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Position : JAVA Solution Architect

Location : TX/NJ

Duration Long Term

As a Solution Architect, you will be an integral part of shaping the future of technology. This role requires deep technical expertise to translate complex business requirements into scalable, secure, and compliant technical solutions. You will serve as a bridge between business stakeholders and development teams, ensuring the delivery of high-quality, resilient systems that drive significant business impact.

Key Responsibilities

• Solution Design & Architecture: Lead the design and development of end-to-end enterprise solutions, including high-level and low-level design documents and architecture diagrams.
• Technology & Platform Selection: Select the appropriate technology stack, leveraging expertise in Java, Spring Boot, microservices architecture, and cloud platforms (AWS and Azure) to build robust, scalable, and cost-efficient applications.
• Cloud Migration & Integration: Drive cloud transformation initiatives, including migrating on-premises applications to the cloud and integrating complex systems.
• Security & Compliance: Ensure all solutions comply with the regulatory requirements (e.g., data privacy, security standards) and implement robust security measures, including identity and access management, encryption, and network security.
• Technical Leadership & Collaboration: Provide technical guidance and mentorship to development teams, conducting code and architecture reviews to ensure alignment with architectural principles and best practices. Collaborate with cross-functional teams, including business analysts and project managers, to align technical solutions with business goals.
• Innovation & Problem Solving: Evaluate new and emerging technologies, conducting proofs-of-concept (PoCs) to validate assumptions and drive continuous improvement in products, processes, and tools.

Qualifications and Skills

• Experience:
• 5+ years of relevant experience in a solution architecture or a lead engineering role within financial services or a related regulated industry.
• Proven experience in designing and delivering large-scale IT projects with hands-on experience in Java-based systems.
• Demonstrated experience running production applications in public cloud environments (AWS and/or Azure).
• Technical Skills:
• Proficiency in Java and Java frameworks (Spring, Spring Boot).
• Strong DB Design (RDBMS, NoSQL) abilities
• Strong knowledge of microservices, event-driven architecture (e.g., Kafka), and RESTful API design.
• Experience with cloud services (compute, networking, databases, security) and containerization technologies (Docker, Kubernetes).
• Familiarity with DevOps practices and CI/CD pipelines.
• Soft Skills:
• Excellent communication, presentation, and stakeholder management skills, with the ability to translate complex technical concepts for non-technical audiences.
• Strong analytical, problem-solving, and decision-making abilities.
• A proactive, self-motivated mindset with the ability to work through ambiguous requirements in an agile environment.

Preferred Certifications

• AWS Certified Solutions Architect (Associate or Professional)
• Microsoft Certified: Azure Solutions Architect Expert

Best Regards,

Deepak Gulia

Sr. Talent Acquisition-USA

100 Campus Drive, Suite 420, Florham Park, NJ 07932

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Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.

In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.

At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.

ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker

Need Local Only , We can Do C2C

Title: Software Engineer

Duration: Long term

Location: Cary , IL

Job Description:

Summary/Objective:

A Software Engineer will develop, maintain, and support new or existing software products while applying the best practices of software development. Responsibilities include the ability to work independently and as part of a larger team to deliver quality solutions across all phases of the software lifecycle and across all layers of a software solution.

Job Accountability/Responsibilities

Quality:

• Meet or exceed test coverage goals set for the project through creation of unit and functional tests.

• Minimize the number of production escapes.

• Support user acceptance testing.

• Support or conduct system testing, performance testing, volume testing, and stress testing.

Usability/User Experience:

• Collaborate with business and/or UX teams to create appropriate application user interfaces.

• Assist with mock-ups and user interface design.

• Incorporate UX components into the application.

• Provide feedback to the UX team.

Product Reliability & Response:

• Ensure the system can meet or exceed defined SLA's.

• When primary on-call, respond to pages within 15 minutes and resolve or escalate issues as necessary.

• Resolve production issues and communicate resolution to appropriate stakeholders.

Development:

• Complete stories within estimates and with quality to ensure release dates are met.

