Clearscale Aws Jobs in Usa

Title: Lead Software Engineer - AI Application Platform

Mode of interview 1 round in person

Location: Must be in Charlotte, NC to work Hybrid Model

Main Skill set: Python, AI and Angular

Description:

Lead Software Engineer - AI Application Platform

The Opportunity

We are seeking a Lead Software Engineer to guide the architectural development and execution of the client, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.

You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.

This is for someone who:

• Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems
• Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment
• Can present architecture clearly to executives and confidently explain both what we're building and why it matters
• Finds more energy in the code your team ships than in the code you write individually
• Has proven depth across the full stack and a track record of developing engineers into stronger contributors

This is not a single-language codebase. The role requires the ability to make informed decisions on TypeScript design patterns, Python FastAPI architecture, AWS security posture, and Terraform state management in context with one another.

The Platform Challenge

The client is fundamentally a Platform-as-a-Service (PaaS) for dynamic application generation. This differs from building a traditional SaaS product. Rather than building one application, you're building infrastructure that enables users to build their own applications.

What this means architecturally:

• Dynamic Content Generation at Scale: Unlike traditional development where code is fixed, AppGen generates JSON form schemas, validation rules, and UI layouts on demand. The FormBuilder component doesn't know what fields will exist until runtime. The layout engine renders user-designed screens from configuration, not hardcoded templates.
• Multi-Tenant Isolation & Data Segregation: Each user gets their own generated app, potentially deployed to their own AWS environment. The architecture must account for data isolation, namespace management, and cross-tenant security considerations.
• User-Defined Data Structures: Traditional applications are built with predetermined database schemas. AppGen works differently—form structures, field types, and validation rules emerge from user conversations with Claude. This brings engineering challenges: How do you safely execute validation logic that users define? When users modify existing forms that have thousands of submissions, how do you maintain backward compatibility? How do you version schemas?
• Content Rendering, Not Code Generation: Unlike traditional no-code platforms where users drag-and-drop to build, AppGen uses AI instead. Users chat with Claude, Claude generates a form schema, and your platform renders that schema reliably across diverse field types, validation patterns, and workflows. The system renders configurations for immediate use, rather than generating code for later deployment.

Experience that directly transfers:

• You've contributed to or led development of low-code/no-code platforms (visual builders, workflow engines, configuration-driven systems)
• You've worked on SaaS platforms with multi-tenant architecture and understand isolation strategies, rate limiting, and per-customer customization
• You've built dynamic rendering systems that handle unknown/arbitrary schemas at runtime
• You've addressed the unique challenges of treating data configurations as user-created content (form builders, report designers, automation workflows)
• You understand the difference between platform infrastructure and applications built on that infrastructure—and the architectural implications of each

Core Responsibilities

1. Technical Architecture & Systems Thinking (40%)

• Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?
• Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?
• Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.
• Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.
• What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.

2. Code Review & Technical Guidance (30%)

• Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.
• Deep technical review: Catch issues thoughtful code review can surface:
• RxJS Observable lifecycle and potential memory patterns in Angular
• Query efficiency and data loading patterns in SQLAlchemy
• Terraform module organization and state management implications
• Type safety and TypeScript coverage gaps
• AWS security and IAM configurations
• Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.
• Define quality expectations: Work with the team to establish what \"production-ready\" means for this platform and support consistent application of those standards.
• What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.

3. Mentorship & Team Development (20%)

• Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.
• Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.
• Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.
• Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.
• What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.

4. Stakeholder Communication & Technical Leadership (10%)

• Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect \"optimizing DynamoDB queries\" to \"improving form submission latency by 30%.\"
• Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.
• Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.

