Terraform Cloud Jobs in Usa

Role: Cybersecurity Engineer III

Location: MD – Silver Spring, DC, or ATL – Techwood - Onsite

Job Description

Job Responsibilities / Typical Day in the Role

• Implement design reviews to evaluate security controls

• Identify and communicate opportunities to enhance the security posture of WBD

• Build and / or manage enterprise security platforms effectively

• Communicate effectively across all levels of management to articulate WBD security goals and vision.

• Identify and communicate opportunities to enhance the security posture of WBD

• Build and / or manage enterprise security platforms effectively (SAAS, on premise or in Cloud)

• Communicate effectively across all levels of management to articulate WBD security goals and vision.

• Have a team player mentality; strive to contribute to team cohesion however can work independently if the need arises

• Plan, design, engineer and implement security-related technologies

• Understanding technical security issues, their implications within WBD business units and able to effectively communicate them to management and other business leaders.

• Configure, troubleshoot, and maintain security infrastructure – including software and hardware in cloud environments, as well as on-premises.

• Conduct security audits and assessments to regularly determine the effectiveness of security platforms and identify areas of improvement.

• Host and operating systems hardening, auditing, monitoring and logging with appropriate security controls and best practices while meeting security best practices and business goals

• Research and explore emerging security technologies and determine their appropriate use within the company.

• Prepare, document, and create standard operating procedures and protocols.

• Crosstrain and mentor other team members as needed

Must Have Skills / Requirements

1) Implementing advanced cyber security technology in a complex environment

a. 5+ years of experience; Hands-on experience in security engineering, hands-on experience in building, designing, and maintaining enterprise security tools.

2) Scripting experience (using Python, Go, or other equivalent languages)

a. 5+ years of experience.

3) Hands-on Experience with automation technologies

a. 3+ Years of experience; Terraform, Ansible, CloudFormation, etc.

4) Linux Experience.

a. 5+ years of experience; Ability to construct and maintain complex network infrastructures.

Technology requirements:

• Engineer and administer security platforms including SIEM/SOAR systems, endpoint detection and response, vulnerability management, anomaly detection, and cloud analysis.

• Experience in managing the Brinqa vulnerability management platform and experience with Groovy programming language

• Must have 5+ years of scripting experience (using Python or other equivalent languages)

• Hands-on Experience in public cloud infrastructures like AWS (Amazon Web Services)

Nice to Have Skills / Preferred Requirements

1) Security and Cloud certifications are a plus. (CISSP, Splunk Admin, AWS Solution architect).

2) Media/entertainment or distributed global network experience.

Soft Skills

1) Hands-on technical experience with networking and computing system architectures, specifically, the security aspects thereof.

2) Thorough understanding of information security principles, techniques, principles, policy frameworks, and best practices

3) Hands-on technical experience with compliance and regulatory frameworks and how they affect architecture designs and review

Education / Certifications

1) None required, but certifications preferred.

Location: Database Engineer

Duration: 11-12 months

Location : Austin , TX ( 78759) Hybrid role - In office Mon, Wed, Thurs is a must. (No flexibility on these days)

Job Description:

The Cassandra Database Engineer is an expert across NOSQL database technologies, but specifically a specialist on Cassandra database administration.

For this position, NOSQL database expertise is mandatory with a primary focus on Cassandra databases, as well as expertise in Public Cloud technology (AWS and/or GCP).

For this mission, the engineer will primarily be responsible for database operational activities.

Essential Functions / Key Areas of Responsibility

The Database Engineer primary responsibility footprint:

· Database performance analysis and operations review for production database platforms

· Manage database operations activities including incident response, database alert resolution, and managing third party support engagement

· Deploy and maintain database monitoring solutions.

· Test and build database restore and recovery procedures

· Database platform deployment, installation, patching, change management, and third-party software upgrades.

· Responsible for database hardening procedure identification and deployment on public cloud, hosted, and on-premises platforms.

· Responsible for providing database expertise and operations support to the technical support teams and project delivery teams.