• Conduct necessary analysis, design, and prepare technical documentation.

• Estimate story sizes and task out development for a given story.

• Follow the Railinc development process and suggest improvements.

• Work with infrastructure services to make configuration changes and deploy applications.

Leadership (Technical):

• Evangelize Railinc common practices and development procedures.

• Exhibit technical leadership in a given technical subject domain.

• Mentor peers and junior developers.

• Delegate and coordinate functional development tasks as needed.

• Drive innovation in the development, release, and operations processes.

Key Measures:

• Coverage, production escapes.

• Customer satisfaction score.

• System SLA, number of outages.

• Release scope, schedule, and budget.

• Releases.

Knowledge, Skills, Abilities / Minimum Requirements / Competencies

• Works under deadlines and is subject to a heavy project load.

• Ability to explain concepts to technical staff.

• Ability to work independently but also effectively with all co-workers; must be a team player.

• Ability to multitask and prioritize (professionally handle issues and assignments in various stages of resolution on an ongoing basis).

• Ability to communicate and follow up professionally (written and oral) both internally and externally within the organization.

• Demonstrated ability to identify and resolve issues effectively.

• Demonstrated high degree of accuracy and attention to detail.

• Strong Java fundamentals and good design skills.

Education, Experience, Certification/Training

• Bachelor’s degree n Computer Science or equivalent field desired.

• Minimum of 3 years of technical experience.

• Full lifecycle project experience; Agile preferred.

• Experience with Spring, Spring Boot, Hibernate (ORM), Oracle, and Postgres preferred.

• Experience working with Docker and Kubernetes environments preferred.

• UI experience – Angular 2 and above, JavaScript, jQuery, CSS preferred.

• Exposure to AWS technologies preferred (especially serverless technologies such as Lambda, S3, DynamoDB, etc.).

• 5+ years of as a senior full stack software development experience, building enterprise web and middle tier applications using Angular 16, Typescript, and core Java with Spring/Springboot
• 5+ yrs of experience working Java/Spring Boot
• 5 years of experience with web services - JSON, XML, REST, SOAP, etc.
• 5 years of experience with Docker, Kubernetes, Terraform, and AWS cloud deployment/application management.
• 5 years of experience with later versions of Typescript, Angular V16 and Up

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

Job Title: Azure Architect

Location : Chicago, IL (Onsite Role-5 Days Onsite Per week)

Duration : 12+ Months Contract

Teams Meeting Interview

Job Description:

Required Skills:

• Experience with Azure Shell scripting/PowerShell scripting
• Exposure to multiple, diverse technologies and processing environments
• Knowledge of all components of technical architecture
• Strong understanding of network architecture and application development methodologies
• Strong understanding of SOA, object-oriented analysis and design, and/or client/server
• Strong client-facing consultative skills, able to act as a customer advocate;
• Understanding of Windows Server architecture –Windows 2016, Windows 2019 and IIS;
• Understanding of Linux Server architecture – RHEL, Oracle Linux, Amazon Linux, etc.
• Experience with containers (Docker) and orchestration (Kubernetes) technologies;
• Familiar with one or more server-side scripting languages (e.g. PowerShell, Python, Bash)
• Familiarity with server hardware selection, design and troubleshooting;
• Understanding of High Availability and Networked Storage solutions including Clustering, Failover and Disaster Recovery products and concepts such as MS Clustering Services, Load Balancing, Routers, LUNS, SAN and NAS;
• Understanding of application layer protocols, such as HTTP/S, TCP/IP, UDP and Web sockets;
• Demonstrated abilities with SSO-related software such as AADConnect, ADFS, Ping Identity, OpenSSO, oAuth, Okta or other SAML & OpenID Connect providers;
• Understanding of Web application security and concepts, such as Ticketing, header injection, XSS, SSL, HTTPS, Kerberos, certificates, Active Directory, LDAP, reverse proxies and firewalls;
• Hands on experience designing and deploying complex solutions in Azure, AWS, Google Cloud or other cloud providers;
• Excellent presentation and communication skills to technical and non-technical audiences

About the Role

We are seeking a Backend Engineer to help build and maintain the backend services and API’s that power our proprietary AI SaaS CRM and LMS platforms.

