Jobs at Google

Title: Senior Software Engineer (AWS with Scala and Python)

Location: Chicago, IL

Duration: 6+ Months

Requirement:

• At least 5 years of software development experience

• At least 3 years of hands on programming experience with Python or Scala

• At least 2 years of experience with RESTful Web-services

• 2+ years of experience building and deploying applications on cloud – AWS

Title: Senior Software Engineer (Google Cloud with Scala and Python)

Location: Chicago, IL

Duration: 6+ Months

Requirement:

• At least 5 years of software development experience

• At least 3 years of hands on programming experience with Python or Scala

• At least 2 years of experience with RESTful Web-services

• 2+ years of experience building and deploying applications on Google Cloud

Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

IT Google Workspace Engineer

BS/MS degree in Computer Science, Engineering, or a related subject, or equivalent experience.
Proven experience in a Systems Engineer or similar role, with a strong background in IT infrastructure and support.
Google Workspace Expertise: Deep, hands-on experience administering Google Workspace (formerly G Suite) at an enterprise level.
Managed or led and executed the full lifecycle of Microsoft 365 to Google Workspace migrations, including data transfer, user provisioning, and post-migration support
ITSM Knowledge: Demonstrable experience using ITSM tools, with a strong preference for ServiceNow.
Security Mindset: A fundamental understanding of information security principles and experience working collaboratively with security teams.
Scripting & Automation: Solid scripting skills (e.g., Javascript, Python, GAM) to automate tasks and improve efficiency.
Communication & Collaboration: Excellent communication skills, with the ability to articulate technical issues to both technical and non-technical audiences and to work effectively across teams.
Personal Attributes: Highly self-motivated, AI evangelist, possessing an energetic disposition and a positive attitude, geared towards data-driven decisions and focusing on high-impact outcomes.
Change/Incident Management - This position plays a key role in maintaining our service level agreements. The successful applicant will have a track record of applying formal change management procedures to minimize risk and disruption. They will also lead incident response efforts, coordinating with cross-functional teams to quickly diagnose and resolve service outages and major incidents
Autonomous - The successful candidate will be a true owner, capable of single-handedly driving initiatives forward. This includes defining requirements, building out the project plan, and independently managing all necessary resources and tasks to deliver a successful outcome. Your success will be measured by your ability to deliver results with minimal direction
Innovation Readiness Continuously embrace emerging technologies, including AI-powered tools, to enhance service delivery, drive automation, and stay adaptive in a fast-evolving IT landscape

Google Cloud DevOps / SRE Engineer

Core Services: Compute Engine, GKE, VPC, Cloud IAM, Cloud Storage, Cloud SQL.
Networking: VPC peering, Shared VPCs, firewall rules, Load Balancing, DNS, VPN tunnels.
Security: IAM debugging, service account management, Workload Identity Federation, least privilege principles.
Terraform: Writing modules, state management (remote backends), handling dependencies, "DRY" principles.
Pipelines: Jenkins (Declarative/Scripted) and GitHub Actions (YAML workflows).
Deployment: Canary releases, Blue/Green deployment, artifact management (Docker/Helm).
Linux: Deep knowledge of RHEL/Ubuntu/CentOS, kernel tuning, systemd, storage/LVM. {must have skill}
Debugging: Troubleshooting CPU/Memory/IO bottlenecks, analyzing system logs, fixing boot issues.
Languages: Python, Go (Golang), or Java. {must have skill}

Preferred Qualifications:
Certifications: Google Professional Cloud DevOps Engineer / Architect, CKA (Kubernetes Administrator).
Systems: Experience with large-scale distributed systems and microservices.
Process: Familiarity with ITIL, Change Advisory Board (CAB) workflows, and incident management

Google Cloud DevOps / SRE Engineer

Core Services: Compute Engine, GKE, VPC, Cloud IAM, Cloud Storage, Cloud SQL.
Networking: VPC peering, Shared VPCs, firewall rules, Load Balancing, DNS, VPN tunnels.
Security: IAM debugging, service account management, Workload Identity Federation, least privilege principles.
Terraform: Writing modules, state management (remote backends), handling dependencies, "DRY" principles.
Pipelines: Jenkins (Declarative/Scripted) and GitHub Actions (YAML workflows).
Deployment: Canary releases, Blue/Green deployment, artifact management (Docker/Helm).
Linux: Deep knowledge of RHEL/Ubuntu/CentOS, kernel tuning, systemd, storage/LVM. {must have skill}
Debugging: Troubleshooting CPU/Memory/IO bottlenecks, analyzing system logs, fixing boot issues.
Languages: Python, Go (Golang), or Java. {must have skill}

