Strategy, Architecture & Platform Leadership (60%) - Drive technical direction across multiple teams and systems, ensuring decisions support both immediate delivery needs and long-term platform goals. - Translate ambiguous business needs, emerging opportunities, and complex technical challenges into actionable technical strategies and execution plans. - Help teams evaluate tradeoffs, identify risks, and make informed architectural decisions in complex and evolving problem spaces. - Partner with Engineering Managers, Architects, and senior+ engineers to align technical investments, reduce duplication, and improve platform cohesion. - Influence the evolution of shared services, platform capabilities, engineering standards, and development practices across the organization. - Lead technical discovery, prototyping, and experimentation efforts that help shape future product and platform direction while reducing implementation risk. - Promote thoughtful adoption of emerging technologies, including AI-assisted engineering and agentic development practices, while balancing innovation with reliability, maintainability, and operational excellence. - Establish technical patterns, decision frameworks, and architectural guardrails that enable teams to move faster while maintaining quality and consistency. - Organizational Influence, Collaboration & Coaching (40%) - Serve as a trusted technical advisor across teams, helping stakeholders align around technical approaches, priorities, and tradeoffs. - Partner with Product, Design, Data, and Engineering leaders to shape roadmaps, evaluate opportunities, and solve high-impact organizational challenges. - Build consensus across technical and non-technical stakeholders when requirements, priorities, or technical approaches are not initially aligned. - Foster alignment across teams working on interconnected systems, ensuring local decisions support broader platform goals and organizational outcomes. - Mentor senior engineers, lead engineers, and emerging technical leaders through coaching, design reviews, and technical guidance. - Facilitate knowledge sharing and create clarity around engineering standards, architectural decisions, and platform strategy. - Support hiring, interviewing, and development of engineering talent across the organization. - Contribute to a culture of experimentation, continuous improvement, engineering excellence, and shared ownership. Qualifications - 10+ years of experience building and operating cloud-native software systems, including significant experience working across multiple teams, products, or domains. - Demonstrated success influencing technical direction beyond a single team through collaboration, persuasion, and strong technical judgment. - Deep experience with JavaScript/TypeScript, Python, React, Node.js, AWS, and serverless architectures, along with curiosity about emerging technologies and AI-assisted development. - Experience leading complex architectural discussions and technical strategy across cloud-native platforms, distributed systems, and evolving organizational priorities. - Ability to communicate effectively with engineers, product leaders, and non-technical stakeholders, translating complex concepts into actionable decisions. - A systems-thinking mindset with the ability to balance platform health, business outcomes, engineering velocity, and long-term platform reuse. - Experience driving alignment across teams without relying on direct authority. - A collaborative leadership style that prioritizes organizational success over ownership of any individual system. Requirements - A passion for expanding educational and career opportunities and mission-driven work. - Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively. - Clear and concise communication skills, written and verbal. - A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input. - A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking. - A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success. - The ability to travel 3-5 times a year to College Board offices or on behalf of College Board business. - Authorization to work in the United States. Benefits - A meaningful career, a supportive team, and a comprehensive package designed to help you thrive. - A Thoughtful Approach to Compensation: The hiring range for this role is $220,000 - $230,000. - Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board. - Open, transparent conversations about compensation, benefits, and what it’s like to work at College Board throughout your hiring process.
Haley & Aldrich is committed to solving our clients’ most meaningful challenges in the built and natural environments. Our team of 1,000+ engineers and scientists across the United States draws inspiration from one mission: to work closely with clients as they navigate change to create safer, more robust places to live and work. Since our founding in 1957, organizations across the public and private sectors have relied on us for technical excellence and empathetic leadership that achieve results and secure a thriving tomorrow.