You will work directly with our CTO, collaborate with the engineering team, and partner closely with our Product Manager to design, implement, and maintain scalable backend systems.

Our backend services are built primarily with:

• NestJS (TypeScript)
• Python
• Deployed across multiple AWS environments

This is a hands-on backend engineering role focused on API development, cloud deployment, distributed systems, and production-grade reliability.The role has meaningful ownership - not just ticket execution.

What You’ll Do

• Work directly with the CTO on backend design and implementation decisions
• Partner closely with a Product Manager on sprint planning, backlog grooming, translating product requirements into technical solutions, and prioritizing customer-impacting improvements
• Design, build, and maintain backend API services using NestJS (TypeScript)
• Build and support backend services in Python
• Develop and maintain production-grade RESTful APIs
• Contribute to multi-environment deployments across AWS
• Use Terraform to manage our IAC
• Work with CI/CD workflows and structured deployment procedures
• Follow and contribute to engineering documentation including development guidelines, environment configuration standards, security practices, and versioning and changelog management
• Implement and support asynchronous and event-driven systems
• Write clean, maintainable, well-tested code
• Participate in code reviews and maintain high engineering standards
• Debug and resolve production issues across distributed cloud environments

What We’re Looking For (Required)

• 5+ years of backend engineering experience
• Strong proficiency in TypeScript and experience with NestJS
• Strong proficiency in Python
• Experience designing and implementing RESTful APIs
• Experience deploying and maintaining applications in AWS
• Familiarity with multi-environment deployments (dev, staging,UAT, production)
• Experience working with CI/CD pipelines
• Experience with relational databases (PostgreSQL)
• Familiarity with Docker or containerized workflows
• Experience working in GitHub-based workflows in a collaborative environment (pull requests, code reviews, branching strategies, and issue tracking)
• Comfortable working in an agile environment with JIRA and Monday
• Strong communication and problem-solving skills
• Experience building SaaS or multi-tenant platforms

Nice to Have / Strong Plus

• Familiarity with C# & C++
• Experience with Dentrix, OpenDental, or other dental integration PMS’s
• Experience building a greenfield SaaS or B2B software
• Experience with building on a Healthcare platform
• Familiarity with AI-enabled products or LLM integrations
• Experience with Redis or caching strategies
• Experience integrating third-party APIs

Why This Role Is Different

• Direct collaboration with the CTO on backend system design
• Close partnership with Product Management
• Opportunity to help shape a modern, AI SaaS platform for the healthcare industry

Position Title: Senior Software Engineer, Wallet Blockchain Platform

Location: Dallas, TX/Albany NY

Duration: 1+ Year

Onsite Position.

The Role

As a Senior Software Engineer on the Wallet Blockchain Platform team, you’ll get the opportunity to develop your skills and collaborate with engineers in a fun and dynamic environment.

You will work closely with technical leaders and Architects to build a secure crypto platform utilizing modern software development practices.

The Expertise and Skills You Bring

* Bachelor’s degree in computer science or related field required

* 5+ years’ experience in distributed systems development using object-oriented programming languages like Java

* Experience building resilient RESTful API using Java and Spring

* Proficient in databases and SQL

* Understanding of microservice architecture and twelve-factor app patterns

* Ability to build reliable software that can withstand unreliable environments

* Unit and integration test automation using JUnit

* Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins Core

* Strong critical thinking skills to build end-to-end solutions

* Passionate and committed to learning new things and developing with the latest technologies and frameworks

* Work well in both small agile team and independently, having a strong user focus

* Strong analytical and communication skills and the ability to handle multiple tasks at any given time

* Participate in engineering practices such as code and design reviews, environment strategy, and build and deployment pipelines

* Experience with AWS or other cloud platforms and containerization technologies such as Docker is a plus

* Experience with asynchronous workers and resilient messaging services such as SNS and SQS is a plus

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.