Preferred Qualifications:
Certifications: Google Professional Cloud DevOps Engineer / Architect, CKA (Kubernetes Administrator).
Systems: Experience with large-scale distributed systems and microservices.
Process: Familiarity with ITIL, Change Advisory Board (CAB) workflows, and incident management.

We Are A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you! Our Cloud First group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. About the Accenture Google Cloud Business Group (AGBG) We are the Accenture Google Business Group (AGBG), a team of innovators and builders changing the world with the most advanced cloud-native solutions on the planet. As part of Accenture’s $3B investment in Cloud First, we deliver the promise of technology and human ingenuity, helping our clients navigate their most significant transformations. If you are passionate about solving exciting problems and shaping the future of technology, we would love to talk with you. You Are We are seeking a rare and visionary leader to architect and build our global Mainframe Modernization practice on Google Cloud. This executive role is at the nexus of legacy and innovation, focused on one of the most critical challenges facing large enterprises today: unlocking the immense value trapped within their core mainframe systems. The Work You will be responsible for defining the strategy, building the solutions, and leading the engagements that help our most strategic customers bridge their mission-critical past to an AI-driven future. Your mission is to prove that mainframe transformation is not just about cost savings, but about unleashing decades of invaluable data and business logic to power the next generation of data analytics, AI, and intelligent agents on Google Cloud. Key Responsibilities + Practice Development and Strategic Vision: You will be the founder and leader of Google Cloud's global Mainframe Modernization practice. This involves creating and executing the comprehensive strategy, methodology, and vision for how Google Cloud approaches the mainframe market. You will develop our core point of view, author reference architectures, and build the repeatable frameworks and best practices that will guide every customer engagement, establishing Google as the premier partner for mainframe transformation. + Solution and Offering Incubation: You will spearhead the development of innovative, market-leading solutions that go far beyond simple "lift and shift." This means creating offerings that intelligently connect mainframe data and applications to Google Cloud's data and AI platforms. You will lead the charge in designing solutions for real-time data replication into BigQuery, applying Vertex AI models to decades of transactional history, creating generative AI agents that can interact with legacy business logic, and architecting secure, hybrid environments where mainframes and cloud-native services coexist and create new value. + Executive Advisory and Thought Leadership: You will act as Google Cloud's most senior and credible advisor on mainframe transformation, engaging directly with the C-suite and technical leadership at the world's largest banks, insurers, retailers, and government agencies. You will guide them through the complex strategic decisions of their modernization journey. As the public face of our practice, you will establish our thought leadership by speaking at major industry events, publishing definitive white papers, and building unwavering confidence in Google's unique ability to solve this generational challenge. + Go-to-Market and Sales Enablement: You will be directly responsible for empowering Google's global sales and solution architecture teams to successfully identify, pursue, and win mainframe modernization projects. This includes creating and delivering high-impact training programs, developing sales plays and enablement materials, and personally leading the technical strategy on our most complex and strategic customer accounts. Your leadership will be instrumental in building a significant and sustainable business for Google Cloud. + Partner Ecosystem Curation and Development: Mainframe modernization is a team sport. You will own the strategy for building and nurturing a world-class ecosystem of partners. This involves identifying and cultivating deep relationships with key mainframe modernization software vendors (e.g., re-hosting, refactoring, code conversion tools), data replication specialists, and global system integrators who possess the deep skills required for complex mainframe migration and transformation projects. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need + Bachelor's degree in Computer Science, Engineering (or a related field) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) + Minimum of 15 years of experience in a senior enterprise technology role, with a significant portion focused on mainframe environments. + Minimum of 7 years of experience and deep, hands-on expertise with the IBM Z platform and its core subsystems (e.g., z/OS, CICS, IMS, DB2 for z/OS, JCL, COBOL, Assembler). This is essential for credibility. + Minimum of 7 years of experience and proven track record of architecting or leading large-scale mainframe migration, modernization, or application transformation projects for major enterprises. Professional Skills Requirements + Strong understanding of enterprise architecture, legacy integration patterns, and modern application development. Bonus Points if you Have + Direct experience with a major public cloud platform (Google Cloud Platform is strongly preferred). + Hands-on experience with mainframe modernization tools and techniques (e.g., Micro Focus, Blu Age, GFT, TSRI) and data replication technologies (e.g., Qlik, Fivetran, Striim). + Experience building and leading a professional services, consulting, or technical solutions practice. + Demonstrated experience applying modern data analytics or AI/ML techniques to solve business problems, particularly with legacy data sources. + An extensive network of executive-level relationships within mainframe-heavy industries such as Banking, Financial Services, Insurance, Retail, and Public Sector. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 03/15/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits) Role Location Annual Salary Range California $163,000 to $369,800 Cleveland $150,900 to $295,800 Colorado $163,000 to $319,500 District of Columbia $173,500 to $340,200 Illinois $150,900 to $319,500 Maryland $163,000 to $319,500 Massachusetts $163,000 to $340,200 Minnesota $163,000 to $319,500 New York $150,900 to $369,800 New Jersey $173,500 to $369,800 Washington $173,500 to $340,200 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-3/Accenture-Equal-Employment-Opportunity-Statement.pdf#zoom=50) Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company 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. Additionally, 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 Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