Required Qualifications

Technical Skills

Frontend (Production Experience)

• 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)
• Strong TypeScript skills with generics, discriminated unions, and strict mode
• RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews
• NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications
• CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions
• Material Design: You've worked within it and know when and how to extend it

Backend (Production Experience)

• 5+ years of Python (async/await, type hints, data modeling)
• FastAPI production experience: session management, dependency injection, middleware
• SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically
• AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking
• REST API design: Versioning, error handling, idempotency
• Testing frameworks: pytest, testing st

Our financial services client is looking for a Conversation Designer to join their team! This is a 40 hr/week, hybrid role. Candidates can be located in Westwood, MA, Charlotte, NC, Johnston, RI, Iselin NJ, or Plano, TX!

The Conversation Designer will be responsible for creating, refining, and optimizing natural, human like voice interactions within our AWS Connect IVR system. This role will focus on designing intuitive conversational flows that enhance the customer experience and improve the effectiveness of our Voice Bot.

Key Responsibilities:

- Design conversational workflows and dialogue scripts for AWS Connect based IVR experiences.

- Develop voice interaction models that align with business goals, customer needs, and best in class conversational design principles.

- Collaborate closely with product, engineering, and operations teams to ensure smooth implementation of designed experiences.

- Analyze call data and customer feedback to identify opportunities for improving system understanding, response accuracy, and conversational fluidity.

- Create guidelines, prompts, and tone of voice standards to ensure consistency across all customer interactions.

- Conduct usability testing, tune bot responses, and iterate designs based on real world performance.

- Ensure all conversation designs adhere to compliance, privacy, and accessibility standards.

Required Skills & Qualifications:

- Experience designing conversational experiences for IVR, voice bots, or virtual assistants.

- Hands on experience with AWS Connect, Contact Flow design, and related AWS services.

- Strong understanding of natural language patterns, conversational UX, and voice interaction best practices.

- Ability to translate complex business processes into clear, simple, intuitive customer dialogues.

- Excellent written communication, analytical thinking, and problem solving skills.

- Experience collaborating with cross functional teams in a fast paced environment.

Preferred Qualifications:

- Experience with Amazon Lex, Bedrock, Nova Sonic, or other conversational AI frameworks

- Experience implementing voice biometrics, fraud detection, or advanced authentication

- Knowledge of call analytics, voice transcription, and conversation intelligence platforms

- Experience in financial services or regulated environments

• - Strong background in customer journey design and service design

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.

• 
  
• Shift assignments - nights, weekends, and holidays (when applicable)
  
• Duration: 4-6 hours
  
• On-call shift assignments: 1-2 per month (typical)
  

• 
  
• Team is seeking a?Senior Application Support Engineer (SRE)?to join our dynamic team of consultants. In this role, you'll lead efforts to ensure the reliability, availability, and performance of mission-critical applications and platforms.
  

• 
  
• Be part of a global production operations team responsible supporting external facing web applications.
  
• Manage incidents, perform root cause analysis, and implement preventative solutions.
  
• Collaborate with development, infrastructure, and platform engineering teams to improve system reliability.
  
• Work within a global team to enable 24x7 support model for internal triage, communication, and root cause analysis.
  

• 
  
• Provide 24/7 support as part of a team for production web applications running on AWS or Mulesoft APIs.
  
• Monitor and troubleshoot issues using observability tools like Splunk.
  
• Investigate and expand functionality in Splunk to enable Splunk AI solutions.
  
• Create dashboards and capture metrics to improve visibility and performance.
  
• Respond proactively to system alerts and customer complaints.
  
• Identify where issues are manifesting from source systems or processes and provide recommendations for deflecting incidents
  
• Apply industry best practices to support processes.
  
• Participate in a planned on-call rotation.
  

• 
  
• 2-5 years of experience in Tier 2 or Tier 3 IT support roles (e.g., systems analysis, development, data/reporting).
  
• Strong ability to analyze logs and code to resolve Tier 2 issues.
  
• Experience in application-focused support engineering or SRE roles.
  
• Excellent written and verbal communication skills.
  
• Proficiency with observability tools (OpenTelemetry, Splunk, AppDynamics, Datadog).
  