Role Description We are seeking an experienced and accomplished Power Platform Developer. This is a full-time, virtual role aligned with our Burlington, MA office. The Power Platform Developer will support development, integration, and troubleshooting of solutions across the Microsoft Power Platform and enterprise data environment. - Develop and support solutions using Power BI and other Power Platform tools - Design and implement data integrations between Deltek ERP and downstream systems - Support data feeds and reporting requests from internal business users - Implement and configure vendor APIs to integrate external and internal systems - Troubleshoot data, reporting, and automation issues across platforms - Ensure data security, access controls, and governance standards are maintained - Collaborate with power users (“citizen developers”) to enable solutions while enforcing guardrails - Apply business logic to technical solutions and recommend practical approaches - Evaluate requests for premium licensing and recommend appropriate alternatives where possible - Work within standard product capabilities, minimizing custom development where feasible Qualifications - Strong experience with Power BI (required) - Experience with other tools such as Power Apps and Power Automate - Strong SQL skills (queries, joins, data modeling) - Understanding of database structures and data flow - Experience with ETL processes and data movement - Experience implementing APIs (not building from scratch) - Understanding of how data flows between applications - Experience working with ERP or enterprise systems (Deltek experience preferred) - Strong troubleshooting and problem-solving skills - Ability to independently research and resolve technical issues - Ability to translate business needs into technical solutions - Understanding of software licensing models (Power Platform licensing a plus) - Collaborative mindset with ability to support business users while maintaining governance Requirements - Python - Microsoft Azure (cloud-hosted databases/environment) - Data Lake architecture and usage - GitHub or version control integration - Data security and permissions management - SMTP / SFTP data transfer methods Benefits - Highly competitive total compensation plan - Solid benefits package - Excellent career growth opportunities Company Description Haley & Aldrich is committed to solving our clients’ most meaningful challenges in the built and natural environments. Our team of 1,000+ engineers and scientists across the United States draws inspiration from one mission: to work closely with clients as they navigate change to create safer, more robust places to live and work. Since our founding in 1957, organizations across the public and private sectors have relied on us for technical excellence and empathetic leadership that achieve results and secure a thriving tomorrow.
Waymo is a company in the autonomous driving technology space offering self-driving vehicles with the potential to increase mobility and decrease lives lost in
Role Description The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products. We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the goal of providing unified user-friendly Experimentation platform. - Implement and scale the core economic engine for Waymo's ride-hailing commercial services. - Work on novel experimentation, simulation and analysis infrastructure supporting Marketplace product data science. Qualifications - BS degree in Computer Science or equivalent practical experience. - 4+ years of experience programming in backend coding languages such as Java or C++. - Experience in building backend platforms supporting multiple product use-cases/services. - Experience working with product data science teams and developing code to automate ML/Optimization product launches. Requirements - MS in Computer Science, or equivalent practical experience. - Experience building and deploying high-fidelity simulation systems running ML/Optimization production code. - Experience developing and configuring Experimentation services running concurrent A/B or Switchback experiments. - Experience working at another Ride hailing or Marketplace company. - Coursework background in experiment design or simulation systems. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Salary Range: $175,000 — $215,000 USD
Role Description We are looking for a technically sharp and people-focused Platform Engineer to own, scale, and optimize our internal Salesforce platform. This role isn't just about administration — it's about architecting scalable, high-quality solutions that make the People team and the employees they support more effective every day. - You will be the primary technical owner of our People Salesforce org balancing KLTO (Keep Lights On) operations with strategic platform improvements. - Work closely with People Operations, People Solutions, GTMS, Corporate Technology, and vendor teams to ensure our Salesforce platform is well-governed, deeply integrated, and continuously improving. - Bridge the gap between HR strategy and technical execution, ensuring our Salesforce environment is secure, highly automated, and seamlessly integrated with the rest of our tech stack (e.g., Slack). Responsibilities - Design, build, and maintain scalable configurations and customisations within the Salesforce platform. - Build robust, maintainable declarative solutions — including Advanced Flows and Approval Processes. - Own and optimize data pipelines and API integrations between Salesforce and core People systems (e.g. Workday). - Maintain strict data privacy standards by managing profiles, permission sets, sharing rules, and field-level security for sensitive HR data. - Own the deployment pipeline to ensure smooth, well-tested releases of new HR features. - Monitor app health and performance across critical People workflows, triage incidents with urgency and rigour. - Build complex reports, dashboards, and CRM Analytics to help the People team track key metrics. - Work alongside the broader People Solutions team to translate business requirements into a prioritised Salesforce product roadmap. - Partner with Global People Operations, People partners, wider People team, Corporate Technology, and other stakeholders to translate complex business needs into scalable technical requirements. Qualifications - 5+ years of hands-on experience as a Salesforce Engineer, Platform Specialist, or Advanced Administrator. - Deep knowledge of HR Service, Service Cloud (Case Management, Knowledge Base, Omni-Channel) and Experience Cloud (Employee Portals). - Proficient with Salesforce Flow, data migration tools (Data Loader), and a solid understanding of relational databases. - Proven experience handling highly confidential data with strict governance and security controls. - Salesforce Certified Administrator and Salesforce Certified Platform App Builder are highly preferred. - Strong interpersonal skills with the ability to set clear expectations with senior stakeholders. - Ability to lead cross-functional projects, navigating ambiguity and high-pressure timelines. - Bachelor’s degree or equivalent practical experience. Preferred qualifications - Experience with Salesforce Apex, Lightning Web Components (LWC). - Familiarity with HRIS platforms (e.g., Workday, Greenhouse, ADP) and integration tools (e.g., MuleSoft, Workato, Zapier). - Experience working in an Agile/Scrum environment using tools like Jira. - Familiarity with HR service delivery models, case management workflows, and the broader People/HR technology landscape. - You are a "low-ego, high-talent" individual who loves adding organization to chaos.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents.
Role Description We are hiring a Senior Platform Engineer to lead security tooling and enablement within Platform Engineering for our global SaaS environment. This role focuses on building the platforms, automation, and guardrails that help engineering teams adopt security requirements in practical, scalable ways across the software development lifecycle. You will work at the intersection of Security, Platform Engineering, and development teams. In our model, the Security team defines policies, standards, and best practices, and Platform Engineering enables and enforces them through engineering solutions. This is a senior individual contributor role for an engineer who can lead proofs of concept, drive initiatives with limited guidance, and turn complex problems into clear, executable solutions. What you will do: - Lead security tooling across application security, dependency and supply chain security, artifact and container security, cloud security posture, and policy-driven workflows. - Build, integrate, and operate tools such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, and similar platforms. - Design automation for vulnerability detection, dependency hygiene, patch planning, remediation tracking, and governed security workflows. - Partner with Security and Engineering to turn defined policies and best practices into practical controls, delivery pipeline guardrails, and developer-friendly workflows. - Improve the developer experience of security tooling by reducing noise, improving remediation clarity, and helping teams move faster without weakening security controls. - Drive security-focused initiatives and OKR efforts by defining technical approaches, breaking down work, and leading execution. - Support the ongoing health and improvement of security tooling, including internally built or AI-assisted security automation where appropriate. - Work with operational teams to support secure adoption of AI-enabled engineering tools and build controls around their use where needed. Qualifications - 5+ years of experience in security engineering, platform engineering, development operations, site reliability engineering, or software engineering in production environments. - Strong programming or scripting skills in Go, Python, Bash, or similar languages. - Hands-on experience with security tooling and practices across areas such as code scanning, dynamic testing, software composition analysis, secret scanning, container or image scanning, artifact security, cloud security posture management, and policy enforcement. - Experience with or exposure to tools such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, Dependabot, Renovate, or similar security and dependency management platforms. - Strong understanding of vulnerability management, dependency management, and security controls within software delivery and developer workflows. - Familiarity with Kubernetes, containers, cloud platforms, Git-based workflows, and infrastructure as code concepts. - Ability to lead technical initiatives, run proofs of concept, and deliver solutions from ambiguous requirements. - Strong collaboration and communication skills, with the ability to translate security needs into practical engineering solutions. Requirements - Experience using AI-assisted tools to improve engineering productivity, security workflows, and developer experience. - Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor for work such as code review, documentation, and test generation. - Experience applying AI to security use cases such as log analysis, threat investigation, remediation support, or security documentation. - Familiarity with large language model APIs, agent-based workflows, or internally built AI tooling, along with the ability to evaluate and enable these tools responsibly within engineering environments. - Understanding of security considerations for AI tools, including data leakage, prompt injection, shadow AI, and compliance with enterprise AI policies. Preferred Skills - Exposure to compliance-driven environments such as SOC 2 or similar frameworks. - Experience supporting AI-assisted or internally built security automation. - Familiarity with modern software delivery environments where security tooling must balance risk reduction with engineering velocity.
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Python, AWS, ETL, Observability/Monitoring, Kubernetes, Distributed Systems