This posting is for an existing vacancy.Minimum qualifications:

Bachelor's degree or equivalent practical experience.
7 years of experience in quota-carrying cloud or software sales, or consultative account management at a B2B software company.
Experience engaging and building relationships with internal teams and customer stakeholders.
Experience managing the full business cycle (e.g., pipeline management, forecasting, reporting).
Experience managing commercial negotiations and agreements.

Preferred qualifications:

Experience with consultative selling to executives, asking insightful, visionary questions, presenting future-forward proposals, and building multi-year account strategies and plans.
Experience qualifying leads and presenting the value proposition of cloud, data, and AI technologies against customers' strategic business opportunities and challenges. Experience showcasing current technology trends and Google Cloud differentiators.
Experience expanding existing accounts, securing new customers, and accelerating consumption business.
Experience leading cross-functional teams and partners in project implementation and negotiation.
Experience with agreement structuring, negotiating sophisticated commercial agreements, and supporting multi-year engagements.
Demonstrated business and financial acumen (e.g., Profit and loss (P&L) management, accurate forecasting).

About The Job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Field Sales Representative (FSR), you will serve as a strategic partner to Google Cloud customers in your territory. You will manage the growth strategy for enterprise accounts, engaging customers with consultative value selling methodology. You will drive long-term business growth by gaining an understanding of our customers high-priority challenges and aligning them with Google Cloud's portfolio of solutions. You will lead the end-to-end sales process, from initiating customer conversations to orchestrating internal and external teams to deliver business commitments and increased consumption. You will advocate the innovative power of our products and solutions to make organizations more productive, collaborative, and mobile.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The Canada base salary range for this full-time position is CAD 118,000-121,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

Develop and implement sales strategies to surpass Business goals and build trusted, consultative relationships with customers. Leverage emerging technology trends, market analysis, and knowledge of cloud solutions to showcase how Google Cloud can transform customers business.
Manage and track the sales pipeline, from lead to close, ensuring health and accurate forecasting for clear visibility into expected outcomes.
Manage complex, multi-year contracts and formulate proposals that illustrate clear return on investment through customer business cases and comprehensive deployment plans.
Mobilize internal experts (Customer Engineering, Partner, Post-Sales) and external partners at the right time to drive consumption and deliver a seamless customer experience.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Location:

San Jose, CA | Scottsdale, AZ

Introduction

We are seeking a highly skilled professional to own the target-state data architecture on Google Spanner, ensuring the new data model satisfies functional correctness, performance SLOs, and transactional semantics required by 1000 applications—before large-scale app rewrites occur. This is a distributed systems architect role.