• Hands-on experience with AWS and/or Kubernetes.
  
• Background in DevOps and scripting (Python preferred).
  
• Familiarity with ITIL practices, incident management, and documentation.
  
• Experience with disaster recovery, business continuity, and ServiceNow dashboards.
  
• Comfortable working in Linux environments and shell scripting.
  

• 
  
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  
• Consulting experience and Agile methodology background.
  
• Proven ability to lead small to medium-sized teams.
  
• Certifications: ITIL Foundation, AWS, Azure, or GCP.
  
• Experience with Mulesoft, Postman, and API testing support.
  
• Understanding of networking concepts in cloud-native environments (AWS/Kubernetes/OpenShift).
  

• 
  
• A proactive, "Can Do" attitude.
  
• Self-driven and autonomous work style.
  
• Strong communication across internal and external teams.
  
• Passion for operational excellence and continuous improvement.
  
• Commitment to compliance and industry best practices.
  

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

We are seeking a Staff Network Engineer (Team Lead) to serve as the senior technical anchor and day-to-day leader for our Network Engineering function. This role blends deep technical expertise with operational leadership-driving architecture, reliability, compliance, and performance across a modern hybrid cloud environment spanning AWS, Azure, and enterprise on-prem infrastructure.

The ideal candidate is a highly skilled network engineer who thrives in complex environments, enjoys owning critical network services, and can provide technical leadership, prioritization, and mentorship to a small but capable team. This role is hands-on, fast-paced, and directly tied to our cloud migration, acquisition integrations, and overall platform modernization.

What You'll Do

Technical Leadership & Architecture

• Serve as the lead engineer responsible for designing, building, and maintaining secure, scalable enterprise network infrastructure across hybrid cloud and data center environments.
• Architect and support complex routing, switching, firewalling, VPN, and load-balancing solutions using Cisco, FortiGate, F5, Cloudflare, and Azure/AWS native controls.
• Lead the networking components of cloud migrations, landing zones, hybrid connectivity, and acquisition integrations.
• Establish engineering standards for network architecture, automation, segmentation, and operational excellence.

Operational Ownership & Reliability

• Lead troubleshooting and root cause analysis for high-severity incidents, ensuring durable fixes and proactive risk reduction.
• Develop and maintain monitoring, observability, and alerting using LogicMonitor and cloud-native tools.
• Build and maintain SOPs, runbooks, configuration standards, and knowledge-base materials to support operational consistency.

Security, Compliance & Audit Support

• Maintain secure configurations aligned with Zero Trust principles, segmentation strategies, and firewall best practices.
• Participate in SOC2, HIPAA, HITRUST, and HITECH audits by preparing and submitting required network-related artifacts.
• Ensure strict adherence to change management-including reviewing, approving, and validating production changes.

Team Leadership & Collaboration

• Provide day-to-day technical direction, workload prioritization, and mentorship to Network Engineers and cross-functional partners.
• Collaborate with Cloud, Security, Infrastructure, and Architecture teams to deliver scalable, highly available solutions.
• Evaluate new technologies, drive continuous improvement, and influence long-term network strategy.

Required Qualifications (Must-Haves)

Candidates must demonstrate strong hands-on expertise in the following areas:

Core Networking & Infrastructure

• BGP and advanced routing protocols, and Cisco Switches
• Cisco Firewalls and FortiGate Firewalls
• VPN technologies (IPSec, policy-based and route-based)
• F5 Load Balancers (LTM/ASM)
• Cloudflare (WAF, CDN, network services)

Cloud Networking

• Azure: ExpressRoute, VNETs, routing, firewalls, hybrid connectivity
• AWS: VPC networking, Transit Gateway, routing, hybrid connectivity

Automation & Tooling

• Scripting (Python, PowerShell, Groovy)
• Configuration automation (Terraform/IaC experience is strongly preferred)