· Responsible for participating in database platform review, bench and tuning exercises, security evaluation, provide technical analysis and proactive recommendations for improvements and/or design changes for production platforms

Minimum Requirements: Skills, Experience & Education

· HS diploma with 8+ experience in Cassandra administration (NOT architecture or design)

· College degree in Computer Science preferred + 8-10 years’ experience

· NOSQL Database: 8-10 years Cassandra administration

· Extensive background with public cloud database deployment, management and migration.

· Expertise in database concepts, defining standards, processes, and procedures in database deployment methodologies

· Expert in operations of high-profile production database platforms with high SLA and high-performance expectation

· High level of experience in managing change on production database platform on hosted, on premise, and cloud database platforms

· Expert in deploying high availability database architectures

· Proactive, team player, and leadership qualities with strong technical background

· Excellent verbal and written communication skills

Preferred Qualifications

· Highly skilled in Cassandra database administration

· DataStax enterprise Cassandra administration a plus

· Strong production operations and troubleshooting skills

· Linux operating system background

· Skilled in Public Cloud deployment methods/tools (Gitlab, Terraform, Datadog)

· Knowledge of Kubernetes and Docker.

· Database performance evaluation and platform bench participation

Special Position Requirements:

Candidate will need to be able to multitask and quickly switch if needed to work on emergency incidents on production platforms. The position requires the ability to be able to manage tight deadlines and have visibility on project delivery goals and the ability to communicate effectively to project teams and management. The candidate will be able to thrive in fast paced work environment.

1. Looking for a candidate that is currently in the position of maintaining Cassandra clusters today (avoid those that have worked in past, or a couple years ago...)
2. How many clusters are maintained today
3. How many nodes
4. What Cassandra version are they
5. How many years have you worked on Cassandra (ideally 5+)
6. Candidate has operations experience and can speak to challenges in his environment today
7. manages patching / upgrades
8. is called upon in crisis to manage
9. delivers new environments
10. Performance tuning experience with Cassandra
11. familiar with backup and recovery
12. Familiar with monitoring Cassandra (Prometheus or Datadog a plus)
13. is go to for other teams on Cassandra database topics
14. Candidate is adaptable to work in fast paced environment, context switching is normal
15. Candidate is ok to be in stressful/challenging situations
16. Outages
17. Crises team
18. War room

AI Innovation Architect

Location: Hybrid; Ashburn, VA; Springfield, VA; Washington, D.C.

Clearance: U.S. Citizen; Must have an active Top-Secret Clearance or DHS Public Trust Clearance.

InDev is seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market. In this role you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

• Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
• Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
• Partner closely with development, DevOps and data engineering teams to translate project requirements into an extensible AI architecture
• Create and promote AI strategies that align with business objectives
• Develop and coordinate POCs to test new technologies
• Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation

QUALIFICATIONS

• U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance
• 8+ years of experience delivering AI solutions across federal agencies
• Bachelor’s degree in Computer Science, Engineering, or Data Science
• Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks
• Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
• Ability to identify high-impact AI use cases and translate them into technical requirements
• Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
• Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
• Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
• Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
• Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders
• Excellent written and oral communication skills
• Ability to tailor and present information across multiple stakeholders

NICE TO HAVES

• Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
• Experience implementing virtual agents within SaaS/PaaS platforms (e.g., ServiceNow Virtual Agent, Salesforce Agentforce, etc.)
• Experience with Google Gemini

ABOUT US

At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.

WHY INDEV

• Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
• Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
• Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
• Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
• Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
• Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.

If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.

• Build Real Skills: Gain hands‑on experience, practical skills, and industry knowledge through meaningful work and targeted learning opportunities.
• Work on Impactful Projects: Contribute to real projects that support business priorities and address real‑world health care challenges.
• Grow Your Network: Connect with leaders, mentors, and fellow interns through networking events and everyday collaboration.
• Learn from Mentors: Receive guidance and feedback from experienced professionals who are invested in your growth.
• Give Back: Participate in community service initiatives and be part of an organization committed to making a difference.
• Support Your Well‑Being: Experience a supportive culture with programs that promote balance and well‑being.
• Launch Your Career: Join an award‑winning, inclusive workplace and explore a future in a growing, evolving industry.