Required Skills & Qualifications

• Applicants must be able to work directly for Artech on W2
• 10 years in large-scale data architecture
• Deep expertise in Google Spanner internals, including TrueTime, distributed transactions, and synchronous replication
• Experience designing petabyte-scale, multi-region OLTP systems
• Strong understanding of distributed consistency models and failure modes in globally distributed databases
• Prior Oracle to distributed DB migration experience strongly preferred

Preferred Skills & Qualifications

• Experience with Canonical logical data model development
• Expertise in performance readiness assessments
• Familiarity with migration readiness sign-off per domain

Day-to-Day Responsibilities

• Define the Logical Canonical Data Model (LCDM) independent of physical storage
• Design Spanner-native physical schemas, including primary key strategy, row key distribution, and secondary index strategy
• Define transaction boundaries under Spanner constraints and classify workloads by strong consistency vs bounded staleness tolerance
• Work with QA and platform teams to validate CRUD contracts, query semantics, and transaction invariants
• Participate in workload replay analysis and diagnose hot key risks, transaction conflicts, and index amplification
• Act as final authority for Spanner data design decisions and mentor domain architects and engineers

Company Benefits & Culture

• Inclusive and diverse workplace culture
• Opportunities for professional growth and development
• Supportive team environment

For immediate consideration please click APPLY to begin the screening process with Alex.

We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented <Job Title>to join our team. If you're excited to be part of a winning team, CirrusLabs ((url removed)) is a great place to grow your career.

Job Summary: Data Architect/Engineer (Google Cloud Platform)
Duration: 6-12 Months Contact
Location: Issaquah, Washington (Hybrid)
Key Responsibilities
• Data Pipeline Development: Design, build, test, and maintain scalable data pipelines and ETL processes using Python and GCP services (e.g., Dataflow, BigQuery, Pub/Sub).
• Data Integration & Modeling: Implement batch and real-time data integration workflows, optimize data models and architecture for performance and storage efficiency.
• Collaboration & Support: Work with cross-functional teams to gather data requirements and support data analysts with curated datasets and tools.
• System Reliability: Monitor, troubleshoot, and tune data systems for high availability, scalability, and disaster recovery.
• DevOps Enablement: Build and manage CI/CD pipelines using GitHub and Terraform; ensure security compliance and operational readiness.


Mandatory Skills & Qualifications
Technical Expertise:
• Strong Python programming and Spark experience for data analytics.
• Proficient in GCP services: GCS, Dataflow, Cloud Functions, Composer, Scheduler, Datastream, Pub/Sub, BigQuery, Dataproc.
• Skilled in Apache Beam for batch and stream processing.
• Experience with REST API ingestion, JSON messaging, and scripting (Shell, Perl).
• Deep understanding of SQL, cloud-native databases, and data warehousing concepts.
• Engineering & Migration:
• Proven experience in migrating legacy systems to modern cloud-based architectures.
• Familiarity with distributed computing frameworks and large-scale data handling.
DevOps & Security:
• CI/CD pipeline development with GitHub and Terraform.
• Security integration in deployment workflows.
Soft Skills:
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.

SZNS Solutions (pronounced "seasons") operates at the intersection of elite management consulting and forward deployment software engineering. We help customers transform with technology. We're building out our Google Workspace practice and need exceptional people to grow with it.

You get to work with exceptionally smart, talented, and hard working folks at SZNS.

The Role

You'll become a Google Workspace expert and deploy that expertise directly with clients. This means understanding their business problems, designing Workspace solutions, implementing them, and driving adoption. You'll work across the entire stack—from executive change management to technical configuration. You won't be writing code but you’ll be solving problems and making things happen.

Projects include enterprise migrations, security implementations, workflow automation, and organizational transformation initiatives. You'll be the trusted advisor who makes Google Cloud and Workspace actually work for complex organizations.

Who We're Looking For

Recent graduates from top-tier institutions who are exceptionally smart, absurdly detail-oriented, and hungry to build expertise in enterprise technology. You're interested in tech but know you don't want to be a software engineer. You want to work directly with clients, solve real problems, and see immediate impact.