Governance & Compliance

• Experience supporting SOC2, HIPAA, HITRUST, HITECH
• Ability to prepare and submit artifacts during audits
• Experience participating in structured change management processes

Nice to Have

(Not required, but beneficial)

• FortiWeb (WAF)
• Scrum Master, ITIL, or project management background
• Jira / Confluence
• Terraform / IaC tooling
• Experience in M&A network integration
• Cloud networking certifications (Azure/AWS)
• Cisco, Fortinet, or similar industry certifications

Who You Are

You are a senior-level engineer who:

• Owns outcomes, not just tickets
• Excels in complex hybrid environments
• Balances hands-on engineering with day-to-day team leadership
• Is comfortable making architectural decisions with business impact
• Communicates clearly across engineering and non-technical teams

Operates with discipline, accountability, and integrity

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At PG Forsta we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Title - Cloud Engineer

Experience – 5 years

Client – Honeywell

Location – Plano, Texas

Only US Citizens (ITAR position)

We are seeking a skilled Cloud Infrastructure Engineer / Cloud Administrator to manage and support enterprise cloud environments across AWS and Microsoft Azure. This role will be responsible for subscription and account management, security and access control, cost optimization, and ensuring reliable, compliant, and well‐governed cloud operations.

Key Responsibilities

• Manage and administer AWS and Azure subscriptions/accounts, including setup, configuration, and ongoing maintenance
• Design and implement IAM, RBAC, policies, and access management aligned with security best practices
• Handle subscription governance, cost management, budgets, forecasting, and billing optimization
• Provision and manage cloud resources, including compute, storage, networking, and associated services
• Ensure adherence to cloud security, compliance, and governance frameworks
• Monitor cloud environments using native and third‐party tools; perform logging, alerting, and troubleshooting
• Implement and maintain backup, disaster recovery (DR), and high‐availability (HA) strategies
• Support audits, security reviews, and compliance requirements
• Collaborate with engineering, security, and operations teams to enable scalable and resilient cloud solutions
• Identify opportunities for automation, operational efficiency, and cost savings

Required Skills & Qualifications

• Hands‐on experience managing AWS and Azure cloud environments
• Strong understanding of IAM, RBAC, policies, and access control models
• Experience with cloud cost management, budgets, and billing optimization
• Solid knowledge of compute, storage, networking, and virtualization concepts
• Familiarity with cloud security best practices, governance, and compliance standards
• Experience with monitoring, logging, and troubleshooting cloud platforms
• Knowledge of backup, DR, and high‐availability architectures
• Strong analytical, documentation, and communication skills

Preferred Qualifications

• Cloud certifications (AWS, Azure)
• Experience working in regulated or enterprise environments
• Exposure to Infrastructure as Code (Terraform, ARM, CloudFormation)

The ideal candidate will have the following qualifications:

Documentum Expertise

7+ years of experience in designing, developing, and troubleshooting Documentum applications (Content Server, D2 Config, D2 Classic, D2 Smart View, Brava, CTS, Xplore, DFC Client).

Strong understanding of Documentum architecture, object model, and security.

Experience with platform upgrades and migrations.

API Development

2+ years of experience implementing REST APIs using Spring Framework, preferably for Documentum or similar ECM platforms.

Programming & Tools

5+ years of experience with Java and Python.

Proficient in tools and frameworks such as Git, Jenkins, Jira, IntelliJ, Tomcat/J2EE, and relational databases.

Cloud Experience (AWS)

3+ years of experience working with AWS services including EC2, ECS, RDS, ALB, SSM, SQS, SNS, Lambda, and AWS SDK.

Preferred certifications include AWS, Documentum, and Java.

#LI-CGTS

TS-2652

Hi,

I am Suresh Durgam from iPivot. Please find the job description below for your reference. If interested, reply with an updated resume at

Job Title: Node.js Developer

Location: Princeton, NJ (2 Days onsite a week)

Duration: W2 Contract

Note: Only U.S. citizens (NJ/NY/PA) are required.