• Currently pursuing a degree in Computer Science, Information Technology, or a related field.
• The availability to work full-time, hybrid in our Schenectady, NY or Rochester, NY Office. Program Duration: Mon. 6/1 - Fri. 8/7
• Basic understanding of network and server infrastructure.
• Familiarity with operating systems (Windows, Linux).
• Strong problem-solving skills.
• Excellent communication and teamwork abilities.
• Commitment to being the difference for our customers in every interaction

• Cloud Migration Support - Participate in migration execution tasks, including validation, testing, and post‑migration checks to ensure systems meet operational standards.
• Azure Administration and Support - Assist with the administration and operational support of Azure environments, including virtual machines, storage, and networking components.
• On-Prem Environment Support - Assist with on‑premises infrastructure support, including server builds, decommissions, and basic configuration tasks.
• Infrastructure Automation - Implement automation practices using Terraform, Ansible, and Semaphore to assist the team in building the next generation of infrastructure deployments on premise or in Azure cloud
• Flexera Cost Optimization & Azure Tagging - Assist with tagging Azure resources to better optimize costs and improve our tagging strategy in Azure.
• Penetration Test Remediation - Assist in addressing vulnerabilities found in recent security penetration testing to better protect and harden MVP assets.
• Data Center Modernization - Assist in upgrading and optimize data center infrastructure, working with a team of Cloud Infrastructure Engineers.
• Infrastructure Technical Debt Reduction - Identify and remediate legacy infrastructure issues to move forward with modernizing MVP technology and services.

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

• 
  
• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

• 
  
• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.
  

Candidates will be disqualified if the following criteria are not met:

• Employment Type: No C2C (Corp-to-Corp) or C2H (Contract-to-Hire) arrangements. W2 contract only. No referral fees will be entertained.
• Work Authorization: US CITIZEN, GREENCARD ONLY, STEM OPT or OPT (with 1.5 years left)
• Onsite
• Local To Englewood Cliffs, NJ or at least 1 hour drive to Englewood Cliffs, NJ
• 5+ years of direct experience in a Project Manager role directly involved with managing and delivering technology projects
• Experience with JIRA and Confluence
• Security & Compliance Management: Understanding of cybersecurity fundamentals (encryption, vulnerability management), managing risk assessments and remediation plans
• SDLC, DevOps & CI/CD Awareness: familiarity with CI/CD pipelines, DevOps, and Infrastructure as Code (Terraform/ARM/CloudFormation)
• Quality Assurance & Testing Governance: knowledge of test planning, defect lifecycle, UAT, and release readiness. Understanding of automated vs manual testing and quality metrics

REQUIRED QUALIFICATIONS

• 5+ years of direct experience in a Project Manager role directly involved with managing and delivering technology projects
• Experience with JIRA and Confluence
• Excellent oral and written communications; ability to adapt messaging for diverse audiences
• Industry experience in new/interactive digital media and publishing
• Experience in establishing Project Management processes in forming environments
• Strong problem-solving/facilitation skills
• Experience operating and influencing others in a matrix organization
• Cloud & Infrastructure Architecture Understanding: ability to manage security, scalability, high availability, and cost optimization
• Security & Compliance Management: Understanding of cybersecurity fundamentals (encryption, vulnerability management), managing risk assessments and remediation plans
• SDLC, DevOps & CI/CD Awareness: familiarity with CI/CD pipelines, DevOps, and Infrastructure as Code (Terraform/ARM/CloudFormation)
• Quality Assurance & Testing Governance: knowledge of test planning, defect lifecycle, UAT, and release readiness. Understanding of automated vs manual testing and quality metrics