Requirements

What we look for:

• A track record of excellence in whatever you've pursued
• Extreme attention to detail—you catch things others miss
• High bias for action—you figure things out and move fast
• Genuine intellectual curiosity and ability to learn complex systems quickly
• Strong communication skills—you’ll be talking to both executives and technical teams
• Comfort with ambiguity and building things from scratch

You don't need:

• Prior Google Workspace experience (we'll train you)
• Technical background or CS degree
• Consulting experience

What you'll get:

You'll work with the best. Our team is ruthlessly selective, and everyone here is exceptional. You'll get deep expertise in a rapidly growing technology platform, direct client exposure from day one, and real ownership over outcomes. This role can lead anywhere—client-side technology leadership, product management, or continuing to grow with us as we scale.

Benefits

• Competitive salary and benefits package
• Hybrid work environment (MWF in-person in our Reston office)
• A collaborative and innovative work environment
• Continuous learning and development opportunities

Apply

Apply below with a brief note/cover letter explaining why this role is the right fit for you. No cover letter template. Just tell us the story.

We hire based on capability and potential, not credentials alone, but we're extremely selective.

Request ID: (phone number removed)

Bill Rate: $65 MAX

Location: Alpharetta, GA
Duration: 6 months
GBaMS ReqID: (phone number removed)
___________________________________________________________________________

Google Cloud DevOps / SRE Engineer

Core Services: Compute Engine, GKE, VPC, Cloud IAM, Cloud Storage, Cloud SQL.
Networking: VPC peering, Shared VPCs, firewall rules, Load Balancing, DNS, VPN tunnels.
Security: IAM debugging, service account management, Workload Identity Federation, least privilege principles.
Terraform: Writing modules, state management (remote backends), handling dependencies, "DRY" principles.
Pipelines: Jenkins (Declarative/Scripted) and GitHub Actions (YAML workflows).
Deployment: Canary releases, Blue/Green deployment, artifact management (Docker/Helm).
Linux: Deep knowledge of RHEL/Ubuntu/CentOS, kernel tuning, systemd, storage/LVM. {must have skill}
Debugging: Troubleshooting CPU/Memory/IO bottlenecks, analyzing system logs, fixing boot issues.
Languages: Python, Go (Golang), or Java. {must have skill}

Preferred Qualifications:
Certifications: Google Professional Cloud DevOps Engineer / Architect, CKA (Kubernetes Administrator).
Systems: Experience with large-scale distributed systems and microservices.
Process: Familiarity with ITIL, Change Advisory Board (CAB) workflows, and incident management.

Google Cloud ML Engineer- Vertex AI
CCAI Chat Virtual Agent Expert
Dallas, TX (Day1 Onsite)
We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.
Key Responsibilities:
Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using
Google Vertex AI , with proficiency in
Vertex AI Agent Engine
and
Google Agent Development Kit (ADK).
Expertise in building, customizing, and optimizing
chatbots
and
conversational flows
with
Dialogflow
CX/ES , including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
Demonstrated ability to leverage state-of-the-art
NLP ,
LLM , and
GenAI
models
on
Vertex
AI
to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including
CCAI ,
Vertex AI ,
Pub/Sub ,
Cloud Functions ,
Cloud Run ,
Cloud Storage , and
BigQuery
for real-time data processing, analytics, and reporting.
Proficiency in
training ,
fine-tuning , and
deploying
custom
LLMs ,
transformer models , and
Retrieval Augmented Generation (RAG)
pipelines to advance
chat Virtual Agent intelligence .
Solid understanding and practical application of
MLOps
best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with
Vertex AI Pipelines ,
Docker ,
Kubernetes , and
CI/CD
workflows.
Strong experience developing
REST APIs ,
gRPC , and
JSON -based communication for seamless system integration.
Required Qualifications:
6+ years in software development (4+ in NLP/NLU for chat).
Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
Proficiency in GCP services and cloud-native architectures.
Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.
Preferred Qualifications:
Master s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
Knowledge of security and compliance in chat AI.
Soft Skills:
Excellent communication and collaboration.
Strong ownership and end-to-end project delivery.
Leadership in cross-functional environments.
Team Leading and Management.
Checkpoint for quick help
Capability Area
Key Skills/Tools
Conversational AI Design
Vertex AI, Dialogflow CX/ES, LLMs, RAG
NLP/ML/GenAI
Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)
GCP Engineering
CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run
MLOps
Automation
Vertex AI Pipelines, Docker, Kubernetes, CI/CD
API Development
Integration
Python, RESTful APIs, backend integration
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ***.