Skills & Experience Requirements

Strong proficiency in Node.js and TypeScript

Knowledge of Nest.js is a big plus

Proven experience building AWS Lambda based microservices

Solid working knowledge of core AWS services, including:

API Gateway

DynamoDB (NoSQL)

RDS / Aurora PostgreSQL (SQL)

S3, SNS, SQS

CloudWatch (logs, metrics)

Experience designing and developing serverless REST APIs

Familiarity with Infrastructure-as-Code (AWS CDK or Cloud Formation)

Good understanding of SQL and NoSQL data modeling

Experience with distributed systems, event-driven architectures, and asynchronous processing

Ability to build secure, scalable, and maintainable cloud applications

Familiarity with DevOps workflows, CI/CD pipelines (GitLab or GitHub Actions), and unit/integration testing

Knowledge of best practices for logging, validation, error handling, and API performance in AWS

Experience in FedRAMP or other high-compliance environments is a plus

Good communication and collaboration skills in Agile/Scrum or SAFe environments.

Suresh Durgam

E:

/in/suresh-durgam

Note: Interview will be In person

Role and Overview of the role:

This is Senior QA engineer role with eight to ten years experience who also has some experience in leading so that it will be helpful for them to coach candidate, lead, take him to the next level. The position requires candidate to have Java as a mandatory requirement. Karate DSL is not a must but it is good to have if they have knowledge of it. API testing is a must. Looking for somebody who has AWS experience who has keenly worked with these AWS services to know how to test backend. They should have some lead experience so that they have worked on creating test plans, test criterias, test strategies. So they can work independently. Candidates work with the team, deliver the projects. Apart from that, this is going to be a hybrid role.

Top Skills:

l Java - Java Coding

l API Testing

l AWS

l 1 to 2 years of lead experience

l Karate is a plus not a mandatory

Education and Experience

l Years of experience: 10+ yrs experience

l Degree requirement: Bachelor's degree

Typical task breakdown:

Develop test automation code for Continuous Integration (CI), Continuous Delivery (CD), of systems, infrastructure, and test framework.

• Plan, design, develop, and maintain API test automation framework that facilitates automation scripting, execution, and analysis of results

• Provide technical leadership and mentoring for test engineers on multiple applications/projects onshore and offshore; train and mentor project team members to create, execute, analyze, and maintain automated regression suites

• Coordinate with product owner to resolve open issues/enhancements/upgrades and understand the use of a specific functionality as needed

• Develop automated functional scripts using tools such as Java, Karate, JMeter.

• Perform exploratory and manual testing of the product suite as appropriate

• Provide expertise in testing methodologies, best practices, and standards

Technical Skills:

(Required)

- Strong design and development skills in two or more of the following technologies and tools: Java, Cucumber, JBehave or other BDD testing frameworks

• At least 8 years of test automation framework design

• Strong experience in testing Webservices (REST APIs)

• Proven experience developing test scripts, test cases, and test data

• The ability to write queries in SQL or other relational databases

• 3+ years of experience in developing scenario based performance testing using JMeter

• Experience testing full stack and integration testing with 3rd parties

• End-to-end system integration testing experience for software platforms

(Desired)

• Hands on experience with Python

• Development experience in AWS Cloud technology

• Experience in TDD, continuous integration, code review practice is strongly desired

• Experience with Apigee or other API gateways is a plus

• Experience with DevOps concepts and tools (e.g., CI/CD, Jenkins, Git)

• At least 2 years working on an Agile team with a solid understanding of Agile/Lean practices

• Understanding of a micro service Architecture

• Experience load and performance testing

• Strong documentation skills

Soft Skills:

(Required)

• Ability to adapt quickly to a complex environment

• Pro-active, flexible and creative

• Very strong communication skills and the ability to collaborate with developers and business users.