SKILLS & REQUIREMENTS

• Resourceful, proactive, and highly autonomous, with an entrepreneurial mindset and a strong bias toward action
• Detail-oriented, with a proven ability to deliver high-quality, polished work
• Highly organized with strong time management skills, able to manage multiple priorities effectively
• Pragmatic and data-driven, applying sound judgment to decision-making, problem-solving, and continuous improvement
• Strong relationship builder who fosters collaboration and trust across teams and functions
• High emotional intelligence, with the ability to empathize, influence, and navigate diverse perspectives
• Clear and effective communicator, adept at facilitating alignment across diverse stakeholders
• Inspires others through strong leadership skills and a positive attitude toward challenges and opportunities
• Strong critical and independent thinker, skilled at creative problem-solving in complex environments
• Demonstrates strong ownership and accountability, leading by example and motivating others to meet shared goals

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Internal Identity & Access Management (I2AM) team is responsible for critical production infrastructure that provides a foundational notion of Identity and strong authentication and authorization controls across Pinterest. Our backend is primarily written in Golang, Python with some C++ while our frontend tools are written in React and TypeScript. We're looking for an experienced software engineer who will help us build robust tooling to define and evaluate access controls across production infrastructure. A security background is not necessary but ideal candidates will have familiarity with the problems or related spaces, such as Infrastructure or Identity.

What you'll do:

• 
  
• Help shape our identity and authorization controls for users, services and AI Agents.
  
• Design, implement, and maintain mission-critical software that will help us deliver robust IAM infrastructure and libraries to our customers.
  
• Collaborate with a variety of teams to build performant and resilient AAA (Authentication, Authorization, Auditing) platform controls into various high-traffic services including our AI Agents, online/offline data platforms, databases, service mesh (Envoy). and other critical infrastructure components.
  
• Represent the I2AM team across the Security Organization and with our X-org partners, including Networking, Data Platform, Cloud Platform, Agent Platform and product teams.
  
• Work with and mentor more junior engineers on the I2AM team.
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• 5+ years of software development experience.
  
• A history of building & operating large scale distributed systems.
  
• Past experience influencing technical architecture and roadmap adoption while working across other teams.
  
• Experience in some of the following areas is a strong plus:
  
  • 
    
  • Infrastructure provisioning tools (Terraform, Puppet, etc.)
    
  • Identity, Account Security, Authentication/Authorization (OAuth, SAML, RBAC) protocols
    
  • AWS or other public cloud infrastructure, containerization such as Kubernetes
    
  • Familiarity with networking protocols (Application layer)
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Hybrid - 3x onsite a week

What we’re looking for:

We are seeking a skilled and proactive Application Security Analyst to integrate security practices into our DevOps processes. The ideal candidate will work closely with development and operations team to ensure secure software delivery pipelines, automate security controls, and foster a culture of shift left in the organization.

What you’ll be doing:

• Design, implement, and maintain secure CI/CD pipelines.
• Integrate security tools (SAST, DAST, SCA, etc.) into development workflows.
• Collaborate with development and operations teams to remediate vulnerabilities.
• Automate security testing and compliance checks.
• Monitor and respond to security incidents in cloud and container environments.
• Develop and enforce security policies, standards, and procedures.
• Stay current with emerging security threats and DevSecOps best practices.

Requirements:

Qualifications/ What you bring (Must Haves):

Highlight Top 3-5 skills:

• Bachelor’s degree in Computer Science, Cybersecurity, or related field.
• 3+ years of experience in DevOps, Security Engineering, or related roles. 2-3 years of security experience. Overall, 6 years
• Strong understanding of CI/CD tools (e.g., Jenkins, Harness).
• Development knowledge on Java, Python, .Net, etc
• Experience with security tools (e.g., Veracode, GHAS, Orca).
• Proficiency in scripting languages (e.g., Python, Bash).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cloud platforms (AWS, Azure, GCP) and their security features.
• Understanding of secure coding practices and application security principles.
• Knowledge of Infrastructure as Code (Terraform, Ansible).

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Emmadi Srikanth

Email: